Corticospinal excitability following short-term motor imagery training of a strength task
, 2013 Motor imagery and actual movement engage similar neural structures, however, whether they produce similar training-related corticospinal adaptations has yet to be established.
Kidgell, Dawson J. +2 more
core +1 more source
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting [PDF]
, 2020 Event-related desynchronization and synchronization (ERD/S) and movement-related cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower limb rehabilitation, particularly in standing and sitting.
Autthasan, Phairot +8 more
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Motor imagery training enhances motor skill in children with DCD: A replication study [PDF]
Research in Developmental Disabilities, 2016 Children with impaired motor coordination (or DCD) have difficulty using motor imagery. We have suggested that this difficulty is explained by the internal modeling deficit (IMD) hypothesis of DCD. Our previous training study lent support for this hypothesis by showing that a computerized imagery training protocol (involving action observation, and ...
Peter H. Wilson +5 more
openaire +7 more sources
Best practice for motor imagery: a systematic literature review on motor imagery training elements in five different disciplines [PDF]
BMC Medicine, 2011 Abstract Background The literature suggests a beneficial effect of motor imagery (MI) if combined with physical practice, but detailed descriptions of MI training session (MITS) elements and temporal parameters are lacking.
Schuster, C +7 more
openaire +5 more sources
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
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An uncued brain-computer interface using reservoir computing [PDF]
, 2010 Brain-Computer Interfaces are an important and promising avenue for possible next-generation assistive devices. In this article, we show how Reservoir Comput- ing – a computationally efficient way of training recurrent neural networks – com- bined with a
Buteneers, Pieter +3 more
core
Kinesthetic and visual imagery in young adults with chronic neck pain
Sanamed, 2022 Background: Young adults complain of neck pain almost every year. In recent years the ability of motor imagery (kinesthetic and visual imagery) in many musculoskeletal system problems other than neck pain in young adults has been investigated in the ...
Ozlem Ozcan, Karaali Hayriye Kul
doaj +1 more source
Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment [PDF]
, 2015 Bringing Brain-Computer Interfaces (BCIs) into everyday life is a challenge because an out-of-lab environment implies the presence of variables that are largely beyond control of the user and the software application.
Brandl, Stephanie +3 more
core +1 more source
Motor imagery training induces changes in brain neural networks in stroke patients
Neural Regeneration Research, 2018 Motor imagery is the mental representation of an action without overt movement or muscle activation. However, the effects of motor imagery on stroke-induced hand dysfunction and brain neural networks are still unknown.
Fang Li +5 more
doaj +1 more source
Balance training reduces brain activity during motor simulation of a challenging balance task in older adults: an fMRI study [PDF]
, 2018 Aging is associated with a shift from an automatic to a more cortical postural control strategy, which goes along with deteriorations in postural stability.
Annoni, Jean-Marie +5 more
core +2 more sources