Cited by 147Neural and Behavioral Psychology StudiesDeath Anxiety and Social ExclusionBullying, Victimization, and Aggression

The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index; none of the 50 sources its claims cite is checked for support yet.

Risk-taking and social exclusion in adolescence: Neural mechanisms underlying peer influences on decision-making

Open access

Abstract

Social exclusion and risk-taking are both common experiences of concern in adolescence, yet little is known about how the two may be related at behavioral or neural levels. In this fMRI study, adolescents (N=27, 14 male, 14-17years-old) completed a series of tasks in the scanner assessing risky decision-making before and after an episode of social exclusion. In this particular context, exclusion was associated with greater behavioral risk-taking among adolescents with low self-reported resistance to peer influence (RPI). When making risky decisions after social exclusion, adolescents who had lower RPI exhibited higher levels of activity in the right temporoparietal junction (rTPJ), and this response in rTPJ was a significant mediator of the relationship between RPI and greater risk-taking after social exclusion. Lower RPI was also associated with lower levels of activity in lPFC during crashes following social exclusion, but unlike rTPJ this response in lPFC was not a significant mediator of the relationship between RPI and greater risk-taking after social exclusion. The results suggest that mentalizing and/or attentional mechanisms have a unique direct effect on adolescents' vulnerability to peer influence on risk-taking.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In an fMRI study of adolescents, social exclusion by peers was linked to greater subsequent risk-taking mainly among those with low self-reported resistance to peer influence (RPI). Right temporoparietal junction (rTPJ) activity during risky decisions after exclusion mediated the relationship between low RPI and increased risk-taking, whereas lateral prefrontal cortex (lPFC) activity during crashes did not.

Key findings

  • Risk-taking increased after social exclusion, but the group-level effect was not statistically significant: t(19) = 1.84, two-tailed p = .08.
  • Greater increase in risk-taking after exclusion was correlated with lower RPI: r(18) = −.55, p = .01.
  • During risky decisions after exclusion, lower RPI was associated with higher right TPJ activity; rTPJ significantly mediated the RPI–risk-taking relationship (unstandardized coefficient = 0.979, se = .405, Zmed = 2.42, p = .016; bias-corrected 95% CI .1407–2.0224).
  • Lower RPI was also associated with lower lPFC activity during crashes after exclusion, but lPFC did not significantly mediate the RPI–risk-taking relationship.

Methods

  • Adolescents completed the Stoplight driving task in the scanner before and after a Cyberball social exclusion manipulation; 27 participated, but 7 were excluded, leaving 20 analyzed (10 girls, 10 boys, 14.0–16.8 years, M = 15.3, SD = 0.8).
  • Self-report measures included the Resistance to Peer Influence (RPI) scale, Need-Threat Scale (NTS), and a composite real-world risk-taking measure (CRT).
  • fMRI data were analyzed with a general linear model using decision (Go, Stop) and outcome (Crash, NoCrash) regressors, random-effects group analyses, and mediation analyses using the INDIRECT SPSS macro with bootstrapping.

Limitations

  • The paper states that the fixed pre- then post-exclusion sequence could not be counterbalanced, so changes may reflect boredom, fatigue, or adaptation/repetition suppression rather than exclusion alone.
  • The paper notes that Cyberball included both inclusion and exclusion rounds, so increased peer awareness from interaction could contribute; it also notes the sample was typically developing and low in real-world risk behavior, and age specificity is unclear.
  • Evident from the text: the analyzed sample was small (N = 20), and there was no between-subjects post-inclusion control condition to isolate exclusion-specific effects.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2013.05.061

Cites

104 of 104 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

30 Own result · 26 Not checked yet · 19 Own interpretation · 7 Own method · 1 No basis given

Verify all 50 references — free account

Show all 54 claims

  • It may state two separate claims as one. 17
  • Probably not a substantial claim. 17
29 of 29
  • The paper relies on this without support.

    The pre- versus post-exclusion Stoplight comparison isolates the effect of social exclusion, with no confounding by repeated testing, time, fatigue, or order.

    “After being trained on the task by playing five rounds alone (to eliminate learning effects), subjects first complete the Stoplight task while the peers are watching, then play the Stoplight task again after an experience of being excluded from a different game by the peers.”
    “Following the Cyberball game, subjects completed the Stoplight task again and were told that their performance was still being watched, again by the same peers that previously excluded them from the Cyberball game (post-exclusion condition).”
1 of 1

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Consistentr(18) = -0.55reported p = .01 · recomputed p = .012

    “r(18) = −.55, p = .01”

  • Consistentr(18) = -0.5reported p = .024 · recomputed p = .025

    “r(18) = −.50, p = .024”

  • Consistentr(18) = 0.51reported p = .021 · recomputed p = .022

    “r(18) = .51, p = .021”

  • Consistentr(18) = -0.27reported n.s. · recomputed p = .250

    “r(18) = −.27, ns”

4 of 4

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Self-check results appear here once an independent check has confirmed them.

Citations

Cites

Cited by

Sorted by citations

See all 147

Metadata

Authors
Peake, S. J., Dishion, T. J., Stormshak, E. A., Moore, W. E., & Pfeifer, J. H.
Affiliations
  • University of Oregon (US)
  • Arizona State University (US)
Corresponding author
Pfeifer, Jennifer H.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2013-11
Volume
82
Pages
23-34
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2163515328
Cited by
147
References
104
Citations by year
2026: 3 · 2025: 6 · 2024: 8 · 2023: 5 · 2022: 11 · 2021: 23 · 2020: 15 · 2019: 13 · 2018: 18 · 2017: 14 · 2016: 9 · 2015: 12 · 2014: 8 · 2013: 2
FWCI
5.65
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute on Drug Abuse to the Center on Early Adolescence (DA018760)
  • NIMH Development, Emotion, Ecology, and Psychopathology Research Training (5T32-MH20012)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Social Sciences › Psychology › Social Psychology › Death Anxiety and Social Exclusion
  • Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
Keywords
social exclusion, risk-taking, risky decision making, peer influence, resistance to peer influence, adolescents, temporoparietal junction, prefrontal cortex, mentalization, attention, mediation
MeSH terms
Adolescent, Brain, Brain Mapping, Decision Making, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Peer Group, Risk-Taking, Psychological Distance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review