Journal
ANNUAL REVIEW OF NEUROSCIENCE, VOL 44, 2021
Volume 44, Issue -, Pages 129-151Publisher
ANNUAL REVIEWS
DOI: 10.1146/annurev-neuro-101220-014053
Keywords
smartphone; psychiatry; mental health; cognitive neuroscience; big data; longitudinal
Categories
Funding
- MQ: Transforming Mental Health [MQ16IP13]
- Global Brain Health Institute [18GPA02]
- Science Foundation Ireland [19/FFP/6418]
- Medical Research Council Career Development Award [MR/N02401X/]
- NARSAD Young Investigator Award from the Brain & Behavior Research Foundation, PS Fund
- National Institute of Mental Health [1R01MH124110]
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Improvements in understanding the neurobiological basis of mental illness have not resulted in major advances in treatment. Smartphone-based research methods have the potential to complement lab-based neuroscience research and provide rich data sets for researchers to understand the relationship between brain function and mental health.
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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