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We examined how novel cerebral hemodynamic markers relate to neuroimaging phenotypes associated with AD dementia in cognitively impaired and unimpaired older adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>\n                      Statistical hemodynamic indices were computed for each participant from stochastic dynamic models relating resting\u2010state spontaneous arterial blood pressure and end\u2010tidal CO\n                      <jats:sub>2<\/jats:sub>\n                      fluctuations to transcranial doppler\u2010derived blood velocity and near infrared spectroscopy\u2010derived cortical tissue oxygenation. Linear regressions related these hemodynamic indices to hippocampal volume, WMH volume, cortical thickness in an AD\u2010signature region, and brain amyloid burden measured by PET.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Higher hemodynamic indices, indicating proximity to normal cerebrovascular function correlated with neuroimaging phenotypes typically associated with better cognitive status: greater hippocampal volume and lower amyloid burden.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>Our findings provide further support for the role of cerebrovascular dysfunction in AD pathogenesis and for the potential clinical utility of model\u2010based indices of cerebral hemodynamics.<\/jats:p>\n                  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