Imagination can appeal to all our senses and may, therefore, manifest in very different
qualities (eg, visual, tactile, proprioceptive, or kinesthetic). One line of research addresses …

Researchers from multiple disciplines have studied the simulation of actions through motor
imagery, action observation, or their combination. Procedures used in these studies vary …

With the popularity of deep learning, motor imagery electroencephalogram (MI-EEG)
recognition based on feature extractors and classifiers has performed well. However, the …

The application of brain-computer interface (BCI) has always been limited by low decoding
accuracy due to excessive noise in electroencephalogram (EEG) signals. The traditional …

The second leading cause of death and one of the most common causes of disability in the
world is stroke. Researchers have found that brain–computer interface (BCI) techniques can …

Motor Imagery is a subject of longstanding scientific interest. However, critical details of
motor imagery protocols are not always reported in full, hampering direct replication and …

Background This paper presents a study investigating the recognizability of multiple
unilateral upper limb movements in stroke rehabilitation. Methods: A functional magnetic …

Objective. Kinesthetic Motor Imagery (KMI) represents a robust brain paradigm intended for
electroencephalography (EEG)-based commands in brain-computer interfaces (BCIs) …

This study aimed to answer the questions 'What are the neural networks and mechanisms
involved in visual and kinesthetic motor imagery?', and 'Is part of cognitive processing …

Consistent evidence suggests that motor imagery involves the activation of several
sensorimotor areas also involved during action execution, including the dorsal premotor …