Pub Date : 2024-10-09DOI: 10.1016/j.clinph.2024.09.026
Ye Wang , Juan Yue , Yu-Ting Lou , Qiu-Ye Lin , Yu-Feng Zang , Jue Wang , Jian-Hua Feng
Objective
In order to examine whether individualized peak functional connectivity could potentially serve as a target for repetitive transcranial magnetic stimulation (rTMS) therapy, we investigated the location of peak functional connectivity (FC) between the cortical motor area and the key brain region, the globus pallidus internus (GPi), in Tourette syndrome, and explored the relationship between the severity of the disease and these aberrant functional connections.
Methods
The study involved a cohort of 103 children diagnosed with Tourette syndrome and 66 age-matched typically developing children. The GPi was served as the seed, and the study compared individualized peak FC strength in the supplementary motor area (SMA) and premotor area between the two groups. Spatial distribution of peak FC in the motor area and GPi-based voxel-wise FC were also analyzed.
Results
Children with Tourette syndrome exhibited lower peak FC in the left SMA when using left GPi as the seed. This reduction in peak FC demonstrated a significant and negative correlation with the Yale Global Tic Severity Scale scores.
Conclusions
SMA-GPi FC is one of the key pathological circuit in Tourette syndrome.
Significance
The individual peak FC location in the left SMA potentially serve as stimulation targets for rTMS treatment of TS.
研究目的为了研究个体化的峰值功能连接是否有可能成为重复经颅磁刺激（rTMS）疗法的目标，我们调查了图雷特综合征患者皮层运动区与关键脑区苍白球内侧（GPi）之间峰值功能连接（FC）的位置，并探讨了疾病严重程度与这些异常功能连接之间的关系：研究对象包括 103 名确诊为妥瑞症的儿童和 66 名年龄匹配的发育正常儿童。研究以 GPi 为种子，比较了两组儿童辅助运动区（SMA）和前运动区的个体化 FC 峰值强度。研究还分析了运动区FC峰值的空间分布以及基于GPi的体素FC：结果：以左侧 GPi 为种子，图雷特综合征患儿左侧 SMA 的 FC 峰值较低。FC峰值的降低与耶鲁全球抽搐严重程度量表评分呈显著负相关：结论：SMA-GPi FC是妥瑞症的关键病理回路之一：意义：左侧SMA的单个FC峰值位置可作为经颅磁刺激治疗TS的刺激目标。
{"title":"Abnormal individualized functional connectivity: A potential stimulation target for pediatric tourette syndrome","authors":"Ye Wang , Juan Yue , Yu-Ting Lou , Qiu-Ye Lin , Yu-Feng Zang , Jue Wang , Jian-Hua Feng","doi":"10.1016/j.clinph.2024.09.026","DOIUrl":"10.1016/j.clinph.2024.09.026","url":null,"abstract":"<div><h3>Objective</h3><div>In order to examine whether individualized peak functional connectivity could potentially serve as a target for repetitive transcranial magnetic stimulation (rTMS) therapy, we investigated the location of peak functional connectivity (FC) between the cortical motor area and the key brain region, the globus pallidus internus (GPi), in Tourette syndrome, and explored the relationship between the severity of the disease and these aberrant functional connections.</div></div><div><h3>Methods</h3><div>The study involved a cohort of 103 children diagnosed with Tourette syndrome and 66 age-matched typically developing children. The GPi was served as the seed, and the study compared individualized peak FC strength in the supplementary motor area (SMA) and premotor area between the two groups. Spatial distribution of peak FC in the motor area and GPi-based voxel-wise FC were also analyzed.</div></div><div><h3>Results</h3><div>Children with Tourette syndrome exhibited lower peak FC in the left SMA when using left GPi as the seed. This reduction in peak FC demonstrated a significant and negative correlation with the Yale Global Tic Severity Scale scores.</div></div><div><h3>Conclusions</h3><div>SMA-GPi FC is one of the key pathological circuit in Tourette syndrome.</div></div><div><h3>Significance</h3><div>The individual peak FC location in the left SMA potentially serve as stimulation targets for rTMS treatment of TS<strong>.</strong></div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"168 ","pages":"Pages 25-33"},"PeriodicalIF":3.7,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142459900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-28DOI: 10.1016/j.clinph.2024.09.023
Victor H. Souza , Kamyle Villa-Flor de Castro , Pedro de Melo-Carneiro , Iago de Oliveira Gomes , Janine Ribeiro Camatti , Iasmyn Adélia Victor Fernandes de Oliveira , Katia Nunes Sá , Abrahão Fontes Baptista , Rita Lucena , João Zugaib
Objective
Scalp cooling might increase the long-term potentiation (LTP)-like effect of transcranial direct current stimulation (tDCS) by reducing the threshold for after-effects according to metaplasticity and increasing electrical current density reaching the cortical neurons. We aimed to investigate whether priming scalp cooling potentiates the tDCS after-effect on motor cortex excitability.
