Access to this full-text is provided by Frontiers.
Content available from Frontiers in Psychiatry
This content is subject to copyright.
May 2016 | Volume 7 | Article 811
ORIGINAL RESEARCH
published: 10 May 2016
doi: 10.3389/fpsyt.2016.00081
Frontiers in Psychiatry | www.frontiersin.org
Edited by:
Kirsten R. Müller-Vahl,
Hannover Medical School, Hannover,
Germany
Reviewed by:
Katja Biermann-Ruben,
Institute of Clinical Neuroscience and
Medical Psychology, Germany
Joseph Mcguire,
UCLA, USA
*Correspondence:
Marc E. Lavoie
marc.lavoie@umontreal.ca
Specialty section:
This article was submitted to Child
and Adolescent Psychiatry,
a section of the journal
Frontiers in Psychiatry
Received: 26February2016
Accepted: 25April2016
Published: 10May2016
Citation:
Morand-BeaulieuS, O’ConnorKP,
RichardM, SauvéG, LeclercJB,
BlanchetPJ and LavoieME (2016)
The Impact of a Cognitive–Behavioral
Therapy on Event-Related Potentials
in Patients with Tic Disorders or
Body-Focused Repetitive Behaviors.
Front. Psychiatry 7:81.
doi: 10.3389/fpsyt.2016.00081
The Impact of a Cognitive–Behavioral
Therapy on Event-Related Potentials
in Patients with Tic Disorders or
Body-Focused Repetitive Behaviors
Simon Morand-Beaulieu1,2,3, Kieron P. O’Connor
2,4, Maxime Richard1,2,3,
Geneviève Sauvé1,2, Julie B. Leclerc
2,5, Pierre J. Blanchet
2,6 and Marc E. Lavoie1,2,4*
1 Laboratoire de psychophysiologie cognitive et sociale, Montreal, QC, Canada, 2 Centre de recherche de l’Institut
universitaire en santé mentale de Montréal, Montreal, QC, Canada, 3 Département de neurosciences, Faculté de médecine,
Université de Montréal, Montreal, QC, Canada, 4 Département de psychiatrie, Faculté de médecine, Université de Montréal,
Montreal, QC, Canada, 5 Département de psychologie, Faculté des sciences humaines, Université du Québec à Montréal,
Montreal, QC, Canada, 6 Département de stomatologie, Faculté de médecine dentaire, Université de Montréal, Montreal,
QC, Canada
Context: Tic disorders (TD) are characterized by the presence of non-voluntary con-
tractions of functionally related groups of skeletal muscles in one or multiple body parts.
Patients with body-focused repetitive behaviors (BFRB) present frequent and repetitive
behaviors, such as nail biting or hair pulling. TD and BFRB can be treated with a cogni-
tive–behavioral therapy (CBT) that regulates the excessive amount of sensorimotor acti-
vation and muscular tension. Our CBT, which is called the cognitive–psychophysiological
(CoPs) model, targets motor execution and inhibition, and it was reported to modify brain
activity in TD. However, psychophysiological effects of therapy are still poorly understood
in TD and BFRB patients. Our goals were to compare the event-related potentials (ERP)
of TD and BFRB patients to control participants and to investigate the effects of the CoPs
therapy on the P200, N200, and P300 components during a motor and a non-motor
oddball task.
Method: Event-related potential components were compared in 26 TD patients, 27
BFRB patients, and 27 control participants. ERP were obtained from 63 EEG electrodes
during two oddball tasks. In the non-motor task, participants had to count rare stimuli.
In the motor task, participants had to respond with a left and right button press for rare
and frequent stimuli, respectively. ERP measures were recorded before and after therapy
in both patient groups.
Results: CoPs therapy improved symptoms similarly in both clinical groups. Before
therapy, TD and BFRB patients had reduced P300 oddball effect during the non-motor
task, in comparison with controls participants. An increase in the P300 oddball effect
was observed posttherapy. This increase was distributed over the whole cortex in BFRB
patients, but localized in the parietal area in TD patients.
2
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
INTRODUCTION
Tic disorders (TD) are characterized by repetitive non-voluntary
contractions of functionally related groups of skeletal muscles
in one or more parts of the body, including blinking, cheek
twitches, and head or knee jerks among others. Tics can also
be more complex and take the form of self-inicted repetitive
actions, such as teeth grinding, head slapping, or tense-release
hand gripping cycles. ey also appear as more purposive and
stereotyped movements of longer duration, such as facial gestures
and grooming-like movements. Furthermore, tics can be vocal,
and they range from simple sounds, such as sning, coughing,
or barking, to more complex vocalizations, such as echolalia or
coprolalia. e tics may wax and wane over the course of weeks,
months, and years. ey can appear in bouts many times a day
with onset longer than a year and arise prior to 18years old with
a peak in symptoms intensity around 12years old. Tourette syn-
drome, which is the best known TD, involves multiple motor tics
and at least one vocal tic. In comparison, persistent TD implies
either motor or phonic tics, but not both. Tourette syndrome and
persistent TD patients are oen pooled together as a sole group,
and the need for a distinction between both has been debated,
since phonic tics have an inherent motor component (1).
Recent brain imaging investigations have revealed impair-
ment in cortico-striato-thalamo-cortical (CSTC) pathways,
which assure the communication between the basal ganglia
andthe motor cortex (2–4). At the cortical level, the overactivity
of the supplementary motor area (SMA) was also observed in
TD. e SMA is an important structure related, in large part, to
the generation of tics and also to sensory urges (5, 6). Consistent
with these ndings, gray matter thinning was also found within
the SMA, and this was also correlated to the severity of tics (7)
and premonitory urges (8).
e large majority of patients with TD also face various
comorbidities (9), which include obsessive–compulsive disorder
(OCD) or at least some obsessive–compulsive symptoms (OCS),
attention-decit hyperactivity disorder (ADHD), depression,
and anxiety disorders. Another pathology oen associated with
TD is body-focused repetitive behaviors (BFRB), also known
as habit disorder. BFRB represent a clinical term that includes
various diagnoses, such as trichotillomania, skin picking, and
onychophagia. Despite the heterogeneity of symptoms comprised
of the BFRB category, their main symptoms are directed toward
the body, in reaction to feelings of discomfort, which is oen
present in TD. In the DSM-IV-TR, trichotillomania was catego-
rized as an impulse control disorder, not elsewhere classied,
and was associated with skin picking and onychophagia (10).
In the DSM-V, trichotillomania and skin picking are now clas-
sied within the obsessive–compulsive and related disorders
category, while onychophagia and dermatophagia are mentioned
as “other specied obsessive–compulsive and related disorders.”
Despite the fact that these disorders have been relocated to the
obsessive–compulsive category, impulse control and feeling of
sensory discomfort remain an important communality of their
prole. is incapacity to resist a specic impulse or urge is a
characteristic shared with TD patients. Both groups also show
heightened levels of sensorimotor activation (11–13). However,
even though BFRB resemble to TD in certain ways and these two
disorders sometimes co-occur with one another, it must be noted
that are dierent diagnoses.
ere is a clear benet in distinguishing between TD and
BFRB, for the reason that the relationship between these two
entities is sometimes clinically unclear, because the presence of
complex movements in BFRB can oen be confounded with com-
plex tics. We propose that a reasonable method of dierentiating
these two groups would be to compare directly their brain activity
during the performance of contrasting tasks with dierent levels
of motor demand. For instance, O’Connor etal. (14) reported that
TD and BFRB patients both failed to adequately adjust their hand
responses to automated or controlled movements. More precisely,
TD patients had the most severe impairment in synchronizing
motor-related brain activity with their actual response time, fol-
lowed by the BFRB and the control groups. ese ndings give
support to a dimensional model of classication with BFRB falling
between TD and controls along a continuum of motor arousal.
Recent brain imaging investigations on trichotillomania sug-
gest that BFRB could share common impaired neural networks
with TD, aecting mainly motor processing. For instance,
increased gray matter density in the le striatum, the le amygda-
lohippocampal formation, the cingulate gyrus, the SMA, and the
frontal cortex was found in trichotillomania (15). Furthermore,
BFRB patients with trichotillomania or skin picking as their main
habit have less fractional anisotropy in the anterior cingulate
and temporal areas, which indicate a lower ber density, axonal
diameter, and myelination in white matter tracts involved in
motor habits generation and suppression (16, 17). Additional
circuits seem aected in unmedicated TD, where engagement in
habit formation behavior correlated with greater connectivity of
motor structures in the right hemisphere and stronger structural
connectivity between the SMA and the putamen, which predicted
more severe tics (18). All in all, aberrant reinforcement signals
to the sensorimotor cortex and the striatum might be crucial for
habit formation and tic generation as well. ese areas are all
known to be involved in cognition and habit learning and could
Discussion: These results suggest a modication of neural processes following CoPs
therapy in TD and BFRB patients. CoPs therapy seems to impact patients’ attentional
processes and context updating capacities in working memory (i.e., P300 component).
