Ballroom dance is an art form of body-to-body communication. Professional dancers may share feelings and thoughts about dancing, especially with their partners. To measure the neural similarity of dancers, a novel statistical approach called Intersubject Correlation (ISC) could be used. In addition, intersubject representational analysis (ISRSA), which is an extension of ISC, would be helpful to investigate the correlation between neural similarity and behavioral similarity.
Led by Dr. HU Li and Dr. KONG Yazhuo from the Institute of Psychology of the Chinese Academy of Sciences, a research team found brain mechanism evidence that neural similarity would be promoted by long-term ballroom dance training.
In this exploratory study, 41 professional ballroom dancers and 39 age- and gender-matched controls were recruited from the Beijing Sport University. During the experiment, training information was collected from the dancers. High-resolution functional magnetic resonance imaging (MRI) and structural MRI images were also collected. Participants watched four dance videos and four neutural videos in the same order. Video ratings (whether seen before, familiarity, and liking) were also collected after each video.
Results showed that ISC was higher for dancers watching dance videos than for controls and natural videos. Enhanced neural synchrony was mainly observed in the inferior frontal gyrus, precentral and postcentral gyrus, and inferior parietal lobule.
In addition, correlations between ISC values and dancer information were found, e.g., years of cooperation between partners were positively correlated with their ISC in the left globus pallidus.
Furthermore, ISRSA showed a significant correlation between video impression and ISC, e.g., familiarity similarity positively correlated with ISC in the hippocampus and parahippocampus.
This study discovers the close relationship between long-term ballroom dancing and neural similarity and explored its underlying brain mechanisms. Neural similarity may provide a neural indicator to define an optimal cooperative partner in the future.
This work was published in Neuroimage on Aug. 1, and was funded by the Beijing Natural Science Foundation and the National Natural Science Foundation of China.
