{"doi":"10.1002/alz.13567","title":"Cognitively defined Alzheimer's dementia subgroups have distinct atrophy patterns","abstract":"Abstract INTRODUCTION We sought to determine structural magnetic resonance imaging (MRI) characteristics across subgroups defined based on relative cognitive domain impairments using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and to compare cognitively defined to imaging‐defined subgroups. METHODS We used data from 584 people with Alzheimer's disease (AD) (461 amyloid positive, 123 unknown amyloid status) and 118 amyloid‐negative controls. We used voxel‐based morphometry to compare gray matter volume (GMV) for each group compared to controls and to AD‐Memory. RESULTS There was pronounced bilateral lower medial temporal lobe atrophy with relative cortical sparing for AD‐Memory, lower left hemisphere GMV for AD‐Language, anterior lower GMV for AD‐Executive, and posterior lower GMV for AD‐Visuospatial. Formal asymmetry comparisons showed substantially more asymmetry in the AD‐Language group than any other group ( p = 1.15 × 10 −10 ). For overlap between imaging‐defined and cognitively defined subgroups, AD‐Memory matched up with an imaging‐defined limbic predominant group. DISCUSSION MRI findings differ across cognitively defined AD subgroups.","journal":"Alzheimer s & Dementia","year":2023,"id":329583,"datarank":0.6682022922762771,"base_score":2.995732273553991,"endowment":2.995732273553991,"self_citation_contribution":0.4493598410330987,"citation_network_contribution":0.21884245124317847,"self_endowment_contribution":0.4493598410330987,"citer_contribution":0.21884245124317847,"corpus_percentile":70.12454552487043,"corpus_rank":3863,"citation_count":19,"citer_count":16,"citers_with_citation_signal":8,"citers_with_endowment":8,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5396,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":4.1667,"fair_percentile":4.891470498318557,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":332619,"name":"Colin Groot","orcid":"0000-0002-5802-6946","position":1,"is_corresponding":false},{"id":230944,"name":"Rik Ossenkoppele","orcid":"0000-0003-1584-7477","position":2,"is_corresponding":false},{"id":261837,"name":"Shubhabrata Mukherjee","orcid":"0000-0003-2522-2884","position":3,"is_corresponding":false},{"id":282468,"name":"Seo‐Eun Choi","orcid":"0000-0002-2163-688X","position":4,"is_corresponding":false},{"id":342960,"name":"Michael K. Lee","orcid":"0000-0001-5865-9682","position":5,"is_corresponding":false},{"id":849633,"name":"Phoebe Scollard","orcid":"0000-0002-4094-938X","position":6,"is_corresponding":false},{"id":471047,"name":"Laura E. Gibbons","orcid":"0000-0001-5054-2543","position":7,"is_corresponding":false},{"id":261849,"name":"R. Elizabeth Sanders","orcid":"0000-0001-9764-3122","position":8,"is_corresponding":false},{"id":261842,"name":"Emily H. Trittschuh","orcid":"0000-0003-0557-1542","position":9,"is_corresponding":false},{"id":27595,"name":"Andrew J. Saykin","orcid":"0000-0002-1376-8532","position":10,"is_corresponding":false},{"id":261843,"name":"Jesse Mez","orcid":"0000-0003-1438-5442","position":11,"is_corresponding":false},{"id":1046045,"name":"Connie Nakano","orcid":null,"position":12,"is_corresponding":false},{"id":855591,"name":"Christine Mac Donald","orcid":null,"position":13,"is_corresponding":false},{"id":1053312,"name":"Harkirat Sohi","orcid":null,"position":14,"is_corresponding":false},{"id":300139,"name":"for the Alzheimer's Disease Neuroimaging Initiative","orcid":null,"position":15,"is_corresponding":false},{"id":1053313,"name":"Shannon Risacher","orcid":null,"position":16,"is_corresponding":false},{"id":91756,"name":"Paul K. Crane","orcid":"0000-0003-4278-7465","position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":null,"created_at":"2026-07-19T01:09:05.843139Z","pmid":"38093529","pmcid":"PMC10984445","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":0.0,"fair_a":0.0,"fair_i":0.0,"fair_r":25.0,"fair_zscore":-1.1986,"fair_rationale":{"fair_score":4.17,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":0.0,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"The paper does not provide a persistent identifier (DOI, Handle, ARK, or repository accession) for the study's own dataset (subgroup lists or code).","anchors":["RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit","RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier'","FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"The study's own dataset is not deposited in a named repository; it is available on request from the authors.","anchors":["RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed (","NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived","NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"Data analyzed in this paper are available from the ADNI website (www.adni.loni.usc.edu). 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