{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T10:59:40Z","timestamp":1785581980993,"version":"3.56.0"},"reference-count":41,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T00:00:00Z","timestamp":1776729600000},"content-version":"vor","delay-in-days":20,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["alz-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Alz &amp;amp; Dem Diag Ass &amp;amp; Dis Mo"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>This study examined the link between default mode network (DMN) functional connectivity, cerebral small vessel disease (CSVD), brain atrophy, and plasma Alzheimer's disease (AD) biomarkers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We analyzed the Alzheimer's Disease Neuroimaging Initiative database (\n                      <jats:italic>N<\/jats:italic>\n                      \u00a0=\u00a0279), examining the relationships between DMN functional integrity (network failure quotient [NFQ]), gray and white matter fractions (GMF, WMF), white matter hyperintensities (WMHs), plasma phosphorylated tau (p\u2010tau)217 and amyloid beta (A\u03b2)42\/A\u03b240 ratio, and clinical assessments. Statistical associations were tested using one\u2010way analysis of variance and univariate and multivariate regression models.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The AD group showed increased NFQ values (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&lt;\u00a00.001). Significant univariate associations were found between NFQ and WMH, gray and white matter atrophy, A\u03b2 ratio, and p\u2010tau217 (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&lt;\u00a00.05). Atrophy markers (GMF, WMF) and AD diagnosis were the only independent predictors of NFQ in multivariate models (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&lt;\u00a00.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Our study identifies markers of brain atrophy as independent predictors of DMN failure, unlike AD plasma biomarkers and magnetic resonance imaging markers of CSVD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/dad2.70343","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T04:31:31Z","timestamp":1776832291000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Brain atrophy and clinical diagnosis independently predict default mode network failure across the Alzheimer's disease continuum"],"prefix":"10.1002","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6963-6707","authenticated-orcid":false,"given":"Mohammed","family":"Alghamdi","sequence":"first","affiliation":[{"name":"School of Clinical Medicine Faculty of Medicine and Health University of New South Wales  Sydney New South Wales Australia"},{"name":"Department of Radiology and Medical Imaging Faculty of Applied Medical Sciences Prince Sattam bin Abdulaziz University  Alkharj Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6779-9959","authenticated-orcid":false,"given":"Frederic","family":"von Wegner","sequence":"additional","affiliation":[{"name":"School of Biomedical Sciences Faculty of Medicine and Health University of New South Wales  Sydney New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0481-3933","authenticated-orcid":false,"given":"Daniel Kam Yin","family":"Chan","sequence":"additional","affiliation":[{"name":"School of Clinical Medicine Faculty of Medicine and Health University of New South Wales  Sydney New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5544-4616","authenticated-orcid":false,"given":"Michael","family":"Green","sequence":"additional","affiliation":[{"name":"School of Clinical Medicine Faculty of Medicine and Health University of New South Wales  Sydney New South Wales Australia"},{"name":"Neuroscience Research Australia (NeuRA)  Sydney New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"For the Alzheimer's Disease Neuroimaging 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