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Related Experiment Videos

Large-scale cortical networks and cognition

S L Bressler1

  • 1Center for Complex Systems, Florida Atlantic University, Boca Raton 33431, USA.

Brain Research. Brain Research Reviews
|March 1, 1995
PubMed
Summary
This summary is machine-generated.

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Complex cognitive functions rely on large-scale networks of interconnected brain areas, not just individual regions. Neurons across the cerebral cortex synchronize to form dynamic, functionally interdependent assemblages for parallel processing.

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • The mammalian cerebral cortex is divided into distinct cytoarchitectonic areas, posing challenges for understanding integrated cognitive functions.
  • Key questions involve how these specialized areas cooperate and if distributed neurons form functional networks.

Purpose of the Study:

  • To review evidence supporting the role of large-scale cortical networks in complex cognitive functions.
  • To explore the anatomical and functional evidence for distributed processing and synchronization.

Main Methods:

  • Review of pathway tracing studies in non-human primates to map interconnected cortical areas.
  • Analysis of neurophysiological studies on functional coactivation in primates.
  • Examination of human neuropsychological studies linking cognitive functions to distributed areas.

Related Experiment Videos

  • Evaluation of electrophysiological studies on interareal synchronization.
  • Consideration of artificial neural network models.

    • Main Results:

    • Pathway tracing reveals widely distributed, interconnected cortical networks supporting parallel processing.
    • Neurophysiological and neuropsychological studies confirm that multiple cortical areas are coactivated and essential for cognitive functions.
    • Electrophysiology demonstrates functional interdependence and synchronization between active neurons in different cortical areas.
    • Neural network models elucidate computational benefits of synchronization in large-scale networks.
    • Dynamic reorganization of network functional topology during behavior is observed.

    Conclusions:

    • Complex cognitive functions are executed by large-scale networks of interconnected cortical areas.
    • Neuronal synchronization facilitates functional interdependence and parallel processing within these networks.
    • The functional organization of cortical networks is dynamic and behavior-dependent.