Cortical tracking of hierarchical rhythms orchestrates the multisensory processing of biological motion
When observing others’ behaviors, we continuously integrate their movements with the corresponding sounds to enhance perception and develop adaptive responses. However, how the human brain integrates these complex audiovisual cues based on their natural temporal correspondence remains unclear. Using electroencephalogram (EEG), we demonstrated that rhythmic cortical activity tracked the hierarchical rhythmic structures in audiovisually congruent human walking movements and footstep sounds. Remarkably, the cortical tracking effects exhibit distinct multisensory integration modes at two temporal scales: an additive mode in a lower-order, narrower temporal integration window (step cycle) and a super-additive enhancement in a higher-order, broader temporal window (gait cycle). Furthermore, while neural responses at the lower-order timescale reflect a domain-general audiovisual integration process, cortical tracking at the higher-order timescale is exclusively engaged in the integration of biological motion cues. In addition, only this higher-order, domain-specific cortical tracking effect correlates with individuals’ autistic traits, highlighting its potential as a neural marker for autism spectrum disorder. These findings unveil the multifaceted mechanism whereby rhythmic cortical activity supports the multisensory integration of human motion, shedding light on how neural coding of hierarchical temporal structures orchestrates the processing of complex, natural stimuli across multiple timescales.
Authors
- Yi Jiang (ORCID: https://orcid.org/0000-0002-5746-7301)
- Ying Wang (ORCID: https://orcid.org/0000-0002-5756-2480)
- Shuo Li (ORCID: https://orcid.org/0000-0003-0877-0029)
- Yuhao Tian (ORCID: https://orcid.org/0000-0002-0334-2415)
- Li Shen (ORCID: https://orcid.org/0000-0002-6088-7892)
Institutions
- Chinese Academy of Sciences (CN)
- Czech Academy of Sciences, Institute of Psychology (CZ)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- eLife
- Published
- 2025-02-05
- DOI
- https://doi.org/10.7554/elife.98701.5
- Primary Topic
- Neural dynamics and brain function
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China
- China Postdoctoral Science Foundation
- Youth Innovation Promotion Association of the Chinese Academy of Sciences
- Fundamental Research Funds for the Central Universities