BIDS for MATLAB / Octave

This repository aims at centralising MATLAB/Octave tools to interact with BIDS (Brain Imaging Data Structure) datasets.

For more information about BIDS, visit https://bids.neuroimaging.io/.

See also PyBIDS for Python and the BIDS Starter Kit.

Installation

Requirements

BIDS-MATLAB works with:

Octave 5.2.0 or newer
MATLAB R2014a or newer

We aim for compatibility with the latest stable release of Octave at any time. Compatibility can sometimes also be achieved with older versions of Octave but this is not guaranteed.

For MacOS and Unix system, using bids.copy_to_derivative requires a version of gunzip >= 1.6.

Download or clone

Download, unzip this repository and add its content to the MATLAB/Octave path.

unzip('https://github.com/bids-standard/bids-matlab/archive/main.zip');
addpath('bids-matlab-main');

Or clone it with git:

git clone https://github.com/bids-standard/bids-matlab.git

and then add it to your MATLAB/Octave path.

addpath('bids-matlab');

Get the latest features

Stable versions should be fetched from a specific version tag or from the Mathworkds file exchange.

A new version of BIDS matlab should be released for each new version of the BIDS specification to allow for a support of new BIDS datatypes or features.

If you want the latest features of bids-matlab that are in development are in our main branch.

To access them you can either download the main branch from there: https://github.com/bids-standard/bids-matlab/tree/main

Or clone it:

git clone --branch main https://github.com/bids-standard/bids-matlab.git

Features

What this toolbox can do

read the layout of a BIDS dataset (see bids.layout),
perform queries on that layout to get information about the subjects, sessions, runs, modalities, metadata... contained within that dataset (see bids.query),
parse the layout of "BIDS-derivative compatible" datasets (like those generated by fMRIprep),
create BIDS compatible filenames or folder structures for raw or derivatives datasets (bids.File, bids.util.mkdir, bids.dataset_description),
do basic copying of files to help initialize a derivative dataset to start a new analysis (bids.copy_to_derivative),
generate a human readable report of the content of BIDS data set containing anatomical MRI, functional MRI, diffusion weighted imaging, field map data (see bids.report)
bids.diagnostic creates summary figures listing:
- the number of files for each subject / session and imaging modality
- the number of trials for each trial type in each events.tsv file for a given task
read and write JSON files (see bids.util.jsondecode and bids.util.jsonwrite) provided that the right dependencies are installed,
read and write TSV files (see bids.util.tsvread and bids.util.tsvwrite)
access and query the BIDS schema (bids.schema)
access, query and create basic transformations for the BIDS statistical model (bids.Model and bids.transformers)

The behavior of this toolbox assumes that it is interacting with a valid BIDS dataset that should have been validated using BIDS-validator. If the Node.js version of the validator is installed on your computer, you can call it from the matlab prompt using bids.validate. Just be aware that any unvalidated components may produce undefined behavior. Although, if you're BIDS-y enough, the behavior may be predictable.

What this toolbox cannot do... yet

generate human readable reports of the content of BIDS data with EEG, MEG, iEEG, physio and events data,

What will this toolbox most likely never do

act as a Matlab / Octave based BIDS-validator
act as a BIDS converter
implement reading / writing capabilities for the different modality-specific data format that exist in BIDS (.nii, .eeg, .ds, .fif...)

Usage

BIDS matlab is structured as package, so you can easily access functions in subfolders that start with +.

To use the +bids/layout.m function:

BIDS = bids.layout('/home/data/ds000117');
bids.query(BIDS, 'subjects')

To use the +bids/+util/jsondecode.m function:

content = bids.util.jsondecode('/home/data/some_json_file.json');

Demos

There are demos and tutorials showing some of the features in the demos folder.

Reading and writing JSON files

Make sure to be familiar with the JSON 101.

Note some of the perks of working with JSON files described on the BIDS starterkit.

For BIDS-MATLAB, if you are using MATLAB R2016b or newer, nothing else needs to be installed.

If you are using MATLAB R2016a or older, or using Octave, you need to install a supported JSON library for your MATLAB or Octave. This can be any of:

JSONio for MATLAB or Octave
SPM12

Get in touch

To contact us:

open an issue
join our chat on the BIDS-MATLAB channel on the brainhack mattermost
join our google group.

Other tools (MATLAB only)

dicm2nii: A DICOM to BIDS converter
imtool3D_BIDS: A 3D viewer for BIDS directory
Brainstorm: Comprehensive brain analysis toolbox (includes BIDS import and export and different examples dealing with BIDS datasets (e.g. group analysis from a MEG visual dataset, resting state analysis from OMEGA datasets)

How to cite

To credit BIDS-Matlab in your work, please cite the Zenodo archive, which points to a permanent record of all BIDS-Matlab versions. We encourage you to mention the specific version you used.

@software{Gau_bids-matlab,
author = {Gau, Rémi and Flandin, Guillaume and Janke, Andrew and Duval, Tanguy and Oostenveld, Robert and Madan, Christopher and Niso, Guiomar and Szczepanik, Michał and Mutsaerts, Henk and Beliy, Nikita and Norgaard, Martin and Pernet, Cyril and Chrisophe, Phillips and Shahzad, Iqra and  Botvinik-Nezer, Rotem and Barilari, Marco and Battal, Ceren and MacLean, Michèle and Caron-Guyon, Jeanne},
license = {MIT},
title = {{bids-matlab}},
url = {https://github.com/bids-standard/bids-matlab},
doi = https://doi.org/10.5281/zenodo.3363985
}

Contributing

If you want to contribute make sure to check our contributing guidelines.

Thanks goes to these wonderful people (emoji key):

_Guillaume 💻 🎨 📖 💡 🤔 🚇 🚧 💬 👀 ⚠️	_{Remi Gau} 💻 🎨 📖 💡 🤔 🚧 💬 👀 ⚠️	_{Andrew Janke} 💻 🎨 📖 🤔 👀 🚇	_tanguyduval 💻 📖 🤔	_{Robert Oostenveld} 💻 📖 🤔 👀	_{Christopher Madan} 🖋	_{Julia Guiomar Niso Galán} 👀
_{Michał Szczepanik} 🚇 🤔 💻	_{Henk Mutsaerts} 💻 🤔	_{Nikita Beliy} 💻 🤔 👀	_{Martin Norgaard} 🐛 🤔	_{Cyril Pernet} 💻 🤔	_{Christophe Phillips} 🤔	_CerenB 👀
_{marcobarilari} 👀	_{Michèle MacLean} 🐛	_{Jeanne Caron-Guyon} 🤔	_{Rotem Botvinik-Nezer} 🤔	_{Iqra Shahzad} 👀	_{DanielaMariaPinzon} 🐛	_JeanLucAnton 🐛
_{avanaudenhaege} 🐛	_coxroy 🐛 🤔 📓	_achilleasNP 🐛