Evidence map›Paper›PMID 36797176›Full record

ReviewBiological psychiatry2023

Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones.

Amanda L McGowan, Farah Sayed, Zachary M Boyd, Mia Jovanova, Yoona Kang, Megan E Speer, Danielle Cosme, Peter J Mucha, Kevin N Ochsner, Dani S Bassett and 2 more

Open access · greenAbstract readReview
In one paragraph

Review in Biological psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Beyond the Outburst: Charting a New Frontier for Understanding and Treating Irritability in Autistic Adults.Autism research : official journal of the International Society for Autism Research · 2026
    Review
  6. Neurophysiological Markers of Regulation Success in Everyday Life in Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Quality over quantity: powering neuroimaging samples in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  12. Article
  13. Review
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 2 countries.

Amanda L McGowanAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychology, Concordia University, Montréal, Québec, Canada.
Farah SayedAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
Zachary M BoydDepartment of Mathematics, Brigham Young University, Provo, Utah.
Mia JovanovaAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
Yoona KangAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
Megan E SpeerDepartment of Psychology, Columbia University, New York, New York.
Danielle CosmeAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
Peter J MuchaDepartment of Mathematics, Dartmouth College, Hanover, New Hampshire.
Kevin N OchsnerDepartment of Psychology, Columbia University, New York, New York.
Dani S BassettDepartment 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 School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Santa Fe Institute, Santa Fe, New Mexico.
Emily B FalkAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania; Marketing Department, Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania; Operations, Information and Decisions, Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania.
David M Lydon-StaleyAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: david.lydonstaley@asc.upenn.edu.
University of Pennsylvania · USColumbia University · USBrigham Young University · USConcordia University · CADartmouth College · USUniversity of the Sciences · US

Funding

Person-specific dynamic networks of nicotine withdrawal: implications for smoking cessationK01DA047417 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI LYDON, DAVID MARTIN · 2019 to 2023
$763k
NIDA NIH HHS K01 DA047417
6 · The paper itself

Abstract

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.

Indexed as

PsychiatrySmartphoneBrainHumansPsychopathologyAmbulatory assessmentExperience samplingMagnetic resonance imagingNetwork analysis

Identifiers

PMID36797176
PMCPMC10038886
OpenAlexW4312085195

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.