{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T06:52:44Z","timestamp":1791355964120,"version":"4.3.1"},"reference-count":41,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"19","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2026,10,6]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">Tensor\u2010valued diffusion magnetic resonance imaging enables the separation of total kurtosis into isotropic and anisotropic components, offering improved specificity over conventional diffusion kurtosis imaging. In this study, we introduce a novel framework for detecting anisotropic\u2010isotropic kurtosis mismatch and evaluate its relevance in experimental ischemic stroke.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p xml:lang=\"en\">Tensor\u2010valued diffusion magnetic resonance imaging was performed in a rat model of middle cerebral artery occlusion. Metrics, including anisotropic mean kurtosis and isotropic mean kurtosis, were quantified to assess microstructural tissue heterogeneity. Histologic validation was conducted using coregistered tissue sections.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">We observed significant mismatches between mean diffusivity, mean kurtosis, as well as specifically in anisotropic mean kurtosis and isotropic mean kurtosis in ischemic regions. Notably, anisotropic mean kurtosis and isotropic mean kurtosis exhibited statistically significant alterations compared with contralateral regions. Moreover, these metrics strongly correlated with pathologic findings. The observed mismatch highlighted microstructurally distinct subregions within the lesion.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">This study establishes an in\u00a0vivo framework for characterizing anisotropic\u2010isotropic kurtosis mismatch in an experimental stroke model. By quantifying the isotropic mean kurtosis\/anisotropic mean kurtosis mismatch, tensor\u2010valued diffusion magnetic resonance imaging provides a more specific mechanistic characterization of diffusion heterogeneity than conventional diffusion tensor imaging and diffusion kurtosis imaging metrics, supporting its use as a preclinical tool for investigating microstructural alterations in ischemic brain tissue.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.125.046071","type":"journal-article","created":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T04:24:06Z","timestamp":1788150246000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["In Vivo Tensor\u2010Valued Diffusion Magnetic Resonance Imaging Reveals Isotropic\u2010Anisotropic Kurtosis Mismatch in a Rat Middle Cerebral Artery Occlusion Stroke 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