{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T23:01:06Z","timestamp":1777762866724,"version":"3.51.4"},"reference-count":19,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAD"],"published-print":{"date-parts":[[2022,7,19]]},"abstract":"<jats:p>Background: Structural magnetic resonance imaging markers predicting symptomatic progression at the individual level can be highly beneficial for early intervention and treatment planning for Alzheimer\u2019s disease (AD). However, the correlation between baseline MRI findings and AD progression has not been fully established. Objective: To explore the correlation between baseline MRI findings and AD progression. Methods: Brain volumetric measures were applied to differentiate the patients at risk of fast deterioration in AD. We included 194 AD patients with a 24-month follow-up: 65 slow decliners, 63 normal decliners, and 66 fast decliners categorized by changes in Alzheimer\u2019s Disease Assessment Scale-Cognitive Subscale (ADAS-Cog). ANOVA analyses were used to identify baseline brain atrophy between groups. Logistic regressions were further performed to explore the relative merits of AD resemblance structural atrophy index (AD-RAI) and individual regional volumetric measures in prediction of disease progression. Results: Atrophy in the temporal and insular lobes was associated with fast cognitive decline over 24 months. Smaller volumes of temporal and insular lobes in the left but not the right brain were associated with fast cognitive decline. Baseline AD-RAI predicted fast versus slow progression of cognitive decline (odds ratio 3.025 (95% CI: 1.064\u20138.600), high versus low, AUC 0.771). Moreover, AD-RAI was significantly lower among slow decliners when compared with normal decliners (p\u200a=\u200a0.039). Conclusion: AD-RAI on MRI showed potential in identifying clinical AD patients at risk of accelerated cognitive decline.<\/jats:p>","DOI":"10.3233\/jad-215189","type":"journal-article","created":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T13:13:17Z","timestamp":1655212397000},"page":"763-769","source":"Crossref","is-referenced-by-count":5,"title":["Brain MRI Biomarkers to Predict Cognitive Decline in Older People with Alzheimer\u2019s Disease"],"prefix":"10.1177","volume":"88","author":[{"given":"Liu-Ying","family":"Zhu","sequence":"first","affiliation":[{"name":"Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong"},{"name":"The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China"},{"name":"Zhongshan City People\u2019s Hospital, Zhongshan, Guangdong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Shi","sequence":"additional","affiliation":[{"name":"BrainNow Research Institute, Shenzhen, Guangdong Province, China"},{"name":"Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yishan","family":"Luo","sequence":"additional","affiliation":[{"name":"BrainNow Research Institute, Shenzhen, Guangdong Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jason","family":"Leung","sequence":"additional","affiliation":[{"name":"Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, Shatin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timothy","family":"Kwok","sequence":"additional","affiliation":[{"name":"Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JAD-215189_ref1","doi-asserted-by":"crossref","first-page":"4703","DOI":"10.1073\/pnas.052587399","article-title":"Mapping the evolution of regional atrophy in Alzheimer\u2019s disease: Unbiased analysis of fluid-registered serial MRI","volume":"99","author":"Scahill","year":"2002","journal-title":"Proc Natl Acad Sci U S A"},{"key":"10.3233\/JAD-215189_ref2","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.arr.2016.01.003","article-title":"MRI morphometry in Alzheimer\u2019s disease","volume":"30","author":"Matsuda","year":"2016","journal-title":"Ageing Res Rev"},{"key":"10.3233\/JAD-215189_ref3","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.neurobiolaging.2016.09.011","article-title":"Medial temporal lobe subregional morphometry using high resolution MRI in Alzheimer\u2019s disease","volume":"49","author":"Wolk","year":"2017","journal-title":"Neurobiol Aging"},{"key":"10.3233\/JAD-215189_ref4","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1002\/ana.92","article-title":"Patterns of temporal lobe atrophy in semantic dementia and Alzheimer\u2019s disease","volume":"49","author":"Chan","year":"2001","journal-title":"Ann Neurol"},{"key":"10.3233\/JAD-215189_ref5","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1007\/s00415-008-0750-9","article-title":"Volumetric MRI and cognitive measures in Alzheimer disease: Comparison of markers of progression","volume":"255","author":"Ridha","year":"2008","journal-title":"J