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Abstract #3549

Combination of SVM & ROI Approaches for Real-Time fMRI Neurofeedback

Vadim Zotev1, Raquel Phillips1, Ruben Alvarez1, W. Kyle Simmons1, Pat Bellgowan1, Wayne Drevets1, Jerzy Bodurka1

1Laureate Institute for Brain Research, Tulsa, OK, United States

The support vector machines (SVM) approach to decode patterns of whole-brain activity can be utilized for real-time fMRI neurofeedback. We propose a combined SVM and region-of-interest (ROI) neurofeedback approach. A custom rtfMRI system was used to compute an SVM classifier and measure fMRI activation in the left amygdala ROI, and to provide neurofeedback as a variable-height bar. Three healthy male subjects were asked to feel happy so as to raise the bar. We observed that ROI-based neurofeedback improves SVM performance, while SVM-based neurofeedback increases ROI activation. Combination of these two approaches benefits both and enhances rtfMRI neurofeedback training.