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Related Experiment Video

Updated: Jun 12, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Large-scale brain networks in cognition: emerging methods and principles.

Steven L Bressler¹, Vinod Menon

¹Center for Complex Systems and Brain Sciences, Department of Psychology, Florida Atlantic University, Boca Raton, FL, USA. bressler@fau.edu

Trends in Cognitive Sciences

|May 25, 2010

Summary

Cognition arises from dynamic interactions within large-scale brain networks, not isolated areas. This network perspective offers a new framework for understanding the human brain and cognitive functions.

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Area of Science:

Neuroscience
Cognitive Science

Background:

Historically, cognitive functions were attributed to isolated brain regions.
Emerging evidence suggests a shift towards understanding cognition through network interactions.

Purpose of the Study:

To review current research on brain organization.
To argue for a network-based framework for understanding cognition.
To explore how cognitive functions emerge from and are constrained by brain networks.

Main Methods:

Review of current research on structural and functional brain organization.
Synthesis of evidence supporting large-scale brain network models.

Main Results:

The dominant view in neuroscience has shifted towards network-based cognition.
Large-scale brain networks provide a coherent framework for cognitive understanding.

Conclusions:

Understanding cognition requires knowledge of large-scale brain organization.
The science of large-scale brain networks offers a principled approach to studying cognition.
Cognitive functions are shaped by the brain's core structural and functional networks.