Our results are consistent with a possible role of the prefrontal cortex and corpus callo-
sum in mediating interhemispheric interference in TD.
Keywords: Tourette syndrome, tic disorders, body-focused repetitive behaviors, habit disorder, cognitive–
behavioral therapy, cognitive–psychophysiological therapy, event-related potentials, electrophysiology
3
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
contribute to the development of pathological habits, but more
research are needed to incorporate other types of impulse control
disorders.
Another good reason to characterize TD and BFRB is mainly
related to their response to treatment. Currently, cognitive–
behavioral therapy (CBT) constitutes an eective line of treat-
ment for adults with both TD (19, 20) and BFRB (21–24), but
the cognitive–behavioral and physiological outcomes are not
well understood. e therapy proposed by our group is based
on the cognitive–psychophysiological (CoPs) model and aims at
regulating the high level of sensorimotor activation present in
these populations and preventing the build-up of tension that
leads to tic bursts or to the compulsive habit related to BFRB
(12, 25, 26). Its eectiveness in treating adults aected by either
disorder has been demonstrated many times (26–28). e posi-
tive eects of the CoPs therapy in TD patients are also reected at
the cerebral level. is was rst reported with a TD group, which
showed reduced electrocortical activity related to the inhibition
of automatic motor responses. It was shown that the motor-
related brain response during automatic inhibition, normalized
following successful CoPs therapy (29). ese results are also
consistent with fMRI recordings during a motor inhibition task,
which found a signicant decrease in putamen activation aer
cognitive–behavioral treatment in adult TD (30). More recently,
the CoPs therapy induced a reduction of the lateralized readiness
potentials, a brain electrical potential partly generated by the
SMA and the basal ganglia (13). us, these results are strongly
consistent with the cortical–striatal and basal ganglia impairment
hypothesis in TD. More importantly, these results showed that
psychological treatments have the potential to induce changes in
behavior and cognitive processes that are followed by modica-
tion of brain activity. e next question to explore is the cerebral
impact of therapy in the BFRB.
One eective way to follow various levels of cognitive and
electrocortical activity within milliseconds accuracy is the use
of event-related potentials (ERPs). us, we specically aimed at
the investigation of three ERP components, the P200, the N200,
and the P300 recorded at pre- and posttherapy. e P200 is a
component that indexes evaluation of stimulus salience and its
task-related adequacy (31, 32). e N200 indexes target detec-
tion and conict monitoring (33), whereas the P300 is related to
stimulus evaluation and context updating in working memory
(34). To the best of our knowledge, no study has, so far, investi-
gated the ERPs in BFRB patients, although several have studied
TD patients (35–42). us, our rst goal is to compare specic
ERP components in TD and BFRB patients before any treatment.
Our second aim is to focus on cerebral changes that accompany
behavioral and cognitive modication, aer CoPs therapy. We
expect an improvement in tics and habits symptoms in TD and
BFRB patients, respectively. e main hypothesis predicts that
TD and BFRB patients will show intact early evaluation of sali-
ence as reected by the P200 (31, 32), while showing larger target
detection and conict monitoring as indexed by a larger N200
(33), which is consistent with earlier clinical ndings with TD
reporting an intact P200 amplitude (42), and larger N200 ampli-
tude (39). Finally, we hypothesize a reduced P300 oddball eect
in our clinical groups, which was also consistently found in TD
patients with OCS (42), with OCD (43–46), and without comor-
bidity (39, 47). Such reduced P300 would indicate a decrease in
memory updating processes (34) in both disorders. We propose
to contrast ERPs across motor and non-motor oddball tasks,
which will ascribe the contribution of motor responses. Earlier
studies involving healthy participants with the counting and the
motor oddball task showed activation of the SMA, the cerebel-
lum, the thalamus, and the parietal cortex. However, activation
of the middle frontal gyrus central opercular cortex and parietal
operculum was specic to the motor oddball task, suggesting a
specic contribution of these regions in action execution (48).
Finally, we hypothesize an equivalent normalization of the P300
in both patient groups aer treatment.
MATERIALS AND METHODS
Participants
Patients with either TD or BFRB were recruited from the Centre
d’études sur les troubles obsessionnels-compulsifs et les tics from the
Centre de recherche de l’Institut universitaire en santé mentale de
Montréal to participate in this study. Patients with TD as their
main concern were assigned to the TD group. erefore, the TD
group was composed of 26 patients who met the DSM-IV-TR
criteria for either Tourette syndrome (307.23) or chronic TD
(307.22) (10). Patients with BFRB as their main concern were
assigned to the BFRB group. e latter group was composed of
27 patients with specic habit disorders, such as trichotillomania
(n=12), onychophagia (n=8), skin picking (n=5), and bruxism
(n=2). ese two patients’ groups were matched to a group of
27 healthy controls on the basis of age, intelligence (Raven), and
laterality.1 e project was approved by the ethics committee of
the Centre de recherche de l’Institut universitaire en santé mentale
de Montréal, and all participants granted their written informed
consent, in accordance with the Declaration of Helsinki. Seven
TD patients and four BFRB patients were under medication
during the study. ose medication were α2-adrenergic agonists
(n=1), β2-adrenergic agonists (n=1), antidepressants (n=7),
benzodiazepine (n=3), non-benzodiazepine (n=1) hypnotics,
neuroleptics (n=2), and lithium (n=1). However, to be included
in our study, their medication had to remain stable throughout
the entire process. Socio-demographic characteristics of our
participants can be found in Table1.
Exclusion criteria consisted of the presence of a psychiatric
diagnosis, such as schizophrenia, mood disorders, somatoform
disorders, dissociative disorders, and substance-related dis orders.
e presence of personality disorders was screened with the
personality diagnostic questionnaire-fourth edition (49–51), and
participants with personality disorders were excluded. Other
medical conditions, such as neurological diseases, were screened
by a neurologist (Pierre J. Blanchet) and were also a criterion for
exclusion.
1 Twenty of the 26 TS patients and 19 of the 27 controls included in this study
werealso included in one of our previous study, but with a dierent experimental
task (13).
TABLE 1 | Socio-demographic and clinical characteristics.
TD (n=26) BFRB (n=27) Controls (n=27)
Mean SD Mean SD Mean SD F p Group difference
Age 38 11.9 40 14.4 36 13.0 0.48 ns
Sex (% of males) 65% N/A 26% N/A 41% N/A 4.60*<0.05 TD>BFRB
Intelligence (percentiles) 88 13.8 80 17.2 84 17.1 1.49 ns
Laterality (R:L:A) 24:2:0 N/A 24:3:0 N/A 25:0:3 N/A 5.42ans
OCS (Padua) 32 32.1 35 25.8 17 15.6 4.14*<0.05 BFRB>controls
Depression (BDI) 11 10.2 14 7.8 3 3.8 15.70*** <0.001 TD and BFRB>controls
Anxiety (BAI) 8 5.9 11 6.6 5 4.6 7.19** <0.01 BFRB>controls
Impulsivity (BIS-10)b71 8.8 72 7.9 64 8.7 5.82** <0.01 TD and BFRB>controls
Laterality: R, right-handed; L, left-handed; A, ambidextrous. Intelligence: Raven’s matrices percentiles; OCS, obsessive–compulsive symptoms; BDI, Beck depression inventory; BAI,
Beck anxiety inventory; BIS-10, Barratt impulsiveness scale; ns, not statistically signicant.
*p<0.05.
**p<0.01.
***p<0.001.
aFisher’s exact test was used to analyze categorical data with cells containing an expected count below 5.
bOne TD patient and eight controls with missing data.
Every signicant result is in bold.
4
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
Procedures
Clinical Assessment
Patients underwent a battery of psychological tests to assess
symptoms. e Tourette Syndrome Global Scale [TSGS (52)]
and the Yale Global Tic Severity Scale [YGTSS (53)] were used
to assess tics symptoms in TD patients. We adapted the TSGS
and the YGTSS to assess the presence of habit disorders in the
BFRB group. In these adapted versions of both questionnaires,
the word “tic” was replaced by the word “habit.” ese question-
naires were adapted to quantify both tics and habits on the same
metric uniformly. is adaptation has been validated in a prior
research from our group (54).
We also used the Massachusetts General Hospital Hair Pulling
Scale [MGH-HPS (55)] to assess BFRB severity. e MGH-HPS
is a seven-point inventory measuring the severity of trichotillo-
mania symptoms. Again, an adaptation of this scale was pro-
posed to assess onychophagia, skin picking, and skin scratching.
erefore, the current data reported in the MGH-scale column
reected the severity score of the principal habit of each BFRB
patient. Good convergent validity was found between TSGS and
MGH scales, as prior research found correlations between TSGS
tic scores and the MGH-HPS (r=0.49, p<0.05), as well as the
MGH scales adapted for nail biting and skin picking (r=0.52,
p<0.05) (54).
