{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T12:47:37Z","timestamp":1792586857715,"version":"4.5.0"},"reference-count":69,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2025,3,20]],"date-time":"2025-03-20T00:00:00Z","timestamp":1742428800000},"content-version":"vor","delay-in-days":19,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"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","award":["R01AG054671"],"award-info":[{"award-number":["R01AG054671"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["RF1AG077627"],"award-info":[{"award-number":["RF1AG077627"]}],"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":["Alzheimer's &amp;amp; Dementia"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>INTRODUCTION<\/jats:title>\n                    <jats:p>\n                      Autosomal dominant Alzheimer's disease (ADAD) through genetic mutations can result in near complete expression of the disease. Tracking AD pathology development in an ADAD cohort of Presenilin\u20101 (\n                      <jats:italic>PSEN1)<\/jats:italic>\n                      E280A carriers\u2019 mutation has allowed us to observe incipient tau tangles accumulation as early as 6 years prior to symptom onset.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>\n                      Resting\u2010state functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) scans were acquired in a group of\n                      <jats:italic>PSEN1<\/jats:italic>\n                      carriers (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a032) and non\u2010carrier family members (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a035). We applied connectome\u2010based predictive modeling (CPM) to examine the relationship between the participant's functional connectome and their respective tau\/amyloid\u2010\u03b2 levels and cognitive scores (word list recall).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>CPM models strongly predicted tau concentrations and cognitive scores within the carrier group. The connectivity patterns between the temporal cortex, default mode network, and other memory networks were the most informative of tau burden.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>These results indicate that resting\u2010state functional magnetic resonance imaging (fMRI) methods can complement PET methods in early detection and monitoring of disease progression in ADAD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Highlights<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>Connectivity\u2010based predictive modeling of tau and amyloid\u2010\u03b2 in ADAD carriers.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Strong predictions for tau deposition; weaker predictions for amyloid\u2010\u03b2.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Cognitive scores for memory and mental state are predicted strongly.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Connectivity between IPL, DAN, DMN, temporal cortex most predictive.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.70061","type":"journal-article","created":{"date-parts":[[2025,3,20]],"date-time":"2025-03-20T07:45:43Z","timestamp":1742456743000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Connectome\u2010based predictive modeling of brain pathology and cognition in autosomal dominant Alzheimer's disease"],"prefix":"10.1002","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7520-4188","authenticated-orcid":false,"given":"Vaibhav","family":"Tripathi","sequence":"first","affiliation":[{"name":"Department of Psychological and Brain Sciences Boston University  Boston Massachusetts USA"},{"name":"Department of Psychology &amp; Center for Brain Science Harvard University  Cambridge Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua","family":"Fox\u2010Fuller","sequence":"additional","affiliation":[{"name":"Department of Psychological and Brain Sciences Boston University  Boston Massachusetts USA"},{"name":"Massachusetts General Hospital Harvard Medical School  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vincent","family":"Malotaux","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital Harvard Medical School  Boston 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