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Total MRI Small Vessel Disease Burden Correlates with Cognitive Performance, Cortical Atrophy, and Network Measures in a Memory Clinic Populationopen access

Authors
Banerjee, GargiJang, HyeminKim, Hee JinKim, Sung TaeKim, Jae SeungLee, Jae HongIm, KihoKwon, HunkiLee, Jong MinNa, Duk L.Seo, Sang WonWerring, David John
Issue Date
May-2018
Publisher
IOS PRESS
Keywords
Alzheimer' s disease; cerebral small vessel diseases; cognitive dysfunction; magnetic resonance imaging; positronemission tomography; vascular dementia
Citation
JOURNAL OF ALZHEIMERS DISEASE, v.63, no.4, pp.1485 - 1497
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF ALZHEIMERS DISEASE
Volume
63
Number
4
Start Page
1485
End Page
1497
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150079
DOI
10.3233/JAD-170943
ISSN
1387-2877
Abstract
Background: Recent evidence suggests that combining individual imaging markers of cerebral small vessel disease (SVD) may more accurately reflect its overall burden and better correlate with clinical measures. Objective: We wished to establish the clinical relevance of the total SVD score in a memory clinic population by investigating the association with SVD score and cognitive performance, cortical atrophy, and structural network measures, after adjusting for amyloid-beta burden. Methods: We included 243 patients with amnestic mild cognitive impairment (MCI), Alzheimer's disease dementia, subcortical vascular MCI, or subcortical vascular dementia. All underwent MR and [C-11] PiB- PET scanning and had standardized cognitive testing. Multiple linear regression was used to evaluate the relationships between SVD score and cognition, cortical thickness, and structural network measures. Path analyses were performed to evaluate whether network disruption mediates the effects of SVD score on cortical thickness and cognition. Results: Total SVD score was associated with the performance of frontal (beta-4.31, SE 2.09, p = 0.040) and visuospatial (beta-0.95, SE 0.44, p = 0.032) tasks, and with reduced cortical thickness in widespread brain regions. Total SVD score was negatively correlated with nodal efficiency, as well as changes in brain network organization, with evidence of reduced integration and increasing segregation. Path analyses showed that the associations between SVD score and frontal and visuospatial scores were partially mediated by decreases in their corresponding nodal efficiency and cortical thickness. Conclusion: Total SVD burden has clinical relevance in a memory clinic population and correlates with cognition, and cortical atrophy, as well as structural network disruption.
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