
NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121087 - 121087
Published: Feb. 1, 2025
A fundamental characteristic of social exchanges is the synchronization individuals' behaviors, physiological responses, and neural activity. However, association between how individuals communicate in terms emotional content expressed associative knowledge interpersonal synchrony has been scarcely investigated so far. This study addresses this research gap by bridging recent advances cognitive neuroscience data, affective computing, data science frameworks. Using functional near-infrared spectroscopy (fNIRS) hyperscanning, prefrontal were collected during interactions involving 84 participants (i.e., 42 dyads) aged 18-35 years. Wavelet transform coherence was used to assess participants. We manual transcription dialogues automated methods codify transcriptions as levels syntactic/semantic networks. Our quantitative findings reveal higher than random expectations superior frontal gyrus (q = .038) bilateral middle gyri (q< .001, q< .001). Linear mixed models based on dialogues' only significantly predicted across cortex (Rmarginal2=3.62%). Conversely, relying features more effective at local level, for predicting brain right (Rmarginal2=9.97%). Generally, not when limited from one region interest a time, whereas show opposite trend, losing predictive power incorporating all regions interest. Moreover, we found an interplay emotions synchrony, providing support major role played these linguistic components processes. identifies mind-brain duality reflecting levels, opening new ways investigating human interactions.
Language: Английский