Results 11 to 20 of about 1,869,163 (244)

Motor Imagery Ability and Motor Imagery Perspective Among Professional Football Players. [PDF]

open access: yesHealthcare (Basel)
Background: Motor Imagery (MI) refers to the mental simulation of movement without physical execution and activates brain areas involved in motor control.
Plakoutsis G   +4 more
europepmc   +3 more sources

Damage to fronto-parietal networks impairs motor imagery ability after stroke:A voxel-based lesion symptom mapping study. [PDF]

open access: yesFrontiers in Behavioral Neuroscience, 2016
Background: mental practice with motor imagery has been shown to promote motor skill acquisition in healthy subjects and patients. Although lesions of the common motor imagery and motor execution neural network are expected to impair motor imagery ...
Kristine eOostra   +3 more
doaj   +4 more sources

Imagining the way forward: A review of contemporary motor imagery theory

open access: yesFrontiers in Human Neuroscience, 2022
Over the past few decades, researchers have become interested in the mechanisms behind motor imagery (i.e., the mental rehearsal of action). During this time several theories of motor imagery have been proposed, offering diverging accounts of the ...
Austin J. Hurst   +6 more
doaj   +2 more sources

Characterization of kinesthetic motor imagery compared with visual motor imageries [PDF]

open access: yesScientific Reports, 2021
Motor imagery (MI) is the only way for disabled subjects to robustly use a robot arm with a brain-machine interface. There are two main types of MI.
Yu Jin Yang   +3 more
semanticscholar   +4 more sources

Motor imagery and action execution [PDF]

open access: yesErgo, an Open Access Journal of Philosophy, 2020
What triggers the execution of actions? What happens in that moment when an action is triggered? What mental state is there at the moment of action-execution that was not there a second before?
Nanay, Bence
core   +4 more sources

Cortical activity during motor execution, motor imagery, and imagery-based online feedback [PDF]

open access: yesProceedings of the National Academy of Sciences, 2010
Imagery of motor movement plays an important role in learning of complex motor skills, from learning to serve in tennis to perfecting a pirouette in ballet. What and where are the neural substrates that underlie motor imagery-based learning? We measured electrocorticographic cortical surface potentials in eight human subjects during overt action and ...
Kai J, Miller   +5 more
openaire   +4 more sources

The relationship between corticospinal excitability during motor imagery and motor imagery ability [PDF]

open access: yesBehavioural Brain Research, 2012
It is commonly reported that transcranial magnetic stimulation (TMS) of the motor cortex during action observation and motor imagery results in increases in the amplitude of motor evoked potentials (MEPs) in muscles specific to the observed or imagined action.
Williams, Jacqueline   +4 more
openaire   +6 more sources

Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery‐Based Brain–Machine Interfaces

open access: yesAdvanced Science, 2021
Motor imagery offers an excellent opportunity as a stimulus‐free paradigm for brain–machine interfaces. Conventional electroencephalography (EEG) for motor imagery requires a hair cap with multiple wired electrodes and messy gels, causing motion ...
Musa Mahmood   +11 more
semanticscholar   +3 more sources

An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing [PDF]

open access: yesIEEE International Symposium on Medical Measurements and Applications, 2020
This paper presents an accurate and robust embedded motor-imagery brain-computer interface (MI-BCI). The proposed novel model, based on EEGNet, matches the requirements of memory footprint and computational resources of low-power microcontroller units ...
Benini, Luca   +5 more
core   +2 more sources

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges

open access: yesSensors, 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   +3 more sources

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