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Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study

Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study

As described by Hackett and Giovannetti [7] and Leaning et al [66], some of the many interpretive and logistical challenges of digital phenotyping can be mitigated with conceptual models and clinically informed features to provide context to results and improve reproducibility. In this paper, we present findings from a proof-of-concept study evaluating a smartphone digital phenotyping protocol to assess cognition, everyday function, and mood in a cohort of older adults with and without cognitive decline.

Katherine Hackett, Shiyun Xu, Moira McKniff, Lido Paglia, Ian Barnett, Tania Giovannetti

JMIR Hum Factors 2024;11:e59974

Capturing Cognitive Aging in Vivo: Application of a Neuropsychological Framework for Emerging Digital Tools

Capturing Cognitive Aging in Vivo: Application of a Neuropsychological Framework for Emerging Digital Tools

From a neuropsychological perspective, increased inefficiency and variability in the early stage of decline may stem from faulty executive control mechanisms governed by the prefrontal cortex and associated white matter projections, which, according to a framework proposed by Giovannetti and colleagues [109], are essential to modulate goal activations, enable smooth transitions between goals, and inhibit inappropriate activations from internal or external distractors during everyday tasks.

Katherine Hackett, Tania Giovannetti

JMIR Aging 2022;5(3):e38130