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  • Study: Network neuroscience theory best predictor of intelligence

    Portrait of Aron Barbey

    U. of I. professor Aron Barbey, pictured, and co-author Evan Anderson found that taking into account the features of the whole brain – rather than focusing on individual regions or networks – allows the most accurate predictions of intelligence.

     

    Photo by Fred Zwicky

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  • Editor's notes:

    Barbey is a co-editor – with Sherif Karama, of McGill University, Montréal; and Richard J. Haier, of University of California, Irvine – of “The Cambridge Handbook of Intelligence and Cognitive Neuroscience,” published by Cambridge University Press in 2021.

    To reach Aron Barbey, email barbey@illinois.edu
    To reach Evan Anderson, email eandrsn2@illinois.edu

    The paper “Investigating cognitive neuroscience theories of human intelligence: A connectome-based predictive modeling approach” is available online and from the U. of I. News Bureau.

    DOI: 10.1002/hbm.26164