Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the most common psychiatric disorders in children. Conventional treatments, however, off er only incomplete symptom relief for over 33% of ADHD cases. EEG biofeedback has been introduced as a sophisticated basis for highly applicable system known as the brain-computer interface (BCI). BCI bears great potentials for rehabilitation, such as augmenting human cognitive or motor functions.
The objective of this project is to train a BCI model by using EEG data recorded during subject’s training so as to achieve a good attention performance. This will include the optimization of the BCI scheme and testing its feasibility in healthy controls and children with ADHD. The subject modulates his/her own brain activities to make the BCI system classify the EEG signals based on neuro feedback principle during the training.
An efficient BCI scheme not only would be a promising way to improve the life of ADHD subjects, but also could be extended in treatment of other types of mental disabilities.
Project co-funded by Hvidovre Hospital, Radiometer and the Lundbeck Foundation