The most accurate predictions of intelligence consider global profiles of whole-brain connectivity rather than spatially localized regional networks, claims a predictive modeling study based on fMRI and cognitive tests that aimed to evaluate the effectiveness of various neuroscientific theories of human intelligence.
The study, conducted on nearly 300 healthy young participants, was led by Evan Anderson, PhD, a former graduate student in the decision laboratory at the University of Illinois at Urbana-Champaign, and who is now a researcher at Ball Aerospace and Technologies, and Aron Barbey, PhD, the director of the decision laboratory and a professor of psychology, neuroscience, and bioengineering at the University of Illinois at Urbana-Champaign. The findings were published in the journal Human Brain Mapping (“Investigating cognitive neuroscience theories of human intelligence: A connectome-based predictive modeling approach”).
