ArticlePDF Available

Structural and functional correlates of subthalamic deep brain stimulation-induced apathy in Parkinson’s disease

Authors:

Abstract and Figures

Background Notwithstanding the large improvement in motor function in Parkinson’s disease (PD) patients treated with deep brain stimulation (DBS), apathy may increase. Postoperative apathy cannot always be related to a dose reduction of dopaminergic medication and stimulation itself may play a role. Objective We studied whether apathy in DBS-treated PD patients could be a stimulation effect. Methods In 26 PD patients we acquired apathy scores before and >6 months after DBS of the subthalamic nucleus (STN). Magnetoencephalography recordings (ON and OFF stimulation) were performed >6 months after DBS placement. Change in apathy severity was correlated with (i) improvement in motor function and dose reduction of dopaminergic medication, (ii) stimulation location (merged MRI and CT-scans) and (iii) stimulation-related changes in functional connectivity of brain regions that have an alleged role in apathy. Results Average apathy severity significantly increased after DBS (p<0.001) and the number of patients considered apathetic increased from two to nine. Change in apathy severity did not correlate with improvement in motor function or dose reduction of dopaminergic medication. For the left hemisphere, increase in apathy was associated with a more dorsolateral stimulation location (p=0.010). The increase in apathy severity correlated with a decrease in alpha1 functional connectivity of the dorsolateral prefrontal cortex (p=0.006), but not with changes of the medial orbitofrontal or the anterior cingulate cortex. Conclusions The present observations suggest that apathy after STN-DBS is not necessarily related to dose reductions of dopaminergic medication, but may be an effect of the stimulation itself. This highlights the importance of determining optimal DBS settings based on both motor and non-motor symptoms.
Content may be subject to copyright.
Journal Pre-proof
Structural and functional correlates of subthalamic deep brain stimulation-induced
apathy in Parkinson’s disease
Lennard.I. Boon, Wouter.V. Potters, Thomas.J.C. Zoon, Odile.A. van den Heuvel,
Naomi Prent, Rob.M.A.de Bie, Maarten Bot, P.Richard Schuurman, Pepijn van den
Munckhof, Gert J. Geurtsen, Arjan Hillebrand, Cornelis.J. Stam, Anne-Fleur.van
Rootselaar, Henk.W. Berendse
PII: S1935-861X(20)30311-9
DOI: https://doi.org/10.1016/j.brs.2020.12.008
Reference: BRS 1870
To appear in: Brain Stimulation
Received Date: 25 June 2020
Revised Date: 15 November 2020
Accepted Date: 21 December 2020
Please cite this article as: Boon LI, Potters WV, Zoon TJC, van den Heuvel OA, Prent N, Bie RMAd,
Bot M, Schuurman PR, van den Munckhof P, Geurtsen GJ, Hillebrand A, Stam CJ, Rootselaar A-Fv,
Berendse HW, Structural and functional correlates of subthalamic deep brain stimulation-induced apathy
in Parkinson’s disease, Brain Stimulation, https://doi.org/10.1016/j.brs.2020.12.008.
This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition
of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of
record. This version will undergo additional copyediting, typesetting and review before it is published
in its final form, but we are providing this version to give early visibility of the article. Please note that,
during the production process, errors may be discovered which could affect the content, and all legal
disclaimers that apply to the journal pertain.
© 2020 The Author(s). Published by Elsevier Inc.
Lennard I. Boon: Conceptualization, methodology, software, validation, formal analysis,
investigation, data curation, writing – original draft, writing – review and editing,
visualization, project administration.
Wouter V. Potters: Conceptualization, methodology, software, validation, formal analysis,
investigation, data curation, writing – review and editing, visualization, project
administration.
Thomas J.C. Zoon: Investigation, writing – review and editing.
Odile A. van den Heuvel: Conceptualization, validation, investigation, writing – review and
editing.
Naomi Prent: Software, validation, writing – review and editing.
Rob M.A. de Bie: Conceptualization, investigation, writing – review and editing.
Maarten Bot: Investigation, writing – review and editing.
P. Richard Schuurman: Conceptualization, validation, investigation, writing – review and
editing.
Pepijn van den Munckhof: Investigation, writing – review and editing.
Gert J. Geurtsen: Investigation, writing – review and editing.
Arjan Hillebrand: Conceptualization, methodology, software, validation, investigation,
writing – review and editing, visualization.
Cornelis J. Stam: Conceptualization, methodology, software, investigation, resources, writing
– review and editing.
Journal Pre-proof
Anne-Fleur van Rootselaar: Conceptualization, investigation, resources, writing – review and
editing, supervision, project administration, funding acquisition.
Henk W. Berendse: Conceptualization, investigation, resources, data curation, writing –
review and editing, supervision, project administration, funding acquisisition,
Journal Pre-proof
1
Title
Structural and functional correlates of subthalamic deep brain stimulation-induced apathy in
Parkinson’s disease
Authors
Lennard I. Boon MD MSc
a,b,c
, Wouter V. Potters PhD
c
, Thomas J.C. Zoon MD
d
, Odile A. van
den Heuvel MD PhD
e,f
, Naomi Prent MSc
c
, Rob M.A. de Bie MD PhD
c
, Maarten Bot MD
PhD
g
, P. Richard Schuurman MD PhD
g
, Pepijn van den Munckhof MD PhD
g
, Gert J.
Geurtsen PhD
h
, Arjan Hillebrand PhD
b
, Cornelis J. Stam MD PhD
b
, Anne-Fleur van
Rootselaar MD PhD
c
, Henk W. Berendse MD PhD
a
Affiliations
a
Amsterdam UMC, Vrije Universiteit Amsterdam, Neurology, Amsterdam Neuroscience, De
Boelelaan 1117, Amsterdam, the Netherlands
b
Amsterdam UMC, Vrije Universiteit Amsterdam, Clinical Neurophysiology and
Magnetoencephalography Centre, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam,
the Netherlands
c
Amsterdam UMC, University of Amsterdam, Neurology and Clinical Neurophysiology,
Amsterdam Neuroscience, Meibergdreef 9, Amsterdam, the Netherlands
d
Amsterdam UMC, University of Amsterdam, Psychiatry, Amsterdam Neuroscience,
Meibergdreef 9, Amsterdam, the Netherlands
Journal Pre-proof
2
e
Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Neuroscience, De
Boelelaan 1117, Amsterdam, the Netherlands
f
Amsterdam UMC, Vrije Universiteit Amsterdam, Anatomy and Neurosciences, Amsterdam
Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
g
Amsterdam UMC, University of Amsterdam, Neurosurgery, Amsterdam Neuroscience,
Meibergdreef 9, Amsterdam, the Netherlands
h
Amsterdam UMC, University of Amsterdam, Medical Psychology, Amsterdam
Neuroscience, Meibergdreef 9, Amsterdam, the Netherlands
Corresponding author
Lennard I. Boon, Amsterdam UMC, location VUmc, Neurology, Amsterdam Neuroscience,
De Boelelaan 1117, Amsterdam, the Netherlands.
E-mail: l.i.boon@amsterdamumc.nl
Declarations of interest
RDB received unrestricted research grants from Medtronic. PRS is consultant on educational
activities for Medtronic, Boston Scientific and Elekta. All other authors report no declarations
of interest.
Journal Pre-proof
3
Abstract
Background Notwithstanding the large improvement in motor function in Parkinson’s
disease (PD) patients treated with deep brain stimulation (DBS), apathy may increase.
Postoperative apathy cannot always be related to a dose reduction of dopaminergic
medication and stimulation itself may play a role.
Objective We studied whether apathy in DBS-treated PD patients could be a stimulation
effect.
Methods In 26 PD patients we acquired apathy scores before and >6 months after DBS of the
subthalamic nucleus (STN). Magnetoencephalography recordings (ON and OFF stimulation)
were performed >6 months after DBS placement. Change in apathy severity was correlated
with (i) improvement in motor function and dose reduction of dopaminergic medication, (ii)
stimulation location (merged MRI and CT-scans) and (iii) stimulation-related changes in
functional connectivity of brain regions that have an alleged role in apathy.
Results Average apathy severity significantly increased after DBS (p<0.001) and the number
of patients considered apathetic increased from two to nine. Change in apathy severity did not
correlate with improvement in motor function or dose reduction of dopaminergic medication.
For the left hemisphere, increase in apathy was associated with a more dorsolateral
stimulation location (p=0.010). The increase in apathy severity correlated with a decrease in
alpha1 functional connectivity of the dorsolateral prefrontal cortex (p=0.006), but not with
changes of the medial orbitofrontal or the anterior cingulate cortex.
Journal Pre-proof
4
Conclusions The present observations suggest that apathy after STN-DBS is not necessarily
related to dose reductions of dopaminergic medication, but may be an effect of the stimulation
itself. This highlights the importance of determining optimal DBS settings based on both
motor and non-motor symptoms.
Key words
Parkinson’s disease; deep brain stimulation; apathy; magnetoencephalography; functional
connectivity
Abbreviations
STN subthalamic nucleus
dlPFC dorsolateral prefrontal cortex
antCC anterior cingulate cortex
medORB medial orbitofrontal cortex
HPI head position indicator
MDS-UPDRS-III Movement Disorders Society Unified Parkinson’s Disease Rating Scale
(motor part)
tSSS temporal extension of signal space separation
AAL automated anatomical labelling
ROI region of interest
Journal Pre-proof
5
cAEC corrected amplitude envelope correlation
ANT advanced normalization tools
MNI Montreal Neurological Institute
LEDD levodopa equivalent daily dose
NMSS non motor symptom scale
Journal Pre-proof
6
Introduction
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for
Parkinson’s disease (PD) patients with disabling fluctuations in motor symptoms[1-3].
Despite excellent effects on motor symptoms, emotional, behavioural and cognitive
disturbances associated with STN-DBS have been reported[4-7]. Apathy is a frequently
observed symptom after STN-DBS in PD (prevalence ~25%) and is associated with a
decrease in the quality of life[8-11].
Apathy can be defined by a lack of motivation, diminished goal-directed behaviour
and decreased emotional involvement[12]. Apathy after DBS has been attributed to
mesolimbic denervation[10] and dose reductions in dopaminergic medication[13], although a
consistent correlation with the latter has not been found[10, 14, 15]. The results of a recent
animal study suggest that impaired motivation may be an effect of the brain stimulation itself
[16]. Moreover, in DBS-treated PD patients apathy scores correlated with the position of
active DBS contacts[4, 17, 18], as well as with DBS-related changes in cortical glucose
metabolism[15]. However, a study in which the functional effects of deep brain stimulation
(DBS-ON versus DBS-OFF) are related to apathy scores is currently lacking.
In the current study, we selected three bilateral brain regions that have an alleged role
in apathy: the dorsolateral prefrontal cortex (dlPFC), the anterior cingulate cortex (antCC) and
the medial orbitofrontal cortex (medORB). Functional changes in the antCC and the medORB
appear to be related to emotional-affective apathy[10, 19], whereas functional changes in the
dlPFC are associated with cognitive apathy (mostly via executive cognitive dysfunction)[20,
21].
In a previous magnetoencephalography (MEG) study, we demonstrated that DBS has
widespread effects on oscillatory brain activity and functional connectivity and that changes
Journal Pre-proof
7
in the latter correlate with DBS-related improvement in motor scores[22]. Based on this
observed correlation between functional connectivity changes and motor effects, we decided
to study apathy-related functional connectivity changes. Specifically, in this MEG study using
a DBS ON-OFF setup, we aimed to determine whether change in pre-to-post-DBS apathy
score correlated with (i) the dose reduction of dopaminergic medication, (ii) the stimulation
location and (iii) changes in functional connectivity of the three pre-selected bilateral cortical
brain regions. In line with a previous case-report from our group[4], we hypothesized that
postoperative apathy can be an effect of stimulation of the ventral (limbic) STN, affecting
brain regions involved in emotional-affective processing.
Materials and methods
Patients
A total of 33 PD patients who had undergone bilateral STN-DBS implantation between 2016
and 2018 at Amsterdam UMC, location AMC, participated in this study (after consecutively
approaching eligible patients) and underwent MEG recordings at least 6 months after DBS
electrode placement (range 6-17 months; median 7 months). Inclusion and exclusion criteria
were previously described[22]. In the context of standard clinical care, the stimulation
parameters were individually determined for optimal therapeutic efficacy (regarding motor
effects) and monopolar stimulation was applied. All patients were implanted with a Boston
Scientific Vercise directional stimulation system (Valencia, CA, USA). Of the 33 PD patients
included in this study, five patients were excluded from further analysis due to excessive
noise in more than ~13 MEG channels during the ON-stimulation recording, which prevented
the use of the temporal extension of Signal Space Separation (tSSS; see MEG data
preprocessing). One patient was excluded because of missing clinical data (pre-DBS apathy
Journal Pre-proof
8
score) and one patient as a consequence of excessive tremor during the OFF-stimulation
recording. This led to a final study sample of 26 patients. The research protocol describing the
MEG, psychiatric and neuropsychological data collection was approved by the medical
ethical committee of Amsterdam UMC, location VUmc. Ethics review criteria conformed to
the Helsinki declaration. All patients gave written informed consent before participation.
Data acquisition
Study visits took place after an overnight withdrawal of dopaminergic medication (practically
defined off-state). MEG data were recorded using a 306-channel whole-head system (Elekta
Neuromag Oy, Helsinki, Finland) in an eyes-closed resting-state condition, with a sample rate
of 1250 Hz and online anti-aliasing (410 Hz) and high-pass (0.1 Hz) filters. The head position
relative to the MEG sensors was recorded continuously using the signals from five head
position indicator (HPI) coils. For each subject, the total MEG recording time was 55
minutes, consisting of 11 trials of 5 minutes. In each trial different DBS stimulation settings
were used. The first recording was during bilateral stimulation with the standard DBS-settings
of the individual patient (DBS-ON). Subsequently, nine recordings took place in randomized
order, eight of which consisted of unilateral stimulation using a single electrode contact (data
not presented) and one recording during DBS-OFF. The eleventh and last recording was,
again, performed during stimulation using the standard DBS-settings of the individual patient
(DBS-ON2; data not presented). Further details on the MEG acquisition can be found in Boon
et al.[22].
Anatomical images of the head were obtained in the context of standard pre-operative
imaging up to 6 months before surgery using a 3T magnetic resonance imaging (MRI)
scanner (Philips Ingenia, Best, the Netherlands) and a 16-channel receiver coil. We acquired
Journal Pre-proof
9
post-gadolinium volumetric T1-weighted scans (TR 8.8–9.1ms; TE 4.0–4.2ms; flip angle
(FA) 8°; field of view (FOV) 256×256mm; slice thickness 1.0mm; 1.0×1.0mm; 169 slices)
and T2-weighted scans using a slab covering the brain from the superior cerebellar peduncle
to the top of the lateral ventricles (TR 4000.0–5233.2ms; TE 80.0–87.7ms; FA 90°; FOV
432×432/560×560mm; slice thickness 2mm; 0.5×0.5mm; 46–80 slices). For 21 patients, on
the postoperative day, a multidetector CT-scan of the head was acquired (Philips Medical
System, Best, The Netherlands; slice thickness 1–2mm; FOV 512×512mm; 56–169 slices).
For the five remaining participants, an intra-operative CT-scan was acquired using a
Medtronic O-arm O2 (high definition mode; 20 cm FOV; 192 slices; 120 kV; 150 mAs;
Medtronic Inc., Minneapolis, MN, USA).
Apathy scores reflecting the last 4 weeks[23] were obtained from the patient (helped
by the patient’s relative or caregiver, if possible) using the patient-based version of the
Starkstein apathy scale[24], both at baseline (several days before DBS placement) and after
DBS placement (several days before the study visit) with patients on medication and ON
stimulation in the standard settings of the individual patient. This validated apathy scale
ranges from 0 to 42 and patients with an apathy score >14 were considered apathetic (in line
with [24]). Hamilton Depression Scores and Hamilton Anxiety Scores[25] were also obtained
at baseline and during the study visit. Neuropsychological tests of executive functioning
(Trail Making Test A and B; Stroop Test 1-3) were performed before DBS placement and
after six months of DBS therapy by a licensed clinical neuropsychologist on medication and
ON stimulation. Motor function was scored by trained nurses using the motor part of the
Movement Disorders Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS-III)
both at baseline and, approximately six months after DBS placement, during DBS-ON and
DBS-OFF, off medication.
Journal Pre-proof
10
Data processing
MEG data
MEG channels that were malfunctioning or noisy were ignored after visual inspection of the
data. Thereafter, the temporal extension of Signal Space Separation (tSSS[26, 27]) in
MaxFilter software (Elekta Neuromag Oy, version 2.2.15) was applied with a subspace
correlation-limit of 0.8 to suppress the strong magnetic artefacts[22]. MEG data of each
patient were co-registered to their T1 MRIs using a surface-matching procedure, with an
estimated accuracy of 4mm[28]. A single sphere was fitted to the outline of the scalp as
obtained from the co-registered MRI, which was used as a volume conductor model for the
beamformer approach described below.
The automated anatomical labelling (AAL) atlas was used to label the voxels in 78
cortical and 12 subcortical regions of interest (ROIs)[29, 30]. We used each ROI’s centroid as
representative for that ROI[31]. Subsequently, an atlas-based beamforming approach[32] was
used to project broad-band (0.5-48 Hz) filtered sensor signals to these centroid voxels,
resulting in broad-band time series for each of the 90 ROIs (see Hillebrand et al.[33] for
details). The source-reconstructed MEG data were visually inspected (by LIB) for tremor-,
motion- and stimulation-related artefacts and drowsiness. The MEG data were cut into ~22
epochs per (5 minute) recording. Epochs were then downsampled from 1250 Hz to 313 Hz
(4x) and contained 4096 samples (13.12 s). For each recording, the 50% epochs with the
lowest peak frequency (estimated within the 4-13 Hz frequency range using automatic
quantification) were discarded in order to minimize the risk of including episodes with
drowsiness. For each condition, 10 epochs with the best quality (visual selection based on the
absence of artefacts and drowsiness) were selected for further analysis. Spectral and
functional connectivity analyses were performed using BrainWave (version 0.9.152.12.26;
Journal Pre-proof
11
CJS, available from https://home.kpn.nl/stam7883/brainwave.html). For frequency band-
specific analyses, epochs were filtered in five frequency bands (delta (0.5-4 Hz), theta (4-8
Hz), alpha1 (8-10 Hz), alpha2 (10-13 Hz) and beta (13-30 Hz), using a Fast Fourier
Transform. The gamma band was not analysed as we had observed stimulation-related
artefact peaks in this band in a previous study[22]. For each epoch, frequency band-specific
functional connectivity was estimated using the corrected Amplitude Envelope Correlation
(cAEC), an implementation of the AEC[34] corrected for volume conduction/field spread,
using a symmetric (pairwise) orthogonalisation procedure[34, 35]. The cAEC was calculated
for all possible pairs of ROIs, leading to a 90x90 adjacency matrix.
Imaging data
To determine the stimulation locations after placement of the DBS system, the electrode
trajectories were reconstructed using Lead-DBS (Lead-DBS, version 2.2; http://www.lead-
dbs.org[36]). To this end, the post- or intra-operative CT-scan was co-registered to the pre-
operative MR image using a two-stage (rigid and affine) registration as implemented in
Advanced Normalization Tools (ANT[37]). In three cases in which only an intra-operative
CT-scan was available, the co-registration failed using ANT. In these cases, co-registration
was successfully performed using FSL FLIRT. Co-registration was followed by a
semiautomatic localization of the electrode positions on the CT data in patient space.
The electrode stimulation positions were then transformed from patient space to Montreal
Neurological Institute space (MNI ICBM 2009b NLIN ASYM space) to facilitate group-level
analyses. The DISTAL Minimal atlas[38] was used as outline of the STN. Next, the
midpoints of stimulation positions were projected on a vector running through the
longitudinal axis of the STN (from ventromedial to dorsolateral), leading to one scalar value
Journal Pre-proof
12
to indicate each stimulation position, where negative values indicated more ventromedial
stimulation positions.
Statistical analysis
We tested the differences in proportion of apathetic patients (pre- versus post-DBS) using a
chi-square test, change in apathy score, MDS-UPDRS-III score, and levodopa equivalent
daily dose (LEDD)-score using paired t-tests (all pre-DBS versus post-DBS). Correlations
between the change in apathy score and change in LEDD, change in MDS-UPDRS-III score,
stimulation positions, change in depression score, change in anxiety score, and change in
executive functioning (difference in T-scores (mean of 50±10), normed by age and education)
were estimated using Pearson correlations. Next, in order to explore the possibility of
confounding variables explaining change in apathy scores, the abovementioned variables
were combined into a single hierarchical linear regression model using a backward
elimination method (in which change in apathy score functioned as dependent variable).
For each patient, stimulation condition and frequency band separately, functional
connectivity matrices were averaged over 10 epochs. Next, we obtained the average
functional connectivity between one ROI and the rest of the brain by averaging functional
connectivity values over each column of the matrix. We then calculated the change in
functional connectivity (DBS-ON versus DBS-OFF) for three pre-selected cortical brain
regions, the dlPFC (AAL-region: middle frontal gyrus, as previously used by Pretus and co-
workers[39]), antCC and medORB, and correlated these values with the change in pre-to-
post-DBS apathy score. As the functional connectivity data was not normally distributed
(despite attempts to transform the data) this was done using Spearman correlations.
Journal Pre-proof
13
All analyses were performed using the SPSS Statistics 20.0 software package (IBM
Corporation, New York, USA), using a significance level of 0.05 (two-tailed). Bonferroni
correction was applied for the number of seed regions in the Spearman correlations between
change in apathy score and change in functional connectivity. Due to the exploratory nature of
the study, we did not correct for the number of frequency bands used for the functional
connectivity estimates.
Data availability statement
The data and codes used in this study are available from the corresponding author, upon
reasonable request.
Results
Patients
26 DBS-treated PD patients, whose characteristics are summarized in Table 1, were included
in this study. DBS significantly improved off-dopamine motor function with a mean change
of 51.2% in MDS-UPDRS-III score (t(25)=9.21; p<0.001) and the LEDD was significantly
lowered after DBS placement (t(25)=8.01; p<0.001; see Table 1). The mean number of
excluded MEG channels before running tSSS was 9 for DBS-ON recordings (range: 4-13)
and 6 for DBS-OFF recordings (range: 2-12).
