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The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment
Cerebrovascular disease is responsible for up to 20% of cases of dementia worldwide, but also it is a major comorbid contributor to the progression of other neurodegenerative diseases, like Alzheimer’s disease. White matter hyperintensities (WMH) are the most prevalent imaging marker in cerebrovascu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977191/ https://www.ncbi.nlm.nih.gov/pubmed/36875239 http://dx.doi.org/10.3389/fnhum.2023.1068216 |
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author | Torres-Simon, Lucia Cuesta, Pablo del Cerro-Leon, Alberto Chino, Brenda Orozco, Lucia H. Marsh, Elisabeth B. Gil, Pedro Maestu, Fernando |
author_facet | Torres-Simon, Lucia Cuesta, Pablo del Cerro-Leon, Alberto Chino, Brenda Orozco, Lucia H. Marsh, Elisabeth B. Gil, Pedro Maestu, Fernando |
author_sort | Torres-Simon, Lucia |
collection | PubMed |
description | Cerebrovascular disease is responsible for up to 20% of cases of dementia worldwide, but also it is a major comorbid contributor to the progression of other neurodegenerative diseases, like Alzheimer’s disease. White matter hyperintensities (WMH) are the most prevalent imaging marker in cerebrovascular disease. The presence and progression of WMH in the brain have been associated with general cognitive impairment and the risk to develop all types of dementia. The aim of this piece of work is the assessment of brain functional differences in an MCI population based on the WMH volume. One-hundred and twenty-nine individuals with mild cognitive impairment (MCI) underwent a neuropsychological evaluation, MRI assessment (T1 and Flair), and MEG recordings (5 min of eyes closed resting state). Those participants were further classified into vascular MCI (vMCI; n = 61, mean age 75 ± 4 years, 35 females) or non-vascular MCI (nvMCI; n = 56, mean age 72 ± 5 years, 36 females) according to their WMH total volume, assessed with an automatic detection toolbox, LST (SPM12). We used a completely data-driven approach to evaluate the differences in the power spectra between the groups. Interestingly, three clusters emerged: One cluster with widespread larger theta power and two clusters located in both temporal regions with smaller beta power for vMCI compared to nvMCI. Those power signatures were also associated with cognitive performance and hippocampal volume. Early identification and classification of dementia pathogenesis is a crucially important goal for the search for more effective management approaches. These findings could help to understand and try to palliate the contribution of WMH to particular symptoms in mixed dementia progress. |
format | Online Article Text |
id | pubmed-9977191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99771912023-03-02 The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment Torres-Simon, Lucia Cuesta, Pablo del Cerro-Leon, Alberto Chino, Brenda Orozco, Lucia H. Marsh, Elisabeth B. Gil, Pedro Maestu, Fernando Front Hum Neurosci Human Neuroscience Cerebrovascular disease is responsible for up to 20% of cases of dementia worldwide, but also it is a major comorbid contributor to the progression of other neurodegenerative diseases, like Alzheimer’s disease. White matter hyperintensities (WMH) are the most prevalent imaging marker in cerebrovascular disease. The presence and progression of WMH in the brain have been associated with general cognitive impairment and the risk to develop all types of dementia. The aim of this piece of work is the assessment of brain functional differences in an MCI population based on the WMH volume. One-hundred and twenty-nine individuals with mild cognitive impairment (MCI) underwent a neuropsychological evaluation, MRI assessment (T1 and Flair), and MEG recordings (5 min of eyes closed resting state). Those participants were further classified into vascular MCI (vMCI; n = 61, mean age 75 ± 4 years, 35 females) or non-vascular MCI (nvMCI; n = 56, mean age 72 ± 5 years, 36 females) according to their WMH total volume, assessed with an automatic detection toolbox, LST (SPM12). We used a completely data-driven approach to evaluate the differences in the power spectra between the groups. Interestingly, three clusters emerged: One cluster with widespread larger theta power and two clusters located in both temporal regions with smaller beta power for vMCI compared to nvMCI. Those power signatures were also associated with cognitive performance and hippocampal volume. Early identification and classification of dementia pathogenesis is a crucially important goal for the search for more effective management approaches. These findings could help to understand and try to palliate the contribution of WMH to particular symptoms in mixed dementia progress. Frontiers Media S.A. 2023-02-15 /pmc/articles/PMC9977191/ /pubmed/36875239 http://dx.doi.org/10.3389/fnhum.2023.1068216 Text en Copyright © 2023 Torres-Simon, Cuesta, del Cerro-Leon, Chino, Orozco, Marsh, Gil and Maestu. 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 | Human Neuroscience Torres-Simon, Lucia Cuesta, Pablo del Cerro-Leon, Alberto Chino, Brenda Orozco, Lucia H. Marsh, Elisabeth B. Gil, Pedro Maestu, Fernando The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment |
title | The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment |
title_full | The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment |
title_fullStr | The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment |
title_full_unstemmed | The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment |
title_short | The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment |
title_sort | effects of white matter hyperintensities on meg power spectra in population with mild cognitive impairment |
topic | Human Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977191/ https://www.ncbi.nlm.nih.gov/pubmed/36875239 http://dx.doi.org/10.3389/fnhum.2023.1068216 |
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