Literature DB >> 29950436

Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis.

Jonathan R Wolpaw1, Richard S Bedlack2, Domenic J Reda2, Robert J Ringer2, Patricia G Banks2, Theresa M Vaughan2, Susan M Heckman2, Lynn M McCane2, Charles S Carmack2, Stefan Winden2, Dennis J McFarland2, Eric W Sellers2, Hairong Shi2, Tamara Paine2, Donald S Higgins2, Albert C Lo2, Huned S Patwa2, Katherine J Hill2, Grant D Huang2, Robert L Ruff2.   

Abstract

OBJECTIVE: To assess the reliability and usefulness of an EEG-based brain-computer interface (BCI) for patients with advanced amyotrophic lateral sclerosis (ALS) who used it independently at home for up to 18 months.
METHODS: Of 42 patients consented, 39 (93%) met the study criteria, and 37 (88%) were assessed for use of the Wadsworth BCI. Nine (21%) could not use the BCI. Of the other 28, 27 (men, age 28-79 years) (64%) had the BCI placed in their homes, and they and their caregivers were trained to use it. Use data were collected by Internet. Periodic visits evaluated BCI benefit and burden and quality of life.
RESULTS: Over subsequent months, 12 (29% of the original 42) left the study because of death or rapid disease progression and 6 (14%) left because of decreased interest. Fourteen (33%) completed training and used the BCI independently, mainly for communication. Technical problems were rare. Patient and caregiver ratings indicated that BCI benefit exceeded burden. Quality of life remained stable. Of those not lost to the disease, half completed the study; all but 1 patient kept the BCI for further use.
CONCLUSION: The Wadsworth BCI home system can function reliably and usefully when operated by patients in their homes. BCIs that support communication are at present most suitable for people who are severely disabled but are otherwise in stable health. Improvements in BCI convenience and performance, including some now underway, should increase the number of people who find them useful and the extent to which they are used.
© 2018 American Academy of Neurology.

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Year:  2018        PMID: 29950436      PMCID: PMC6059033          DOI: 10.1212/WNL.0000000000005812

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   11.800


  35 in total

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Authors:  B R Brooks; R G Miller; M Swash; T L Munsat
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2.  American Electroencephalographic Society guidelines for standard electrode position nomenclature.

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Journal:  J Clin Neurophysiol       Date:  1991-04       Impact factor: 2.177

3.  A brain-computer interface for long-term independent home use.

Authors:  Eric W Sellers; Theresa M Vaughan; Jonathan R Wolpaw
Journal:  Amyotroph Lateral Scler       Date:  2010-10

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Authors:  D J Krusienski; E W Sellers; D J McFarland; T M Vaughan; J R Wolpaw
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5.  A new EEG recording system for passive dry electrodes.

Authors:  Gaetano Gargiulo; Rafael A Calvo; Paolo Bifulco; Mario Cesarelli; Craig Jin; Armin Mohamed; André van Schaik
Journal:  Clin Neurophysiol       Date:  2010-01-25       Impact factor: 3.708

6.  Speech therapy and communication device: impact on quality of life and mood in patients with amyotrophic lateral sclerosis.

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Authors:  Martijn Schreuder; Thomas Rost; Michael Tangermann
Journal:  Front Neurosci       Date:  2011-10-14       Impact factor: 4.677

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  19 in total

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Journal:  Muscle Nerve       Date:  2020-06       Impact factor: 3.217

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4.  Brain-Computer interfaces for communication: preferences of individuals with locked-in syndrome, caregivers and researchers.

Authors:  Mariana P Branco; Elmar G M Pels; Femke Nijboer; Nick F Ramsey; Mariska J Vansteensel
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5.  Considering Augmentative and Alternative Communication Research for Brain-Computer Interface Practice.

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6.  Usability of a Hybrid System Combining P300-Based Brain-Computer Interface and Commercial Assistive Technologies to Enhance Communication in People With Multiple Sclerosis.

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Journal:  Front Hum Neurosci       Date:  2022-05-26       Impact factor: 3.473

7.  Concerns in the Blurred Divisions between Medical and Consumer Neurotechnology.

Authors:  Andrew Y Paek; Justin A Brantley; Barbara J Evans; Jose L Contreras-Vidal
Journal:  IEEE Syst J       Date:  2020-12-18       Impact factor: 4.802

8.  Behind the Scenes of Noninvasive Brain-Computer Interfaces: A Review of Electroencephalography Signals, How They Are Recorded, and Why They Matter.

Authors:  Kevin M Pitt; Jonathan S Brumberg; Jeremy D Burnison; Jyutika Mehta; Juhi Kidwai
Journal:  Perspect ASHA Spec Interest Groups       Date:  2019-11-09

9.  Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria.

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10.  EEG power spectral density in locked-in and completely locked-in state patients: a longitudinal study.

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