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 *

174 related articles for article (PubMed ID: 34507311)

  • 1. Imagined speech increases the hemodynamic response and functional connectivity of the dorsal motor cortex.
    Si X; Li S; Xiang S; Yu J; Ming D
    J Neural Eng; 2021 Oct; 18(5):. PubMed ID: 34507311
    [No Abstract]   [Full Text] [Related]  

  • 2. Decoding lexical tones and vowels in imagined tonal monosyllables using fNIRS signals.
    Guo Z; Chen F
    J Neural Eng; 2022 Nov; 19(6):. PubMed ID: 36317255
    [No Abstract]   [Full Text] [Related]  

  • 3. A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching.
    Yin X; Xu B; Jiang C; Fu Y; Wang Z; Li H; Shi G
    J Neural Eng; 2015 Jun; 12(3):036004. PubMed ID: 25834118
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Effects of Different Brain Regions on fNIRS-based Task-state Detection in Speech Imagery.
    Zhang H; Guo Z; Chen F
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083588
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Bimodal Deep Learning Architecture for EEG-fNIRS Decoding of Overt and Imagined Speech.
    Cooney C; Folli R; Coyle D
    IEEE Trans Biomed Eng; 2022 Jun; 69(6):1983-1994. PubMed ID: 34874850
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Effective Connectivity of Cortical Sensorimotor Networks During Finger Movement Tasks: A Simultaneous fNIRS, fMRI, EEG Study.
    Anwar AR; Muthalib M; Perrey S; Galka A; Granert O; Wolff S; Heute U; Deuschl G; Raethjen J; Muthuraman M
    Brain Topogr; 2016 Sep; 29(5):645-60. PubMed ID: 27438589
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of Overt and Covert Speech for Near-Infrared Spectroscopy-Based Brain Computer Interface.
    Kamavuako EN; Sheikh UA; Gilani SO; Jamil M; Niazi IK
    Sensors (Basel); 2018 Sep; 18(9):. PubMed ID: 30205476
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Decoding Articulation Motor Imagery using Early Connectivity Information in the Motor Cortex: A Functional Near-infrared Spectroscopy Study.
    Guo Z; Chen F
    IEEE Trans Neural Syst Rehabil Eng; 2022 Dec; PP():. PubMed ID: 37015470
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Impacts of simplifying articulation movements imagery to speech imagery BCI performance.
    Guo Z; Chen F
    J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36630714
    [No Abstract]   [Full Text] [Related]  

  • 10. Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG.
    Kaiser V; Bauernfeind G; Kreilinger A; Kaufmann T; Kübler A; Neuper C; Müller-Putz GR
    Neuroimage; 2014 Jan; 85 Pt 1():432-44. PubMed ID: 23651839
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cortical activation pattern for grasping during observation, imagery, execution, FES, and observation-FES integrated BCI: an fNIRS pilot study.
    An J; Jin SH; Lee SH; Jang G; Abibullaev B; Lee H; Moon JI
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6345-8. PubMed ID: 24111192
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Speaking mode recognition from functional Near Infrared Spectroscopy.
    Herff C; Putze F; Heger D; Guan C; Schultz T
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1715-8. PubMed ID: 23366240
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detection of motor execution using a hybrid fNIRS-biosignal BCI: a feasibility study.
    Zimmermann R; Marchal-Crespo L; Edelmann J; Lambercy O; Fluet MC; Riener R; Wolf M; Gassert R
    J Neuroeng Rehabil; 2013 Jan; 10():4. PubMed ID: 23336819
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Relative Contribution of High-Gamma Linguistic Processing Stages of Word Production, and Motor Imagery of Articulation in Class Separability of Covert Speech Tasks in EEG Data.
    Jahangiri A; Sepulveda F
    J Med Syst; 2018 Dec; 43(2):20. PubMed ID: 30564961
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hemodynamic responses during standing and sitting activities: a study toward fNIRS-BCI.
    Almulla L; Al-Naib I; Althobaiti M
    Biomed Phys Eng Express; 2020 Jul; 6(5):055005. PubMed ID: 33444236
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Real-time recognition of different imagined actions on the same side of a single limb based on the fNIRS correlation coefficient.
    Fu Y; Wang F; Li Y; Gong A; Qian Q; Su L; Zhao L
    Biomed Tech (Berl); 2022 Jun; 67(3):173-183. PubMed ID: 35420003
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Neural Decoding of Imagined Speech and Visual Imagery as Intuitive Paradigms for BCI Communication.
    Lee SH; Lee M; Lee SW
    IEEE Trans Neural Syst Rehabil Eng; 2020 Dec; 28(12):2647-2659. PubMed ID: 33232243
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Decoding covert speech for intuitive control of brain-computer interfaces based on single-trial EEG: a feasibility study.
    Tottrup L; Leerskov K; Hadsund JT; Kamavuako EN; Kaseler RL; Jochumsen M
    IEEE Int Conf Rehabil Robot; 2019 Jun; 2019():689-693. PubMed ID: 31374711
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Feasibility of decoding covert speech in ECoG with a Transformer trained on overt speech.
    Komeiji S; Mitsuhashi T; Iimura Y; Suzuki H; Sugano H; Shinoda K; Tanaka T
    Sci Rep; 2024 May; 14(1):11491. PubMed ID: 38769115
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Application of a common spatial pattern-based algorithm for an fNIRS-based motor imagery brain-computer interface.
    Zhang S; Zheng Y; Wang D; Wang L; Ma J; Zhang J; Xu W; Li D; Zhang D
    Neurosci Lett; 2017 Aug; 655():35-40. PubMed ID: 28663052
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.