Evidence map›Paper›PMID 42570035›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2026

Moral emotion processing in euthymic bipolar disorder: insights from network analysis.

Marialaura Lussignoli, Giulia Cattarinussi, Alessandro Miola, Nicolò Trevisan, Silvia Valeggia, Renzo Manara, Fabio Sambataro

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Article in European archives of psychiatry and clinical neuroscience, 2026. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Marialaura LussignoliDepartment of Neuroscience (DNS), University of Padova, Via Giustiniani, 2, 35128, Padua, Italy.
Giulia CattarinussiDepartment of Neuroscience (DNS), University of Padova, Via Giustiniani, 2, 35128, Padua, Italy.
Alessandro MiolaDepartment of Neuroscience (DNS), University of Padova, Via Giustiniani, 2, 35128, Padua, Italy.
Nicolò TrevisanDepartment of Neuroscience (DNS), University of Padova, Via Giustiniani, 2, 35128, Padua, Italy.
Silvia ValeggiaDepartment of Neuroscience (DNS), University of Padova, Via Giustiniani, 2, 35128, Padua, Italy.
Renzo ManaraDepartment of Neuroscience (DNS), University of Padova, Via Giustiniani, 2, 35128, Padua, Italy.
Fabio SambataroDepartment of Neuroscience (DNS), University of Padova, Via Giustiniani, 2, 35128, Padua, Italy. Fabio.sambataro@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBipolar disorder (BD) is associated with facial emotion recognition (FER) deficits. Among these, impairments in recognizing moral emotions may be especially relevant to social dysfunction, but their relationship with brain structure remains poorly defined.

methodsIn this cross-sectional case-control study, 48 euthymic adults with BD (BD-I, n = 20; BD-II, n = 28) and 45 sex- and age-matched healthy controls completed a computerized FER task and 3T T1-weighted MRI scan. FER efficiency (accuracy/response time) for facial moral (anger and disgust) emotion expressions and gray-matter volume (GMV) from 9 bilateral a priori fronto-limbic/salience regions were compared between groups. Group-specific psychometric networks (regularized partial-correlation, i.e. Gaussian graphical models; LASSO/EBIC) integrating FER and GMV nodes were estimated and compared using the Network Comparison Test.

resultsRelative to BD-II and controls, BD-I showed lower FER efficiency, with poorer decoding of moral but not neutral facial expressions. Network structure differed between BD-II and controls, whereas global network strength was comparable across all pairwise group comparisons. Exploratory centrality analyses suggested a more frontally weighted configuration in BD-I, with the superior frontal gyrus among the more central nodes.

conclusionIn BD-I, persistently reduced ability to decode morally salient facial cues co-occurred with subtype-related differences in fronto-limbic structural covariance.

Indexed as

Bipolar DisorderEmotionsFacial ExpressionFacial RecognitionMoralsNerve NetSocial PerceptionAdultCase-Control StudiesCross-Sectional StudiesFemaleGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedAngerBipolar disorderDisgustFacial emotion recognitionGray matter volumeNetwork analysis

Identifiers

PMID42570035
PMCPMC13562291

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.