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Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones

Authors: McGowan ALSayed FBoyd ZMJovanova MKang YSpeer MECosme DMucha PJOchsner KNBassett DSFalk EBLydon-Staley DM


Affiliations

1 Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychology, Concordia University, Montréal, Québec, Canada.
2 Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
3 Department of Mathematics, Brigham Young University, Provo, Utah.
4 Department of Psychology, Columbia University, New York, New York.
5 Department of Mathematics, Dartmouth College, Hanover, New Hampshire.
6 Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Neurology, Perelman Sc

Description

Together, data from brain scanners and smartphones have sufficient coverage of biology, psychology, and environment to articulate between-person differences in the interplay within and across biological, psychological, and environmental systems thought to underlie psychopathology. An important next step is to develop frameworks that combine these two modalities in ways that leverage their coverage across layers of human experience to have maximum impact on our understanding and treatment of psychopathology. We review literature published in the last 3 years highlighting how scanners and smartphones have been combined to date, outline and discuss the strengths and weaknesses of existing approaches, and sketch a network science framework heretofore underrepresented in work combining scanners and smartphones that can push forward our understanding of health and disease.


Keywords: Ambulatory assessmentExperience samplingMagnetic resonance imagingNetwork analysis


Links

PubMed: https://pubmed.ncbi.nlm.nih.gov/36797176/

DOI: 10.1016/j.biopsych.2022.12.012