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Optimizing connectome-based real-time neurofeedback for improved attentional control
Xiangrui Li1, Oyetunde Gbadeyan 1, and Ruchika Shaurya Prakash1
1Department of Psychology and Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, OH, United States
Combined connectome-based models of sustained attention and mind-wandering are representative of high and low attentional states, thus making them appropriate targets for real-time fMRI neurofeedback.
Figure 3. The correlation score difference between combined networks from both in Figures 1 and 2.
Figure 2. The correlation score difference between low mind-wandering and high mind-wandering networks. The score difference is significantly lower for the first block (p<2e-7 for Run1 and p<0.022 for Run 2), while they are not significant for later blocks.