This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2498) Depression and Mood Disorders; Suicide Prevention (1393) Digital Biomarkers and Digital Phenotyping (198) Mobile Health (mhealth) (2987)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40197, first published .
Utility of Smartphone-Based Digital Phenotyping Biomarkers in Assessing Treatment Response to Transcranial Magnetic Stimulation in Depression: Proof-of-Concept Study

Utility of Smartphone-Based Digital Phenotyping Biomarkers in Assessing Treatment Response to Transcranial Magnetic Stimulation in Depression: Proof-of-Concept Study

Utility of Smartphone-Based Digital Phenotyping Biomarkers in Assessing Treatment Response to Transcranial Magnetic Stimulation in Depression: Proof-of-Concept Study

Authors of this article:

Radhika Suneel Kelkar1 Author Orcid Image ;   Danielle Currey2 Author Orcid Image ;   Srilakshmi Nagendra1 Author Orcid Image ;   Urvakhsh Meherwan Mehta1 Author Orcid Image ;   Vanteemar S Sreeraj1 Author Orcid Image ;   John Torous2 Author Orcid Image ;   Jagadisha Thirthalli1 Author Orcid Image
Article Authors Cited by (5) Tweetations (15) Metrics

Journals

  1. Kilshaw R, Boggins A, Everett O, Butner E, Leifker F, Baucom B. Benchmarking Mental Health Status Using Passive Sensor Data: Protocol for a Prospective Observational Study. JMIR Research Protocols 2024;13:e53857 View
  2. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
  3. Cappon D, Pascual-Leone A. Toward Precision Noninvasive Brain Stimulation. American Journal of Psychiatry 2024;181(9):795 View
  4. Sonig A, Deeney C, Hurley M, Storch E, Herrington J, Lázaro-Muñoz G, Zampella C, Tunc B, Parish-Morris J, Blumenthal-Barby J, Kostick-Quenet K. Ethical concerns of using computer perception technologies among pediatric patients. AI and Ethics 2024 View
  5. Hackett K, Xu S, McKniff M, Paglia L, Barnett I, Giovannetti T. Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study. JMIR Human Factors 2024;11:e59974 View