Evidence map›Paper›PMID 38014230›Full record

ArticleResearch square2023

Neural signatures of emotional inference and experience align during social consensus.

Marianne Reddan, Desmond Ong, Tor Wager, Sonny Mattek, Isabella Kahhale, Jamil Zaki

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Marianne ReddanStanford University.ORCID https://orcid.org/0000-0001-6537-5258
Desmond OngUniversity of Texas at Austin.
Sonny MattekUniversity of Oregon.
Isabella KahhaleUniversity of Pittsburgh.
Jamil ZakiStanford University.
Stanford University · USDartmouth College · USThe University of Texas at Austin · USUniversity of Pittsburgh · US

Funding

CTSA K12 Program at Einstein-MontefioreK12TR004411 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Deepa Rastogi · 2023 to 2026
$3.0M
Computational and brain predictors of emotion cue integrationR01MH112560 · NIMH · STANFORD UNIVERSITY · PI ZAKI, JAMIL · 2017 to 2021
$2.2M
NCATS NIH HHS K12 TR004411NIMH NIH HHS R01 MH112560
6 · The paper itself

Abstract

Humans seamlessly transform dynamic social signals into inferences about the internal states of the people around them. To understand the neural processes that sustain this transformation, we collected fMRI data from participants (N = 100) while they rated the emotional intensity of people (targets) describing significant life events. Targets rated themselves on the same scale to indicate the intended "ground truth" emotional intensity of their videos. Next, we developed two multivariate models of observer brain activity- the first predicted the "ground truth" (

Identifiers

PMID38014230
PMCPMC10680919
OpenAlexW4388759601

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.