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Related Concept Videos

Density00:56

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Related Experiment Video

Updated: Jun 13, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

Functional connectivity density mapping.

Dardo Tomasi1, Nora D Volkow

  • 1National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA. tomasi@bnl.gov

Proceedings of the National Academy of Sciences of the United States of America
|May 12, 2010
PubMed
Summary
This summary is machine-generated.

Researchers developed a faster method to map brain hubs, identifying the posterior cingulate/ventral precuneus as the most prominent functional hub. This finding aids understanding of brain organization, development, and disorders.

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Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Published on: February 24, 2021

Area of Science:

  • Neuroscience
  • Brain Imaging
  • Network Science

Background:

  • Energy-efficient hubs in brain networks are crucial for high cognitive performance.
  • Understanding hub organization is vital for studying brain development, plasticity, and neuropsychiatric disorders.
  • Current methods for mapping brain hubs are computationally intensive, limiting comprehensive analysis.

Purpose of the Study:

  • To develop a significantly faster method for mapping the distribution of local functional connectivity density (lFCD) in the human brain.
  • To identify the most prominent functional hubs within the human brain network.
  • To investigate the consistency and variability of functional hub distribution across a large cohort.

Main Methods:

  • Development of a novel, computationally efficient method to calculate local functional connectivity density (lFCD).
  • Validation of the method using resting-state functional magnetic resonance imaging (fMRI) data from 979 subjects.
  • Analysis of lFCD distribution and its power-law scaling properties across different research sites.

Main Results:

  • The proposed method is approximately 1000 times faster than existing approaches.
  • The posterior cingulate/ventral precuneus (BA 23/31) consistently emerged as the region with the highest lFCD, indicating it as the primary functional hub.
  • High lFCD was also observed in the inferior parietal cortex (BA 18) and cuneus (BA 18).
  • Low variability in lFCD patterns (<36% across subjects, 12% within subjects) and consistent power scaling suggest a scale-free organization of brain networks.

Conclusions:

  • The developed lFCD mapping method offers a computationally efficient tool for large-scale brain network analysis.
  • The posterior cingulate/ventral precuneus is identified as a key, highly connected hub in the human brain.
  • The findings support the hypothesis of a scale-free organization in human brain networks, with implications for understanding cognitive function and neurological disorders.