Introduction Inter- and intra-subject variability are caused by the variability of the psychological and neurophysiological factors over time and across subjects. In the application of in Brain-Computer Interfaces (BCI), the existence of inter- and …
Determining and decoding emotional brain processes under ecologically valid conditions remains a key challenge in affective neuroscience. The current functional Magnetic Resonance Imaging (fMRI) based emotion decoding studies are mainly based on …
EEG neurofeedback using frontal alpha asymmetry (FAA) has been widely used for emotion regulation, but its effectiveness is controversial. Studies indicated that individual differences in neurofeedback training can be traced to neuroanatomical and …
Neural indicators of pain discriminability have far-reaching theoretical and clinical implications but have been largely overlooked previously. Here, to directly identify the neural basis of pain discriminability, we apply signal detection theory to …
Introduction EEG microstates have been widely adopted to understand the complex and dynamic-changing process in dynamic brain systems, but how microstates are temporally modulated by emotion dynamics is still unclear. An investigation of EEG …
Brain-Computer Interfaces (BCIs) allow users to make use of brain activity to control external devices directly for rehabilitation and enhancement of human functions. However, the inefficiency problem that a typical BCI system is unable to …
Steady State Evoked Potential (SSEP) has been widely used in the clinical sensory diagnosis and brain computer interface. Through rapid repetitive stimulation, the response of SSEP mainly concentrated on primary sensory areas of the brain, and the …
Compared with the conventional self-regulated EEG neurofeedback strategy, a closed-loop feedback strategy can provide a more precise and robust brain wave modulation. By detecting a participant's instantaneous phase of EEG alpha oscillation and …
The neural oscillation in electroencephalogram (EEG) signals is highly related to people's psychological cognitive ability. In this work, an OpenBCI version of phase-locked feedback control system has been implemented for real time alpha wave …
Independent Component Analysis (ICA) has became the most popular method to remove eye-blinking artifacts from electroencephalogram (EEG) recording. For long term EEG recording, ICA was commonly considered to costing a lot of computation time. …