Abstract
The authors identified variables that predicted prevalent dementia of the Alzheimer type (DAT) when considered together with CSF biomarkers in a cross-sectional sample of 201 participants with normal cognition and 46 with DAT. Predictive accuracy of CSF biomarkers was improved by including age, education, and normalized whole brain volumes in analyses. See p. 501; Editorial, p. 496 The authors acquired fMRI scans during a face-name memory task from a cohort of 68 subjects. These data suggest that different functional brain connectivity endophenotypes for “early” vs “late” mild …
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