Methods
This study had a randomized, parallel-arms, sham-controlled, double-blinded design with an adequately powered sample of 105 healthy subjects. Corticomotor and intracortical excitability were assessed with motor evoked potentials (MEP) from transcranial magnetic stimulation (TMS) in short-interval intracortical inhibition (SICI) and intracortical facilitation (ICF) paradigms. Subjects were randomly allocated into six intervention groups, including anodal and cathodal tDCS (1-mA/20-min), scalp cooling, and sham. MEPs were recorded before, immediately, and 15 min after the interventions.
Results
We did not observe changes in MEP amplitude from single-pulse TMS, SICI, and ICF with any intervention protocol.
Conclusion
Anodal and cathodal tDCS did not have an LTP-like neuromodulatory effect on corticospinal and did not provide detectable GABAergic and glutamatergic neurotransmission changes, which were not influenced by priming scalp cooling.
Significance
We provide strong evidence that tDCS (1-mA/20-min) does not alter corticomotor and intracortical excitability with or without priming scalp cooling.
{"title":"tDCS and local scalp cooling do not change corticomotor and intracortical excitability in healthy humans","authors":"Victor H. Souza , Kamyle Villa-Flor de Castro , Pedro de Melo-Carneiro , Iago de Oliveira Gomes , Janine Ribeiro Camatti , Iasmyn Adélia Victor Fernandes de Oliveira , Katia Nunes Sá , Abrahão Fontes Baptista , Rita Lucena , João Zugaib","doi":"10.1016/j.clinph.2024.09.023","DOIUrl":"10.1016/j.clinph.2024.09.023","url":null,"abstract":"<div><h3>Objective</h3><div>Scalp cooling might increase the long-term potentiation (LTP)-like effect of transcranial direct current stimulation (tDCS) by reducing the threshold for after-effects according to metaplasticity and increasing electrical current density reaching the cortical neurons. We aimed to investigate whether priming scalp cooling potentiates the tDCS after-effect on motor cortex excitability.</div></div><div><h3>Methods</h3><div>This study had a randomized, parallel-arms, sham-controlled, double-blinded design with an adequately powered sample of 105 healthy subjects. Corticomotor and intracortical excitability were assessed with motor evoked potentials (MEP) from transcranial magnetic stimulation (TMS) in short-interval intracortical inhibition (SICI) and intracortical facilitation (ICF) paradigms. Subjects were randomly allocated into six intervention groups, including anodal and cathodal tDCS (1-mA/20-min), scalp cooling, and sham. MEPs were recorded before, immediately, and 15 min after the interventions.</div></div><div><h3>Results</h3><div>We did not observe changes in MEP amplitude from single-pulse TMS, SICI, and ICF with any intervention protocol.</div></div><div><h3>Conclusion</h3><div>Anodal and cathodal tDCS did not have an LTP-like neuromodulatory effect on corticospinal and did not provide detectable GABAergic and glutamatergic neurotransmission changes, which were not influenced by priming scalp cooling.</div></div><div><h3>Significance</h3><div>We provide strong evidence that tDCS (1-mA/20-min) does not alter corticomotor and intracortical excitability with or without priming scalp cooling.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"168 ","pages":"Pages 1-9"},"PeriodicalIF":3.7,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142399649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-28DOI: 10.1016/j.clinph.2024.09.021
Joonas Lahtinen , Paavo Ronni , Narayan Puthanmadam Subramaniyam , Alexandra Koulouri , Carsten Wolters , Sampsa Pursiainen
Objective
We introduce standardized Kalman filtering (SKF) as a new spatiotemporal method for tracking brain activity. Via the Kalman filtering scheme, the computational workload is low, and by spatiotemporal standardization, we reduce the depth bias of non-standardized Kalman filtering (KF).
