Evidence map›Paper›PMID 40115651›Full record

ArticleFrontiers in psychiatry2025

Assessment of cognitive function in bipolar disorder with passive smartphone keystroke metadata: a BiAffect digital phenotyping study.

Olusola Ajilore, John S Bark, Alexander P Demos, John Zulueta, Jonathan Stange, Jennifer Duffecy, Faraz Hussain, Scott A Langenecker, Peter Nelson, Kelly Ryan and 2 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Olusola AjiloreDepartment of Psychiatry, University of Illinois College of Medicine, Chicago, IL, United States.
John S BarkDepartment of Psychiatry, University of Illinois College of Medicine, Chicago, IL, United States.
Alexander P DemosDepartment of Psychology, University of Illinois Chicago, Chicago, IL, United States.
John ZuluetaDepartment of Psychiatry, University of Illinois College of Medicine, Chicago, IL, United States.
Jonathan StangeDepartment of Psychology and Psychiatry and the Behavioral Sciences, University of Southern California, Los Angeles, CA, United States.
Jennifer DuffecyDepartment of Psychiatry, University of Illinois College of Medicine, Chicago, IL, United States.
Faraz HussainDepartment of Psychiatry, University of Illinois College of Medicine, Chicago, IL, United States.
Scott A LangeneckerDepartment of Psychiatry, The Ohio State University, Columbus, OH, United States.
Peter NelsonDepartment of Bioengineering, University of Illinois Chicago, Chicago, IL, United States.
Kelly RyanDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Melvin G McInnisDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Alex LeowDepartment of Psychiatry, University of Illinois College of Medicine, Chicago, IL, United States.

Funding

Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard DynamicsR01MH120168 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AJILORE, OLUSOLA A., LEOW, ALEX · 2020 to 2024
$3.2M
NIMH NIH HHS R01 MH120168
6 · The paper itself

Abstract

Background: Cognitive dysfunction in bipolar disorder persists in the euthymic state and has been shown to be associated with a number of negative sequelae including treatment resistance and increased risk of relapse. There has been recent attention on digital phenotyping and passive sensing through smart, connected devices to probe cognition in real-world settings. BiAffect is a custom-built smartphone keyboard that captures keystroke metadata ('how you type, not what you type'). In previous studies, our group has demonstrated that BiAffect-derived keystroke metadata is associated with cognitive domains like processing speed. For the present study, we hypothesized that typing metadata would be significantly associated with executive function and planning. Methods: 18 participants with bipolar disorder and 12 healthy comparison participants from the Prechter Longitudinal Study of Bipolar Disorder at the University of Michigan were provided a mobile phone with a customized keyboard that passively collected keystroke metadata. Participants also completed a neuropsychological battery including the Tower of London task. Irregularities in typing and times to make a move on the Tower of London task were compared using sample and Shannon entropy, respectively. Results: Participants with bipolar disorder had significant increases in entropy in typing ( Conclusions: 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.

Indexed as

bipolar disorderdigital biomarkersdigital phenotypingexecutive functionsmartphone

Identifiers

PMID40115651
PMCPMC11922855

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.