Literature DB >> 29335670

Big Data and Neuroimaging.

Yenny Webb-Vargas, Shaojie Chen, Aaron Fisher, Amanda Mejia, Yuting Xu, Ciprian Crainiceanu, Brian Caffo, Martin A Lindquist.   

Abstract

Big Data are of increasing importance in a variety of areas, especially in the biosciences. There is an emerging critical need for Big Data tools and methods, because of the potential impact of advancements in these areas. Importantly, statisticians and statistical thinking have a major role to play in creating meaningful progress in this arena. We would like to emphasize this point in this special issue, as it highlights both the dramatic need for statistical input for Big Data analysis and for a greater number of statisticians working on Big Data problems. We use the field of statistical neuroimaging to demonstrate these points. As such, this paper covers several applications and novel methodological developments of Big Data tools applied to neuroimaging data.

Entities:  

Keywords:  Big data; data fusion; dynamic networks; high dimensional causal inference; high dimensional computation; high dimensional inference; neuroimaging; shrinkage

Year:  2017        PMID: 29335670      PMCID: PMC5766007          DOI: 10.1007/s12561-017-9195-y

Source DB:  PubMed          Journal:  Stat Biosci        ISSN: 1867-1764


  33 in total

1.  Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets.

Authors:  Bertrand Thirion; Guillaume Flandin; Philippe Pinel; Alexis Roche; Philippe Ciuciu; Jean-Baptiste Poline
Journal:  Hum Brain Mapp       Date:  2006-08       Impact factor: 5.038

2.  Dynamic monitoring of brain activation under visual stimulation using fMRI--the advantage of real-time fMRI with sliding window GLM analysis.

Authors:  Toshiharu Nakai; Epifanio Bagarinao; Kayako Matsuo; Yuko Ohgami; Chikako Kato
Journal:  J Neurosci Methods       Date:  2006-06-09       Impact factor: 2.390

3.  Defining functional areas in individual human brains using resting functional connectivity MRI.

Authors:  Alexander L Cohen; Damien A Fair; Nico U F Dosenbach; Francis M Miezin; Donna Dierker; David C Van Essen; Bradley L Schlaggar; Steven E Petersen
Journal:  Neuroimage       Date:  2008-03-25       Impact factor: 6.556

Review 4.  The secret lives of experiments: methods reporting in the fMRI literature.

Authors:  Joshua Carp
Journal:  Neuroimage       Date:  2012-07-10       Impact factor: 6.556

5.  Parcellating an individual subject's cortical and subcortical brain structures using snowball sampling of resting-state correlations.

Authors:  Gagan S Wig; Timothy O Laumann; Alexander L Cohen; Jonathan D Power; Steven M Nelson; Matthew F Glasser; Francis M Miezin; Abraham Z Snyder; Bradley L Schlaggar; Steven E Petersen
Journal:  Cereb Cortex       Date:  2013-03-08       Impact factor: 5.357

Review 6.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

7.  Cloak and DAG: a response to the comments on our comment.

Authors:  Martin A Lindquist; Michael E Sobel
Journal:  Neuroimage       Date:  2011-11-17       Impact factor: 6.556

Review 8.  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

9.  Spatially constrained hierarchical parcellation of the brain with resting-state fMRI.

Authors:  Thomas Blumensath; Saad Jbabdi; Matthew F Glasser; David C Van Essen; Kamil Ugurbil; Timothy E J Behrens; Stephen M Smith
Journal:  Neuroimage       Date:  2013-03-21       Impact factor: 6.556

10.  The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.

Authors:  A Di Martino; C-G Yan; Q Li; E Denio; F X Castellanos; K Alaerts; J S Anderson; M Assaf; S Y Bookheimer; M Dapretto; B Deen; S Delmonte; I Dinstein; B Ertl-Wagner; D A Fair; L Gallagher; D P Kennedy; C L Keown; C Keysers; J E Lainhart; C Lord; B Luna; V Menon; N J Minshew; C S Monk; S Mueller; R-A Müller; M B Nebel; J T Nigg; K O'Hearn; K A Pelphrey; S J Peltier; J D Rudie; S Sunaert; M Thioux; J M Tyszka; L Q Uddin; J S Verhoeven; N Wenderoth; J L Wiggins; S H Mostofsky; M P Milham
Journal:  Mol Psychiatry       Date:  2013-06-18       Impact factor: 15.992

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  1 in total

1.  MRI quality control for the Italian Neuroimaging Network Initiative: moving towards big data in multiple sclerosis.

Authors:  Loredana Storelli; Maria A Rocca; Patrizia Pantano; Elisabetta Pagani; Nicola De Stefano; Gioacchino Tedeschi; Paola Zaratin; Massimo Filippi
Journal:  J Neurol       Date:  2019-08-17       Impact factor: 4.849

  1 in total

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