Methods
We describe the standardized KF methodology for spatiotemporal tracking from the Bayesian perspective. We construct a realistic simulation setup that resembles activity due to somatosensory evoked potential (SEP) to validate the proposed methodology before we run our tests using real SEP data.
Results
In the experiments, SKF was compared with standardized low-resolution brain electromagnetic tomography (sLORETA) and the non-standardized KF. SKF localized the cortical and subcortical SEP originators appropriately and tracked P20/N20 originators for investigated signal-to-noise ratios (25, 15, and 5 dB). sLORETA distinguished those for 25 and 15 dB suppressing the subcortical originators. KF tracked only the evolution of cortical activity but mislocalized it.
Conclusions
The numerical results suggest that SKF inherits the estimation accuracy of sLORETA and traceability of KF while producing focal estimates for SEP originators.
Significance
SKF could help study time-evolving brain activities and localize landmarks with a deep contributor or when there is no prior knowledge of evolution.
{"title":"Standardized Kalman filtering for dynamical source localization of concurrent subcortical and cortical brain activity","authors":"Joonas Lahtinen , Paavo Ronni , Narayan Puthanmadam Subramaniyam , Alexandra Koulouri , Carsten Wolters , Sampsa Pursiainen","doi":"10.1016/j.clinph.2024.09.021","DOIUrl":"10.1016/j.clinph.2024.09.021","url":null,"abstract":"<div><h3>Objective</h3><div>We introduce standardized Kalman filtering (SKF) as a new spatiotemporal method for tracking brain activity. Via the Kalman filtering scheme, the computational workload is low, and by spatiotemporal standardization, we reduce the depth bias of non-standardized Kalman filtering (KF).</div></div><div><h3>Methods</h3><div>We describe the standardized KF methodology for spatiotemporal tracking from the Bayesian perspective. We construct a realistic simulation setup that resembles activity due to somatosensory evoked potential (SEP) to validate the proposed methodology before we run our tests using real SEP data.</div></div><div><h3>Results</h3><div>In the experiments, SKF was compared with standardized low-resolution brain electromagnetic tomography (sLORETA) and the non-standardized KF. SKF localized the cortical and subcortical SEP originators appropriately and tracked P20/N20 originators for investigated signal-to-noise ratios (25, 15, and 5 dB). sLORETA distinguished those for 25 and 15 dB suppressing the subcortical originators. KF tracked only the evolution of cortical activity but mislocalized it.</div></div><div><h3>Conclusions</h3><div>The numerical results suggest that SKF inherits the estimation accuracy of sLORETA and traceability of KF while producing focal estimates for SEP originators.</div></div><div><h3>Significance</h3><div>SKF could help study time-evolving brain activities and localize landmarks with a deep contributor or when there is no prior knowledge of evolution.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"168 ","pages":"Pages 15-24"},"PeriodicalIF":3.7,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-27DOI: 10.1016/j.clinph.2024.09.022
Hannes Brehme, Timo Kirschstein, Michael Kölch, Johannes Buchmann
{"title":"Burst suppression like EEG pattern under levetiracetam without anaesthesia or cerebral hypoxia","authors":"Hannes Brehme, Timo Kirschstein, Michael Kölch, Johannes Buchmann","doi":"10.1016/j.clinph.2024.09.022","DOIUrl":"10.1016/j.clinph.2024.09.022","url":null,"abstract":"","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"168 ","pages":"Pages 10-11"},"PeriodicalIF":3.7,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142399648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-24DOI: 10.1016/j.clinph.2024.09.019
Alberto Jaramillo-Jimenez , Diego A Tovar-Rios , Yorguin-Jose Mantilla-Ramos , John-Fredy Ochoa-Gomez , Laura Bonanni , Kolbjørn Brønnick
Objective
Pooling multisite resting-state electroencephalography (rsEEG) datasets may introduce bias due to batch effects (i.e., cross-site differences in the rsEEG related to scanner/sample characteristics). The Combining Batches (ComBat) models, introduced for microarray expression and adapted for neuroimaging, can control for batch effects while preserving the variability of biological covariates. We aim to evaluate four ComBat harmonization methods in a pooled sample from five independent rsEEG datasets of young and old adults.
