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Tract-Specific Correlates of Neuropsychological Deficits in Patients with Subcortical Vascular Cognitive Impairment

Authors
Jung, Na-YeonHan, Cheol E.Kim, Hee JinYoo, Sang WookKim, Hee-JongKim, Eun-JooNa, Duk L.Lockhart, Samuel N.Jagust, William J.Seong, Joon-KyungSeo, Sang Won
Issue Date
2016
Publisher
IOS PRESS
Keywords
Diffusion-tensor imaging; neuropsychological correlation; subcortical vascular cognitive impairment; tract-specific statistical analysis; white matter connectivity
Citation
JOURNAL OF ALZHEIMERS DISEASE, v.50, no.4, pp.1125 - 1135
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF ALZHEIMERS DISEASE
Volume
50
Number
4
Start Page
1125
End Page
1135
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/90143
DOI
10.3233/JAD-150841
ISSN
1387-2877
Abstract
The white matter tract-specific correlates of neuropsychological deficits are not fully established in patients with subcortical vascular cognitive impairment (SVCI), where white matter tract damage may be a critical factor in cognitive impairment. The purpose of this study is to investigate the tract-specific correlates of neuropsychological deficits in SVCI patients using tract-specific statistical analysis (TSSA). We prospectively recruited 114 SVCI patients, and 55 age-, gender-, and education-matched individuals with normal cognition (NC). All participants underwent diffusion weighted imaging and neuropsychological testing. We classified tractography results into fourteen major fiber tracts and analyzed group comparison and correlation with cognitive impairments. Relative to NC subjects, SVCI patients showed decreased fractional anisotropy values in bilateral anterior-thalamic radiation, cingulum, superior-longitudinal fasciculus, uncinate fasciculus, corticospinal tract, and left inferior-longitudinal fasciculus. Focal disruptions in specific tracts were associated with specific cognitive impairments. Our findings suggest that disconnection of specific white matter tracts, especially those neighboring and providing connections between gray matter regions important to certain cognitive functions, may contribute to specific cognitive impairments in SVCI.
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