Wiley

Annals of Clinical and Translational Neurology

Published by Wiley and American Neurological Association

Online ISSN: 2328-9503

Disciplines: Neurology

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Figure 1. The Yeo 7-network parcellation. This figure demonstrates the Yeo 7-network parcellation projected onto cortical surfaces (clockwise from top left) left lateral hemisphere, right lateral hemisphere, right mesial hemisphere, left mesial hemisphere. The network projections are colorcoded as shown in the legend.
Multivariable binomial logistic regression of predictors of pharmacoresistant epilepsy.
Limbic network co-localization predicts pharmacoresistance in dysplasia-related epilepsy

September 2023

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707 Reads

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3 Citations

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Phat Chang

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William D Gaillard
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Aims and scope


Annals of Clinical and Translational Neurology is a fully Open Access, peer-reviewed journal for rapid dissemination of high-quality research related to all areas of neurology.

Recent articles


(A) Frontal view and (B) side profile photographs of the patient at 3 years of age, demonstrating characteristic facial features associated with Temple Syndrome.
Blended phenotype of TECPR2‐associated hereditary sensory‐autonomic neuropathy and Temple syndrome
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January 2025

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7 Reads

Uniparental isodisomy (UPiD) can cause mixed phenotypes of imprinting disorders and autosomal‐recessive diseases. We present the case of a 3‐year‐old male with a blended phenotype of TECPR2‐related hereditary sensory and autonomic neuropathy (HSAN9) and Temple syndrome (TS14) due to maternal UPiD of chromosome 14, which includes a loss‐of‐function founder variant in the TECPR2 gene [NM_014844.5: c.1319del, p.Leu440Argfs*19]. This case illustrates challenges associated with a mixed phenotype of ultra‐rare disorders and underscores the importance of investigating recessive conditions in homozygosity regions when atypical clinical features occur in patients with well‐characterized imprinting disorders.


Paraclinical findings of patient 1. (A) Nerve conduction study (patient 1), 5 mV‐10 ms/div: motor nerve conduction study of the median nerve: (A1) at the wrist, (A2) at the elbow, (A3) at middle level of the arm. There was a conduction block (70% reduction of amplitude) between the wrist and the elbow. (B) Brachial plexus MRI (patient 1), coronal plane, conventional T2‐weighted sequences with STIR suppression. Bilateral diffuse hyperintensity and mild hypertrophy of the brachial plexus. (C–E) Superficial fibular nerve postmortem sample (patient 1). (C) Masson's trichrome stain showing myelin sheath alterations (arrows); (D and E) Double‐labelling of neurofilament (brown) and PrPSc (red) showing localization of PrPSc in the myelin sheath. (D) Longitudinal section; (E) transversal section. Scale bars = 10 μm. (F) Dorsal root ganglia postmortem sample (patient 1): Double labeling of Schwann cells (S100 protein in red) with detection of PrPSc (brown) on either side of the nodes of Ranvier (arrows). Scale bar = 10 μm.
Demyelinating neuropathy as the initial presentation of familial E200K Creutzfeldt–Jakob disease in two patients

January 2025

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15 Reads

Objective To describe peripheral neuropathy associated with familial Creutzfeldt‐Jakob disease. Methods We report two unrelated patients with genetic Creutzfeldt–Jakob disease with demyelinating peripheral neuropathy as initial presentation, with a comprehensive clinical, electrophysiological and neuropathological description. Results Both patients exhibited gait disturbance and paresthesia. Electrodiagnostic studies revealed demyelinating abnormalities with motor conduction blocks suggestive of chronic inflammatory demyelinating polyradiculoneuropathy, with abnormal plexus MRI and elevated CSF protein levels. One of them had pes cavus and a late‐onset Charcot–Marie‐Tooth (CMT) disease was also initially hypothesized. Central nervous system involvement manifested 1–2 years after the onset of peripheral symptoms. Both patients had a heterozygous E200K mutation in the PRNP gene. Postmortem neuropathological examinations showed PrPSc deposits in the peripheral nervous system, particularly in Schwann cells. Interpretation: Peripheral neuropathy in E200K genetic forms of Creutzfeldt‐Jakob disease can be inaugural and mimic chronic inflammatory demyelinating polyradiculoneuropathy.


Effect on serum NfL and CSF pNFH (N = 7). Longitudinal changes in neurofilament before and during treatment with tofersen. (A) Serum NfL; (B) CSF pNFH. CSF pNFH, CSF neurofilament heavy chain in CSF; serum NfL, serum neurofilament light chain in serum.
Clinical functional outcomes. Changes in ALSFRS‐R, HHD, FIM motor score, 10MWT, TUG, and 30‐s sit to stand. All panels reflect changes from initial assessment to the last measured value. (A) ALSFRS‐R Total Score; (B) FIM Motor Score; (C) Handheld Dynamometry Total Score; (D) 10MWT; (E) TUG; (F) 30‐s sit to stand. 10MWT, 10‐meter walk test; ALSFRS‐R, ALS Functional Rating Scale‐Revised; FIM, functional independence measure; HHD, handheld dynamometry; m/s, meters per second; TUG, timed up and go. Expected; expected ALSFRS‐R is progression rate at start of tofersen treatment × months on treatment. For figures (C) through (F) Patient 2 used front wheeled walker a rollator and left ankle foot orthosis, Patient 3 used a right ankle foot orthosis, Patient 4 used a rollator and bilateral ankle foot orthoses, and Patient 7 used a right ankle foot orthosis as needed for functional tasks.
Tofersen treatment leads to sustained stabilization of disease in SOD1 ALS in a “real‐world” setting

January 2025

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6 Reads

Objective Patients with amyotrophic lateral sclerosis (ALS) caused by superoxide dismutase 1 (SOD1) gene mutations (SOD1 ALS) treated with tofersen have shown slowing of disease progression, and disease stabilization with recovery of function in some patients. We report our clinical experience with treating patients with SOD1 ALS and the effects of tofersen on outcome measures. Methods This was a single‐center observational study of patients with SOD1 ALS receiving treatment with tofersen. The effects of tofersen treatment on neurofilament levels, muscle strength, and clinical outcome measures were assessed. Several patients had outpatient neuromuscular rehabilitation in addition to tofersen treatment and we report changes in functional outcomes. Results Seven SOD1 ALS patients received treatment at our institution. All patients showed robust and sustained declines in serum NfL and CSF pNFH (mean change serum NfL: −57.9%; mean change CSF pNFH: −67.6%). There was apparent disease stabilization as assessed by the ALSFRS‐R total score, mean change 1.1 (SD = 0.7). There was notable improvement in functional independence measured by the FIM motor score, mean change 5.13 points (SD = 3.85). Interpretation This study provides evidence that tofersen treatment in SOD1 ALS can lead to meaningful preservation of function and suggestions of sustained improvement in neurologic function in some patients, and strongly supports the role of neurofilaments as therapeutic biomarkers.


The unadjusted relationships between GI/GL and ALSFRS‐r total score change from baseline to 3‐month follow‐up among those with or without riluzole treatment were examined with scatter plots and regression lines. Negative correlations were noted in all plots while the slopes were steeper in the riluzole treatment group compared to the no‐riluzole group for both GI and GL.
The unadjusted relationships between GI or GL quartile groups and ALSFRS‐r total score change from baseline to 3‐month follow‐up among those with or without riluzole treatment are plotted (median, first and third quartiles, 1.5*Interquartile range, outliers). Range of GI quartiles: first (30.3–47.2); second (47.2–49.7); third (49.7–52.0); fourth (52.0–61.7). Range of GL quartiles: first (3.5–59.5); second (59.5–80.6); third (80.6–109.5); fourth (109.5–284.9).
The estimated slopes of ALSFRS‐r over a 24‐month follow‐up period by GI values (mean‐2 standard deviation (SD), mean, mean + 2SD) stratified by the riluzole group. Slower slopes of decline were noted with high GI compared to low GI (+2SD vs ‐2SD) in both groups, with more prominent differences among the riluzole treatment group [−0.97 vs −1.37, p < 0.01] than no‐riluzole group [−1 vs −1.2, p < 0.01].
Interaction between riluzole treatment and dietary glycemic index in the disease progression of amyotrophic lateral sclerosis

January 2025

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3 Reads

Objective We examined whether riluzole treatment modifies the associations between the dietary glycemic index (GI) and load (GL) and disease progression in amyotrophic lateral sclerosis (ALS). Methods Sporadic ALS patients in the Multicenter Cohort Study of Oxidative Stress who completed a baseline food frequency questionnaire were included (n = 304). Interactions between baseline riluzole treatment and GI/GL on functional decline and tracheostomy‐free survival were examined using linear regression and Cox proportional hazard models adjusted for covariates. Age, sex, disease duration, diagnostic certainty, body mass index, bulbar onset, revised ALS functional rating scale (ALSFRS‐r) total score, and forced vital capacity, from baseline were included as covariates. Results Baseline higher GI and GL were associated with less decline of ALSFRS‐r total score at 3‐month follow‐up in the riluzole treatment group (RTG) but not in the no‐riluzole group (NRG). When quartile groups were used, GI second [β = −1.9, 95% CI (−4.1, −0.2), p = 0.07], third [β = −3.0, 95% CI (−5.1, −0.8), p < 0.01] and fourth [β = −2.2, 95% CI (−4.3, −0.01), p < 0.05] quartile groups were associated with less ALSFRS‐r decline at 3‐months compared to the first quartile group (GI < 47.2) among the RTG. Similarly, GL fourth quartile group (GL > 109.5) was associated with less ALSFRS‐r decline at 3 months compared to the first quartile group [β = −2.6, 95% CI (−4.7, −0.5), p < 0.05] among the RTG. In NRG, no statistically significant differences in ALSFRS‐r decline were found among GI/GL quartile groups. Interpretation High dietary GI and GL are associated with a slower functional decline only among ALS patients taking riluzole.


Overview of episodic memory paradigms and the two common post‐encoding consolidation analysis approaches. (A) Overview of the experimental structures where subjects undergo MRI scanning, including baseline resting state scan, encoding scans while the participants perform memory encoding tasks, immediate rest scans, and memory tests. (B) Analysis of hippocampal multivoxel activation patterns during encoding and matching these patterns with the post‐encoding rest patterns using MVPA. (C) An approach for assessing consolidation‐related dynamics of hippocampus connectivity from baseline to post‐encoding rest. FC, functional connectivity; MRI, magnetic resonance imaging; MVPA, multivoxel pattern analysis.
Representational similarity analysis of encoding and post‐encoding rest (unpublished data). (A) Visualization of beta‐weighted activation patterns across all voxels within the left hippocampus associated with 16 visual stimuli. Activation patterns for each stimulus were extracted and voxel‐wise correlations were computed between encoding and post‐encoding rest periods. (B) The left panel shows the correlation matrix derived from the beta‐weighted activation patterns and neural activity patterns during immediate post‐encoding rest. The middle panel highlights potential neural replay by applying a threshold of mean + 1.5 standard deviations. The right panel depicts the sum of potential replay events, which may be further analyzed to investigate the relationship between neural replay and memory performance.
Reactivation and consolidation of memory traces during post‐encoding rest across the adult lifespan

Episodic memory is a critical cognitive function that enables the encoding, storage, and retrieval of new information. Memory consolidation, a key stage of episodic memory, stabilizes this newly encoded information into long‐lasting brain “storage.” Studies using fMRI to investigate post‐encoding awake rest holds promise to shed light on early, immediate consolidation mechanisms. Here, we review fMRI studies during episodic memory to document common methods to investigate post‐encoding consolidation, such as multivoxel pattern analysis (MVPA) and functional connectivity, and the current state of the science in both healthy younger and older adults. In young adults, post‐encoding reactivation of stimuli‐specific neural patterns in the hippocampus and its connectivity with cortical and subcortical areas (e.g., visual‐temporal cortex, medial prefrontal, and medial parietal cortex) correlate with subsequent memory performance. Conversely, studies in older adults highlight the importance of large‐scale brain networks during post‐encoding rest, particularly the default mode network (DMN). Alterations in connectivity between the DMN and task‐positive networks may help older adults maintain episodic memory. Furthermore, non‐invasive brain stimulation techniques can enhance these post‐encoding consolidation processes and improve memory performance in both younger and older adults. Notably, a lack of studies has investigated post‐encoding memory consolidation in neurodegenerative disorders. This review underscores the importance of understanding how post‐encoding neural reactivation and connectivity evolve with age to partially explain age‐related declines in episodic memory performance and how such declines can be restored.



Venn diagrams showing the distribution of the five main symptom clusters (behavior, psychosis, sleep disturbances, mood symptoms, and catatonia) in all cause encephalitis (A) as well as divided by etiology into viral (B), autoimmune (C), unknown (D), and other (E). Venn diagrams were made by using InteractiVenn online software, inputting the patients that exhibited each symptom cluster and creating overlapping groups that show the number of patients who exhibit multiple symptoms. Behavior was the most common symptom in all cause encephalitis, and autoimmune etiology showed the most symptom overlaps.
Psychiatric manifestations of encephalitis

January 2025

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4 Reads

Objective Encephalitis is a serious and potentially life‐threatening condition of infectious or autoimmune cause. We aim to characterize the frequency and clinical spectrum of presenting psychiatric symptoms in encephalitis in order to inform earlier recognition and initiation of treatment. Methods This was a retrospective study of adult patients who met the 2013 International Encephalitis Consortium (IEC) and/or 2016 Graus criteria between February 2005 and February 2023. The study included two hospital systems in Houston, Texas, and Baltimore, Maryland and included a total of 642 patients. Psychiatric manifestations were grouped into five high‐level categories: behavior, psychosis, mood, sleep disturbances, and catatonia. Results In our cohort of 642 patients, 318 (49.6%) had psychiatric symptoms at the time of initial presentation, including 78.2% with autoimmune etiologies and 35.2% with viral etiologies (P < 0.001). Those with psychiatric symptoms were younger (median age 47.5 vs. 51.5; P < 0.001), and more likely to have a history of documented psychiatric disorders, as well as longer lengths of hospital stay, and poorer discharge outcomes. Of patients initially admitted to a psychiatric service (n = 28), most had autoimmune causes, although 3 out of 28 (10.7%) had herpes viral infections; admission to a psychiatric service was associated with substantially longer interval to initiation of antivirals and immunotherapy. Autoimmune and infectious etiologies differed in the spectrum and frequency of psychiatric manifestations. Interpretation Psychiatric symptoms are common across etiologies of encephalitis and are associated with longer lengths of hospital stay and worse clinical outcomes. Specific patterns and dimensionality of psychiatric symptoms distinguish autoimmune from infectious causes.


Flowchart illustrating identification of participants. Numbers of people with and without psoriasis do not sum to the total number of individuals included in each cohort. Individuals who were subsequently diagnosed with psoriasis could be included in the matched comparison cohort up until the date of their first psoriasis diagnosis.
Hazard ratios (95% CI) comparing hazards of dementia in people with psoriasis to a matched population without. Fitted to individuals with complete data for all variables included in each model and from valid matched sets (matched sets including one psoriasis‐exposed individual and at least one unexposed comparator without psoriasis). Number of individuals (n), person‐years, number of outcomes (events) and absolute rate per 1000 person‐years are given for people with psoriasis. The rate difference per 1000 person‐years (with 95% confidence intervals) between people with and without psoriasis is calculated as the rate in those with psoriasis minus the estimated rate in those without psoriasis (rate in those with psoriasis × [1/hazard ratio]). Models: 1. (min. adj. [age, sex, practice]): Implicitly adjusted for age, sex, and general practice (due to underlying timescale and matching); 2. (+ IMD, calendar period): Additionally adjusted for deprivation via quintiles of the Index of Multiple Deprivation (IMD) and calendar period (1997–2003, 2004–2011, 2012–2013, 2014–2015, 2016–2019, 2020–2021); 3. (+ comorbidities): Additionally adjusting for chronic comorbidities where we feel there is convincing evidence that they act as confounders (i.e., chronic liver disease, chronic lung disease, cardiovascular disease, cerebrovascular disease, diabetes mellitus, depression, high cholesterol, hypertension, and CKD); 4. (+ ethnicity): Additionally adjusted for ethnicity.
Hazard ratios (95% CI) comparing hazards of dementia in people with incident psoriasis to a matched population without, including interaction with follow‐up time in 5‐year bands. Results are from a cohort of incident psoriasis and comorbidity‐adjusted models (adjusted for age, sex, and general practice due to underlying timescale and matching, and quintiles of the Index of Multiple Deprivation, calendar period, chronic liver disease, chronic lung disease, cardiovascular disease, cerebrovascular disease, diabetes mellitus, depression, high cholesterol, hypertension, and CKD). Fitted to individuals with complete data for all variables included in each model and from valid matched sets (matched sets including one psoriasis‐exposed individual and at least one unexposed comparator without psoriasis). Number of individuals (n), person‐years, number of outcomes (events) and absolute rate per 1000 person‐years are given for people with psoriasis. The rate difference per 1000 person‐years (with 95% confidence intervals) between people with and without psoriasis is calculated as the rate in those with psoriasis minus the estimated rate in those without psoriasis (rate in those with psoriasis × [1/hazard ratio]).
Hazard ratios (95% CI) comparing hazards of dementia in people with mild/moderate psoriasis, or severe psoriasis to a matched population without. Fitted to individuals with complete data for all variables included in each model and from valid matched sets (matched sets including one psoriasis‐exposed individual and at least one unexposed comparator without psoriasis). Number of individuals (n), person‐years, number of outcomes (events) and absolute rate per 1000 person‐years are given for people with psoriasis. The rate difference per 1000 person‐years between people with and without psoriasis is calculated as the rate in those with psoriasis minus the estimated rate in those without psoriasis (rate in those with psoriasis × [1/hazard ratio]). Models: 1. (min. adj. [age, sex, practice]): Implicitly adjusted for age, sex, and general practice (due to underlying timescale and matching); 2. (+ IMD, calendar period): Additionally adjusted for deprivation via quintiles of the Index of Multiple Deprivation (IMD) and calendar period (1997–2003, 2004–2011, 2012–2013, 2014–2015, 2016–2019, 2020–2021); 3. (+ comorbidities): Additionally adjusting for chronic comorbidities where we feel there is convincing evidence that they act as confounders (i.e., chronic liver disease, chronic lung disease, cardiovascular disease, cerebrovascular disease, diabetes mellitus, depression, high cholesterol, hypertension, and CKD); 4. (+ ethnicity): Additionally adjusted for ethnicity.
Psoriasis and dementia: A population‐based matched cohort study of adults in England

January 2025

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6 Reads

Objective Evidence for an association between psoriasis and dementia is limited and conflicting. We aimed to investigate the association using large and representative population‐based data and describe risk by dementia subtype and over time. Methods We compared dementia risk between people with and without psoriasis using an age‐, sex‐ and primary care practice‐matched cohort of adults aged ≥40 years from the Clinical Practice Research Datalink Aurum in England (1997–2021) linked to hospital admissions data, analysed with stratified Cox regression. Results Among 360,014 individuals with psoriasis and 1,799,617 without, psoriasis was associated with a small increased risk of all‐cause dementia (adjusted hazard ratio [aHR] 1.06, 95% CI 1.04–1.08; absolute rate difference 24 per 100,000 person‐years). Strength of association increased with time since psoriasis diagnosis (e.g. aHR 0.99, 0.96–1.03 within 0 to 5 years; 1.20, 1.05–1.37 within 20 to 25 years). The association was stronger for vascular dementia (aHR 1.10, 1.06–1.14) than Alzheimer's dementia (aHR 1.03, 1.00–1.06). Hazard ratios were larger for severe psoriasis (all‐cause aHR 1.32, 1.25–1.39; vascular aHR 1.58, 1.44–1.74; Alzheimer's aHR 1.11, 1.02–1.21). Interpretation Long‐term risk of all‐cause dementia and vascular dementia, but not Alzheimer's dementia, was slightly higher in people with psoriasis, but absolute risk differences were small. Risks were more substantially raised with time since psoriasis diagnosis and in severe psoriasis compared to mild to moderate psoriasis, suggesting a potential dose–response relationship.


Kaplan–Meier curves comparing (A) time to clinical relapse and (B) time to subclinical relapse (MRI relapse only) by PwMS+ICIs and matched MS controls. Red lines indicate PwMS+ICIs and blue lines indicate matched PwMS controls.
Inflammatory disease in people with multiple sclerosis treated with immune checkpoint inhibitors

December 2024

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7 Reads

This study evaluated disease activity in people with Multiple Sclerosis (PwMS) who received immune checkpoint inhibitors (ICIs) compared to PwMS not treated with ICIs. There were 108 PwMS included (27 PwMS+ICIs and 81 PwMS controls), matched on age, sex, disease duration, DMTs, and MS disease course. Of 27 PwMS+ICIs, one (4%) had a relapse and four (15%) developed new MRI lesions without clinical symptoms. Time to relapse and MRI activity were compared using Kaplan–Meier curves and Cox regression models. There was no significant difference for either time to relapse (p = 0.34) or MRI activity (p = 0.15) in PwMS+ICIs compared to controls.


Kaplan–Meier curves showing overall survival.
Refractory myasthenia gravis treated with autologous hematopoietic stem cell transplantation

December 2024

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8 Reads

Objectives Patients with refractory myasthenia gravis (MG) have few treatment options. Autologous hematopoietic stem cell transplantation (HSCT) has been used to treat immune diseases; however, its use in the treatment of MG is not broadly considered. Our objective is to report on the efficacy and safety of HSCT in refractory MG. Methods Twenty‐one patients who underwent HSCT for MG were retrospectively reviewed. All patients had severe MG refractory to multiple therapies. Stem cells were mobilized with cyclophosphamide and granulocyte colony‐stimulating factor. The grafts were depleted of immune cells by selecting CD34+ cells. HSCT conditioning consisted of high‐dose cytoreductive therapy and anti‐thymocyte globulin. The primary efficacy outcome was achieving clinically stable remission or minimal manifestations without treatment and remaining as such until most recent follow‐up. Results The median time from MG diagnosis to HSCT was 4.0 years. The primary outcome was reached in 16 of 18 evaluable patients (89%) at a median of 1.7 years and maintained with a median follow‐up of 6.7 years (range 1.0–21.9 years). Three patients were not evaluable for the primary outcome: one due to confounding illness and two died within 12 months of transplant. The transplant‐related mortality at 100 days was 9.5%. Two late deaths occurred, with uncertain relation to the HSCT. Interpretation After HSCT for refractory MG, most patients achieved sustained disease remission. However, HSCT‐related mortality in medically complex MG patients may be high. Prospective studies investigating the efficacy and safety of HSCT in the treatment of refractory MG are warranted.


Interictal EEG findings. Slow background activity with generalized multifocal spikes (blue box), multi‐spikes (red arrow), and epileptoid waves.
Molecular findings in the epilepsy family. (A) Sanger sequencing confirmed a heterozygous variation in the GABRA2 gene (NM_000807: c.923C>T, p.Ala308Val) in the proband, while both parents exhibit the wild‐type allele. (B) The GABRA2 variant Ala308Val is positioned in the extracellular region between M2 and M3 (indicated by the red arrow), whereas previously reported variants are primarily located in the transmembrane region (indicated by green circles).
Analysis of GABAAR pentameric structure. (A) A pentameric model featuring 2 α2 subunits (GABRA2), 2 β3 subunits (GABRB3), and 1 γ2 subunit (GABRG2). (B) The structure is rotated 90 degrees for a top‐down view. In the wild‐type GABRA2, Ala308 forms hydrogen bonds with Pro209 of GABRB3 and with another GABRA2 protein at position 238 of GABRG2. (C) In the mutated GABRA2 (p.Ala308Val), the longer valine side chain disrupts these hydrogen bonds, potentially altering structural stability.
Subcellular localization of the GABRA2 Variant in 293T Cells. GABRA2 with FLAG‐tag (green), calnexin antibody (red, ER marker), and DAPI (blue, nuclear counterstaining). Confocal microscopy indicated that both wild‐type and variant proteins localized to ER vesicles, but the variant showed reduced expression and weaker fluorescence. Normalized relative fluorescence intensity analysis revealed significant differences between GABRA2‐WT and GABRA2‐MUT groups, ***P < 0.001.
In vitro functional assay. (A) Western blotting analysis indicated that the GABRA2‐MUT group exhibited protein expression, but it was significantly lower than the GABRA2‐WT group, with a reduction of approximately 70.62% (***P < 0.001). (B) CO‐IP results showed that wild‐type GABRA2 interacted with GABRB3/GABRG2, while the mutant may disrupt this interaction. The right panel presents normalized CO‐IP analysis, ***P < 0.001.
A novel de novo GABRA2 gene missense variant causing developmental epileptic encephalopathy in a Chinese patient

December 2024

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1 Read

Background Variants in the GABRA2 gene, which encodes the α2 subunit of the γ‐aminobutyric acid A receptor, have been linked to a rare form of developmental and epileptic encephalopathy (DEE) referred to as DEE78. Only eight patients have been reported globally. This study presents the clinical presentation and genetic analysis of a Chinese family with a child diagnosed with DEE78, due to a novel GABRA2 variant. Methods Genetic diagnosis was performed using trio‐whole exome sequencing, followed by bioinformatics predictions of pathogenicity. Structural modeling assessed the potential impact of the variant. A mutant plasmid was constructed and transfected into 293 T cells. Western blotting (WB) was used to evaluate mutant protein expression, while co‐immunoprecipitation (Co‐IP) analyzed interactions with GABRB3 and GABRG2 proteins. Immunofluorescence (IF) assessed the subcellular localization of the mutant protein. Results The 6‐year‐old male proband presented with seizures starting at age two, along with global developmental delay and hypotonia. Genetic testing revealed a heterozygous de novo variant in GABRA2 gene (NM_000807: c.923C>T, p.Ala308Val). Structural modeling suggested that this variant is located within the extracellular domain, which may disrupt hydrogen bonding interactions with GABRB3 and GABRG2. WB and Co‐IP showed reduced protein expression and impaired interactions, potentially destabilizing the pentamer receptor complex. If analysis revealed that the variant did not affect subcellular localization. Conclusion This study identified a novel likely pathogenic GABRA2 extracellular domain variant in a Chinese family causing the DEE phenotype. The results expand the genotypic and phenotypic spectrum of GABRA2‐related DEE.


CPT1C (NM_001199753.2) variant distribution. Schematic of documented variant locations on gene and protein structure with colored dots representing coding impact. Novel variants are labeled in red.
Expanding molecular and clinical spectrum of CPT1C‐associated hereditary spastic paraplegia (SPG73)—a case series

December 2024

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9 Reads

Autosomal‐dominant variants in the CPT1C gene have been associated with hereditary spastic paraplegia type 73 (SPG73), which typically presents with slowly progressive lower limb weakness and spasticity and is therefore considered a pure form of hereditary spastic paraplegia. However, we report two unrelated males with novel CPT1C variants (NM_001199753.2: patient 1: c.2057_2061del (p.Ile686SerfsTer8) and patient 2: c.2020‐1G>C (p.?)) who presented with lower limb spasticity at 4 and 3 years old, respectively. Both patients also experienced significant cognitive impairment, seizures, or neurobehavioral symptoms. These cases illustrate a broader and more complex clinical spectrum of SPG73, extending beyond the traditionally recognized pure motor symptoms.


Ofatumumab treatment in new‐onset narcolepsy type 1 following SARS‐CoV‐2 infection

Objectives To explore the efficacy of ofatumumab in new onset narcolepsy type 1 following SARS‐CoV‐2 infection. Methods We present a 9‐year‐old girl who experienced new onset narcolepsy type 1 following SARS‐CoV‐2 infection. Polysomnography (PSG) followed by a daytime multiple sleep latency test (MSLT) was under taken after admission. A lumbar puncture was performed to evaluate the CSF orexin‐A level. We assessed the CSF hypocretin‐1 concentration utilizing the RIA kit from Phoenix Pharmaceuticals Inc. HLA typing was performed. Furthermore, we treated the patient with subcutaneous injections of ofatumumab, and followed her for nearly six‐month. The CSF orexin‐A level, CD19+ and total B cell population were measured before and after treatment. Results The girl had experienced SARS‐CoV‐2 infection 4 months before presentation. After that, she started to experience excessive daytime sleepiness and cataplexy. She also began to experience nightmares and violent behaviors during her nocturnal sleep, which were not present before her SARS‐CoV‐2 infection. At the same time, she developed obesity and exhibited psychiatric symptoms such as agitation, anxiety, and aggression. MSLT showed a mean sleep latency of 2.7 min, and 5 times sleep onset REM periods. The CSF orexin‐A level was pathologically low at 34.06 pg/mL, and she tested positive for HLA‐DQB1*06:02. Consequently, a diagnosis of narcolepsy type 1 was confirmed. Before and after treatment with subcutaneous injections of ofatumumab, the CD19+ and total B cell population before treatment and after 1 months showed a significant reduction from 11% and 296 cells per microliter to 0.56% and 11 cells per microliter, respectively. Within a week following ofatumumab therapy, there was a marked improvement in both excessive daytime sleepiness and cataplexy. Notably, her cataplexy was almost entirely resolved following ofatumumab therapy. Her condition remained stable throughout the 9‐month follow‐up period. She could normally attend school. Interpretation The efficacy of ofatumumab in this case provides additional support for an autoimmune etiology in narcolepsy with cataplexy, highlighting the potential involvement of B‐cells in its pathophysiology. This understanding will aid in the development of specific immunotherapeutic strategies for early implementation upon disease onset.


Standardized weighted cumulative hazard curves comparing the efficacy of different transfusion strategies in TBI. (A) Clinical progression assessed by Glasgow comma scale decrease by at least 2 points; (B) all‐cause mortality. TBI, traumatic brain injury.
Subgroup analyses of the main outcomes stratified by hemodynamic indicators. (A–C) Clinical progression; (D–F) all‐cause mortality.
Standardized weighted cumulative hazard curves comparing the safety of different transfusion strategies in TBI. (A) Any suspected infection; (B) sepsis; (C) ARDS; (D) coagulopathy. ARDS, acute respiratory distress syndrome; TBI, traumatic brain injury.
Real‐world efficacy of transfusion with liberal or restrictive strategy in traumatic brain injury

December 2024

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15 Reads

Objective The short‐term efficacy of red blood cell (RBC) transfusion among general traumatic brain injury (TBI) patients is unclear. Methods We used the MIMIC database to compare the efficacy of liberal (10 g/dL) versus conservative (7 g/dL) transfusion strategy in TBI patients. The outcomes were neurological progression (decrease of Glasgow coma scale (GCS) of at least 2 points) and death within 28 days of ICU admission. Each eligible individual was cloned and assigned each of the replicates to one of the treatment arm. The imbalance induced by informative censoring was adjusted by inverse probability weighting. The standardized, weighted pooled logistic regression with 500 bootstrap resampling was used to estimate the cumulative risk difference and 95% confidence interval (CI). Results Of the 1141 eligible individuals, 29.0% received RBC transfusion. Compared with the restrictive group, the liberal strategy reduced early death (3 days: 5%, 95% CI: 2%–7%; 7 days: 6%, 95% CI: 3%–11%); however, no significant difference of mortality risk at 28‐day or neurological progression risk at any time points was observed. The risk of coagulopathy at 3 days was increased by 7% (95% CI: 1%–19%) in the liberal group. The subgroup analysis indicated a beneficial effect of liberal transfusion on mortality in hemodynamically unstable patients. Interpretation Compared with the restrictive strategy, the liberal strategy does not improve the short‐term neurological prognosis and death among patients with TBI in a real‐world situation. The liberal strategy may be beneficial to survival at very early stage or in hemodynamically unstable subgroup.


(A and B) axial MRI slices, in SWI sequence, from 2017 and 2023, respectively, which identify the existence of superficial siderosis (arrows), small subcortical microbleeds (circle), and intraparenchymal left temporal hematoma (*). Consistent with the diagnosis of probable cerebral amyloid angiopathy and significant progression between both studies. (C) Cerebral angiography showing moderate stenosis of the parietoocipital artery (circle). (D) Histological features of dura mater biopsy (Congo Red stain). Positive for amyloid deposition in the dura mater vessel (arrow). (E) Brain biopsy (hematoxylin‐eosin stain). The brain tissue shows reactive astrocytosis and neuropil edema. Vascular walls show hemosiderophages, lymphocytes, and plasma cells. (F) Axial section of 18F‐florbetaben PET‐CT scan. Isotope uptake in all the cortical reference areas.
(A) Axial CT scan showing a left frontal hematoma (arrow), with surrounding edema. There is also a focus of SAH in the ipsilateral parietal convexity sulci (circle). (B) Cerebral angiography with selective run of the left vertebral artery, showing multiple changes and irregularities in the parito‐occipital branches of the posterior cerebral arteries (arrows). (C and D) Axial section of noncontrast CT (C) and coronal FLAIR MRI (D) showing an acute, heterogeneous, right frontotemporal hematoma (circles). The FLAIR image also shows sequelae of the previous hemorrhagic lesion (arrow), together with diffuse alteration of the white matter signal. (E) MRI, FFE T2* sequence showing sequelae of lobar intraparenchymal hemorrhages, together with cortical siderosis (arrows) and small microbleeds. (F) Axial section of 18F‐florbetaben PET‐CT scan. Isotope uptake in all the cortical reference areas.
(A and D) axial MRI slices, T2*GRE, showing slight progression with the appearance of SAH in the right frontal convexity (Image A, arrows) and cortical microbleeds, not present in previous study (D). (B) axial DWI MRI sequence, showing an acute ischemic lesion in right corona radiata (arrow). (C) Cerebral angiography, showing multiple stenoses in medium and small arteries of the anterior circulation (arrows). (E) Axial section of 18F‐florbetaben PET‐CT scan. Cortical amyloid deposition in some reference areas, frontal and bilateral temporal. (F) Peritoneal biopsy. Congo red stain shows apple green birefringence under polarized light.
Iatrogenic cerebral amyloid angiopathy and Alzheimer's disease co‐pathology

December 2024

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17 Reads

Iatrogenic cerebral amyloid angiopathy, a disease caused by contact with neurosurgical material or human growth hormone contaminated by beta‐amyloid peptide (Aβ), has a prion‐like transmission mechanism. We present a series of three patients under 55 years of age who underwent cranial surgery. All of them developed multiple cerebral hemorrhages, transient focal neurological deficits, and/or cognitive impairment after 3–4 decades. MRI was compatible with CAA, and Aβ deposition was confirmed. The third patient, who had a ventriculoperitoneal valve, also showed Aβ deposition in the peritoneum and diagnostic biomarkers of Alzheimer's disease. Co‐pathology with Alzheimer disease and its iatrogenic transmission should be considered.


Schematic overview of mediation analysis. (A) Displays the schematic concept of a mediation analysis: a = the path from the determinant to the mediator, b = the path from the mediator to the outcome, and c = the direct path (i.e., direct effect) from the determinant to the outcome variable. The indirect path (i.e., indirect effect) in a mediation analysis consists of the paths a and b. The total effect in a mediation analysis is c + (a × b). (B) Displays the mediation analyses including confounders performed in present study. NA, normal‐appearing.
Distribution of cortical lesions across cortical networks. Swarm plots of cortical lesion volumes in the entire cortex (referred to as “global”) and in each individual cortical network in people with multiple sclerosis, divided in three cognitive subgroups: cognitively preserved (CP), mildly cognitively impaired (MCI), and cognitively impaired (CI) patients. Brackets with adjusted P‐values denote significant differences in log‐transformed cortical lesion volume between groups. Detailed statistics are reported in Table S4. DAN, dorsal attention network; DMN, default mode network; FPN, frontoparietal network; SMN, sensorimotor network; VAN, ventral attention network.
Relationship between cortical lesion volume and cortical measures. Whole‐brain cortical thickness Z‐score (left) and whole‐brain normalized cortical volume (right) are shown on the x‐axis, log‐transformed total cortical lesion volume on the y‐axis. Regression plots are displayed for the entire sample of people with multiple sclerosis (A) and for each cognitive subgroup separately (B). Unstandardized B with corresponding 95% confidence intervals (CI) and unadjusted P‐values are displayed in both subplots. people with multiple sclerosis without cortical lesions were excluded from the regression analyses, and therefore not shown in the figure.
Baseline cortical thickness and volume among cognitive subgroups at 5‐year follow‐up. Violin plots of the mean cortical thickness (A) of the entire cortex (referred to as “global”) and the normalized cortical volume (B) of the entire cortex and in each individual cortical network in people with multiple sclerosis, divided in three cognitive subgroups: cognitively preserved (CP), mildly cognitively impaired (MCI), and cognitively impaired (CI) patients. Violin plots are split based on the division of cortical regions with cortical lesions (referred to as “lesional”) and without cortical lesions (“normal‐appearing”). Brackets with adjusted P‐values denote significant differences in log‐transformed cortical lesion volume between groups. Detailed statistics are reported in Table S6. DAN, dorsal attention network; DMN, default mode network; FPN, frontoparietal network; SMN, sensorimotor network; VAN, ventral attention network.
Prediction of cortical normalized volumes for cognitive functioning at 5‐year follow‐up. Results of the linear regression models based on forward selection. Age, sex, level of education, and baseline cognitive functioning were entered in a single step in the first block (results not reported), after which the significant volumetric MR variables [normalized volumes of normal‐appearing (NA) cortex of default mode (DMN), dorsal attention (DAN), limbic, sensorimotor, and ventral attention (VAN) networks] were entered by means of a forward stepwise selection approach. Unstandardized B with corresponding 95% confidence intervals and P‐values of the MR variables included in the final model are displayed in subplots, per cognitive domain. Significant P‐values surviving Bonferroni correction for multiple testing (P < 6.25⋅10⁻³) are marked in bold. EF, executive functioning.
Cortical lesions impact cognitive decline in multiple sclerosis via volume loss of nonlesional cortex

December 2024

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12 Reads

Objective To assess the interrelationship between cortical lesions and cortical thinning and volume loss in people with multiple sclerosis within cortical networks, and how this relates to future cognition. Methods In this longitudinal study, 230 people with multiple sclerosis and 60 healthy controls underwent 3 Tesla MRI at baseline and neuropsychological assessment at baseline and 5‐year follow‐up. Cortical regions (N = 212) were divided into seven functional networks. Regions were defined as either lesional or normal‐appearing cortex based on presence of a cortical lesion on artificial intelligence‐generated double inversion‐recovery scans. Cortical volume and thickness were determined within lesional or normal‐appearing cortex. Results Prevalence of at least one cortical lesion was highest in the limbic (73%) followed by the default mode network (70.9%). Multiple sclerosis‐related cortical thinning was more pronounced in lesional (mean Z‐score = 0.70 ± 0.84) compared to normal‐appearing cortex (−0.45 ± 0.60; P < 0.001) in all, except sensorimotor, networks. Cognitive dysfunction, particularly of verbal memory, visuospatial memory, and inhibition, at follow‐up was best predicted by baseline network volume of normal‐appearing cortex of the default mode network [B (95% CI) = 0.31 (0.18; 0.43), P < 0.001]. Mediation analysis showed that the effect of cortical lesions on future cognition was mediated by volume loss of the normal‐appearing instead of lesional cortex, independent of white matter lesion volume. Interpretation Multiple sclerosis‐related cortical thinning was worse in lesional compared to normal‐appearing cortex, while volume loss of normal‐appearing cortex was most predictive of subsequent cognitive decline, particularly in the default mode network. Mediation analyses indicate that cortical lesions impact cognitive decline plausibly by inducing atrophy, rather than through a direct effect.


(A) Frequent clinical features associated with autoimmune brainstem encephalitis (B) Pie chart demonstrating neural antibody frequency among patients with autoimmune brainstem encephalitis. AGNA, anti‐glial neuronal nuclear antibody; ANNA, antineuronal nuclear antibody; AQP4, aquaporin‐4; CRMP, collapsin‐response mediator protein; DPPX, dipeptidyl aminopeptidase‐like protein; GAD, glutamic acid decarboxylase; ITPR, inositol 1,4,5‐triphosphate receptor; KLHL‐11, Kelch‐like protein 11; MOG, myelin oligodendrocyte glycoprotein; NIF, neuronal intermediate filament; NMDA‐R, N methyl D aspartate receptor; PCA, Purkinje cell cytoplasmic antibody; PDE10A, phosphodiesterase 10A.
Selection of MRI abnormalities from patients with autoimmune brainstem encephalitis. (A) Axial T2 FLAIR image demonstrating midbrain signal change and bilateral mesial temporal lobe signal changes in a 46‐year‐old male with subacute onset ptosis, ophthalmoplegia and ataxia, positive for Ma2‐IgG. (B) Coronal gadolinium‐enhancing lesions affecting brainstem and cerebellum in 27‐year‐old female with MOGAD. (C) Axial T2 FLAIR signal change of cerebellum in a 50‐year‐old male with sensorineural hearing loss, diplopia, vertigo, and cerebellar ataxia and positive for KLHL11‐IgG. (D) Sagittal T2 image demonstrating severe brainstem and cerebellar atrophy (arrows) in a 20‐year‐old male with diplopia and ataxia, positive for ITPR‐1‐IgG. (E) Axial T2 FLAIR signal change involving the medulla in 10‐year‐old boy with GAD65‐IgG‐associated brainstem encephalitis. (F) Coronal T2image demonstrating signal change in left medulla (arrow) of 28‐year‐old male with autoimmune brainstem encephalitis associated with Ma2‐IgG and embryonal cell carcinoma of testis. (G) Axial T2 FLAIR image demonstrating signal change in dorsal pons in a 53‐year‐old female with AQP4 + NMOSD. (H) Axial T2 signal change in the medullary olives consistent with bilateral hypertrophic olivary degeneration in a 44‐year‐old male with palatal myoclonus, positive for KLHL‐11 IgG. (I) Coronal T2 FLAIR signal change affecting medulla, pons and cerebellum in 48‐year‐old woman with autoimmune brainstem encephalitis associated with NMDA‐R, GAD65 and GQ1B‐IgGs. (J) Axial T2 signal change in the dorsal pons in 45‐year‐old male with KLHL‐11‐IgG‐associated rhombencephalitis and germ cell tumor of testis.
Kaplan–Meier curves estimating time to wheelchair dependence in patients with autoimmune brainstem encephalitis and subgroups. Progression to wheelchair dependence was faster among patients who were immunotherapy refractory (A), and patients with an elevated CSF IgG index (B).
Autoimmune brainstem encephalitis: Clinical associations, outcomes, and proposed diagnostic criteria

December 2024

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123 Reads

Objective We describe neurologic phenotype, clinical associations, and outcomes in autoimmune brainstem encephalitis. Methods Medical records of neural‐IgG positive autoimmune brainstem encephalitis patients diagnosed at Mayo Clinic (January 1, 2006–December 31, 2022) were reviewed. Results Ninety‐eight patients (57 male) were included. Median age of symptom onset was 51 years (range, 8 months‐85 years). Frequent presenting features were ≥1: diplopia (80%), ataxia (78%), dysarthria (68%), vestibulocochlear symptoms (67%), dysphagia (61%), nausea/vomiting (42%), and facial weakness (32%). Altered mental status (11%) was uncommon. Neural antibodies detected were as follows: KLHL‐11 (26 patients), GAD65 (high titer, 12), ANNA‐1 (anti‐Hu, 8), ANNA‐2 (anti‐Ri, 8), Ma2 (7), IgLON‐5 (6), AQP4 (6), MOG (4), glycine receptor (4), GQ1B (4), PCA‐1 (anti‐Yo, 4), DPPX (2), neurochondrin (2), neurofilament (2), NMDA‐R (2), AGNA‐1 (SOX‐1, 1), ANNA‐3 (DACH1, 1), amphiphysin (1), CRMP‐5 (1), ITPR‐1 (1), PCA‐Tr (DNER, 1), and PDE10A (1). Cancer was identified in 55 patients: germ cell (23 patients; 3 extra‐testicular), ductal breast adenocarcinoma (8), small cell carcinoma (6, lung 4), adenocarcinomas (6), neuroendocrine carcinoma (3), hematologic (2), squamous cell (2), and other (7). Median modified Ranking score (mRS) at last follow‐up was 3 (range, 0–6). Factors associated with poor outcome included abnormal brain MRI, bulbar symptoms, and elevated CSF IgG index. Kaplan–Meier analysis revealed faster progression to wheelchair in patients who were immunotherapy refractory and with elevated CSF IgG index. Diagnostic criteria for autoimmune brainstem encephalitis (definite and probable) are proposed. Interpretation Autoimmune brainstem encephalitis is a distinct clinical subphenotype of autoimmune encephalitis. Abnormal brain MRI, bulbar symptoms, and elevated CSF‐IgG index associate with poor outcome.


Kinetics αSyn of RT‐QuIC reactions in skin, duodenum, and gut biopsies and comparison between early and advanced PD. Upper boxes A–C show the fluorescence curves of positive cases and the fluorescence signals in the negative controls, in the three biomatrices. Each curve represents the mean of positive replicates for each PD participant. The fluorescence signals of control samples are represented as the mean of the whole group. Standard deviations have been omitted to improve readability. At the bottom, violin plots show the comparison of kinetic parameters LAG (1) and Imax (2) between early and late PD groups and controls in each tissue. h, hours; LAG, time to reach the threshold; Imax, peak of maximum fluorescence intensity; PD, Parkinson disease; RFU, relative fluorescence units.
Alpha‐synuclein RT‐QuIC assay in gastroduodenal and skin biopsies of Parkinson disease patients

December 2024

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45 Reads

In this study, we compared the value of pathological alpha‐synuclein (αSyn) seed amplification assay (SAA) in gastric and duodenal biopsies with skin biopsies in Parkinson disease (PD) patients with different disease duration. The accuracy of αSyn SAA was 87.7% in skin, 67.4% in duodenum, and 80.0% in gastric biopsies, with significantly higher sensitivity in advanced PD (skin: 81.8%; gastric: 88.9%; duodenal 58.8%). Misfolded αSyn was detected with higher sensitivity in advanced PD across all matrices, likely reflecting the progression of αSyn pathology. The seeding activity was lower in the duodenal than in the gastric wall, indicating differences in αSyn burden.


Resection regions in all surgical patients. The color bar represents as the percentage of patients whose voxel was directly affected by surgery. Con, contralateral hemisphere; Ips, ipsilateral hemisphere.
Brain regions with longitudinal gray matter volume changes. The color bar represents as the F value of 2*4 mixed analysis of covariate to detect brain regions with statistically significant interaction among different groups. Con, contralateral hemisphere; Ips, ipsilateral hemisphere.
Comparisons of GMV change between groups and postoperative GMV increase. GMV change = post‐test GMV − pretest GMV. *p < 0.05, **p < 0.005 (Bonferroni correction). GMV increase (positive GMV change) in seizure‐free and nonseizure‐free patients after surgery compared with nonoperative patients and healthy controls. Asterisks framed with red lines indicate progressive GMV decrease in nonoperative patients compared with healthy controls.
Comparisons of GMV change between groups and postoperative GMV decrease. GMV change = post‐test GMV − pretest GMV. *p < 0.05, **p < 0.005 (Bonferroni correction). GMV decrease (negative GMV change) in seizure‐free and nonseizure‐free patients after surgery compared with nonoperative patients and healthy controls. Asterisks framed with blue lines represent more significant GMV decrease in seizure‐free patients compared with nonseizure‐free patients.
Progressive brain atrophy and cortical reorganization related to surgery in temporal lobe epilepsy

December 2024

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20 Reads

Objective Epilepsy is associated with progressive cortical atrophy exceeding normal aging. We aimed to explore longitudinal cortical alterations in patients with temporal lobe epilepsy (TLE) and distinct surgery outcomes. Methods We obtained longitudinal T1‐weighted MRI data in a well‐designed cohort, including 53 operative TLE patients, 23 nonoperative TLE patients, and 23 healthy controls. According to seizure outcomes at 24 months after surgery, operative patients were divided into seizure‐free (SF) and nonseizure‐free (NSF) group. Operative patients were scanned before and after surgery, while nonoperative patients and healthy controls were rescanned with similar interval times. We measured gray matter volume (GMV) in all participants and compared longitudinal cortical alterations among groups. Results In nonoperative group, statistically significant GMV decrease was observed in ipsilateral median cingulate and paracingulate gyri and cerebellum crus I when compared with healthy controls. In operative group, postoperative GMV increase was discovered in many regions involving bilateral hemispheres, especially in the frontal lobe, without differences between SF and NSF group. Postoperative GMV decrease was found in ipsilateral inferior frontal gyrus, putamen, thalamus, and insula. GMV decrease in ipsilateral inferior frontal gyrus, putamen, and insula was more significant in SF group. Interpretation Progressive cortical atrophy existed in nonoperative TLE patients. Cortical remodeling indicated by postoperative GMV increase may arise mostly from the surgery itself, rather than postsurgical seizure outcomes. More significant GMV decrease in ipsilateral inferior frontal gyrus, putamen, and insula may imply their closer connections with resected regions in seizure‐free patients.


Schematic of study design. Both AQP4‐IgG testing and G36 code analysis were undertaken to ensure NMOSD patient capture. All patients with AQP4‐IgG testing were also represented in the G36 cohort.
Yearly incidence rate of NMOSD by clinical onset (A) and by diagnosis (B).
Yearly prevalence of NMOSD diagnosis.
The epidemiology and clinical presentation of seropositive neuromyelitis optica spectrum disorder in a US population

December 2024

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7 Reads

Objective To define the epidemiology and clinical presentation of seropositive neuromyelitis optica spectrum disorder (NMOSD) in a large US health system. Methods We completed a retrospective observational study of adult patients in the University of Colorado Health System from 1 January 2011 to 31 December 2020, using Health Data Compass (HDC), a data warehouse that combines electronic health information with claims and public health data in Colorado. We screened HDC for patients with either (1) an abnormal aquaporin‐4 IgG test or (2) any G36 ICD‐10 code. We extracted key clinical elements by chart review and confirmed diagnosis by the 2015 International Panel for NMO Diagnosis criteria. Annual incidence and prevalence rates were calculated. Results Our population consisted of 2,475,591 individuals contributing 11,103,522.72 person‐years of observation. In total, 115 seropositive NMOSD patients were identified. The average yearly incidence was 0.22 per 100,000 person‐years. Age and sex‐adjusted prevalence (per 100,000) was 4.33, and highest among those identifying as Asian or Pacific Islander (17.72), and Black (14.74), as separately by Hispanic ethnicity (8.02). Prevalence was higher in women (6.20:1 female:male ratio). Transverse myelitis (45%) and optic neuritis (43%) were the most common presenting clinical syndromes. In total, 6% of initial presentations were characterized by short‐segment transverse myelitis without other features. Interpretation Seropositive NMOSD incidence is higher in our cohort than many contemporary studies. Women and those identifying as Asian or Pacific Islander, Black, and Hispanic shoulder the highest burden of disease. Clinical onset with short‐segment myelitis underscores the need for serum aquaporin‐4 IgG testing in acute myelitis presentations.


