Recent Advances and Challenges on Big Data Analysis in Neuroimaging
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...
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| Format: | Book Chapter |
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Frontiers Media SA
2017
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 01975naaaa2200349uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_57714 | ||
| 005 | 20210212 | ||
| 020 | |a 978-2-88945-128-9 | ||
| 020 | |a 9782889451289 | ||
| 024 | 7 | |a 10.3389/978-2-88945-128-9 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 100 | 1 | |a Brian Caffo |4 auth | |
| 700 | 1 | |a Jian Kang |4 auth | |
| 700 | 1 | |a Han Liu |4 auth | |
| 245 | 1 | 0 | |a Recent Advances and Challenges on Big Data Analysis in Neuroimaging |
| 260 | |b Frontiers Media SA |c 2017 | ||
| 300 | |a 1 electronic resource (195 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 653 | |a fMRI | ||
| 653 | |a Neuroscience | ||
| 653 | |a functional connectivity | ||
| 653 | |a EEG | ||
| 653 | |a Classification | ||
| 653 | |a prediction | ||
| 653 | |a big data | ||
| 653 | |a MEG | ||
| 856 | 4 | 0 | |a www.oapen.org |u http://journal.frontiersin.org/researchtopic/2860/recent-advances-and-challenges-on-big-data-analysis-in-neuroimaging |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/57714 |7 0 |z DOAB: description of the publication |