Statistical Challenges in “Big Data” Human Neuroimaging

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. Smith and Nichols discuss “b...

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Bibliographic Details
Published inNeuron (Cambridge, Mass.) Vol. 97; no. 2; pp. 263 - 268
Main Authors Smith, Stephen M., Nichols, Thomas E.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 17.01.2018
Elsevier Limited
Subjects
Big Data
Brain research
Consortia
Data imaging
Genomes
Medical imaging
Neuroimaging
Studies
United Kingdom > UK
Washington DC
United States > US
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Summary: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. 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.
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ISSN:0896-6273
1097-4199
1097-4199
DOI:10.1016/j.neuron.2017.12.018