Variation in APOE alters the plasma proteome in elderly adults. (A) Schematic workflow describing sample selection and measurement of plasma samples from 53 APOE3 and APOE4 subjects from the Knight Alzheimer's Disease Research Center (WashU). CSF samples were collected from subjects by the Knight ADRC and run on Aβ42 Elecsys assays. Subjects underwent neurological examination and were classified using a Clinical Dementia Rating (CDR) score and Mini‐Mental State Examination (MMSE). Fresh blood samples and isolated plasma from APOE3 and APOE4 subjects were collected following established protocols. Relative abundance of 1305 proteins was measured using SOMAscan aptamer‐based profiling, followed by examination of APOE and amyloid‐associated effects on pathway enrichment and module‐trait relationships. (B) Male and female subjects with homozygous expression for APOE3 or APOE4 were evaluated. All participants had a CDR of 0 and MMSE score indicating the subjects did not have dementia. APOE3 subjects were either amyloid‐positive or amyloid‐negative, whereas all APOE4 subjects were amyloid‐positive, due to subject availability. (C) Volcano plot showing fold‐change of proteins (log2 scale) between APOE3 and APOE4 subjects and corresponding nominal P‐values (−log10 scale) with upregulated proteins highlighted in yellow and downregulated proteins highlighted in blue. (D) Heat map showing unsupervised hierarchical clustering of the differentially abundant proteins distinguished by APOE status. (E) Variance partitioning analysis for proteins showing individual covariate contributions to variance. (F) Covariate correlation analysis of biological and technical sources of variability. Degree to which these variables co‐vary is highlighted from white (no level of co‐variance) to red (high degree of co‐variance). Panel A was made using BioRender tools.
Plasma proteome features from amyloid‐positive APOE3 and APOE4 subjects without dementia. (A) Volcano plot showing the fold‐change of proteins (log2 scale) between APOE3 and APOE4 subjects and corresponding nominal P‐values (−log10 scale) with upregulated proteins highlighted in yellow and downregulated proteins highlighted in blue. (B) Heat map showing unsupervised hierarchical clustering of the differentially abundant proteins distinguished by APOE status following covariate adjustment using the Dream function. (C) (Upper) Number of nominally significant up‐ and downregulated proteins. (Lower) Circos plot mapping of protein family types measured in differentially abundant proteins between APOE3 and APOE4 subjects. Individual color‐coded labels indicate protein category types. (D) Top 10 differentially abundant proteins ranked by log2 fold‐change between APOE3 and APOE4 subjects following the Dream function. (E) Sample top proteins plotted using residualized Dream expression values. P‐values were calculated with Dream.
APOE4 expression alters plasma protein pathways and associated networks. (A) Pathway enrichment analysis using the Reactome database from DAVID. The top 10 pathways using EASE scores (P < 0.05) are shown with corresponding fold‐enrichment values, calculated as proportion of input proteins and total number of proteins associated with that pathway. (B and C) Gene ontology over‐representation analysis was performed using APOE4‐associated proteins for selected biological processes, cellular components, and molecular functions (MF). Selected MF terms visualized by color for significance (adjusted P‐values (FDR < 0.05)) and size for the number of represented proteins. (D) MF terms were further analyzed by a hierarchical treeplot, where distance on the plot indicates similarity, color indicates significance, and size indicates the number of proteins. (E and F) Visualization of these MF terms by gene network plots was used for further investigation.
Plasma proteome features in amyloid‐positive and amyloid‐negative, APOE3 subjects without dementia. (A) Volcano plot showing the fold‐change of proteins (log2 scale) between amyloid‐positive and amyloid‐negative subjects and corresponding nominal P‐values (−log10 scale) with upregulated proteins highlighted in yellow and downregulated proteins highlighted in blue. (B) Heat map showing unsupervised hierarchical clustering of the differentially abundant proteins distinguished by brain amyloid status following covariate adjustment using the Dream function. (C) (Upper) Number of nominally significant up‐ and downregulated proteins. (Lower) Circos plot mapping of protein family types measured in differentially abundant proteins between APOE3 subjects who are amyloid‐positive or amyloid‐negative. Individual color‐coded labels indicate protein category types. (D) Top 10 differentially abundant proteins ranked by log2 fold‐change between APOE3 amyloid‐positive and amyloid‐negative subjects following the Dream function. (E) Sample top proteins plotted using residualized Dream expression values. P‐values were calculated with Dream.
Pathway and network annotations differ between amyloid‐positive and amyloid‐negative, APOE3 subjects. (A) Pathway enrichment analysis using the Reactome database from DAVID. Top 10 pathways using EASE scores (P < 0.05) were shown with corresponding fold‐enrichment values, calculated as proportion of input proteins and total number of proteins associated with that pathway. (B and C) Gene ontology over‐representation analysis was performed using amyloid‐associated proteins for selected cellular components, molecular functions, and biological processes (BP). Selected BP terms visualized by color for significance (adjusted P‐values (FDR < 0.05)) and size for the number of represented proteins. (D) BP terms were further analyzed by a hierarchical treeplot where distance on the plot indicates similarity, color indicates significance, and size indicates the number of proteins. (E and F) Visualization of these BP terms by gene network plots was used for further investigation.
APOE genotype and brain amyloid are associated with changes in the plasma proteome in elderly subjects without dementia

December 2024

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25 Reads

Objective Recent work has bolstered the possibility that peripheral changes may be relevant to Alzheimer's disease pathogenesis in the brain. While age‐associated blood‐borne proteins have been targeted to restore function to the aged brain, it remains unclear whether other dysfunctional systemic states can be exploited for similar benefits. Here, we investigate whether APOE allelic variation or presence of brain amyloid are associated with plasma proteomic changes and the molecular processes associated with these changes. Methods Using the SOMAscan assay, we measured 1305 plasma proteins from 53 homozygous, APOE3 and APOE4 subjects without dementia. We investigated the relationship of either the APOE‐ε4 allele or amyloid positivity with plasma proteome changes by linear mixed effects modeling and ontology‐based pathway and module–trait correlation analyses. Results APOE4 is associated with plasma protein differences linked to atherosclerosis, tyrosine kinase activity, cholesterol transport, extracellular matrix, and synaptogenesis pathways. Independent of APOE4, we found that subjects likely harboring brain amyloid exhibit plasma proteome signatures associated with AD‐linked pathways, including neurovascular dysfunction. Interpretation Our results indicate that APOE4 status or presence of brain amyloid are associated with plasma proteomic shifts prior to the onset of symptoms, suggesting that systemic pathways in certain risk contexts may be plausible targets for disease modification.


Participant timeline for each treatment visit.
Exsurgo priming device. Both wrists move in rhythmic, symmetrical, flexion, and extension at a target frequency of 1 Hz. Repetitions are tracked by a digital counter built into the device.
Trial profile. Dotted lines represent groups which did not complete study protocol but were included in the intention‐to‐treat analysis.
Change and response rates for the FMUE. (A) Comparison of mean FMUE scores at each timepoint for the BUMP (n = 37) and CP (n = 36) groups. The circle is the mean group value, and the vertical bars represent the standard error. (B) Individual FMUE scores at baseline and post‐test. (C) FMUE response rates (≥6‐point change from baseline to follow‐up, 8 weeks after treatment ended). BUMP, bilateral upper limb motor priming; CP, control priming; FMUE, Fugl‐Meyer Assessment of the upper extremity; PT, post‐test; FU, follow‐up.
Priming and task‐specific training for arm weakness post stroke: A randomized controlled trial

December 2024

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29 Reads

Objective The objective of this work was to evaluate if task‐specific training (TST) preceded by bilateral upper limb motor priming (BUMP) reduces upper limb impairment more than TST preceded by control priming ([CP], sham electrical stimulation) in people with chronic stroke. Methods In this single‐blind, randomized controlled trial, 76 adults with moderate to severe upper limb hemiparesis ≥6 months post‐stroke were stratified by baseline impairment and randomized to receive either BUMP or CP prior to receiving the same TST protocol. Participants completed 30 h of treatment in 15 days over 6 weeks. The primary outcome was change in Fugl‐Meyer upper extremity (FMUE) from baseline to 8‐week follow‐up. We also report clinically meaningful response rates defined as a change in FMUE score of 6 points or greater. Results In response to treatment, both groups improved to a significant extent at follow‐up, exceeding the FMUE minimum clinically important difference. Those in BUMP and CP saw a mean change of 5.68 (SE 0.76, p < 0.001) and 5.87 (SE 0.76, p < 0.001) respectively. There was no significant difference between treatment arms (mean difference of −0.20 (95% CI = [−2.37, 1.97], SE = 1.08, p = 0.86)). A response of ≥6 points was observed in 46% in BUMP and 50% in CP. Interpretation There was no beneficial effect of BUMP. The magnitude of change seen in both groups reflects the largest improvement achieved with just 22.5 h of TST in this population, matching or out‐performing more invasive, time‐intensive, and costly interventions proposed in recent years.


