{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T15:30:20Z","timestamp":1792510220525,"version":"4.5.0"},"reference-count":127,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T00:00:00Z","timestamp":1777334400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R00 NS123229"],"award-info":[{"award-number":["R00 NS123229"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurosci."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>We aimed to understand the pathophysiological differences between 16 Alzheimer\u2019s disease (AD) and 15 non-AD dementia patients by quantifying oxygen extraction fraction (OEF) in cortical (CGM) and deep gray matter (DGM) regions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>To achieve this, we used a novel MRI-based OEF mapping technique, QQ, which estimates OEF from routine multi-echo gradient echo data. Multiple linear regression analyses were performed to compare the associations between OEF and white matter hyperintensities (WMH) or cognitive impairment (measured by Montreal Cognitive Assessment (MoCA) between the two groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In the AD and non-AD group, OEF showed negative associations with WMH in DGM and positive associations with MoCA in DGM and CGM.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>Our study suggests that QQ is a promising tool for differentiating between AD and non-AD dementias, by revealing abnormalities in tissue oxygen usage and their relationships to microvascular changes and cognitive impairment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnins.2026.1754415","type":"journal-article","created":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T05:38:38Z","timestamp":1777354718000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Oxygen extraction fraction is differentially associated with pathological biomarkers in Alzheimer\u2019s disease and non-Alzheimer\u2019s dementias"],"prefix":"10.3389","volume":"20","author":[{"given":"Arpita","family":"Misra","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, George Washington University","place":["Washington, DC, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Weill Cornell Medicine","place":["New York, NY, United States"]},{"name":"Department of Biomedical Engineering, Cornell University","place":["Ithaca, NY, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. 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