Introduction This study will focus on Brain Computer Interface (BCI), specially its application for Cognitive Bias Modification (CBM). In regular CBMs, by presenting emotional images followed by letters, the attention is drawn toward positive faces and distracted from negative ones. Methods We developed a CBM intervention based on BCI (EEG headset) where neurofeedback system is added as feedback to enhance attention and decrease biases toward negative faces. An extra module has been provided for further attentional training by connecting a spinning device through Arduino microcontroller. This can provide an ecological feedback especially for those who cannot benefit from computer screen BCI feedback. Results The result of experiments done by the current CBM showed its efficacy in reducing anxiety, depression, and obsessivecompulsive disorder symptoms. Conclusion Therefore, a new CBM based on recent findings in cognitive science of attention and unconscious priming is introduced. This is a new approach to employ dynamic neural net-based neurofeedback system to enhance attention and decrease biases toward negative faces.
