Evidence map›Paper›PMID 30793078›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2019

Time-evolving dynamics in brain networks forecast responses to health messaging.

Nicole Cooper, Javier O Garcia, Steven H Tompson, Matthew B O'Donnell, Emily B Falk, Jean M Vettel

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Deciphering the neural responses to a naturalistic persuasive message.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Brain system integration and message consistent health behavior change.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors.

Nicole CooperAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.
Javier O GarciaU.S. Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, MD, USA.
Steven H TompsonU.S. Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, MD, USA.
Matthew B O'DonnellAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.
Emily B FalkAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.
Jean M VettelU.S. Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, MD, USA.

Funding

UPENN TCORS: Tobacco Product Messaging in a Complex Communication EnvironmentP50CA179546 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C. · 2013 to 2017
$18.7M
Training / Career DevelopmentP50CA101451 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STRECHER, VICTOR J · 2003 to 2012
$18.2M
Can neuroscience dramatically improve our ability to design health communicationsDP2DA035156 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI FALK, EMILY · 2012 to 2012
$2.3M
NCI NIH HHS P50 CA101451NCI NIH HHS P50 CA179546NIDA NIH HHS DP2 DA035156
6 · The paper itself

Abstract

Neuroimaging measures have been used to forecast complex behaviors, including how individuals change decisions about their health in response to persuasive communications, but have rarely incorporated metrics of brain network dynamics. How do functional dynamics within and between brain networks relate to the processes of persuasion and behavior change? To address this question, we scanned 45 adult smokers by using functional magnetic resonance imaging while they viewed anti-smoking images. Participants reported their smoking behavior and intentions to quit smoking before the scan and 1 month later. We focused on regions within four atlas-defined networks and examined whether they formed consistent network communities during this task (measured as allegiance). Smokers who showed reduced allegiance among regions within the default mode and fronto-parietal networks also demonstrated larger increases in their intentions to quit smoking 1 month later. We further examined dynamics of the ventromedial prefrontal cortex (vmPFC), as activation in this region has been frequently related to behavior change. The degree to which vmPFC changed its community assignment over time (measured as flexibility) was positively associated with smoking reduction. These data highlight the value in considering brain network dynamics for understanding message effectiveness and social processes more broadly.

Indexed as

Behavior changeFunctional connectivityFunctional MRI (fMRI)NeuroimagingSmoking

Identifiers

PMID30793078
PMCPMC6372021

What OpenQuestion holds

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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.