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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.