{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T15:19:23Z","timestamp":1787498363646,"version":"build-2736575974"},"reference-count":58,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T00:00:00Z","timestamp":1734912000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","award":["UL1TR002733"],"award-info":[{"award-number":["UL1TR002733"]}],"id":[{"id":"10.13039\/100006108","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":[[2025,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>INTRODUCTION<\/jats:title>\n                    <jats:p>Alzheimer's disease (AD) is characterized by the presence of two proteinopathies, amyloid and tau, which have a cascading effect on the functional and structural organization of the brain.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>\n                      In this study, we used a supervised machine learning technique to build a model of functional connections that predicts cerebrospinal fluid (CSF) p\u2010tau\/A\u03b2\n                      <jats:sub>42<\/jats:sub>\n                      (the PATH\u2010fc model). Resting\u2010state functional magnetic resonance imaging (fMRI) data from 289 older adults in the Alzheimer's Disease Neuroimaging Initiative (ADNI) were utilized for this model.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      We successfully derived the PATH\u2010fc model to predict the ratio of p\u2010tau\/A\u03b2\n                      <jats:sub>42<\/jats:sub>\n                      as well as cognitive functioning in older adults across the spectrum of healthy and pathological aging. However, the in\u2010sample fit magnitude was low, indicating a need for further model development.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>Our pathology\u2010based model of functional connectivity included representation from multiple canonical networks of the brain with intra\u2010network connectivity associated with low pathology and inter\u2010network connectivity associated with higher levels of pathology.<\/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>Whole\u2010brain functional connectivity model (PATH\u2010fc) is linked to AD pathophysiology.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>The PATH\u2010fc model predicts performance in multiple domains of cognitive functioning.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>The PATH\u2010fc model is a distributed model including representation from all canonical networks.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.14349","type":"journal-article","created":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T05:19:00Z","timestamp":1734931140000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A whole\u2010brain functional connectivity model of Alzheimer's disease pathology"],"prefix":"10.1002","volume":"21","author":[{"given":"Ruchika S.","family":"Prakash","sequence":"first","affiliation":[{"name":"Department of Psychology The Ohio State University  Columbus Ohio USA"},{"name":"Center for Cognitive and Behavioral Brain Imaging The Ohio State University  Columbus Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael R.","family":"McKenna","sequence":"additional","affiliation":[{"name":"Department of Psychology The Ohio State University  Columbus Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oyetunde","family":"Gbadeyan","sequence":"additional","affiliation":[{"name":"Department of Psychology The Ohio State University  Columbus Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anita R.","family":"Shankar","sequence":"additional","affiliation":[{"name":"Department of Psychology The Ohio State University  Columbus Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erika 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