Obsessive–compulsive symptoms were assessed with the Padua
inventory (56). e 10th version of the Barratt Impulsiveness
Scale (BIS-10) was administered to assess impulsivity in our
participants (57). e Beck anxiety inventory [BAI (58)] and the
Beck depression inventory [BDI (59)] were used to assess anxiety
and depression symptomatology, respectively. e occurrence of
anxiety disorders was assessed by a structured interview with the
anxiety disorders interview schedule (60). Severe psychological
stressors, time availability, and other psychological problems
were also screened.
Cognitive–Behavioral Therapy Based on the
Cognitive–Psychophysiological Model
e two clinical groups, which are composed of 26 patients with
TD and 27 patients with BFRB, underwent the same CBT, based
on the cognitive–psychophysiological (CoPs) model (12). is
treatment, while including some classic principles of symptom
awareness and habit reversal therapy, focuses on cognitive and
behavioral restructuration insituations presenting a high risk for
tic bouts. e therapy was delivered by two licensed psychologist
(supervised by Kieron P. O’Connor) on a weekly one-to-one basis.
e treatment program includes basic clinical steps, which are
cumulative and administered over 14 60-min sessions: awareness
training (psychoeducation, daily diary, video, situational prole),
muscle discrimination (gradation of tension, normalize contrac-
tions), muscular relaxation, reducing sensorimotor activation,
modifying background style of action, cognitive and behavioral
restructuring (development of alternative goal driven responses
using cognitive and behavioral strategies), generalization, and
preventing relapse.2 At the end of the 14th week, there is a home-
based practice period lasting 4weeks with weekly phone contact
with the therapist to ensure compliance and deal with trouble
shooting. erefore, there was a time lapse of 18weeks between
the beginning of the program and the posttreatment evaluation.
Conditions of treatment delivery, duration, homework, and treat-
ment monitoring were equivalent and supervised for integrity.
Oddball Paradigms
Two types of oddball paradigms were used in this study. During
both oddball tasks, 200 black letters (X and O on a white
background) were randomly presented during 100 ms on a
2 Contact the authors for more information about the CoPs program. Also, see
Lavoie etal. (25) or O’Connor etal. (26) for further details.
5
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
computer screen (Viewsonic SVGA 17″ monitor), with a random
1700–2200ms inter-trial interval. e frequent stimulus (the let-
ter “O”) was presented 80% of the time (n=160), whereas the rare
stimulus (the letter “X”) was presented with a 20% probability
(n=40). e rst task is a counting oddball task, which presented
the same stimuli, but this time participants must only count the
number of rare stimuli. At the end of the experiment, the partici-
pants had to report the exact amount of rare stimuli (n=40). e
second task is a motor oddball task, where participants pressed the
keyboard le arrow key with their le index nger when frequent
stimuli were presented and pressed the right arrow key with their
right index nger, when the rare stimuli were presented. e
order of presentation of the counting and the motor tasks was
counterbalanced across participants.
Electrophysiological Recordings
e EEG was recorded during both oddball tasks, with a
digital amplier (Sensorium Inc., Charlotte, VT, USA). EEG
signal was recorded from 63 Ag/AgCl electrodes mounted in
a lycra cap (Electrode Arrays, El Paso, TX, USA)3 and placed
according to standard EEG guidelines (61). All electrodes were
referenced to the nose. e signal was sampled continuously
at 500 Hz and recorded with 0.01Hz high-pass lter and a
100-Hz low-pass lter (60Hz notch lter). Impedance was kept
below 5kΩ, using an electrolyte gel (JNetDirect Biosciences,
Herndon, VA, USA). Bipolar electro-oculogram (EOG) was
recorded to clear EEG from eye artifacts, such as blinks and
eye movements. Electrodes were placed at the outer canthus
of each eye (horizontal EOG) and below and above le eye
(vertical EOG). e stimuli were monitored by Presentation
(Neurobehavioral Systems, Albany, CA, USA),4 and the signal
was recorded with IWave (InstEP Systems, Montréal, QC,
USA) running on two PCs.
ERP Extraction from Raw EEG Signal
Ocular artifacts were corrected oine with the Gratton algorithm
(62). Raw signals were averaged oine and time-locked to the
stimulus onset, in a time window of 100ms prior to stimulus
onset until 900ms aer stimulus onset. Stimuli were categorized
across frequent and rare conditions. ERP data were ltered oine
with a 0.30-Hz high-pass lter and a 30-Hz low-pass lter. During
the averaging procedure, clippings due to ampliers saturation
and remaining epochs exceeding 100μV were removed. Finally,
participants had to have at least 20 valid trials in each condition
to be included in the analyses.
e amplitude of the P200 was calculated as the maximum
peak during the 150–300 ms interval, whereas the amplitude
of the N200 was calculated as the lowest peak during the same
interval. e amplitude of the P300 component was calculated as
the mean amplitude in the 300–550ms interval. irty electrodes
were used to analyze each of these components: AF1, AF2, AF3,
AF4, F1, F2, F3, F4, F5, F6 (frontal region), FC1, FC2, FC3, FC4,
C1, C2, C3, C4, C5, C6 (central region), CP1, CP2, CP5, CP6, P1,
P2, P3, P4, P5, and P6 (parietal region).
3 http://www.sandsresearch.com/electrode-caps.html
4 http://www.neurobs.com/
Statistical Analyses
Since the control group was only tested once, two separate sets
of analyses were performed. e rst set of analyses compared
the TD, BFRB, and control groups at the baseline, whereas the
second set of analyses compared the TD and BFRB groups at
baseline and aer CoPs therapy. erefore, we performed each
MANOVA twice, rst with the between-group factor group (TD/
BFRB/controls), and then the within-group factor therapy (pre/
post) was added. e between-group factor Group only contained
two levels in this second set of analyses (TD/BFRB). Independent
samples t-tests were performed to compare the two groups on
age, intelligence, depression, and anxiety scores. Paired samples
t-tests were also performed to compare TSGS, YGTSS, BDI, and
BAI scores before and aer the therapy.
To compare TD and BFRB patients with controls on N200,
P200, and P300 peak amplitude, repeated-measures MANOVAs
were performed with the between-group factor Group (TD/
BFRB/controls), and three within-group factors: condition (fre-
quent/rare), region (frontal/central/parietal), and hemisphere
(le/right). To assess the therapy eects, a within-group factor
therapy was added (pre/post) in the second set of analyses.
Signicant interactions in all components were further analyzed
with paired and independent samples t-tests. Further analyses
were performed on each clinical group (TD and BFRB) to
examine if the impact of CoPs therapy diered between groups.
Huynh–Feldt corrections for repeated-measures analyses were
performed when required. Tukey’s test was used to assess dier-
ences between groups before therapy.
RESULTS
Impact of CoPs Therapy on Clinical
Measures
e therapy induced a reduction in tics and habits symptoms in
TD and BFRB patients, respectively. In both groups, there were
reductions in TSGS [F(1,51) = 67.09, p< 0.001] and YGTSS
total scores [F(1,51) =89.13, p<0.001]. Reductions in TSGS
total score remained signicant when covarying for depres-
sion [F(1,51)= 26.39, p< 0.001] and anxiety [F(1,51)= 23.99,
p< 0.001]. With impulsivity as a covariant, there was a trend
toward a signicant reduction in TSGS score [F(1,50) = 3.23,
p=0.078]. Reductions in YGTSS total score remained signicant
when covarying for depression [F(1,51)=31.16, p<0.001], anxi-
ety [F(1,51)=17.07, p<0.001], and impulsivity [F(1,50)=5.15,
p<0.05].
ere were also reductions in YTGSS tics/habits impairment
[F(1,51) = 60.42, p< 0.001] and motor tics/habits subscales
[F(1,51) = 55.84, p< 0.001]. Moreover, there was a therapy
by group interaction on the YGTSS motor tics/habits subscale
[F(1,51)=5.84, p<0.05], which showed that motor tics/habits
severity decrease following CoPs therapy in both patient groups,
but improvements were more pronounced in the BFRB group.
Moreover, the therapy induced a signicant improvement
in YGTSS scores on the phonic tic subscale in TD patients
[F(1,25) = 19.30, p< 0.001], as well as reduced MGH scales
scores for BFRB patients [F(1,23)=25.90, p<0.001]. Following
therapy, anxiety and depressive symptoms were also diminished
TABLE 2 | CBT impact on clinical scales.
