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Abstract #0318

SimulScan and Partial Least Squares: Linking speech and swallowing dynamics to brain function

Anthony Bosshardt1, Georgia A. Malandraki2, and Bradley P. Sutton1,3,4
1Carle Illinois College of Medicine, University of Illinois Urbana Champaign, Urbana, IL, United States, 2Purdue University, West Lafayette, IN, United States, 3Bioengineering, University of Illinois Urbana Champaign, Urbana, IL, United States, 4Beckman Institute for Advanced Science and Technology, University of Illinois Urbana Champaign, Urbana, IL, United States

Synopsis

Keywords: fMRI Analysis, fMRI (task based), speech, swallowing, fMRI analysis, dynamic imaging

Motivation: SimulScan enables the joint imaging of dynamic oropharyngeal movements during speech and swallowing along with their central control from functional MRI.

Goal(s): The large, complex dataset requires memory-efficient analysis to find the uncover the underlying relationships between the dynamic and functional imaging data.

Approach: Here we develop a memory-efficient implementation of partial least square (PLS) and apply it to a blocked tongue tapping task.

Results: The PLS method separates out correlated motions and brain function for different components of the task.

Impact: SimulScan with PLS analysis can enable the visualization of central control of complex processes such as speech and swallowing. This approach will enable the in-depth study of healthy and disordered speech and swallowing mechanisms in age and disease.

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Keywords