{"title":"Neural mechanisms of physical and social pain empathy: an activation likelihood estimation meta-analysis of fMRI studies.","authors":"Peng Zhang, Lin Ding, Mingliang Wang, Shuyi Qiu","doi":"10.1093/cercor/bhaf227","DOIUrl":null,"url":null,"abstract":"<p><p>This study employed a systematic meta-analysis to elucidate neural representation differences between empathy for physical and social pain. Addressing the critical unresolved question of neurofunctional similarities and distinctions between these two empathy types, we performed an activation likelihood estimation coordinate-based meta-analysis, quantitatively synthesizing 35 functional MRI studies. Key findings revealed the following: (i) Physical pain empathy demonstrated significant left-lateralized activation patterns involving core regions of the mirror neuron system-including emotional resonance (anterior cingulate cortex, prefrontal cortex), affective-cognitive integration (anterior insula), and action comprehension (inferior frontal gyrus, inferior parietal lobule); (ii) social pain empathy selectively activated the mentalizing network (dorsomedial prefrontal cortex/medial prefrontal cortex); (iii) differential analyses identified the inferior parietal lobule, anterior cingulate cortex, and superior frontal gyrus as core discriminative regions, with no shared activated brain areas detected. These findings provide large-scale evidence supporting functional segregation in neural substrates between empathy subtypes, offering critical neuroimaging evidence for multidimensional models of empathy.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"35 8","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerebral cortex","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/cercor/bhaf227","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This study employed a systematic meta-analysis to elucidate neural representation differences between empathy for physical and social pain. Addressing the critical unresolved question of neurofunctional similarities and distinctions between these two empathy types, we performed an activation likelihood estimation coordinate-based meta-analysis, quantitatively synthesizing 35 functional MRI studies. Key findings revealed the following: (i) Physical pain empathy demonstrated significant left-lateralized activation patterns involving core regions of the mirror neuron system-including emotional resonance (anterior cingulate cortex, prefrontal cortex), affective-cognitive integration (anterior insula), and action comprehension (inferior frontal gyrus, inferior parietal lobule); (ii) social pain empathy selectively activated the mentalizing network (dorsomedial prefrontal cortex/medial prefrontal cortex); (iii) differential analyses identified the inferior parietal lobule, anterior cingulate cortex, and superior frontal gyrus as core discriminative regions, with no shared activated brain areas detected. These findings provide large-scale evidence supporting functional segregation in neural substrates between empathy subtypes, offering critical neuroimaging evidence for multidimensional models of empathy.
期刊介绍:
Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included.
The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.