Electroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility

Guzmán Alba,1 Ernesto Pereda,2 Soledad Mañas,3 Leopoldo D Méndez,3 Almudena González,1 Julián J González1 1Physiology Unit, Health Sciences Faculty (S Medicine), 2Department of Industrial Engineering, School of Engineering and Techno...

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Autores principales:	Alba G, Pereda E, Mañas S, Méndez LD, González A, González JJ
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2015
Materias:	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/2bec24d764974c3d92a269c05e3f23d6
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spelling	oai:doaj.org-article:2bec24d764974c3d92a269c05e3f23d62021-12-02T00:09:32ZElectroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility1178-2021https://doaj.org/article/2bec24d764974c3d92a269c05e3f23d62015-10-01T00:00:00Zhttps://www.dovepress.com/electroencephalography-signatures-of-attention-deficithyperactivity-di-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Guzmán Alba,1 Ernesto Pereda,2 Soledad Mañas,3 Leopoldo D Méndez,3 Almudena González,1 Julián J González1 1Physiology Unit, Health Sciences Faculty (S Medicine), 2Department of Industrial Engineering, School of Engineering and Technology, University of La Laguna, 3Clinical Neurophysiology Unit, University Hospital La Candelaria, Tenerife, Spain Abstract: The techniques and the most important results on the use of electroencephalography (EEG) to extract different measures are reviewed in this work, which can be clinically useful to study subjects with attention-deficit/hyperactivity disorder (ADHD). First, we discuss briefly and in simple terms the EEG analysis and processing techniques most used in the context of ADHD. We review techniques that both analyze individual EEG channels (univariate measures) and study the statistical interdependence between different EEG channels (multivariate measures), the so-called functional brain connectivity. Among the former ones, we review the classical indices of absolute and relative spectral power and estimations of the complexity of the channels, such as the approximate entropy and the Lempel-Ziv complexity. Among the latter ones, we focus on the magnitude square coherence and on different measures based on the concept of generalized synchronization and its estimation in the state space. Second, from a historical point of view, we present the most important results achieved with these techniques and their clinical utility (sensitivity, specificity, and accuracy) to diagnose ADHD. Finally, we propose future research lines based on these results. Keywords: EEG, ADHD, power spectrum, functional connectivity, clinical assessmentAlba GPereda EMañas SMéndez LDGonzález AGonzález JJDove Medical PressarticleNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol 2015, Iss default, Pp 2755-2769 (2015)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
spellingShingle	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Alba G Pereda E Mañas S Méndez LD González A González JJ Electroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility
description	Guzmán Alba,1 Ernesto Pereda,2 Soledad Mañas,3 Leopoldo D Méndez,3 Almudena González,1 Julián J González1 1Physiology Unit, Health Sciences Faculty (S Medicine), 2Department of Industrial Engineering, School of Engineering and Technology, University of La Laguna, 3Clinical Neurophysiology Unit, University Hospital La Candelaria, Tenerife, Spain Abstract: The techniques and the most important results on the use of electroencephalography (EEG) to extract different measures are reviewed in this work, which can be clinically useful to study subjects with attention-deficit/hyperactivity disorder (ADHD). First, we discuss briefly and in simple terms the EEG analysis and processing techniques most used in the context of ADHD. We review techniques that both analyze individual EEG channels (univariate measures) and study the statistical interdependence between different EEG channels (multivariate measures), the so-called functional brain connectivity. Among the former ones, we review the classical indices of absolute and relative spectral power and estimations of the complexity of the channels, such as the approximate entropy and the Lempel-Ziv complexity. Among the latter ones, we focus on the magnitude square coherence and on different measures based on the concept of generalized synchronization and its estimation in the state space. Second, from a historical point of view, we present the most important results achieved with these techniques and their clinical utility (sensitivity, specificity, and accuracy) to diagnose ADHD. Finally, we propose future research lines based on these results. Keywords: EEG, ADHD, power spectrum, functional connectivity, clinical assessment
format	article
author	Alba G Pereda E Mañas S Méndez LD González A González JJ
author_facet	Alba G Pereda E Mañas S Méndez LD González A González JJ
author_sort	Alba G
title	Electroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility
title_short	Electroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility
title_full	Electroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility
title_fullStr	Electroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility
title_full_unstemmed	Electroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility
title_sort	electroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility
publisher	Dove Medical Press
publishDate	2015
url	https://doaj.org/article/2bec24d764974c3d92a269c05e3f23d6
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Electroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility

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