Neurocognitive networks: findings, models, and theory

Area of Science:

• Cognitive Neuroscience
• Systems Neuroscience
• Neurobiology

Background:

• Early cognitive neuroscience favored modular theories, mapping functions to specific brain regions.
• Recent evidence indicates a paradigm shift towards distributed brain networks.
• A consensus is emerging on the importance of large-scale neurocognitive networks.

Purpose of the Study:

• To review presentations from the Neurocognitive Networks 2010 conference.
• To discuss the paradigm of neurocognitive networks in cognitive neuroscience.
• To compile emergent themes and future research directions in network neuroscience.

Main Methods:

• Review of presentations from the NCN 2010 conference.
• Synthesis of key themes and discussions from leading investigators.
• Analysis of the shift from modular to network theories in cognitive brain function.

Main Results:

• The conference highlighted a growing consensus on neurocognitive networks.
• Evidence supports cognition arising from integrated activity of distributed brain networks.
• Key themes included the nature and function of large-scale brain networks.

Conclusions:

• The field of cognitive neuroscience is increasingly adopting a network-centric approach.
• Future research should focus on understanding the dynamics and integration within neurocognitive networks.
• The shift towards network theories represents a fundamental change in understanding brain function.