Neurol"},{"key":"10.3233\/JAD-215189_ref6","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1016\/j.neurobiolaging.2009.04.011","article-title":"Brain atrophy associated with baseline and longitudinal measures of cognition","volume":"32","author":"Cardenas","year":"2011","journal-title":"Neurobiol Aging"},{"key":"10.3233\/JAD-215189_ref7","doi-asserted-by":"crossref","first-page":"a006213","DOI":"10.1101\/cshperspect.a006213","article-title":"Brain imaging in Alzheimer disease","volume":"2","author":"Johnson","year":"2012","journal-title":"Cold Spring Harb Perspect Med"},{"key":"10.3233\/JAD-215189_ref8","doi-asserted-by":"crossref","first-page":"6217","DOI":"10.18632\/aging.102184","article-title":"Risk estimation before progression to mild cognitive impairment and Alzheimer\u2019s disease: An AD resemblance atrophy index","volume":"11","author":"Zhao","year":"2019","journal-title":"Aging (Albany NY)"},{"key":"10.3233\/JAD-215189_ref9","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1007\/s11065-017-9361-5","article-title":"Neuropsychological measures that predict progression from mild cognitive impairment to Alzheimer\u2019s type dementia in older adults: A systematic review and meta-analysis","volume":"27","author":"Belleville","year":"2017","journal-title":"Neuropsychol Rev"},{"key":"10.3233\/JAD-215189_ref10","first-page":"184","article-title":"Analysis of the relationship of cognitive impairment and functional impairment in mild Alzheimer\u2019s disease in EXPEDITION 3","volume":"5","author":"Liu-Seifert","year":"2018","journal-title":"J Prev Alzheimers Dis"},{"key":"10.3233\/JAD-215189_ref11","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1111\/j.1468-1331.2007.01693.x","article-title":"Cognitive and behavioural predictors of progression rates in Alzheimer\u2019s disease","volume":"14","author":"Buccione","year":"2007","journal-title":"Eur J Neurol"},{"key":"10.3233\/JAD-215189_ref12","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1098\/rsif.2011.0134","article-title":"Alzheimer\u2019s disease: Rapid and slow progression","volume":"9","author":"Thalhauser","year":"2012","journal-title":"J R Soc Interface"},{"key":"10.3233\/JAD-215189_ref13","doi-asserted-by":"crossref","first-page":"174524","DOI":"10.5402\/2013\/174524","article-title":"Comparison of hippocampal volume in dementia subtypes","volume":"2013","author":"Vijayakumar","year":"2013","journal-title":"ISRN Radiol"},{"key":"10.3233\/JAD-215189_ref14","doi-asserted-by":"crossref","first-page":"994","DOI":"10.1523\/JNEUROSCI.23-03-00994.2003","article-title":"Dynamics of gray matter loss in Alzheimer\u2019s disease","volume":"23","author":"Thompson","year":"2003","journal-title":"J Neurosci"},{"key":"10.3233\/JAD-215189_ref15","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1186\/s40064-016-1759-7","article-title":"Cognitive impairment and pragmatics","volume":"5","author":"Gutierrez-Rexach","year":"2016","journal-title":"Springerplus"},{"key":"10.3233\/JAD-215189_ref17","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/s13311-016-0481-z","article-title":"Biomarkers for the early detection and progression of Alzheimer\u2019s disease","volume":"14","author":"Counts","year":"2017","journal-title":"Neurotherapeutics"},{"key":"10.3233\/JAD-215189_ref18","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1093\/brain\/awz099","article-title":"Limbic-predominant age-related TDP-43 encephalopathy (LATE): Consensus working group report","volume":"142","author":"Nelson","year":"2019","journal-title":"Brain"},{"key":"10.3233\/JAD-215189_ref19","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.neurobiolaging.2018.10.013","article-title":"In vivo hippocampal subfield shape related to TDP-43, amyloid beta, and tau pathologies","volume":"74","author":"Hanko","year":"2019","journal-title":"Neurobiol Aging"},{"key":"10.3233\/JAD-215189_ref20","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.neurobiolaging.2019.01.022","article-title":"Associations of amygdala volume and shape with transactive response DNA-binding protein 43 (TDP-43) pathology in a community cohort of older adults","volume":"77","author":"Makkinejad","year":"2019","journal-title":"Neurobiol Aging"}],"container-title":["Journal of Alzheimer's Disease"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JAD-215189","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T10:06:12Z","timestamp":1777370772000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JAD-215189"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,19]]},"references-count":19,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.3233\/jad-215189","relation":{},"ISSN":["1387-2877","1875-8908"],"issn-type":[{"value":"1387-2877","type":"print"},{"value":"1875-8908","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,19]]}}}