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SUMMARY:The brain at 'rest': investigating spontaneous activity in BOLD fM
 RI using Independent Component Analysis - Christian Beckmann
DTSTART:20121127T120000Z
DTEND:20121127T130000Z
UID:TALK40888@talks.cam.ac.uk
CONTACT:Mikail Rubinov
DESCRIPTION:Functional connectivity\, particularly as measured during the 
 resting-state in BOLD fMRI has become a popular approach for assessing int
 eractivity in the brain. The study of patterns of connectivity between mul
 tiple distributed regions and their associated functional dynamics has bee
 n recognised as a powerful tool in cognitive and clinical imaging neurosci
 ences. Different approaches such as seed-based analysis and Independent Co
 mponent Analysis have been used extensively to characterise the spatial pa
 tterns of resting activity\, though there exists an array of methodologica
 l and interpretative issues that remain to be resolved. In this talk we wi
 ll review the approaches most commonly employed and discuss the similariti
 es and differences across various different techniques. We will provide ex
 amples of their utility and discuss possible modes of failure.\n
LOCATION:MRC CBU lecture theatre\, 15 Chaucer Road
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