Journal Pre-proof
14
Apathy
In 24 of the 26 PD patients apathy severity increased after DBS and the number of apathetic
patients increased from 2 pre-DBS to 9 post-DBS (X
2
(1,26)=4.093, p=0.043). Apathy
severity scores were significantly higher during follow-up than at baseline (pre-DBS versus
post-DBS; t(25)=6.47, p<0.001). Increase in apathy severity did not correlate with decrease
in LEDD, neither taking all dopaminergic medication into account (p=0.157; Supplementary
Figure A.1), nor dopamine agonists alone (p=0.503; Supplementary Figure A.2). Change in
apathy severity did not correlate with improvement in motor function (MDS-UPDRS-III;
p=0.518; Supplementary Figure A.3). Change in apathy severity did also not correlate with
change in depression severity (p=0.443; Supplementary Figure B.1), change in anxiety
severity (p=0.710; Supplementary Figure B.2), nor with change in executive functioning
(p=0.693; Supplementary Figure B.3). Lastly, as a recent paper shows that motor asymmetry
can predict emotional outcome of STN-DBS [40], we compared the change in apathy score
for patients with left- and right-sided onset of motor symptoms, but there was not difference
(t(25)=0.68, p=0.501).
Apathy and DBS localization
In Figure 1A, the midpoints of the stimulation positions of all active contact points are
depicted in standard MNI space relative to an atlas representation of the STN. Increases in
apathy scores are color-coded, ranging from no increase (green/yellow) to a strong increase
(dark red) in apathy severity. There was a significant correlation between a more dorsolateral
stimulation position (along a vector) and increase in apathy severity post-DBS for the left side
(p=0.010), but not for the right side (p=0.491; Figure 1B). In contrast, there was no
Journal Pre-proof
15
relationship between stimulation position (along the same vector) and the degree of
improvement in total motor score (UPDRS-III; Supplementary Figure E).
Next, we performed a hierarchical linear regression model using a backward elimination
method to study the relationship between stimulation location and change in apathy score,
including the following covariates: pre- to post-operative change in executive functioning,
depression score, anxiety score, LEDD total, LEDD of dopamine agonist, and motor function.
For the left side this resulted in the following model: R
2
=0.465 ; change in depression score,
β(standardized)=0.587, p=0.039; stimulation position, β(standardized)=0.727, p=0.015. For
the right side no statistically significant model could be fitted.
Apathy and functional connectivity
The three a priori selected cortical brain regions are depicted in Figure 2A. The centroid
voxel was taken as representative for each individual brain region, and its time-series was
used for the estimation of functional connectivity. A significant negative correlation was
found between the pre-to-post-DBS change in apathy score and the stimulation-related change
in functional connectivity of the bilateral dlPFC with the rest of the brain (alpha1, p=0.006;
alpha level was adjusted to 0.05/3 to correct for multiple comparisons as three seed regions
were studied; Figure 2B). A reduction in stimulation-related functional connectivity was
related to an increase in post-operative apathy. In contrast, no significant correlations were
found for the medORB (alpha1, p=0.298), as well as for the antCC (alpha1, p=0.163).
Correlations with functional connectivity in the other frequency bands can be found in Table
2.
Journal Pre-proof
16
As a post-hoc visualization, both for patients with weaker (<5) and patients with
stronger (>5) increase in apathy severity (based on a median split of the data) we showed the
distribution of stimulation-related changes in alpha1 functional connectivity of individual
connections linked to the dlPFC (Figure 3). In line with the correlation previously shown, we
observed a stimulation-related lowering in functional connectivity in patients with a stronger
increase in apathy severity. Furthermore, stimulation-related functional connectivity changes
in both groups mostly involved connections with frontal brain regions. Functional
connectivity matrices and functional connectivity of the three seed regions (alpha1; both
DBS-OFF and DBS-ON) averaged over all subjects are provided in Supplementary Figure C
and D.
Discussion
In this study, we investigated apathy after STN-DBS treatment in patients with PD, in
particular the relationship between DBS-related increase in apathy severity and stimulation
location, as well as the association between DBS-related increase in apathy severity and
stimulation-induced changes in functional connectivity. Our results confirm the notion that
apathy severity increases after STN-DBS in PD and that the stimulation itself may play a role
in this increase[15, 17, 18]. The pre-to-post-DBS increase in apathy severity was associated
with a more dorsolateral position of the stimulation for the left hemisphere, as well as a
stimulation-related reduction in alpha1 band functional connectivity of the bilateral dlPFC
with the rest of the brain. The latter could be interpreted as a stimulation-related loss in
connectedness (functional communication) of this brain region with the rest of the brain in
patients who became apathetic.
Journal Pre-proof
17
We found no significant correlation between the increase in pre-to-post-DBS apathy
score and the degree of reduction of dopaminergic medication in the present study.
Reintroduction of dopaminergic medication has previously been shown to improve post-
operative apathy[13] suggesting a causal role for dopamine withdrawal in the occurrence of
apathy. However, a recent animal study has demonstrated that impaired motivation caused by
deep brain stimulation itself can also be reversed by a dopamine agonist[16]. We
acknowledge that post-operative apathy is a complex and multifactorial phenomenon in which
adjustments of dosages of dopaminergic medication, degeneration of dopaminergic
neurons[41], as well as the stimulation itself may have a role.
The STN occupies a central role in several functionally different basal ganglia circuits and
comprises specific motor (dorsolateral), associative (central) and limbic (ventromedial)
regions[42, 43]. The influence of the stimulation location in or around the STN on the
occurrence of post-DBS apathy is as yet unclear. Two case-studies have described the
induction of apathy by stimulation of the zona incerta[13, 44], located dorsally from the STN,
whereas another case study demonstrated that apathy resolved by switching from a ventrally
located contact point to a more dorsal contact point[4]. By contrast, in one study cohort
(analysed in two publications[17, 18]), apathy scores (non-significantly) decreased in PD
patients after STN-DBS placement. Above-average decreases in apathy scores were related to
stimulation around the ventral border and the sensorimotor subregion of the STN and below-
average decreases were related to stimulation dorsal to the STN[17, 18]. A potential
explanation for the fact that decreases rather than increases in apathy severity were found in
the latter study is that subscores related to apathy derived from the Non Motor Symptom
Scale were used as a measure of apathy, which is not recommended for the assessment of
apathy in PD [23].
Journal Pre-proof
18
We found a significant increase in apathy severity after STN-DBS. In addition, we
observed a significant correlation between increase in pre-to-post DBS apathy score and a
more dorsolateral stimulation location relative to the STN for the left hemisphere, but not for
the right hemisphere. As the occurrence of apathy has previously not been related to laterality
of DBS[45, 46], we refrain from drawing any conclusions from this left-right difference.
Despite the fact that dorsolateral stimulation positions in the motor part of the STN are
considered as the optimal STN target resulting in the best clinical motor effects (and hence a
stronger reduction in dopaminergic medication dose)[47, 48], increased apathy severity was
not associated with a stronger improvement of motor symptoms. In addition, we did not find a
relation between stimulation position and the degree of improvement in motor score
(Supplementary Figure E), contrasting with the results of the study by Bot and coworkers[48].
Our study differed in several aspects though, including the method of localizing the electrodes
(patient versus standard space), method of quantifying the stimulation location (vector
through the longitudinal axis of the STN versus Euclidian distance to the medial STN border),
and the motor scores used (overall UPDRS-III versus unilateral motor score).
When combining our observations with those of previous studies[13, 17, 18, 44], we
conclude that, in contradiction with the previously proposed mechanism (and our own
hypothesis)[4, 49], stimulation in the ventral part of the STN (the limbic regions) does not
necessarily induce apathy. Our findings even suggest that apathy may worsen by a stimulation
location in proximity to the motor region of the STN. Moreover, the fact that increase in
apathy severity did not correlate with improvement in motor symptoms leads us to conclude
that finding an optimal stimulation location, striking a balance between the least apathy and
the best motor response, seems feasible. Future longitudinal studies using a within-subject
design in which the stimulation in case of post-DBS apathy is switched to an alternative
(more ventral) contact point may shed further light on this matter. In addition, studies that
Journal Pre-proof
19
take into account individual differences in the division of subregions using structural
connectivity profiles of the STN (using high-resolution MRI techniques) could guide the
search for an optimal stimulation position.
The fact that we found stimulation-related changes in functional connectivity of the dlPFC
to be associated with the pre-to-post-DBS increase in apathy severity, suggests an (executive)
cognitive substrate, rather than an emotional-affective type of apathy (which is more related
to the antCC and medORB). However, recent findings by Irmen and coworkers suggest a
structural link between DBS stimulation, the left prefrontal cortex and depressive
symptoms[50]. Moreover, in our study increases in apathy severity were not associated with
changes in executive functioning, whereas in the multiple regression model there was a
relation between improvement in depression scores and better apathy scores after surgery (in
the context of left-sided stimulation). It remains to be determined whether the occurrence of
apathy after DBS has a cognitive or emotional-affective basis.
Our results on stimulation-related changes in functional connectivity were most outspoken
for the alpha1 band (8-10 Hz). A direct functional loop of resting-state alpha band coherence
has previously been observed between the STN and the ipsilateral temporal cortex[51-53], but
not the dlPFC. This could suggest that the dlPFC is indirectly influenced by DBS via
downstream effects on the thalamus, although there may also be direct antidromic stimulation
effects via the hyperdirect pathway (albeit the latter mechanism would be more likely for the
medial prefrontal cortex than for the dlPFC[54, 55]). The complex balance between
downstream (via the thalamus) and antidromic stimulation effects (hyperdirect pathway) may
also explain the differential effects of stimulation; an increase in FC in some patients and a
decrease in FC in others.
Journal Pre-proof
20
The present study has some limitations that need to be addressed. (i) We correlated
change in apathy severity over a time interval of >6 months with differences in functional
connectivity between ON-DBS and OFF-DBS conditions recorded on the same day.
Nevertheless, we believe that studying DBS effects (ON versus OFF) on the same day offers
the advantage of a better insight into the effect of brain stimulation itself (in which we
interpret the DBS-ON setting, and not turning off, the stimulation as the intervention), without
any bias of disease progression or change in the dose of (dopaminergic) medication over time.
The occurrence of apathy is generally assessed over a period of four weeks and can therefore
not be tested in a DBS-ON versus DBS-OFF setup[23, 24]. However, since we lacked an ON-
OFF paradigm in the apathy scores, we must be cautious in drawing conclusions on causality
beyond the observed correlation. (ii) We correlated the change in apathy scores obtained on
medication with MEG recordings recorded off medication. The off-medication state of the
subjects may have influenced the MEG signals. However, as the subjects served as their own
controls in this DBS ON-OFF setup, we expect the influence of the off-medication state on
our results to have been minimal. (iii) The correlation between the position of stimulation and
the change in apathy severity was based on the position of the stimulation sites along a vector
running through the longitudinal axis of the STN, from the ventromedial tip in a dorsolateral
direction. Although this correlation analysis does not provide information on the optimal
position of stimulation in 3D, it does give an intuitive idea of the different stimulation
positions throughout the functional subdivision of the STN. (iv) Previously, we described the
potential effects of monopolar DBS on MEG signals[22]. Despite the ability of tSSS and
beamforming to effectively suppress artefacts[56, 57], two sharp peaks remained in the power
spectrum during stimulation, at ~27 Hz and ~35 Hz. As the peaks did not appear to affect the
alpha1 band, we consider the influence of stimulation artefacts on our results to be limited.
