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Distinct distributed brain networks dissociate self-generated mental states.

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Summary
This summary is machine-generated.

Human cognition uses sensory input or self-generated content. Brain imaging reveals distinct networks for imagining scenes (default network) and speech (language network), highlighting transmodal association areas.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Brain Imaging

Background:

  • Human cognition operates in perceptually-coupled and perceptually-decoupled modes.
  • Imagined states involve sensory cortex reinstatement and default network activity.
  • Transmodal systems are implicated in mind-wandering, recollection, and future imagination.

Purpose of the Study:

  • Identify brain systems supporting self-generated mental states.
  • Investigate neural correlates of imagining visual scenes versus speech.
  • Differentiate roles of unimodal sensory and transmodal association networks in cognition.

Main Methods:

  • Precision functional magnetic resonance imaging (fMRI) in human participants.
  • Multi-dimensional experience sampling to characterize subjective mental states.
  • Analysis of brain activity during imagined scenarios (scenes and speech).

Main Results:

  • Imagining scenes activated regions near the default network.
  • Imagining speech activated regions near the language network.
  • Overlap between imagining and perceiving was mainly in transmodal association networks, not unimodal sensory areas.

Conclusions:

  • Distinct association networks support visually and auditorily vivid imagined states.
  • Transmodal networks, rather than direct sensory reinstatement, primarily support complex mental imagery.
  • Findings elucidate the neural basis of internally generated mental content.