Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those
using motor-imagery (MI) data, have the potential to become groundbreaking technologies …

Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

Acute brain ischemia causes changes in several neural networks and related cortico-
subcortical excitability, both in the affected area and in the apparently spared contralateral …

Objectives: Summarize the treatment considerations for patients with a stroke that utilize
neuroplasticity. Describe the classic imaging findings associated with diaschisis. Identify the …

Background The use of neurorobotic devices may improve gait recovery by entraining
specific brain plasticity mechanisms, which may be a key issue for successful rehabilitation …

Integration of sensory and motor information is one-step, among others, that underlies the
successful production of goal-directed hand movements necessary for interacting with our …

Neurological conditions like hemiplegia following stroke or tetraplegia following spinal cord
injury, result in a massive compromise in motor function. Each of the two conditions can …

Resting-state functional imaging has been used to study the functional reorganization of the
brain. The application of functional near-infrared spectroscopy (fNIRS) to assess resting …

Leap Motion Controller (LMC) is a virtual reality device that can be used in the rehabilitation
of central nervous system disease (CNSD) motor impairments. This review aimed to …

Current clinical practice does not leverage electroencephalography (EEG) measurements in
stroke patients, despite its potential to contribute to post-stroke recovery predictions. We …