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Thursday, May 25th (9:00am-4:00pm)
& Friday, May 26th (9:00am-12:00pm)

Evans Conference Room, WEB 3780

Scientific Computing & Imaging (SCI) Institute, University of Utah

Workshop Registration

For questions or concerns, please contact: Kara Johnson (This email address is being protected from spambots. You need JavaScript enabled to view it.) or Chris Butson (This email address is being protected from spambots. You need JavaScript enabled to view it.)

 


Thursday, May 25
Morning Session (Evans Conference Room, WEB 3780)
Time Speaker Topic
9:00 AM Chris Butson, PhD Welcome
Brian Mickey, MD, PhD Vision for the new University of Utah TMS Facility
Chris Johnson, PhD Introduction to the Center for Integrative Biomedical Computing
9:20 AM Collin Anderson, PhD; Matt Euler, PhD; Joseph Kim, PhD; Howard Weeks; MD, Perry Renshaw, MD, PhD, MBA
5-min TMS Research Presentations
10:00 AM Brian Goodwin, PhD TMS Overview - Current Research and Applications
Brian Goodwin, PhD Introduction to Electromagnetism and the Brain
Brian Goodwin, PhD TMS Equipment, Parameters/Protocols, and Data Collection
10:30 AM Break
10:45 AM Jeff Anderson, MD, PhD Multimodal Imaging and the Human Connectome Scanner
11:10 AM Brian Goodwin, PhD Post-TMS Analysis: Image-based Modeling
11:35 AM Chris Butson, PhD Case Study: Use of Neuronavigation in Analysis of TMS for Depression
12:00 PM Lunch & Panel Discussion
(Perry Renshaw, MD, PhD, MBA; Brian Goodwin, PhD; Brian Mickey, MD, PhD; Chris Butson, PhD)
TMS Study Design, IRB Approvals, Grant Submissions
Afternoon Sessions (2nd Floor Computer Lab, WEB 2750)
Time Speaker Topic
1:00 PM Brian Goodwin, PhD & SCI Institute Members
Software and TMS Data Analysis Demos
Will Cuthbert (ANT Neuro Representative) TMS Equioment and Neuronavigation Software Demo
4:00 PM Adjourn
Friday, May 26
Morning Session (Evans Conference Room, WEB 3780)
Time Speaker Topic
9:00 AM Chris Butson, PhD Welcome
9:05 AM Brian Goodwin, PhD TMS Analysis Pipeline
9:20 AM Johannes Vorwerk, PhD Imaging Protocol/Pipeline for Image Analysis
9:35 AM Gordon Duffley Image Registration Methods for Brain Atlas Generation
9:50 AM Kara Johnson Cross-Subject Cortical Alignment: Surface-Based Registration
10:05 AM Jess Tate SCIRun5 Tools
10:20 AM Andrew Janson Interactive Meshing in SCIRun
10:35 AM All Discussion
11:45 AM Chris Butson, PhD
Closing Remarks
12:00 PM Adjourn

Workshop Goals

  • Introduce scientists and clinicians at the University of Utah who currently use or plan to use TMS in their research.
  • Educate users on TMS analysis methods, particularly those that take advantage of MRI + neuronavigation-guided TMS with simultaneous electroencephalography (EEG).
  • Assess the hardware and instrumentation needs of TMS researchers on campus.
  • Discuss programmatic needs including assistance with study design and Institutional Review Board (IRB) applications.

 

Featured Speaker

professionalPic zoomDr. Brian Goodwin

Dr. Goodwin received a BS in Mechanical Engineering from Milwaukee School of Engineering and a PhD in Biomedical Engineering from Marquette University. He has extensive experience in computational modeling of biomechanics and bioelectric fields. One area of his research has specifically focused on patient-specific computational modeling of TMS using medical imaging and neuronavigation data. The broad goal of this research is to predict and visualize the effects of TMS based on device characteristics and neurophysiological outcomes. Currently, he is a Data Scientist at a Milwaukee-based firm as well as a consultant for medical device companies.

 


Transcranial Magnetic Stimulation

Transcranial Magnetic Stimulation (TMS) is a widely used method to achieve neuromodulation by making use of a rapidly varying magnetic field, which induces electric current flow in the cerebral cortex. TMS has gained popularity because it is both non-invasive and has been shown to be effective for a variety of disorders such as tinnitus, fibromyalgia, dystonia, and depression. By virtue of its non-invasive approach, TMS does not have the same risks as invasive modes of neuromodulation such as deep brain stimulation or cortical electrical stimulation. However, while the physics of TMS are well-known, an explanation of the precise modulatory mechanisms remains elusive. Additionally, patient responses to TMS are variable, and the desired neural response is difficult to effectuate.

This workshop is sponsored by the Center for Integrative Biomedical Computing (CIBC) (NIH P41 GM103545-18)