203 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author이종민-
dc.date.accessioned2019-12-07T23:48:20Z-
dc.date.available2019-12-07T23:48:20Z-
dc.date.issued2018-05-
dc.identifier.citationJOURNAL OF ALZHEIMERS DISEASE, v. 63, no. 4, page. 1485-1497en_US
dc.identifier.issn1387-2877-
dc.identifier.issn1875-8908-
dc.identifier.urihttps://content.iospress.com/articles/journal-of-alzheimers-disease/jad170943-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/118545-
dc.description.abstractBackground: 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.en_US
dc.description.sponsorshipGB receives funding from the Rosetrees Trust. HJK receives funding from the National Research Foundation of Korea (NRF-2015R1C1A2A01053 281). SWS receives funding from the Brain Research Program through the National Research Foundation of Korea (NRF-2016M3C7A1913844), Health Technology R&D Project through Korea Ministry of Health & Welfare (HI17C1915), and Korea Ministry of Environment (MOE-2014001360002). DJW receives research support from the Stroke Association, the British Heart Foundation and the Rosetrees Trust. Part of this work was undertaken at UCLH/UCL which receives a proportion of funding from the Department of Health's National Institute for Health Research (NIHR) Biomedical Research Centres funding scheme.en_US
dc.language.isoen_USen_US
dc.publisherIOS PRESSen_US
dc.subjectAlzheimer's diseaseen_US
dc.subjectcerebral small vessel diseasesen_US
dc.subjectcognitive dysfunctionen_US
dc.subjectmagnetic resonance imagingen_US
dc.subjectpositronemission tomographyen_US
dc.subjectvascular dementiaen_US
dc.titleTotal MRI Small Vessel Disease Burden Correlates with Cognitive Performance, Cortical Atrophy, and Network Measures in a Memory Clinic Populationen_US
dc.typeArticleen_US
dc.relation.no4-
dc.relation.volume63-
dc.identifier.doi10.3233/JAD-170943-
dc.relation.page1485-1497-
dc.relation.journalJOURNAL OF ALZHEIMERS DISEASE-
dc.contributor.googleauthorBanerjee, Gargi-
dc.contributor.googleauthorJang, Hyemin-
dc.contributor.googleauthorKim, Hee Jin-
dc.contributor.googleauthorKim, Sung Tae-
dc.contributor.googleauthorKim, Jae Seung-
dc.contributor.googleauthorLee, Jae Hong-
dc.contributor.googleauthorIm, Kiho-
dc.contributor.googleauthorKwon, Hunki-
dc.contributor.googleauthorLee, Jong Min-
dc.contributor.googleauthorNa, Duk L.-
dc.relation.code2018008431-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING-
dc.identifier.pidljm-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE