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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Human Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2023.1068216/full |
| _version_ | 1797924519370817536 |
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| author | Lucia Torres-Simon Lucia Torres-Simon Pablo Cuesta Pablo Cuesta Pablo Cuesta Alberto del Cerro-Leon Alberto del Cerro-Leon Brenda Chino Brenda Chino Lucia H. Orozco Elisabeth B. Marsh Pedro Gil Pedro Gil Fernando Maestu Fernando Maestu Fernando Maestu |
| author_facet | Lucia Torres-Simon Lucia Torres-Simon Pablo Cuesta Pablo Cuesta Pablo Cuesta Alberto del Cerro-Leon Alberto del Cerro-Leon Brenda Chino Brenda Chino Lucia H. Orozco Elisabeth B. Marsh Pedro Gil Pedro Gil Fernando Maestu Fernando Maestu Fernando Maestu |
| author_sort | Lucia Torres-Simon |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T15:02:13Z |
| format | Article |
| id | doaj.art-969012d0e63d4d05b96e3b47a2f8d202 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-04-10T15:02:13Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-969012d0e63d4d05b96e3b47a2f8d2022023-02-15T09:49:27ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612023-02-011710.3389/fnhum.2023.10682161068216The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairmentLucia Torres-Simon0Lucia Torres-Simon1Pablo Cuesta2Pablo Cuesta3Pablo Cuesta4Alberto del Cerro-Leon5Alberto del Cerro-Leon6Brenda Chino7Brenda Chino8Lucia H. Orozco9Elisabeth B. Marsh10Pedro Gil11Pedro Gil12Fernando Maestu13Fernando Maestu14Fernando Maestu15Center of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, SpainDepartment of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid (UCM), Madrid, SpainCenter of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, SpainDepartment of Radiology, Rehabilitation, and Physiotherapy, Universidad Complutense de Madrid (UCM), Madrid, SpainInstituto de investigación Sanitaria San Carlos (IdISSC), Madrid, SpainCenter of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, SpainDepartment of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid (UCM), Madrid, SpainCenter of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, SpainInstitute of Neuroscience, Autonomous University of Barcelona (UAB), Barcelona, SpainCenter of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, SpainDepartment of Neurology, The Johns Hopkins School of Medicine, Baltimore, MD, United StatesInstituto de investigación Sanitaria San Carlos (IdISSC), Madrid, SpainDepartment of Geriatric Medicine, Hospital Universitario San Carlos, Madrid, SpainCenter of Cognitive and Computational Neuroscience, Universidad Complutense de Madrid (UCM), Madrid, SpainDepartment of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid (UCM), Madrid, SpainInstituto de investigación Sanitaria San Carlos (IdISSC), Madrid, SpainCerebrovascular 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.https://www.frontiersin.org/articles/10.3389/fnhum.2023.1068216/fullcerebrovascular disease (CVD)small vessel cerebral diseasewhite matter hyperintensitesmild cognitive impairmentmagnetoencephalography (MEG)power spectra analysis |
| spellingShingle | Lucia Torres-Simon Lucia Torres-Simon Pablo Cuesta Pablo Cuesta Pablo Cuesta Alberto del Cerro-Leon Alberto del Cerro-Leon Brenda Chino Brenda Chino Lucia H. Orozco Elisabeth B. Marsh Pedro Gil Pedro Gil Fernando Maestu Fernando Maestu Fernando Maestu The effects of white matter hyperintensities on MEG power spectra in population with mild cognitive impairment Frontiers in Human Neuroscience cerebrovascular disease (CVD) small vessel cerebral disease white matter hyperintensites mild cognitive impairment magnetoencephalography (MEG) power spectra analysis |
| 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 | cerebrovascular disease (CVD) small vessel cerebral disease white matter hyperintensites mild cognitive impairment magnetoencephalography (MEG) power spectra analysis |
| url | https://www.frontiersin.org/articles/10.3389/fnhum.2023.1068216/full |
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