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Frequency-dependent white-matter functional network changes associated with cognitive deficits in subcortical vascular cognitive impairment
Vascular cognitive impairment (VCI) refers to all forms of cognitive decline associated with cerebrovascular diseases, in which white matter (WM) is highly vulnerable. Although previous studies have shown that blood oxygen level-dependent (BOLD) signals inside WM can effectively reflect neural activ...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668649/ https://www.ncbi.nlm.nih.gov/pubmed/36451351 http://dx.doi.org/10.1016/j.nicl.2022.103245 |
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author | Ma, Juanwei Liu, Feng Wang, Yang Ma, Lin Niu, Yali Wang, Jing Ye, Zhaoxiang Zhang, Jing |
author_facet | Ma, Juanwei Liu, Feng Wang, Yang Ma, Lin Niu, Yali Wang, Jing Ye, Zhaoxiang Zhang, Jing |
author_sort | Ma, Juanwei |
collection | PubMed |
description | Vascular cognitive impairment (VCI) refers to all forms of cognitive decline associated with cerebrovascular diseases, in which white matter (WM) is highly vulnerable. Although previous studies have shown that blood oxygen level-dependent (BOLD) signals inside WM can effectively reflect neural activities, whether WM BOLD signal alterations are present and their roles underlying cognitive impairment in VCI remain largely unknown. In this study, 36 subcortical VCI (SVCI) patients and 36 healthy controls were enrolled to evaluate WM dysfunction. Specifically, fourteen distinct WM networks were identified from resting-state functional MRI using K-means clustering analysis. Subsequently, between-network functional connectivity (FC) and within-network BOLD signal amplitude of WM networks were calculated in three frequency bands (band A: 0.01–0.15 Hz, band B: 0.08–0.15 Hz, and band C: 0.01–0.08 Hz). Patients with SVCI manifested decreased FC mainly in bilateral parietal WM regions, forceps major, superior and inferior longitudinal fasciculi. These connections extensively linked with distinct WM networks and with gray-matter networks such as frontoparietal control, dorsal and ventral attention networks, which exhibited frequency-specific alterations in SVCI. Additionally, extensive amplitude reductions were found in SVCI, showing frequency-dependent properties in parietal, anterior corona radiate, pre/post central, superior and inferior longitudinal fasciculus networks. Furthermore, these decreased FC and amplitudes showed significant positive correlations with cognitive performances in SVCI, and high diagnostic performances for SVCI especially combining all bands. Our study indicated that VCI-related cognitive deficits were characterized by frequency-dependent WM functional abnormalities, which offered novel applicable neuromarkers for VCI. |
format | Online Article Text |
id | pubmed-9668649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96686492022-11-18 Frequency-dependent white-matter functional network changes associated with cognitive deficits in subcortical vascular cognitive impairment Ma, Juanwei Liu, Feng Wang, Yang Ma, Lin Niu, Yali Wang, Jing Ye, Zhaoxiang Zhang, Jing Neuroimage Clin Regular Article Vascular cognitive impairment (VCI) refers to all forms of cognitive decline associated with cerebrovascular diseases, in which white matter (WM) is highly vulnerable. Although previous studies have shown that blood oxygen level-dependent (BOLD) signals inside WM can effectively reflect neural activities, whether WM BOLD signal alterations are present and their roles underlying cognitive impairment in VCI remain largely unknown. In this study, 36 subcortical VCI (SVCI) patients and 36 healthy controls were enrolled to evaluate WM dysfunction. Specifically, fourteen distinct WM networks were identified from resting-state functional MRI using K-means clustering analysis. Subsequently, between-network functional connectivity (FC) and within-network BOLD signal amplitude of WM networks were calculated in three frequency bands (band A: 0.01–0.15 Hz, band B: 0.08–0.15 Hz, and band C: 0.01–0.08 Hz). Patients with SVCI manifested decreased FC mainly in bilateral parietal WM regions, forceps major, superior and inferior longitudinal fasciculi. These connections extensively linked with distinct WM networks and with gray-matter networks such as frontoparietal control, dorsal and ventral attention networks, which exhibited frequency-specific alterations in SVCI. Additionally, extensive amplitude reductions were found in SVCI, showing frequency-dependent properties in parietal, anterior corona radiate, pre/post central, superior and inferior longitudinal fasciculus networks. Furthermore, these decreased FC and amplitudes showed significant positive correlations with cognitive performances in SVCI, and high diagnostic performances for SVCI especially combining all bands. Our study indicated that VCI-related cognitive deficits were characterized by frequency-dependent WM functional abnormalities, which offered novel applicable neuromarkers for VCI. Elsevier 2022-10-25 /pmc/articles/PMC9668649/ /pubmed/36451351 http://dx.doi.org/10.1016/j.nicl.2022.103245 Text en © 2022 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Ma, Juanwei Liu, Feng Wang, Yang Ma, Lin Niu, Yali Wang, Jing Ye, Zhaoxiang Zhang, Jing Frequency-dependent white-matter functional network changes associated with cognitive deficits in subcortical vascular cognitive impairment |
title | Frequency-dependent white-matter functional network changes associated with cognitive deficits in subcortical vascular cognitive impairment |
title_full | Frequency-dependent white-matter functional network changes associated with cognitive deficits in subcortical vascular cognitive impairment |
title_fullStr | Frequency-dependent white-matter functional network changes associated with cognitive deficits in subcortical vascular cognitive impairment |
title_full_unstemmed | Frequency-dependent white-matter functional network changes associated with cognitive deficits in subcortical vascular cognitive impairment |
title_short | Frequency-dependent white-matter functional network changes associated with cognitive deficits in subcortical vascular cognitive impairment |
title_sort | frequency-dependent white-matter functional network changes associated with cognitive deficits in subcortical vascular cognitive impairment |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668649/ https://www.ncbi.nlm.nih.gov/pubmed/36451351 http://dx.doi.org/10.1016/j.nicl.2022.103245 |
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