{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T14:28:00Z","timestamp":1785421680578,"version":"3.56.0"},"posted":{"date-parts":[[2026,5,26]]},"group-title":"Neuroscience","reference-count":45,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T00:00:00Z","timestamp":1779753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.biorxiv.org\/about\/FAQ#license"}],"funder":[{"award":["R01AG054159"],"award-info":[{"award-number":["R01AG054159"]}],"id":[{"id":"https:\/\/ror.org\/049v75w11","id-type":"ROR","asserted-by":"publisher"}]},{"award":["K23AG090691"],"award-info":[{"award-number":["K23AG090691"]}],"id":[{"id":"https:\/\/ror.org\/049v75w11","id-type":"ROR","asserted-by":"publisher"}]},{"name":"Litwin Foundation"},{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"crossref","award":["UL1 TR001450"],"award-info":[{"award-number":["UL1 TR001450"]}],"id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,5,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>In preclinical Alzheimer\u2019s disease (pAD), regional patterns of amyloid-\u03b2 (A\u03b2) deposition are well characterized but it is unclear how this process varies across functional networks.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>Determine how A\u03b2 accumulation in functional networks (\u201cnetwork-amyloid burden\u201d [NAB]) varies by age, network type (cognitive vs. non-cognitive), and A\u03b2 status (A\u03b2+\/A\u03b2-), and relates to cognition.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>157 cognitively unimpaired adults (45\u201384 years; n=28 A\u03b2+ per neuroradiological read) underwent brain MRI, amyloid PET (18F-florbetapir), and neuropsychological testing. NAB was calculated as the mean standard uptake value ratio within 7 networks categorized as cognitive (fronto-parietal, default mode, ventral and dorsal attention, limbic) or non-cognitive (somato-motor, visual). Linear mixed models tested how NAB varies across age, networks (by type and each separately), A\u03b2 status, and their interactions, and relationships between NAB and cognition.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>NAB increased with age, most prominently in fronto-parietal and default mode networks. NAB was higher in cognitive than non-cognitive networks, and this difference was more pronounced in A\u03b2+ individuals. NAB was not significantly associated with cognition.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Cognitive brain networks are more vulnerable to amyloid accumulation with aging and in pAD than non-cognitive networks. Cognitive NAB may be useful for early detection and as a target for intervention in pAD.<\/jats:p>\n                <\/jats:sec>","DOI":"10.64898\/2026.05.21.726909","type":"posted-content","created":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T17:15:13Z","timestamp":1779815713000},"source":"Crossref","is-referenced-by-count":0,"title":["Greater Amyloid Burden in Cognitive Networks in Preclinical Alzheimer\u2019s Disease"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7107-1891","authenticated-orcid":false,"given":"Sara A.","family":"Nolin","sequence":"first","affiliation":[{"name":"Department of Neurology, Medical University of South Carolina, Charleston, South Carolina, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9365-4884","authenticated-orcid":false,"given":"Stephanie","family":"Aghamoosa","sequence":"additional","affiliation":[{"name":"Department of Health Sciences & Research, Medical 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