Cargando…

Association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: A meta-analysis of diffusion tensor imaging

OBJECTIVE: To investigate the association between diffusion tensor imaging (DTI) findings and domain-specific cognitive impairment in cerebral small vessel disease (CSVD). METHODS: Databases such as PubMed, Excerpta Medical Database (EMBASE), Web of Science, Cochrane Library, Chinese National Knowle...

Descripción completa

Detalles Bibliográficos
Autores principales: Xie, Yao, Xie, Le, Kang, Fuliang, Jiang, Junlin, Yao, Ting, Mao, Guo, Fang, Rui, Fan, Jianhu, Wu, Dahua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722766/
https://www.ncbi.nlm.nih.gov/pubmed/36483114
http://dx.doi.org/10.3389/fnagi.2022.1019088
_version_ 1784844028224733184
author Xie, Yao
Xie, Le
Kang, Fuliang
Jiang, Junlin
Yao, Ting
Mao, Guo
Fang, Rui
Fan, Jianhu
Wu, Dahua
author_facet Xie, Yao
Xie, Le
Kang, Fuliang
Jiang, Junlin
Yao, Ting
Mao, Guo
Fang, Rui
Fan, Jianhu
Wu, Dahua
author_sort Xie, Yao
collection PubMed
description OBJECTIVE: To investigate the association between diffusion tensor imaging (DTI) findings and domain-specific cognitive impairment in cerebral small vessel disease (CSVD). METHODS: Databases such as PubMed, Excerpta Medical Database (EMBASE), Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure Databases (CNKI), Wanfang, Chinese Biomedical Literature Database (SinoMed), and Chongqing Chinese Science and Technology Periodical Database (VIP) were comprehensively retrieved for studies that reported correlation coefficients between cognition and DTI values. Random effects models and meta-regression were applied to account for heterogeneity among study results. Subgroup and publication bias analyses were performed using Stata software. RESULTS: Seventy-seven studies involving 6,558 participants were included in our meta-analysis. The diagnosis classification included CSVD, white matter hyperintensities (WMH), subcortical ischemic vascular disease, cerebral microbleeding, cerebral amyloid angiopathy (CAA), cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), and Fabry disease. The pooled estimates showed that the fractional anisotropy (FA)-overall exhibited a moderate correlation with general cognition, executive function, attention, construction, and motor performance (r = 0.451, 0.339, 0.410, and 0.319), and the mean diffusitivity/apparent diffusion coefficient (MD/ADC)-overall was moderately associated with general cognition, executive function, and memory (r = −0.388, −0.332, and −0.303, respectively; p(s) < 0.05). Moreover, FA in cingulate gyrus (CG), cerebral peduncle (CP), corona radiata (CR), external capsule (EC), frontal lobe (FL), fornix (FOR), internal capsule (IC), and thalamic radiation (TR) was strongly correlated with general cognition (r = 0.591, 0.584, 0.543, 0.662, 0.614, 0.543, 0.597, and 0.571), and a strong correlation was found between MD/ADC and CG (r = −0.526), normal-appearing white matter (NAWM; r = −0.546), and whole brain white matter (WBWM; r = −0.505). FA in fronto-occipital fasciculus (FOF) (r = 0.523) and FL (r = 0.509) was strongly associated with executive function. Only MD/ADC of the corpus callosum (CC) was strongly associated with memory (r = −0.730). Besides, FA in CG (r = 0.532), CC (r = 0.538), and FL (r = 0.732) was strongly related to the attention domain. Finally, we found that the sample size, etiology, magnetic resonance imaging (MRI) magnet strength, study type, and study quality contributed to interstudy heterogeneity. CONCLUSION: Lower FA or higher MD/ADC values were related to more severe cognitive impairment. General cognition and executive function domains attracted the greatest interest. The FL was commonly examined and strongly associated with general cognition, executive function, and attention. The CC was strongly associated with memory and attention. The CG was strongly related to general cognition and attention. The CR, IC, and TR were also strongly related to general cognition. Indeed, these results should be validated in high-quality prospective studies with larger sample sizes. SYSTEMATIC REVIEW REGISTRATION: http://www.crd.york.ac.uk/PROSPERO, identifier: CRD42021226133.
format Online
Article
Text
id pubmed-9722766
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97227662022-12-07 Association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: A meta-analysis of diffusion tensor imaging Xie, Yao Xie, Le Kang, Fuliang Jiang, Junlin Yao, Ting Mao, Guo Fang, Rui Fan, Jianhu Wu, Dahua Front Aging Neurosci Aging Neuroscience OBJECTIVE: To investigate the association between diffusion tensor imaging (DTI) findings and domain-specific cognitive impairment in cerebral small vessel disease (CSVD). METHODS: Databases such as PubMed, Excerpta Medical Database (EMBASE), Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure Databases (CNKI), Wanfang, Chinese Biomedical Literature Database (SinoMed), and Chongqing Chinese Science and Technology Periodical Database (VIP) were comprehensively retrieved for studies that reported correlation coefficients between cognition and DTI values. Random effects models and meta-regression were applied to account for heterogeneity among study results. Subgroup