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Cortical tracking of hierarchical rhythms orchestrates the multisensory processing of biological motion.

Li Shen | Shuo Li | Yuhao Tian | Ying Wang | Yi Jiang
eLife | 2025

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.

Pubmed ID: 39907560

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Associated grants

  • Agency: Ministry of Science and Technology of the People's Republic of China,
    Id: 2021ZD0204200
  • Agency: Ministry of Science and Technology of the People's Republic of China,
    Id: 2021ZD0203800
  • Agency: National Natural Science Foundation of China,
    Id: 32171059
  • Agency: National Natural Science Foundation of China,
    Id: 32430043
  • Agency: China Postdoctoral Science Foundation,
    Id: 2024M170993
  • Agency: China Postdoctoral Science Foundation,
    Id: 2024M753476
  • Agency: The Key Research and Development Program of Guangdong, China,
    Id: 2023B0303010004
  • Agency: Interdisciplinary Innovation Team of the Chinese Academy of Sciences,
    Id: JCTD-2021-06

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FieldTrip (tool)

RRID:SCR_004849

Software tool for analysis of MEG, EEG, and other electrophysiological data. Used by experimental neuroscientists.

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