Pre Post
TD
(n=26)
BFRB
(n=27)
TD
(n=26)
BFRB
(n=27)
Mean SD Mean SD Mean SD Mean SD F p d Group difference
Depression (BDI) 11 10.2 14 7.8 6 6.5 7 6.0 26.69*** <0.001 0.73 TD and BFRB: pre>post
Anxiety (BAI) 8 5.9 11 6.6 6 6.5 8 4.7 6.29* <0.05 0.41 TD and BFRB: pre>post
OCS (Padua)a30 30.9 35 25.8 28 23.5 35 24.4 0.22 ns 0.04
Tic severity TSGS total score 18 9.8 17 9.7 9 8.6 7 7.0 67.09*** <0.001 1.06 TD and BFRB: pre>post
YGTSS Total 40 15.3 28 10.8 26 11.2 16 9.3 89.13*** <0.001 1.04 TD and BFRB: pre>post
Tics/habits impairment 20 10.5 14 5.9 10 5.0 7 5.2 60.42*** <0.001 1.11 TD and BFRB: pre>post
Motor tics/habits severity 13 4.3 13 3.5 11 4.6 8 4.4 55.84*** <0.001 0.86 TD and BFRB: pre>post
Phonic tics severityb7 5.6 N/A N/A 5 4.7 N/A N/A 19.30*** <0.001 0.53 TD: pre>post
MGH scalescN/A N/A 17 3.6 N/A N/A 10 5.6 25.90*** <0.001 1.49 BFRB: pre>post
Impulsivity (BIS-10)d71 8.8 72 7.9 69 9.0 71 7.4 2.76 ns 0.13
BDI, Beck depression inventory; BAI, Beck anxiety inventory; OCS, obsessive–compulsive symptoms; TSGS, Tourette’s syndrome global scale; YGTSS, Yale Global Tic Severity
Scale; MGH scales, Massachusetts General Hospital Hairpulling Scale and its adapted versions for other BFRB; ns, not statistically signicant; d, Cohen’s d were calculated with
both clinical groups pooled together, except for YGTSS phonic tics subscale (TD only) and MGH scales (BFRB only).
*p<0.05.
***p<0.001.
a11 TD patients and ve BFRB patients with missing data.
bOnly for TD patients.
cOnly for BFRB patients. Three patients with missing data.
dOne TD patient with missing data.
Every signicant result is in bold.
6
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
in both patient groups, as shown by signicant reductions in
BAI [F(1,51)=6.29, p<0.05] and BDI scores [F(1,51)=26.69,
p< 0.001]. e CoPs therapy had no impact on impulsivity.
Clinical results are shown in Table2.
Counting Oddball Task
P200 Component
Before CoPs therapy, there were main eects of condition
[F(1,77)=170.52, p<0.001], region [F(2,76)=7.30, p<0.005],
and hemisphere [F(1,77)=15.80, p<0.001]. e rare–frequent
oddball eect was larger over the central region in all groups,
which lead to a condition by region interaction [F(2,76)=80.50,
p<0.001]. ere was no group main eect or interaction for that
component. No therapy eect reached statistical signicance. ERP
waveforms for the counting oddball task are shown in Figure1.
N200 Component
Before CoPs therapy, there was a region main eect [F(2,76)=12.71,
p< 0.001], as well as condition by region [F(2,76) = 13.86,
p<0.001] and region by hemisphere [F(2,76)=4.58, p<0.05]
interactions. ere was also a condition by region by hemisphere
by group interaction [F(3.89,149.63)= 23.65, p< 0.05], which
revealed that BFRB patients had a larger N200 amplitude than
controls over the right-central region during frequent stimuli
[F(2,77)=3.36, p<0.05, Tukey: p<0.05], thus reducing the N200
oddball eect. No signicant change due to therapy was noted.
P300 Component
Before CoPs therapy, there were main eects of condition
[F(1,77) = 97.94, p<0.001], region [F(1.30,100.32) = 51.46,
p<0.001], and hemisphere [F(1,77)=4.31, p< 0.05], as well
as condition by region [F(1.34,103.02)=45.58, p< 0.001] and
condition by hemisphere [F(1,77)=4.75, p<0.05] interactions.
Most importantly, there was a condition by group [F(2,77)=5.26,
p< 0.01] interaction, which revealed smaller P300 amplitude
during rare trials for both clinical groups, in comparison with the
control group (Figure2). is interaction remained signicant
even when covarying for medication [F(2,76)=4.65, p<0.05].
ere was also a condition by region by hemisphere by group
four-way interaction [F(3.34,128.65) = 3.20, p< 0.05], which
revealed that there were signicant between-group dierences
during rare trials over the le frontal [F(2,77)=3.25, p<0.05],
le [F(2,77)=3.56, p<0.05] and right-central [F(2,77)=3.34,
p<0.05], and right parietal [F(2,77) =3.35, p<0.05] regions.
ere were no such group dierences during frequent trials.
When clinical groups were pooled together, the TSGS global
score was negatively correlated with the P300 oddball eect in
the right-central (r=−0.28, p<0.05) and the le (r=−0.27,
p<0.05) and right (r=−0.28, p<0.05) parietal regions. In the
TD group, the P300 oddball eect was positively correlated with
the BIS-10 score in the le-central (r=0.43, p<0.05) and parietal
regions (r=0.48, p<0.05). ere was no such correlation in the
BFRB or the control group.
ere was a main eect of therapy [F(1,51)=5.20, p<0.05], and
a therapy by condition interaction [F(1,51)=10.63, p<0.005],
which revealed an increase in amplitude during rare trials fol-
lowing therapy (see Figure2). When covarying with medication,
the therapy main eect was no longer signicant, but the therapy
by condition interaction remained signicant [F(1,50) = 5.42,
p<0.05]. Also, when we analyzed groups separately, there was
FIGURE 1 | ERP waveforms during the counting oddball task. The initial positive deection that arises about 200ms after stimulus presentation corresponds
to the P200 component. The negative deection that follows is the N200, which is then followed by the P300, a positive deection that emerges 300ms after
stimulus presentation. The oddball effect is represented by the P300 amplitude to rare (dotted line)−frequent (solid line) stimuli. Before therapy, TD and BFRB
patients had reduced P300 amplitude than controls during rare trials. A signicant amplitude increase was induced by the CoPs therapy. This increase occurred in
all three regions in BFRB patients but was more localized in the parietal region in TD patients.
7
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
a therapy main eect [F(1,26)= 4.61, p< 0.05] and a therapy
by condition interaction [F(1,26)=8.17, p< 0.01] in the BFRB
group (which also revealed amplitude increase in rare trials). In
comparison, there was only a trend toward a therapy by condition
interaction in the TD group [F(1,25)=3,39, p=0.078], when ana-
lyzing the entire cortex. However, there was a localized therapy by
condition interaction in the le parietal region [F(1,25)=3.88,
p<0.05] in TD patients, revealing an amplitude increase during
rare trials and thus, a larger oddball eect in this region aer CoPs
therapy (Figure3).
Motor Oddball Task
Reaction Times
Before CoPs therapy, there was a main eect of condition
[F(1,77)=169.37, p<0.001], which indicated that all participants
responded faster to frequent than to rare stimuli. ere was also a
group main eect [F(2,77)=4.02, p<0.05] on median reaction
times, which revealed that BFRB patients reaction times were
delayed compared to the control group (Tukey: p<0.05). ere
was no signicant dierence between TD patients and controls
and no signicant eect of therapy perse on reaction times.
P200
Event-related potentials waveforms for the motor oddball task
are shown in Figure4. Before CoPs therapy, there were condi-
tion by region [F(2,76)=98.10, p<0.001], condition by hemi-
sphere [F(1,77)= 16.45, p<0.001], and region by hemisphere
[F(2,76)=10.87, p<0.001] interactions.
N200
Before CoPs therapy, there were condition by region
[F(2,76) = 10.44, p< 0.001] and condition by hemisphere
FIGURE 3 | P300 scalp topographies of activation changes induced by
CoPs therapy. P300 data before therapy were subtracted from P300 data
after CoPs therapy to illustrate the activation changes induced by CoPs
therapy in frequent and rare conditions. Red color represents an activation
increase following CoPs therapy, whereas blue color represents a decrease in
activation in microvolts. The SLORETA number indicates the timeframe of
each scalp. The timeframes were selected as the maximum peak during the
300–550ms interval following stimulus presentation, for the frequent and rare
condition. For both groups, scalp topographies show that most of the pre–
posttherapy difference in P300 activation occurred during rare condition. In
TD patients, the activation increase was localized in the parietal area,
especially the central and left hemisphere. In BFRB patients, the increase
was generalized to the whole cortex. Scalp topographies were obtained
through LORETA (63).
FIGURE 2 | The P300 oddball effect (therapy by condition). The P300
oddball effect represents the subtraction of frequent condition from the rare
condition across all scalp regions. With the counting oddball task, the oddball
effect was signicantly reduced in both clinical groups at pretherapy (black).
However, there were no signicant differences across groups during the
motor task (gray) and no effect of therapy reached signicance. At
posttherapy, a normalization of the oddball effect was induced during the
counting oddball task (black), especially in BFRB patients, where it almost
reaches the level of control participants. Note: error bars represent the SEM.
