Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci.
Ontology highlight
ABSTRACT: It is largely unknown whether there is functional role difference between cortical gyral and sulcal regions. Recent advancements in neuroimaging studies demonstrate clear difference of structural connection profiles in gyral and sulcal areas, suggesting possible functional role difference in these convex and concave cortical regions. To explore and confirm such possible functional difference, we design and apply a powerful deep learning model of convolutional neural networks (CNN) that has been proven to be superior in learning discriminative and meaningful patterns on fMRI. By using the CNN model, gyral and sulcal fMRI signals are learned and predicted, and the prediction performance is adopted to demonstrate the functional difference between gyri and sulci. By using the Human Connectome
SUBMITTER: Zhang S
PROVIDER: S-EPMC6500590 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
ACCESS DATA