Neurofeedback training (NFT) approaches were investigated to improve behavior, cognition and emotion regulation in children with autism spectrum disorder (ASD). Thirteen children with ASD completed pre-/post-assessments and 16 NFT-sessions. The NFT was based on a game that encouraged social interactions and provided feedback based on imitation and emotional responsiveness. Bidirectional training of EEG mu suppression and enhancement (8-12 Hz over somatosensory cortex) was compared to the standard method of enhancing mu. Children learned to control mu rhythm with both methods and showed improvements in (1) electrophysiology: increased mu suppression, (2) emotional responsiveness: improved emotion recognition and spontaneous imitation, and (3) behavior: significantly better behavior in every-day life. Thus, these NFT paradigms improve aspects of behavior necessary for successful social interactions.
- Neurofeedback training
- Game training
- Data synchronisation
ASJC Scopus subject areas
- Cognitive Neuroscience
- Human-Computer Interaction
- Control and Systems Engineering
- Physical Therapy, Sports Therapy and Rehabilitation
- Medical Laboratory Technology
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- School of Engineering & Physical Sciences - Associate Professor
- School of Engineering & Physical Sciences, Institute of Mechanical, Process & Energy Engineering - Associate Professor
- Research Centres and Themes, Energy Academy - Associate Professor
Person: Academic (Research & Teaching)