8
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
[F(1,77)=12.62, p<0.01] interactions, which revealed a larger
condition eect over the frontal le hemisphere.
P300
Before CoPs therapy, there were main effects of condition
[F(1,77) = 71.57, p< 0.001] and region [F(2,76) = 41.45,
p<0.001] followed by condition by region [F(2,76)=13.65,
p< 0.001] and condition by hemisphere [F(1,77) = 45.81,
p<0.001] interactions. There was no significant group dif-
ference or effect of therapy in all three components during the
motor oddball task (see Figure3).
DISCUSSION
e main goal was to compare brain function in TD and BFRB
patients during two oddball tasks and to record the eect of the
CoPs therapy on clinical measures and brain functioning. To
achieve this goal, we used ERP, a technique with high temporal
resolution, which is well suited to follow complex stages of the
processing stream. We expected that the CoPs therapy would
induce a signicant reduction in tic symptom severity in both
clinical groups, whereas an increase in P300 amplitude was
hypothesized to accompany that clinical improvement.
Our results showed that the P300 oddball eect was reduced
in both clinical groups. en, the CoPs therapy induced a
normalization of the P300 oddball eect. e clinical change
following therapy conrmed our hypothesis with a signicant
reduction in tics and habit disorders scale scores. Moreover, anxi-
ety and depression symptoms also improved following therapy.
ese results were observed only in the counting oddball where
no motor response was required.
Counting Oddball Task
Habit symptoms induced an increase in N200 amplitude over the
right-central region, during the counting oddball task. Indeed,
in BFRB patients, the N200 was larger for frequent stimuli, thus
reducing the oddball eect. In an oddball paradigm, the N200 is
traditionally representative of attention and detection processes
(64). At a functional level, this central N200 is generated by the
anterior cingulate cortex and is related to conict monitoring and
cognitive control (64, 65). e obser ved N200 asymmetry toward
FIGURE 4 | ERP waveforms during the motor oddball task. No signicant group differences were observed during the motor oddball task.
9
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
the right hemisphere could be caused by the impaired function-
ing of the corpus callosum (66). e corpus callosum and the
prefrontal cortex have a role in mediating interhemispheric inter-
ference (67). Smaller corpus callosum could be due to accelerated
pruning, whereas axonal pruning is reduced in the frontal cortex
of TD patients (68). erefore, such reports are consistent with
our results of hemispheric discrepancy in the frontal and central
regions, and the BFRB group seems to share that characteristic
with the TD.
Since the N200 reects monitoring and control, an increase
in N200 amplitude could be considered as a function of the
amount of eort that the individual put into regulating the urge
to perform their habits and/or tics. However, the fact that the
therapy failed to aect the N200 oddball eect could mean that
despite better tics/habits awareness and modication of action
style, this is not reected by cerebral activity, at least in that ERP
temporal window.
Later in the processing stream, for both patient group there
was a signicant reduction of the P300 oddball eect, particularly
over the le anterior hemisphere (frontal and central) and the
right posterior hemisphere (central and parietal). Moreover, the
P300 oddball eect in the right-central region and bilaterally in
the parietal region was negatively correlated with TSGS score,
showing that the P300 oddball eect was reduced when tic/
habits symptoms were more severe. Such correlation was not
found with the YGTSS total score or one of its subscales. is
could be explained by the fact that the TSGS has a more detailed
behavioral subscale, including individual rating of learning prob-
lems, occupational problems, and motor restlessness (52). On the
other side, the YGTSS has a 0–50 impairment subscale in which
global impairment caused by TD is scored (53). erefore, this
dierence between those two scales could explain why we found
correlations between the P300 oddball eect with the TSGS, but
not with the YGTSS.
e P300, which indexes processes of stimulus evaluation and
categorization (69, 70), is generated by a network that includes
the prefrontal cortex, the temporoparietal junction, the inferior
parietal lobule, the supramarginal gyrus, and the cingulate gyrus
(70, 71). In a study on a specic subtype of BFRB (i.e., tricho-
tillomania) with MRI, it was reported that patients show higher
10
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
levels of gray matter in the cingulate and parietal regions, in
comparison with healthy controls (15). Trichotillomania patients
also showed impairments in white matter tracts in the anterior
cingulate gyrus, as shown by reduced fractional anisotropy in that
region (16). In comparison, TD patients showed decrease gray
matter in the anterior cingulate gyrus and the sensorimotor areas
and reductions in white matter in the right cingulate gyrus (72).
e P300 reduction has been related to impairments in gray mat-
ter of these regions (73), whereas another study reported positive
correlations between P300 amplitude and white matter volumes
in the prefrontal cortex and the temporoparietal junction,
which were found in both healthy controls and patients at risk
for psychosis (74). erefore, P300 reduction could potentially
reect reduced white or gray matter of the prefrontal cortex and
sensorimotor regions of the brain that in turn aect tics/habit
symptoms.
Interestingly, the non-motor P300 oddball eect increased
in both clinical groups following therapy. While this enhance-
ment was found over the entire cortex in BFRB patients, it was
localized to the parietal cortex in TD patients. One component
of CoPs treatment model for tics and habits is awareness training,
in which patients learn to better integrate information from the
social, geographical, physical, and emotional context (12). Hence,
the larger P300 oddball eect, found aer therapy during a non-
motor task, may depict enhance cognitive resources mobilized
for working memory and contextual updating processes acquired
through persistent training, during the CoPs therapy and prac-
tice sessions. us, the treatment may promote normalization
of aberrant cortical pathways in adults with TD and BFRB. e
change in P300 oddball eect could also represent an adaptive
mechanism to update information in working memory despite
reduced gray and white matter in sensorimotor and prefrontal
areas (7, 8, 72,75). Our ndings are also consistent with recent
ndings in fMRI, which revealed that patients with greater tic
severity reduction had higher activity in the inferior frontal gyrus
(30). e authors argue that since the inferior frontal gyrus is
involved in task-switching and set-shiing, greater activity of this
region could be associated with less impairment in TD patients.
However, these results were obtained from a motor inhibition
priming task, which dier from our own non-motor oddball
task that mobilize cerebral structures, such as the cerebellum, the
thalamus, and the frontal and parietal cortex (48). Intriguingly,
our posttherapy increase was found only with the counting
oddball task, which could suggest that the non-motor P300
amplitude forms a good marker of tic/habits normalization that
accompanies change in cortical activation.
Motor Oddball Task
Consistently, our ERP results during the motor oddball task
conrmed that there were no signicant group dierence in all
components during the motor oddball task and these ERP com-
ponents, along with the reaction times, also were not aected by
the CoPs therapy. While all participants showed delayed reaction
times for rare than for frequent stimuli, which is expected with
this type of motor oddball task, both clinical groups’ reaction
times were not signicantly dierent from controls. is is
consistent with prior ndings with similar oddball paradigms in
TD patients (39). Intact reaction times in adults with TD have
also been found in Go/NoGo motor inhibition tasks (76, 77) and
during a stimulus–response compatibility paradigm (13, 78).
As seen in Figure2, the oddball eect is generally smaller in
the motor than the counting task, in all groups. e amplitude
of the P300 oddball eect during the motor task does not dier
between groups. Motor-related potentials have been reported
to overlap with the P300 and, thus, motor responses can have
an attenuating eect on P300 component (79, 80). is could
explain, in part, why that motor-related P300 was not signi-
cantly aected by tic/habit symptoms or by therapy in the motor
oddball task. is suggests that TD and BFRB patients do not
dier from healthy controls in the evaluation of stimuli salience
and its task-related adequacy (N200/P200) in the context of a
motor oddball task. Again, this is consistent with prior research
on adults with TD that also showed intact P200 in counting
oddball paradigm (42).
Limitations
e principal limitation of the current study is the fact that the
control group was only tested once. Ideally, controls could have
been tested a second time, with the same time interval between
electrophysiological recordings than our patient groups. However,
previous investigations showed good test–retest reliability of
the P300 amplitude over time (81, 82), suggesting that control
participants’ electrocortical activity would not dier signicantly
in a second recording. Another limitation is that there were more
males in the TD group and more females in the BFRB group, but
this is consistent with the inherent gender ratio of both disorders
(9, 83). Literature on this matter does not reveal signicant gen-
der dierence on P300 amplitude in oddball paradigms (84–86).
Also, some patients were under medication, and others had
sub-clinical comorbid disorders. Even though some of our
results could be explained by these factors, we chose to include
patients with comorbidities to have a better ecological validity,
since comorbidities are the norm rather than the exception in
TD (9, 87) and BFRB as well (88, 89). Finally, clinical scales were
administered by unblinded clinicians, which could have aected
the rating of symptom severity.
