Brain Imaging Data Structure (BIDS) Specification
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Updated
May 29, 2024 - Python
Brain Imaging Data Structure (BIDS) Specification
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
Automatically process entire electrophysiological datasets using MNE-Python.
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!
BIDScoin converts your source-level neuroimaging data to BIDS
BIDS app wrapping recon-all from FreeSurfer
A BIDS App for minimal preprocessing using the HCP Pipelines
Temporal Network Tools
Small Animal Magnetic Resonance Imaging via Python.
Generate subject connectomes from raw BIDS data & perform inter-subject connection density normalisation, using the MRtrix3 software package.
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.
A conversion tool for creating NDA compatible metadata representation from BIDS datasets.
BIDS Application for the Configurable Pipeline for the Analysis of Connectomes (C-PAC)
Estimate/compute high-frequency oscillations (HFOs) from iEEG data that are BIDS and MNE compatible using a scikit-learn-style API.
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