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Neurophysiological markers of network dysfunction in neurodegenerative diseases

There is strong clinical, imaging and pathological evidence that neurodegeneration is associated with altered brain connectivity. While functional imaging (fMRI) can detect resting and activated states of metabolic activity, its use is limited by poor temporal resolution, cost and confounding vascul...

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Detalles Bibliográficos
Autores principales: McMackin, Roisin, Bede, Peter, Pender, Niall, Hardiman, Orla, Nasseroleslami, Bahman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370863/
https://www.ncbi.nlm.nih.gov/pubmed/30738372
http://dx.doi.org/10.1016/j.nicl.2019.101706
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author McMackin, Roisin
Bede, Peter
Pender, Niall
Hardiman, Orla
Nasseroleslami, Bahman
author_facet McMackin, Roisin
Bede, Peter
Pender, Niall
Hardiman, Orla
Nasseroleslami, Bahman
author_sort McMackin, Roisin
collection PubMed
description There is strong clinical, imaging and pathological evidence that neurodegeneration is associated with altered brain connectivity. While functional imaging (fMRI) can detect resting and activated states of metabolic activity, its use is limited by poor temporal resolution, cost and confounding vascular parameters. By contrast, electrophysiological (e.g. EEG/MEG) recordings provide direct measures of neural activity with excellent temporal resolution, and source localization methodologies can address problems of spatial resolution, permitting measurement of functional activity of brain networks with a spatial resolution similar to that of fMRI. This opens an exciting therapeutic approach focussed on pharmacological and physiological modulation of brain network activity. This review describes current neurophysiological approaches towards evaluating cortical network dysfunction in common neurodegenerative disorders. It explores how modern neurophysiologic tools can provide markers for diagnosis, prognosis, subcategorization and clinical trial outcome measures, and how modulation of brain networks can contribute to new therapeutic approaches.
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spelling pubmed-63708632019-02-21 Neurophysiological markers of network dysfunction in neurodegenerative diseases McMackin, Roisin Bede, Peter Pender, Niall Hardiman, Orla Nasseroleslami, Bahman Neuroimage Clin Regular Article There is strong clinical, imaging and pathological evidence that neurodegeneration is associated with altered brain connectivity. While functional imaging (fMRI) can detect resting and activated states of metabolic activity, its use is limited by poor temporal resolution, cost and confounding vascular parameters. By contrast, electrophysiological (e.g. EEG/MEG) recordings provide direct measures of neural activity with excellent temporal resolution, and source localization methodologies can address problems of spatial resolution, permitting measurement of functional activity of brain networks with a spatial resolution similar to that of fMRI. This opens an exciting therapeutic approach focussed on pharmacological and physiological modulation of brain network activity. This review describes current neurophysiological approaches towards evaluating cortical network dysfunction in common neurodegenerative disorders. It explores how modern neurophysiologic tools can provide markers for diagnosis, prognosis, subcategorization and clinical trial outcome measures, and how modulation of brain networks can contribute to new therapeutic approaches. Elsevier 2019-02-02 /pmc/articles/PMC6370863/ /pubmed/30738372 http://dx.doi.org/10.1016/j.nicl.2019.101706 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
McMackin, Roisin
Bede, Peter
Pender, Niall
Hardiman, Orla
Nasseroleslami, Bahman
Neurophysiological markers of network dysfunction in neurodegenerative diseases
title Neurophysiological markers of network dysfunction in neurodegenerative diseases
title_full Neurophysiological markers of network dysfunction in neurodegenerative diseases
title_fullStr Neurophysiological markers of network dysfunction in neurodegenerative diseases
title_full_unstemmed Neurophysiological markers of network dysfunction in neurodegenerative diseases
title_short Neurophysiological markers of network dysfunction in neurodegenerative diseases
title_sort neurophysiological markers of network dysfunction in neurodegenerative diseases
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370863/
https://www.ncbi.nlm.nih.gov/pubmed/30738372
http://dx.doi.org/10.1016/j.nicl.2019.101706
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