Understanding the Link Between Functional Profiles and Intelligence Through Dimensionality Reduction and Graph Analysis

ABSTRACT

There is a growing interest in neuroscience for how individual‐specific structural and functional features of the cortex relate to cognitive traits. This work builds on previous research which, by using classical high‐dimensional approaches, has proven that the interindividual variability of functional connectivity (FC) profiles reflects differences in fluid intelligence. To provide an additional perspective into this relationship, the present study uses a recent framework for investigating cortical organization: functional gradients. This approach places local connectivity profiles within a common low‐dimensional space whose axes are functionally interpretable dimensions. Specifically, this study uses a data‐driven approach to model the association between FC variability and interindividual differences in intelligence. For one of these loci, in the right ventral‐lateral prefrontal cortex (vlPFC), we describe an association between fluid intelligence and the relative functional distance of this area from sensory and high‐cognition systems. Furthermore, the topological properties of this region indicate that, with decreasing functional affinity with high‐cognition systems, vlPFC functional connections are more evenly distributed across all networks. Participating in multiple functional networks may reflect a better ability to coordinate sensory and high‐order cognitive systems.

Abstract

This study uses a data‐driven approach to model the association between functional connectivity variability and interindividual differences in intelligence. We describe an association between fluid intelligence and the relative functional distance of the right ventral‐lateral prefrontal cortex from sensory and high‐cognition systems.