6. Revealing Fine-grained Genetically Informed Parcellation Maps of Neonatal Cerebral Cortex
Ying Huang
Presenter
Northwest University
School of Information Science and Technology
Xi'an, ShaanXi
China
Thursday, Jun 27: 11:30 AM - 12:45 PM
2304
Oral Sessions
COEX
Room: ASEM Ballroom 202
Genetic factors have been proven to be one of the major determinants in shaping the neonatal cerebral cortex (Huang et al., 2023; Jha et al., 2018). Prior research has demonstrated distinct genetic influences on the spatial patterns of cortical properties, like cortical thickness (CT) and surface area (SA) in neonates, leading to their unique genetically informed parcellation maps (Huang et al., 2023). However, these parcellation maps were derived with coarse scales and based on single cortical properties, making them unable to comprehensively characterize the fine-grained genetically regulated patterns of the neonatal cerebral cortex. To fill this knowledge gap, by combining genetic correlations from multiple cortical properties, i.e., CT and SA, we aimed to reveal a joint, fine-grained, genetically informed parcellation map of the neonatal cerebral cortex through a multi-view spectral clustering approach (Kumar et al., 2011).
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