Pub Date : 2025-01-01Epub Date: 2025-07-23DOI: 10.1016/j.cnp.2025.07.003
Hosna Elshony , Mohamed H. Aly , Abdelgaffar Mohammed , Abdulrahman M. Hassan , Abdulrahman A. Alshehri , Mohamed Hedak , Rakan Almuhanna , Abdulaziz Al-Ghamdi , Rasha Elsaadawy
Objective
To evaluate the prevalence of asymptomatic tarsal tunnel syndrome (TTS) in rheumatoid arthritis (RA) patients and its association with disease activity, inflammation, and electrophysiological changes.
Methods
Forty RA patients and 40 age- and sex-matched controls underwent nerve conduction studies assessing medial plantar, lateral plantar, and posterior tibial nerves. Disease activity (DAS28, RASS), inflammatory markers (ESR, CRP), and autoantibodies (RF, anti-CCP) were recorded. Comparisons used t-tests; correlations assessed associations.
Results
RA patients showed significantly prolonged sensory latencies and reduced amplitudes and nerve conduction velocities, especially in medial and lateral plantar nerves. Sensory latencies had 100% sensitivity for subclinical TTS; motor parameters demonstrated high specificity. Higher DAS28, longer disease duration, elevated ESR/CRP, joint deformities, and seropositivity predicted TTS.
Conclusions
Subclinical TTS is highly prevalent in RA and linked to systemic inflammation, disease severity, and structural damage.
Significance
Routine electrophysiological screening may enable early detection and intervention, preserving nerve function and improving long-term mobility and quality of life in RA patients.
Trial Registration
The study was approved by the SFHM Institutional Review Board and registered under HAP-02-K-052 in August 2024.
{"title":"Asymptomatic tarsal tunnel syndrome in rheumatoid arthritis: An electrophysiological perspective with Insights into clinical and Laboratory correlates","authors":"Hosna Elshony , Mohamed H. Aly , Abdelgaffar Mohammed , Abdulrahman M. Hassan , Abdulrahman A. Alshehri , Mohamed Hedak , Rakan Almuhanna , Abdulaziz Al-Ghamdi , Rasha Elsaadawy","doi":"10.1016/j.cnp.2025.07.003","DOIUrl":"10.1016/j.cnp.2025.07.003","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the prevalence of asymptomatic tarsal tunnel syndrome (TTS) in rheumatoid arthritis (RA) patients and its association with disease activity, inflammation, and electrophysiological changes.</div></div><div><h3>Methods</h3><div>Forty RA patients and 40 age- and sex-matched controls underwent nerve conduction studies assessing medial plantar, lateral plantar, and posterior tibial nerves. Disease activity (DAS28, RASS), inflammatory markers (ESR, CRP), and autoantibodies (RF, anti-CCP) were recorded. Comparisons used t-tests; correlations assessed associations.</div></div><div><h3>Results</h3><div>RA patients showed significantly prolonged sensory latencies and reduced amplitudes and nerve conduction velocities, especially in medial and lateral plantar nerves. Sensory latencies had 100% sensitivity for subclinical TTS; motor parameters demonstrated high specificity. Higher DAS28, longer disease duration, elevated ESR/CRP, joint deformities, and seropositivity predicted TTS.</div></div><div><h3>Conclusions</h3><div>Subclinical TTS is highly prevalent in RA and linked to systemic inflammation, disease severity, and structural damage.</div></div><div><h3>Significance</h3><div>Routine electrophysiological screening may enable early detection and intervention, preserving nerve function and improving long-term mobility and quality of life in RA patients.</div></div><div><h3>Trial Registration</h3><div>The study was approved by the SFHM Institutional Review Board and registered under HAP-02-K-052 in August 2024.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 316-323"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01Epub Date: 2025-03-17DOI: 10.1016/j.cnp.2025.03.003
Johannes von Fraunberg , Hongyu Lu , Haodi Yang , Nura Marquetand , Christoph Braun , Lukas Rüttiger , Stephan Wolpert , Marlies Knipper , Markus Siegel , Hubert Löwenheim , Justus Marquetand
Objective
Measuring facial muscle activity is crucial in the diagnosis of facial palsy. This study investigated whether contactless Magnetomyography (MMG) using optically pumped magnetometers (OPM) is feasible for visualizing facial muscle activity.
