Accès gratuit
Numéro
Med Sci (Paris)
Volume 31, Numéro 10, Octobre 2015
Page(s) 904 - 911
Section M/S Revues
DOI https://doi.org/10.1051/medsci/20153110017
Publié en ligne 19 octobre 2015
  1. Posner JP, Saper CB, Schiff ND, Plum F. Plum and Posner’s stupor and coma. New York : Oxford University Press, 2007 : 400 p. [Google Scholar]
  2. Bruno MA, Vanhaudenhuyse A, Thibaut A, et al. From unresponsive wakefulness to minimally conscious plus and functional locked-in syndromes: recent advances in our understanding of disorders of consciousness. J Neurol 2011 ; 258 : 1373–1384. [CrossRef] [PubMed] [Google Scholar]
  3. Giacino JT, Ashwal S, Childs N, et al. The minimally conscious state: definition and diagnostic criteria. Neurology 2002 ; 58 : 349–353. [CrossRef] [PubMed] [Google Scholar]
  4. Bruno MA, Majerus S, Boly M, et al. Functional neuroanatomy underlying the clinical subcate- gorization of minimally conscious state patients. J Neurol 2011 ; 259 : 1087–1098. [CrossRef] [PubMed] [Google Scholar]
  5. Laureys S, Perrin F, Schnakers C, et al. Residual cognitive function in comatose, vegetative and minimally conscious states. Curr Opin Neurol 2005 ; 18 : 726–733. [CrossRef] [PubMed] [Google Scholar]
  6. Majerus S, Gill-Thwaites H, Andrews K, Laureys S. Behavioral evaluation of consciousness in severe brain damage. Prog Brain Res 2005 ; 150 : 397413. [Google Scholar]
  7. Majerus S, Bruno MA, Schnakers C, et al. The problem of aphasia in the assessment of consciousness in brain-damaged patients. Prog Brain Res 2009 ; 177 : 49–61. [CrossRef] [PubMed] [Google Scholar]
  8. Lovstad M, Froslie KF, Giacino JT, et al. Reliability and diagnostic characteristics of the JFK coma recovery scale- revised: exploring the influence of rater’s level of experience. J Head Trauma Rehabil 2010 ; 25 : 349–356. [CrossRef] [PubMed] [Google Scholar]
  9. Schnakers C, Vanhaudenhuyse A, Giacino JT, et al. Diagnostic accuracy of the vegetative and minimally conscious state: clinical consensus versus standardized neuro-behavioral assessment. BMC Neurol 2009 ; 9 : 35. [CrossRef] [PubMed] [Google Scholar]
  10. Thonnard M, Boly M, Bruno MA, et al. La neuro-imagerie : un outil diagnostique des états de conscience altérée. Med Sci (Paris) 2011 ; 27 : 77–81. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  11. Wolpaw JR, Birbaumer N, McFarland DJ, et al. Brain-computer interfaces for communication and control. Clin Neurophysiol 2002 ; 113 : 767–791. [Google Scholar]
  12. Boly M, Coleman MR, Hampshire A, et al. When thoughts become action: an fmri paradigm to study volitional brain activity in non-communicative brain injured patients. Neuroimage 2007 ; 36 : 979–992. [CrossRef] [PubMed] [Google Scholar]
  13. Monti MM, Vanhaudenhuyse A, Coleman MR, et al. Willful modulation of brain activity in disorders of consciousness. N Engl J Med 2010 ; 362 : 579–589. [CrossRef] [PubMed] [Google Scholar]
  14. Chatelle C, Lesenfants D, Guller Y, et al. BCI for assessing consciousness in severely brain-injured patients. In : Rossetti AO, Laureys S, eds. Clinical neurophysiology in disorders of consciousness. Wien : Springer-Verlag, 2015 : 133–148. [Google Scholar]
  15. Birbaumer N, Kübler A, Ghanayim N, et al. The thought translation device (TTD) for completely paralyzed patients. IEEE Trans Rehabil Eng 2000 ; 8 :190–193. [CrossRef] [PubMed] [Google Scholar]
  16. Cruse D, Chennu S, Chatelle C, et al. Bedside detection of awareness in the vegetative state. Lancet 2011 ; 378 : 2088–2094. [CrossRef] [PubMed] [Google Scholar]
  17. Pokorny C, Klobassa DS, Pichler G, et al. The auditory p300-based single-switch brain-computer interface: paradigm transition from healthy subjects to minimally conscious patients. Artif Intell Med 2013 ; 59 : 81–90. [CrossRef] [PubMed] [Google Scholar]
  18. Middendorf M, McMillan G, Calhoun G, Jones KS. Brain-computer interfaces based on the steady-state visual-evoked response. IEEE Trans Rehabil Eng 2000 ; 8 : 211–214. [Google Scholar]
  19. Lesenfants D, Habbal D, Lugo ZR, et al. An independent SSVEP-based brain-computer interface in locked-in syndrome. J Neural Eng 2014 ; 11 : 035002. [CrossRef] [PubMed] [Google Scholar]
  20. Goldfine AM, Bardin JC, Noirhomme Q, et al. Reanalysis of bedside detection of awareness in the vegetative state: a cohort study. Lancet 2013 ; 381 : 289–291. [CrossRef] [PubMed] [Google Scholar]
  21. Noirhomme Q, Lesenfants D, Gomez F, et al. Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictions. Neuroimage Clin 2014 ; 4 : 687–694. [CrossRef] [PubMed] [Google Scholar]
  22. Bin G, Gao X, Yan Z, et al. An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method. J Neural Eng 2009 ; 6 : 46002–46008. [CrossRef] [Google Scholar]
  23. Müller-Putz GR, Scherer R, Brauneis C, Pfurtscheller G. Steady-state visual evoked potential (SSVEP) based communication: impact of harmonic frequency components. J Neural Eng 2005 ; 2 : 123–130. [CrossRef] [PubMed] [Google Scholar]
  24. Allison BZ, McFarland DJ, Schalk G, et al. Towards an independent brain-computer interface using steady state visual evoked potentials. Clin Neurophysiol 2008 ; 119 : 399–408. [CrossRef] [PubMed] [Google Scholar]
  25. Kelly SP, Lalor EC, Finucane C, et al. Visual spatial attention control in an independent brain-computer interface. IEEE Trans Biomed Eng 2005 ; 52 : 1588–1596. [CrossRef] [PubMed] [Google Scholar]
  26. Zhang D, Maye A, Gao X, et al. An independent brain-computer interface using covert non-spatial visual selective attention. J Neural Eng 2010 ; 7 : 16010–16021. [CrossRef] [PubMed] [Google Scholar]
  27. Lesenfants D, Partoune N, Soddu A, et al. Design of a novel covert SSVEP-based BCI. Proceedings 5th International Brain-Computer Interface Conference. Graz, Austria, 2011. [Google Scholar]
  28. Lesenfants D, Habbal D, Chatelle C, et al. An attention-based diagnostic tool for patients with locked-in syndrome. 2015 (soumis pour publication). [Google Scholar]
  29. Viertio-Oja H, Maja V, Sarkela M, et al. Description of the entropyTM algorithm as applied in the datex-ohmeda S/5TM entropy module. Acta Anaesthesiol Scand 2004 ; 48 : 154–161. [CrossRef] [PubMed] [Google Scholar]
  30. Lesenfants D. Interface cerveau-ordinateur, Locked-In syndrome et troubles de la conscience. Doctoral dissertation, Université de Liège, Liège, Belgique, 2014. [Google Scholar]

Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.

Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.

Le chargement des statistiques peut être long.