Abstract Brain-Computer Interfaces (BCI) is an exciting and emerging research area for
researchers and scientists. It is a suitable combination of software and hardware to operate …

Background: Intermittent theta burst stimulation (iTBS) creates a state with increased
excitability that permits treatment modalities to induce neuroplasticity and motor learning …

Experiments show activation of the left dorsolateral prefrontal cortex (DLPFC) in motor
imagery (MI) tasks, but its functional role requires further investigation. Here, we address this …

Recent studies show that during a simple movement imagery task, the power of
sensorimotor rhythms differs according to handedness. However, the effects of motor …

Visual imagery, ie, seeing in the absence of the corresponding retinal input, has been linked
to visual and motor processing areas of the brain. Music listening provides an ideal vehicle …

Brain activations elicited during motor imagery (MI) in experts are typically reduced
compared to novices, which is interpreted as a neurophysiological correlate of increased …

Investigating neural mechanisms of anesthesia process and developing efficient
anesthetized state detection methods are especially on high demand for clinical …

The effectiveness of motor imagery (MI) training on sports performance is now well-
documented. Recently, it has been proposed that a single session of MI combined with low …

Motor imagery (MI)-based brain-computer interface (BCI) systems detect electrical brain
activity patterns through electroencephalogram (EEG) signals to forecast user intention …

For motor imagery (MI) to be effective, an internal representation of the to-be-imagined
movement may be required. A representation can be achieved through prior motor …