Methods
An anatomically shaped mask featuring eleven OPM was arranged on one side of the face of five healthy subjects. MMG was recorded while they performed different facial expressions. The root mean square of each OPM signal was calculated for each expression and subject and allocated to the individual face. Moreover, the maximum average muscle activity and the signal-to-noise ratio (SNR) were determined.
Results
The subjects’ facial muscle activity could be measured individually per facial expression. Mean RMS was 0.6pT (SD 0.4pT), resulting in a mean SNR of 2.2 (SD 1.2).
Conclusions
Imaging facial activity via MMG using OPM is possible, although the sensor positioning (sensor geometry and distance to the muscle) is decisive. However, the signal amplitude of the facial muscles is low and the interindividual anatomical variability renders the measurement setup challenging.
Significance
As the imaging of facial MMG is feasible, this study paves the way for future studies using OPM for the diagnosis, monitoring, and rehabilitation of facial muscle and facial nerve disorders.
{"title":"Facial magnetomyography using an array of optically pumped magnetometers","authors":"Johannes von Fraunberg , Hongyu Lu , Haodi Yang , Nura Marquetand , Christoph Braun , Lukas Rüttiger , Stephan Wolpert , Marlies Knipper , Markus Siegel , Hubert Löwenheim , Justus Marquetand","doi":"10.1016/j.cnp.2025.03.003","DOIUrl":"10.1016/j.cnp.2025.03.003","url":null,"abstract":"<div><h3>Objective</h3><div>Measuring facial muscle activity is crucial in the diagnosis of facial palsy. This study investigated whether contactless Magnetomyography (MMG) using optically pumped magnetometers (OPM) is feasible for visualizing facial muscle activity.</div></div><div><h3>Methods</h3><div>An anatomically shaped mask featuring eleven OPM was arranged on one side of the face of five healthy subjects. MMG was recorded while they performed different facial expressions. The root mean square of each OPM signal was calculated for each expression and subject and allocated to the individual face. Moreover, the maximum average muscle activity and the signal-to-noise ratio (SNR) were determined.</div></div><div><h3>Results</h3><div>The subjects’ facial muscle activity could be measured individually per facial expression. Mean RMS was 0.6pT (SD 0.4pT), resulting in a mean SNR of 2.2 (SD 1.2).</div></div><div><h3>Conclusions</h3><div>Imaging facial activity via MMG using OPM is possible, although the sensor positioning (sensor geometry and distance to the muscle) is decisive. However, the signal amplitude of the facial muscles is low and the interindividual anatomical variability renders the measurement setup challenging.</div></div><div><h3>Significance</h3><div>As the imaging of facial MMG is feasible, this study paves the way for future studies using OPM for the diagnosis, monitoring, and rehabilitation of facial muscle and facial nerve disorders.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 134-140"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01Epub Date: 2025-09-05DOI: 10.1016/j.cnp.2025.08.006
Raphael Hamel , Peter Gaskell , Sophie Prosser , Darren Whelan , Richard Irving , Raymond Francis Reynolds
Objective
Electrical vestibular stimulation (EVS) exhibits similar diagnostic performance to caloric irrigation for assessing interaural vestibular asymmetry. To optimise EVS for clinical uses, we investigated the influence of EVS stimulus parameters upon absolute torsional eye response amplitude and asymmetry assessments.
Methods
In young healthy adults (n = 72), monoaural sinusoidal EVS was delivered to each mastoid process for 40 s whilst ocular torsion was assessed. Ambient lights, electrode montage, and stimulus frequency were systematically manipulated.
Results
Ambient lights (250 lx) attenuated torsional responses by 20 % compared to darkness. When the reference electrode was next to C7 (i.e., mastoid-C7 montage), responses to monoaural stimuli were 50 % those of binaural stimulation. Sinusoidal stimuli at 0.5 Hz evoked torsional responses 250 % larger than at 2 Hz but required 300 % more time to estimate asymmetry (12sec vs 4sec). Perceived discomfort was lower at 0.5 Hz than at 2 Hz. Pooled results (n = 53) suggest a normative asymmetry range of 0 ± 25 % for assessing pathological asymmetry.
