Brain-body Dynamics and Neurofeedback

Abstract

A closed loop formed of brain and body is understood as a dynamical system. Because it can generate informative and specific spatiotemporal patterns under the resting state condition where no sensory input, movements or cognitive tasks exist, the loop is implied to be an autonomous dynamical system. Functional connectivity analysis for resting state fMRI data revealed a disorder-specific abnormality of functional connections. Artificial intelligence techniques enabled development of disorder-specific classifier or biomarker that can generalize to external validation datasets. By combining such biomarkers and decoding techniques with fMRI real-time neurofeedback methods, sophisticated neurofeedback interventions can be developed as future generation therapies for mental and developmental disorders.