Literature DB >> 22284177

Open neuroscience solutions for the connectome-wide association era.

Michael Peter Milham1.   

Abstract

The neuroimaging community is at a crossroads. Long characterized by individualism, the data and computational and analytic needs of the connectome-wide association era necessitate cultural reform. Emerging initiatives have demonstrated the feasibility and utility of adopting an open neuroscience model to accelerate the pace and success of scientific discovery.
Copyright © 2012 Elsevier Inc. All rights reserved.

Mesh:

Year:  2012        PMID: 22284177     DOI: 10.1016/j.neuron.2011.11.004

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  60 in total

Review 1.  Sharing heterogeneous data: the national database for autism research.

Authors:  Dan Hall; Michael F Huerta; Matthew J McAuliffe; Gregory K Farber
Journal:  Neuroinformatics       Date:  2012-10

Review 2.  Annual Research Review: Discovery science strategies in studies of the pathophysiology of child and adolescent psychiatric disorders--promises and limitations.

Authors:  Yihong Zhao; F Xavier Castellanos
Journal:  J Child Psychol Psychiatry       Date:  2016-01-06       Impact factor: 8.982

3.  Interacting with the National Database for Autism Research (NDAR) via the LONI Pipeline workflow environment.

Authors:  Carinna M Torgerson; Catherine Quinn; Ivo Dinov; Zhizhong Liu; Petros Petrosyan; Kevin Pelphrey; Christian Haselgrove; David N Kennedy; Arthur W Toga; John Darrell Van Horn
Journal:  Brain Imaging Behav       Date:  2015-03       Impact factor: 3.978

4.  The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth.

Authors:  Theodore D Satterthwaite; John J Connolly; Kosha Ruparel; Monica E Calkins; Chad Jackson; Mark A Elliott; David R Roalf; Ryan Hopson; Karthik Prabhakaran; Meckenzie Behr; Haijun Qiu; Frank D Mentch; Rosetta Chiavacci; Patrick M A Sleiman; Ruben C Gur; Hakon Hakonarson; Raquel E Gur
Journal:  Neuroimage       Date:  2015-03-31       Impact factor: 6.556

Review 5.  Rethinking segregation and integration: contributions of whole-brain modelling.

Authors:  Gustavo Deco; Giulio Tononi; Melanie Boly; Morten L Kringelbach
Journal:  Nat Rev Neurosci       Date:  2015-06-17       Impact factor: 34.870

6.  Why share data? Lessons learned from the fMRIDC.

Authors:  John Darrell Van Horn; Michael S Gazzaniga
Journal:  Neuroimage       Date:  2012-11-13       Impact factor: 6.556

Review 7.  Diffusion magnetic resonance imaging for Brainnetome: a critical review.

Authors:  Nianming Zuo; Jian Cheng; Tianzi Jiang
Journal:  Neurosci Bull       Date:  2012-08       Impact factor: 5.203

8.  DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.

Authors:  Chao-Gan Yan; Xin-Di Wang; Xi-Nian Zuo; Yu-Feng Zang
Journal:  Neuroinformatics       Date:  2016-07

Review 9.  Characterizing variation in the functional connectome: promise and pitfalls.

Authors:  Clare Kelly; Bharat B Biswal; R Cameron Craddock; F Xavier Castellanos; Michael P Milham
Journal:  Trends Cogn Sci       Date:  2012-02-15       Impact factor: 20.229

10.  A multivariate distance-based analytic framework for connectome-wide association studies.

Authors:  Zarrar Shehzad; Clare Kelly; Philip T Reiss; R Cameron Craddock; John W Emerson; Katie McMahon; David A Copland; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2014-02-28       Impact factor: 6.556

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