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Connection

Jose Luis Contreras-Vidal to Electroencephalography

This is a "connection" page, showing publications Jose Luis Contreras-Vidal has written about Electroencephalography.
  1. Neural Dynamics of Creative Movements During the Rehearsal and Performance of "LiveWire". Sci Data. 2024 Nov 09; 11(1):1208.
    View in: PubMed
    Score: 0.808
  2. Mobile brain imaging in butoh dancers: from rehearsals to public performance. BMC Neurosci. 2024 Nov 06; 25(1):62.
    View in: PubMed
    Score: 0.808
  3. Electrospinography for non-invasively recording spinal sensorimotor networks in humans. J Neural Eng. 2024 01 04; 20(6).
    View in: PubMed
    Score: 0.762
  4. Regression-based reconstruction of human grip force trajectories with noninvasive scalp electroencephalography. J Neural Eng. 2019 11 06; 16(6):066030.
    View in: PubMed
    Score: 0.571
  5. Characterization and real-time removal of motion artifacts from EEG signals. J Neural Eng. 2019 Sep 17; 16(5):056027.
    View in: PubMed
    Score: 0.566
  6. Neural Decoding of Robot-Assisted Gait During Rehabilitation After Stroke. Am J Phys Med Rehabil. 2018 08; 97(8):541-550.
    View in: PubMed
    Score: 0.523
  7. Full body mobile brain-body imaging data during unconstrained locomotion on stairs, ramps, and level ground. Sci Data. 2018 07 10; 5:180133.
    View in: PubMed
    Score: 0.521
  8. Brain-machine interfaces for controlling lower-limb powered robotic systems. J Neural Eng. 2018 04; 15(2):021004.
    View in: PubMed
    Score: 0.511
  9. Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking. Sci Rep. 2017 08 21; 7(1):8895.
    View in: PubMed
    Score: 0.490
  10. A robust adaptive denoising framework for real-time artifact removal in scalp EEG measurements. J Neural Eng. 2016 Apr; 13(2):026013.
    View in: PubMed
    Score: 0.441
  11. A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants. J Vis Exp. 2015 Oct 04; (104).
    View in: PubMed
    Score: 0.430
  12. Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke. Annu Int Conf IEEE Eng Med Biol Soc. 2014; 2014:4127-4130.
    View in: PubMed
    Score: 0.381
  13. Neural decoding of treadmill walking from noninvasive electroencephalographic signals. J Neurophysiol. 2011 Oct; 106(4):1875-87.
    View in: PubMed
    Score: 0.321
  14. At-Home Stroke Neurorehabilitation: Early Findings with the NeuroExo BCI System. Sensors (Basel). 2025 Feb 21; 25(5).
    View in: PubMed
    Score: 0.206
  15. Cross-Task Differences in Frontocentral Cortical Activations for Dynamic Balance in Neurotypical Adults. Sensors (Basel). 2024 Oct 15; 24(20).
    View in: PubMed
    Score: 0.201
  16. Entropy in Electroencephalographic Signals Modulates with Force Magnitude During Grasping - A Preliminary Report. J Mot Behav. 2024; 56(6):665-677.
    View in: PubMed
    Score: 0.198
  17. Brain-machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study. J Neuroeng Rehabil. 2024 Apr 05; 21(1):48.
    View in: PubMed
    Score: 0.194
  18. Brain-to-brain communication during musical improvisation: a performance case study. F1000Res. 2022; 11:989.
    View in: PubMed
    Score: 0.188
  19. Design and Validation of a Low-Cost Mobile EEG-Based Brain-Computer Interface. Sensors (Basel). 2023 Jun 26; 23(13).
    View in: PubMed
    Score: 0.184
  20. Effects of transcutaneous spinal stimulation on spatiotemporal cortical activation patterns: a proof-of-concept EEG study. J Neural Eng. 2022 07 01; 19(4).
    View in: PubMed
    Score: 0.172
  21. Decoding neural activity preceding balance loss during standing with a lower-limb exoskeleton using an interpretable deep learning model. J Neural Eng. 2022 05 26; 19(3).
    View in: PubMed
    Score: 0.170
  22. A mobile brain-body imaging dataset recorded during treadmill walking with a brain-computer interface. Sci Data. 2018 04 24; 5:180074.
    View in: PubMed
    Score: 0.128
  23. Electrocortical correlates of human level-ground, slope, and stair walking. PLoS One. 2017; 12(11):e0188500.
    View in: PubMed
    Score: 0.125
  24. Context-dependent reduction in corticomuscular coupling for balance control in chronic stroke survivors. Exp Brain Res. 2024 Sep; 242(9):2093-2112.
    View in: PubMed
    Score: 0.049
  25. Fronto-Parietal Brain Areas Contribute to the Online Control of Posture during a Continuous Balance Task. Neuroscience. 2019 08 10; 413:135-153.
    View in: PubMed
    Score: 0.035
  26. Effects of speed and direction of perturbation on electroencephalographic and balance responses. Exp Brain Res. 2018 Jul; 236(7):2073-2083.
    View in: PubMed
    Score: 0.032
  27. Cortical activity modulations underlying age-related performance differences during posture-cognition dual tasking. Exp Brain Res. 2016 11; 234(11):3321-3334.
    View in: PubMed
    Score: 0.028
  28. Evolution of cerebral cortico-cortical communication during visuomotor adaptation to a cognitive-motor executive challenge. Biol Psychol. 2015 Feb; 105:51-65.
    View in: PubMed
    Score: 0.025
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.