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Recent Advances and Challenges on Big Data Analysis in Neuroimaging
Han Liu, Brian Caffo, Jian Kang
2017
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Big data is revolutionizing our ability to measure and study the human brain. New technology increases the resolution of images that are being study as well as enables researchers to study the brain as it functions. These technological advances are combined with efforts to collect neuroimaging data on large numbers of subjects, in some cases longitudinally. This combination of advances in measurement and scope of studies requires novel development in the statistical analysis. Fast, scalable, robust and accurate models and approaches need to be developed to make headway on these problems. This volume represents a unique collection of researchers providing deep insights on the statistical analysis of big neuroimaging data.
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Keywords
- big data
- Biology, Life Sciences
- Classification
- EEG
- fMRI
- functional connectivity
- Life sciences: general issues
- Mathematics & science
- MEG
- neuroscience
- Neurosciences
- prediction
- thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
Links
DOI: 10.3389/978-2-88945-128-9Editions