Evidence map›Paper›PMID 38298008›Full record

ArticleClinical EEG and neuroscience2024

An ERP Study of Face Processing in Schizophrenia, Bipolar Disorder, and Socially Isolated Individuals from the Community.

Lauren T Catalano, Jonathan K Wynn, Naomi I Eisenberger, William P Horan, Junghee Lee, Amanda McCleery, David J Miklowitz, Eric A Reavis, L Felice Reddy, Michael F Green

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical EEG and 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Lauren T CatalanoVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA.ORCID 0000-0001-7209-9175
Jonathan K WynnVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA.ORCID 0000-0002-1763-8540
Naomi I EisenbergerDepartment of Psychology, University of California Los Angeles, Los Angeles, CA, USA.
William P HoranDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA.
Junghee LeeDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Amanda McCleeryDepartment of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, USA.
David J MiklowitzDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA.
Eric A ReavisVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
L Felice ReddyVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Michael F GreenVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA.

Funding

The Determinants of Social Disconnectedness: A Spectrum from the General Community to Severe Mental IllnessR01MH110470 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GREEN, MICHAEL F. · 2016 to 2020
$2.6M
Approaches to Studying Social Motivation in SchizophreniaIK2CX002202 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI Lauren Theresa Catalano · 2021 to 2026
–
CSRD VA IK2 CX002202NIMH NIH HHS R01 MH110470
6 · The paper itself

Abstract

People with schizophrenia (SCZ) and bipolar disorder (BD) have impairments in processing social information, including faces. The neural correlates of face processing are widely studied with the N170 ERP component. However, it is unclear whether N170 deficits reflect neural abnormalities associated with these clinical conditions or differences in social environments. The goal of this study was to determine whether N170 deficits would still be present in SCZ and BD when compared with socially isolated community members. Participants included 66 people with SCZ, 37 with BD, and 125 community members (76 "Community-Isolated"; 49 "Community-Connected"). Electroencephalography was recorded during a face processing task in which participants identified the gender of a face, the emotion of a face (angry, happy, neutral), or the number of stories in a building. We examined group differences in the N170 face effect (greater amplitudes for faces vs buildings) and the N170 emotion effect (greater amplitudes for emotional vs neutral expressions). Groups significantly differed in levels of social isolation (Community-Isolated > SCZ > BD = Community-Connected). SCZ participants had significantly reduced N170 amplitudes to faces compared with both community groups, which did not differ from each other. The BD group was intermediate and did not differ from any group. There were no significant group differences in the processing of specific emotional facial expressions. The N170 is abnormal in SCZ even when compared to socially isolated community members. Hence, the N170 seems to reflect a social processing impairment in SCZ that is separate from level of social isolation.

Indexed as

Bipolar DisorderElectroencephalographyEvoked PotentialsFacial ExpressionSchizophreniaSocial IsolationAdultEmotionsFacial RecognitionFemaleHumansMaleMiddle Agedbipolar disorderface perceptionface processingN170schizophreniasocial isolation

Identifiers

PMID38298008
PMCPMC11693041

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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.