ArticleJournal of psychopathology and clinical science2025
Predicting cognitive functioning in mood disorders through smartphone typing dynamics.
Article in Journal of psychopathology and clinical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Smartphone Keystroke Biomarkers as Predictors of Adverse Neuropsychiatric Sequelae After Trauma in Trauma Survivors: Prospective Observational Cohort Study.Journal of medical Internet research · 2026Observational
- Sleep, Steps, and Screens: Between- and within-person effects of digital markers of daily life behaviors on smartphone-based assessments of cognitive functioning in depression.Neuroscience applied · 2026Article
- Keying Into Cognition: Temporal Smoothing of Smartphone Typing Behaviors for Passive Assessment of Processing Speed and Executive Function in Individuals With Mood Disorders.Cognitive computation · 2026Article
- Digital tools for assessing bipolar disorder: A scoping review of the current landscape.Neuroscience applied · 2026Article
- Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Mood disorders (MDs) such as major depressive disorder and bipolar disorder are associated with significant functional impairments, particularly in cognition, which can adversely affect daily functioning and social interactions. This study aims to predict cognitive functioning prospectively in individuals with MDs using passive data from smartphone typing dynamics. Over a period of approximately 28 days, participants (
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Registered trials
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.