Article in Social cognitive and affective neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
11 authors.
Simone P HallerEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0002-5811-7442
Joel StoddardPediatric Mental Health Institute, Children's Hospital Colorado, Department of Psychiatry & Neuroscience Program, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0003-4070-4566
Sofia I CardenasEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Kelly DombekEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Caroline MacGillivrayEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Christian Botz-ZappEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Hong N T BuiEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Caitlin M StavishEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
Katharina KircanskiEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0002-6546-5584
Matt JonesDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO 80309, USA.
Melissa A BrotmanEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0002-9859-4702
Funding
fMRI Studies Of Pediatric Mood And Anxiety DisordersZIAMH002781 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2009 to 2025
$41.5M
The Pathophysiology and Treatment Of Children With Severe Mood DysregulationZIAMH002786 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI LEIBENLUFT, ELLEN · 2009 to 2023
$34.0M
Unit on Neuroscience and Novel TherapeuticsZIAMH002969 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BROTMAN, MELISSA · 2019 to 2025
$13.8M
Neurocognitive Targets of Hostile Interpretation Bias Training to Treat IrritabilityK23MH113731 · NIMH · UNIVERSITY OF COLORADO DENVER · PI STODDARD, JOEL JOHNSON · 2017 to 2020
$764k
Intramural NIH HHS ZIA MH002781Intramural NIH HHS ZIA MH002786Intramural NIH HHS ZIA MH002969NIMH NIH HHS K23 MH113731the Intramural Research Program of the NIMH, National Institutes of Health
6 · The paper itself
Abstract
The ability to interpret face-emotion displays is critical for the development of adaptive social interactions. Using a novel variant of a computational model and fMRI data, we examined behavioral and neural associations between two metrics of face-emotion labeling (sensitivity and bias) and age in youth. Youth and adults (n = 44, M age = 20.02, s.d. = 7.44, range = 8-36) completed an explicit face-emotion labeling fMRI task including happy to angry morphed face emotions. A drift-diffusion model was applied to choice and reaction time distributions to examine sensitivity and bias in interpreting face emotions. Model fit and reliability of parameters were assessed on adult data (n = 42). Linear and quadratic slopes modeled brain activity associated with dimensions of face-emotion valence and ambiguity during interpretation. Behaviorally, age was associated with sensitivity. The bilateral anterior insula exhibited a more pronounced neural response to ambiguity with older age. Associations between sensitivity and bias metrics and activation patterns indicated that systems encoding face-emotion valence and ambiguity both contribute to the ability to discriminate face emotions. The current study provides evidence for age-related improvement in perceptual sensitivity to facial affect across adolescence and young adulthood.
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.
Differentiating neural sensitivity and bias during face-emotion processing in youth: a computational approach. · full record | OpenQuestion