Results 71 to 80 of about 1,737,485 (397)
Neurofeedback using real-time near-infrared spectroscopy enhances motor imagery related cortical activation. [PDF]
PLoS ONE, 2012 Accumulating evidence indicates that motor imagery and motor execution share common neural networks. Accordingly, mental practices in the form of motor imagery have been implemented in rehabilitation regimes of stroke patients with favorable results ...
Masahito Mihara +10 more
doaj +1 more source
Classifying motor imagery in presence of speech [PDF]
, 2010 In the near future, brain-computer interface (BCI) applications for non-disabled users will require multimodal interaction and tolerance to dynamic environment. However, this conflicts with the highly sensitive recording techniques used for BCIs, such as
Gürkök, Hayrettin +2 more
core +4 more sources
An EEG motor imagery dataset for brain computer interface in acute stroke patients
Scientific DataThe brain-computer interface (BCI) is a technology that involves direct communication with parts of the brain and has evolved rapidly in recent years; it has begun to be used in clinical practice, such as for patient rehabilitation.
Haijie Liu +11 more
semanticscholar +1 more source
bioRxiv, 2021 In this study, we address the issue of whether vibrotactile feedback can enhance the motor cortex excitability translated into the plastic changes in local cortical areas during motor imagery (MI) BCI-based training.
N. Grigorev +8 more
semanticscholar +1 more source
Neuroscience Research, 2016 Over the last few decades, motor imagery has attracted the attention of researchers as a prototypical example of 'embodied cognition' and also as a basis for neuro-rehabilitation and brain-machine interfaces. The current definition of motor imagery is widely accepted, but it is important to note that various abilities rather than a single cognitive ...
openaire +2 more sources
EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
Italian National Conference on Sensors, 2019 Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those using motor-imagery (MI) data, have the potential to become groundbreaking technologies in both clinical and entertainment settings.
Natasha M. J. Padfield +4 more
semanticscholar +1 more source
Learning motor actions via imagery—perceptual or motor learning?
Psychological Research, 2023 It is well accepted that repeatedly imagining oneself acting without any overt behavior can lead to learning. The prominent theory accounting for why imagery practice is effective, motor simulation theory, posits that imagined action and overt action are
Cornelia Frank +3 more
semanticscholar +1 more source
Acta Neurologica BelgicaMotor imagery is a cognitive process that involves mentally simulating movements without physical execution. It has been studied in the context of foot pain to understand the role of motor cortical reorganization and its impact on motor imagery abilities.
R. Tedeschi
semanticscholar +1 more source
Dynamic Joint Domain Adaptation Network for Motor Imagery Classification
IEEE transactions on neural systems and rehabilitation engineering, 2021 Electroencephalogram (EEG) has been widely used in brain computer interface (BCI) due to its convenience and reliability. The EEG-based BCI applications are majorly limited by the time-consuming calibration procedure for discriminative feature ...
Xiaolin Hong +6 more
semanticscholar +1 more source
The modulation of motor cortex excitability during motor imagery depends on imagery quality [PDF]
European Journal of Neuroscience, 2011 AbstractMotor imagery (MI) increases corticomotor excitability and modulates intracortical inhibition. This study aimed to relate these neurophysiological mechanisms to imagery quality. Twenty‐three healthy adults participated. First, the ability to vividly and accurately imagine performing a finger‐to‐thumb opposition task was evaluated by calculating
Florent, Lebon +4 more
openaire +2 more sources