A recent study published in PNAS Nexus explores the relationship between brain connectivity and intelligence by prioritizing interpretability in predictive modeling. Intelligence, crucial for life outcomes, was predicted using brain connectivity data from the Human Connectome Project. The study utilized machine learning techniques to identify about 1,000 highly predictive brain connections across cognitive states and networks. The results showed that predictive models based on whole-brain connectivity outperformed theory-driven models. The study highlights the importance of understanding the neural basis of intelligence and provides insights into the complex relationships between brain connectivity and cognitive abilities.
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