Network neuroscience theory best predictor of intelligence


Recent evidence in network neuroscience indicates that general intelligence may depend on system-wide network mechanisms, suggesting that the spatially localized predictions of standard theories may be necessary but not sufficient to account for the neural architecture of intelligence. To investigate this key theoretical issue, we directly compared the predictions of local versus global theories within a connectome-based predictive modeling framework, demonstrating that general intelligence can be predicted by local functional connectivity profiles but is most accurately explained by global profiles of whole-brain connectivity.

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