The MATLAB toolbox for MEG, EEG and iEEG analysis
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
翻译 - fMRIPrep是用于预处理各种fMRI数据的强大且易于使用的管道。透明的工作流程无需人工干预，从而确保了结果的可重复性。
Brain Imaging Data Structure (BIDS) Specification
A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.
Validator for the Brain Imaging Data Structure
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
Automatically process entire electrophysiological datasets using MNE-Python.
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
#数据仓库#A free and open platform for analyzing and sharing neuroimaging data
micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below
A Visual Studio extension that enhances development functionality in Business Intelligence Development Studio (BIDS) and SQL Server Data Tools (SSDT).
Temporal Network Tools
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data ...
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!
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.