Literature DB >> 20888292

Transition from the locked in to the completely locked-in state: a physiological analysis.

A Ramos Murguialday1, J Hill, M Bensch, S Martens, S Halder, F Nijboer, B Schoelkopf, N Birbaumer, A Gharabaghi.   

Abstract

OBJECTIVE: To clarify the physiological and behavioral boundaries between locked-in (LIS) and the completely locked-in state (CLIS) (no voluntary eye movements, no communication possible) through electrophysiological data and to secure brain-computer-interface (BCI) communication.
METHODS: Electromyography from facial muscles, external anal sphincter (EAS), electrooculography and electrocorticographic data during different psychophysiological tests were acquired to define electrophysiological differences in an amyotrophic lateral sclerosis (ALS) patient with an intracranially implanted grid of 112 electrodes for nine months while the patient passed from the LIS to the CLIS.
RESULTS: At the very end of the LIS there was no facial muscle activity, nor external anal sphincter but eye control. Eye movements were slow and lasted for short periods only. During CLIS event related brain potentials (ERP) to passive limb movements and auditory stimuli were recorded, vibrotactile stimulation of different body parts resulted in no ERP response.
CONCLUSIONS: The results presented contradict the commonly accepted assumption that the EAS is the last remaining muscle under voluntary control and demonstrate complete loss of eye movements in CLIS. The eye muscle was shown to be the last muscle group under voluntary control. The findings suggest ALS as a multisystem disorder, even affecting afferent sensory pathways. SIGNIFICANCE: Auditory and proprioceptive brain-computer-interface (BCI) systems are the only remaining communication channels in CLIS.
Copyright © 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20888292     DOI: 10.1016/j.clinph.2010.08.019

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  42 in total

Review 1.  Brain-computer interfaces for communication and rehabilitation.

Authors:  Ujwal Chaudhary; Niels Birbaumer; Ander Ramos-Murguialday
Journal:  Nat Rev Neurol       Date:  2016-08-19       Impact factor: 42.937

Review 2.  Review: Human Intracortical Recording and Neural Decoding for Brain-Computer Interfaces.

Authors:  David M Brandman; Sydney S Cash; Leigh R Hochberg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-03-02       Impact factor: 3.802

3.  A clinical screening protocol for the RSVP Keyboard brain-computer interface.

Authors:  Melanie Fried-Oken; Aimee Mooney; Betts Peters; Barry Oken
Journal:  Disabil Rehabil Assist Technol       Date:  2013-09-23

4.  Different effects of using pictures as stimuli in a P300 brain-computer interface under rapid serial visual presentation or row-column paradigm.

Authors:  Álvaro Fernández-Rodríguez; María Teresa Medina-Juliá; Francisco Velasco-Álvarez; Ricardo Ron-Angevin
Journal:  Med Biol Eng Comput       Date:  2021-03-20       Impact factor: 2.602

5.  P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls.

Authors:  Lynn M McCane; Susan M Heckman; Dennis J McFarland; George Townsend; Joseph N Mak; Eric W Sellers; Debra Zeitlin; Laura M Tenteromano; Jonathan R Wolpaw; Theresa M Vaughan
Journal:  Clin Neurophysiol       Date:  2015-02-07       Impact factor: 3.708

Review 6.  Ideomotor silence: the case of complete paralysis and brain-computer interfaces (BCI).

Authors:  Niels Birbaumer; Francesco Piccione; Stefano Silvoni; Moritz Wildgruber
Journal:  Psychol Res       Date:  2012-01-18

7.  Collaborative approach in the development of high-performance brain-computer interfaces for a neuroprosthetic arm: translation from animal models to human control.

Authors:  Jennifer L Collinger; Michael A Kryger; Richard Barbara; Timothy Betler; Kristen Bowsher; Elke H P Brown; Samuel T Clanton; Alan D Degenhart; Stephen T Foldes; Robert A Gaunt; Ferenc E Gyulai; Elizabeth A Harchick; Deborah Harrington; John B Helder; Timothy Hemmes; Matthew S Johannes; Kapil D Katyal; Geoffrey S F Ling; Angus J C McMorland; Karina Palko; Matthew P Para; Janet Scheuermann; Andrew B Schwartz; Elizabeth R Skidmore; Florian Solzbacher; Anita V Srikameswaran; Dennis P Swanson; Scott Swetz; Elizabeth C Tyler-Kabara; Meel Velliste; Wei Wang; Douglas J Weber; Brian Wodlinger; Michael L Boninger
Journal:  Clin Transl Sci       Date:  2013-08-27       Impact factor: 4.689

8.  Enhancing Communication for People in Late-Stage ALS Using an fNIRS-Based BCI System.

Authors:  Seyyed Bahram Borgheai; John McLinden; Alyssa Hillary Zisk; Sarah Ismail Hosni; Roohollah Jafari Deligani; Mohammadreza Abtahi; Kunal Mankodiya; Yalda Shahriari
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-03-13       Impact factor: 3.802

9.  Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals.

Authors:  Tomislav Milekovic; Anish A Sarma; Daniel Bacher; John D Simeral; Jad Saab; Chethan Pandarinath; Brittany L Sorice; Christine Blabe; Erin M Oakley; Kathryn R Tringale; Emad Eskandar; Sydney S Cash; Jaimie M Henderson; Krishna V Shenoy; John P Donoghue; Leigh R Hochberg
Journal:  J Neurophysiol       Date:  2018-04-25       Impact factor: 2.714

10.  Brain-computer interface with language model-electroencephalography fusion for locked-in syndrome.

Authors:  Barry S Oken; Umut Orhan; Brian Roark; Deniz Erdogmus; Andrew Fowler; Aimee Mooney; Betts Peters; Meghan Miller; Melanie B Fried-Oken
Journal:  Neurorehabil Neural Repair       Date:  2013-12-26       Impact factor: 3.919

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