Furthermore, the estimation of (changes in) functional connectivity may be influenced by
Journal Pre-proof
21
modulation of the signal to noise ratio in the seed regions[58]. It is unlikely that our results
can be explained by such modulations, since there was no relation between change in absolute
alpha1 band power and change in functional connectivity in the three seed regions
(Supplementary Figure D). (v) Instead of focusing on the functional effects of stimulation in
all brain regions, we chose to select only three (literature-based) brain regions, which
prevented us from testing an abundance of other possible correlations. In addition, our MEG
analysis lacked the spatial resolution to study subcortical brain regions such as the nucleus
accumbens, which has previously been associated with apathy in PD[59]. As a consequence,
we may have missed brain regions that may be associated with the occurrence of apathy.
However, we assume that, in accordance with a previous PET-study in DBS-patients with
apathy[15] the stimulation-related change in the dlPFC specifically reflects the increased
apathy severity and does not represent a global phenomenon such as stimulation-related
vigilance affecting background alpha-activity. To verify this in a negative control brain
region, we tested whether stimulation-related changes in functional connectivity of the
bilateral inferior occipital lobe correlated with the change in apathy severity and this was not
the case (alpha1, Spearman’s ρ(24)=-0.227; p=0.265).
Important strengths of this study include the DBS ON-OFF setup taking place on the same
day. Second, the use of MEG (instead of EEG) in source-space, in combination with a
leakage-corrected connectivity measure (cAEC), offers good spatial resolution, enabling
interpretation of the findings in an anatomical context. Last, the Starkstein apathy scale used
in our study has very high intra- and interrater reliability[24]. Regarding the scores on post-
DBS apathy, we consider our study sample as representative for the STN-DBS population, as
the average apathy scores were comparable to those in a large longitudinal cohort[11, 60].
In conclusion, we found that increase in apathy severity after STN-DBS might well be an
effect of the stimulation itself. Increased apathy severity scores correlated with a more
Journal Pre-proof
22
dorsolateral stimulation location (left hemisphere) and with reduced functional connectivity of
the dlPFC, not with decreases in dopaminergic medication dose. Hence, the occurrence of
apathy after DBS might not necessarily be linked to stimulation of the limbic STN, whereas
the correlation with dlPFC connectivity suggests that it may even have a cognitive substrate.
To further validate this hypothesis, future prospective (within-subject) studies are necessary to
determine whether switching stimulation to an alternative, more ventromedially located,
contact point can resolve DBS-induced apathy, preferably without losing clinical
effectiveness on motor symptoms, along with a normalization of functional connectivity of
the dlPFC.
Acknowledgements
We thank all patients for their participation. We thank Gosia Iwan, Miranda Postma, Marije
Scholten, Rosanne Prins and Sharon Stoker-van Dijk for their help with patient inclusions, as
well as the collection of clinical data. We also thank Karin Plugge, Nico Akemann and
Marieke Alting Siberg for the MEG acquisitions.
Study funding
This study was supported by Amsterdam Neuroscience; 05 Amsterdam Neuroscience
Alliantieproject – ND 2016. The funding source had no involvement in the study design,
collection, analysis and interpretation of the data, writing of the report, and in the decision to
submit the article for publication.
Journal Pre-proof
23
Authors’ roles
Lennard I. Boon: Conceptualization, methodology, software, validation, formal analysis,
investigation, data curation, writing – original draft, writing – review and editing,
visualization, project administration.
Wouter V. Potters: Conceptualization, methodology, software, validation, formal analysis,
investigation, data curation, writing – review and editing, visualization, project
administration.
Thomas J.C. Zoon: Investigation, writing – review and editing.
Odile A. van den Heuvel: Conceptualization, validation, investigation, writing – review and
editing.
Naomi Prent: Software, validation, writing – review and editing.
Rob M.A. de Bie: Conceptualization, investigation, writing – review and editing.
Maarten Bot: Investigation, writing – review and editing.
P. Richard Schuurman: Conceptualization, validation, investigation, writing – review and
editing.
Pepijn van den Munckhof: Investigation, writing – review and editing.
Gert J. Geurtsen: Investigation, writing – review and editing.
Arjan Hillebrand: Conceptualization, methodology, software, validation, investigation,
writing – review and editing, visualization.
Cornelis J. Stam: Conceptualization, methodology, software, investigation, resources, writing
– review and editing.
Journal Pre-proof
24
Anne-Fleur van Rootselaar: Conceptualization, investigation, resources, writing – review and
editing, supervision, project administration, funding acquisition.
Henk W. Berendse: Conceptualization, investigation, resources, data curation, writing –
review and editing, supervision, project administration, funding acquisisition,
Journal Pre-proof
25
References
1. Benabid, A.L., et al., Deep brain stimulation of the corpus luysi (subthalamic nucleus) and
other targets in Parkinson's disease. Extension to new indications such as dystonia and
epilepsy. J Neurol, 2001. 248 Suppl 3: p. Iii37-47.
2. Deuschl, G., et al., A randomized trial of deep-brain stimulation for Parkinson's disease. N
Engl J Med, 2006. 355(9): p. 896-908.
3. Odekerken, V.J., et al., Subthalamic nucleus versus globus pallidus bilateral deep brain
stimulation for advanced Parkinson's disease (NSTAPS study): a randomised controlled trial.
Lancet Neurol, 2013. 12(1): p. 37-44.
4. Zoon, T.J., et al., Resolution of apathy after dorsal instead of ventral subthalamic deep brain
stimulation for Parkinson's disease. J Neurol, 2019. 266(5): p. 1267-1269.
5. Ulla, M., et al., Contact dependent reproducible hypomania induced by deep brain stimulation
in Parkinson's disease: clinical, anatomical and functional imaging study. J Neurol Neurosurg
Psychiatry, 2011. 82(6): p. 607-14.
6. Hatz, F., et al., Quantitative EEG and Verbal Fluency in DBS Patients: Comparison of
Stimulator-On and -Off Conditions. Front Neurol, 2018. 9: p. 1152.
7. Castrioto, A., et al., Mood and behavioural effects of subthalamic stimulation in Parkinson's
disease. The Lancet Neurology, 2014. 13(3): p. 287-305.
8. Higuchi, M.A., et al., Predictors of the emergence of apathy after bilateral stimulation of the
subthalamic nucleus in patients with Parkinson's disease. Neuromodulation, 2015. 18(2): p.
113-7.
9. Barone, P., et al., The PRIAMO study: A multicenter assessment of nonmotor symptoms and
their impact on quality of life in Parkinson's disease. Mov Disord, 2009. 24(11): p. 1641-9.
10. Thobois, S., et al., Non-motor dopamine withdrawal syndrome after surgery for Parkinson's
disease: predictors and underlying mesolimbic denervation. Brain, 2010. 133(Pt 4): p. 1111-
27.
11. Abbes, M., et al., Subthalamic stimulation and neuropsychiatric symptoms in Parkinson's
disease: results from a long-term follow-up cohort study. J Neurol Neurosurg Psychiatry,
2018. 89(8): p. 836-843.
12. Marin, R.S., Apathy: a neuropsychiatric syndrome. J Neuropsychiatry Clin Neurosci, 1991.
3(3): p. 243-54.
13. Czernecki, V., et al., Apathy following subthalamic stimulation in Parkinson disease: a
dopamine responsive symptom. Mov Disord, 2008. 23(7): p. 964-969.
14. Drapier, D., et al., Does subthalamic nucleus stimulation induce apathy in Parkinson's
disease? J Neurol, 2006. 253(8): p. 1083-91.
15. Le Jeune, F., et al., Subthalamic nucleus stimulation in Parkinson disease induces apathy: a
PET study. Neurology, 2009. 73(21): p. 1746-51.
16. Vachez, Y., et al., Subthalamic nucleus stimulation impairs motivation: Implication for apathy
in Parkinson's disease. Mov Disord, 2020.
17. Petry-Schmelzer, J.N., et al., Non-motor outcomes depend on location of neurostimulation in
Parkinson's disease. Brain, 2019. 142(11): p. 3592-3604.
18. Dafsari, H.S., et al., Non-motor outcomes of subthalamic stimulation in Parkinson's disease
depend on location of active contacts. Brain Stimul, 2018. 11(4): p. 904-912.
19. Huang, C., et al., Neuroimaging markers of motor and nonmotor features of Parkinson's
disease: an 18f fluorodeoxyglucose positron emission computed tomography study. Dement
Geriatr Cogn Disord, 2013. 35(3-4): p. 183-96.
20. Eckert, T., C. Tang, and D. Eidelberg, Assessment of the progression of Parkinson's disease: a
metabolic network approach. Lancet Neurol, 2007. 6(10): p. 926-32.
Journal Pre-proof
26
21. Pagonabarraga, J., et al., Apathy in Parkinson's disease: clinical features, neural substrates,
diagnosis, and treatment. Lancet Neurol, 2015. 14(5): p. 518-31.
22. Boon, L.I., et al., Motor effects of deep brain stimulation correlate with increased functional
connectivity in Parkinson's disease: An MEG study. Neuroimage Clin, 2020. 26: p. 102225.
23. Leentjens, A.F., et al., Apathy and anhedonia rating scales in Parkinson's disease: critique and
recommendations. Mov Disord, 2008. 23(14): p. 2004-14.
24. Starkstein, S.E., et al., Reliability, validity, and clinical correlates of apathy in Parkinson's
disease. J Neuropsychiatry Clin Neurosci, 1992. 4(2): p. 134-9.
25. Bech, P., M. Kastrup, and O.J. Rafaelsen, Mini-compendium of rating scales for states of
anxiety depression mania schizophrenia with corresponding DSM-III syndromes. Acta
Psychiatr Scand Suppl, 1986. 326: p. 1-37.
26. Taulu, S. and R. Hari, Removal of magnetoencephalographic artifacts with temporal signal-
space separation: demonstration with single-trial auditory-evoked responses. Hum Brain
Mapp, 2009. 30(5): p. 1524-34.
27. Taulu, S. and J. Simola, Spatiotemporal signal space separation method for rejecting nearby
interference in MEG measurements. Phys Med Biol, 2006. 51(7): p. 1759-68.
28. Whalen, C., et al., Validation of a method for coregistering scalp recording locations with 3D
structural MR images. Hum Brain Mapp, 2008. 29(11): p. 1288-301.
29. Gong, G., et al., Mapping anatomical connectivity patterns of human cerebral cortex using in
vivo diffusion tensor imaging tractography. Cereb Cortex, 2009. 19(3): p. 524-36.
30. Tzourio-Mazoyer, N., et al., Automated anatomical labeling of activations in SPM using a
macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage, 2002.
15(1): p. 273-89.
31. Hillebrand, A., et al., Direction of information flow in large-scale resting-state networks is
frequency-dependent. Proc Natl Acad Sci U S A, 2016. 113(14): p. 3867-72.
32. Hillebrand, A., et al., Frequency-dependent functional connectivity within resting-state
networks: an atlas-based MEG beamformer solution. Neuroimage, 2012. 59(4): p. 3909-3921.
33. Hillebrand, A., et al., Direction of information flow in large-scale resting-state networks is
frequency-dependent. Proceedings of the National Academy of Sciences, 2016. 113(14): p.
3867-3872.
34. Brookes, M.J., M.W. Woolrich, and G.R. Barnes, Measuring functional connectivity in MEG: a
multivariate approach insensitive to linear source leakage. Neuroimage, 2012. 63(2): p. 910-
20.
35. Hipp, J.F., et al., Large-scale cortical correlation structure of spontaneous oscillatory activity.
Nat Neurosci, 2012. 15(6): p. 884-90.
