micapipe
micapipe processes multimodal MRI datasets to extract and summarize brain microstructure, cortical geometry, functional connectivity, and structural connectivity across multiple spatial scales for human neuroimaging studies.
Key Features:
- Integration Across Modalities: Processes MRI data conforming to the Brain Imaging Data Structure (BIDS) format to integrate multiple imaging modalities.
- Connectome Generation: Generates structural connectomes using diffusion tractography and functional connectomes using resting-state signal correlations.
- Geodesic Distance Matrices: Computes cortico-cortical geodesic distance matrices to quantify cortical proximity.
- Microstructural Profile Covariance: Computes microstructural profile covariance matrices to assess inter-regional similarity in cortical myelin proxies.
- Spatial Scale Flexibility: Supports 18 established cortical parcellations ranging from 100 to 1,000 parcels and includes subcortical and cerebellar parcellations.
- Surface Space Representation: Represents outputs on native, conte69, and fsaverage5 surface spaces.
- Quality Control: Provides processed outputs that can be quality controlled at individual and group levels.
Scientific Applications:
- Integrative Multimodal Analysis: Enables combined analysis of brain microstructure, morphology, function, and connectivity using multimodal MRI data.
- Anatomical Studies: Supports basic anatomical investigations of cortical organization and myelination patterns.
- Network and Functional Investigations: Facilitates analyses of neural networks and their functional implications using structural and functional connectomes.
Methodology:
Processes BIDS-formatted MRI data; performs diffusion tractography for structural connectomes and resting-state correlation for functional connectomes; computes geodesic distance matrices and microstructural profile covariance matrices from cortical myelin proxies; supports 18 cortical parcellations (100–1,000 parcels) plus subcortical and cerebellar parcellations and outputs on native, conte69, and fsaverage5 surface spaces; includes individual- and group-level quality control.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- library, workflow
- Programming Languages:
- Shell, Python
- Added:
- 11/10/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Cruces RR, Royer J, Herholz P, Larivière S, Vos de Wael R, Paquola C, Benkarim O, Park B, Degré-Pelletier J, Nelson MC, DeKraker J, Leppert IR, Tardif C, Poline J, Concha L, Bernhardt BC. Micapipe: A pipeline for multimodal neuroimaging and connectome analysis. NeuroImage. 2022;263:119612. doi:10.1016/j.neuroimage.2022.119612. PMID:36070839. PMCID:PMC10697132.