Texture-based brain networks for characterization of healthy subjects from MRI.

ABSTRACT: Brain networks have been widely used to study the relationships between brain regions based on their dynamics using, e.g. fMRI or EEG, and to characterize their real physical connections using DTI. However, few studies have investigated brain networks derived from structural properties; and those have been based on cortical thickness or gray matter volume. The main objective of this work was to investigate the feasibility of obtaining useful information from brain networks derived from structural MRI, using texture features. We also wanted to verify if texture brain networks had any relation with established functional networks. T1-MR images were segmented using AAL and texture parameters from the gray-level co-occurrence matrix were computed for each region, for 760 subjects. Individual t

SUBMITTER: da Silveira RV 

PROVIDER: S-EPMC10541866 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature