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

delete2025-02-21
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OA
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F
Francesco Alberti
A
Arianna Menardi *
D
Daniel S. Margulies
A
Antonino Vallesi
DOI:10.1002/hbm.70149delete
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Abstract

Abstract

En 中文
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.
Keywords:
functional connectivity
functional gradients
intelligence
interindividual differences
topology
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Journal

Human Brain Mapping cover
Human Brain Mapping
IF:
3.3
Papers:
6.8K
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2.6W

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C
centre national de la recherche scientifique (cnrs)
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U
university of oxford
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