Development of a Human Electrophysiology Laboratory to Advance Cognitive Neuroscience in Western Kenya [0.03%]
Amira Nafiseh,Jaime Morales,Mark Nyalumbe et al.
Amira Nafiseh et al.
Increasing evidence underscores the influence of social determinants and cultural factors on brain structure and function. Neurophysiological approaches offer unique advantages for assessing brain physiology and cognitive functioning, but c...
The Effects of Abstinence status and Sleep Quality on Resting State Alpha Power in Cocaine Use Disorder [0.03%]
Heather E Webber,Danielle A Kessler,Joy M Schmitz et al.
Heather E Webber et al.
RationaleSubstance use disorders are associated with notable sleep disturbances. Electroencephalogram (EEG) alpha power occurs during wakeful rest, is associated with sleepiness, and indicates neural deactivation.ObjectivesThe goal of the c...
A Bibliometric Examination of EEGLAB Publications in Scopus and WoS Indexed Sources: A 20-Year Study of Asia-Pacific and Arabian Countries [0.03%]
基于Scopus和WoS来源的EEGLAB文献的 bibliometri cs研究：亚洲太平洋及阿拉伯国家20年研究分析
Mohammad Fayaz,Nadhim Azeez Sayel
Mohammad Fayaz
IntroductionEEGLAB is a widely used software for analyzing electroencephalography (EEG) datasets, with over 20 years of global use. This bibliometric study investigates EEGLAB publications in the Asia-Pacific and Arabian regions, focusing o...
Brain-Computer Interface Combined with Functional Electrical Stimulation for Post-Stroke Upper Limb Motor Recovery: A Systematic Review and Meta-Analysis [0.03%]
结合功能性电刺激的脑机接口在卒中后上肢运动功能恢复中的应用：系统综述和.Meta.分析
Fengjiao Liang,Xiang Chen,Baoying Li et al.
Fengjiao Liang et al.
BackgroundBrain-computer interface-driven functional electrical stimulation (BCI-FES) is a promising approach for post-stroke upper limb rehabilitation. However, considerable variability exists in stimulation parameters and task designs acr...
The Effect of Levetiracetam on the Interictal EEG in Children with Refractory Epilepsy [0.03%]
左乙拉西坦对难治性癫痫患儿间期脑电图影响的研究
Eli Heyman,Shlomo Gilat,Eli Lahat et al.
Eli Heyman et al.
BackgroundInterictal epileptiform discharges (IED) frequency is the most commonly studied interictal measure of ASM efficacy in patients with epilepsy, and IED suppression in a repeat pediatric EEG is usually interpreted as a reduced tenden...
Early EEG-Derived Seizure and Suppression Patterns During Electroconvulsive Therapy and Their Association with Early Antidepressant Response in Young Patients [0.03%]
青年患者电休克治疗早期癫痫样放电及抑制模式及其与早期抗抑郁疗效的关系
Xinqi Huang,Xiaolong Kuang
Xinqi Huang
Early clinical response to electroconvulsive therapy (ECT) varies substantially across patients. The physiological expression of ECT-induced seizures, captured by routinely recorded EEG seizure duration and suppression indices together with...
Feasibility of a Condensed EEG Curriculum Using a Procedural Based Learning Model [0.03%]
基于程序的学习模型的缩略EEG教学大纲之可行性研究
Alexandria Valdrighi,Susannah Cornes,Vanja Douglas et al.
Alexandria Valdrighi et al.
BackgroundNeurology residency time constraints limit requisite EEG training, contributing to discomfort with this core skill. EEG interpretation is a procedural skill, and educational models utilizing cognitive and procedural elements may i...
Tri-Band Rhythmicity on Quantitative EEG: A Clinically Applicable Marker for Sporadic Creutzfeldt-Jakob Disease [0.03%]
定量EEG三频节律性： sporadic型库鲁病的临床适用标记物
Wattakorn Laohapiboolrattana,Natlada Limotai,Narupat Suanprasert et al.
Wattakorn Laohapiboolrattana et al.
IntroductionSporadic Creutzfeldt-Jakob Disease (sCJD) is a rapidly progressive prion disease that can be challenging to distinguish from other dementias, especially in early stages or when classical EEG findings, such as periodic sharp wave...
Are Epileptic K-Complexes and Small Sharp Spikes During Sleep Clinically Useful in the Evaluation of Epileptic Patients? Important Phenomenology Needs Consideration [0.03%]
癫痫K-综合症和小锐刺在睡眠中对评估癫痫患者的临床作用如何？重要的现象学需要考虑
Havva Tuğba Çelik,Nermin Gorkem Sirin,Nerses Bebek et al.
Havva Tuğba Çelik et al.
IntroductionEpileptiform K complexes (eKC) and small sharp spikes (SSS) have been explored in a limited number of studies, with their relationhip to epileptic disorders remaining controversial. This retrospective study aimed to evaluate the...
Multimodal Machine Learning and Deep Learning Approaches for Parkinson's Disease Diagnosis: A Comprehensive Survey [0.03%]
帕金森病诊断的多模态机器学习和深度学习方法综合调查
Ahmed Najat Ahmed,Amin Salih Mohammed,Moayad Yousif Potrus
Ahmed Najat Ahmed
Parkinson's disease (PD) is a progressive neurodegenerative disorder that profoundly affects patients' quality of life. Early and accurate diagnosis is essential for timely intervention and improved outcomes, yet traditional clinical evalua...