Assessment of cognitive function in bipolar disorder with passive smartphone keystroke metadata
A BiAffect digital phenotyping study
Bibliographic Data
| ID | 15521365 |
|---|---|
| Authors | Olusola Ajilore (0000-0003-0737-0437, Illinois College, corresponding author), John S Bark (University of Illinois Chicago), Alexander P Demos (0000-0001-7964-7808, University of Illinois Chicago), John Zulueta (0000-0001-6834-1256, Illinois College), Jonathan P Stange (0000-0003-3718-5945, University of Southern California), Jennifer Duffecy (0000-0002-4505-6820, Illinois College), Faraz Hussain (0000-0002-4910-1342, Illinois College), Scott A Langenecker (0000-0002-7932-5494, The Ohio State University), Peter Nelson (0000-0001-9163-5519, University of Illinois Chicago), Kelly A Ryan (0000-0001-5032-3949, University of Michigan), Melvin G McInnis (0000-0002-0375-6247, University of Michigan), Alex Leow (0000-0002-5660-8651, Illinois College) |
| Year | 2025 |
| Volume | 16 |
| Pages | 1430303-1430303 |
| Publication date | 2025-03-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2025.1430303 |
| PMID | 40115651 |
| OpenAlex | W4408207304 |
| Language | EN |
| References cited | 4 |
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
Bipolar disorder · Cognition · Computer security · Keystroke logging · Metadata · Psychiatry · World Wide Web · Bipolar Disorder and Treatment · Clinical Psychology · Computer Science · Digital Mental Health Interventions · Medicine · Neurological disorders and treatments · Psychology
| Citation velocity | historical |
|---|---|
| Highly cited | No |