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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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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. |
format | Online Article Text |
id | pubmed-6370863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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