Literature DB >> 29346749

Statistical Challenges in "Big Data" Human Neuroimaging.

Stephen M Smith1, Thomas E Nichols2.   

Abstract

Smith and Nichols discuss "big data" human neuroimaging studies, with very large subject numbers and amounts of data. These studies provide great opportunities for making new discoveries about the brain but raise many new analytical challenges and interpretational risks.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2018        PMID： 29346749     DOI： 10.1016/j.neuron.2017.12.018

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


  95 in total

1.  Towards Algorithmic Analytics for Large-scale Datasets.

Authors:  Danilo Bzdok; Thomas E Nichols; Stephen M Smith
Journal:  Nat Mach Intell       Date:  2019-07-09

2.  Toward Robust Anxiety Biomarkers: A Machine Learning Approach in a Large-Scale Sample.

Authors:  Emily A Boeke; Avram J Holmes; Elizabeth A Phelps
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-06-21

3.  Patterns of sociocognitive stratification and perinatal risk in the child brain.

Authors:  Dag Alnæs; Tobias Kaufmann; Andre F Marquand; Stephen M Smith; Lars T Westlye
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-14       Impact factor: 11.205

Review 4.  Neuroimaging of individual differences: A latent variable modeling perspective.

Authors:  Shelly R Cooper; Joshua J Jackson; Deanna M Barch; Todd S Braver
Journal:  Neurosci Biobehav Rev       Date:  2019-01-03       Impact factor: 8.989

5.  Novel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and Their Comorbidity of Individuals.

Authors:  Ehsan Adeli; Natalie M Zahr; Adolf Pfefferbaum; Edith V Sullivan; Kilian M Pohl
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-03-01

6.  Tracking mood fluctuations with functional network patterns.

Authors:  Nykan Mirchi; Richard F Betzel; Boris C Bernhardt; Alain Dagher; Bratislav Mišic
Journal:  Soc Cogn Affect Neurosci       Date:  2019-01-04       Impact factor: 3.436

7.  The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds.

Authors:  Leah H Somerville; Susan Y Bookheimer; Randy L Buckner; Gregory C Burgess; Sandra W Curtiss; Mirella Dapretto; Jennifer Stine Elam; Michael S Gaffrey; Michael P Harms; Cynthia Hodge; Sridhar Kandala; Erik K Kastman; Thomas E Nichols; Bradley L Schlaggar; Stephen M Smith; Kathleen M Thomas; Essa Yacoub; David C Van Essen; Deanna M Barch
Journal:  Neuroimage       Date:  2018-08-22       Impact factor: 6.556

8.  Brain Imaging Genomics: Integrated Analysis and Machine Learning.

Authors:  Li Shen; Paul M Thompson
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2019-10-29       Impact factor: 10.961

9.  A distributed brain network predicts general intelligence from resting-state human neuroimaging data.

Authors:  Julien Dubois; Paola Galdi; Lynn K Paul; Ralph Adolphs
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-26       Impact factor: 6.237

Review 10.  Assessing inter-individual differences with task-related functional neuroimaging.

Authors:  Maël Lebreton; Sophie Bavard; Jean Daunizeau; Stefano Palminteri
Journal:  Nat Hum Behav       Date:  2019-08-26
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