Evidence map›Paper›PMID 34887402›Full record

ArticleNPJ schizophrenia2021

Dynamic contextual influences on social motivation and behavior in schizophrenia: a case-control network analysis.

Varsha D Badal, Emma M Parrish, Jason L Holden, Colin A Depp, Eric Granholm

Abstract read
In one paragraph

Article in NPJ schizophrenia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Digital and precision clinical trials: innovations for testing mental health medications, devices, and psychosocial treatments.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  9. Article
  10. Moment-to-moment affective dynamics in schizophrenia and bipolar disorder.European psychiatry : the journal of the Association of European Psychiatrists · 2023
    Article
  11. Article
  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

5 authors.

Varsha D BadalDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0001-7281-9136
Emma M ParrishSan Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
Jason L HoldenDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Colin A DeppDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-1841-6229
Eric GranholmDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA. egranholm@health.ucsd.edu.ORCID http://orcid.org/0000-0003-2040-7951

Funding

FELLOWSHIP IN GERIATRIC MENTAL HEALTHT32MH019934 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Elizabeth W Twamley · 1994 to 2026
$9.5M
Social Cognition and Suicide in Psychotic DisordersR01MH116902 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2019 to 2022
$3.2M
Ecological Momentary Assessment of Functioning in SchizophreniaI01CX000810 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI GRANHOLM, ERIC L · 2013 to 2015
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CSRD VA I01 CX000810NIMH NIH HHS R01 MH116902NIMH NIH HHS T32 MH019934
6 · The paper itself

Abstract

Contextual influences on social behavior and affective dynamics are not well understood in schizophrenia. We examined the role of social context on emotions, and the motivation to interact in the future, using dynamic network analysis of ecological momentary assessment (EMA) data. Participants included 105 outpatients with schizophrenia or schizoaffective disorder (SZ) and 76 healthy comparators (HC) who completed 7 days, 7 times a day of EMA. Dynamic networks were constructed using EMA data to visualize causal interactions between emotional states, motivation, and context (e.g., location, social interactions). Models were extended to include the type and frequency of interactions and the motivation to interact in the near future. Results indicated SZ networks were generally similar to HC but that contextual influences on emotion and social motivation were more evident in SZ. Further, feedback loops in HC were likely adaptive (e.g., positive emotions leading to social motivation), but most were likely maladaptive in SZ (e.g., sadness leading to reduced happiness leading to increased sadness). Overall, these findings indicate that network analyses may be useful in specifying emotion regulation problems in SZ and that instability related to contextual influences may be a central aspect of aberrant regulation.

Identifiers

PMID34887402
PMCPMC8660790

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Registered trials

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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.