Compassionate attitude towards others' suffering activates the mesolimbic neural system
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Compassion is one of the essential components which enable individuals to enter into and maintain relationships of caring. Compassion tends to motivate us to help people who are emotionally suffering. It is also known that a feeling of intrinsic reward may occur as a result of experiencing compassion for others. We conducted this study to understand the neural nature of compassion for other people's emotional state. Twenty-one healthy normal volunteers participated in this study. We used a 2 x 2 factorial design in which each subject was asked to assume a compassionate attitude or passive attitude while viewing the sad or neutral facial affective pictures during functional magnetic imaging. The main effect of a compassionate attitude was observed in the medial frontal cortex, the subgenual frontal cortex, the inferior frontal cortex and the midbrain regions. A test of the interaction between a compassionate attitude and sad facial affect revealed significant activations in the midbrain-ventral striatum/septal network region. The results of this study suggest that taking a compassionate attitude towards other people's sad expressions modulate the activities of the midbrain-ventral striatum/septal region network, which is known to play a role in the prosocial/social approach motivation and its accompanied rewarding feeling.
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Viewing sad facial expressions with a compassionate stance was observed to activate ventral striatum and VTA/SN.
“For example, viewing sad facial expressions with a compassionate stance was observed to activate ventral striatum and VTA/SN (Kim et al., 2009).”
From Differential pattern of functional brain plasticity after compassion and empathy training (2014) · cites this paper as Kim et al., 2009
These findings extend previous functional imaging findings on compassion in cross-sectional studies and one short-term intervention study from our group.
“These findings extend previous functional imaging findings on compassion in cross-sectional studies (Beauregard et al., 2009;Kim et al., 2009) and one short-term intervention study from our group (Klimecki et al., 2012).”
From Differential pattern of functional brain plasticity after compassion and empathy training (2014) · cites this paper as Kim et al., 2009
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- Authors
- Kim, J.-W., Kim, S.-E., Kim, J.-J., Jeong, B., Park, C.-H., Son, A. R., Song, J. E., & Ki, S. W.
- Affiliations
- Konyang University (KR)
- Eulji University (KR)
- Korea Advanced Institute of Science and Technology (KR)
- Corresponding author
- Kim, Ji-Woong
- Venue
- Neuropsychologia
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 47
- Issue
- 10
- Pages
- 2073-2081
- ISSN
- 0028-3932 (ISSN-L)
- OpenAlex
- W2025379212
- Cited by
- 80
- References
- 55
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 7 · 2020: 7 · 2019: 4 · 2018: 3 · 2017: 4 · 2016: 7 · 2015: 3 · 2014: 7 · 2013: 8 · 2012: 3
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Neuropsychologia (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
- Funders
- Konyang University
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Keywords
- compassion, mesolimbic system, emotional rewards, facial expression recognition, sadness, medial frontal cortex, inferior frontal cortex, prosocial behavior
- MeSH terms
- Adult, Analysis of Variance, Attitude, Brain Mapping, Emotions, Empathy, Facial Expression, Female, Humans, Image Processing, Computer-Assisted, Functional Laterality, Limbic System, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Pain Measurement, Statistics as Topic
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