Abstract
The paper presents a novel multimodal-based methodology for consciousness study of individuals with unresponsive wakefulness syndrome. Two interfaces were employed in the experiments: eye gaze tracking system – CyberEye developed at the Multimedia Systems Department, and EEG device with electrode placement in the international 10-20 standard. It was a pilot study for checking if it is possible to determine objective methods based on multimodal techniques which could replace or support current expensive and difficult to access neuroimaging techniques, like fMRI, PET, utilizing in evaluation of consciousness state. The multimodal-based methodology consists of several phases of research involving subjects. Hearing examination based on objective methods (OAE, ABR), consciousness test based on analysis of visual activity, examination of visual neural pathway with Steady State Visually Evoked Potentials and EEG-based comprehension test were proposed. The results obtained within conducted experiments and presented in this paper suggest that proposed objective-subjective methodology could potentially be introduced into clinical facilities after further validation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Landsness, E., Bruno, M.A., Noirhomme, Q., Riedner, B., Gosseries, O., Schnakers, C., Massimini, M., Laureys, S., Tononi, G., Boly, M.: Electrophysiological correlates of behavioural changes in vigilance in vegetative state and minimally conscious state. Brain 134(pt. 8), 2222–2232 (2011)
Lulé, D., Noirhomme, Q., Kleih, S.C., Chatelle, C., Halder, S., Demertzi, A., Bruno, M.-A., Gosseries, O., Vanhaudenhuyse, A., Schnakers, C., Thonnard, M., Soddu, A., Kübler, A., Laureys, S.: Probing command following in patients with disorders of consciousness using a brain-computer interface. Clin. Neurophysiol. 124(1), 101–106 (2013)
Rosanova, M., Gosseries, O., Casarotto, S., Boly, M., Casali, A.G., Bruno, M.A., Mariotti, M., Boveroux, P., Tononi, G., Laureys, S., Massimini, M.: Recovery of cortical effective connectivity and recovery of consciousness in vegetative patients. Brain 135, 1308–1320 (2012)
Laureys, S., Goldman, S., Phillips, C., Van Bogaert, P., Aerts, J., Luxen, A., Franck, G., Maquet, P.: Impaired effective cortical connectivity in vegetative state: preliminary investigation using PET. Neuroimage 9(4), 377–382 (1999)
Noirhomme, Q., Soddu, A., Vanhaudenhuyse, A., Lehembre, R., Bruno, M.A., Gosseries, O., Demertzi, A., Maudoux, A., Schnakers, C., Boveroux, P., Boly, M., Laureys, S.: Functional neuroimaging approaches to the changing borders of consciousness. J. Psychophysiol. 24(2), 68–75 (2010)
Laureys, S., Schiff, N.D.: Coma and consciousness: paradigms (re)framed by neuroimaging. Neuroimage 61(2), 478–491 (2012)
Vanhaudenhuyse, A., Noirhomme, Q., Tshibanda, L., Bruno, M.A., Boveroux, P., Schnakers, C., Soddu, A., Perlbarg, V., Ledoux, D., Brichant, J.F., Moonen, G., Maquet, P., Greicius, M.D., Laureys, S., Boly, M.: Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. Brain 133(pt. 1), 161–171 (2010)
Monti, M.M., Laureys, S., Owen, A.M.: The vegetative state. BMJ 341 (2010)
Monti, M.M., Vanhaudenhuyse, A., Coleman, M.R., Boly, M., Pickard, J.D., Tshibanda, L., Owen, A.M., Laureys, S.: Willful modulation of brain activity in disorders of consciousness. N. Engl. J. Med. 362(7), 579–589 (2010)
Kunka, B., Czyzewski, A., Kwiatkowska, A.: Awareness evaluation of patients in vegetative state employing eye-gaze tracking system. Int. J. Artif. Intell. Tools 21(2), 1–11 (2012)
Kunka, B., Kostek, B.: Objectivization of audio-visual correlation analysis. Arch. Acoust. 37(1), 63–72 (2012)
Kunka, B., Kostek, B.: Exploiting audio-visual correlation by means of gaze tracking. Int. J. Comput. Sci. Appl. 7(3), 104–123 (2010)
Herrmann, C.S.: Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena. Exp. Brain Res. 137(3–4), 346–353 (2001)
Pastor, M., Artieda, J., Arbizu, J., Valencia, M., Masdeu, J.: Human cerebral activation during steady-state visual-evoked responses. J. Neurosci. 23(37), 621–627 (2003)
Vialatte, F., Maurice, M., Dauwels, J., Cichocki, A.: Steady- state visually evoked potentials: Focus on essential paradigms and future perspectives. Prog. Neurobiol. 90, 418–438 (2010)
Bayram, A.: Simultaneous EEG/fMRI Analysis of the Resonance Phenomena in Steady-State Visual Evoked Responses. Clin. EEG Neurosci. 42(2), 98–106 (2011)
Sharbrough, F., Chatrian, G.-E., Lesser, R.P., Lüders, H., Nuwer, M., Picton, T.W.: American Electroencephalographic Society Guidelines for Standard Electrode Position Nomenclature. J. Clin. Neurophysiol. 8, 200–202 (1991)
Lehembre, R., Gosseries, O., Lugo, Z., Jedidi, Z., Chatelle, C., Sadzot, B., Laureys, S., Noirhomme, Q.: Electrophysiological investigations of brain function in coma, vegetative and minimally conscious patients. Arch. Ital. Biol. 150, 122–139 (2012)
Perrin, F., Garcia-Larrea, L., Mauguiere, F., Bastuji, H.: A differential brain response to the subject’s own name persists during sleep. Clin. Neurophysiol. 110(12), 2153–2164 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Kunka, B., Sanner, T., Czyżewski, A., Kwiatkowska, A. (2014). Consciousness Study of Subjects with Unresponsive Wakefulness Syndrome Employing Multimodal Interfaces. In: Ślȩzak, D., Tan, AH., Peters, J.F., Schwabe, L. (eds) Brain Informatics and Health. BIH 2014. Lecture Notes in Computer Science(), vol 8609. Springer, Cham. https://doi.org/10.1007/978-3-319-09891-3_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-09891-3_6
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09890-6
Online ISBN: 978-3-319-09891-3
eBook Packages: Computer ScienceComputer Science (R0)