Network neuroscience theory best predictor of intelligence, study finds

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Network neuroscience theory best predictor of intelligence, study finds
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Network neuroscience theory best predictor of intelligence, study finds UofIllinois

, said Aron Barbey, a professor of psychology, bioengineering and neuroscience at the University of Illinois Urbana-Champaign who led the new work with first author Evan Anderson, now a researcher for Ball Aerospace and Technologies Corp. working at the Air Force Research Laboratory.

A biological understanding of these cognitive abilities requires"characterizing how individual differences in intelligence and problem-solving ability relate to the underlying architecture and neural mechanisms of brain networks," Anderson said. "Strong connections involve highly connected hubs of information-processing that are established when we learn about the world and become adept at solving familiar problems," Anderson said."Weak connections have fewer neural linkages but enable flexibility and adaptive problem-solving." Together, these connections"provide the network architecture that is necessary for solving the diverse problems we encounter in life.

These include the frontoparietal network, which enables cognitive control and goal-directed decision-making; the dorsal attention network, which aids in visual and spatial awareness; and the salience network, which directs attention to the most relevant stimuli.

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