[HTML][HTML] EEG, MEG and neuromodulatory approaches to explore cognition: Current status and future directions
Neural oscillations and their association with brain states and cognitive functions have been
object of extensive investigation over the last decades. Several electroencephalography …
object of extensive investigation over the last decades. Several electroencephalography …
A systematic review of investigations into functional brain connectivity following spinal cord injury
Background: Complete or incomplete spinal cord injury (SCI) results in varying degree of
motor, sensory and autonomic impairment. Long-lasting, often irreversible disability results …
motor, sensory and autonomic impairment. Long-lasting, often irreversible disability results …
EEG-based classification of lower limb motor imagery with brain network analysis
This study aims to investigate the difference in cortical signal characteristics between the left
and right foot imaginary movements and to improve the classification accuracy of the …
and right foot imaginary movements and to improve the classification accuracy of the …
Action observation training and brain-computer interface controlled functional electrical stimulation enhance upper extremity performance and cortical activation in …
SH Lee, SS Kim, BH Lee - Physiotherapy theory and practice, 2022 - Taylor & Francis
Purpose Brain-computer interface (BCI)-functional electronic stimulation (FES) systems are
increasingly being explored as potential neuro-rehabilitation tools. Here, we investigate the …
increasingly being explored as potential neuro-rehabilitation tools. Here, we investigate the …
A BCI based visual-haptic neurofeedback training improves cortical activations and classification performance during motor imagery
Z Wang, Y Zhou, L Chen, B Gu, S Liu… - Journal of neural …, 2019 - iopscience.iop.org
Objective. We proposed a brain–computer interface (BCI) based visual-haptic
neurofeedback training (NFT) by incorporating synchronous visual scene and proprioceptive …
neurofeedback training (NFT) by incorporating synchronous visual scene and proprioceptive …
Decoding motor imagery through common spatial pattern filters at the EEG source space
Brain‐Computer Interface (BCI) is a rapidly developing technology that aims to support
individuals suffering from various disabilities and, ultimately, improve everyday quality of life …
individuals suffering from various disabilities and, ultimately, improve everyday quality of life …
Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces
This work presents a classification performance comparison between different frameworks
for functional connectivity evaluation and complex network feature extraction aiming to …
for functional connectivity evaluation and complex network feature extraction aiming to …
Towards Rehabilitation Robotics: Off‐the‐Shelf BCI Control of Anthropomorphic Robotic Arms
Advances in neural interfaces have demonstrated remarkable results in the direction of
replacing and restoring lost sensorimotor function in human patients. Noninvasive brain …
replacing and restoring lost sensorimotor function in human patients. Noninvasive brain …
[HTML][HTML] Effects of Transcranial Direct Current Stimulation on Potential P300-Related Events and Alpha and Beta EEG Band Rhythms in Parkinson's Disease
Background: Parkinson's disease is one of the most common neurodegenerative disorders.
While a definitive cure for Parkinson's disease remains elusive, a range of treatments are …
While a definitive cure for Parkinson's disease remains elusive, a range of treatments are …
Dynamic characterization of functional brain connectivity network for mental workload condition using an effective network identifier
Monitoring the mental workload (MWL) condition is essential for maintaining a more
productive working environment. The study proposed an Electroencephalogram (EEG) …
productive working environment. The study proposed an Electroencephalogram (EEG) …