Characterizing Longitudinal Patterns in Cognition, Mood, And Activity in Depression With 6-Week High-Frequency Wearable Assessment: Observational Study.

Francesca K Cormack Maggie McCue Caroline Skirrow Nathan Cashdollar Nick Taptiklis Tempest A van Schaik Ben Fehnert James King Lambros Chrones Sara Sarkey Jasmin Kroll Jennifer H Barnett

Published in: JMIR mental health (2024)

The current results support the feasibility and sensitivity of high-frequency cognitive assessments for disease and treatment monitoring in patients with depression. Methods to model the individual plateau in task learning can be used as a sensitive approach to better characterize changes in behavior and improve the clinical relevance of cognitive data. Wearable technology allows assessment of activity levels, which may influence both cognition and mood.

Keyphrases

high frequency
transcranial magnetic stimulation
sleep quality
bipolar disorder
depressive symptoms
mild cognitive impairment
heart rate
white matter
electronic health record
big data
randomized controlled trial
machine learning
combination therapy
deep learning
smoking cessation
replacement therapy
data analysis