In Quest of Pathognomonic/Endophenotypic Markers of Attention Deficit Hyperactivity Disorder (ADHD): Potential of EEG-Based Frequency Analysis and ERPs to Better Detect, Prevent and Manage ADHD

Priya Miranda,1 Christopher D Cox,2 Michael Alexander,1 Slav Danev,3 Jonathan RT Lakey1 1Department of Surgery and Biomedical Engineering, University of California Irvine, Irvine, California, USA; 2Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Calif...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Miranda P, Cox CD, Alexander M, Danev S, Lakey JRT
Formato: article
Lenguaje:EN
Publicado: Dove Medical Press 2020
Materias:
eeg
Acceso en línea:https://doaj.org/article/99dfe124d0ef4f9791326612c90450b7
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:99dfe124d0ef4f9791326612c90450b7
record_format dspace
spelling oai:doaj.org-article:99dfe124d0ef4f9791326612c90450b72021-12-02T08:47:28ZIn Quest of Pathognomonic/Endophenotypic Markers of Attention Deficit Hyperactivity Disorder (ADHD): Potential of EEG-Based Frequency Analysis and ERPs to Better Detect, Prevent and Manage ADHD1179-1470https://doaj.org/article/99dfe124d0ef4f9791326612c90450b72020-05-01T00:00:00Zhttps://www.dovepress.com/in-quest-of-pathognomonicendophenotypic-markers-of-attention-deficit-h-peer-reviewed-article-MDERhttps://doaj.org/toc/1179-1470Priya Miranda,1 Christopher D Cox,2 Michael Alexander,1 Slav Danev,3 Jonathan RT Lakey1 1Department of Surgery and Biomedical Engineering, University of California Irvine, Irvine, California, USA; 2Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA; 3Medeia Inc, Santa Barbara, CA, USACorrespondence: Jonathan RT LakeyDepartment of Surgery, 333 City Blvd West, Suite 1600, Orange, CA 92868, USATel +1-949-824-8022Fax +1-714-456-6188Email jlakey@uci.eduAbstract: Attention deficit hyperactivity disorder (ADHD) is a chronic heritable developmental delay psychiatric disorder requiring chronic management, characterized by inattention, hyperactivity, hyperkinectivity and impulsivity. Subjective clinical evaluation still remains crucial in its diagnosis. Discussed are two key aspects in the “characterizing ADHD” and on the quest for objective “pathognomonic/endophenotypic diagnostic markers of ADHD”. The first aspect briefly revolves around issues related to identification of pathognomonic/endophenotypic diagnostic markers in ADHD. Issues discussed include changes in ADHD definition, remission/persistence and overlapping-symptoms cum shared-heritability with its co-morbid cross-border mental disorders. The second aspect discussed is neurobiological and EEG-based studies on ADHD. Given the neurobiological and temporal aspects of ADHD symptoms the electroencephalograph (EEG) like NeuralScan by Medeia appears as an appropriate tool. The EEGs appropriateness is further enhanced when coupled with suitable behavior/cognitive/motor/psychological tasks/paradigms yielding EEG-based markers like event-related-potential (ERPs like P3 amplitudes and latency), reaction time variability (RTV), Theta:Beta ratio (TBR) and sensorimotor rhythm (SMR). At present, these markers could potentially help in the neurobiological characterization of ADHD and either help in identifying or lay the groundwork for identifying pathognomonic and/or endophenotypic EEG-based markers enabling its diagnosis, treatment and management.Keywords: ADHD, EEG, event related potential, reaction timeMiranda PCox CDAlexander MDanev SLakey JRTDove Medical Pressarticleadhdeegevent related potentialreaction timeMedical technologyR855-855.5ENMedical Devices: Evidence and Research, Vol Volume 13, Pp 115-137 (2020)
institution DOAJ
collection DOAJ
language EN
topic adhd
eeg
event related potential
reaction time
Medical technology
R855-855.5
spellingShingle adhd
eeg
event related potential
reaction time
Medical technology
R855-855.5
Miranda P
Cox CD
Alexander M
Danev S
Lakey JRT
In Quest of Pathognomonic/Endophenotypic Markers of Attention Deficit Hyperactivity Disorder (ADHD): Potential of EEG-Based Frequency Analysis and ERPs to Better Detect, Prevent and Manage ADHD
