INDI or the International Neuroimaging Datasharing Initiative is dedicated to accelerating our understanding of the brain’s functional architecture through the implementation of open data-sharing and discovery-based science. Extending the original 1000 Functional Connectomes project, INDI houses 3000+ resting-state FMRI and anatomical datasets. To complement the imaging data INDI encourages contributors to share various phenotypic data, including behavioral questionnaires and cognitive test results as well as physical measures (height, weight) and even DNA samples. These data are aggregated from over 30 independent international imaging sites from around the world.

An initial publication announcing the sample and presenting feasibility analyses was published by Biswal et al. in 2010. Since its initial launch the dataset (or parts of it) is being used in an increasing number of publications ranging from methodological papers to clinical studies.

Who are the members ?

INDI was founded by an international consortium of scientists interested in neuroimaging. To get an idea of who’s involved you can visit this INDI info page.

What can I do ?

You are warmly invited to contribute datasets to the initiative. In addition, INDI welcomes any effort related to processing the available data and making the results publicly available. For an example of such effort, check out the ADHD-200 prepocessed! project.

How can I contribute ?

If you want to contribute data to INDI, you can contact the project coordinator, Michael Milham, through the form below. For questions regarding the data or its usage you can stop by the INDI community forums.

This is a stackoverflow-like exchange for neuroinformatics at area 51. This resource provides a quantitative way to assess the importance of questions and their answers, inspired by mathoverflow.net

What can I do ?

Read and score the questions & answers and follow the list. You can also submit a question. Relevant topics are (non exhaustive list):

• ontologies and lexicons
• computing and database infrastructures
• usage questions of tools
• resources- questions that wikipedia does not have the answer to

How can I join ?

Go to the Q&A list and click “follow”.

Who are the members ?

The project was started by Satrajit Ghosh. A list of recent followers can be found on the website.

The ADHD-200 consortium has released a large database of structural MRI, resting-state functional MRI raw datasets, along with phenotypic data acquired on a large cohort of children and adolescents, both for typically developing individuals as well as patients diagnosed with an attention deficit hyperactivity disorder (ADHD). This project aims at preprocessing this database using a variety of strategies, and make the outcome publicly available for the community to use.

What can I do ?

You can download some of the preprocessed datasets already available (see a description of the methods here). You can also provide alternative preprocessed results.

How can I join ?

Please contact info [at] neurobureau.org

Who are the members ?

This project runs under the hood with the neurobureau. Involved members are:

• Cameron Craddock (Virginia Tech Carilion Research Institute, USA)
• Pierre Bellec (Centre de recherche de l’institut de gériatrie de Montréal,Université de Montréal, Canada)
• Carlton Chu (Section of Functional Imaging Methods, Laboratory of Brain and Cognition, NIMH, NIH, Bethesda, USA)
• François Chouinard-Decorte (Centre de recherche de l’institut de gériatrie de Montréal,Université de Montréal, Canada)
• Sébastien Lavoie-Courchesne (Centre de recherche de l’institut de gériatrie de Montréal,Université de Montréal, Canada)

NeuroSynth is a platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles.

What can I do ?

Currently you can download most of the images on the website by clicking on the ‘Download image’ link under the corresponding image. In the near future, you’ll also be able to download coordinate and study lists. Data dumps of the full coordinate database and various image datasets will also be made available shortly.

All data available on this site are released under an Open Data Commons Open Database License (ODbL). This means that while the data are free to use and adapt however you wish, there are some restrictions you need to abide by. Namely, you must (a) attribute any public use of the database, (b) publicly share (under a same or compatible license) any derivate or adapted works, and (c) distribute an open version of any derivative works. For more information on the license, see thehuman-readable summary or the full legalese.

The NeuroSynth framework is built on several interrelated packages, most of which are available in our github repository. There’s also some rudimentary documentation, which I’ll add to as time allows. Contributions to the codebase are very welcome.

How can I join ?

One of our main goals in developing NeuroSynth is to promote open, synthesis-oriented approaches to the analysis of neuroimaging data. We think open science is the best kind of science, and are gradually making most of our software, data, and results publicly available to that end. If you have any comments, suggestions, bug reports, or questions, please email Tal Yarkoni.

Who are the members ?

The NeuroSynth framework is a collaborative effort between Tal Yarkoni, Tor Wager, Tom Nichols, Russ Poldrack, and David Van Essen. The website, and most of the underlying analysis tools, were developed by Tal Yarkoni. Lots of other people have contributed valuable feedback and testing, including Alex Shackman, Drew Fox, Luke Chang, Tim Vickery, Jessica Andrews-Hanna, and members of the Neuroimaging Data Access Group.

The OpenfMRI project was established in 2010 to provide a resource for researchers interested in making their fMRI data openly available to the research community.

What can I do ?

You can contribute an fMRI database to the project.

How can I join ?

Create an account on openfmri.org.

Who are the members ?

The project is managed by Russ Poldrack at the University of Texas at Austin, with computing resources provided by the Texas Advanced Computing Center.

The OpenfMRI project is funded by a grant from the National Science Foundation (OCI-1131441).

A list of the investigators who contributed datasets can be found on the website.

The ADHD-200 Sample is a grassroots initiative, dedicated to accelerating the scientific community’s understanding of the neural basis of Attention Deficit Hyperactivity Disorder (ADHD) through the implementation of open data-sharing and discovery-based science. Towards this goal, the ADHD-200 consortium has publicly released 776 resting-state fMRI and anatomical datasets aggregated across 8 independent imaging sites, 491 of which were obtained from typically developing individuals and 285 in children and adolescents with ADHD (ages: 7-21 years old). Accompanying phenotypic information includes: diagnostic status, dimensional ADHD symptom measures, age, sex, intelligence quotient (IQ) and lifetime medication status. More information on the ADHD-200 website.

What can I do ?

You can contribute datasets to the study. It is also possible to process either parts of the database or the full database and share the results publicly, see the ADHD-200 prepocessed! project

Who are the members ?

See the ADHD-200 website for a list of contributors.

How can I join ?

If you want to contribute data to the ADHD-200 sample, you can contact the project coordinator, Michael Milham, through the form below. For questions regarding the data or its usage you can stop by the INDI community forums.

The brainhack.org website initiative aims at creating an online repository of open collaborative projects in brain science.

What can I do ?

You can help to update the description of a project, or add new project descriptions. The only condition for inclusion of a project is that it has to be an open collaborative effort, and somewhat be connected to the brain.

How can I join ?

Please contact info [at] brainhack.org

Who are the members ?

This project runs under the hood with the neurobureau. Involved members are:

• Maarten Mennes (New York University, USA)
• Cameron Craddock (Virginia Tech Carilion Research Institute, USA)
• Pierre Bellec (Centre de recherche de l’institut de gériatrie de Montréal, Université de Montréal, Canada)
• Daniel Margulies (Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, DE)
• Donald McLaren (Massachusetts General Hospital and Harvard Medical School, USA).