Conclusions
Darkness and lower stimulus frequencies optimise absolute torsional eye response amplitude. Higher stimulus frequencies accelerate asymmetry assessments. To activate a single vestibular end organ, a mastoid-C7 (or mastoid-acromioclavicular) montage should be used.
Significance
These results extend the clinical potential of EVS for assessing vestibular function.
{"title":"Optimising electrical vestibular stimulation (EVS) for assessing vestibular function","authors":"Raphael Hamel , Peter Gaskell , Sophie Prosser , Darren Whelan , Richard Irving , Raymond Francis Reynolds","doi":"10.1016/j.cnp.2025.08.006","DOIUrl":"10.1016/j.cnp.2025.08.006","url":null,"abstract":"<div><h3>Objective</h3><div>Electrical vestibular stimulation (EVS) exhibits similar diagnostic performance to caloric irrigation for assessing interaural vestibular asymmetry. To optimise EVS for clinical uses, we investigated the influence of EVS stimulus parameters upon absolute torsional eye response amplitude and asymmetry assessments.</div></div><div><h3>Methods</h3><div>In young healthy adults (n = 72), monoaural sinusoidal EVS was delivered to each mastoid process for 40 s whilst ocular torsion was assessed. Ambient lights, electrode montage, and stimulus frequency were systematically manipulated.</div></div><div><h3>Results</h3><div>Ambient lights (250 lx) attenuated torsional responses by 20 % compared to darkness. When the reference electrode was next to C7 (i.e., mastoid-C7 montage), responses to monoaural stimuli were 50 % those of binaural stimulation. Sinusoidal stimuli at 0.5 Hz evoked torsional responses 250 % larger than at 2 Hz but required 300 % more time to estimate asymmetry (12sec vs 4sec). Perceived discomfort was lower at 0.5 Hz than at 2 Hz. Pooled results (n = 53) suggest a normative asymmetry range of 0 ± 25 % for assessing pathological asymmetry.</div></div><div><h3>Conclusions</h3><div>Darkness and lower stimulus frequencies optimise absolute torsional eye response amplitude. Higher stimulus frequencies accelerate asymmetry assessments. To activate a single vestibular end organ, a mastoid-C7 (or mastoid-acromioclavicular) montage should be used.</div></div><div><h3>Significance</h3><div>These results extend the clinical potential of EVS for assessing vestibular function.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 359-377"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01Epub Date: 2025-08-05DOI: 10.1016/j.cnp.2025.07.005
Giridhar P. Kalamangalam , Subeikshanan Venkatesan , Maria-Jose Bruzzone , Yue Wang , Carolina B. Maciel , Sotiris Mitropanopoulos , Jean Cibula , Kajal Patel , Abbas Babajani-Feremi
Objectives
Long-term EEG monitoring (LTM) in acute neurology generates massive data volumes. We investigated whether data-analytic techniques could reduce LTM data size yet conserve their visual diagnostic features.
Methods
LTM exemplars from 50 patients underwent singular value decomposition (SVD). High-variance SVD components were transformed using discrete cosine transform (DCT), and significant elements run-length encoded. Two regimes were tested: (I) SVD and DCT compression ratio (CR) of 1.7 and 12, and (II) CR of 3.7 and 5.7; each achieved an overall CR of ≈20. Compressed data were reconstructed alongside uncompressed originals, to create a total of 200 recordings that were scored by two blinded reviewers. Scores of original and reconstructed data were statistically analyzed.
Results
Score differences between original recordings were smaller than comparisons involving reconstructions using the first regime but did not differ significantly from reconstructions using the second regime.
Conclusions
Raw LTM EEG has sufficient redundancy to undergo extreme (20-fold) data compression without compromising visual diagnostic information. A balanced mix of SVD and DCT appears to be a suitable data-analytic pipeline for achieving such compression.
