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Thirty-Third Annual Meeting of the Society for Research in Psychopathology

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44. Iterative Development of Novel Cognitive Measures for Mobile Monitoring of Cognitive Change

Cognition changes over time as part of healthy aging and in neuropsychiatric disorders, but few methods exist for monitoring these changes on short timescales. Here, we present validation data for a method to iteratively develop measures of memory, processing speed, and executive functioning as part the NIA U2C Mobile Monitoring of Cognitive Change project. The goal is to take existing test prototypes and identify parameters that maximize reliability and efficiency of these measures for detecting change over time. Specific examples will be described, including: (1) selection of parameters for improving test reliability and efficiency (e.g. reducing length of a Flanker interference test by 25% with no reduction in reliability), (2) increasing test ecological validity, e.g. development of One Time Passcode measure of processing speed, and (3) identification of potential measurement confounds (e.g. touch vs. mouse; Cohen’s d = 0.8, p < 0.001). The general method will be described along with specific applications. Iterative test development provides a novel and efficient method for optimizing cognitive measures, toward building a foundation for cognitive monitoring, nationally.

Yi Yi Lu
McLean Hospital

Nelson Roque
Pennsylvania State University

Eliza Passell
McLean Hospital

Luke Scheuer
McLean Hospital

Liz Grinspoon
McLean Hospital

Martin J. Sliwinski
Pennsylvania State University

Laura Germine
McLean Hospital

 


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