VISE Summer Instructional Seminar 7.2.20
VISE Research In Progress (RiP)
Date: Thursday, July 2, 2020
Time: Noon – room admittance, 12:05pm remarks, 12:10pm start
Speaker #1: Ziteng Liu, PhD Candidate, Department of Electrical Engineering and Computer Science
RiP #1 Title: Patient-specific cochlear implant stimulation models
RIP #1 Description: Cochlear implants (CIs) are considered the standard-of-care treatment for profound sensory-based hearing loss. Our group has been developing image-guided CI programming techniques in order to provide objective information that can assist audiologists with CI processor programming and improve CI performance. Here, we present two recent projects in progress: (1) Patient-customized estimation of electric fields created by CIs using 3D neural networks and (2) auditory nerve fiber health estimation using patient-specific auditory nerve stimulation models.
Speaker #2: Sarah Goodale, PhD Candidate, Department of Biomedical Engineering
RiP #2 Title: fMRI-based detection of human brain alertness predicts EEG and behavioral variability
RIP #2 Description: Fluctuating levels of alertness occur in fMRI scans as patients may drift in and out of sleep causing neural variability and network changes. Current fMRI studies, however, do not explicitly investigate or model these changes in alertness. Recent work has shown that fMRI signals themselves exhibit patterns that track continuous variations in electrophysiological arousal, indicating the possibility of inferring state changes from fMRI alone. Using simultaneously recorded EEG and fMRI in human subjects performing a sensory task, we demonstrate that inferences of alertness from fMRI data alone can predict behavioral responses to incoming sensory stimuli.