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RE: Warnings and caveats in brain controllability.

Fabio Pasqualetti1, Shi Gu2, Danielle S Bassett3

  • 1Department of Mechanical Engineering, University of California at Riverside, USA.

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Network control theory reveals human brain networks are controllable from single regions. This analysis supports distinct controllability properties in brain networks compared to random models.

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Area of Science:

  • Neuroscience
  • Network Science
  • Systems Biology

Background:

  • Network control theory offers insights into human brain white matter organization.
  • This approach has potential for understanding cognition and developing neurological treatments.
  • Previous work (Gu et al., 2015) suggested brain networks are controllable from single regions.

Purpose of the Study:

  • To provide theoretical arguments supporting the controllability of human brain networks.
  • To challenge the findings and methodologies of Tu et al. (2018) regarding brain network control.
  • To establish that human brain networks possess unique controllability properties.

Main Methods:

  • Theoretical analysis using network control theory principles.
  • Comparison of human brain network controllability with random network models.
  • Evaluation of control energy requirements for brain network manipulation.

Main Results:

  • Human brain networks are demonstrably controllable from single regions.
  • Significant control energy is required to influence brain network states.
  • Brain networks exhibit distinct controllability profiles compared to random networks.

Conclusions:

  • The controllability of human brain networks from single regions is theoretically supported.
  • Human brain networks possess unique controllability characteristics.
  • The findings reinforce the utility of network control theory in neuroscience.