TY - JOUR
T1 - The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment
AU - Torres-Simon, Lucia
AU - Cuesta, Pablo
AU - del Cerro-Leon, Alberto
AU - Chino, Brenda
AU - Orozco, Lucia H.
AU - Marsh, Elisabeth B.
AU - Gil, Pedro
AU - Maestu, Fernando
N1 - Funding Information:
LT-S acknowledges the financial support of predoctoral researchers grant from Universidad Complutense de Madrid (CT42/18-CT43/18) and co-funded by Santander bank. Additionally, BC acknowledges the financial support of the National Council of Science, Technology and Technological Innovation (CONCYTEC, Perú) through the National Fund for Scientific and Technological Development (FONDECYT, Perú). Finally, all the authors acknowledge the financial support from the Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC). The authors declare that this study received co-funding from Santander Bank. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.
Funding Information:
LT-S acknowledges the financial support of predoctoral researchers grant from Universidad Complutense de Madrid (CT42/18-CT43/18) and co-funded by Santander bank. Additionally, BC acknowledges the financial support of the National Council of Science, Technology and Technological Innovation (CONCYTEC, Perú) through the National Fund for Scientific and Technological Development (FONDECYT, Perú). Finally, all the authors acknowledge the financial support from the Fundación Canaria Instituto de Investigación Sanitaria de Canarias (FIISC). The authors declare that this study received co-funding from Santander Bank. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.
Publisher Copyright:
Copyright © 2023 Torres-Simon, Cuesta, del Cerro-Leon, Chino, Orozco, Marsh, Gil and Maestu.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - cerebrovascular disease (CVD)
KW - magnetoencephalography (MEG)
KW - mild cognitive impairment
KW - power spectra analysis
KW - small vessel cerebral disease
KW - white matter hyperintensites
UR - https://www.scopus.com/pages/publications/85149537049
UR - https://www.scopus.com/pages/publications/85149537049#tab=citedBy
U2 - 10.3389/fnhum.2023.1068216
DO - 10.3389/fnhum.2023.1068216
M3 - Article
C2 - 36875239
AN - SCOPUS:85149537049
SN - 1662-5161
VL - 17
JO - Frontiers in Human Neuroscience
JF - Frontiers in Human Neuroscience
M1 - 1068216
ER -