Methods
RsEEG signals (n = 374) were automatically preprocessed. Oscillatory and aperiodic rsEEG features were extracted in sensor space. Features were harmonized using neuroCombat (standard ComBat used in neuroimaging), neuroHarmonize (variant with nonlinear adjustment of covariates), OPNested-GMM (variant based on Gaussian Mixture Models to fit bimodal feature distributions), and HarmonizR (variant based on resampling to handle missing feature values). Relationships between rsEEG features and age were explored before and after harmonizing batch effects.
Results
Batch effects were identified in rsEEG features. All ComBat methods reduced batch effects and features’ dispersion; HarmonizR and OPNested-GMM ComBat achieved the greatest performance. Harmonized Beta power, individual Alpha peak frequency, Aperiodic exponent, and offset in posterior electrodes showed significant relations with age. All ComBat models maintained the direction of observed relationships while increasing the effect size.
Conclusions
ComBat models, particularly HarmonizeR and OPNested-GMM ComBat, effectively control for batch effects in rsEEG spectral features.
Significance
This workflow can be used in multisite studies to harmonize batch effects in sensor-space rsEEG spectral features while preserving biological associations.
{"title":"ComBat models for harmonization of resting-state EEG features in multisite studies","authors":"Alberto Jaramillo-Jimenez , Diego A Tovar-Rios , Yorguin-Jose Mantilla-Ramos , John-Fredy Ochoa-Gomez , Laura Bonanni , Kolbjørn Brønnick","doi":"10.1016/j.clinph.2024.09.019","DOIUrl":"10.1016/j.clinph.2024.09.019","url":null,"abstract":"<div><h3>Objective</h3><div>Pooling multisite resting-state electroencephalography (rsEEG) datasets may introduce bias due to batch effects (i.e., cross-site differences in the rsEEG related to scanner/sample characteristics). The Combining Batches (ComBat) models, introduced for microarray expression and adapted for neuroimaging, can control for batch effects while preserving the variability of biological covariates. We aim to evaluate four ComBat harmonization methods in a pooled sample from five independent rsEEG datasets of young and old adults.</div></div><div><h3>Methods</h3><div>RsEEG signals (n = 374) were automatically preprocessed. Oscillatory and aperiodic rsEEG features were extracted in sensor space. Features were harmonized using neuroCombat (standard ComBat used in neuroimaging), neuroHarmonize (variant with nonlinear adjustment of covariates), OPNested-GMM (variant based on Gaussian Mixture Models to fit bimodal feature distributions), and HarmonizR (variant based on resampling to handle missing feature values). Relationships between rsEEG features and age were explored before and after harmonizing batch effects.</div></div><div><h3>Results</h3><div>Batch effects were identified in rsEEG features. All ComBat methods reduced batch effects and features’ dispersion; HarmonizR and OPNested-GMM ComBat achieved the greatest performance. Harmonized Beta power, individual Alpha peak frequency, Aperiodic exponent, and offset in posterior electrodes showed significant relations with age. All ComBat models maintained the direction of observed relationships while increasing the effect size.