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Development of the brain network control theory and its implications.

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Area of Science:

  • Neuroscience
  • Systems Engineering
  • Cybernetics

Background:

  • Brain network control theory (NCT) applies engineering and cybernetics to neuroscience.
  • NCT offers a framework for understanding and manipulating complex brain dynamics.

Purpose of the Study:

  • To review the development and applications of NCT over the last decade.
  • To highlight NCT's role in modeling brain dynamics and its insights into various neurological and psychiatric conditions.

Main Methods:

  • Review of literature on brain network control theory.
  • Examination of the nctpy package for practical implementation.
  • Analysis of challenges and future directions in NCT.

Main Results:

  • NCT has been effectively used to model brain dynamics.
  • Applications include cognitive control, brain development, and understanding neurological/psychiatric disorders.
  • The nctpy package facilitates NCT implementation.

Conclusions:

  • NCT provides valuable insights into brain function and dysfunction.
  • Further empirical validation and biological grounding are needed.
  • Future directions focus on advancing NCT development and applications.