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Related Concept Videos

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Related Experiment Video

Updated: Jun 3, 2026

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

Published on: May 27, 2020

Brain activity at rest: a multiscale hierarchical functional organization.

Gaëlle Doucet1, Mikaël Naveau, Laurent Petit

  • 1Univ. de Bordeaux, Bordeaux, France.

Journal of Neurophysiology
|March 25, 2011
PubMed
Summary
This summary is machine-generated.

This study mapped 23 resting-state networks (RNs) using fMRI, revealing two main systems: intrinsic and extrinsic processing. These networks show how spontaneous brain activity supports thought and attention.

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Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
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Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Related Experiment Videos

Last Updated: Jun 3, 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

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Spontaneous brain activity is crucial for cognitive functions.
  • Understanding resting-state networks (RNs) provides insights into brain organization.

Purpose of the Study:

  • To identify and characterize resting-state networks (RNs) from spontaneous brain activity.
  • To investigate functional connectivity and hierarchical organization of these networks.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to map spontaneous brain activity in 180 subjects.
  • Independent component analysis (ICA) identified 23 distinct resting-state networks (RNs).
  • Temporal correlation analyses assessed functional connectivity between RNs, followed by hierarchical clustering.

Main Results:

  • Two anticorrelated systems, intrinsic and extrinsic, were identified at the highest hierarchical level.
  • The intrinsic system comprises modules for spontaneous thought (M1a), information maintenance (M1b), and cognitive control (M1c).
  • The extrinsic system includes sensory/attentional (M2a) and visual (M2b) modules, with M1c mediating inter-system communication.

Conclusions:

  • Resting-state brain activity organizes into intrinsic and extrinsic systems with distinct functional roles.
  • M1b is central to intrinsic processing, while M1c acts as a bridge between intrinsic and extrinsic systems.
  • This hierarchical organization provides a framework for understanding spontaneous brain function.