36. Horn, A. and A.A. Kuhn, Lead-DBS: a toolbox for deep brain stimulation electrode localizations
and visualizations. Neuroimage, 2015. 107: p. 127-135.
37. Avants, B., et al., Symmetric diffeomorphic image registration with cross-correlation:
evaluating automated labeling of elderly and neurodegenerative brain. Med Image Anal,
2008. 12: p. 26-41.
38. Ewert, S., et al., Toward defining deep brain stimulation targets in MNI space: A subcortical
atlas based on multimodal MRI, histology and structural connectivity. Neuroimage, 2018.
170: p. 271-282.
39. Pretus, C., et al., Ventromedial and dorsolateral prefrontal interactions underlie will to fight
and die for a cause. Social Cognitive and Affective Neuroscience, 2019. 14(6): p. 569-577.
40. Voruz, P., et al., Motor symptom asymmetry in Parkinson's disease predicts emotional
outcome following subthalamic nucleus deep brain stimulation. Neuropsychologia, 2020.
144: p. 107494.
41. Thobois, S., et al., STN stimulation alters pallidal-frontal coupling during response selection
under competition. J Cereb Blood Flow Metab, 2007. 27(6): p. 1173-84.
Journal Pre-proof
27
42. Alexander, G.E., M.D. Crutcher, and M.R. DeLong, Basal ganglia-thalamocortical circuits:
parallel substrates for motor, oculomotor, "prefrontal" and "limbic" functions. Prog Brain Res,
1990. 85: p. 119-46.
43. Haynes, W.I. and S.N. Haber, The organization of prefrontal-subthalamic inputs in primates
provides an anatomical substrate for both functional specificity and integration: implications
for Basal Ganglia models and deep brain stimulation. J Neurosci, 2013. 33(11): p. 4804-14.
44. Ricciardi, L., et al., Stimulation of the subthalamic area modulating movement and behavior.
Parkinsonism Relat Disord, 2014. 20(11): p. 1298-300.
45. Kirsch-Darrow, L., et al., The trajectory of apathy after deep brain stimulation: from pre-
surgery to 6 months post-surgery in Parkinson's disease. Parkinsonism Relat Disord, 2011.
17(3): p. 182-8.
46. Okun, M.S., et al., Acute and Chronic Mood and Apathy Outcomes from a randomized study
of unilateral STN and GPi DBS. PLoS One, 2014. 9(12): p. e114140.
47. Zaidel, A., et al., Subthalamic span of beta oscillations predicts deep brain stimulation efficacy
for patients with Parkinson's disease. Brain, 2010. 133(Pt 7): p. 2007-21.
48. Bot, M., et al., Defining the Dorsal STN Border Using 7.0-T MRI: A Comparison to
Microelectrode Recordings and Lower Field Strength MRI. Stereotact Funct Neurosurg, 2019.
97(3): p. 153-159.
49. Stefurak, T., et al., Deep brain stimulation for Parkinson's disease dissociates mood and motor
circuits: a functional MRI case study. Mov Disord, 2003. 18(12): p. 1508-16.
50. Irmen, F., et al., Left Prefrontal Connectivity Links Subthalamic Stimulation with Depressive
Symptoms. Ann Neurol, 2020.
51. Hirschmann, J., et al., Distinct oscillatory STN-cortical loops revealed by simultaneous MEG
and local field potential recordings in patients with Parkinson's disease. Neuroimage, 2011.
55(3): p. 1159-1168.
52. Hirschmann, J., et al., Differential modulation of STN-cortical and cortico-muscular coherence
by movement and levodopa in Parkinson's disease. Neuroimage, 2013. 68: p. 203-213.
53. Litvak, V., et al., Resting oscillatory cortico-subthalamic connectivity in patients with
Parkinson's disease. Brain, 2011. 134(Pt 2): p. 359-374.
54. Kelley, R., et al., A human prefrontal-subthalamic circuit for cognitive control. Brain, 2018.
141(1): p. 205-216.
55. Baláz, M., et al., The effect of cortical repetitive transcranial magnetic stimulation on
cognitive event-related potentials recorded in the subthalamic nucleus. Exp Brain Res, 2010.
203(2): p. 317-27.
56. Hillebrand, A., et al., Feasibility of clinical magnetoencephalography (MEG) functional
mapping in the presence of dental artefacts. Clin Neurophysiol, 2013. 124(1): p. 107-13.
57. Kandemir, A.L., V. Litvak, and E. Florin, The comparative performance of DBS artefact
rejection methods for MEG recordings. Neuroimage, 2020: p. 117057.
58. Schoffelen, J.M. and J. Gross, Source connectivity analysis with MEG and EEG. Human brain
mapping, 2009. 30(6): p. 1857-1865.
59. Carriere, N., et al., Apathy in Parkinson's disease is associated with nucleus accumbens
atrophy: a magnetic resonance imaging shape analysis. Mov Disord, 2014. 29(7): p. 897-903.
60. Lhommee, E., et al., Subthalamic stimulation in Parkinson's disease: restoring the balance of
motivated behaviours. Brain, 2012. 135(Pt 5): p. 1463-77.
61. Xia, M., J. Wang, and Y. He, BrainNet Viewer: a network visualization tool for human brain
connectomics. PLoS One, 2013. 8(7): p. e68910.
Journal Pre-proof
28
Figure legends
Figure 1 Stimulation locations of contact points in relation to change in apathy severity
A) Stimulation locations in MNI-space (viewed from respectively dorsolateral right,
anterior and dorsolateral left). The subthalamic nucleus (blue) and red nucleus (red)
were added for reference purposes. Increases in apathy severity are color-coded,
ranging from no increase (green/yellow) to strong increase (dark red).
MNI, Montreal Neurological Institute; R, right; L, left.
B) Stimulation locations were projected on a vector through the longitudinal axis of the
STN, where negative values indicated more ventromedial stimulation positions. There
was a significant correlation between stimulation position and increase in apathy
severity for the left side (r(24)= 0.498, p= 0.010), but not for the right side (r(24)=
0.141, p= 0.491).
Figure 2 Correlations between regional changes in functional connectivity (alpha1) and
change in apathy severity
A) Distribution of the bilateral cortical brain regions studied, the dlPFC (red), medORB
(blue) and antCC (green) displayed on a parcellated template brain viewed from, in
clockwise order, the left, top, right, left midline and right midline.
B) Scatter plots of pre-to-post-DBS change in apathy severity and alpha1 functional
connectivity change (DBS-ON – DBS-OFF), averaged for each of the three regions of
interest. Statistics can be found in Table 2.
Journal Pre-proof
29
dlPFC, dorsolateral prefrontral cortex; medORB, medial orbitofrontal cortex; antCC, anterior
cingulate cortex.
Figure 3 Functional connectivity changes induced by DBS for individual connections for
patients with weaker (<5; panel A) and with stronger (>5; panel B) increase in apathy
severity.
Distribution of alpha1 cAEC differences induced by DBS stimulation for each individual
connection linked to the dorsolateral prefrontal cortex (yellow nodes) for patients with weaker
(<5; panel A) and with stronger (>5; panel B) increase in apathy severity. Green nodes
represent brain regions, red (blue) connections represent a stimulation-related increase
(decrease) in functional connectivity. Top and bottom views of a template brain are
shown[61]. For visualization purposes, only links with an absolute t-value larger than 1.00 are
shown (arbitrary threshold for visualization purposes).
Journal Pre-proof
30
Table legends
Table 1 Patient characteristics
mA, milliampère; µs, microseconds; LEDD, Levodopa Equivalent Daily Dose; DA, dopamine
agonist; mg, milligrams; MDS-UPDRS-III, Movement Disorders Society Unified Parkinson’s
Disease Rating Scale motor ratings; DBS, Deep Brain Stimulation; M/F, male/female; L/R,
left/right; D/DM/VM, Dorsal/Dorsomedial/Ventromedial; Med, medication.
Table 2 Correlations of functional connectivity changes with change in apathy severity
Correlations between the changes in cAEC upon stimulation and increase in apathy severity
(Starkstein apathy scale) between baseline (pre-DBS) and follow-up (post-DBS). The
correlations are expressed as a Spearman’s rho. To account for the fact that three seed regions
were compared, alpha levels were adjusted such that p-values smaller than 0.05/3 (using
Bonferroni correction) were considered to be statistically significant, marked in bold.
cAEC, corrected Amplitude Envelope Correlation; DBS, deep brain stimulation.
