Structural and functional network connections within the P-FIT model predict interindividual differences in fluid intelligence

The Parieto-Frontal Integration Theory (P-FIT) predicts that human intelligence is closely linked to the anatomical properties and functional activation patterns of several brain regions located in the visual, temporal,... [ view full abstract ]

The Parieto-Frontal Integration Theory (P-FIT) predicts that human intelligence is closely linked to the anatomical properties and functional activation patterns of several brain regions located in the visual, temporal, parietal, frontal and cingulate cortex. Similarly, solving an abstract reasoning tasks involves multiple processing stages and thus requires the harmonic interplay of multiple brain regions. We recently demonstrated that the architecture of specific structural and functional network connections within the P-FIT are correlated with Gf in 85 healthy participants who solved a matrix reasoning test. The multimodal approach included MRI, DTI and resting state fMRI data to estimate structural and functional network properties of brain regions within the P-FIT. Our approach demonstrated that the P-FIT is more than a loose cluster of brain regions associated with intelligence. It is centered around the idea of a widespread network that includes several interconnected brain regions working on the multiple processing stages of abstract problem solving. More specifically, we demonstrate that higher functional coherence at rest and an efficient layout of structural connections within the network leads to better performance on intelligence tests.