These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

456 related articles for article (PubMed ID: 25788102)

  • 1. Predicting Inter-session Performance of SMR-Based Brain-Computer Interface Using the Spectral Entropy of Resting-State EEG.
    Zhang R; Xu P; Chen R; Li F; Guo L; Li P; Zhang T; Yao D
    Brain Topogr; 2015 Sep; 28(5):680-690. PubMed ID: 25788102
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Neurophysiological predictors and spectro-spatial discriminative features for enhancing SMR-BCI.
    Robinson N; Thomas KP; Vinod AP
    J Neural Eng; 2018 Dec; 15(6):066032. PubMed ID: 30277219
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Week-long visuomotor coordination and relaxation trainings do not increase sensorimotor rhythms (SMR) based brain-computer interface performance.
    Botrel L; Kübler A
    Behav Brain Res; 2019 Oct; 372():111993. PubMed ID: 31163204
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Reduce brain computer interface inefficiency by combining sensory motor rhythm and movement-related cortical potential features.
    Liu T; Huang G; Jiang N; Yao L; Zhang Z
    J Neural Eng; 2020 Jun; 17(3):035003. PubMed ID: 32380494
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Investigating the effects of a sensorimotor rhythm-based BCI training on the cortical activity elicited by mental imagery.
    Toppi J; Risetti M; Quitadamo LR; Petti M; Bianchi L; Salinari S; Babiloni F; Cincotti F; Mattia D; Astolfi L
    J Neural Eng; 2014 Jun; 11(3):035010. PubMed ID: 24835634
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The effect of multimodal and enriched feedback on SMR-BCI performance.
    Sollfrank T; Ramsay A; Perdikis S; Williamson J; Murray-Smith R; Leeb R; Millán JDR; Kübler A
    Clin Neurophysiol; 2016 Jan; 127(1):490-498. PubMed ID: 26138148
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface.
    Acqualagna L; Botrel L; Vidaurre C; Kübler A; Blankertz B
    PLoS One; 2016; 11(2):e0148886. PubMed ID: 26891350
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The predictive role of pre-cue EEG rhythms on MI-based BCI classification performance.
    Bamdadian A; Guan C; Ang KK; Xu J
    J Neurosci Methods; 2014 Sep; 235():138-44. PubMed ID: 24979726
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Motor Imagery EEG Classification for Patients with Amyotrophic Lateral Sclerosis Using Fractal Dimension and Fisher's Criterion-Based Channel Selection.
    Liu YH; Huang S; Huang YD
    Sensors (Basel); 2017 Jul; 17(7):. PubMed ID: 28671629
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Neurophysiological predictor of SMR-based BCI performance.
    Blankertz B; Sannelli C; Halder S; Hammer EM; Kübler A; Müller KR; Curio G; Dickhaus T
    Neuroimage; 2010 Jul; 51(4):1303-9. PubMed ID: 20303409
    [TBL] [Abstract][Full Text] [Related]  

  • 11. On the feasibility of using motor imagery EEG-based brain-computer interface in chronic tetraplegics for assistive robotic arm control: a clinical test and long-term post-trial follow-up.
    Onose G; Grozea C; Anghelescu A; Daia C; Sinescu CJ; Ciurea AV; Spircu T; Mirea A; Andone I; Spânu A; Popescu C; Mihăescu AS; Fazli S; Danóczy M; Popescu F
    Spinal Cord; 2012 Aug; 50(8):599-608. PubMed ID: 22410845
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Performance of motor imagery brain-computer interface based on anodal transcranial direct current stimulation modulation.
    Wei P; He W; Zhou Y; Wang L
    IEEE Trans Neural Syst Rehabil Eng; 2013 May; 21(3):404-15. PubMed ID: 23475381
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network.
    Zhang T; Liu T; Li F; Li M; Liu D; Zhang R; He H; Li P; Gong J; Luo C; Yao D; Xu P
    Neuroimage; 2016 Jul; 134():475-485. PubMed ID: 27103137
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficient resting-state EEG network facilitates motor imagery performance.
    Zhang R; Yao D; Valdés-Sosa PA; Li F; Li P; Zhang T; Ma T; Li Y; Xu P
    J Neural Eng; 2015 Dec; 12(6):066024. PubMed ID: 26529439
    [TBL] [Abstract][Full Text] [Related]  

  • 15. What External Variables Affect Sensorimotor Rhythm Brain-Computer Interface (SMR-BCI) Performance?
    Horowitz AJ; Guger C; Korostenskaja M
    HCA Healthc J Med; 2021; 2(3):143-162. PubMed ID: 37427002
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessing motor imagery in brain-computer interface training: Psychological and neurophysiological correlates.
    Vasilyev A; Liburkina S; Yakovlev L; Perepelkina O; Kaplan A
    Neuropsychologia; 2017 Mar; 97():56-65. PubMed ID: 28167121
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting Motor Imagery BCI Performance Based on EEG Microstate Analysis.
    Cui Y; Xie S; Fu Y; Xie X
    Brain Sci; 2023 Sep; 13(9):. PubMed ID: 37759889
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.
    Hsu WY
    Int J Neural Syst; 2015 Dec; 25(8):1550037. PubMed ID: 26584583
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A transfer learning-based feedback training motivates the performance of SMR-BCI.
    Duan X; Xie S; Lv Y; Xie X; Obermayer K; Yan H
    J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36577144
    [No Abstract]   [Full Text] [Related]  

  • 20. The effects of handedness on sensorimotor rhythm desynchronization and motor-imagery BCI control.
    Zapała D; Zabielska-Mendyk E; Augustynowicz P; Cudo A; Jaśkiewicz M; Szewczyk M; Kopiś N; Francuz P
    Sci Rep; 2020 Feb; 10(1):2087. PubMed ID: 32034277
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.