Journal Pre-proof
Journal Pre-proof
Patient Age
(years)
Sex Disease
duration
(years)
Side disease
onset
Stimulation parameters
(stimulation side;
contact; intensity
(mA))
Pulse width and
frequency of
stimulation
LEDD pre-
DBS
(mg/day)
LEDD study
visit (post-DBS
(mg/day))
Motor UPDRS (III) Starkstein apathy score
Pre-DBS
Med off
Med off
/DBS-OFF
Med off
/DBS-ON
Pre-DBS
Post-DBS
(DBS-ON)
1 38 M 8 Right L; DM; 2.9
R; VM; 3.4
60 µs
179 Hz
Total:
1644
DA: 320
Total: 996
DA: 80
73 54 31 3 8
2 63 F 5 Right L; DM; 1.7
R; DM; 1.7
60 µs
130 Hz
Total: 495
DA: 150
Total: 567
DA: 315
43 16 11 2 3
3 65 F 27 Left L; VM; 2.7
R; DM; 1.5
60 µs
130 Hz
Total: 500
DA: -
Total: 400
DA: -
33 20 19 24 25
4 49 F 10 Left L; Dors; 1.9
R; Dors; 2.5
60 µs
130 Hz
Total: 797
DA: 240
Total: 536
DA: 120
35 37 22 12 20
5 69 M 12 Right L; DM; 2.1
R; DM; 2.1
60 µs
130 Hz
Total:
1830
DA: 360
Total: 150
DA: -
56 24 14 12 18
6 60 M 8 Left L; DM; 3.2
R; DM; 1.3
60 µs
179 Hz
Total:
1200
DA: 75
Total: 300
DA: -
57 65 38 4 19
Journal Pre-proof
7 53 M 11 Right L; DM; 2.9
R; DM; 1.9
60 µs
130 Hz
Total:
1567
DA: 240
Total: 1043
DA: 160
60 44 30 2 6
8 66 F 8 Left L; VM; 2.2
R; DM; 1.8
60 µs
130 Hz
Total:
1226
DA: 160
Total: 753
DA: 120
47 37 33 6 5
9 45 M 5 Left L; Dors; 1.7
R; DM; 1.7
60 µs
130 Hz
Total:
1410
DA: -
Total: 283
DA: -
50 80 44 14 19
10 70 F 25 Left L; DM; 2.1
R; DM; 2.4
60 µs
130 Hz
Total:
1590
DA: 450
Total: 555
DA: 37.5
46 33 15 4 12
11 66 M 10 Left L; DM; 2.5
R; DM; 1.8
60 µs
149 Hz
Total: 750
DA: -
Total: 575
DA: -
38 54 27 6 12
12 55 M 8 Right L; DM; 2.7
R; DM; 2.6
60 µs
130 Hz
Total: 950
DA: -
Total: 775
DA: -
42 31 15 5 15
13 57 M 11 Left L; VM; 1.6
R; VM; 1.6
60 µs
130 Hz
Total:
1134
DA: 320
Total: 606
DA: 80
38 21 7 0 12
Journal Pre-proof
14 61 M 7 Left L; VM; 1.5
R; VM; 2.1
60 µs
130 Hz
Total:
1000
DA: -
Total: 375
DA: -
30 27 11 3 16
15 60 M 14 Left L; DM; 2.0
R; VM; 2.5
60 µs
130 Hz
Total:
1073
DA: -
Total: 425
DA: -
55 27 7 6 14
16 57 M 12 Left L; VM; 3.1
R; VM; 2.3
60 µs
130 Hz
Total:
1380
DA: 480
Total: 720
DA: 120
80 52 26 4 9
17 61 M 8 Left L; DM; 1.8
R; DM; 2.3
60 µs
130 Hz
Total:
1726
DA: 360
Total: 946
DA: 80
56 52 21 3 11
18 56 M 12 Right L; DM; 1.4
R; VM; 1.3
60 µs
130 Hz
Total:
2131
DA: 240
Total: 1245
DA: 45
45 20 10 5 6
19 58 M 16 Left L; VM; 1.9
R; DM; 1.9
60 µs
130 Hz
Total:
2032
DA: 160
Total: 613
DA: 80
35 38 14 11 12
20 57 M 12 Left L; VM; 3.0 60 µs Total: Total: 533 38 51 33 8 11
Journal Pre-proof
R; VM; 3.2 130 Hz 1170
DA: 150
DA: -
21 71 F 17 Right L; VM; 1.8
R; VM; 1.7
60 µs
130 Hz
Total:
1940
DA: -
Total: 791
DA: -
56 59 42 3 9
22 57 F 14 Left L; DM; 1.7
R; DM; 2.0
60 µs
130 Hz
Total:
1080
DA: 480
Total: 660
DA: 160
50 40 21 5 12
23 54 F 6 Left L; DM; 2.2
R; DM; 2.4
60 µs
130 Hz
Total:
1600
DA: -
Total: 883
DA: -
71 69 44 6 4
24 55 M 12 Left L; VM; 2.9
R; DM; 2.9
60 µs
130 Hz
Total:
1344
DA: -
Total: 679
DA: -
30 50 17 0 1
25 64 M 22 Left L; DM; 3.7
R; DM; 3.2
60 µs
130 Hz
Total:
2100
DA: 150
Total: 780
DA: 150
59 59 39 13 27
26 48 M 6 Right L; DM; 2.0
R; DM; 1.7
60 µs
130 Hz
Total: 990
DA: 320
Total: 110
DA: 80
14 14 12 5 10
Journal Pre-proof
Mean
(SD)
58 (8) M, n=
18;
F, n= 8
12 (6) L; 2.3 (0.61)
R; 2.1 (0.58)
Total:
1369 (490)
Total: 627
(273)
47.6
(14.8)
41.3 (17.7) 23.2 (11.8) 6 (5) 12 (7)
Journal Pre-proof
Region Frequency band Spearman’s rho
Dorsolateral prefrontal cortex Delta 0.231 (p= 0.256)
Theta -0.261 (p= 0.290)
Alpha1
Alpha2
Beta
-0.520 (p= 0.006)
-0.393 (p= 0.047)
-0.241 (p= 0.235)
Medial orbitofrontal cortex Delta 0.044 (p= 0.829)
Theta -0.151 (p= 0.461)
Alpha1
Alpha2
Beta
-0.212 (p= 0.298)
-0.124 (p= 0.545)
-0.247 (p= 0.224)
Anterior cingulate cortex Delta -0.105 (p= 0.609)
Theta -0.110 (p= 0.593)
Alpha1
Alpha2
Beta
-0.282 (p= 0.163)
-0.108 (p= 0.599)
-0.243 (p= 0.231)
Journal Pre-proof
Journal Pre-proof
Journal Pre-proof
Journal Pre-proof
Journal Pre-proof
Journal Pre-proof
Apathy severity increases after deep brain stimulation (DBS) of the subthalamic
nucleus in Parkinson’s disease.
Post-DBS apathy does not correlate with dose reduction of dopaminergic medication.
Increased post-operative apathy scores correlate with stimulation position.
And with stimulation-induced changes in functional connectivity (MEG).
Apathy after DBS may be an effect of the stimulation itself.
Journal Pre-proof
... Magnetoencephalography (MEG) has been used for the in-vivo assessment of the modulatory effect of stimulation of the STN on neural networks involving both the cerebral cortex and subcortical brain regions. To date, this has only been studied in a DBS ON versus OFF design in which only one contact point (with clinically optimal effect) per hemisphere was stimulated (Boon, 2020;Abbasi et al., 2018;Luoma et al., 2018;Litvak, 2021;Cao et al., 2015;Boon et al., 2021). In our own studies, we have found that DBS, using the optimal contact point, led to a whole-brain acceleration of neuronal oscillations and to a suppression of absolute band power (delta to low-beta power) in the sensorimotor cortices (Boon, 2020). ...
... In our own studies, we have found that DBS, using the optimal contact point, led to a whole-brain acceleration of neuronal oscillations and to a suppression of absolute band power (delta to low-beta power) in the sensorimotor cortices (Boon, 2020). Furthermore, changes in functional connectivity correlated with improvement in motor function (Boon, 2020) and with the occurrence of the non-motor side effect apathy (Boon et al., 2021). Two studies from other research groups found a lowering effect of STN-DBS on alpha and low-beta band power in the sensorimotor cortices (Abbasi et al., 2018;Luoma et al., 2018). ...
... A different DBS stimulation setting was used for each trial with a 'wash-out' period of approximately one minute. The first and eleventh (last) recording were performed during bilateral stimulation using the standard DBS-settings of the individual patient (DBS-ON; results presented previously (Boon, 2020;Boon et al., 2021). In between, nine recordings took place in randomized order, eight of which consisted of unilateral stimulation using a single contact point, and one recording during DBS OFF (results previously presented (Boon, 2020;Boon et al., 2021). ...
Article
Full-text available
Background: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for disabling fluctuations in motor symptoms in Parkinson's disease (PD) patients. However, iterative exploration of all individual contact points (four in each STN) by the clinician for optimal clinical effects may take months. Objective: In this proof of concept study we explored whether magnetoencephalography (MEG) has the potential to noninvasively measure the effects of changing the active contact point of STN-DBS on spectral power and functional connectivity in PD patients, with the ultimate aim to aid in the process of selecting the optimal contact point, and perhaps reduce the time to achieve optimal stimulation settings. Methods: The study included 30 PD patients who had undergone bilateral DBS of the STN. MEG was recorded during stimulation of each of the eight contact points separately (four on each side). Each stimulation position was projected on a vector running through the longitudinal axis of the STN, leading to one scalar value indicating a more dorsolateral or ventromedial contact point position. Using linear mixed models, the stimulation positions were correlated with band-specific absolute spectral power and functional connectivity of i) the motor cortex ipsilateral tot the stimulated side, ii) the whole brain. Results: At group level, more dorsolateral stimulation was associated with lower low-beta absolute band power in the ipsilateral motor cortex (p = .019). More ventromedial stimulation was associated with higher whole-brain absolute delta (p = .001) and theta (p = .005) power, as well as higher whole-brain theta band functional connectivity (p = .040). At the level of the individual patient, switching the active contact point caused significant changes in spectral power, but the results were highly variable. Conclusions: We demonstrate for the first time that stimulation of the dorsolateral (motor) STN in PD patients is associated with lower low-beta power values in the motor cortex. Furthermore, our group-level data show that the location of the active contact point correlates with whole-brain brain activity and connectivity. As results in individual patients were quite variable, it remains unclear if MEG is useful in the selection of the optimal DBS contact point.
... Overall, these studies support the hypothesis of a prominent role of chronic stimulation of the STN in the occurrence of behavioral manifestations, but again with conflicting results. Some studies found a higher risk of postoperative apathy in the case of stimulation of either the motor or the limbic parts of the STN or the zona incerta (ZI), whereas others posited a psychostimulant effect and a higher risk of postoperative mania in the case of stimulation within the limbic part of the STN [136][137][138][139][140]. The latter results called into question the reality of a "motivational hotspot" in cases of stimulation of the limbic part of the subthalamic nucleus, comparable to the "motor hotspot" that has been suggested in the case of stimulation of the sensorimotor part of the STN [141]. ...
... Thus, the dysfunction of either motivation or cognitive control may lead to reduced GDBs, resulting in motivational and cognitive apathy, respectively (Figure 3) [47]. part of the STN [136][137][138][139][140]. The latter results called into question the reality of a "motivational hotspot" in cases of stimulation of the limbic part of the subthalamic nucleus, comparable to the "motor hotspot" that has been suggested in the case of stimulation of the sensorimotor part of the STN [141]. ...
Article
Full-text available
Apathy is commonly defined as a loss of motivation leading to a reduction in goal-directed behaviors. This multidimensional syndrome, which includes cognitive, emotional and behavioral components, is one of the most prevalent neuropsychiatric features of Parkinson’s disease (PD). It has been established that the prevalence of apathy increases as PD progresses. However, the pathophysiology and anatomic substrate of this syndrome remain unclear. Apathy seems to be underpinned by impaired anatomical structures that link the prefrontal cortex with the limbic system. It can be encountered in the prodromal stage of the disease and in fluctuating PD patients receiving bilateral chronic subthalamic nucleus stimulation. In these stages, apathy may be considered as a disorder of motivation that embodies amotivational behavioral syndrome, is underpinned by combined dopaminergic and serotonergic denervation and is dopa-responsive. In contrast, in advanced PD patients, apathy may be considered as cognitive apathy that announces cognitive decline and PD dementia, is underpinned by diffuse neurotransmitter system dysfunction and Lewy pathology spreading and is no longer dopa-responsive. In this review, we discuss the clinical patterns of apathy and their treatment, the neurobiological basis of apathy, the potential role of the anatomical structures involved and the pathways in motivational and cognitive apathy.
... For the improvement of akinesia and rigidity, a link between the positive effects of STN-DBS was found for a volume of activated tissue (VAT) with a centre of mass (sweetspot) located in the most posterior part of the STN [9,10], and a functional connectivity profile with negative correlations with sensorimotor cortices and positive correlations with specific frontal regions and motor cerebellum [11]. A correlation was also found for non-motor signs, including apathy or depression, and linked to an increase in the left prefrontal connectivity with VAT induced by STN-DBS [12,13]. In a large retrospective cohort study, we found that the sweet spot for improving FOG was located more anteriorly within the STN, roughly corresponding to its centre, just beyond the posterior sensorimotor part of the nucleus [4]. ...
Article
Introduction Subthalamic deep-brain-stimulation (STN-DBS) is an effective means to treat Parkinson's disease (PD) symptoms. Its benefit on gait disorders is variable, with freezing of gait (FOG) worsening in about 30% of cases. Here, we investigate the clinical and anatomical features that could explain post-operative FOG. Methods Gait and balance disorders were assessed in 19 patients, before and after STN-DBS using clinical scales and gait recordings. The location of active stimulation contacts were evaluated individually and the volumes of activated tissue (VAT) modelled for each hemisphere. We used a whole brain tractography template constructed from another PD cohort to assess the connectivity of each VAT within the 39 Brodmann cortical areas (BA) to search for correlations between postoperative PD disability and cortico-subthalamic connectivity. Results STN-DBS induced a 100% improvement to a 166% worsening in gait disorders, with a mean FOG decrease of 36%. We found two large cortical clusters for VAT connectivity: one “prefrontal”, mainly connected with BA 8,9,10,11 and 32, and one “sensorimotor”, mainly connected with BA 1-2-3,4 and 6. After surgery, FOG severity positively correlated with the right prefrontal VAT connectivity, and negatively with the right sensorimotor VAT connectivity. The right prefrontal VAT connectivity also tended to be positively correlated with the UPDRS-III score, and negatively with step length. The MDRS score positively correlated with the right sensorimotor VAT connectivity. Conclusion Recruiting right sensorimotor and avoiding right prefrontal cortico-subthalamic fibres with STN-DBS could explain reduced post-operative FOG, since gait is a complex locomotor program that necessitates accurate cognitive control.
