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Related Experiment Video

Updated: Jun 26, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Predicting human resting-state functional connectivity from structural connectivity.

C J Honey1, O Sporns, L Cammoun

  • 1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.

Proceedings of the National Academy of Sciences of the United States of America
|February 4, 2009
PubMed
Summary
This summary is machine-generated.

Brain activity measured by functional MRI (fMRI) shows functional connectivity, which is influenced by anatomical structure. Computational models reveal that while indirect connections matter, anatomical structure constrains functional brain networks.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neuronal population activity in the cerebral cortex is dynamic.
  • Functional connectivity, measured via fMRI, describes temporal coherence between neuronal populations.
  • Previous work linked functional connectivity to structural connectivity at a broad level.

Purpose of the Study:

  • To investigate if anatomical network properties explain systems-level functional network characteristics.
  • To model macroscopic cortical dynamics using anatomical connectivity data.
  • To analyze the spatial statistics and temporal persistence of functional networks.

Main Methods:

  • Measured high-resolution resting-state functional connectivity using fMRI.
  • Measured high-resolution structural connectivity using diffusion spectrum imaging tractography.
  • Employed computational modeling with structural connectivity as input for cortical dynamics.

Main Results:

  • Observed strong functional connections without direct structural links, complicating inference.
  • Found indirect connections and distance explained variance in functional connectivity.
  • Noted variability in resting-state functional connectivity across sessions and model runs.

Conclusions:

  • Resting-state functional connectivity is variable and often lacks direct structural basis.
  • Large-scale anatomical structure constrains the strength, persistence, and spatial statistics of functional connectivity.
  • Inferring precise structural connectivity from functional connectivity alone is impractical.