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Give Me a Sign: Studies on the Decodability of Hand Gestures Using Activity of the Sensorimotor Cortex as a Potential Control Signal for Implanted Brain Computer Interfaces

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References

  • Andersson P, Pluim JPW, Viergever MA, Ramsey NF (2012) Navigation of a telepresence robot via covert visuospatial attention and real-time fMRI. Brain Topogr 26(1):177–185. doi:10.1007/s10548-012-0252-z

  • Birbaumer NN, Ghanayim NN, Hinterberger TT et al (1999) A spelling device for the paralysed. Nature 398:297–298. doi:10.1038/18581

    Article  Google Scholar 

  • Bleichner MG, Jansma JM, Sellmeijer J et al (2013) Give me a sign: decoding complex coordinated hand movements using high-field fMRI. Brain Topogr 27(2):248–257 doi:10.1007/s10548-013-0322-x

  • Brunner PP, Joshi SS, Briskin SS et al (2010) Does the “P300” speller depend on eye gaze? J Neural Eng 7:056013–056013. doi:10.1088/1741-2560/7/5/056013

  • Chestek CA, Gilja V, Blabe CH et al (2013) Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas. J Neural Eng 10:026002. doi:10.1088/1741-2560/10/2/026002

    Article  Google Scholar 

  • Collinger JL, Wodlinger B, Downey JE et al (2012) High-performance neuroprosthetic control by an individual with tetraplegia. Lancet. doi:10.1016/S0140-6736(12)61816-9

  • Dechent P, Frahm J (2003) Functional somatotopy of finger representations in human primary motor cortex. Hum Brain Mapp 18:272–283. doi:10.1002/hbm.10084

    Article  Google Scholar 

  • Farwell LA, Donchin E (1988) Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr Clin Neurophysiol 70:510–523

    Article  Google Scholar 

  • Guenther FH, Brumberg JS, Wright EJ et al (2009) A wireless brain-machine interface for real-time speech synthesis. PLoS ONE 4:e8218. doi:10.1371/journal.pone.0008218

    Article  Google Scholar 

  • Hermes D, Vansteensel MJ, Albers AM et al (2011) Functional MRI-based identification of brain areas involved in motor imagery for implantable brain-computer interfaces. J Neural Eng 8:025007. doi:10.1088/1741-2560/8/2/025007

    Article  Google Scholar 

  • Hermes D, Miller KJ, Vansteensel MJ et al (2012) Neurophysiologic correlates of fMRI in human motor cortex. Hum Brain Mapp 33:1689–1699. doi:10.1002/hbm.21314

    Article  Google Scholar 

  • Hochberg LR, Bacher D, Jarosiewicz B et al (2012) Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 485:372–375. doi:10.1038/nature11076

    Article  Google Scholar 

  • Hotz-Boendermaker S, Funk M, Summers P et al (2008) Preservation of motor programs in paraplegics as demonstrated by attempted and imagined foot movements. Neuroimage 39:383–394. doi:10.1016/j.neuroimage.2007.07.065

    Article  Google Scholar 

  • Kubánek J, Miller KJ, Ojemann JG et al (2009) Decoding flexion of individual fingers using electrocorticographic signals in humans. J Neural Eng 6:066001. doi:10.1088/1741-2560/6/6/066001

    Article  Google Scholar 

  • Leuthardt EC, Schalk G, Wolpaw JR et al (2004) A brain-computer interface using electrocorticographic signals in humans. J Neural Eng 1:63–71. doi:10.1088/1741-2560/1/2/001

    Article  Google Scholar 

  • Miller KJ, Zanos S, Fetz EE et al (2009) Decoupling the cortical power spectrum reveals real-time representation of individual finger movements in humans. J Neurosci 29:3132–3137. doi:10.1523/JNEUROSCI.5506-08.2009

    Article  Google Scholar 

  • Penfield W, Rasmussen T (1950) The cerebral cortex of man. By wilder penfield and theodore rasmussen. The Macmillan Company, New York, 248 pp

    Google Scholar 

  • Pistohl TT, Schulze-Bonhage AA, Aertsen AA et al (2012) Decoding natural grasp types from human ECoG. Neuroimage 59:248–260. doi:10.1016/j.neuroimage.2011.06.084

    Article  Google Scholar 

  • Siero JC, Hermes D, Hoogduin H et al (2013) BOLD consistently matches electrophysiology in human sensorimotor cortex at increasing movement rates: a combined 7T fMRI and ECoG study on neurovascular coupling. J Cereb Blood Flow Metab: Official J Int Soc Cereb Blood Flow Metab 33:1448–1456. doi:10.1038/jcbfm.2013.97

  • Sorger B, Reithler J, Dahmen B, Goebel R (2012) A real-time fMRI-based spelling device immediately enabling robust motor-independent communication. Curr Biol 22:1333–1338. doi:10.1016/j.cub.2012.05.022

    Article  Google Scholar 

  • van der Zwaag W, Francis S, Head K et al (2009) fMRI at 1.5, 3 and 7 T: characterising BOLD signal changes. Neuroimage 47:10–10. doi:10.1016/j.neuroimage.2009.05.015

  • Vansteensel MJ, Hermes D, Aarnoutse EJ et al (2010) Brain-computer interfacing based on cognitive control. Ann Neurol 67:809–816. doi:10.1002/ana.21985

    Google Scholar 

  • Wang W, Collinger JL, Degenhart AD et al (2013) An electrocorticographic brain interface in an individual with tetraplegia. PLoS ONE 8:e55344. doi:10.1371/journal.pone.0055344.s010

    Article  Google Scholar 

  • Wolpaw JR, Birbaumer N, McFarland DJ et al (2002) Brain-computer interfaces for communication and control. Clin Neurophysiol 113:767–791

    Article  Google Scholar 

  • Yousry TA, Schmid UD, Alkadhi H et al (1997) Localization of the motor hand area to a knob on the precentral gyrus. A new landmark. Brain 120(Pt 1):141–157

    Article  Google Scholar 

  • Zander TO, Kothe C (2011) Towards passive brain-computer interfaces: applying brain-computer interface technology to human-machine systems in general. J Neural Eng 8:025005–025005. doi:10.1088/1741-2560/8/2/025005

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Bleichner, M.G., Ramsey, N.F. (2014). Give Me a Sign: Studies on the Decodability of Hand Gestures Using Activity of the Sensorimotor Cortex as a Potential Control Signal for Implanted Brain Computer Interfaces. In: Guger, C., Vaughan, T., Allison, B. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-09979-8_2

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  • DOI: https://doi.org/10.1007/978-3-319-09979-8_2

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