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Cited by 262

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Empathy versus Personal Distress: Recent Evidence from Social Neuroscience

Decety, Jean, Lamm, Claus·2009·The Social Neuroscience of Empathy

Abstract

This chapter examines empathy as a construct, with an emphasis on a sense of similarity in feelings experienced by the self and the other. It explains how confusion between self and other can turn empathy into sympathy or even personal distress. It reviews the results of recent social neuroscience research that investigated the behavioral and neural responses of people to the pain of others. These studies show that a person who perceives another individual in pain results in the activation of the former’s neural network involved in the processing of firsthand experience of pain. The chapter also looks at the neural circuits responsible for a person’s ability to perceive the pain of others in the context of the shared-representation theory of social cognition. In addition, it discusses perspective taking and the ability to differentiate the self from the other.

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Crossref · 10.7551/mitpress/9780262012973.003.0016

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Metadata

Authors
Decety, J., & Lamm, C.
Venue
The Social Neuroscience of Empathy
Publisher
The MIT Press
Published
2009-03-20
Pages
199-214
OpenAlex
W2340112924
Cited by
262
References
12
FWCI
17.01
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: Empathy versus Personal Distress: Recent Evidence from Social Neuroscience. https://app.cochat.ai/papers/10.7551/mitpress/9780262012973.003.0016
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Decety, J., & Lamm, C. (2009). Empathy versus Personal Distress: Recent Evidence from Social Neuroscience. The Social Neuroscience of Empathy. https://doi.org/10.7551/mitpress/9780262012973.003.0016

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.