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Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia
Objective: The current study seeks to illustrate potential early and objective neurophysiological biomarkers of neurodegenerative cognitive decline by evaluating features of brain network physiological performance and structure utilizing different modalities. Methods: This study included 17 clinical...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435601/ https://www.ncbi.nlm.nih.gov/pubmed/34526957 http://dx.doi.org/10.3389/fneur.2021.699014 |
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author | Fogel, Hilla Levy-Lamdan, Ofri Zifman, Noa Hiller, Tal Efrati, Shai Suzin, Gil Hack, Dallas C. Dolev, Iftach Tanne, David |
author_facet | Fogel, Hilla Levy-Lamdan, Ofri Zifman, Noa Hiller, Tal Efrati, Shai Suzin, Gil Hack, Dallas C. Dolev, Iftach Tanne, David |
author_sort | Fogel, Hilla |
collection | PubMed |
description | Objective: The current study seeks to illustrate potential early and objective neurophysiological biomarkers of neurodegenerative cognitive decline by evaluating features of brain network physiological performance and structure utilizing different modalities. Methods: This study included 17 clinically healthy individuals with self-reported cognitive decline (Subjective Cognitive Decline group, SCD, no objective finding of cognitive decline), 12 individuals diagnosed with amnestic Mild Cognitive Impairment (aMCI), 11 individuals diagnosed with Dementia, and 15 healthy subjects. All subjects underwent computerized cognitive performance testing, MRI scans including T1 for gray matter (GM) volume quantification, DTI for quantification of white matter (WM) microstructure fractional anisotropy (FA) and mean diffusivity (MD), and brain network function evaluation using DELPHI (TMS-EEG) measures of connectivity, excitability, and plasticity. Results: Both DELPHI analysis of network function and DTI analysis detected a significant decrease in connectivity, excitability, and WM integrity in the SCD group compared to healthy control (HC) subjects; a significant decrease was also noted for aMCI and Dementia groups compared to HC. In contrast, no significant decrease was observed in GM volume in the SCD group compared to healthy norms, a significant GM volume decrease was observed only in objectively cognitively impaired aMCI subjects and in dementia subjects. Conclusions: This study results suggest that objective direct measures of brain network physiology and WM integrity may provide early-stage biomarkers of neurodegenerative-related changes in subjects that have not yet displayed any other objective measurable cognitive or GM volume deficits which may facilitate early preventive care for neurodegenerative decline and dementia. |
format | Online Article Text |
id | pubmed-8435601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84356012021-09-14 Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia Fogel, Hilla Levy-Lamdan, Ofri Zifman, Noa Hiller, Tal Efrati, Shai Suzin, Gil Hack, Dallas C. Dolev, Iftach Tanne, David Front Neurol Neurology Objective: The current study seeks to illustrate potential early and objective neurophysiological biomarkers of neurodegenerative cognitive decline by evaluating features of brain network physiological performance and structure utilizing different modalities. Methods: This study included 17 clinically healthy individuals with self-reported cognitive decline (Subjective Cognitive Decline group, SCD, no objective finding of cognitive decline), 12 individuals diagnosed with amnestic Mild Cognitive Impairment (aMCI), 11 individuals diagnosed with Dementia, and 15 healthy subjects. All subjects underwent computerized cognitive performance testing, MRI scans including T1 for gray matter (GM) volume quantification, DTI for quantification of white matter (WM) microstructure fractional anisotropy (FA) and mean diffusivity (MD), and brain network function evaluation using DELPHI (TMS-EEG) measures of connectivity, excitability, and plasticity. Results: Both DELPHI analysis of network function and DTI analysis detected a significant decrease in connectivity, excitability, and WM integrity in the SCD group compared to healthy control (HC) subjects; a significant decrease was also noted for aMCI and Dementia groups compared to HC. In contrast, no significant decrease was observed in GM volume in the SCD group compared to healthy norms, a significant GM volume decrease was observed only in objectively cognitively impaired aMCI subjects and in dementia subjects. Conclusions: This study results suggest that objective direct measures of brain network physiology and WM integrity may provide early-stage biomarkers of neurodegenerative-related changes in subjects that have not yet displayed any other objective measurable cognitive or GM volume deficits which may facilitate early preventive care for neurodegenerative decline and dementia. Frontiers Media S.A. 2021-08-30 /pmc/articles/PMC8435601/ /pubmed/34526957 http://dx.doi.org/10.3389/fneur.2021.699014 Text en Copyright © 2021 Fogel, Levy-Lamdan, Zifman, Hiller, Efrati, Suzin, Hack, Dolev and Tanne. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Fogel, Hilla Levy-Lamdan, Ofri Zifman, Noa Hiller, Tal Efrati, Shai Suzin, Gil Hack, Dallas C. Dolev, Iftach Tanne, David Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia |
title | Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia |
title_full | Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia |
title_fullStr | Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia |
title_full_unstemmed | Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia |
title_short | Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia |
title_sort | brain network integrity changes in subjective cognitive decline: a possible physiological biomarker of dementia |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435601/ https://www.ncbi.nlm.nih.gov/pubmed/34526957 http://dx.doi.org/10.3389/fneur.2021.699014 |
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