Brain Imaging Data Structure (BIDS) Specification
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Updated
Nov 5, 2024 - Python
Brain Imaging Data Structure (BIDS) Specification
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
Automatically process entire electrophysiological datasets using MNE-Python.
Preprocessing of diffusion MRI
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
BIDScoin converts your source-level neuroimaging data to BIDS
Temporal Network Tools
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Python3 library to format physiological files in BIDS. At the moment, it supports Acqknowledge and Labchart. BrainHack participants, check the issues with the BrainHack labels!
Generate subject connectomes from raw BIDS data & perform inter-subject connection density normalisation, using the MRtrix3 software package.
Small Animal Magnetic Resonance Imaging via Python.
BIDS app wrapping recon-all from FreeSurfer
A BIDS App for minimal preprocessing using the HCP Pipelines
Resting state HRF estimation from BOLD-fMRI signal
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