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However, the specific neural and clinical factors contributing to both their common and distinct profiles in older adults remain unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>\n                      We investigated resting\u2010state correlates of cognitive and depressive symptoms in older adults (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a0248 and\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a095) using clinical, blood, and neuroimaging data. We computed a connectivity matrix across default mode, executive control, and salience networks. Cross\u2010validated elastic net regression identified features reflecting cognitive function and depressive symptoms. These features were validated on a held\u2010out dataset.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>We discovered that white matter hyperintensities and nine overlapping nodes spanning all three networks are associated with both cognitive function and depressive symptoms, including left amygdala, left hippocampus, and bilateral ventral tegmental area.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>Our findings reveal intertwined neural nodes influencing cognitive impairment and depressive symptoms in late life, offering insights into shared characteristics and potential therapeutic targets.<\/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>Resting\u2010state neuroimaging markers are associated with symptoms of cognitive decline and late\u2010life depression.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Symptom\u2010associated connectivity alterations were present across three major brain networks of interest, including the salience, default mode, and executive control networks.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Some regions of interest are associated with both cognitive function and depressive symptoms, including the left amygdala, left hippocampus, and bilateral ventral tegmental area.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.14493","type":"journal-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T05:37:36Z","timestamp":1741757856000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Altered triple network model connectivity is associated with cognitive function and depressive symptoms in older adults"],"prefix":"10.1002","volume":"21","author":[{"given":"Antonija","family":"Kolobaric","sequence":"first","affiliation":[{"name":"Department of Psychiatry University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"},{"name":"Department of Obstetrics, Gynecology and Reproductive Sciences University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"},{"name":"Department of Computational and Systems Biology University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"},{"name":"Magee\u2010Womens Research Institute  Pittsburgh Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carmen","family":"Andreescu","sequence":"additional","affiliation":[{"name":"Department of Psychiatry University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew R.","family":"Gerlach","sequence":"additional","affiliation":[{"name":"Department of Psychiatry University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eldin","family":"Ja\u0161arevi\u0107","sequence":"additional","affiliation":[{"name":"Department of Obstetrics, Gynecology and Reproductive Sciences University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"},{"name":"Department of Computational and Systems Biology University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"},{"name":"Magee\u2010Womens Research Institute  Pittsburgh Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Howard","family":"Aizenstein","sequence":"additional","affiliation":[{"name":"Department of Psychiatry University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"},{"name":"Department of Bioengineering University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tharick A.","family":"Pascoal","sequence":"additional","affiliation":[{"name":"Department of Psychiatry University of Pittsburgh School of Medicine  Pittsburgh Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pamela C. 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