Background Hand rehabilitation is core to hel** stroke survivors regain activities of daily
living. Recent studies have suggested that the use of electroencephalography-based brain …

While it is well documented that the motor system is more than a mere implementer of motor
actions, the possible applications of its cognitive side are still under-exploited, often …

Objective: This randomized controlled feasibility study investigates the ability for clinical
application of the Brain-Computer Interface-based Soft Robotic Glove (BCI-SRG) …

Background Upper extremity dysfunction after stroke is an urgent clinical problem that
greatly affects patients' daily life and reduces their quality of life. As an emerging …

The recovery of motor functions after stroke is fostered by the functional integration of large-
scale brain networks, including the motor network (MN) and high-order cognitive controls …

In clinical scenarios, the use of biomedical sensors, devices and multi-parameter
assessments is fundamental to provide a comprehensive portrait of patients' state, in order to …

Purpose Many recent clinical studies have suggested that the combination of brain–
computer interfaces (BCIs) can induce neurological recovery and improvement in motor …

Purpose The purpose of the present study was to explore the longitudinal changes in
functional homotopy in the default mode network (DMN) and motor network and its …

Background Neurofeedback training is a closed-loop neuromodulatory technique in which
real-time feedback of brain activity and connectivity is provided to the participant for the …

Objectives Numbers of research have reported the usage of robot-assisted gait training for
walking restoration post-stroke. However, no consistent conclusion has been reached yet …