HealthResJ, health, medicine, nursing, research

Communications Methods to patients with locked-in syndrome

Published: Feb 7, 2019
Locked-In Syndrome communication intensive care unit brain computer interfaces rehabilitation
Maria Tzogia
Dimitrios Papageorgiou

ntroduction: Brain-computer interfaces (BCIs) that promote communication with individuals suffering from locked-in syndrome (LIS), are variously superior to the classic methods. These interfaces, whether intrusive or not,

have evolved and are now accessible to patients, thus contributing mainly to the production of written speech, to the control of personal computers, and to the management of the patient’s environment.

Aim: The aim of the present review was to evaluate the effectiveness with LIS patients of communication methods using technology.
Methodology: The search of the Greek and international bibliography involved the databases: Pubmed, Cinahl, Sciverse Scopus Proquest, Researchgate, Cochranelibrary, etc. 1,652 items were found and 15 were judged appropriate for study.

Results: There is a wide variety of available BCIs, depending on the minimum demands made on the user, the needs served and the time the user takes to learn them. Communication remains a time-consuming process and thus a source of great anxiety to patients. Furthermore, there is a slight superiority in the possibilities offered by intrusive BCIs. However, they are often not preferred because they require a surgical operation.

Conclusions: There is an identified need to find new methods, or to modify already existing ones, for the more effective communication with patients who suffer from all forms of LIS. However, the dysfunctions in the control of the sensorimotor rhythms (due to alterations or damage to the cerebral cortex) may adversely impact the perfection of BCI technology.

Article Details
  • Section
  • Reviews
Download data is not yet available.
Khanna K, Verma A and Bella R. “The locked-in syndrome”: Can it be unlocked?. Journal of Clinical Gerontology & Geriatrics 2011;2:96-99.
American Congress of Rehabilitation Medicine. Recommendations for use of uniform nomenclature pertinent to patients with severe alterations in consciousness. American Congress of Rehabilitation Medicine. Archives of Physical Medicine and Rehabilitation 1995;76:205–209.
Barbic D, Levine Z, Tampieri D, and Teiltelbaum J. Locked-in syndrome: a critical and time- dependent diagnosis. Can J Emerg Med 2012;14(5): 317-320.
Αβούρης Ν, Κατσάνος Χ, Τσέλιος Ν και , Μουστάκας Κ. Αλληλεπίδραση, Διαδραστικες
συσκευές στο Εισαγωγή στην Αλληλεπίδραση Ανθρώπου-Υπολογιστή. Πανεπιστήμιο Πατρών. Πάτρα 2016;81-126.
Αθανασίου Α. Λειτουργική Συνδεσιμότητα του Κιναισθητικού Φλοιού του Εγκεφάλου σε Πραγματική και Φανταστική Κίνηση των Άκρων. Διπλωματική Εργασία για το πρόγραμμα Εξειδίκευσης στην Ιατρική Πληροφορική. Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης Θεσσαλονίκης. Θεσσαλονίκη, 2012.
Chaudahary U, Birbaumer N and Ramos- Murquialdgay A. Brain-computer interfaces for communication and rehabilitation. Nat Rev Neurol 2016;12(9):513-25.
Marchetti M and Priftis K. Brain-computer interfaces in amyotrophic lateral sclerosis: A metanalysis. Clin Neurophysiol 2015;126(6): 1255-63.
Gayraud F, Martinie B, Bentot E, Lepilliez A, Tell L, Cotton F et al. Written production in a case of locked-in syndrome with bilateral corticopontic degeneration. Neuropsychol Rehabil 2015;25(5):780-97.
Cecotti H. Spelling with non-invasive Brain- Computer Interfaces-current and future trends. J Physiology-Paris 2012;105(1-32):106-114.
Barbosa S, Pires G, and Nunes U. Toward a reliable gaze-independent hybrid BCI combining visual and natural auditory stimuli. J Neurosci Meth 2016; 261(1):47-61.
Gallegos-Ayala G, Furdea A, Takano K, Ruf CA, Flor H and Binbaumer N. Brain communication in a completely locked-in patient using bedside near-infrared spectroscopy. Neurology. 2014, 27;82(21): 1930-2.
Σελίδα 28
Bacher D, Jarosiewicz B, Masse NY, Stavisky SD, Simeral JD, Newell K, et al. Neural Point-and- Click Communication by a Person With Incomplete Locked-In Syndrome. Neurorehab Neural Re 2015;29(5):462-71
Herff C and Schultz T. Automatic Speech Recognition from Neural Signals: A Focused Review. Front Neurosci 2016;27(10):429
Daly JJ and Wolpaw JR. Brain-computer interfaces in neurological rehabilitation. The Lancet Neurology 2013;7(11): 1032-43
Luqo ZR, Bruno MA, Gosseries O, Demertzi A, Heine L, Thonnard M et al. Beyond the gaze: Communicating in chronic locked-in syndrome. Brain Injury 2015;29(9): 1056-61
Kageyama Y, Hirata M, Yanaqisawa T, Shimokawa T, Sawada T, Morris S et al. Severely affected ALS patients have broad and high expectations for brain-machine interfaces. Amyotroph Lateral Sc 2014; 15(7-8):513-9
Holz EM, Botrel L, Kaufmann T, and Kubler A. Long-term independent brain-computer interface home use improves quality of life of a patient in the locked-in state: a case study. Arch Phys Med Rehab 2015;96(3): S16-26
Lee KR, Chang WD, Kim S and Im CH. Real-time 'eye-writing' recognition using electrooculogram (EOG). IEEE T Neur Sys Reh 2016;41:61-74.
Kathner I, Kubler A and Halder S. Comparison of eye tracking, electrooculography and an auditory brain-computer interface for binary communication: a case study with a participant
in the locked-in state. J Neuroeng Rehabil
Jarosiewicz B, Sarma AA, Bacher D, Masse NY,
Simeral JD, Sorice B et al. Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface. Sci Transl Med 2015;11:313-322.
Pistoia F, Cornia R, Conson M, Gosseries O, Carolei A, Sacco S et al. Disembodied Mind: Cortical Changes Following Brainstem Injury in Patients with Locked-in Syndrom. The Open Neuroimaging Journal 2016;10(Suppl-1,M3): 32- 40.
Σελίδα 29
Most read articles by the same author(s)