Prediction of 7-year's conversion from subjective cognitive decline to mild cognitive impairment
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yue, Ling | - |
dc.contributor.author | Hu, Dan | - |
dc.contributor.author | Zhang, Han | - |
dc.contributor.author | Wen, Junhao | - |
dc.contributor.author | Wu, Ye | - |
dc.contributor.author | Li, Wei | - |
dc.contributor.author | Sun, Lin | - |
dc.contributor.author | Li, Xia | - |
dc.contributor.author | Wang, Jinghua | - |
dc.contributor.author | Li, Guanjun | - |
dc.contributor.author | Wang, Tao | - |
dc.contributor.author | Shen, Dinggang | - |
dc.contributor.author | Xiao, Shifu | - |
dc.date.accessioned | 2021-08-30T04:42:00Z | - |
dc.date.available | 2021-08-30T04:42:00Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2021-01 | - |
dc.identifier.issn | 1065-9471 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/50306 | - |
dc.description.abstract | Subjective cognitive decline (SCD) is a high-risk yet less understood status before developing Alzheimer's disease (AD). This work included 76 SCD individuals with two (baseline and 7 years later) neuropsychological evaluations and a baseline T1-weighted structural MRI. A machine learning-based model was trained based on 198 baseline neuroimaging (morphometric) features and a battery of 25 clinical measurements to discriminate 24 progressive SCDs who converted to mild cognitive impairment (MCI) at follow-up from 52 stable SCDs. The SCD progression was satisfactorily predicted with the combined features. A history of stroke, a low education level, a low baseline MoCA score, a shrunk left amygdala, and enlarged white matter at the banks of the right superior temporal sulcus were found to favor the progression. This is to date the largest retrospective study of SCD-to-MCI conversion with the longest follow-up, suggesting predictable far-future cognitive decline for the risky populations with baseline measures only. These findings provide valuable knowledge to the future neuropathological studies of AD in its prodromal phase. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.subject | ALZHEIMERS-DISEASE | - |
dc.subject | MEMORY DECLINE | - |
dc.subject | CLINICAL PROGRESSION | - |
dc.subject | EARLY-DIAGNOSIS | - |
dc.subject | RISK | - |
dc.subject | COMPLAINTS | - |
dc.subject | DEMENTIA | - |
dc.subject | ATROPHY | - |
dc.subject | INDIVIDUALS | - |
dc.subject | FRAMEWORK | - |
dc.title | Prediction of 7-year's conversion from subjective cognitive decline to mild cognitive impairment | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Shen, Dinggang | - |
dc.identifier.doi | 10.1002/hbm.25216 | - |
dc.identifier.scopusid | 2-s2.0-85092161965 | - |
dc.identifier.wosid | 000575964500001 | - |
dc.identifier.bibliographicCitation | HUMAN BRAIN MAPPING, v.42, no.1, pp.192 - 203 | - |
dc.relation.isPartOf | HUMAN BRAIN MAPPING | - |
dc.citation.title | HUMAN BRAIN MAPPING | - |
dc.citation.volume | 42 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 192 | - |
dc.citation.endPage | 203 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Neurosciences | - |
dc.relation.journalWebOfScienceCategory | Neuroimaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.subject.keywordPlus | ALZHEIMERS-DISEASE | - |
dc.subject.keywordPlus | MEMORY DECLINE | - |
dc.subject.keywordPlus | CLINICAL PROGRESSION | - |
dc.subject.keywordPlus | EARLY-DIAGNOSIS | - |
dc.subject.keywordPlus | RISK | - |
dc.subject.keywordPlus | COMPLAINTS | - |
dc.subject.keywordPlus | DEMENTIA | - |
dc.subject.keywordPlus | ATROPHY | - |
dc.subject.keywordPlus | INDIVIDUALS | - |
dc.subject.keywordPlus | FRAMEWORK | - |
dc.subject.keywordAuthor | machine learning | - |
dc.subject.keywordAuthor | MRI | - |
dc.subject.keywordAuthor | prediction | - |
dc.subject.keywordAuthor | subjective cognitive decline | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.