Evidence map›Paper›PMID 42062432›Full record

ArticleCommunications biology2026

Time-resolved EEG decoding reveals altered neural dynamics of affective semantic evaluation in depression and suicidality.

Woojae Jeong, Aditya Kommineni, Kleanthis Avramidis, Colin McDaniel, Donald Berry, Myzelle Hughes, Thomas McGee, Elsi Kaiser, Dani Byrd, Assal Habibi and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2026. 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

5 · Who and what money

Authors and funding

18 authors.

Woojae JeongAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA. woojaeje@usc.edu.ORCID http://orcid.org/0000-0001-5415-2040
Aditya KommineniMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Kleanthis AvramidisThomas Lord Department of Computer Science, University of Southern California, Los Angeles, CA, USA.
Colin McDanielBrain and Creativity Institute, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-3880-164X
Donald BerryInformation Science Institute, University of Southern California, Marina Del Rey, CA, USA.
Myzelle HughesBrain and Creativity Institute, University of Southern California, Los Angeles, CA, USA.
Thomas McGeeDepartment of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
Elsi KaiserDepartment of Linguistics, University of Southern California, Los Angeles, CA, USA.
Dani ByrdDepartment of Linguistics, University of Southern California, Los Angeles, CA, USA.
Assal HabibiBrain and Creativity Institute, University of Southern California, Los Angeles, CA, USA.
B Rael CahnDepartment of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, USA.
Idan A BlankDepartment of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-7057-8391
Kristina LermanThomas Lord Department of Computer Science, University of Southern California, Los Angeles, CA, USA.
Dimitrios PantazisMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8246-8878
Sudarsana R KadiriMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Takfarinas MedaniMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Shrikanth NarayananMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-1052-6204
Richard M LeahyAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA.

Funding

BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG ImagingR01EB026299 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEAHY, RICHARD M · 2018 to 2025
$5.4M
United States Department of Defense | Defense Advanced Research Projects Agency (DARPA) N660012324006U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) R01EB026299
6 · The paper itself

Abstract

Depression and suicidality are associated with systematic alterations in cognitive and emotional processing, yet the spatiotemporal neural dynamics underlying these changes during affective task engagement remain poorly characterized. We investigate the time-resolved neural representations of affective semantic processing using multivariate decoding of 64-channel electroencephalography (EEG), while participants (N = 137) perform Sentence Evaluation task using emotionally salient, self-referential statements. Reliable condition-dependent neural discriminability emerges with peak decoding accuracy between 300-600 ms, a time window corresponding to affective semantic evaluation, contextual updating processes, and conflict monitoring. Relative to healthy controls, individuals with depression and suicidal ideation show earlier onset, longer duration, and greater amplitude decoding responses, along with broader cross-temporal generalization and enhanced contributions from frontocentral and parietotemporal components. These results indicate systematic group-level differences in the spatiotemporal dynamics and stability of neural representations during emotionally salient semantic evaluation, contributing to a characterization of neurocognitive processes associated with depression and suicidality.

Indexed as

DepressionElectroencephalographySemanticsSuicidal IdeationAdultEmotionsFemaleHumansMaleYoung Adult

Identifiers

PMID42062432
PMCPMC13338046

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.