Linking Structure and Function in Macroscale Brain Networks.

By Laura E. Suárez, Ross D. Markello, Richard F. Betzel, Bratislav Misic. Trends in Cognitive Sciences, 2020

710 citations recorded by the source corpus.

Structure-function relationships are a fundamental principle of many naturally occurring systems. However, network neuroscience research suggests that there is an imperfect link between structural connectivity and functional connectivity in the brain. Here, we synthesize the current state of knowledge linking structure and function in macroscale brain networks and discuss the different types of models used to assess this relationship. We argue that current models do not include the requisite biological detail to completely predict function. Structural network reconstructions enriched with local molecular and cellular metadata, in concert with more nuanced representations of functions and properties, hold great potential for a truly multiscale understanding of the structure-function relationship.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/93dbc4cec621bcd0d9b85d01200101649a0b4a02

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

  1. Ross D. Markello
  2. J. Hansen
  3. Alain Dagher
  4. R. Nathan Spreng
  5. Bratislav Misic
  6. Sylvain Baillet
  7. James M. Shine
  8. G. Shafiei

In Radiology, Nuclear Medicine and Imaging

  1. Ross D. Markello
  2. J. Hansen
  3. R. Nathan Spreng
  4. Bratislav Misic
  5. Sylvain Baillet
  6. James M. Shine
  7. G. Shafiei

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