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Large scale, multi-modal datasets in magnetic resonance imaging

Dr. Jason Langley, Center for Advanced Neuroimaging, UCR
ABSTRACT –

Magnetic resonance imaging (MRI) allows for the detection structural changes due to disease or inspection of neural patterns that underlie cognition. Prior hardware and software limitations kept the dimensionality of MRI datasets low and reduced the statistical power of MRI datasets. However, recent technological advancements in MRI have allowed for the development of large scale, multi-modal datasets. In this talk, I will give a brief review of multi-modal imaging and discuss the different large scale, multi-modal MRI datasets. Applications to disease diagnosis and functional imaging will also be discussed.

Dr. Jason Langley

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