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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Controllability of structural brain networks.

Shi Gu1,2, Fabio Pasqualetti3, Matthew Cieslak4

  • 1Department of Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.

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|October 2, 2015
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Summary
This summary is machine-generated.

Brain network organization dictates cognitive states. Densely connected regions enable easy state transitions, while weakly connected regions facilitate difficult transitions, revealing principles of brain network control.

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Area of Science:

  • Neuroscience
  • Network Science
  • Control Theory

Background:

  • Cognitive functions rely on dynamic interactions within large-scale neural networks.
  • The fundamental principles governing these dynamic network processes remain largely unknown.
  • Understanding brain network dynamics is crucial for explaining cognitive flexibility.

Purpose of the Study:

  • To provide a mechanistic explanation for how the brain transitions between cognitive states.
  • To elucidate the role of white matter microstructure's network organization in controlling brain dynamics.
  • To identify how different network structures influence the accessibility of cognitive states.

Main Methods:

  • Utilized control theory and network science tools.
  • Analyzed the network organization of white matter microstructure.
  • Mapped brain regions to their network properties and community structures.

Main Results:

  • Densely connected areas (e.g., default mode network) facilitate movement to easily reachable cognitive states.
  • Weakly connected areas (e.g., cognitive control networks) facilitate movement to difficult-to-reach states.
  • Boundary areas (e.g., attentional control systems) aid in integrating or segregating cognitive systems.

Conclusions:

  • Structural network properties of white matter microstructure mechanistically explain brain state transitions.
  • Distinct roles of brain regions in controlling cognitive trajectories are dictated by their network organization.
  • This framework offers insights into the neural basis of cognitive flexibility and control.