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The Functional Connectome of Speech Control.

Stefan Fuertinger1, Barry Horwitz2, Kristina Simonyan3

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Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Network Science

Background:

  • Previous neuroimaging studies mapped isolated speech functions.
  • The complex brain network for speech and language remained largely unknown.
  • Understanding speech network topology is crucial for cognitive neuroscience.

Purpose of the Study:

  • To quantify the large-scale speech network topology using graph theory.
  • To investigate the functional brain networks from resting state to complex speech production.
  • To compare speech networks with non-speech tasks like finger tapping and tone discrimination.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) data from healthy subjects.
  • Graph theoretical analysis to construct functional brain networks.
  • Comparison of network topology across resting state, syllable production, speech production, finger tapping, and tone discrimination.

Main Results:

  • A core hub network in sensorimotor and parietal regions was identified across conditions, with left area 4p being crucial for speech.
  • Sensorimotor hubs demonstrated flexible connectivity, adapting to task demands and creating distinct network structures.
  • Speech production involved six distinct communities, recruiting prefrontal cortex, insula, putamen, and thalamus, forming the speech connectome.
  • Primary sensorimotor cortex showed operational heterogeneity, challenging unimodality concepts.

Conclusions:

  • The brain's speech network is a complex, adaptable system with a core hub structure.
  • Flexible hubs in the sensorimotor cortex are key to speech network organization and function.
  • This research provides novel insights into the neural basis of speech production and its network dynamics.