WM motor learning can be detected using low frequency oscillations in time series functional MRI
Tory Frizzell1, Elisha Phull2, Mishaa Khan2, Jodie Gawryluk3, Xiaowei Song2, and Ryan C.N. D'Arcy4
1Engineering Science, Simon Fraser University, Surrey, BC, Canada, 2Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada, 3Psychology, University of Victoria, Victoria, BC, Canada, 4Computing Science, Simon Fraser University, Surrey, BC, Canada
White matter functional neuroplasticity can be detected by a
decrease in the amplitude of low frequency oscillations of BOLD fMRI during motor
learning.
Figure 1: Group average LFO amplitudes for
baseline (T01) and endpoint (T03) for each frequency band in WM ROIs. Across
all ROIs and frequency bands a decreased in average amplitude was detected for
the low frequency neural oscillations.
Table 1: Heteroskedastic linear mixed-effects
model ROI fixed effect results demonstrating significant decreased in LFO
average amplitudes between baseline and endpoint