Decoding brain basis of laughter and crying in natural scenes

Area of Science:

• Neuroscience
• Psychology
• Cognitive Science

Background:

• Laughter and crying are fundamental human expressions of prosociality and distress.
• Understanding the neural underpinnings of processing these emotional vocalizations is crucial for social cognition research.

Purpose of the Study:

• To investigate the functional brain basis of perceiving human laughter and crying.
• To identify distinct neural networks associated with processing laughter versus crying signals.

Main Methods:

• Employed a naturalistic functional magnetic resonance imaging (fMRI) approach with 100 subjects per experiment.
• Subjects were exposed to video clips, a feature film, and a radio play containing laughter and crying.
• Multivariate pattern analysis (MVPA) was used to decode brain activity related to laughter and crying.

Main Results:

• Laughter perception activated ventral visual, temporal, and motor cortices.
• Crying perception engaged the thalamus, cingulate cortex, insula, and orbitofrontal cortex.
• Brain activity patterns for both laughter and crying were accurately decoded from the BOLD signal, particularly in the superior temporal cortex.

Conclusions:

• Perceiving laughter and crying engages distinct, yet interacting, neural networks.
• These distinct networks likely facilitate appropriate behavioral responses to social bonding and distress cues.