A recent study led by researchers at Julius-Maximilians-Universität Würzburg illuminates the relationship between brain connectivity and human intelligence. Published in PNAS Nexus, the research moves beyond simple prediction of intelligence scores to explore the fundamental processes in the brain associated with different types of intelligence.

The team, led by Kirsten Hilger, utilized data from the Human Connectome Project, analyzing fMRI scans of over 800 individuals both at rest and during various tasks. They examined brain connections to predict individual intelligence scores, focusing on three types of intelligence: fluid, crystallized, and general.

A key finding of the study was that the distribution and number of connections across the entire brain were more crucial for predicting intelligence than the specific locations of these connections. Dr. Hilger explains, "The interchangeability of the selected connections suggests that intelligence is a global property of the whole brain."

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The research also challenges established theories of intelligence that focus on specific brain areas. While connections in traditionally associated regions like the prefrontal cortex were important, the study found that including connections from additional brain regions improved predictive performance.

"The connections of brain regions proposed in the most popular neurocognitive models of intelligence produced better results than randomly selected connections. However, the results were even better when complementary connections were added," Dr. Hilger notes.

By demonstrating that intelligence is linked to brain-wide connectivity patterns rather than isolated regions, this study contributes to a more nuanced understanding of the neural basis of human intelligence, suggesting there may be more aspects of intelligence yet to be discovered.