This poster was presented at the Annual Meeting of the American Society for Experimental NeuroTherapeutics (ASENT)
15-17 March 2017
Washington DC/Rockville MD
Reliable measurement of functional capacity is critical in assessing the efficacy of treatments for cognitive impairment in a wide range of CNS disorders including
schizophrenia, mood disorders, mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Despite FDA requirements for functional co-primary endpoints in clinical trials of cognitive enhancing therapies, development and standardization of these functional measures has lagged behind the equally critical cognitive endpoints. In order to optimize signal detection, measures of functional capacity must offer psychometric properties on par with cognitive endpoints. The present research assesses the relative sensitivity and psychometric reliability of two measures of functional capacity, the UCSD Performance based Skills Assessment (UPSA-2-VIM) and the Virtual Reality Functional Capacity Assessment Tool (VRFCAT).
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