ArticleAnnual review of neuroscience2021
Smartphones and the Neuroscience of Mental Health.
Article in Annual review of neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
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
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.
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Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analytic evidence that mindfulness training alters resting state default mode network connectivity.Scientific reports · 2022Pooled it
- Memory in the Palm of Your Hand: Smartphone-based Methods for Measuring Memory in the Wild.Journal of cognitive neuroscience · 2026Article
- Obsessive-compulsive tendencies shift the balance between competitive neurocognitive functions.iScience · 2026Article
- Cognitive modeling of real-world behavior for understanding mental health.Trends in cognitive sciences · 2026Review
- Threading the Needle: Practical Considerations for Merging Theory-Driven Computational Psychiatry With Data-Driven Analytics to Enhance Precision Health at Scale.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Review
- Childhood Unpredictability and Smartphone Addiction in Chinese Adolescents: Mediating Role of Self-Concept Clarity and Self-Control and Moderating Role of Psychological Resilience.Behavioral sciences (Basel, Switzerland) · 2026Article
- Computational Modelling Reveals Slower Safety Learning and Threat Extinction are Associated With Higher Anxiety Severity in Remote Fear Conditioning.Computational psychiatry (Cambridge, Mass.) · 2026Article
- How public involvement can improve the science of AI.Proceedings of the National Academy of Sciences of the United States of America · 2025Review
- Autistic traits relate to speed/accuracy trade-off but not statistical learning and updating.Scientific reports · 2025Article
- A framework for parsing psychopathological heterogeneity: initial application in a large-scale unselected community sample.BMC psychiatry · 2025Article
- Digital questionnaire response time (DQRT): A ubiquitous and low-cost digital assay of cognitive processing speed.Behavior research methods · 2025Article
- AI for mental health: clinician expectations and priorities in computational psychiatry.BMC psychiatry · 2025Article
- Revisiting the role of computational neuroimaging in the era of integrative neuroscience.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Review
- Identifying older adults at risk for dementia based on smartphone data obtained during a wayfinding task in the real world.PLOS digital health · 2024Article
- Language sentiment predicts changes in depressive symptoms.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Characterizing the dynamics, reactivity and controllability of moods in depression with a Kalman filter.PLoS computational biology · 2024Article
- Reliable, rapid, and remote measurement of metacognitive bias.Scientific reports · 2024Article
- Ethological computational psychiatry: Challenges and opportunities.Current opinion in neurobiology · 2024Review
- The Future of Decisions From Experience: Connecting Real-World Decision Problems to Cognitive Processes.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Improvements in understanding the neurobiological basis of mental illness have unfortunately not translated into major advances in treatment. At this point, it is clear that psychiatric disorders are exceedingly complex and that, in order to account for and leverage this complexity, we need to collect longitudinal data sets from much larger and more diverse samples than is practical using traditional methods. We discuss how smartphone-based research methods have the potential to dramatically advance our understanding of the neuroscience of mental health. This, we expect, will take the form of complementing lab-based hard neuroscience research with dense sampling of cognitive tests, clinical questionnaires, passive data from smartphone sensors, and experience-sampling data as people go about their daily lives. Theory- and data-driven approaches can help make sense of these rich data sets, and the combination of computational tools and the big data that smartphones make possible has great potential value for researchers wishing to understand how aspects of brain function give rise to, or emerge from, states of mental health and illness.
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What OpenQuestion holds
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.