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  The Neuro Bureau ADHD-200 Preprocessed repository

Bellec, P., Chu, C., Chouinard-Decorte, F., Benhajali, Y., Margulies, D. S., & Craddock, R. C. (2017). The Neuro Bureau ADHD-200 Preprocessed repository. NeuroImage, 144(Part B), 275-286. doi:10.1016/j.neuroimage.2016.06.034.

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 Creators:
Bellec, Pierre1, 2, 3, Author
Chu, Carlton1, 4, Author
Chouinard-Decorte, François1, 2, 5, Author
Benhajali, Yassine1, 2, 6, Author
Margulies, Daniel S.1, 7, Author              
Craddock, R. Cameron1, 8, 9, Author
Affiliations:
1The Neuro Bureau, Leipzig, Germany, ou_persistent22              
2Centre de recherche de l'Institut universitaire de gériatrie de Montréal, QC, Canada, ou_persistent22              
3Department of Computer Science and Operations Research, University of Montréal, QC, Canada, ou_persistent22              
4Google DeepMind, London, United Kingdom, ou_persistent22              
5Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada, ou_persistent22              
6Department of Anthropology, University of Montréal, QC, Canada, ou_persistent22              
7Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_1356546              
8Computational Neuroimaging Laboratory, Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA, ou_persistent22              
9Center for the Developing Brain, Child Mind Institute, New York, USA, ou_persistent22              

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Free keywords: Preprocessed fMRI; Data sharing; Neuroimaging competition
 Abstract: In 2011, the “ADHD-200 Global Competition” was held with the aim of identifying biomarkers of attention-deficit/hyperactivity disorder from resting-state functional magnetic resonance imaging (rs-fMRI) and structural MRI (s-MRI) data collected on 973 individuals. Statisticians and computer scientists were potentially the most qualified for the machine learning aspect of the competition, but generally lacked the specialized skills to implement the necessary steps of data preparation for rs-fMRI. Realizing this barrier to entry, the Neuro Bureau prospectively collaborated with all competitors by preprocessing the data and sharing these results at the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) (http://www.nitrc.org/frs/?group_id=383). This “ADHD-200 Preprocessed” release included multiple analytical pipelines to cater to different philosophies of data analysis. The processed derivatives included denoised and registered 4D fMRI volumes, regional time series extracted from brain parcellations, maps of 10 intrinsic connectivity networks, fractional amplitude of low frequency fluctuation, and regional homogeneity, along with grey matter density maps. The data was used by several teams who competed in the ADHD-200 Global Competition, including the winning entry by a group of biostaticians. To the best of our knowledge, the ADHD-200 Preprocessed release was the first large public resource of preprocessed resting-state fMRI and structural MRI data, and remains to this day the only resource featuring a battery of alternative processing paths.

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Language(s): eng - English
 Dates: 2016-05-282015-12-252016-06-172016-07-152017-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2016.06.034
PMID: 27423255
Other: Epub 2016
 Degree: -

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 144 (Part B) Sequence Number: - Start / End Page: 275 - 286 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166