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Communication Dans Un Congrès Année : 2024

STRUCTURAL-CONNECTIVITY-BASED INDIVIDUAL PARCELLATIONS IMPROVE REGIONAL CORTICAL THICKNESS HERITABILITY STUDY

Résumé

In this study, we subdivided a widely used cortical surface atlas into a group parcellation based on the structural connectivity obtained from white matter tractography. This group par cellation was further adapted to the specificity of each individual’s white matter. The interest of this strategy was validated in a study of the heritability of cortical thickness, via comparison with random subdivisions of the initial atlas. Firstly, this validation shows that in certain morphological regions, the individual data-driven subdivisions of the atlas capture homogeneous architectural entities in terms of cortical thickness. Subsequently, in such regions, it is shown that one parcel obtained through the data-driven strategy retains the high thickness heritability of the initial atlas region. This property probably means that the spatial adaptation of the group parcellation to individual subjects enables the method to track the architectural entity that generates this heritability.
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Dates et versions

hal-04577309 , version 1 (16-05-2024)

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  • HAL Id : hal-04577309 , version 1

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Clément Langlet, Denis Rivière, Antoine Grigis, Vincent Frouin, Jean-François Mangin. STRUCTURAL-CONNECTIVITY-BASED INDIVIDUAL PARCELLATIONS IMPROVE REGIONAL CORTICAL THICKNESS HERITABILITY STUDY. ISBI 2024, May 2024, Athenes, Grece, France. ⟨hal-04577309⟩
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