Significance
Dimension reduction is a significant goal in managing big biomedical data. Our results suggest a pathway for archival of meaningful representations of entire LTM datasets. The latent space suggests new lines of data-scientific inquiry of the EEG in acute neurological illness.
{"title":"COMPRESSIVE DATA STORAGE FOR LONG-TERM EEG: VALIDATION BY VISUAL ANALYSIS","authors":"Giridhar P. Kalamangalam , Subeikshanan Venkatesan , Maria-Jose Bruzzone , Yue Wang , Carolina B. Maciel , Sotiris Mitropanopoulos , Jean Cibula , Kajal Patel , Abbas Babajani-Feremi","doi":"10.1016/j.cnp.2025.07.005","DOIUrl":"10.1016/j.cnp.2025.07.005","url":null,"abstract":"<div><h3>Objectives</h3><div>Long-term EEG monitoring (LTM) in acute neurology generates massive data volumes. We investigated whether data-analytic techniques could reduce LTM data size yet conserve their visual diagnostic features.</div></div><div><h3>Methods</h3><div>LTM exemplars from 50 patients underwent singular value decomposition (SVD). High-variance SVD components were transformed using discrete cosine transform (DCT), and significant elements run-length encoded. Two regimes were tested: (I) SVD and DCT compression ratio (CR) of 1.7 and 12, and (II) CR of 3.7 and 5.7; each achieved an overall CR of ≈20. Compressed data were reconstructed alongside uncompressed originals, to create a total of 200 recordings that were scored by two blinded reviewers. Scores of original and reconstructed data were statistically analyzed.</div></div><div><h3>Results</h3><div>Score differences between original recordings were smaller than comparisons involving reconstructions using the first regime but did not differ significantly from reconstructions using the second regime.</div></div><div><h3>Conclusions</h3><div>Raw LTM EEG has sufficient redundancy to undergo extreme (20-fold) data compression without compromising visual diagnostic information. A balanced mix of SVD and DCT appears to be a suitable data-analytic pipeline for achieving such compression.</div></div><div><h3>Significance</h3><div>Dimension reduction is a significant goal in managing big biomedical data. Our results suggest a pathway for archival of meaningful representations of entire LTM datasets. The latent space suggests new lines of data-scientific inquiry of the EEG in acute neurological illness.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 331-339"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144779854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01Epub Date: 2025-06-27DOI: 10.1016/j.cnp.2025.06.001
Brin E. Freund , Khalil S. Husari , José L. Fernández-Torre , Philippe Gélisse , Peter W. Kaplan
Generalized periodic discharges (GPDs) with triphasic morphology (triphasic waves, TWs) are EEG waveforms that have been a frequent topic of research evaluating their etiology and clinical correlates. More specifically, prior studies have tried to better elucidate their implications regarding seizures to help guide decision making regarding empiric treatment and EEG monitoring and in spite of multiple studies, controversies remain due to disparate findings. In this review we discuss the historical views of TWs and their clinical and radiographic correlates, highlight the typical and atypical features of TWs, discuss the controversy related to the association between TWs and seizures, and propose an approach to their management.
{"title":"Triphasic waves: To treat or not to treat?","authors":"Brin E. Freund , Khalil S. Husari , José L. Fernández-Torre , Philippe Gélisse , Peter W. Kaplan","doi":"10.1016/j.cnp.2025.06.001","DOIUrl":"10.1016/j.cnp.2025.06.001","url":null,"abstract":"<div><div>Generalized periodic discharges (GPDs) with triphasic morphology (triphasic waves, TWs) are EEG waveforms that have been a frequent topic of research evaluating their etiology and clinical correlates. More specifically, prior studies have tried to better elucidate their implications regarding seizures to help guide decision making regarding empiric treatment and EEG monitoring and in spite of multiple studies, controversies remain due to disparate findings. In this review we discuss the historical views of TWs and their clinical and radiographic correlates, highlight the typical and atypical features of TWs, discuss the controversy related to the association between TWs and seizures, and propose an approach to their management.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 265-277"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01Epub Date: 2025-11-07DOI: 10.1016/j.cnp.2025.10.008
Paola Vassallo , Olivia Poole , Xiaodong Guan , Davide Giampiccolo , Eduardo Marques , Umesh Vivekananda , John S. Duncan , Beate Diehl
Background
Electrical cortical stimulation (ECS) is commonly used during invasive presurgical evaluation of drug-resistant focal epilepsy for functional mapping and delineation of the epileptogenic zone.
