@article{581,
  keywords = {brain-to-brain coupling, fMRI, multibrain neural dynamics, Narratives, Naturalistic stimuli},
  author = {Claire Chang and Samuel Nastase and Asieh Zadbood and Uri Hasson},
  title = {How a speaker herds the audience: multibrain neural convergence over time during naturalistic storytelling.},
  abstract = {<p>Storytelling-an ancient way for humans to share individual experiences with others-has been found to induce neural alignment among listeners. In exploring the dynamic fluctuations in listener-listener (LL) coupling throughout stories, we uncover a significant correlation between LL coupling and lagged speaker-listener (lag-SL) coupling over time. Using the analogy of neural pattern (dis)similarity as distances between participants, we term this phenomenon the "herding effect." Like a shepherd guiding a group of sheep, the more closely listeners mirror the speaker{\textquoteright}s preceding brain activity patterns (higher lag-SL similarity), the more tightly they cluster (higher LL similarity). This herding effect is particularly pronounced in brain regions where neural alignment among listeners tracks with moment-by-moment behavioral ratings of narrative content engagement. By integrating LL and SL neural coupling, this study reveals a dynamic, multibrain functional network between the speaker and the audience, with the unfolding narrative content playing a mediating role in network configuration.</p>},
  year = {2024},
  journal = {Social cognitive and affective neuroscience},
  volume = {19},
  month = {09/2024},
  issn = {1749-5024},
  doi = {10.1093/scan/nsae059},
  language = {eng},
}