CONCLUSION
Our ndings constitute one of many building blocks that seek
integration of psychophysiological measures into evidence-based
treatment of TD and BFRB. Consistent with that approach, the
CoPs model considers the release of tension as a part of a general
regulation system, which postulates that the evaluation of tics
must focus further on situational triggers and on a particular
style of action characterized by sensorimotor functioning that
tends to increase muscular activation and tension. Our results
allowed to improve the cerebral and cognitive outcome follow-
ing the CoPs therapy, for these clinical groups. In conclusion,
we demonstrated that TD and BFRB patients have smaller P300
oddball eect, reecting impairments in attention and working
memory. We also found a modication of this neural process aer
therapy, which was generalized throughout all brain regions in
11
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
BFRB patients and more localized in the parietal motor area in
TD patients.
AUTHOR CONTRIBUTIONS
SMB has written this article in partial fulllment for his doctoral
thesis in neuroscience. KO is chief of the Tourette and OCD clinic,
and he was responsible for English text revision for the current
article. MR performed the analyses and wrote some sections of the
manuscript. GS has co-written this article with SMB, particularly
the pretherapy phase. JL was responsible, with KO, of the CoPs
treatment. She also made editorial revisions. PB was responsible
for the dierential diagnosis. He also made editorial revisions.
ML supervised all aspects of data acquisition and analysis with
the rst author. He also made editorial revisions.
ACKNOWLEDGMENTS
We wish to express our gratitude to Martine Germain for electro-
physiological recordings, to Maite Hernandez for psychological
testing, and to Karine Bergeron and Natalia Koszegi for clinical
coordination. We also want to thank all the participants for their
participation in our study.
FUNDING
is research was funded by an operating grant from the Canadian
Institutes of Health Research (CIHR #93556) and a team grant
from the Fonds de Recherche du Québec–Santé (FRQS #20573)
awarded to ML, KO, and PB. SMB and GS both received doctoral
scholarships from the FRQS for their work related to this article.
REFERENCES
1. Walkup JT, Ferrao Y, Leckman JF, Stein DJ, Singer H. Tic disorders: some key
issues for DSM-V. Depress Anxiety (2010) 27:600–10. doi:10.1002/da.20711
2. Miller AM, Bansal R, Hao X, Sanchez-Pena JP, Sobel LJ, Liu J, et al.
Enlargement of thalamic nuclei in Tourette syndrome. Arch Gen Psychiatry
(2010) 67:955–64. doi:10.1001/archgenpsychiatry.2010.102
3. Felling RJ, Singer HS. Neurobiology of Tourette syndrome: current status and
need for further investigation. J Neurosci (2011) 31:12387–95. doi:10.1523/
JNEUROSCI.0150-11.2011
4. Wang Z, Maia TV, Marsh R, Colibazzi T, Gerber A, Peterson BS. e neural
circuits that generate tics in Tourette’s syndrome. Am J Psychiatry (2011)
168:1326–37. doi:10.1176/appi.ajp.2011.09111692
5. Bohlhalter S, Goldne A, Matteson S, Garraux G, Hanakawa T, Kansaku
K, et al. Neural correlates of tic generation in Tourette syndrome: an
event-related functional MRI study. Brain (2006) 129:2029–37. doi:10.1093/
brain/awl050
6. Hampson M, Tokoglu F, King RA, Constable RT, Leckman JF. Brain areas
coactivating with motor cortex during chronic motor tics and intentional move-
ments. Biol Psychiatry (2009) 65:594–9. doi:10.1016/j.biopsych.2008.11.012
7. Sowell ER, Kan E, Yoshii J, ompson PM, Bansal R, Xu D, etal. inning
of sensorimotor cortices in children with Tourette syndrome. Nat Neurosci
(2008) 11:637–9. doi:10.1038/nn.2121
8. Draper A, Jackson GM, Morgan PS, Jackson SR. Premonitory urges are
associated with decreased grey matter thickness within the insula and sen-
sorimotor cortex in young people with Tourette syndrome. J Neuropsychol
(2016) 10:143–53. doi:10.1111/jnp.12089
9. Freeman RD, Fast DK, Burd L, Kerbeshian J, Robertson MM, Sandor P.
An international perspective on Tourette syndrome: selected ndings from
3,500 individuals in 22 countries. Dev Med Child Neurol (2000) 42:436–47.
doi:10.1017/S0012162200000839
10. American Psychiatric Association. Diagnostic and Statistic Manual of Mental
Disorders. Washington, DC: American Psychiatric Association (2000).
11. Biswal B, Ulmer JL, Krippendorf RL, Harsch HH, Daniels DL, Hyde JS,
etal. Abnormal cerebral activation associated with a motor task in Tourette
syndrome. AJNR Am J Neuroradiol (1998) 19:1509–12.
12. O’Connor KP. A cognitive-behavioral/psychophysiological model of tic disor-
ders. Behav Res er (2002) 40:1113–42. doi:10.1016/S0005-7967(02)00048-7
13. Morand-Beaulieu S, O’Connor KP, Sauvé G, Blanchet PJ, Lavoie ME.
Cognitive-behavioral therapy induces sensorimotor and specic electrocor-
tical changes in chronic tic and Tourette’s disorder. Neuropsychologia (2015)
79(Pt B):310–21. doi:10.1016/j.neuropsychologia.2015.05.024
14. O’Connor KP, Lavoie ME, Robert M, Stip E, Borgeat F. Brain-behavior rela-
tions during motor processing in chronic tic and habit disorder. Cogn Behav
Neurol (2005) 18:79–88. doi:10.1097/01.wnq.0000151131.06699.af
15. Chamberlain SR, Menzies LA, Fineberg NA, Del Campo N, Suckling J, Craig K,
etal. Grey matter abnormalities in trichotillomania: morphometric magnetic
resonance imaging study. Br J Psychiatry (2008) 193:216–21. doi:10.1192/bjp.
bp.107.048314
16. Chamberlain SR, Hampshire A, Menzies LA, Garyfallidis E, Grant JE, Odlaug
BL, etal. Reduced brain white matter integrity in trichotillomania: a diusion
tensor imaging study. Arch Gen Psychiatry (2010) 67:965–71. doi:10.1001/
archgenpsychiatry.2010.109
17. Grant JE, Odlaug BL, Hampshire A, Schreiber LR, Chamberlain SR. White
matter abnormalities in skin picking disorder: a diusion tensor imaging
study. Neuropsychopharmacology (2013) 38:763–9. doi:10.1038/npp.2012.241
18. Delorme C, Salvador A, Valabregue R, Roze E, Palminteri S, Vidailhet M, etal.
Enhanced habit formation in Gilles de la Tourette syndrome. Brain (2015)
139(Pt 2):605–15. doi:10.1093/brain/awv307
19. Wile DJ, Pringsheim TM. Behavior therapy for Tourette syndrome: a system-
atic review and meta-analysis. Curr Treat Options Neurol (2013) 15:385–95.
doi:10.1007/s11940-013-0238-5
20. McGuire JF, Piacentini J, Brennan EA, Lewin AB, Murphy TK, Small BJ, etal.
A meta-analysis of behavior therapy for Tourette syndrome. J Psychiatr Res
(2014) 50:106–12. doi:10.1016/j.jpsychires.2013.12.009
21. Bloch MH, Landeros-Weisenberger A, Dombrowski P, Kelmendi B, Wegner
R, Nudel J, etal. Systematic review: pharmacological and behavioral treat-
ment for trichotillomania. Biol Psychiatry (2007) 62:839–46. doi:10.1016/j.
biopsych.2007.05.019
22. Gelinas BL, Gagnon MM. Pharmacological and psychological treatments of
pathological skin-picking: a preliminary meta-analysis. J Obsessive Compuls
Relat Disord (2013) 2:167–75. doi:10.1016/j.jocrd.2013.02.003
23. McGuire JF, Ung D, Selles RR, Rahman O, Lewin AB, Murphy TK, etal.
Treating trichotillomania: a meta-analysis of treatment eects and moderators
for behavior therapy and serotonin reuptake inhibitors. J Psychiatr Res (2014)
58:76–83. doi:10.1016/j.jpsychires.2014.07.015
24. Woods DW, Houghton DC. Evidence-based psychosocial treatments for pedi-
atric body-focused repetitive behavior disorders. J Clin Child Adolesc Psychol
(2015) 45(3):227–40. doi:10.1080/15374416.2015.1055860
25. Lavoie ME, Leclerc J, O’Connor KP. Bridging neuroscience and clinical
psychology: cognitive behavioral and psychophysiological models in the
evaluation and treatment of Gilles de la Tourette syndrome. Neuropsychiatry
(London) (2013) 3:75–87. doi:10.2217/npy.12.70
26. O’Connor KP, Lavoie M, Blanchet P, St-Pierre-Delorme ME. Evaluation of
a cognitive psychophysiological model for management of tic disorders: an
open trial. Br J Psychiatry (2015). doi:10.1192/bjp.bp.114.154518
27. O’Connor KP, Brault M, Robillard S, Loiselle J, Borgeat F, Stip E. Evaluation
of a cognitive-behavioural program for the management of chronic tic
and habit disorders. Behav Res er (2001) 39:667–81. doi:10.1016/
S0005-7967(00)00048-6
28. O’Connor KP, Laverdure A, Taillon A, Stip E, Borgeat F, Lavoie M. Cognitive
behavioral management of Tourette’s syndrome and chronic tic disorder
in medicated and unmedicated samples. Behav Res er (2009) 47:1090–5.
