Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones.
Ambulatory assessment
Experience sampling
Magnetic resonance imaging
Network analysis
Journal
Biological psychiatry
ISSN: 1873-2402
Titre abrégé: Biol Psychiatry
Pays: United States
ID NLM: 0213264
Informations de publication
Date de publication:
15 04 2023
15 04 2023
Historique:
received:
13
05
2022
revised:
22
11
2022
accepted:
14
12
2022
pmc-release:
15
04
2024
pubmed:
17
2
2023
medline:
25
3
2023
entrez:
16
2
2023
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 36797176
pii: S0006-3223(22)01823-6
doi: 10.1016/j.biopsych.2022.12.012
pmc: PMC10038886
mid: NIHMS1859700
pii:
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
681-689Subventions
Organisme : NIDA NIH HHS
ID : K01 DA047417
Pays : United States
Informations de copyright
Copyright © 2022 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
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