Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study — Gerard Anmella (2023) | RDL Network
Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study
Article 2023 en
Authors
GA
Gerard Anmella
FC
Filippo Corponi
BL
Bryan M. Li
Abstract
1 min read
Physiological data from wearables show potential to identify mood episodes and specific symptoms of mania and depression quantitatively, both in BD and MDD. Motor activity and stress-related physiological data (EDA and HR) stand out as potential digital biomarkers for predicting mania and depression, respectively. These findings represent a promising pathway toward personalized psychiatry, in which physiological wearable data could allow the early identification and intervention of mood episodes.
Gerard Anmella, A. Mas, I. Pacchiarotti, Tábatha Maria Fernández, A. Bastidas, I. Agasi, M. Garriga, N. Verdolini, N. Arbelo, D. Nicolás, M. Valentí, A. Murru, Eduard Vieta, A. Solanes, F. Corponi, Bryan M. Li, D. Hidalgo-Mazzei
Filippo Corponi, Bryan M. Li, Gerard Anmella, Ariadna Mas, Miriam Sanabra, Eduard Vieta, Stephen M. Lawrie, Heather C. Whalley, Diego Hidalgo‐Mazzei, Antonio Vergari
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