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Related Concept Videos

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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Related Experiment Video

Updated: Jul 7, 2026

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging
11:57

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

Published on: February 24, 2021

Functional coactivation map of the human brain.

Roberto Toro1, Peter T Fox, Tomás Paus

  • 1Brain & Body Centre, University of Nottingham, Nottingham NG7 2RD, United Kingdom. rto@psychology.nottingham.ac.uk

Cerebral Cortex (New York, N.Y. : 1991)
|February 26, 2008
PubMed
Summary

Researchers mapped human brain functional connections using a meta-analysis of 825 neuroimaging studies. This comprehensive map reveals key brain networks and principles of functional connectivity.

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Last Updated: Jul 7, 2026

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Understanding brain function relies on mapping interactions between brain regions.
  • Existing connectivity maps are limited in scope or derived from fewer studies.

Purpose of the Study:

  • To create a comprehensive map of functional connections in the human brain.
  • To identify fundamental principles and key networks of brain connectivity.

Main Methods:

  • Automated meta-analysis of 825 neuroimaging articles (3402 experiments).
  • Estimation of functional connection likelihood based on interdependent regional activity across experiments.
  • Generation of a dense coactivation map.

Main Results:

  • A detailed map of functional brain connections was generated.
  • The map successfully recovered known principles like interhemispheric symmetry.
  • Key functional networks, including attention, resting-state, and motor networks, were identified.

Conclusions:

  • The study provides a robust, data-driven map of human brain functional connectivity.
  • This map serves as a valuable resource for understanding brain organization and function.
  • The meta-analysis approach offers a powerful method for synthesizing neuroimaging data.