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Understanding neural flexibility from a multifaceted definition.

Dazhi Yin1, Marcus Kaiser2

  • 1Key Laboratory of Brain Functional Genomics (Ministry of Education and Shanghai), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China.

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|April 9, 2021
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Summary
This summary is machine-generated.

This study proposes a new, multifaceted definition of neural flexibility, considering cognitive engagement, connectivity, and dynamic brain activity. This approach aims to unify understanding of intrinsic and task-driven brain functions for a more complete picture of brain flexibility.

Keywords:
Brain dynamicsBrain functionFlexible regionsHubsNeural flexibilityProbabilistic view

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Human intelligence is characterized by flexibility.
  • Current neural flexibility measurements are limited, often focusing on isolated brain regions or activity types.
  • Existing definitions fail to capture the complexity of neural processing beyond intrinsic/task-driven states.

Purpose of the Study:

  • To propose a multifaceted definition of neural flexibility.
  • To integrate intrinsic and task-evoked brain activity within a unified framework.
  • To advance the understanding of brain flexibility and its measurement.

Main Methods:

  • Reviewing computational approaches for assessing neural flexibility.
  • Defining key features: broad cognitive engagement, distributed connectivity, and adaptive connectome dynamics.
  • Suggesting metrics for regional flexibility ratings and presenting a probabilistic view of brain function.

Main Results:

  • A novel, multifaceted definition of neural flexibility is presented.
  • Computational approaches, their relevance, and limitations are critically examined.
  • Proposed metrics offer a way to quantify regional flexibility.

Conclusions:

  • The proposed definition offers a more comprehensive understanding of neural flexibility.
  • This framework can bridge the gap between intrinsic and task-driven brain dynamics.
  • Future research directions for neural flexibility are highlighted.