doi:10.1016/j.brat.2009.07.021
12
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
29. Lavoie ME, Imbriglio TV, Stip E, O’Connor KP. Neurocognitive changes
following cognitive-behavioral treatment in Tourette syndrome and chronic
tic disorder. Int J Cogn er (2011) 4:34–50. doi:10.1521/ijct.2011.4.1.34
30. Deckersbach T, Chou T, Britton JC, Carlson LE, Reese HE, Siev J, etal. Neural
correlates of behavior therapy for Tourette’s disorder. Psychiatry Res (2014)
224:269–74. doi:10.1016/j.pscychresns.2014.09.003
31. Potts GF, Tucker DM. Frontal evaluation and posterior representation in
target detection. Brain Res Cogn Brain Res (2001) 11:147–56. doi:10.1016/
S0926-6410(00)00075-6
32. Potts GF, Patel SH, Azzam PN. Impact of instructed relevance on the visual
ERP. Int J Psychophysiol (2004) 52:197–209. doi:10.1016/j.ijpsycho.2003.10.005
33. Bocquillon P, Bourriez JL, Palmero-Soler E, Molaee-Ardekani B, Derambure
P, Dujardin K. e spatiotemporal dynamics of early attention processes: a
high-resolution electroencephalographic study of N2 subcomponent sources.
Neuroscience (2014) 271:9–22. doi:10.1016/j.neuroscience.2014.04.014
34. Donchin E, Coles MGH. Is the P300 component a manifestation of context
updating? Behav Brain Sci (1988) 11:357–74. doi:10.1017/S0140525X00058027
35. van de Wetering BJ, Martens CM, Fortgens C, Slaets JP, van Woerkom TC. Late
components of the auditory evoked potentials in Gilles de la Tourette syndrome.
Clin Neurol Neurosurg (1985) 87:181–6. doi:10.1016/0303-8467(85)90004-6
36. van Woerkom TC, Fortgens C, Rompel-Martens CM, van de Wetering
BJ. Auditory event-related potentials in adult patients with Gilles de la
Tourette’s syndrome in the oddball paradigm. Electroencephalogr Clin
Neurophysiol (1988) 71:443–9. doi:10.1016/0168-5597(88)90048-2
37. van Woerkom TC, Roos RA, van Dijk JG. Altered attentional processing of
background stimuli in Gilles de la Tourette syndrome: a study in auditory
event-related potentials evoked in an oddball paradigm. Acta Neurol Scand
(1994) 90:116–23. doi:10.1111/j.1600-0404.1994.tb02690.x
38. Oades RD, Dittmann-Balcar A, Schepker R, Eggers C, Zerbin D. Auditory
event-related potentials (ERPs) and mismatch negativity (MMN) in healthy
children and those with attention-decit or Tourette/tic symptoms. Biol
Psychol (1996) 43:163–85. doi:10.1016/0301-0511(96)05189-7
39. Johannes S, Weber A, Muller-Vahl KR, Kolbe H, Dengler R, Munte TF.
Event-related brain potentials show changed attentional mechanisms in
Gilles de la Tourette syndrome. Eur J Neurol (1997) 4:152–61. doi:10.111
1/j.1468-1331.1997.tb00321.x
40. Johannes S, Wieringa BM, Mantey M, Nager W, Rada D, Muller-Vahl KR,
et al. Altered inhibition of motor responses in Tourette syndrome and
obsessive-compulsive disorder. Acta Neurol Scand (2001) 104:36–43.
doi:10.1034/j.1600-0404.2001.00308.x
41. Johannes S, Wieringa BM, Nager W, Muller-Vahl KR, Dengler R, Munte TF.
Excessive action monitoring in Tourette syndrome. J Neurol (2002) 249:961–6.
doi:10.1007/s00415-002-0657-9
42. ibault G, Felezeu M, O’C onnor KP, Todorov C, Stip E, Lavoie ME. Inuence
of comorbid obsessive-compulsive symptoms on brain event-related potentials
in Gilles de la Tourette syndrome. Prog Neuropsychopharmacol Biol Psychiatry
(2008) 32:803–15. doi:10.1016/j.pnpbp.2007.12.016
43. Towey JP, Tenke CE, Bruder GE, Leite P, Friedman D, Liebowitz M, etal.
Brain event-related potential correlates of overfocused attention in obses-
sive-compulsive disorder. Psychophysiolog y (1994) 31:535–43. doi:10.111
1/j.1469-8986.1994.tb02346.x
44. Miyata A, Matsunaga H, Kiriike N, Iwasaki Y, Takei Y, Yamagami S. Event-
related potentials in patients with obsessive-compulsive disorder. Psychiatry
Clin Neurosci (1998) 52:513–8. doi:10.1046/j.1440-1819.1998.00427.x
45. Sanz M, Molina V, Martin-Loeches M, Calcedo A, Rubia FJ. Auditory
P300 event related potential and serotonin reuptake inhibitor treatment in
obsessive-compulsive disorder patients. Psychiatry Res (2001) 101:75–81.
doi:10.1016/S0165-1781(00)00250-X
46. Kim MS, Kang SS, Youn T, Kang DH, Kim JJ, Kwon JS. Neuropsychological
correlates of P300 abnormalities in patients with schizophrenia and obses-
sive-compulsive disorder. Psychiatry Res (2003) 123:109–23. doi:10.1016/
S0925-4927(03)00045-3
47. Johannes S, Wieringa BM, Nager W, Muller-Vahl KR, Dengler R, Munte TF.
Electrophysiological measures and dual-task performance in Tourette syn-
drome indicate decient divided attention mechanisms. Eur J Neurol (2001)
8:253–60. doi:10.1046/j.1468-1331.2001.00199.x
48. Warbrick T, Reske M, Shah NJ. Do EEG paradigms work in fMRI? Varying
task demands in the visual oddball paradigm: implications for task design
and results interpretation. Neuroimage (2013) 77:177–85. doi:10.1016/j.
neuroimage.2013.03.026
49. Hyler SE. Personality Questionnaire PDQ-41. New York: New York State
Psychiatric Institute (1994).
50. Wilberg T, Dammen T, Friis S. Comparing personality diagnostic question-
naire-4+ with longitudinal, expert, all data (LEAD) standard diagnoses in a
sample with a high prevalence of axis I and axis II disorders. Compr Psychiatry
(2000) 41:295–302. doi:10.1053/comp.2000.0410295
51. Rodgers R, Callahan S, Chabrol H. [Revision of the translation of certain items
in the French version of PDQ-4 (personality diagnostic questionnaire, Hyler,
1994)]. Encephale (2004) 30:408–9.
52. Harcherik DF, Leckman JF, Detlor J, Cohen DJ. A new instrument for clinical
studies of Tourette’s syndrome. J Am Acad Child Psychiatry (1984) 23:153–60.
doi:10.1097/00004583-198403000-00006
53. Leckman JF, Riddle MA, Hardin MT, Ort SI, Swartz KL, Stevenson J,
et al. e Yale Global Tic Severity Scale: initial testing of a clinician-rated
scale of tic severity. J Am Acad Child Adolesc Psychiatry (1989) 28:566–73.
doi:10.1097/00004583-198907000-00015
54. O’Connor K, St-Pierre-Delorme ME, Leclerc J, Lavoie M, Blais MT. Meta-
cognitions in Tourette syndrome, tic disorders, and body-focused repetitive dis-
order. Can J Psychiatry (2014) 59:417–25. doi:10.1177/070674371405900804
55. Keuthen NJ, O’Sullivan RL, Ricciardi JN, Shera D, Savage CR, Borgmann
AS, etal. e Massachusetts General Hospital (MGH) Hairpulling Scale: 1.
Development and factor analyses. Psychother Psychosom (1995) 64:141–5.
doi:10.1159/000289003
56. Sanavio E. Obsessions and compulsions: the Padua inventory. Behav Res er
(1988) 26:169–77. doi:10.1016/0005-7967(88)90116-7
57. Bayle FJ, Bourdel MC, Caci H, Gorwood P, Chignon JM, Ades J, etal. [Factor
analysis of French translation of the Barratt impulsivity scale (BIS-10)]. Can
J Psychiatry (2000) 45:156–65. doi:10.1177/070674370004500206
58. Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical
anxiety: psychometric properties. J Consult Clin Psychol (1988) 56:893–7.
doi:10.1037/0022-006X.56.6.893
59. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for
measuring depression. Arch Gen Psychiatry (1961) 4:561–71. doi:10.1001/
archpsyc.1961.01710120031004
60. Brown TA, DiNardo PA, Barlow DH. Anxiety Disorders Interview Schedule for
DSM-IV. Boulder, CO: Graywind Publications (1994).
