Evidence map›Paper›PMID 36324655›Full record

ArticleBiological psychiatry global open science2022

Controllability of Structural Brain Networks and the Waxing and Waning of Negative Affect in Daily Life.

Amanda L McGowan, Linden Parkes, Xiaosong He, Ovidia Stanoi, Yoona Kang, Silicia Lomax, Mia Jovanova, Peter J Mucha, Kevin N Ochsner, Emily B Falk and 2 more

Abstract read
In one paragraph

Article in Biological psychiatry global open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Mindful attention promotes control of brain network dynamics for self-regulation and discontinues the past from the present.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Trial
  3. Article
  4. Article
  5. Article
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  9. Review
  10. Review
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.

Amanda L McGowanAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
Linden ParkesDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania.
Xiaosong HeDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania.
Ovidia StanoiDepartment of Psychology, Columbia University, New York, New York.
Yoona KangAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
Silicia LomaxAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
Mia JovanovaAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
Peter J MuchaDepartment of Mathematics and Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina.
Kevin N OchsnerDepartment of Psychology, Columbia University, New York, New York.
Emily B FalkAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.
Dani S BassettDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania.
David M Lydon-StaleyAnnenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania.

Funding

Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9M
Person-specific dynamic networks of nicotine withdrawal: implications for smoking cessationK01DA047417 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI LYDON, DAVID MARTIN · 2019 to 2023
$763k
Discovering prognostic neuroimaging biomarkers of the psychosis spectrum using network control theoryR00MH127296 · NIMH · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI PARKES, LINDEN · 2023 to 2025
$747k
Discovering prognostic neuroimaging biomarkers of the psychosis spectrum using network control theoryK99MH127296 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI PARKES, LINDEN · 2021 to 2022
$146k
NIDA NIH HHS K01 DA047417NIMH NIH HHS K99 MH127296NIMH NIH HHS R00 MH127296NIMH NIH HHS R01 MH113550
6 · The paper itself

Abstract

Background: The waxing and waning of negative affect in daily life is normative, reflecting an adaptive capacity to respond flexibly to changing circumstances. However, understanding of the brain structure correlates of affective variability in naturalistic settings has been limited. Using network control theory, we examine facets of brain structure that may enable negative affect variability in daily life. Methods: We used diffusion-weighted imaging data from 95 young adults (age [in years]: mean = 20.19, SD = 1.80; 56 women) to construct structural connectivity networks that map white matter fiber connections between 200 cortical and 14 subcortical regions. We applied network control theory to these structural networks to estimate the degree to which each brain region's pattern of structural connectivity facilitates the spread of activity to other brain systems. We examined how the average controllability of functional brain systems relates to negative affect variability, computed by taking the standard deviation of negative affect self-reports collected via smartphone-based experience sampling twice per day over 28 days as participants went about their daily lives. Results: We found that high average controllability of the cingulo-insular system is associated with increased negative affect variability. We also found that greater negative affect variability is related to the presence of more depressive symptoms, yet average controllability of the cingulo-insular system was not associated with depressive symptoms. Conclusions: Our results highlight the role that brain structure plays in affective dynamics as observed in the context of daily life, suggesting that average controllability of the cingulo-insular system promotes normative negative affect variability.

Indexed as

Affect variabilityAverage controllabilityCingulo-insular systemDepressionEcological momentary assessmentNetwork control theory

Identifiers

PMID36324655
PMCPMC9616346

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.