TY - BOOK AU - Brian Caffo AU - Jian Kang AU - Han Liu AB - 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. DO - 10.3389/978-2-88945-128-9 ID - OAPEN ID: 22979 KW - fMRI KW - Neuroscience KW - functional connectivity KW - EEG KW - Classification KW - prediction KW - big data KW - MEG L1 - http://journal.frontiersin.org/researchtopic/2860/recent-advances-and-challenges-on-big-data-analysis-in-neuroimaging LA - English LK - https://directory.doabooks.org/handle/20.500.12854/57714 PB - Frontiers Media SA PY - 2017 SN - 9782889451289 TI - Recent Advances and Challenges on Big Data Analysis in Neuroimagingnull ER -