An Effective Neurofeedback Intervention to Improve Social Interactions in Children with Autism Spectrum Disorder

被引:0
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作者
Elisabeth V. C. Friedrich
Aparajithan Sivanathan
Theodore Lim
Neil Suttie
Sandy Louchart
Steven Pillen
Jaime A. Pineda
机构
[1] University of California,Department of Cognitive Science
[2] San Diego,Institute of Mechanical, Process and Energy Engineering, School of Engineering and Physical Science
[3] Heriot-Watt University Riccarton,School of Mathematical and Computer Sciences
[4] Heriot-Watt University Riccarton,Digital Design Studio
[5] The Glasgow School of Art,undefined
关键词
Neurofeedback training (NFT); Autism spectrum disorder (ASD); Mu rhythm; EEG;
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学科分类号
摘要
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.
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页码:4084 / 4100
页数:16
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