Comparison of different group-level templates in gradient-based multimodal connectivity analysis.

ABSTRACT: The study of large-scale brain connectivity is increasingly adopting unsupervised approaches that derive low-dimensional spatial representations from high-dimensional connectomes, referred to as gradient analysis. When translating this approach to study interindividual variations in connectivity, one technical issue pertains to the selection of an appropriate group-level template to which individual gradients are aligned. Here, we compared different group-level template construction strategies using functional and structural connectome data from neurotypical controls and individuals with autism spectrum disorder (ASD) to identify between-group differences. We studied multimodal magnetic resonance imaging data obtained from the Autism Brain Imaging Data Exchange (ABIDE) Initiative II and th

SUBMITTER: Kim S 

PROVIDER: S-EPMC11674319 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature