Spinal plasticity with motor imagery practice [PDF]
The Journal of Physiology, 2018 Key points While a consensus has now been reached on the effect of motor imagery (MI) – the mental simulation of an action – on motor cortical areas, less is known about its impact on spinal structures. The current study, using H‐reflex conditioning paradigms, examined the effect of a 20 min MI practice on several spinal mechanisms of the plantar ...
Grosprêtre, Sidney +3 more
openaire +4 more sources
Body-specific motor imagery of hand actions: neural evidence from right- and left-handers
Frontiers in Human Neuroscience, 2009 If motor imagery uses neural structures involved in action execution, then the neural correlates of imagining an action should differ between individuals who tend to execute the action differently.
Roel M Willems +5 more
doaj +1 more source
Imajeri Mental dan Keterampilan Motorik ( Studi Meta Analisis) [PDF]
, 2010 This written provides a meta analysis review of the studies on the relationship between imagery mental and motor skill. Imagery is widely used by athletes to enhance motor skill, it was indicated as an effective tool in the improvement of motor skill ...
Hidayat, Y. (Yusup)
core
Effect of instructive visual stimuli on neurofeedback training for motor imagery-based braincomputer interface [PDF]
, 2015 Event-related desynchronization (ERD) of the electroencephalogram (EEG) from the motor cortex is associated with execution, observation, and mental imagery of motor tasks.
Hayashi, Yoshikatsu +4 more
core +1 more source
Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing
IEEE transactions on neural systems and rehabilitation engineering, 2020 The performance of motor imagery (MI) based Brain-computer interfacing (BCI) is easily affected by noise and redundant information that exists in the multi-channel electroencephalogram (EEG). To solve this problem, many temporal and spatial feature based
Jing Jin +6 more
semanticscholar +1 more source
Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network
Italian National Conference on Sensors, 2020 As an important paradigm of spontaneous brain-computer interfaces (BCIs), motor imagery (MI) has been widely used in the fields of neurological rehabilitation and robot control.
Kai Zhang +7 more
semanticscholar +1 more source
The fourth dimension: A motoric perspective on the anxiety–performance relationship [PDF]
, 2015 This article focuses on raising concern that anxiety–performance relationship theory has insufficiently catered for motoric issues during, primarily, closed and self-paced skill execution (e.g., long jump and javelin throw). Following a review of current
Carson, H.J.,, Collins, D.
core +1 more source
User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface
Frontiers in Human Neuroscience, 2018 Performance variation is a critical issue in motor imagery brain–computer interface (MI-BCI), and various neurophysiological, psychological, and anatomical correlates have been reported in the literature.
Minkyu Ahn +3 more
doaj +1 more source
The Neural Basis of Age-Related Changes in Motor Imagery of Gait: An fMRI Study [PDF]
, 2017 Background. Aging is often associated with modifications of gait. Recent studies have revealed a strong relationship between gait and executive functions in healthy and pathological aging.
Allali, Gilles +5 more
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Discriminative Tandem Features for HMM-based EEG Classification [PDF]
, 2013 —We investigate the use of discriminative feature extractors in tandem configuration with generative EEG classification system. Existing studies on dynamic EEG classification typically use hidden Markov models (HMMs) which lack discriminative capability.
Ariff, A. K. +3 more
core +3 more sources