{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T23:03:27Z","timestamp":1790636607085,"version":"4.1.0"},"reference-count":57,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2020,6,24]],"date-time":"2020-06-24T00:00:00Z","timestamp":1592956800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2020,8,4]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Reliable cerebral blood flow (CBF) biomarkers using a noninvasive imaging technique are sought to facilitate early diagnosis and intervention in early Alzheimer\u2019s disease (AD).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>We aim to identify brain regions in which CBF values are affected and related to cognitive decline in early AD using a large cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>Perfusion MRIs using continuous arterial spin labeling were acquired at 1.5 T in 58 normal controls (NC), 50 mild cognitive impairments (MCI), and 40 AD subjects from the Cardiovascular Health Study Cognition Study. Regional absolute CBF and normalized CBF (nCBF) values, without and with correction of partial volume effects, were compared across three groups. Association between regional CBF values and Modified Mini-Mental State Examination (3MSE) were investigated by multiple linear regression analyses adjusted for cardiovascular risk factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>After correcting for partial volume effects and cardiovascular risk factors, ADs exhibited decreased nCBF with the strongest reduction in the bilateral posterior cingulate &amp; precuneus region ( p\u200a&lt;\u200a0.001) compared to NCs, and the strongest reduction in the bilateral superior medial frontal region ( p\u200a&lt;\u200a0.001) compared to MCIs. MCIs exhibited the strongest nCBF decrease in the left hippocampus and nCBF increase in the right inferior frontal and insular region. The 3MSE scores within the symptomatic subjects were significantly associated with nCBF in the bilateral posterior and middle cingulate and parietal ( p\u200a&lt;\u200a0.001), bilateral superior medial frontal ( p\u200a&lt;\u200a0.001), bilateral temporoparietal ( p\u200a&lt;\u200a0.02), and right hippocampus ( p\u200a=\u200a0.02) regions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Noninvasive perfusion MRI can detect functional changes across diagnostic class and serve as a staging biomarker of cognitive status.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3233\/jad-200034","type":"journal-article","created":{"date-parts":[[2020,6,26]],"date-time":"2020-06-26T19:04:05Z","timestamp":1593198245000},"page":"1103-1120","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":49,"title":["Cerebral Blood Flow Is Associated with Diagnostic Class and Cognitive Decline in Alzheimer\u2019s Disease"],"prefix":"10.1177","volume":"76","author":[{"given":"Wenna","family":"Duan","sequence":"first","affiliation":[{"name":"Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Parshant","family":"Sehrawat","sequence":"additional","affiliation":[{"name":"Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arvind","family":"Balachandrasekaran","sequence":"additional","affiliation":[{"name":"Harvard Medical School\/Boston Children\u2019s Hospital, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashish B.","family":"Bhumkar","sequence":"additional","affiliation":[{"name":"Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paresh B.","family":"Boraste","sequence":"additional","affiliation":[{"name":"Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James T.","family":"Becker","sequence":"additional","affiliation":[{"name":"Departments of Psychiatry, Psychology, and Neurology, University of Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lewis H.","family":"Kuller","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oscar L.","family":"Lopez","sequence":"additional","affiliation":[{"name":"Departments of Neurology and Psychiatry, University of Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H. 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