Recent Advances and Challenges on Big Data Analysis in Neuroimaging

• Autore: Brian Caffo
• Pubblicazione: Frontiers Media SA, 2017
• Descrizione fisica: 1 online resource (195 p.)
• Soggetto topico: Neurosciences
• Soggetto non controllato: big data; Classification; EEG; fMRI; functional connectivity; MEG; Neuroscience; prediction
• Persona (resp. second.): Jian Kang; Han Liu
• Sommario/riassunto: 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.
• Titolo autorizzato: Recent Advances and Challenges on Big Data Analysis in Neuroimaging
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910220050403321
• Lo trovi qui: Univ. Federico II