Evidence map›Paper›PMID 40324902›Full record

ArticleSocial cognitive and affective neuroscience2025

Baseline physical activity moderates brain-behaviour relationships in response to framed health messages.

Jeesung Ahn, Nicole Cooper, Yoona Kang, Matthew Brook O'Donnell, Mikella A Green, Nanna Notthoff, Laura L Carstensen, Gregory R Samanez-Larkin, Emily B Falk

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

9 authors.

Jeesung AhnDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104, United States.ORCID 0000-0003-0442-9253
Nicole CooperAnnenberg School for Communication ,University of Pennsylvania, Philadelphia, PA 19104, United States.
Yoona KangAnnenberg School for Communication ,University of Pennsylvania, Philadelphia, PA 19104, United States.
Matthew Brook O'DonnellAnnenberg School for Communication ,University of Pennsylvania, Philadelphia, PA 19104, United States.
Mikella A GreenDepartment of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States.
Nanna NotthoffDepartment of Psychology, Stanford University, Stanford, CA 94305, United States.
Laura L CarstensenDepartment of Psychology, Stanford University, Stanford, CA 94305, United States.ORCID 0000-0002-5011-3789
Gregory R Samanez-LarkinDepartment of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States.ORCID 0000-0001-7846-3804
Emily B FalkDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104, United States.

Funding

Training / Career DevelopmentP50CA101451 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STRECHER, VICTOR J · 2003 to 2012
$18.2M
Socioemotional Functioning in Adulthood and Old AgeR37AG008816 · NIA · STANFORD UNIVERSITY · PI CARSTENSEN, LAURA L · 2005 to 2024
$11.7M
Pilot CoreP30AG024957 · NIA · STANFORD UNIVERSITY · PI GARBER, ALAN MICHAEL · 2004 to 2013
$3.6M
Can neuroscience dramatically improve our ability to design health communicationsDP2DA035156 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI FALK, EMILY · 2012 to 2012
$2.3M
PQA - 3: Neural predictors of receptivity to health communication and behavior chR01CA180015 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FALK, EMILY · 2013 to 2016
$2.2M
Neural predictors of risky driving and susceptibility to peer influences in adoleR21HD073549 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI FALK, EMILY · 2013 to 2014
$374k
Army Research Office W911NF-18-1-0244Center for Advancing Decision Making and Aging (NIA Roybal Center) 5P30-AG024957Hopelab FoundationJohn Templeton Foundation Grants 47993 and 57942NCI NIH HHS P50 CA101451NCI NIH HHS R01 CA180015NIA NIH HHS P30 AG024957NIA NIH HHS R37 AG008816NICHD NIH HHS R21 HD073549NIDA NIH HHS DP2 DA035156NIH/National Cancer Institute 1R01CA180015-01NIH New Innovator Award 1DP2DA03515601Small Business Innovation Research grant in collaboration with Charles River Analytics and CACI through the Defense Advanced Research Project Agency (DARPA) 140D0419C0093US Army Research Laboratory W911NF-10-2-0022
6 · The paper itself

Abstract

Health messaging often employs gain-framing (highlighting behaviour benefits) or loss-framing (emphasizing nonengagement risks) to promote behaviour change. This study examined how neural responses to gain- and loss-framed messages predict changes in physical activity. We conducted a mega-analysis of raw fMRI and pedometer/accelerometer data from four studies (N = 240) that tracked brain activity during message exposure and real-world physical activity longitudinally. Focusing on brain regions theorized by the Affect-Integration-Motivation framework-the anterior insula, ventral striatum, ventromedial prefrontal cortex, dorsal striatum, and presupplementary motor area-we found that baseline physical activity levels moderated brain-behaviour relationships in response to message framing. More active individuals increased physical activity post-intervention when these brain regions responded more strongly to loss-framed messages, suggesting that neural sensitivity to inactivity risks may reinforce behaviour maintenance in this group. Conversely, less active individuals increased physical activity when brain responses were stronger to gain-framed messages, indicating that sensitivity to activity benefits may facilitate action initiation in this group. These findings suggest that message effectiveness depends on the interaction between framing, neural processing, and pre-existing behavioural patterns. By linking neurocognitive mechanisms with real-world outcomes, we highlight the importance of personalized, neuroscience-informed health interventions tailored to individual neural and behavioural characteristics to optimize behaviour change strategies.

Indexed as

BrainExerciseHealth BehaviorAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMotivationYoung Adultbrain–behaviour relationshipsfMRIhealth communicationindividual differencesmessage framingphysical activity

Identifiers

PMID40324902
PMCPMC12124189

What OpenQuestion holds

Textmetadata
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.