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    Behavioral, Anatomical and Heritable Convergence of Affect and Cognition in Superior Frontal Cortex

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    Author
    Kraljević, Nevena
    Schaare, H Lina
    Eickhoff, Simon B
    Kochunov, Peter
    Yeo, B T Thomas
    Kharabian Masouleh, Shahrzad
    Valk, Sofie L
    Date
    2021-09-07
    Journal
    NeuroImage
    Publisher
    Elsevier Inc.
    Type
    Article
    
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    https://doi.org/10.1016/j.neuroimage.2021.118561
    Abstract
    Cognitive abilities and affective experience are key human traits that are interrelated in behavior and brain. Individual variation of cognitive and affective traits, as well as brain structure, has been shown to partly underlie genetic effects. However, to what extent affect and cognition have a shared genetic relationship with local brain structure is incompletely understood. Here we studied phenotypic and genetic correlations of cognitive and affective traits in behavior and brain structure (cortical thickness, surface area and subcortical volumes) in the pedigree-based Human Connectome Project sample (N = 1091). Both cognitive and affective trait scores were highly heritable and showed significant phenotypic correlation on the behavioral level. Cortical thickness in the left superior frontal cortex showed a phenotypic association with both affect and cognition. Decomposing the phenotypic correlations into genetic and environmental components showed that the associations were accounted for by shared genetic effects between the traits. Quantitative functional decoding of the left superior frontal cortex further indicated that this region is associated with cognitive and emotional functioning. This study provides a multi-level approach to study the association between affect and cognition and suggests a convergence of both in superior frontal cortical thickness. © 2021
    Rights/Terms
    Copyright © 2021. Published by Elsevier Inc.
    Keyword
    Affect
    Cognition
    Cortical structure
    Frontal cortex
    Genetic correlation
    Heritability
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/16671
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.neuroimage.2021.118561
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