{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T23:19:14Z","timestamp":1793834354871,"version":"4.6.1"},"reference-count":27,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T00:00:00Z","timestamp":1669075200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Aging Neurosci."],"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>To investigate the association between diffusion tensor imaging (DTI) findings and domain-specific cognitive impairment in cerebral small vessel disease (CSVD).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>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 (<jats:italic>r<\/jats:italic> = 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 (<jats:italic>r<\/jats:italic> = \u22120.388, \u22120.332, and \u22120.303, respectively; <jats:italic>p<\/jats:italic><jats:sub><jats:italic>s<\/jats:italic><\/jats:sub> &amp;lt; 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 (<jats:italic>r<\/jats:italic> = 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 (<jats:italic>r<\/jats:italic> = \u22120.526), normal-appearing white matter (NAWM; <jats:italic>r<\/jats:italic> = \u22120.546), and whole brain white matter (WBWM; <jats:italic>r<\/jats:italic> = \u22120.505). FA in fronto-occipital fasciculus (FOF) (<jats:italic>r<\/jats:italic> = 0.523) and FL (<jats:italic>r<\/jats:italic> = 0.509) was strongly associated with executive function. Only MD\/ADC of the corpus callosum (CC) was strongly associated with memory (<jats:italic>r<\/jats:italic> = \u22120.730). Besides, FA in CG (<jats:italic>r<\/jats:italic> = 0.532), CC (<jats:italic>r<\/jats:italic> = 0.538), and FL (<jats:italic>r<\/jats:italic> = 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Systematic review registration<\/jats:title><jats:p><jats:ext-link>http:\/\/www.crd.york.ac.uk\/PROSPERO<\/jats:ext-link>, identifier: CRD42021226133.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fnagi.2022.1019088","type":"journal-article","created":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T04:50:58Z","timestamp":1669092658000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":24,"title":["Association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: A meta-analysis of diffusion tensor imaging"],"prefix":"10.3389","volume":"14","author":[{"given":"Yao","family":"Xie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Le","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuliang","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junlin","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guo","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianhu","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dahua","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,11,22]]},"reference":[{"key":"B1","doi-asserted-by":"crossref","DOI":"10.1002\/9780470743386","volume-title":"Introduction to Meta-analysis","author":"Borenstein","year":"2009"},{"key":"B2","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1212\/WNL.0000000000007654","article-title":"CNS small vessel disease: a clinical review","volume":"92","author":"Cannistraro","year":"2019","journal-title":"Neurology"},{"key":"B3","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/0197-2456(86)90046-2","article-title":"Meta-analysis in clinical trials","volume":"7","author":"DerSimonian","year":"1986","journal-title":"Control. 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