Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease

Cortical network hyperexcitability is an inextricable feature of Alzheimer’s disease (AD) that also might accelerate its progression. Seizures are reported in 10–22% of patients with AD, and subclinical epileptiform abnormalities have been identified in 21–42% of patients with AD without seizures. A...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Tingting Yu, Xiao Liu, Jianping Wu, Qun Wang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	Alzheimer’s disease epileptogenesis seizure electrophysiology biomarkers Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/b808f71373a4443cab21b64286254ce8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b808f71373a4443cab21b64286254ce8
record_format	dspace
spelling	oai:doaj.org-article:b808f71373a4443cab21b64286254ce82021-12-01T16:36:38ZElectrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease1662-516110.3389/fnhum.2021.747077https://doaj.org/article/b808f71373a4443cab21b64286254ce82021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnhum.2021.747077/fullhttps://doaj.org/toc/1662-5161Cortical network hyperexcitability is an inextricable feature of Alzheimer’s disease (AD) that also might accelerate its progression. Seizures are reported in 10–22% of patients with AD, and subclinical epileptiform abnormalities have been identified in 21–42% of patients with AD without seizures. Accurate identification of hyperexcitability and appropriate intervention to slow the compromise of cognitive functions of AD might open up a new approach to treatment. Based on the results of several studies, epileptiform discharges, especially those with specific features (including high frequency, robust morphology, right temporal location, and occurrence during awake or rapid eye movement states), frequent small sharp spikes (SSSs), temporal intermittent rhythmic delta activities (TIRDAs), and paroxysmal slow wave events (PSWEs) recorded in long-term scalp electroencephalogram (EEG) provide sufficient sensitivity and specificity in detecting cortical network hyperexcitability and epileptogenicity of AD. In addition, magnetoencephalogram (MEG), foramen ovale (FO) electrodes, and computational approaches help to find subclinical seizures that are invisible on scalp EEGs. We performed a comprehensive analysis of the aforementioned electrophysiological biomarkers of AD-related seizures.Tingting YuTingting YuXiao LiuXiao LiuJianping WuJianping WuJianping WuQun WangQun WangQun WangFrontiers Media S.A.articleAlzheimer’s diseaseepileptogenesisseizureelectrophysiologybiomarkersNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Human Neuroscience, Vol 15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Alzheimer’s disease epileptogenesis seizure electrophysiology biomarkers Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Alzheimer’s disease epileptogenesis seizure electrophysiology biomarkers Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Tingting Yu Tingting Yu Xiao Liu Xiao Liu Jianping Wu Jianping Wu Jianping Wu Qun Wang Qun Wang Qun Wang Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease
description	Cortical network hyperexcitability is an inextricable feature of Alzheimer’s disease (AD) that also might accelerate its progression. Seizures are reported in 10–22% of patients with AD, and subclinical epileptiform abnormalities have been identified in 21–42% of patients with AD without seizures. Accurate identification of hyperexcitability and appropriate intervention to slow the compromise of cognitive functions of AD might open up a new approach to treatment. Based on the results of several studies, epileptiform discharges, especially those with specific features (including high frequency, robust morphology, right temporal location, and occurrence during awake or rapid eye movement states), frequent small sharp spikes (SSSs), temporal intermittent rhythmic delta activities (TIRDAs), and paroxysmal slow wave events (PSWEs) recorded in long-term scalp electroencephalogram (EEG) provide sufficient sensitivity and specificity in detecting cortical network hyperexcitability and epileptogenicity of AD. In addition, magnetoencephalogram (MEG), foramen ovale (FO) electrodes, and computational approaches help to find subclinical seizures that are invisible on scalp EEGs. We performed a comprehensive analysis of the aforementioned electrophysiological biomarkers of AD-related seizures.
format	article
author	Tingting Yu Tingting Yu Xiao Liu Xiao Liu Jianping Wu Jianping Wu Jianping Wu Qun Wang Qun Wang Qun Wang
author_facet	Tingting Yu Tingting Yu Xiao Liu Xiao Liu Jianping Wu Jianping Wu Jianping Wu Qun Wang Qun Wang Qun Wang
author_sort	Tingting Yu
title	Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease
title_short	Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease
title_full	Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease
title_fullStr	Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease
title_full_unstemmed	Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease
title_sort	electrophysiological biomarkers of epileptogenicity in alzheimer’s disease
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/b808f71373a4443cab21b64286254ce8
work_keys_str_mv	AT tingtingyu electrophysiologicalbiomarkersofepileptogenicityinalzheimersdisease AT tingtingyu electrophysiologicalbiomarkersofepileptogenicityinalzheimersdisease AT xiaoliu electrophysiologicalbiomarkersofepileptogenicityinalzheimersdisease AT xiaoliu electrophysiologicalbiomarkersofepileptogenicityinalzheimersdisease AT jianpingwu electrophysiologicalbiomarkersofepileptogenicityinalzheimersdisease AT jianpingwu electrophysiologicalbiomarkersofepileptogenicityinalzheimersdisease AT jianpingwu electrophysiologicalbiomarkersofepileptogenicityinalzheimersdisease AT qunwang electrophysiologicalbiomarkersofepileptogenicityinalzheimersdisease AT qunwang electrophysiologicalbiomarkersofepileptogenicityinalzheimersdisease AT qunwang electrophysiologicalbiomarkersofepileptogenicityinalzheimersdisease
_version_	1718404772586848256

Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease

Ejemplares similares