... These findings may suggest greater vulnerability of RPD patients for developing apathy symptoms in the natural evolution of the disease and that DBS has the potential to restore mood disorders in this patient subtype. Previous results that showed an increase in apathy may have been biased by the presence of unequal proportions of LPD and RPD patients 45 . Future empirical and meta-analytic studies are needed, considering the motor symptom asymmetry. ...
Article
Full-text available
Risk factors for long-term non-motor symptoms and quality of life following subthalamic nucleus deep brain stimulation (STN DBS) have not yet been fully identified. In the present study, we investigated the impact of motor symptom asymmetry in Parkinson’s disease. Data were extracted for 52 patients with Parkinson’s disease (half with predominantly left-sided motor symptoms and half with predominantly right-sided ones) who underwent bilateral STN and a matched healthy control group. Performances for cognitive tests, apathy and depression symptoms, as well as quality-of-life questionnaires at 12 months post-DBS were compared with a pre-DBS baseline. Results indicated a deterioration in cognitive performance post-DBS in patients with predominantly left-sided motor symptoms. Performances of patients with predominantly right-sided motor symptoms were maintained, except for a verbal executive task. These differential effects had an impact on patients’ quality of life. The results highlight the existence of two distinct cognitive profiles of Parkinson’s disease, depending on motor symptom asymmetry. This asymmetry is a potential risk factor for non-motor adverse effects following STN DBS.
... Also, the STN serves as an important target for deep brain stimulation (DBS) treatment in advanced PD patients (DeLong & Wichmann, 2015;Guridi et al., 2018). Inappropriate placement of the DBS electrodes will cause multiple side effects, such as muscle contraction, akinesias, dizziness, and mood changes (Boon et al., 2020;Guehl et al., 2006). Precise preoperative imaging is mandatory in surgical planning to maximize therapeutic benefits and minimize side effects (Lang et al., 2006;T. ...
Article
Full-text available
Parkinson disease (PD) is a chronic progressive neurodegenerative disorder characterized pathologically by early loss of neuromelanin (NM) in the substantia nigra pars compacta (SNpc) and increased iron deposition in the substantia nigra (SN). Degeneration of the SN presents as a 50 to 70% loss of pigmented neurons in the ventral lateral tier of the SNpc at the onset of symptoms. Also, using magnetic resonance imaging (MRI), iron deposition and volume changes of the red nucleus (RN), and subthalamic nucleus (STN) have been reported to be associated with disease status and rate of progression. Further, the STN serves as an important target for deep brain stimulation treatment in advanced PD patients. Therefore, an accurate in‐vivo delineation of the SN, its subregions and other midbrain structures such as the RN and STN could be useful to better study iron and NM changes in PD. Our goal was to use an MRI template to create an automatic midbrain deep gray matter nuclei segmentation approach based on iron and NM contrast derived from a single, multiecho magnetization transfer contrast gradient echo (MTC‐GRE) imaging sequence. The short echo TE = 7.5 ms data from a 3D MTC‐GRE sequence was used to find the NM‐rich region, while the second echo TE = 15 ms was used to calculate the quantitative susceptibility map for 87 healthy subjects (mean age ± SD: 63.4 ± 6.2 years old, range: 45–81 years). From these data, we created both NM and iron templates and calculated the boundaries of each midbrain nucleus in template space, mapped these boundaries back to the original space and then fine‐tuned the boundaries in the original space using a dynamic programming algorithm to match the details of each individual's NM and iron features. A dual mapping approach was used to improve the performance of the morphological mapping of the midbrain of any given individual to the template space. A threshold approach was used in the NM‐rich region and susceptibility maps to optimize the DICE similarity coefficients and the volume ratios. The results for the NM of the SN as well as the iron containing SN, STN, and RN all indicate a strong agreement with manually drawn structures. The DICE similarity coefficients and volume ratios for these structures were 0.85, 0.87, 0.75, and 0.92 and 0.93, 0.95, 0.89, 1.05, respectively, before applying any threshold on the data. Using this fully automatic template‐based deep gray matter mapping approach, it is possible to accurately measure the tissue properties such as volumes, iron content, and NM content of the midbrain nuclei. Our goal was to use a magnetic resonance imaging (MRI) template to create an automatic midbrain deep gray matter nuclei segmentation approach based on iron and neuromelanin (NM) contrast derived from a single, multiecho magnetization transfer contrast gradient echo (MTC‐GRE) imaging sequence.
... Extending this focal concept toward circuit-level DBS, specific side-effect networks may be identified that should be avoided by DBS -for instance, such that have been associated with depressive symptoms in PD by Irmen et al. (2020), or with weight changes in patients receiving ALIC-DBS for treatment of OCD/addiction (Baldermann et al., 2019a). Similarly, networks associated with other symptoms, such as slurred speech, impulsivity , panic , apathy (Boon et al., 2021), aggression , dysesthesia, or pain (Cury et al., 2020) should be spared by DBS. ...
Article
Full-text available
At the group-level, deep brain stimulation leads to significant therapeutic benefit in a multitude of neurological and neuropsychiatric disorders. At the single-patient level, however, symptoms may sometimes persist despite “optimal” electrode placement at established treatment coordinates. This may be partly explained by limitations of disease-centric strategies that are unable to account for heterogeneous phenotypes and comorbidities observed in clinical practice. Instead, tailoring electrode placement and programming to individual patients’ symptom profiles may increase the fraction of top-responding patients. Here, we propose a three-step, circuit-based framework with the aim of developing patient-specific treatment targets that address the unique symptom constellation prevalent in each patient. First, we describe how a symptom network target library could be established by mapping beneficial or undesirable DBS effects to distinct circuits based on (retrospective) group-level data. Second, we suggest ways of matching the resulting symptom networks to circuits defined in the individual patient (template matching). Third, we introduce network blending as a strategy to calculate optimal stimulation targets and parameters by selecting and weighting a set of symptom-specific networks based on the symptom profile and subjective priorities of the individual patient. We integrate the approach with published literature and conclude by discussing limitations and future challenges.
... In a recent study, postoperative apathy occurred more frequently in patients with electrodes placed in the sensorimotor STN and its dorsal border zone to the zona incerta. 90 A pro-apathetic effect was attributed to STN-DBS based on correlative evidence in this study. As a limitation, there was no experimental stimulation intervention on apathy outcomes, which remains a source of insecurity when interpreting these findings. ...
Article
Full-text available
In Parkinson’s disease, both motor and neuropsychiatric complications unfold as consequence of both incremental striatal dopaminergic denervation and intensifying long-term dopaminergic treatment. Together, this leads to ‘dopaminergic sensitization’ steadily increasing motor and behavioral responses to dopaminergic medication that result in the detrimental sequalae of long-term dopaminergic treatment. We review the clinical presentations of ‘dopaminergic sensitization’, including rebound off and dyskinesia in the motor domain, and neuropsychiatric fluctuations and behavioral addictions with impulse control disorders and dopamine dysregulation syndrome in the neuropsychiatric domain. We summarize state-of-the-art deep brain stimulation, and show that STN-DBS allows dopaminergic medication to be tapered, thus supporting dopaminergic desensitization. In this framework, we develop our integrated debatable viewpoint of “changing gears”, i.e., we suggest rethinking earlier use of subthalamic nucleus deep brain stimulation, when the first clinical signs of dopaminergic motor or neuropsychiatric complications emerge over the steadily progressive disease course. In this sense, subthalamic deep brain stimulation may help reduce longitudinal motor and neuropsychiatric symptom expression – importantly, not by neuroprotection but by supporting dopaminergic desensitization through postoperative medication reduction. Therefore, we suggest considering STN-DBS early enough before patients encounter potentially irreversible psychosocial consequences of dopaminergic complications, but importantly not before a patient shows first clinical signs of dopaminergic complications. We propose to consider neuropsychiatric dopaminergic complications as a new inclusion criterion in addition to established motor criteria, but this concept will require validation in future clinical trials. This article is protected by copyright. All rights reserved.
Preprint
Full-text available
Risk factors for long-term non-motor disorders and quality of life following subthalamic nucleus deep-brain stimulation (STN DBS) have not yet been fully identified. In the present study, we investigated the impact of motor symptom asymmetry in Parkinson’s disease. Data were extracted for 52 patients with Parkinson’s disease (half with left-sided motor symptoms and half with right-sided ones) who underwent bilateral STN and a matched healthy control group. Performances for cognitive tests and neuropsychiatric and quality-of-life questionnaires at 12 months post-DBS were compared with a pre-DBS baseline. Results indicated a deterioration in cognitive performance post-DBS in patients with left-sided motor symptoms. Performances of patients with right-sided motor symptoms were maintained, except for a verbal executive task. These differential effects had an impact on patients’ quality of life. The results highlight the existence of two distinct cognitive profiles of Parkinson’s disease, depending on motor symptom asymmetry. This asymmetry is a potential risk factor for non-motor adverse effects following STN DBS.
Article
Full-text available
Deep brain stimulation (DBS) can be a very efficient treatment option for movement disorders and psychiatric diseases. To better understand DBS mechanisms, brain activity can be recorded using magnetoencephalography (MEG) with the stimulator turned on. However, DBS produces large artefacts compromising MEG data quality due to both the applied current and the movement of wires connecting the stimulator with the electrode. To filter out these artefacts, several methods to suppress the DBS artefact have been proposed in the literature. A comparative study evaluating each method’s effectiveness, however, is missing so far. In this study, we evaluate the performance of four artefact rejection methods on MEG data from phantom recordings with DBS acquired with an Elekta Neuromag and a CTF system: (i) Hampel-filter, (ii) spectral signal space projection (S3P), (iii) independent component analysis with mutual information (ICA-MI), and (iv) temporal signal space separation (tSSS). In the sensor space, the largest increase in signal-to-noise (SNR) ratio was achieved by ICA-MI, while the best correspondence in terms of source activations was obtained by tSSS. LCMV beamforming alone was not sufficient to suppress the DBS-induced artefacts.
Article
Full-text available
Objective Subthalamic nucleus deep brain stimulation (STN‐DBS) in Parkinson's Disease (PD) not only stimulates focal target structures but also affects distributed brain networks. The impact this network modulation has on non‐motor DBS effects is not well characterized. By focusing on the affective domain, we systematically investigate the impact of electrode placement and associated structural connectivity on changes in depressive symptoms following STN‐DBS which have been reported to improve, worsen or remain unchanged. Methods Depressive symptoms before and after STN‐DBS surgery were documented in 116 PD patients from three DBS centers (Berlin, Queensland, Cologne). Based on individual electrode reconstructions, the volumes of tissue activated (VTA) were estimated and combined with normative connectome data to identify structural connections passing through VTAs. Berlin and Queensland cohorts formed a training and cross‐validation dataset used to identify structural connectivity explaining change in depressive symptoms. The Cologne data served as test‐set for which depressive symptom change was predicted. Results Structural connectivity was linked to depressive symptom change under STN‐DBS. An optimal connectivity map trained on the Berlin cohort could predict changes in depressive symptoms in Queensland patients and vice versa. Furthermore, the joint training‐set map predicted changes in depressive symptoms in the independent test‐set. Worsening of depressive symptoms was associated with left prefrontal connectivity. Interpretation Fibers linking the STN electrode with left prefrontal areas predicted worsening of depressive symptoms. Our results suggest that for the left STN‐DBS lead, placement impacting fibers to left prefrontal areas should be avoided to maximize improvement of depressive symptoms. This article is protected by copyright. All rights reserved.
