{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T07:51:12Z","timestamp":1791532272952,"version":"4.3.4"},"reference-count":93,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:00:00Z","timestamp":1791504000000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100004917","name":"Cancer Prevention and Research Institute of Texas","doi-asserted-by":"publisher","award":["RP210099"],"award-info":[{"award-number":["RP210099"]}],"id":[{"id":"10.13039\/100004917","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007114","name":"Ralph W. and Grace M. 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Spatial correlations were assessed across the whole brain and in disease\u2013control and plaque\u2013non\u2010plaque comparisons. Neural network models were trained to predict AD\u2010associated cell types from dMRI metrics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      dMRI metrics showed moderate spatial correlations (\n                      <jats:italic>r<\/jats:italic>\n                      \u00a0=\u00a0\u22120.41 to 0.36) with oligodendrocyte\u2010 and neuron\u2010related gene expression. Disease\u2013control comparisons revealed region\u2010specific MRI\u2010derived microstructural alterations aligned with transcriptional changes in microglia, astrocytes, oligodendrocytes, and neurons. Plaque\u2010rich regions exhibited distinct diffusion and susceptibility signatures associated with oligodendrocyte and microglial expression. Neural networks predicted spatial distributions of AD\u2010associated cell types with 80%\u201386% accuracy.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>dMRI captures plaque\u2010associated cellular pathology and supports biologically informed interpretation of imaging contrasts in AD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.71908","type":"journal-article","created":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T07:38:14Z","timestamp":1791531494000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Diffusion MRI reveals amyloid plaque\u2013associated cellular signatures through spatial transcriptomic integration"],"prefix":"10.1002","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8082-0863","authenticated-orcid":false,"given":"Xinyue","family":"Han","sequence":"first","affiliation":[{"name":"Advanced Imaging Research Center UT Southwestern Medical Center  Dallas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Hu","sequence":"additional","affiliation":[{"name":"Advanced Imaging Research Center UT Southwestern Medical Center  Dallas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingjie","family":"Ping","sequence":"additional","affiliation":[{"name":"Department of Anatomy Cell Biology &amp; Physiology Indiana University  Indianapolis USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"Advanced Imaging Research Center UT Southwestern Medical Center  Dallas 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