</div></div><div><h3>Conclusions</h3><div>ComBat models, particularly HarmonizeR and OPNested-GMM ComBat, effectively control for batch effects in rsEEG spectral features.</div></div><div><h3>Significance</h3><div>This workflow can be used in multisite studies to harmonize batch effects in sensor-space rsEEG spectral features while preserving biological associations.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 241-253"},"PeriodicalIF":3.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142380234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-24DOI: 10.1016/j.clinph.2024.09.011
A. Antal , C. Baeken
{"title":"“The proof is in the pudding” Response to the Commentary: Do all studies using medical devices fall under the European Medical Device Regulation? Written by Dr. Roman Rethwilm, Prof. Dr. Martin Schecklmann, Dr. Desmond Agboada, Prof. Dr. Til Ole Bergmann, Prof. Dr. Wolfgang Seiberl","authors":"A. Antal , C. Baeken","doi":"10.1016/j.clinph.2024.09.011","DOIUrl":"10.1016/j.clinph.2024.09.011","url":null,"abstract":"","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 262-263"},"PeriodicalIF":3.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142388714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-24DOI: 10.1016/j.clinph.2024.09.012
Roman Rethwilm, Martin Schecklmann, Desmond Agboada, Til Ole Bergmann, Wolfgang Seiberl
{"title":"Commentary: Do all studies using medical devices fall under the European Medical Device Regulation?","authors":"Roman Rethwilm, Martin Schecklmann, Desmond Agboada, Til Ole Bergmann, Wolfgang Seiberl","doi":"10.1016/j.clinph.2024.09.012","DOIUrl":"10.1016/j.clinph.2024.09.012","url":null,"abstract":"","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 239-240"},"PeriodicalIF":3.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1016/j.clinph.2024.09.017
Hongliu Yang , Jens Müller , Matthias Eberlein , Sotirios Kalousios , Georg Leonhardt , Jonas Duun-Henriksen , Troels Kjaer , Ronald Tetzlaff
Objective
The apparent randomness of seizure occurrence affects greatly the quality of life of persons with epilepsy. Since seizures are often phase-locked to multidien cycles of interictal epileptiform activity, a recent forecasting scheme, exploiting RNS data, is capable of forecasting seizures days in advance.
Methods
We tested the use of a bandpass filter to capture the universal mid-term dynamics enabling both patient-specific and cross-patient forecasting. In a retrospective study, we explored the feasibility of the scheme on three long-term recordings obtained by the NeuroPace RNS System, the NeuroVista intracranial, and the UNEEG subcutaneous devices, respectively.
Results
Better-than-chance forecasting was observed in 15 (83 %) of 18 patients, and in 16 (89 %) patients for daily and hourly forecast, respectively. Meaningful forecast up to 30 days could be achieved in 4 (22 %) patients for hourly forecast frequency. The cross-patient performance decreased only marginally and was patient-wise strongly correlated with the patient-specific one. Comparable performance was obtained for NeuroVista and UNEEG data sets.
Significance
The feasibility of cross-patient forecasting supports the universal importance of mid-term dynamics for seizure forecasting, demonstrates promising inter-subject-applicability of the scheme on ultra long-term EEG recordings, and highlights its huge potential for clinical use.
