A1 Refereed original research article in a scientific journal
Decoding brain basis of laughter and crying in natural scenes
Authors: Nummenmaa Lauri, Malèn Tuulia, Nazari-Farsani Sanaz, Seppälä Kerttu, Sun Lihua, Santavirta Severi, Karlsson Henry K, Hudson Matthew, Hirvonen Jussi, Sams Mikko, Scott Sophie, Putkinen Vesa
Publisher: Elsevier BV
Publication year: 2023
Journal: NeuroImage
Journal name in source: NeuroImage
Journal acronym: Neuroimage
Article number: 120082
Volume: 273
ISSN: 1053-8119
eISSN: 1095-9572
DOI: https://doi.org/10.1016/j.neuroimage.2023.120082(external)
Web address : https://doi.org/10.1016/j.neuroimage.2023.120082(external)
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/179540742(external)
Laughter and crying are universal signals of prosociality and distress, respectively. Here we investigated the functional brain basis of perceiving laughter and crying using naturalistic functional magnetic resonance imaging (fMRI) approach. We measured haemodynamic brain activity evoked by laughter and crying in three experiments with 100 subjects in each. The subjects i) viewed a 20-minute medley of short video clips, and ii) 30 min of a full-length feature film, and iii) listened to 13.5 min of a radio play that all contained bursts of laughter and crying. Intensity of laughing and crying in the videos and radio play was annotated by independent observes, and the resulting time series were used to predict hemodynamic activity to laughter and crying episodes. Multivariate pattern analysis (MVPA) was used to test for regional selectivity in laughter and crying evoked activations. Laughter induced widespread activity in ventral visual cortex and superior and middle temporal and motor cortices. Crying activated thalamus, cingulate cortex along the anterior-posterior axis, insula and orbitofrontal cortex. Both laughter and crying could be decoded accurately (66-77% depending on the experiment) from the BOLD signal, and the voxels contributing most significantly to classification were in superior temporal cortex. These results suggest that perceiving laughter and crying engage distinct neural networks, whose activity suppresses each other to manage appropriate behavioral responses to others' bonding and distress signals.
Downloadable publication This is an electronic reprint of the original article. |  |