Case presentation
A 31-year-old woman underwent stereo-EEG evaluation for presurgical assessment of drug-resistant focal epilepsy, likely left frontal or multifocal. During 50 Hz ECS of the right mid-cingulate cortex, a reproducible behavioural response was observed, characterised by left ear popping, head drop, eye closure, and speech/motor arrest, without loss of awareness. This semiology differed from her habitual seizures, and the region was not considered part of the presumed epileptogenic zone.
Conclusion
This case represents a rare video-documentation of stimulation-induced complex motor and behavioural response localised to the mid-cingulate cortex and supports mid-cingulate’s role as connection hub for volitional control and sensorimotor integration.
{"title":"Switch-Off response to mid-cingulate cortex stimulation: a video case report","authors":"Paola Vassallo , Olivia Poole , Xiaodong Guan , Davide Giampiccolo , Eduardo Marques , Umesh Vivekananda , John S. Duncan , Beate Diehl","doi":"10.1016/j.cnp.2025.10.008","DOIUrl":"10.1016/j.cnp.2025.10.008","url":null,"abstract":"<div><h3>Background</h3><div>Electrical cortical stimulation (ECS) is commonly used during invasive presurgical evaluation of drug-resistant focal epilepsy for functional mapping and delineation of the epileptogenic zone.</div></div><div><h3>Case presentation</h3><div>A 31-year-old woman underwent stereo-EEG evaluation for presurgical assessment of drug-resistant focal epilepsy, likely left frontal or multifocal. During 50 Hz ECS of the right mid-cingulate cortex, a reproducible behavioural response was observed, characterised by left ear popping, head drop, eye closure, and speech/motor arrest, without loss of awareness. This semiology differed from her habitual seizures, and the region was not considered part of the presumed epileptogenic zone.</div></div><div><h3>Conclusion</h3><div>This case represents a rare video-documentation of stimulation-induced complex motor and behavioural response localised to the mid-cingulate cortex and supports mid-cingulate’s role as connection hub for volitional control and sensorimotor integration.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 524-526"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01Epub Date: 2025-09-04DOI: 10.1016/j.cnp.2025.08.009
Perianen Ramasawmy , Krisztián Iszak , Steffen Brüshaber , Viktória Kállay , Géza Gergely Ambrus , Walter Paulus , Andrea Antal
Background
The dorsolateral prefrontal cortex (DLPFC) is a key contributor to memory categorization. Brain-Derived Neurotrophic Factor (BDNF) Val66Met polymorphism affects the efficacy of neuronal plasticity induction. We investigated whether DLPFC-transcranial direct current stimulation (tDCS) influences categorization performance, and whether BNDF genotype modulates this effect.
Methods
Sixty-two healthy individuals were randomized to receive 10 min of either anodal right DLPFC-tDCS at 1 mA, or sham tDCS during the training phase of a prototype distortion task. Categorization performance was assessed during, shortly after, and the morning following the stimulation. Val66Met polymorphism status was determined through BNDF genotyping.
Results
Val66Met carriers showed poorer categorization ability than Val/Val homozygotes (p < 0.0001). tDCS did not enhance categorization performance overall, or reduce genotype-associated differences with these specific stimulation parameters. However, tDCS extinguished the prototype effect of the categorization task observed in our sample.
Conclusions
Our findings underscore the importance of BDNF polymorphism in category learning. 1 mA anodal right DLPFC over the right DLPFC does not improve performance or offset genotype differences under tested conditions.
Significance
BDNF Val66Met polymorphism influences category learning, and low-intensity tDCS does not counteract this effect, emphasizing the need to refine stimulation protocols for genotype-specific cognitive enhancement.
