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Related Experiment Video

Updated: Oct 21, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

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The dynamic connectome of speech control.

Davide Valeriani1,2, Kristina Simonyan1,2,3

  • 1Department of Otolaryngology - Head and Neck Surgery, Massachusetts Eye and Ear, 243 Charles Street, Boston, MA 02114, USA.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|September 6, 2021
PubMed
Summary

Brain networks dynamically reorganize for speech and syllable production. Complex speech involves widespread parietal-led networks, while simple syllables use efficient sensorimotor-cerebellar circuits.

Keywords:
brain networkseffective connectivityspeech

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Computational Neuroscience

Background:

  • Understanding the brain's neural network control of speech production is crucial.
  • The specific directional influences within these complex networks are not well understood.

Purpose of the Study:

  • To investigate the whole-brain directed (effective) connectivity during speech and syllable production.
  • To identify how neural network architecture differs based on task complexity.

Main Methods:

  • Used regression dynamic causal modeling (rDCM) on functional magnetic resonance imaging (fMRI) data.
  • Analyzed brain activity in 36 healthy individuals during meaningful sentence and meaningless syllable production.

Main Results:

  • Identified distinct dynamic connectomes for speech and syllable production.
  • Speech production involved widespread networks centered in parietal areas, influencing sensorimotor, prefrontal, temporal, and insular regions.
  • Syllable production utilized a compressed, cost-efficient network integrating sensorimotor cortico-subcortical pathways via parietal and cerebellar hubs.

Conclusions:

  • Neural networks dynamically reorganize connectivity based on task demands, from simple vocal motor output to complex speech processing.
  • Parietal and cerebellar regions play key roles as hubs in distinct network architectures for speech and syllable production.