Evidence map›Paper›PMID 41877945›Full record

ArticleConsortium psychiatricum2025

Neurophysiological Markers of Emotional Stimuli Processing in Schizophrenia and Schizoaffective Disorder.

Valeriy Spektor, Elena Mnatsakanyan, Ekaterina Spektor, Alexey Trushin, Anna Davydova, Alexander Shmukler

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Article in Consortium psychiatricum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchizophrenia and schizoaffective disorder significantly affect the cognitive and emotional functioning of patients. Establishing reliable neurophysiological markers as objective assessment tools can increase diagnostic accuracy and improve outcomes.

aimTo identify neurophysiological correlates of impaired facial expression perception in patients with schizophrenia and schizoaffective disorder, and to develop a diagnostic model based on these markers.

methodsThe study included 86 participants: 26 with schizophrenia, 26 with schizoaffective disorder, and 34 healthy volunteers. The study recorded electrical brain activity in response to stimuli with faces showing happy, fearful, and neutral expressions using a 128-channel electroencephalographic system. The P100, N170, P200, and P300 components were analyzed. Logistic regression and ROC analysis were used to develop a diagnostic model.

resultsWe developed a diagnostic model that differentiates patients with schizophrenia and schizoaffective disorder from healthy participants. The model achieved 73.3% sensitivity and 80% specificity.

conclusionThe findings demonstrate the diagnostic value of evoked potentials and support their application as a supplementary objective diagnostic tool.

Indexed as

differential diagnosiselectroencephalographyevoked potentialsfacial affectschizoaffective disorderschizophrenia

Identifiers

PMID41877945
PMCPMC13008029

What Socratic holds

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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 Socratic graph.