Results 51 to 60 of about 1,732,367 (353)

Mental rotation of hands and objects in ageing and Parkinson’s disease: differentiating motor imagery and visuospatial ability

Experimental Brain Research, 2022
Motor imagery supports motor learning and performance and has the potential to be a useful strategy for neurorehabilitation. However, motor imagery ability may be impacted by ageing and neurodegeneration, which could limit its therapeutic effectiveness ...
Judith Bek, S. Humphries, E. Poliakoff, N. Brady   +3 more
semanticscholar   +1 more source

Effect of motor imagery in children with unilateral cerebral palsy: fMRI study. [PDF]

PLoS ONE, 2014
BACKGROUND: Motor imagery is considered as a promising therapeutic tool for rehabilitation of motor planning problems in patients with cerebral palsy. However motor planning problems may lead to poor motor imagery ability. AIM: The aim of this functional
Eva Chinier, Sylvie N'Guyen, Grégoire Lignon, Aram Ter Minassian, Isabelle Richard, Mickaël Dinomais   +5 more
doaj   +1 more source

CTNet: a convolutional transformer network for EEG-based motor imagery classification

Scientific Reports
Brain-computer interface (BCI) technology bridges the direct communication between the brain and machines, unlocking new possibilities for human interaction and rehabilitation.
Wei Zhao, Xiaolu Jiang, Baocan Zhang, Shixiao Xiao, Sujun Weng   +4 more
semanticscholar   +1 more source

Functional Connectivity Analysis in Motor-Imagery Brain Computer Interfaces

Frontiers in Human Neuroscience, 2021
Motor Imagery BCI systems have a high rate of users that are not capable of modulating their brain activity accurately enough to communicate with the system.
Nikki Leeuwis, Sue Yoon, M. Alimardani
semanticscholar   +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, Poel, Mannes, Zwiers, Job   +2 more
core   +4 more sources

Characterization of kinesthetic motor imagery compared with visual motor imageries

Scientific 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, Eunjeong Jeon, J. Kim, C. Chung   +3 more
semanticscholar   +1 more source

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, Ichiro Miyai, Noriaki Hattori, Megumi Hatakenaka, Hajime Yagura, Teiji Kawano, Masaki Okibayashi, Nobuyoshi Danjo, Akihiro Ishikawa, Yoshihiro Inoue, Kisou Kubota   +10 more
doaj   +1 more source

Advanced aging effects on implicit motor imagery and its links to motor performance: An investigation via mental rotation of letters, hands, and feet

Frontiers in Aging Neuroscience, 2022
This study focuses on changes in implicit motor imagery during advanced aging and these changes’ co-occurrences with physical motor deficits. We administered a mental rotation (MR) task with letters, hands, and feet to 28 young adults (20–27 years) and ...
Hiroyuki Muto, Maki Suzuki, Maki Suzuki, Kaoru Sekiyama, Kaoru Sekiyama   +4 more
doaj   +1 more source

An EEG motor imagery dataset for brain computer interface in acute stroke patients

Scientific Data
The 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, Penghu Wei, Haochong Wang, Xiaodong Lv, Wei Duan, Meijie Li, Yan Zhao, Qingmei Wang, Xinyuan Chen, Gaige Shi, Bo Han, Junwei Hao   +11 more
semanticscholar   +1 more source

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

Advancement of 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, Shinjae Kwon, Hojoong Kim, Yun-Soung Kim, Panote Siriaraya, Jeongmoon J. Choi, Boris Otkhmezuri, Kyowon Kang, Ki Jun Yu, Young C. Jang, C. Ang, W. Yeo   +11 more
semanticscholar   +1 more source