Evidence map›Paper›PMID 32685967›Full record

ArticleSocial cognitive and affective neuroscience2020

Social optimism biases are associated with cortical thickness.

Dominik Andreas Moser, Mihai Dricu, Roland Wiest, Laurent Schüpbach, Tatjana Aue

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Unveiling the neural underpinnings of optimism: a systematic review.Cognitive, affective & behavioral neuroscience · 2021
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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

5 authors.

Dominik Andreas MoserUniversity of Bern, Institute of Psychology, Bern 3012, Switzerland.
Mihai DricuUniversity of Bern, Institute of Psychology, Bern 3012, Switzerland.
Roland WiestInstitute of Diagnostic and Interventional Neuroradiology, Bern 3010, Switzerland.
Laurent SchüpbachUniversity of Bern, Institute of Psychology, Bern 3012, Switzerland.
Tatjana AueUniversity of Bern, Institute of Psychology, Bern 3012, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimism biases denote the tendency to see future desirable events as being more likely to happen to oneself than undesirable events. Such biases are important for mental health and may extend to other individuals or social groups (social optimism biases). However, little is known about whether social optimism biases relate to brain structure. Using sparse canonical correlation analysis, we associated cortical thickness (assessed by magnetic resonance imaging) with measures of social and personal optimism bias, trait optimism and related concepts. We identified a defensive self-enhancement dimension that associated significantly and reliably with the cortical thickness of the insula and inferior frontal cortex. This self-enhancement dimension included unfavorable biases toward unpopular out-groups and indicators of personal optimism and pessimism. A shared biological substrate underlying future expectancies that subserves the promotion of the self and the denigration of unpopular out-groups may render society-wide efforts to counteract stereotyping particularly difficult: such efforts may hinder the establishment of adaptive personal optimism biases.

Indexed as

Brain Cortical ThicknessStereotypingAdultCerebral CortexFemaleHumansMagnetic Resonance ImagingMaleOptimismPsychological DistanceYoung Adultcortical thicknessgray matterMRIsocial optimism biasstereotyping

Identifiers

PMID32685967
PMCPMC7511889

What OpenQuestion holds

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Registered trials

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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.