Evidence map›Paper›PMID 41603085›Full record

ArticleBrain and behavior2026

Neural Heterogeneity Underlying Behavioral Equivalence: A Dynamic Neuro-Decoding Study of Cognitive and Affective Empathy in Relation to Autism-Like Traits.

Lingyu Zhao, Yixin Jiang, Ziwei Chen, Yongning Song

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Article in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lingyu ZhaoSchool of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Yixin JiangSchool of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Ziwei ChenSchool of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Yongning SongShanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics (Ministry of Education), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.

Funding

Fundamental Research Funds for the Central Universities, Shanghai Lideshuren Humanities and Social Sciences Research Base Program 2021/2022Fundamental Research Funds for the Central Universities, Southwest University 2022Fundamental Research Funds for the Central Universities, Southwest University SWU2209326Social Sciences Research Base Program
6 · The paper itself

Abstract

purposeAlthough empathy processing varies significantly between individuals with high and low autism-like traits (ALT), the underlying neural mechanisms remain poorly understood. This study integrated behavioral measures with electroencephalography (EEG) analyses to investigate neural processing differences between high- and low-ALT groups during cognitive and affective empathy tasks.

methodWe assessed cognitive empathy (judging depicted emotions) and affective empathy (rating personal emotional resonance) in 40 participants (21 high-ALT and 19 low-ALT) using the Multifaceted Empathy Test while concurrently recording EEG data. Our analytical approach combined traditional behavioral analysis with multivariate pattern analysis and representational similarity analysis.

resultsBehaviorally, the groups showed no significant performance differences. However, their neural mechanisms diverged. During cognitive empathy, the high-ALT group exhibited inefficient early sensory processing and delayed, discontinuous neural encoding of emotion categories, suggesting reliance on late-stage compensatory processing. For affective empathy, while early automatic neural resonance was intact, the high-ALT group exhibited atypically sustained reliance on low-level sensory features and failed to form stable, integrated neural representations of emotion, unlike the low-ALT group.

conclusionThese findings reveal a pattern of "behavioral equivalence, neural heterogeneity." High-ALT individuals appear to employ distinct, compensatory neural strategies to achieve typical behavioral outcomes in empathy. This highlights the value of advanced neuro-decoding in uncovering latent processing differences underlying the ALT spectrum.

Indexed as

AffectAutistic DisorderBrainCognitionEmpathyAdolescentAdultElectroencephalographyEmotionsFemaleHumansMaleYoung Adultaffective empathyautism‐like traitscognitive empathyneural representation

Identifiers

PMID41603085
PMCPMC12848529

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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.