Shawn Ranieri1,2, Shaun Boe3,
Fred Tam1, Lauren Gordon4,
1Rotman Research Institute, Baycrest Centre for Geriatric Care, Toronto, ON, Canada; 2Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada; 3Toronto Rehabilitation Institute, Toronto, ON, Canada; 4Faculty of Health Sciences, Queen's University, Kingston, ON, Canada; 5Kunin-Lunenfeld Applied Research Unit , Brain Health Complex, Toronto, ON, Canada; 6Department of Kinesiology, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada; 7Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
There has been a longstanding need to develop techniques that improve data quality in fMRI by suppressing motion artifact. Head motion exceeding a few millimetres remains problematic and high interest participants including motor stroke patients often exceed this threshold. Here, a new technique is described that attempts to reduce participant head motion through visual feedback training in an fMRI simulator. Results from three stroke patients show that simulator training had a significant effect in suppressing head motion: (1) 11.25 mm before, 0.83 mm after; (2) 1.63 mm before, 0.67 mm after; (3) 4.47 mm before, 0.51 mm after.