Brad Sutton, Technical Director of the Biomedical Imaging Center and Abel Bliss Faculty Scholar in the College of Engineering, will lecture on “Ultrafast functional MRI: A tool for examining spurious correlations in fMRI connectivity” at 4:00pm on Zoom. Jennifer Walters, MBM Trainee and PhD candidate in Neuroscience, will provide an introduction.
The lecture is free and open to the public courtesy of the Miniature Brain Machinery Program.
Abstract:
Functional MRI can non-invasively probe the internal communications in the brain, allowing us to map out network connectivity by looking for temporally correlated functional signals from different brain regions. However, physiological noise (cardiac pulsations and respiratory motion) along with motion of the head can cause significant signals in fMRI and lead to spurious correlations, potentially masking smaller functional signals.
Making matters worse, it has been seen that groups of people can have similar and repeatable characteristics in their motion and physiological signals during the fMRI scan, leading to reproducible group effects in functional connectivity. Finally, with widespread use of standardized imaging protocols, there may even be reproducibility in confounding correlations due to the way in which fMRI data is sampled.
In this talk, I will provide a very early look at a new technique to sample fMRI data with a very fast, whole brain 3D acquisition. I will explain how the technique works and show some example data that demonstrates a potential use to separate the sampling of physiological signals to reduce their contributions to the connectivity estimate.
Bio:
Brad Sutton is one of the core faculty of the MBM Program. He received his undergraduate degree in General Engineering from the University of Illinois at Urbana-Champaign (UIUC). He then received his MS in Electrical Engineering and Biomedical Engineering and his PhD in Biomedical Engineering from the University of Michigan. He returned to Illinois after the PhD, serving 3 years as a Research Scientist for the Biomedical Imaging Center at Beckman Institute. He joined the Department of Bioengineering at UIUC in 2006, where he is currently a Professor and the Technical Director of the Biomedical Imaging Center at Beckman Institute. He is also an affiliate of the Neuroscience Program and the Department of Electrical and Computer Engineering.
Dr. Sutton’s research is in development of magnetic resonance imaging (MRI) methods that merge acquisition and reconstruction methods to address neurophysiology targets in healthy function and aging. Using advanced image acquisition approaches coupled with image reconstruction approaches that address imperfections in the experiment, his group has been able to achieve high resolution (sub-mm isotropic) diffusion tensor imaging of the brain, high speed imaging of speech processes (3D imaging at over 150 frames per second), imaging of properties of microvascular flow in aging, and image-based mechanical biomarkers of the brain through magnetic resonance elastography. These techniques have been applied to examine the changes in the brain that accompany aging, examining the dependence on the brain microvasculature of age-related declines in brain structure and function.
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