description Priya Miranda,1 Christopher D Cox,2 Michael Alexander,1 Slav Danev,3 Jonathan RT Lakey1 1Department of Surgery and Biomedical Engineering, University of California Irvine, Irvine, California, USA; 2Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA; 3Medeia Inc, Santa Barbara, CA, USACorrespondence: Jonathan RT LakeyDepartment of Surgery, 333 City Blvd West, Suite 1600, Orange, CA 92868, USATel +1-949-824-8022Fax +1-714-456-6188Email jlakey@uci.eduAbstract: Attention deficit hyperactivity disorder (ADHD) is a chronic heritable developmental delay psychiatric disorder requiring chronic management, characterized by inattention, hyperactivity, hyperkinectivity and impulsivity. Subjective clinical evaluation still remains crucial in its diagnosis. Discussed are two key aspects in the “characterizing ADHD” and on the quest for objective “pathognomonic/endophenotypic diagnostic markers of ADHD”. The first aspect briefly revolves around issues related to identification of pathognomonic/endophenotypic diagnostic markers in ADHD. Issues discussed include changes in ADHD definition, remission/persistence and overlapping-symptoms cum shared-heritability with its co-morbid cross-border mental disorders. The second aspect discussed is neurobiological and EEG-based studies on ADHD. Given the neurobiological and temporal aspects of ADHD symptoms the electroencephalograph (EEG) like NeuralScan by Medeia appears as an appropriate tool. The EEGs appropriateness is further enhanced when coupled with suitable behavior/cognitive/motor/psychological tasks/paradigms yielding EEG-based markers like event-related-potential (ERPs like P3 amplitudes and latency), reaction time variability (RTV), Theta:Beta ratio (TBR) and sensorimotor rhythm (SMR). At present, these markers could potentially help in the neurobiological characterization of ADHD and either help in identifying or lay the groundwork for identifying pathognomonic and/or endophenotypic EEG-based markers enabling its diagnosis, treatment and management.Keywords: ADHD, EEG, event related potential, reaction time
format article
author Miranda P
Cox CD
Alexander M
Danev S
Lakey JRT
author_facet Miranda P
Cox CD
Alexander M
Danev S
Lakey JRT
author_sort Miranda P
title In Quest of Pathognomonic/Endophenotypic Markers of Attention Deficit Hyperactivity Disorder (ADHD): Potential of EEG-Based Frequency Analysis and ERPs to Better Detect, Prevent and Manage ADHD
title_short In Quest of Pathognomonic/Endophenotypic Markers of Attention Deficit Hyperactivity Disorder (ADHD): Potential of EEG-Based Frequency Analysis and ERPs to Better Detect, Prevent and Manage ADHD
title_full In Quest of Pathognomonic/Endophenotypic Markers of Attention Deficit Hyperactivity Disorder (ADHD): Potential of EEG-Based Frequency Analysis and ERPs to Better Detect, Prevent and Manage ADHD
title_fullStr In Quest of Pathognomonic/Endophenotypic Markers of Attention Deficit Hyperactivity Disorder (ADHD): Potential of EEG-Based Frequency Analysis and ERPs to Better Detect, Prevent and Manage ADHD
title_full_unstemmed In Quest of Pathognomonic/Endophenotypic Markers of Attention Deficit Hyperactivity Disorder (ADHD): Potential of EEG-Based Frequency Analysis and ERPs to Better Detect, Prevent and Manage ADHD
title_sort in quest of pathognomonic/endophenotypic markers of attention deficit hyperactivity disorder (adhd): potential of eeg-based frequency analysis and erps to better detect, prevent and manage adhd
publisher Dove Medical Press
publishDate 2020
url https://doaj.org/article/99dfe124d0ef4f9791326612c90450b7
work_keys_str_mv AT mirandap inquestofpathognomonicendophenotypicmarkersofattentiondeficithyperactivitydisorderadhdpotentialofeegbasedfrequencyanalysisanderpstobetterdetectpreventandmanageadhd
AT coxcd inquestofpathognomonicendophenotypicmarkersofattentiondeficithyperactivitydisorderadhdpotentialofeegbasedfrequencyanalysisanderpstobetterdetectpreventandmanageadhd
AT alexanderm inquestofpathognomonicendophenotypicmarkersofattentiondeficithyperactivitydisorderadhdpotentialofeegbasedfrequencyanalysisanderpstobetterdetectpreventandmanageadhd
AT danevs inquestofpathognomonicendophenotypicmarkersofattentiondeficithyperactivitydisorderadhdpotentialofeegbasedfrequencyanalysisanderpstobetterdetectpreventandmanageadhd
AT lakeyjrt inquestofpathognomonicendophenotypicmarkersofattentiondeficithyperactivitydisorderadhdpotentialofeegbasedfrequencyanalysisanderpstobetterdetectpreventandmanageadhd
_version_ 1718398378303291392