We are excited to release the updated quarterly standings of our OpenNeuro Hall of Fame! The Hall of Fame recognizes neuroimaging labs that have shared the most datasets on OpenNeuro. If you have data you would like to share, please consider sharing it on OpenNeuro.   1st place: The Princeton Computational Memory Lab The Princeton […]

A few weeks ago (April 3-5, 2019), we hosted a 3-day meeting at Princeton University to further develop and extend BIDS to cover Computational Models. We invited an international group of researchers with diverse experience in designing and implementing computational models. The goal of the meeting was to devise a set of use cases and […]

We are excited to announce BIDS now supports EEG (electroencephalography) and iEEG (intracranial electrophysiology) raw data organization! You will now be able to validate your EEG and iEEG datasets. With this extension, you will also be able to submit and download EEG and iEEG datasets on OpenNeuro. You can find preprints of the BIDS-EEG and […]

We are excited to announce the OpenNeuro Hall of Fame! The Hall of Fame celebrates neuroimaging labs that share the most data on OpenNeuro. We will be updating and announcing the standings of this Hall of Fame monthly. The aim is to spotlight the labs that have shared the most datasets or participants on OpenNeuro. […]

Introduction Welcome to our tutorial on running fMRIPrep (for a more detailed description of the tool, please check out our recent paper/preprint). In this tutorial, we will be utilizing the docker container of fMRIPrep. This tutorial will illustrate a detailed step-by-step guide on how to prepare and run this. We will provide the command line […]

A few weeks ago (October 17th-19th, 2018) we hosted a 3 day meeting at Stanford University to further extend the BIDS standard to describe statistical model specifications of neuroimaging analyses. We invited a diverse international group representing different platforms and groups (i.e. AFNI, NIDM, Gigantum) whose work would benefit from a standard for statistical models. […]

A few weeks ago (October 15th, 2018) we hosted a meeting at Stanford University to affirm the goals and further advancements of OpenNeuro. We invited our engineering team (Squishymedia), the NIMH data science and sharing team as well as a representative of NIMH extramural funding division. The goal of this meeting was for all participants […]

Last month (Aug 22th-24th, 2018) we hosted a 3 day meeting at Stanford University to further extend the BIDS standard into the processed derivatives domain. We invited an international group representing many different organizations (i.e. MRN, HCP, Invicro, NDA) and analysis packages (i.e. FSL, FreeSurfer, ANTs, dipy, nilearn). The goal of this meeting was to […]

Introduction We launched a survey to investigate what derivatives the neuroimaging community determines has a strong chance of being reused or has a higher priority to save and share. The survey was shared across several prevalent neuroimaging mailing lists. These results will guide our standardization efforts. The survey focused on derivatives for MRI modalities – […]

Stanford Center for Reproducible Neuroscience held a BIDS info/help session on the Stanford University campus on June 29, 2018. We are making the slides used for the presentation available for all to review and look through. This presentation was used to introduce the attendees to BIDS, go through the different modality templates covered by BIDS, […]

Introduction Welcome back to the next tutorial in the tutorial series “Getting Started with BIDS”. In this tutorial, we will be utilizing an off-the-shelf solution called HeuDiConv. This tutorial will illustrate a detailed step-by-step guide on how to use HeuDiConv. The guide will take one subject and iteratively add one session at a time until the […]

Introduction Welcome to part 1B of the tutorial series “Getting Started with BIDS”. This tutorial will illustrate how one can automate the conversation of DICOMs into a valid BIDS dataset. This tutorial will follow the same workflow detailed in part 1A of this tutorial series. We will be using DICOMs from the Nathan Kline Institute (NKI) […]