{"title":"Seizure forecasting with ultra long-term EEG signals","authors":"Hongliu Yang , Jens Müller , Matthias Eberlein , Sotirios Kalousios , Georg Leonhardt , Jonas Duun-Henriksen , Troels Kjaer , Ronald Tetzlaff","doi":"10.1016/j.clinph.2024.09.017","DOIUrl":"10.1016/j.clinph.2024.09.017","url":null,"abstract":"<div><h3>Objective</h3><div>The apparent randomness of seizure occurrence affects greatly the quality of life of persons with epilepsy. Since seizures are often phase-locked to multidien cycles of interictal epileptiform activity, a recent forecasting scheme, exploiting RNS data, is capable of forecasting seizures days in advance.</div></div><div><h3>Methods</h3><div>We tested the use of a bandpass filter to capture the universal mid-term dynamics enabling both patient-specific and cross-patient forecasting. In a retrospective study, we explored the feasibility of the scheme on three long-term recordings obtained by the NeuroPace RNS System, the NeuroVista intracranial, and the UNEEG subcutaneous devices, respectively.</div></div><div><h3>Results</h3><div>Better-than-chance forecasting was observed in 15 (83 %) of 18 patients, and in 16 (89 %) patients for daily and hourly forecast, respectively. Meaningful forecast up to 30 days could be achieved in 4 (22 %) patients for hourly forecast frequency. The cross-patient performance decreased only marginally and was patient-wise strongly correlated with the patient-specific one. Comparable performance was obtained for NeuroVista and UNEEG data sets.</div></div><div><h3>Significance</h3><div>The feasibility of cross-patient forecasting supports the universal importance of mid-term dynamics for seizure forecasting, demonstrates promising inter-subject-applicability of the scheme on ultra long-term EEG recordings, and highlights its huge potential for clinical use.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 211-220"},"PeriodicalIF":3.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-19DOI: 10.1016/j.clinph.2024.09.016
Haipo Yang, Shuang Wang
Objective
This study aimed to analyze and summarize the characteristics of generalized paroxysmal fast activity (GPFA) via electroencephalography (EEG) in patients with epilepsy with eyelid myoclonia (EEM) and to determine its relationship with clinical outcome.
Methods
Patients with EEM were selected from our EEG database. The collected data included detailed clinical information, factors that triggered GPFA, and the relationship between GPFA and eyelid myoclonia seizures. The clinical data and EEG characteristics of patients with and without GPFA were compared.
Results
Forty-seven patients with EEM were identified according to the clinical criteria, of whom 18 (38.3%) exhibited GPFA. GPFA can occur ictally or interictally. The difference in the response to antiseizure medication (ASM) between EEM patients with and without GPFA suggested that patients who had GPFA on EEG might have easier seizure control.
Conclusion
In our study, 38.3% of EEM patients had GPFA on EEG. GPFA is an EEG pattern in individuals with EEM that can cause eyelid myoclonia. EEM patients with GPFA on their EEG had easier seizure control than those without GPFA.
Significance
This study summarized the incidence and electroclinical features of GPFA in a cohort of patients with EEM.
{"title":"Generalized paroxysmal fast activity in a cohort of patients with epilepsy with eyelid myoclonia","authors":"Haipo Yang, Shuang Wang","doi":"10.1016/j.clinph.2024.09.016","DOIUrl":"10.1016/j.clinph.2024.09.016","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to analyze and summarize the characteristics of generalized paroxysmal fast activity (GPFA) via electroencephalography (EEG) in patients with epilepsy with eyelid myoclonia (EEM) and to determine its relationship with clinical outcome.</div></div><div><h3>Methods</h3><div>Patients with EEM were selected from our EEG database. The collected data included detailed clinical information, factors that triggered GPFA, and the relationship between GPFA and eyelid myoclonia seizures. The clinical data and EEG characteristics of patients with and without GPFA were compared.</div></div><div><h3>Results</h3><div>Forty-seven patients with EEM were identified according to the clinical criteria, of whom 18 (38.3%) exhibited GPFA. GPFA can occur ictally or interictally. The difference in the response to antiseizure medication (ASM) between EEM patients with and without GPFA suggested that patients who had GPFA on EEG might have easier seizure control.</div></div><div><h3>Conclusion</h3><div>In our study, 38.3% of EEM patients had GPFA on EEG. GPFA is an EEG pattern in individuals with EEM that can cause eyelid myoclonia. EEM patients with GPFA on their EEG had easier seizure control than those without GPFA.</div></div><div><h3>Significance</h3><div>This study summarized the incidence and electroclinical features of GPFA in a cohort of patients with EEM.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"167 ","pages":"Pages 192-197"},"PeriodicalIF":3.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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