Article
Full-text available
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an established symptomatic treatment in Parkinson's disease, yet its mechanism of action is not fully understood. Locally in the STN, stimulation lowers beta band power, in parallel with symptom relief. Therefore, beta band oscillations are sometimes referred to as “anti-kinetic”. However, in recent studies functional interactions have been observed beyond the STN, which we hypothesized to reflect clinical effects of DBS.Resting-state, whole-brain magnetoencephalography (MEG) recordings and assessments on motor function were obtained in 18 Parkinson's disease patients with bilateral STN-DBS, on and off stimulation. For each brain region, we estimated source-space spectral power and functional connectivity with the rest of the brain.Stimulation led to an increase in average peak frequency and a suppression of absolute band power (delta to low-beta band) in the sensorimotor cortices. Significant changes (decreases and increases) in low-beta band functional connectivity were observed upon stimulation. Improvement in bradykinesia/rigidity was significantly related to increases in alpha2 and low-beta band functional connectivity (of sensorimotor regions, the cortex as a whole, and subcortical regions). By contrast, tremor improvement did not correlate with changes in functional connectivity.Our results highlight the distributed effects of DBS on the resting-state brain and suggest that DBS-related improvements in rigidity and bradykinesia, but not tremor, may be mediated by an increase in alpha2 and low-beta functional connectivity. Beyond the local effects of DBS in and around the STN, functional connectivity changes in these frequency bands might therefore be considered as “pro-kinetic”. Keywords: Parkinson's disease, Magnetoencephalography, Deep brain stimulation, Motor symptoms, Resting-state
Article
Full-text available
Deep brain stimulation of the subthalamic nucleus is an effective and established therapy for patients with advanced Parkinson's disease improving quality of life, motor symptoms and non-motor symptoms. However, there is a considerable degree of interindividual variability for these outcomes, likely due to variability in electrode placement and stimulation settings. Here, we present probabilistic mapping data from a prospective, open-label, multicentre, international study to investigate the influence of the location of subthalamic nucleus deep brain stimulation on non-motor symptoms in patients with Parkinson's disease. A total of 91 Parkinson's disease patients undergoing bilateral deep brain stimulation of the subthalamic nucleus were included, and we investigated NMSScale, NMSQuestionnaire, Scales for Outcomes in Parkinson's disease-motor examination, -activities of daily living, and -motor complications, and Parkinson's disease Questionnaire-8 preoperatively and at 6-month follow-up after surgery. Leads were localized in standard space using the Lead-DBS toolbox and individual volumes of tissue activated were calculated based on clinical stimulation settings. Probabilistic stimulation maps and non-parametric permutation statistics were applied to identify voxels with significant above or below average improvement for each scale and analysed using the DISTAL atlas. All outcomes improved significantly at follow-up. Significant spatial distribution patterns of neurostimulation were observed for NMSScale total score and its mood/apathy and attention/memory domains. For both domains, voxels associated with below average improvement were mainly located dorsal to the subthalamic nucleus. In contrast, above average improvement for mood/apathy was observed in the ventral border region of the subthalamic nucleus and in its sensorimotor subregion and for attention/memory in the associative subregion. A trend was observed for NMSScale sleep domain showing voxels with above average improvement located ventral to the subthalamic nucleus. Our study provides evidence that the interindividual variability of mood/apathy, attention/memory, and sleep outcomes after subthalamic nucleus deep brain stimulation depends on the location of neurostimulation. This study highlights the importance of holistic assessments of motor and non-motor aspects of Parkinson's disease to tailor surgical targeting and stimulation parameter settings to patients' personal profiles.
Article
Full-text available
Background: 7.0-T T2-weighted MRI offers excellent visibility of the subthalamic nucleus (STN), which is used as a target for deep brain stimulation (DBS) in Parkinson's disease (PD). A comparison of 7.0-T MRI to microelectrode recordings (MER) for STN border identification has not been performed. Objective: To compare representation of STN borders on 7.0-T T2 MRI with the borders identified during MER in patients undergoing DBS for PD and to evaluate whether STN identification on 7.0-T T2 MRI leads to alterations in stereotactic target planning. Design/methods: STN border identification was done using volumetric 7.0-T T2 MRI acquisitions. This was compared to the STN borders identified by MER. STN target planning was independently performed by 3 DBS surgeons on T2 imaging using 1.5-, 3.0-, and 7.0-T MRI. Results: A total of 102 microelectrode tracks were evaluated in 19 patients. Identification of the dorsal STN border was well feasible on 7-T T2, whereas the ventral STN was un-distinguishable from the substantia nigra. The dorsal STN border on MRI was located more dorsal than MER in 73% of trajectories. The average distance from MRI to MER border was 0.9 mm (range -4.4 to +3.5 mm). STN target planning showed high correspondence between the 3 field strengths. Conclusion: 7.0-T T2 MRI offers the possibility of easy identification of the dorsal border of the STN. However, higher field strength MRI does not change the planning of the target. Compared to MER, the dorsal border on MRI was located more dorsal in the majority of cases, situating MER activity within STN representation.
Article
Full-text available
Willingness to fight and die (WFD) has been developed as a measure to capture willingness to incur costly sacrifices for the sake of a greater cause in the context of entrenched conflict. WFD measures have been repeatedly used in field studies, including studies on the battlefield, although their neurofunctional correlates remain unexplored. Our aim was to identify the neural underpinnings of WFD, focusing on neural activity and interconnectivity of brain areas previously associated with value-based decision-making, such as the ventromedial and the dorsolateral prefrontal cortex. A sample of Pakistani participants supporting the Kashmiri cause was selected and invited to participate in an fMRI paradigm where they were asked to convey their willingness to fight and die for a series of values related to Islam and current politics. As predicted, higher compared to lower WFD was associated with increased ventromedial prefrontal activity and decreased dorsolateral activity, as well as lower connectivity between the ventromedial and the dorsolateral prefrontal cortex. Our findings suggest that WFD more prominently relies on brain areas typically associated with subjective value (vmPFC) rather than integration of material costs (dlPFC) during decision-making, supporting the notion that decisions on costly sacrifices may not be mediated by cost-benefit computation.
Article
Full-text available
Introduction: Deep brain stimulation of the subthalamic nucleus (STN-DBS) ameliorates motor function in patients with Parkinson's disease and allows reducing dopaminergic therapy. Beside effects on motor function STN-DBS influences many non-motor symptoms, among which decline of verbal fluency test performance is most consistently reported. The surgical procedure itself is the likely cause of this decline, while the influence of the electrical stimulation is still controversial. STN-DBS also produces widespread changes of cortical activity as visualized by quantitative EEG. The present study aims to link an alteration in verbal fluency performance by electrical stimulation of the STN to alterations in quantitative EEG. Methods: Sixteen patients with STN-DBS were included. All patients had a high density EEG recording (256 channels) while testing verbal fluency in the stimulator on/off situation. The phonemic, semantic, alternating phonemic and semantic fluency was tested (Regensburger Wortflüssigkeits-Test). Results: On the group level, stimulation of STN did not alter verbal fluency performance. EEG frequency analysis showed an increase of relative alpha2 (10–13 Hz) and beta (13–30 Hz) power in the parieto-occipital region (p ≤ 0.01). On the individual level, changes of verbal fluency induced by stimulation of the STN were disparate and correlated inversely with delta power in the left temporal lobe (p < 0.05). Conclusion: STN stimulation does not alter verbal fluency performance in a systematic way at group level. However, when in individual patients an alteration of verbal fluency performance is produced by electrical stimulation of the STN, it correlates inversely with left temporal delta power.
Article
The objective of this study was to explore the brain modifications associated with vocal emotion (i.e., emotional prosody) processing deficits in patients with Parkinson’s disease after deep brain stimulation of the subthalamic nucleus, and the impact of motor asymmetry on these deficits. We therefore conducted 18-fluorodeoxyglucose positron emission tomography scans of 29 patients with left- or right-sided motor symptoms of Parkinson’s disease before and after surgery, and correlated changes in their glucose metabolism with modified performances on the recognition of emotional prosody. Results were also compared with those of a matched healthy control group. Patients with more left-sided motor symptoms exhibited a deficit in vocal emotion recognition for neutral, anger, happiness and sadness in the preoperative condition that was normalized postoperatively. Patients with more right-sided motor symptoms performed comparably to controls in the preoperative condition, but differed significantly on fear postoperatively. At the metabolic level, the improvement observed among patients with left-sided motor symptoms was correlated with metabolic modifications in a right-lateralized network known to be involved in emotional prosody, while the behavioral worsening observed among patients with right-sided motor symptoms was correlated with metabolic modifications in the left parahippocampal gyrus and right cerebellum. We suggest that surgery has a differential impact on emotional processing according to motor symptom lateralization, and interpret these results as reflecting the (de)synchronization of the limbic loop in the postoperative condition.
Article
Background: Apathy is one of the most disabling neuropsychiatric symptoms in Parkinson's disease (PD) patients and has a higher prevalence in patients under subthalamic nucleus deep brain stimulation. Indeed, despite its effectiveness for alleviating PD motor symptoms, its neuropsychiatric repercussions have not yet been fully uncovered. Because it can be alleviated by dopaminergic therapies, especially D2 and D3 dopaminergic receptor agonists, the commonest explanation proposed for apathy after subthalamic nucleus deep brain stimulation is a too-strong reduction in dopaminergic treatments. The objective of this study was to determine whether subthalamic nucleus deep brain stimulation can induce apathetic behaviors, which remains an important matter of concern. We aimed to unambiguously address this question of the motivational effects of chronic subthalamic nucleus deep brain stimulation. Methods: We longitudinally assessed the motivational effects of chronic subthalamic nucleus deep brain stimulation by using innovative wireless microstimulators, allowing continuous stimulation of the subthalamic nucleus in freely moving rats and a pharmacological therapeutic approach. Results: We showed for the first time that subthalamic nucleus deep brain stimulation induces a motivational deficit in naive rats and intensifies those existing in a rodent model of PD neuropsychiatric symptoms. As reported from clinical studies, this loss of motivation was fully reversed by chronic treatment with pramipexole, a D2 and D3 dopaminergic receptor agonist. Conclusions: Taken together, these data provide experimental evidence that chronic subthalamic nucleus deep brain stimulation by itself can induce loss of motivation, reminiscent of apathy, independently of the dopaminergic neurodegenerative process or reduction in dopamine replacement therapy, presumably reflecting a dopaminergic-driven deficit. Therefore, our data help to clarify and reconcile conflicting clinical observations by highlighting some of the mechanisms of the neuropsychiatric side effects induced by chronic subthalamic nucleus deep brain stimulation. © 2020 International Parkinson and Movement Disorder Society.