Evidence map›Paper›PMID 33343763›Full record

ArticleMindfulness2020

Neural Mechanisms of Attitude Change Toward Stigmatized Individuals: Temporoparietal Junction Activity Predicts Bias Reduction.

Yoona Kang, Emily B Falk

Abstract read
In one paragraph

Article in Mindfulness, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

2 authors.

Yoona KangAnnenberg School for Communication, University of Pennsylvania.
Emily B FalkAnnenberg School for Communication, University of Pennsylvania.

Funding

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
NCI NIH HHS R01 CA180015NIDA NIH HHS DP2 DA035156
6 · The paper itself

Abstract

objectivesPsychological and neural evidence suggests that negative attitudes toward stigmatized individuals arise in part from failures to perceive them as social targets. Here, we tested whether experimentally up-regulating neural regions involved in social cognition would predict subsequent decreases in bias toward stigmatized individuals (i.e., people who use substances).

methodsParticipants underwent fMRI while completing either a lovingkindness intervention task or a control task, and each task was reinforced via daily text messages for a month following the one-time fMRI scan. Changes in implicit bias against stigmatized individuals were measured by Implicit Association Tests.

resultsThe lovingkindness intervention task, compared to a control task, elicited greater baseline activity in right temporoparietal junction (RTPJ), implicated in mentalizing, or the process of making inferences about others' mental states. The lovingkindness task compared to the control task also produced marginal decreases in bias over the month of the intervention. Individual differences in initial RTPJ activity at baseline during the fMRI intervention tasks further predicted improved implicit attitudes toward stigmatized individuals a month later.

conclusionsThe current study suggests that individual differences in people's tendency to engage brain regions that support taking others' perspectives are associated with greater changes in bias reduction over time. It is possible that strategies that up-regulate mentalizing activity, such as lovingkindness training and other strategies that increase social-cognitive processing, may be effective in shifting people's biases against stigmatized individuals.

Identifiers

PMID33343763
PMCPMC7748150

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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.