Assessment of cognitive function in bipolar disorder with passive smartphone keystroke metadata: a BiAffect digital phenotyping study
This pilot study demonstrates that passive, unobtrusive smartphone keystroke metadata can be used to probe cognitive function and dysfunction in bipolar disorder, revealing multi-scalar behavioral features accessible through digital assays.
Authors
- John S. Bark
- Alexander P. Demos (ORCID: https://orcid.org/0000-0001-7964-7808)
- Melvin G. McInnis (ORCID: https://orcid.org/0000-0002-0375-6247)
- Kelly A. Ryan (ORCID: https://orcid.org/0000-0001-5032-3949)
- John Zulueta (ORCID: https://orcid.org/0000-0001-6834-1256)
- Alex Leow (ORCID: https://orcid.org/0000-0002-5660-8651)
- Jonathan P. Stange
- Faraz Hussain (ORCID: https://orcid.org/0000-0002-4910-1342)
- Peter Nelson (ORCID: https://orcid.org/0000-0002-8738-4849)
- Scott A. Langenecker (ORCID: https://orcid.org/0000-0002-7932-5494)
- Jennifer Duffecy (ORCID: https://orcid.org/0000-0002-4505-6820)
- Olusola Ajilore (ORCID: https://orcid.org/0000-0003-0737-0437)
Institutions
- University of Southern California (US)
- Illinois College (US)
- University of Michigan (US)
- University of Illinois Chicago (US)
- The Ohio State University (US)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-03-06
- DOI
- https://doi.org/10.3389/fpsyt.2025.1430303
- Citations
- 4
- Primary Topic
- Bipolar Disorder and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 5.88
Funders
- National Institute of Mental Health