Study design overview. aLGCIPL, annualized loss rate of macular ganglion cell plus inner plexiform layer thinning from rebaseline scan to last follow‐up scan; aLpRNFL, annualized loss rate of peripapillary retinal nerve fiber layer thinning from rebaseline scan to last follow‐up scan; DMT, disease‐modifying treatment.
Inclusion/exclusion process. DMT, disease‐modifying treatment; OCT, optical coherence tomography.
Retinal layer atrophy rates from rebaseline according to different disease‐modifying treatments. Calculated by linear mixed‐effects regression models determining change rates in pRNFL and GCIPL over the available measurements from the rebaseline scan, with treating time (unit: days) as a continuous predictor variable, accounting for the nested data structure with subjects as random effects, and DMT as an independent variable using DMF as the reference substance with adjustment for age, sex, and disease duration. To facilitate interpretability, layer atrophy rates are expressed as annualized percent change (%/year) with higher negative percentages indicating a greater loss. aL, annualized loss; CD20, antiCD20 monoclonal antibodies (ocrelizumab, ofatumumab, rituximab); CLAD, cladribine; DMF, dimethylfumarate; GCIPL, ganglion cell and inner plexiform layer; GLAT, glatiramer acetate; IFNb, interferon beta preparations; NTZ, natalizumab; pRNFL, peripapillary retinal nerve fiber layer; S1PM, sphingosine‐1‐phosphate receptor modulators (fingolimod, ozanimod, ponesimod); TERI, teriflunomide.
Retinal layer atrophy rates from rebaseline in patients achieving NEDA‐2 under different disease‐modifying treatments. Calculated by linear mixed‐effects regression models determining change rates in pRNFL and GCIPL over the available measurements from the rebaseline scan, with treating time (unit: days) as a continuous predictor variable, accounting for the nested data structure with subjects as random effects, and DMT as an independent variable using DMF as the reference substance with adjustment for age, sex, and disease duration. To facilitate interpretability, layer atrophy rates are expressed as annualized percent change (%/year) with higher negative percentages indicating a greater loss. aL, annualized loss; CD20, antiCD20 monoclonal antibodies (ocrelizumab, ofatumumab, rituximab); CLAD, cladribine. NTZ: natalizumab; DMF, dimethylfumarate; GCIPL, ganglion cell and inner plexiform layer; GLAT, glatiramer acetate; IFNb, interferon beta preparations; NEDA‐2, no evidence of disease activity (no relapse and no disability worsening); pRNFL, peripapillary retinal nerve fiber layer; S1PM, sphingosine‐1‐phosphate receptor modulators (fingolimod, ozanimod, ponesimod); TERI, teriflunomide.
Retinal thinning differentiates treatment effects in relapsing multiple sclerosis below the clinical threshold

December 2024

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36 Reads

Objective To investigate retinal layer thinning as a biomarker of disease‐modifying treatment (DMT) effects in relapsing multiple sclerosis (RMS). Methods From an ongoing prospective observational study, we included patients with RMS, who (i) had an optical coherence tomography (OCT) scan within 6 to 12 months after DMT start (rebaseline) and ≥1 follow‐up OCT ≥12 months after rebaseline and (ii) adhered to DMT during follow‐up. Differences between DMT in thinning of peripapillary‐retinal‐nerve‐fiber‐layer (pRNFL) and macular ganglion cell‐plus‐inner plexiform‐layer (GCIPL) were analyzed using mixed‐effects linear regression. Eyes suffering optic neuritis during follow‐up were excluded. Results We included 291 RMS patients (mean age 30.8 years [SD 7.9], 72.9% female, median disease duration 9 months [range 6–94], median rebaseline‐to‐last‐follow‐up‐interval 32 months [12–82]). Mean annualized rates of retinal layer thinning (%/year) in reference to DMF (n = 84, GCIPL 0.28, pRNFL 0.53) were similar under TERI (n = 18, GCIPL 0.34, pRNFL 0.59), GLAT (n = 24, GCIPL 0.32, pRNFL 0.56), and IFNb (n = 13, GCIPL 0.33, pRNFL 0.60) were slightly lower under S1PM (n = 27, GCIPL 0.19, pRNFL 0.42) and CLA (n = 23, GCIPL 0.20, pRNFL 0.42), and were significantly lower under NTZ (n = 47, GCIPL 0.09, pRNFL 0.24; both p < 0.001) and antiCD20 (n = 55, GCIPL 0.10, pRNFL 0.23; both p < 0.001). In patients achieving NEDA‐2, observed thinning rates were lower overall, but still significantly lower under NTZ and antiCD20. Interpretation Applying a rebaselining concept, retinal layer thinning differentiates DMT effects even in clinically stable patients and, thus, might be a useful biomarker to monitor DMT efficacy on subclinical neuroaxonal degeneration—at least on a group level.


Performance of key clinical outcome assessments (COA) plotted by years since report of symptom onset (A) 100‐m timed test (100 m) converted to velocity, (B) North Star Assessment for limb girdle‐type dystrophies (NSAD), and (C) Performance of Upper Limb (PUL). Note patients are plotted by variant group (circles = homozygous, squares = compound heterozygous) and linear regression lines (solid = homozygous, dotted = compound heterozygous) indicate differences in age of onset but similar slope of progression over time.
Relationship between key COA (A) NSAD and 100 m. No patients reached top running velocity with a good distribution of abilities over the course of disease progression. Thresholds for typical “running,” “community” ambulation, and “household” ambulation are marked as dotted lines. (B) NSAD and PUL indicate a greater spread of NSAD score over time with PUL increasingly informative as ambulatory ability declines. (C) NSAD and ACTIVLIM demonstrate increasing patient‐reported difficulty with activities correlating to clinician‐measured function. Note the mild floor effect of the ACTIVLIM as patients become nonambulatory. Patients with homozygous variants are marked as black circles (solid line) and patients with compound heterozygous variants are marked as open squares (dashed line).
Bland–Altman plots of performance of functional outcomes across days which includes individual average performance (Day 1 and Day 2) and change across baseline visits for (A) North Star Assessment for limb girdle‐type dystrophies (NSAD), (B) rise from floor (RFF). Note data for RFF were transposed to indicate decreased performance (meaning increasing time) across days are displayed as a negative number for ease of interpretation and comparison to NSAD as an ordinal variable with decreasing score indicative of worsening performance.
Prospective observational study of FKRP‐related limb‐girdle muscular dystrophy R9: A GRASP consortium study

December 2024

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31 Reads

Objective Limb‐girdle muscular dystrophy R9 (LGMDR9, formerly known as LGMD2I), caused by variants in the fukutin‐related protein (FKRP) gene leads to progressive muscle weakness of the shoulder and pelvic limb‐girdles and loss of motor function over time. Clinical management and future trial design are improved by determining which standardized clinical outcome assessments (COA) of function are most appropriate to capture disease presentation and progression, informing endpoint selection and enrollment criteria. The purpose of our study was to evaluate the cross‐sectional validity and reliability of clinical outcome assessments in patients with FKRP‐related LGMDR9 participating in the Genetic Resolution and Assessments Solving Phenotypes in LGMD (GRASP) natural history study. Methods Enrolled patients completed a battery of COA on two consecutive days, including the North Star Assessment for limb girdle‐type dystrophies (NSAD), the 100‐m timed test (100 m), and the Performance of Upper Limb 2.0 (PUL). Results A total of 101 patients with FKRP‐related LGMDR9 completed COA evaluations. All functional COA were highly and significantly correlated even across constructs, except for the 9‐hole peg test. Similarly, all tests demonstrated excellent test–retest reliability across 2‐day visits. The NSAD and PUL demonstrate robust psychometrics with good targeting, ordered response thresholds, fit and stability, and limited dependency of items across the scales. Conclusions This study has determined the suitability of several functional COA, cross‐sectionally, in LGMDR9 to inform future trial design and clinical care.


Imaging of the patient after trauma, following the first surgery, and prior to SCS implantation. (A) Lumbar X‐rays and CT at the T12 segment (indicated by white arrow) after the trauma, (B) post‐first surgery, and (C) pre‐SCS implantation.
Intraoperative implantation scheme and electrophysiological testing of SCS. (A) Intraoperative fluoroscopic image showing SCS electrode placement at the T12 segment (white arrow), (B) intraoperative electrophysiological monitoring of lower limb muscles, and (C) optimal electrode configuration for muscle activation (electrodes 14 and 15 were activated; red for the anode, green for the cathode, and blue indicates inactivated electrodes). The colors correspond to the recording sites shown in B. Stimulation parameters: Frequency 5 Hz, Pulse Width 200 microseconds, Amplitude 9 mA.
Schematic diagram of synchronized lower limb exoskeleton activation by SCS device. This illustration depicts the integration of the SCS device with the exoskeleton, highlighting their synchronized activation pattern that facilitates motor recovery.
Spatiotemporal spinal cord stimulation with real‐time triggering exoskeleton restores walking capability: a case report

December 2024

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10 Reads

Objective Motor recovery is challenging for spinal cord injury (SCI), especially in low‐level SCI. Methods A 16‐year‐old patient with complete SCI at T12 presented flaccid paralysis and inability to control defecation and was scored as ASIA A at admission. The patient underwent spinal cord stimulation (SCS) implantation at the T11‐L1, followed by an innovative algorithm combining spatiotemporal SCS with real‐time triggered exoskeleton training (EXS‐SCS). Results After 1 month of treatment, she gained substantial improvement in her iliopsoas and quadriceps femoris muscle strength to grade 3–4 as well as percutaneous EMG, allowing for assisted standing and walking, and was reassessed as ASIA C. Interpretation This case reveals the potential of SCS‐EXS regimen in restoring walking capability of SCI patients.


Journal metrics


4.4 (2023)

Journal Impact Factor™


24%

Acceptance rate


9.1 (2023)

CiteScore™


8 days

Submission to first decision


$3,990 / £2,570 / €2,910

Article processing charge

Editors