Brain–computer interfaces (BCIs) make possible to interact with the external environment by
decoding the mental intention of individuals. BCIs can therefore be used to address basic …

Neurological disease victims may be completely paralyzed and unable to move, but they
may still be able to think. Their brain activity is the only means by which they can interact …

Objective: Relying on the idea that functional connectivity provides important insights on the
underlying dynamic of neuronal interactions, we propose a novel framework that combines …

Motor-modality-based brain computer interface (BCI) could promote the neural rehabilitation
for stroke patients. Temporal-spatial analysis was commonly used for pattern recognition in …

Brain–computer interfaces (BCI) can be designed with several feedback modalities. To
promote appropriate brain plasticity in therapeutic applications, the feedback should guide …

Real-time functional imaging of human neural activity and its closed-loop feedback enable
voluntary control of targeted brain regions. In particular, a brain-computer interface (BCI), a …

Accurate quantification of cortical engagement during mental imagery tasks remains a
challenging brain‐imaging problem with immediate relevance to developing brain …

Electroencephalography (EEG) data entail a complex spatiotemporal structure that reflects
ongoing organization of brain activity. Characterization of the spatial patterns is an …

Dealing with subjects who are unable to attain a proper level of performance, that is, those
with brain–computer interface (BCI) illiteracy or BCI inefficients, is still a major issue in …

Objective. Noninvasive brain–computer interfaces (BCIs) allow to interact with the external
environment by naturally bypassing the musculoskeletal system. Making BCIs efficient and …