Literature DB >> 25934470

ConnectomeDB--Sharing human brain connectivity data.

Michael R Hodge1, William Horton2, Timothy Brown2, Rick Herrick2, Timothy Olsen3, Michael E Hileman2, Michael McKay2, Kevin A Archie2, Eileen Cler2, Michael P Harms4, Gregory C Burgess4, Matthew F Glasser5, Jennifer S Elam5, Sandra W Curtiss5, Deanna M Barch4, Robert Oostenveld6, Linda J Larson-Prior7, Kamil Ugurbil8, David C Van Essen5, Daniel S Marcus2.   

Abstract

ConnectomeDB is a database for housing and disseminating data about human brain structure, function, and connectivity, along with associated behavioral and demographic data. It is the main archive and dissemination platform for data collected under the WU-Minn consortium Human Connectome Project. Additional connectome-style study data is and will be made available in the database under current and future projects, including the Connectome Coordination Facility. The database currently includes multiple modalities of magnetic resonance imaging (MRI) and magnetoencephalograpy (MEG) data along with associated behavioral data. MRI modalities include structural, task, resting state and diffusion. MEG modalities include resting state and task. Imaging data includes unprocessed, minimally preprocessed and analysis data. Imaging data and much of the behavioral data are publicly available, subject to acceptance of data use terms, while access to some sensitive behavioral data is restricted to qualified investigators under a more stringent set of terms. ConnectomeDB is the public side of the WU-Minn HCP database platform. As such, it is geared towards public distribution, with a web-based user interface designed to guide users to the optimal set of data for their needs and a robust backend mechanism based on the commercial Aspera fasp service to enable high speed downloads. HCP data is also available via direct shipment of hard drives and Amazon S3.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Connectome Coordination Facility; Connectomics; Data sharing; Human Connectome Project; Neuroinformatics databases; Open access; XNAT

Mesh:

Year:  2015        PMID: 25934470      PMCID: PMC4626437          DOI: 10.1016/j.neuroimage.2015.04.046

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  16 in total

1.  The Extensible Neuroimaging Archive Toolkit: an informatics platform for managing, exploring, and sharing neuroimaging data.

Authors:  Daniel S Marcus; Timothy R Olsen; Mohana Ramaratnam; Randy L Buckner
Journal:  Neuroinformatics       Date:  2007

2.  Pushing the limits of in vivo diffusion MRI for the Human Connectome Project.

Authors:  K Setsompop; R Kimmlingen; E Eberlein; T Witzel; J Cohen-Adad; J A McNab; B Keil; M D Tisdall; P Hoecht; P Dietz; S F Cauley; V Tountcheva; V Matschl; V H Lenz; K Heberlein; A Potthast; H Thein; J Van Horn; A Toga; F Schmitt; D Lehne; B R Rosen; V Wedeen; L L Wald
Journal:  Neuroimage       Date:  2013-05-24       Impact factor: 6.556

3.  Computerized neurocognitive scanning: I. Methodology and validation in healthy people.

Authors:  R C Gur; J D Ragland; P J Moberg; T H Turner; W B Bilker; C Kohler; S J Siegel; R E Gur
Journal:  Neuropsychopharmacology       Date:  2001-11       Impact factor: 7.853

4.  Mapping the human connectome.

Authors:  Arthur W Toga; Kristi A Clark; Paul M Thompson; David W Shattuck; John Darrell Van Horn
Journal:  Neurosurgery       Date:  2012-07       Impact factor: 4.654

5.  Adding dynamics to the Human Connectome Project with MEG.

Authors:  L J Larson-Prior; R Oostenveld; S Della Penna; G Michalareas; F Prior; A Babajani-Feremi; J-M Schoffelen; L Marzetti; F de Pasquale; F Di Pompeo; J Stout; M Woolrich; Q Luo; R Bucholz; P Fries; V Pizzella; G L Romani; M Corbetta; A Z Snyder
Journal:  Neuroimage       Date:  2013-05-20       Impact factor: 6.556

6.  Function in the human connectome: task-fMRI and individual differences in behavior.

Authors:  Deanna M Barch; Gregory C Burgess; Michael P Harms; Steven E Petersen; Bradley L Schlaggar; Maurizio Corbetta; Matthew F Glasser; Sandra Curtiss; Sachin Dixit; Cindy Feldt; Dan Nolan; Edward Bryant; Tucker Hartley; Owen Footer; James M Bjork; Russ Poldrack; Steve Smith; Heidi Johansen-Berg; Abraham Z Snyder; David C Van Essen
Journal:  Neuroimage       Date:  2013-05-16       Impact factor: 6.556

Review 7.  The WU-Minn Human Connectome Project: an overview.

