Results 71 to 80 of about 96,332 (312)

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

Closed‐Loop Decoding and Intervention of Pain: A Novel BMI Strategy Integrating θ‐Band Detection and Mechano‐Electro‐Biological Coupled Hydrogels

Advanced Science, EarlyView.
A closed‐loop brain–machine interface with a PFAPT hydrogel electrode identifies prefrontal θ‐band as a neuropathic pain biomarker. The hydrogel enables stable 28 d ECoG recording and delivers θ‐triggered cortical stimulation, alleviating pain and affective behaviors in rats via bidirectional regulation of inflammation and central sensitization ...
Yun Ji, Tao Li, Guoqiang Lei, Huichun Luo, Xiuqian Guo, Jiao Xiang, Tao Shi, Weitang Liu, Yuxin Zhang, Xiaoyu Liao, Shutao Zhao, Jiayun Wu, Wangao Zhang, Wenhui Liu, Chuanglong He, Shuo Chen, Tao Wu, Ke Ma   +17 more
wiley   +1 more source

Adult electroencephalography: basic knowledge for nurses

Journal of Health Science and Medical Research (JHSMR), 2006
Electroencephalography (EEG) is a special investigation used to evaluate brain disorders along with history taking and physical examination. Basic knowledge regarding adult EEG is important to nurses for advising patients before performing EEG.
M Vittayakittipong
doaj  

BEAPP: The Batch Electroencephalography Automated Processing Platform

Frontiers in Neuroscience, 2018
Electroencephalography (EEG) offers information about brain function relevant to a variety of neurologic and neuropsychiatric disorders. EEG contains complex, high-temporal-resolution information, and computational assessment maximizes our potential to ...
April R. Levin, April R. Levin, Adriana S. Méndez Leal, Laurel J. Gabard-Durnam, Heather M. O’Leary, Heather M. O’Leary   +5 more
doaj   +1 more source

Multichannel EEG : towards applications in clinical neurology. [PDF]

, 2008
Electroencephalogram (EEG) measures the electric activity produced by the brain with electrodes placed on the scalp. It is used for monitoring or as diagnostic tool for neurological disorders. In practice a maximum of 21 electrodes are generally used for
Wassenberg, Wilhelmina Johanna Gerarda van de, Wassenberg, Wilhelmina Johanna Gerarda van de,   +1 more
core  

A study on the possible usefulness of detrended fluctuation analysis of the electroencephalogram background activity in Alzheimer's disease [PDF]

, 2008
We studied the EEG background activity of Alzheimer's disease (AD) patients with detrended fluctuation analysis (DFA). DFA provides an estimation of the scaling information and long-range correlations in time series. We recorded the EEG in 11 AD patients
Abasolo, Daniel, Espino, Pedro, Hornero, Roberto, Escudero, Javier; id_orcid   +3 more
core   +1 more source

Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy

Advanced Science, EarlyView.
A multiscale precision‐mapping framework reveals that memory impairment in temporal lobe epilepsy arises from the convergence of focal medial temporal pathology, strategic white matter disconnection, and limbic‐centered metabolic network dysfunction.
Jiajie Mo, Qiwen Yuan, Pengfei Zhang, Lin Sang, Zhong Zheng, Baotian Zhao, Xiu Wang, Chao Zhang, Wenhan Hu, Xiaoqiu Shao, Jianguo Zhang, Ruijin Yang, Kai Zhang   +12 more
wiley   +1 more source

Cross-subject emotional EEG recognition based on multi-source domain adaptation

智能科学与技术学报, 2021
During the recognition of emotion based on electroencephalography (EEG) signals, traditional machine learning and deep learning methods cannot establish a general classification and detection model for EEG data due to the differences in EEG signals among
Hanbing GAO, Chi ZHANG, Mingyan JIN, Yang XIAO, Fengyu CONG   +4 more
doaj  

Event-related potential: An overview

Industrial Psychiatry Journal, 2009
Electroencephalography (EEG) provides an excellent medium to understand neurobiological dysregulation, with the potential to evaluate neurotransmission.
Shravani Sur, V K Sinha
doaj   +1 more source

Real-time Stage 1 Sleep Detection and Warning System Using a Low-Cost EEG Headset [PDF]

, 2013
The goal of this thesis is to design and test a real-time Stage 1 sleep detection and warning system using a low-cost single dry-sensor EEG headset. Such a system would allow aircraft pilots or truck drivers to receive an auditory warning when they are ...
Van Hal, Bryan
core   +1 more source