and publication bias analyses were performed using Stata software. RESULTS: Seventy-seven studies involving 6,558 participants were included in our meta-analysis. The diagnosis classification included CSVD, white matter hyperintensities (WMH), subcortical ischemic vascular disease, cerebral microbleeding, cerebral amyloid angiopathy (CAA), cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), and Fabry disease. The pooled estimates showed that the fractional anisotropy (FA)-overall exhibited a moderate correlation with general cognition, executive function, attention, construction, and motor performance (r = 0.451, 0.339, 0.410, and 0.319), and the mean diffusitivity/apparent diffusion coefficient (MD/ADC)-overall was moderately associated with general cognition, executive function, and memory (r = −0.388, −0.332, and −0.303, respectively; p(s) < 0.05). Moreover, FA in cingulate gyrus (CG), cerebral peduncle (CP), corona radiata (CR), external capsule (EC), frontal lobe (FL), fornix (FOR), internal capsule (IC), and thalamic radiation (TR) was strongly correlated with general cognition (r = 0.591, 0.584, 0.543, 0.662, 0.614, 0.543, 0.597, and 0.571), and a strong correlation was found between MD/ADC and CG (r = −0.526), normal-appearing white matter (NAWM; r = −0.546), and whole brain white matter (WBWM; r = −0.505). FA in fronto-occipital fasciculus (FOF) (r = 0.523) and FL (r = 0.509) was strongly associated with executive function. Only MD/ADC of the corpus callosum (CC) was strongly associated with memory (r = −0.730). Besides, FA in CG (r = 0.532), CC (r = 0.538), and FL (r = 0.732) was strongly related to the attention domain. Finally, we found that the sample size, etiology, magnetic resonance imaging (MRI) magnet strength, study type, and study quality contributed to interstudy heterogeneity. CONCLUSION: Lower FA or higher MD/ADC values were related to more severe cognitive impairment. General cognition and executive function domains attracted the greatest interest. The FL was commonly examined and strongly associated with general cognition, executive function, and attention. The CC was strongly associated with memory and attention. The CG was strongly related to general cognition and attention. The CR, IC, and TR were also strongly related to general cognition. Indeed, these results should be validated in high-quality prospective studies with larger sample sizes. SYSTEMATIC REVIEW REGISTRATION: http://www.crd.york.ac.uk/PROSPERO, identifier: CRD42021226133. Frontiers Media S.A. 2022-11-22 /pmc/articles/PMC9722766/ /pubmed/36483114 http://dx.doi.org/10.3389/fnagi.2022.1019088 Text en Copyright © 2022 Xie, Xie, Kang, Jiang, Yao, Mao, Fang, Fan and Wu. 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 Aging Neuroscience
Xie, Yao
Xie, Le
Kang, Fuliang
Jiang, Junlin
Yao, Ting
Mao, Guo
Fang, Rui
Fan, Jianhu
Wu, Dahua
Association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: A meta-analysis of diffusion tensor imaging
title Association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: A meta-analysis of diffusion tensor imaging
title_full Association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: A meta-analysis of diffusion tensor imaging
title_fullStr Association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: A meta-analysis of diffusion tensor imaging
title_full_unstemmed Association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: A meta-analysis of diffusion tensor imaging
title_short Association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: A meta-analysis of diffusion tensor imaging
title_sort association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: a meta-analysis of diffusion tensor imaging
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722766/
https://www.ncbi.nlm.nih.gov/pubmed/36483114
http://dx.doi.org/10.3389/fnagi.2022.1019088
work_keys_str_mv AT xieyao associationbetweenwhitematteralterationsanddomainspecificcognitiveimpairmentincerebralsmallvesseldiseaseametaanalysisofdiffusiontensorimaging
AT xiele associationbetweenwhitematteralterationsanddomainspecificcognitiveimpairmentincerebralsmallvesseldiseaseametaanalysisofdiffusiontensorimaging
AT kangfuliang associationbetweenwhitematteralterationsanddomainspecificcognitiveimpairmentincerebralsmallvesseldiseaseametaanalysisofdiffusiontensorimaging
AT jiangjunlin associationbetweenwhitematteralterationsanddomainspecificcognitiveimpairmentincerebralsmallvesseldiseaseametaanalysisofdiffusiontensorimaging
AT yaoting associationbetweenwhitematteralterationsanddomainspecificcognitiveimpairmentincerebralsmallvesseldiseaseametaanalysisofdiffusiontensorimaging
AT maoguo associationbetweenwhitematteralterationsanddomainspecificcognitiveimpairmentincerebralsmallvesseldiseaseametaanalysisofdiffusiontensorimaging
AT fangrui associationbetweenwhitematteralterationsanddomainspecificcognitiveimpairmentincerebralsmallvesseldiseaseametaanalysisofdiffusiontensorimaging
AT fanjianhu associationbetweenwhitematteralterationsanddomainspecificcognitiveimpairmentincerebralsmallvesseldiseaseametaanalysisofdiffusiontensorimaging
AT wudahua associationbetweenwhitematteralterationsanddomainspecificcognitiveimpairmentincerebralsmallvesseldiseaseametaanalysisofdiffusiontensorimaging