Authors:  David C Van Essen; Stephen M Smith; Deanna M Barch; Timothy E J Behrens; Essa Yacoub; Kamil Ugurbil
Journal:  Neuroimage       Date:  2013-05-16       Impact factor: 6.556

8.  Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.

Authors:  Gholamreza Salimi-Khorshidi; Gwenaëlle Douaud; Christian F Beckmann; Matthew F Glasser; Ludovica Griffanti; Stephen M Smith
Journal:  Neuroimage       Date:  2014-01-02       Impact factor: 6.556

9.  FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data.

Authors:  Robert Oostenveld; Pascal Fries; Eric Maris; Jan-Mathijs Schoffelen
Journal:  Comput Intell Neurosci       Date:  2010-12-23

10.  The minimal preprocessing pipelines for the Human Connectome Project.

Authors:  Matthew F Glasser; Stamatios N Sotiropoulos; J Anthony Wilson; Timothy S Coalson; Bruce Fischl; Jesper L Andersson; Junqian Xu; Saad Jbabdi; Matthew Webster; Jonathan R Polimeni; David C Van Essen; Mark Jenkinson
Journal:  Neuroimage       Date:  2013-05-11       Impact factor: 6.556

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  29 in total

1.  Transferring and generalizing deep-learning-based neural encoding models across subjects.

Authors:  Haiguang Wen; Junxing Shi; Wei Chen; Zhongming Liu
Journal:  Neuroimage       Date:  2018-04-27       Impact factor: 6.556

2.  BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets.

Authors:  Reinder Vos de Wael; Oualid Benkarim; Jonathan Smallwood; Boris C Bernhardt; Casey Paquola; Sara Lariviere; Jessica Royer; Shahin Tavakol; Ting Xu; Seok-Jun Hong; Georg Langs; Sofie Valk; Bratislav Misic; Michael Milham; Daniel Margulies
Journal:  Commun Biol       Date:  2020-03-05

3.  Inpainting Cropped Diffusion MRI using Deep Generative Models.

Authors:  Rafi Ayub; Qingyu Zhao; M J Meloy; Edith V Sullivan; Adolf Pfefferbaum; Ehsan Adeli; Kilian M Pohl
Journal:  Predict Intell Med       Date:  2020-10-01

4.  Computational and mathematical methods in brain atlasing.

Authors:  Wieslaw L Nowinski
Journal:  Neuroradiol J       Date:  2017-11-03

Review 5.  Human brain atlasing: past, present and future.

Authors:  Wieslaw L Nowinski
Journal:  Neuroradiol J       Date:  2017-11-03

6.  Latent Variable Graphical Model Selection using Harmonic Analysis: Applications to the Human Connectome Project (HCP).

Authors:  Won Hwa Kim; Hyunwoo J Kim; Nagesh Adluru; Vikas Singh
Journal:  Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit       Date:  2016-12-12

Review 7.  Gradient and shim technologies for ultra high field MRI.

Authors:  Simone A Winkler; Franz Schmitt; Hermann Landes; Joshua de Bever; Trevor Wade; Andrew Alejski; Brian K Rutt
Journal:  Neuroimage       Date:  2016-11-30       Impact factor: 6.556

Review 8.  The Human Connectome Project's neuroimaging approach.

Authors:  Matthew F Glasser; Stephen M Smith; Daniel S Marcus; Jesper L R Andersson; Edward J Auerbach; Timothy E J Behrens; Timothy S Coalson; Michael P Harms; Mark Jenkinson; Steen Moeller; Emma C Robinson; Stamatios N Sotiropoulos; Junqian Xu; Essa Yacoub; Kamil Ugurbil; David C Van Essen
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

9.  The Brain Analysis Library of Spatial maps and Atlases (BALSA) database.

Authors:  David C Van Essen; John Smith; Matthew F Glasser; Jennifer Elam; Chad J Donahue; Donna L Dierker; Erin K Reid; Timothy Coalson; John Harwell
Journal:  Neuroimage       Date:  2016-04-10       Impact factor: 6.556

10.  Infra-slow brain dynamics as a marker for cognitive function and decline.

Authors:  Shagun Ajmera; Shreya Rajagopal; Razi Ur Rehman; Devarajan Sridharan
Journal:  Adv Neural Inf Process Syst       Date:  2019
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