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Related Concept Videos

Empathy02:34

Empathy

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Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
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Related Experiment Video

Updated: Dec 27, 2025

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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Predicting Empathy From Resting State Brain Connectivity: A Multivariate Approach.

Leonardo Christov-Moore1,2,3,4,5, Nicco Reggente6, Pamela K Douglas2,3,4

  • 1Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, CA, United States.

Frontiers in Integrative Neuroscience
|March 3, 2020
PubMed
Summary
This summary is machine-generated.

Resting-state brain connectivity patterns in resonance and control networks predict trait empathic concern. This discovery allows for assessing empathic predispositions without traditional empathy tasks.

Keywords:
connectivityempathic concernempathyexperience sharingfMRImachine learningmirroringresting state

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Social Neuroscience

Background:

  • Individual differences in trait empathy are linked to brain network connectivity.
  • Previous research focused on task-based fMRI, leaving resting-state connectivity unexplored.

Purpose of the Study:

  • To investigate if resting-state fMRI connectivity patterns predict trait empathic concern.
  • To determine if stable neural signatures of empathy exist outside of explicit tasks.

Main Methods:

  • Utilized machine learning to analyze resting-state fMRI data from 58 participants.
  • Examined connectivity patterns within and between self-other resonance, top-down control, and somatomotor networks.

Main Results:

  • Resting-state connectivity in resonance and control networks significantly predicted trait empathic concern.
  • Connectivity within the somatomotor network also emerged as a predictor of empathic concern.
  • Findings suggest stable neural correlates of empathy are present during rest.

Conclusions:

  • Resting-state fMRI connectivity provides a viable method for assessing empathic predispositions.
  • Highlights the importance of resonance-control network interactions and somatomotor function in empathy.
  • Offers a non-invasive approach to understanding individual differences in empathic concern.