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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...

Täydet tiedot

Tallennettuna:
Päätekijät: Brian Caffo, Jian Kang, Han Liu
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: Frontiers Media SA 2021
Aiheet:
RC321-571
Q1-390
fMRI
Neuroscience
functional connectivity
EEG
Classification
prediction
big data
MEG
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
Linkit:22979
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Yhteenveto: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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