U.S. Department of Energy

Pacific Northwest National Laboratory

Acquisition and Analysis of Functional Brain Signals

Friday, April 24, 2015
Dr. Dianne Patterson
Functional Magnetic Resonance Imaging (fMRI) has provided significant insight into the function of the human brain over the last two decades; as such, brain imaging with an emphasis on fMRI will be discussed. In the last five years computational power has improved to the point where we can move away from the traditional but limited general linear model analyses to more robust and sensitive techniques like independent component analysis, network analyses, and machine learning. These new analytical techniques promise to provide a much more sophisticated picture of human brain function.
Speaker Bio

Dr. Dianne Patterson is a Research Scientist at The University of Arizona. Dr. Patterson did her early graduate work in Mazatec highlands studying traditional medical and biological terminology. She earned her Ph.D. from the University of Arizona in 1999 (in ethology and evolutionary psychology) focusing on the acoustic and articulatory features of speech sounds in African Grey parrots. For the past 15 years she has been researching neuroimaging with a special interest in diffusion tensor and functional MRI, network analysis, and data visualization.

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