Tuesday 21 March 2017

Methods for the Analysis of Missing Data in FMRI Studies

Functional neuroimaging has provided fundamental advances in our understanding of human brain function and is increasingly used clinically for defining atypical function and surgical planning. For example, functional imaging with blood oxygenation level dependent (BOLD) contrast as a response measure is used as a clinical tool for defining atypical development, pathology, surgical planning, and evaluating treatment outcomes. 

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Despite years of statistical advances in the analysis of complete whole brain data, there has been a limited statistical advance toaddress the pronounced missingness in many functional imaging studies that uselarge discovery or small clinical case data. For example, functional magnetic resonance imaging (fMRI) analyses do not always include the entire brain due to image acquisition space limitations and susceptibility artifacts (a loss and spatial distortion of signal that results from a disruption in the magnetic field). 

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