Evidence map›Paper›PMID 32574806›Full record

ArticleNeuroImage2020

Visual cortical regions show sufficient test-retest reliability while salience regions are unreliable during emotional face processing.

Timothy J McDermott, Namik Kirlic, Elisabeth Akeman, James Touthang, Kelly T Cosgrove, Danielle C DeVille, Ashley N Clausen, Evan J White, Rayus Kuplicki, Robin L Aupperle

Abstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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

11 citing papers in PubMed.

  1. Trial
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  5. Topography of Emotions in Cerebellum as Appraised by Functional Imaging.Advances in experimental medicine and biology · 2022
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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

10 authors.

Timothy J McDermottLaureate Institute for Brain Research, Tulsa, OK, United States; Department of Psychology, University of Tulsa, Tulsa, OK, United States.
Namik KirlicLaureate Institute for Brain Research, Tulsa, OK, United States.
Elisabeth AkemanLaureate Institute for Brain Research, Tulsa, OK, United States.
James TouthangLaureate Institute for Brain Research, Tulsa, OK, United States.
Kelly T CosgroveLaureate Institute for Brain Research, Tulsa, OK, United States; Department of Psychology, University of Tulsa, Tulsa, OK, United States.
Danielle C DeVilleLaureate Institute for Brain Research, Tulsa, OK, United States; Department of Psychology, University of Tulsa, Tulsa, OK, United States.
Ashley N ClausenLaureate Institute for Brain Research, Tulsa, OK, United States; VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center, Durham VA Health Care System, Durham, NC, USA; Duke University Brain Imaging and Analysis Center, Durham, NC, USA.
Evan J WhiteLaureate Institute for Brain Research, Tulsa, OK, United States.
Rayus KuplickiLaureate Institute for Brain Research, Tulsa, OK, United States; Department of Community Medicine, University of Tulsa, Tulsa, OK, United States.
Robin L AupperleLaureate Institute for Brain Research, Tulsa, OK, United States; Department of Community Medicine, University of Tulsa, Tulsa, OK, United States. Electronic address: tmcdermott@laureateinstitute.org.

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI Wesley Kurt Thompson · 2017 to 2026
$23.7M
An Approach-Avoidance, Computational Framework for Predicting Behavioral Therapy Outcome in Anxiety and DepressionR01MH123691 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI AUPPERLE, ROBIN L · 2020 to 2024
$2.6M
Approach-Avoidance Conflict-a multi-level predictor for exposure therapy responseK23MH108707 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI AUPPERLE, ROBIN L · 2016 to 2020
$976k
Self-regulation of Prefrontal Cortex during Emotional Cognitive ControlF31MH122090 · NIMH · UNIVERSITY OF TULSA · PI MCDERMOTT, TIMOTHY · 2020 to 2022
$102k
The Role of Social and Neural Connectedness in Predicting Neurodevelopmental Functioning in AdolescenceF31HD103340 · NICHD · UNIVERSITY OF TULSA · PI COSGROVE, KELLY THERESA · 2020 to 2021
$90k
NICHD NIH HHS F31 HD103340NIGMS NIH HHS P20 GM121312NIMH NIH HHS F31 MH122090NIMH NIH HHS K23 MH108707NIMH NIH HHS R01 MH123691
6 · The paper itself

Abstract

Functional magnetic resonance imaging studies frequently use emotional face processing tasks to probe neural circuitry related to psychiatric disorders and treatments with an emphasis on regions within the salience network (e.g., amygdala). Findings across previous test-retest reliability studies of emotional face processing have shown high variability, potentially due to differences in data analytic approaches. The present study comprehensively examined the test-retest reliability of an emotional faces task utilizing multiple approaches to region of interest (ROI) analysis and by examining voxel-wise reliability across the entire brain for both neural activation and functional connectivity. Analyses included 42 healthy adult participants who completed an fMRI scan concurrent with an emotional faces task on two separate days with an average of 25.52 days between scans. Intraclass correlation coefficients (ICCs) were calculated for the 'FACES-SHAPES' and 'FACES' (compared to implicit baseline) contrasts across the following: anatomical ROIs identified from a publicly available brain atlas (i.e., Brainnetome), functional ROIs consisting of 5-mm spheres centered on peak voxels from a publicly available meta-analytic database (i.e., Neurosynth), and whole-brain, voxel-wise analysis. Whole-brain, voxel-wise analyses of functional connectivity were also conducted using both anatomical and functional seed ROIs. While group-averaged neural activation maps were consistent across time, only one anatomical ROI and two functional ROIs showed good or excellent individual-level reliability for neural activation. The anatomical ROI was the right medioventral fusiform gyrus for the FACES contrast (ICC ​= ​0.60). The functional ROIs were the left and the right fusiform face area (FFA) for both FACES-SHAPES and FACES (Left FFA ICCs ​= ​0.69 & 0.79; Right FFA ICCs ​= ​0.68 & 0.66). Poor reliability (ICCs ​< ​0.4) was identified for almost all other anatomical and functional ROIs, with some exceptions showing fair reliability (ICCs ​= ​0.4-0.59). Whole-brain voxel-wise analysis of neural activation identified voxels with good (ICCs ​= ​0.6-0.74) to excellent reliability (ICCs ​> ​0.75) that were primarily located in visual cortex, with several clusters in bilateral dorsal lateral prefrontal cortex (DLPFC). Whole-brain voxel-wise analyses of functional connectivity for amygdala and fusiform gyrus identified very few voxels with good to excellent reliability using both anatomical and functional seed ROIs. Exceptions included clusters in right cerebellum and right DLPFC that showed reliable connectivity with left amygdala (ICCs ​> ​0.6). In conclusion, results indicate that visual cortical regions demonstrate good reliability at the individual level for neural activation, but reliability is generally poor for salience regions often focused on within psychiatric research (e.g., amygdala). Given these findings, future clinical neuroimaging studies using emotional faces tasks to examine individual differences might instead focus on visual regions and their role in psychiatric disorders.

Indexed as

AdolescentAdultEmotionsFacial RecognitionFemaleHumansIndividualityMagnetic Resonance ImagingMaleMiddle AgedReaction TimeReproducibility of ResultsVisual CortexYoung AdultAffectConnectivityIndividual differencesIntraclass correlationReplication

Identifiers

PMID32574806
PMCPMC7875460

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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.