{"title":"When genetics prevail: brain stimulation fails to overcome learning deficits from brain-derived neurotrophic factor Val66Met","authors":"Perianen Ramasawmy , Krisztián Iszak , Steffen Brüshaber , Viktória Kállay , Géza Gergely Ambrus , Walter Paulus , Andrea Antal","doi":"10.1016/j.cnp.2025.08.009","DOIUrl":"10.1016/j.cnp.2025.08.009","url":null,"abstract":"<div><h3>Background</h3><div>The dorsolateral prefrontal cortex (DLPFC) is a key contributor to memory categorization. Brain-Derived Neurotrophic Factor (BDNF) <em>Val66Met</em> polymorphism affects the efficacy of neuronal plasticity induction. We investigated whether DLPFC-transcranial direct current stimulation (tDCS) influences categorization performance, and whether BNDF genotype modulates this effect.</div></div><div><h3>Methods</h3><div>Sixty-two healthy individuals were randomized to receive 10 min of either anodal right DLPFC-tDCS at 1 mA, or sham tDCS during the training phase of a prototype distortion task. Categorization performance was assessed during, shortly after, and the morning following the stimulation. <em>Val66Met</em> polymorphism status was determined through BNDF genotyping.</div></div><div><h3>Results</h3><div><em>Val66Met</em> carriers showed poorer categorization ability than <em>Val/Val</em> homozygotes (p < 0.0001). tDCS did not enhance categorization performance overall, or reduce genotype-associated differences with these specific stimulation parameters. However, tDCS extinguished the prototype effect of the categorization task observed in our sample.</div></div><div><h3>Conclusions</h3><div>Our findings underscore the importance of BDNF polymorphism in category learning. 1 mA anodal right DLPFC over the right DLPFC does not improve performance or offset genotype differences under tested conditions.</div></div><div><h3>Significance</h3><div>BDNF <em>Val66Met</em> polymorphism influences category learning, and low-intensity tDCS does not counteract this effect, emphasizing the need to refine stimulation protocols for genotype-specific cognitive enhancement.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 350-358"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145007533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01Epub Date: 2025-10-05DOI: 10.1016/j.cnp.2025.10.001
Xiaoyi Xu , Shuping Chen , Zifan Li , Lijie Zhang , Tianjin Pan , Siying Long , Tingting Yang , Meng Li , Qianru Li , Na Chen , Shangjie Chen , Qing Zeng
Objective
Growing evidence highlights the cerebellum, particularly the right posterior lobule, in advanced language processes such as fluency, syntax, and phonological memory. However, its specific role in post-stroke aphasia recovery—especially its modulation of cortical networks and functional connectivity (FC)—remains unclear, which limits targeted intreventions.
Methods
Sixteen post-stroke aphasia patients were randomized to receive either cerebellar transcranial direct current stimulation (tDCS) with speech therapy or sham stimulation with therapy. Language performance was assessed via the Chinese Standard Aphasia Scale (CRRCAE), and brain activation was monitored using functional near-infrared spectroscopy (fNIRS).
Results
Both groups showed significant CRRCAE score improvements post-treatment (P < 0.05), without between-group differences (P > 0.05). FC reductions were noted across several interhemispheric and right-hemispheric pathways, while increased FC was observed in left hemisphere language-related areas.
Conclusion
After baseline adjustment, the intervention group showed superior gains. Cerebellar tDCS modulates FC, suggesting a potential mechanism for enhancing aphasia recovery.
Significance
Findings support the cerebellum as a promising neuromodulation target for post-stroke aphasia treatment.
{"title":"Efficacy of cerebellar cathodal transcranial direct current stimulation for post-stroke aphasia: A randomized controlled trial","authors":"Xiaoyi Xu , Shuping Chen , Zifan Li , Lijie Zhang , Tianjin Pan , Siying Long , Tingting Yang , Meng Li , Qianru Li , Na Chen , Shangjie Chen , Qing Zeng","doi":"10.1016/j.cnp.2025.10.001","DOIUrl":"10.1016/j.cnp.2025.10.001","url":null,"abstract":"<div><h3>Objective</h3><div>Growing evidence highlights the cerebellum, particularly the right posterior lobule, in advanced language processes such as fluency, syntax, and phonological memory. However, its specific role in post-stroke aphasia recovery—especially its modulation of cortical networks and functional connectivity (FC)—remains unclear, which limits targeted intreventions.</div></div><div><h3>Methods</h3><div>Sixteen post-stroke aphasia patients were randomized to receive either cerebellar transcranial direct current stimulation (tDCS) with speech therapy or sham stimulation with therapy. Language performance was assessed via the Chinese Standard Aphasia Scale (CRRCAE), and brain activation was monitored using functional near-infrared spectroscopy (fNIRS).</div></div><div><h3>Results</h3><div>Both groups showed significant CRRCAE score improvements post-treatment (P < 0.05), without between-group differences (P > 0.05). FC reductions were noted across several interhemispheric and right-hemispheric pathways, while increased FC was observed in left hemisphere language-related areas.</div></div><div><h3>Conclusion</h3><div>After baseline adjustment, the intervention group showed superior gains. Cerebellar tDCS modulates FC, suggesting a potential mechanism for enhancing aphasia recovery.</div></div><div><h3>Significance</h3><div>Findings support the cerebellum as a promising neuromodulation target for post-stroke aphasia treatment.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 464-473"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145319650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01Epub Date: 2025-10-03DOI: 10.1016/j.cnp.2025.08.001
G.K. Cooray , L. Nastasi , D. Motan , J. Deeb
Objective:
This study aims to assess application of deep neural networks to predict neuromuscular disorders in patients based on electrodiagnostic data and compare with clinical assessment.
Methods:
Patients evaluated with electrodiagnostic tests in intensive care over a 10-year period were included in this study. The data set contained both electrodiagnostic and clinical information. Based on the final diagnosis, patients were classified into six groups: non-primary neuromuscular disorders, neuropathy, motor-neuronopathy, myopathy, neuromuscular-junction disorders, and critical-illness neuromyopathy. The neural network was trained on the data.
Results:
The data set was small, allowing training of the neural network on a standard laptop. The validation results were promising, with an accuracy of 0.92, an ROC-AUC of 0.99, and a precision recall AUC of 0.97. The confusion and positive predictive value matrix demonstrated high performance, with diagonal values exceeding 0.82.
Conclusion:
This study demonstrates the efficacy of neural networks in predicting neuromuscular disorders using electrodiagnostic tests. The performance of the model was comparable to clinical assessment. These findings suggest that with more extensive datasets, neural networks can provide reliable estimates of neuromuscular diagnoses.
Significance:
Incorporating neural networks into diagnostic workflows could enhance decision-making, especially in scenarios requiring reassessment or complementary investigations.
{"title":"Evaluating pediatric peripheral neuromuscular disorders using deep neural networks on electrodiagnostic data","authors":"G.K. Cooray , L. Nastasi , D. Motan , J. Deeb","doi":"10.1016/j.cnp.2025.08.001","DOIUrl":"10.1016/j.cnp.2025.08.001","url":null,"abstract":"<div><h3>Objective:</h3><div>This study aims to assess application of deep neural networks to predict neuromuscular disorders in patients based on electrodiagnostic data and compare with clinical assessment.</div></div><div><h3>Methods:</h3><div>Patients evaluated with electrodiagnostic tests in intensive care over a 10-year period were included in this study. The data set contained both electrodiagnostic and clinical information. Based on the final diagnosis, patients were classified into six groups: non-primary neuromuscular disorders, neuropathy, motor-neuronopathy, myopathy, neuromuscular-junction disorders, and critical-illness neuromyopathy. The neural network was trained on the data.</div></div><div><h3>Results:</h3><div>The data set was small, allowing training of the neural network on a standard laptop. The validation results were promising, with an accuracy of 0.92, an ROC-AUC of 0.99, and a precision recall AUC of 0.97. The confusion and positive predictive value matrix demonstrated high performance, with diagonal values exceeding 0.82.</div></div><div><h3>Conclusion:</h3><div>This study demonstrates the efficacy of neural networks in predicting neuromuscular disorders using electrodiagnostic tests. The performance of the model was comparable to clinical assessment. These findings suggest that with more extensive datasets, neural networks can provide reliable estimates of neuromuscular diagnoses.</div></div><div><h3>Significance:</h3><div>Incorporating neural networks into diagnostic workflows could enhance decision-making, especially in scenarios requiring reassessment or complementary investigations.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 474-479"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145319649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01Epub Date: 2025-11-04DOI: 10.1016/j.cnp.2025.10.007
Tim Coolen , Alexandru Mihai Dumitrescu , Vincent Wens , Mathieu Bourguignon , Antonin Rovai , Niloufar Sadeghi , Charline Urbain , Xavier De Tiège
Objective
To compare and integrate hemispheric lateralization and spatial patterns of language mapping derived from functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG).
Method
Twenty right-handed healthy adults performed three language tasks (verb/noun generation, phonological/semantic fluency, and sentence completion). A unified framework ensured methodological consistency across modalities: (i) identical tasks; (ii) individual mapping of block-level signal changes in fMRI and broadband (4–40 Hz) oscillatory power decreases in MEG; (iii) subject-level spatial extent-based thresholding of intramodality maps and quantification of intermodality overlap. Laterality indices (LI) were compared and combined across tasks and modalities to assess lateralization discordances. Spatial patterns were obtained by averaging individual maps, while permutation statistics evaluated intermodality spatial differences.
Results
Task- and modality-combined LI reduced intermodality lateralization discordance from 45% to 10%. MEG showed twice the LI variability of fMRI. Overlap was concentrated in left fronto-temporal regions, while spatial differences emerged in left fronto-parietal areas (fMRI) and temporal/opercular regions (MEG).
Conclusion
Although core language areas were identified in both modalities, modality- and task-integration may enhance robustness of language mapping in healthy subjects.
Significance
Lateralization discordances and modality-specific spatial patterns, along with MEG’s higher lateralization variability, suggest that multimodal integration could aid in presurgical clinical decision-making.
{"title":"Comparison of lateralization and spatial patterns of hemodynamic and neuromagnetic language brain mapping","authors":"Tim Coolen , Alexandru Mihai Dumitrescu , Vincent Wens , Mathieu Bourguignon , Antonin Rovai , Niloufar Sadeghi , Charline Urbain , Xavier De Tiège","doi":"10.1016/j.cnp.2025.10.007","DOIUrl":"10.1016/j.cnp.2025.10.007","url":null,"abstract":"<div><h3>Objective</h3><div>To compare and integrate hemispheric lateralization and spatial patterns of language mapping derived from functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG).</div></div><div><h3>Method</h3><div>Twenty right-handed healthy adults performed three language tasks (verb/noun generation, phonological/semantic fluency, and sentence completion). A unified framework ensured methodological consistency across modalities: (i) identical tasks; (ii) individual mapping of block-level signal changes in fMRI and broadband (4–40 Hz) oscillatory power decreases in MEG; (iii) subject-level spatial extent-based thresholding of intramodality maps and quantification of intermodality overlap. Laterality indices (LI) were compared and combined across tasks and modalities to assess lateralization discordances. Spatial patterns were obtained by averaging individual maps, while permutation statistics evaluated intermodality spatial differences.</div></div><div><h3>Results</h3><div>Task- and modality-combined LI reduced intermodality lateralization discordance from 45% to 10%. MEG showed twice the LI variability of fMRI. Overlap was concentrated in left fronto-temporal regions, while spatial differences emerged in left fronto-parietal areas (fMRI) and temporal/opercular regions (MEG).</div></div><div><h3>Conclusion</h3><div>Although core language areas were identified in both modalities, modality- and task-integration may enhance robustness of language mapping in healthy subjects.</div></div><div><h3>Significance</h3><div>Lateralization discordances and modality-specific spatial patterns, along with MEG’s higher lateralization variability, suggest that multimodal integration could aid in presurgical clinical decision-making.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 511-523"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145525622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}