Whole Brain Unity Sparks Intelligence

Researchers find that general intelligence emerges from how the brain's networks communicate and coordinate, not from a single region.

Published on Mar. 4, 2026

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Researchers at the University of Notre Dame examined how the brain is organized overall and how that organization gives rise to intelligence. They found that general intelligence is not tied to a specific brain region or function, but rather reflects how effectively the brain's networks coordinate and reorganize themselves to handle different challenges. The study supports the Network Neuroscience Theory, which views intelligence as a property of the brain as a whole, dependent on global properties like efficiency, flexibility and integration.

Why it matters

This research provides a new perspective on human intelligence, shifting the focus from localized brain regions to the large-scale organization and communication of distributed networks. It has implications for understanding brain development, aging, and injury, as well as informing the design of artificial intelligence systems that aim to match human-level flexibility and problem-solving.

The details

The researchers analyzed brain imaging and cognitive performance data from over 900 adults, finding that general intelligence arises from processing distributed across many brain networks. Successful coordination requires strong integration and long-distance communication, with regulatory hubs orchestrating activity across networks. The brain performs best when tightly connected local clusters operate efficiently while maintaining short paths to distant regions, balancing local specialization with global integration.

  • The study was published in Nature Communications in 2026.

The players

Aron Barbey

The Andrew J. McKenna Family Professor of Psychology in Notre Dame's Department of Psychology, who directed the study and the Notre Dame Human Neuroimaging Center and Decision Neuroscience Laboratory.

Ramsey Wilcox

The lead author and a Notre Dame graduate student.

University of Notre Dame

The institution where the research was conducted.

Human Connectome Project

The dataset of brain imaging and cognitive performance data from 831 adults that was analyzed in the study.

INSIGHT Study

An independent dataset of 145 adults that was also analyzed in the study, funded by the Intelligence Advanced Research Projects Activity's SHARP program.

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What they’re saying

“Neuroscience has been very successful at explaining what particular networks do, but much less successful at explaining how a single, coherent mind emerges from their interaction.”

— Aron Barbey, Andrew J. McKenna Family Professor of Psychology (Mirage News)

“We found evidence for system-wide coordination in the brain that is both robust and adaptable. This coordination does not carry out cognition itself, but determines the range of cognitive operations the system can support.”

— Ramsey Wilcox, Lead author and Notre Dame graduate student (Mirage News)

“Within this framework, the brain is modeled as a network whose behavior is constrained by global properties such as efficiency, flexibility and integration. These properties are not tied to individual tasks or brain networks, but are characteristics of the system as a whole, shaping every cognitive operation without being reducible to any one of them.”

— Ramsey Wilcox, Lead author and Notre Dame graduate student (Mirage News)

What’s next

The researchers plan to further explore how the brain's large-scale organization changes over the course of development and aging, and how it is impacted by brain injuries or disorders. They also aim to apply insights from this work to the design of more flexible and adaptable artificial intelligence systems.

The takeaway

This study shifts the focus of intelligence research from localized brain regions to the global organization and communication of distributed neural networks. It suggests that human intelligence emerges from the brain's ability to flexibly coordinate specialized processes, rather than relying on a single general-purpose mechanism. These findings have important implications for understanding the nature of cognition and informing the development of advanced artificial intelligence.