61. American EEG Society. Guideline thirteen: guidelines for standard
electrode position nomenclature. J Clin Neurophysiol (1994) 11:111–3.
doi:10.1097/00004691-199401000-00014
62. Gratton G, Coles MG, Donchin E. A new method for o-line removal of
ocular artifact. Electroencephalogr Clin Neurophysiol (1983) 55:468–84.
doi:10.1016/0013-4694(83)90135-9
63. Pascual-Marqui RD. Standardized low-resolution brain electromagnetic
tomography (sLORETA): technical details. Methods Find Exp Clin Pharmacol
(2002) 24(Suppl D):5–12.
64. Folstein JR, Van Petten C. Inuence of cognitive control and mismatch on
the N2 component of the ERP: a review. Psychophysiology (2008) 45:152–70.
doi:10.1111/j.1469-8986.2007.00602.x
65. Warren CM, Tanaka JW, Holroyd CB. What can topology changes in the
oddball N2 reveal about underlying processes? Neuroreport (2011) 22:870–4.
doi:10.1097/WNR.0b013e32834bbe1f
66. Plessen KJ, Lundervold A, Gruner R, Hammar A, Lundervold A, Peterson
BS, etal. Functional brain asymmetry, attentional modulation, and interhemi-
spheric transfer in boys with Tourette syndrome. Neuropsychologia (2007)
45:767–74. doi:10.1016/j.neuropsychologia.2006.08.006
67. Margolis A, Donkervoort M, Kinsbourne M, Peterson BS. Interhemispheric
connectivity and executive functioning in adults with Tourette syndrome.
Neuropsychology (2006) 20:66–76. doi:10.1037/0894-4105.20.1.66
68. Plessen KJ, Gruner R, Lundervold A, Hirsch JG, Xu D, Bansal R, et al.
Reduced white matter connectivity in the corpus callosum of children
with Tourette syndrome. J Child Psychol Psychiatry (2006) 47:1013–22.
doi:10.1111/j.1469-7610.2006.01639.x
69. Kok A. On the utility of P3 amplitude as a measure of processing capacity.
Psychophysiology (2001) 38:557–77. doi:10.1017/S0048577201990559
70. Bledowski C, Prvulovic D, Goebel R, Zanella FE, Linden DEJ. Attentional
systems in target and distractor processing: a combined ERP and
13
Morand-Beaulieu et al.
Psychophysiological Therapy in TD and BFRB
Frontiers in Psychiatry | www.frontiersin.org May 2016 | Volume 7 | Article 81
fMRI study. Neuroimage (2004) 22:530–40. doi:10.1016/j.neuroimage.
2003.12.034
71. Linden DE. e P300: where in the brain is it produced and what does it tell us?
Neuroscientist (2005) 11:563–76. doi:10.1177/1073858405280524
72. Muller-Vahl KR, Kaufmann J, Grosskreutz J, Dengler R, Emrich HM, Peschel
T. Prefrontal and anterior cingulate cortex abnormalities in Tourette syn-
drome: evidence from voxel-based morphometry and magnetization transfer
imaging. BMC Neurosci (2009) 10:47. doi:10.1186/1471-2202-10-47
73. Ford JM, Sullivan EV, Marsh L, White PM, Lim KO, Pfeerbaum A. e rela-
tionship between P300 amplitude and regional gray matter volumes depends
upon the attentional system engaged. Electroencephalogr Clin Neurophysiol
(1994) 90:214–28. doi:10.1016/0013-4694(94)90093-0
74. Fusar-Poli P, Crossley N, Woolley J, Carletti F, Perez-Iglesias R, Broome M,
etal. White matter alterations related to P300 abnormalities in individuals
at high risk for psychosis: an MRI-EEG study. J Psychiatry Neurosci (2011)
36:239–48. doi:10.1503/jpn.100083
75. Draganski B, Martino D, Cavanna AE, Hutton C, Orth M, Robertson MM,
etal. Multispectral brain morphometry in Tourette syndrome persisting into
adulthood. Brain (2010) 133:3661–75. doi:10.1093/brain/awq300
76. Roessner V, Albrecht B, Dechent P, Baudewig J, Rothenberger A. Normal
response inhibition in boys with Tourette syndrome. Behav Brain Funct (2008)
4:29. doi:10.1186/1744-9081-4-29
77. Biermann-Ruben K, Miller A, Franzkowiak S, Finis J, Pollok B, Wach C,
etal. Increased sensory feedback in Tourette syndrome. Neuroimage (2012)
63:119–25. doi:10.1016/j.neuroimage.2012.06.059
78. ibault G, O’Connor KP, Stip E, Lavoie ME. Electrophysiological manifes-
tations of stimulus evaluation, response inhibition and motor processing in
Tourette syndrome patients. Psychiatry Res (2009) 167:202–20. doi:10.1016/j.
psychres.2008.03.021
79. Kok A. Overlap between P300 and movement-related-potentials: a
response to Verleger. Biol Psychol (1988) 27:51–8. doi:10.1016/0301-0511(88)
90005-1
80. Salisbury DF, Rutherford B, Shenton ME, McCarley RW. Button-pressing
aects P300 amplitude and scalp topography. Clin Neurophysiol (2001)
112:1676–84. doi:10.1016/S1388-2457(01)00607-1
81. Debener S, Kranczioch C, Herrmann CS, Engel AK. Auditory novelty
oddball allows reliable distinction of top-down and bottom-up processes of
attention. Int J Psychophysiol (2002) 46:77–84. doi:10.1016/S0167-8760(02)
00072-7
82. Williams LM, Simms E, Clark CR, Paul RH, Rowe D, Gordon E. e
test-retest reliability of a standardized neurocognitive and neurophysi-
ological test battery: “neuromarker”. Int J Neurosci (2005) 115:1605–30.
doi:10.1080/00207450590958475
83. Siddiqui EU, Naeem SS, Naqvi H, Ahmed B. Prevalence of body-focused
repetitive behaviors in three large medical colleges of Karachi: a cross-sec tional
study. BMC Res Notes (2012) 5:614. doi:10.1186/1756-0500-5-614
84. Campanella S, Rossignol M, Mejias S, Joassin F, Maurage P, Debatisse D,
et al. Human gender dierences in an emotional visual oddball task: an
event-related potentials study. Neurosci Lett (2004) 367:14–8. doi:10.1016/j.
neulet.2004.05.097
85. Rozenkrants B, Polich J. Aective ERP processing in a visual oddball
task: arousal, valence, and gender. Clin Neurophysiol (2008) 119:2260–5.
doi:10.1016/j.clinph.2008.07.213
86. Wang R, Dong Z, Chen X, Zhang M, Yang F, Zhang X, etal. Gender dier-
ences of cognitive function in migraine patients: evidence from event-related
potentials using the oddball paradigm. J Headache Pain (2014) 15:6.
doi:10.1186/1129-2377-15-6
87. Robertson MM. e Gilles de la Tourette syndrome: the current status. Arch Dis
Child Educ Pract Ed (2012) 97:166–75. doi:10.1136/archdischild-2011-300585
88. Stein DJ, Flessner CA, Franklin M, Keuthen NJ, Lochner C, Woods DW.
Is trichotillomania a stereotypic movement disorder? An analysis of
body-focused repetitive behaviors in people with hair-pulling. Ann Clin
Psychiatry (2008) 20:194–8. doi:10.1080/10401230802435625
89. Snorrason I, Ricketts EJ, Flessner CA, Franklin ME, Stein DJ, Woods DW. Skin
picking disorder is associated with other body-focused repetitive behaviors:
ndings from an Internet study. Ann Clin Psychiatry (2012) 24:292–9.
Conict of Interest Statement: e authors declare that the research was con-
ducted in the absence of any commercial or nancial relationships that could be
construed as a potential conict of interest.
Copyright © 2016 Morand-Beaulieu, O’Connor, Richard, Sauvé, Leclerc, Blanchet
and Lavoie. is is an open-access article distributed under the terms of the Creative
Commons Attribution License (CC BY). e use, distribution or reproduction in
other forums is permitted, provided the original author(s) or licensor are credited
and that the original publication in this journal is cited, in accordance with accepted
academic practice. No use, distribution or reproduction is permitted which does not
comply with these terms.
Content uploaded by Marc E Lavoie
Author content
All content in this area was uploaded by Marc E Lavoie on May 12, 2016
Content may be subject to copyright.