Micapipe: A pipeline for multimodal neuroimaging and connectome analysis.

ABSTRACT: Multimodal magnetic resonance imaging (MRI) has accelerated human neuroscience by fostering the analysis of brain microstructure, geometry, function, and connectivity across multiple scales and in living brains. The richness and complexity of multimodal neuroimaging, however, demands processing methods to integrate information across modalities and to consolidate findings across different spatial scales. Here, we present micapipe, an open processing pipeline for multimodal MRI datasets. Based on BIDS-conform input data, micapipe can generate i) structural connectomes derived from diffusion tractography, ii) functional connectomes derived from resting-state signal correlations, iii) geodesic distance matrices that quantify cortico-cortical proximity, and iv) microstructural profile covarian

SUBMITTER: Cruces RR 

PROVIDER: S-EPMC10697132 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature