Literature DB >> 25372874

Acceptance of brain-computer interfaces in amyotrophic lateral sclerosis.

Andrew Geronimo1, Helen E Stephens, Steven J Schiff, Zachary Simmons.   

Abstract

Brain-computer interfaces (BCI) have the potential to permit patients with amyotrophic lateral sclerosis (ALS) to communicate even when locked in. Although as many as half of patients with ALS develop cognitive or behavioral dysfunction, the impact of these factors on acceptance of and ability to use a BCI has not been studied. We surveyed patients with ALS and their caregivers about BCIs used as assistive communication tools. The survey focused on the features of a BCI system, the desired end-use functions, and requirements. Functional, cognitive, and behavioral data were collected from patients and analyzed for their influence over decisions about BCI device use. Results showed that behavioral impairment was associated with decreased receptivity to the use of BCI technology. In addition, the operation of a BCI system during a pilot study altered patients' opinions of the utility of the system, generally in line with their perceived performance at controlling the device. In conclusion, these two findings have implications for the engineering design and clinical care phases of assistive device deployment.

Entities:  

Keywords:  Brain-computer interface; amyotrophic lateral sclerosis; assistive communication; behavior; cognition

Mesh:

Year:  2014        PMID: 25372874     DOI: 10.3109/21678421.2014.969275

Source DB:  PubMed          Journal:  Amyotroph Lateral Scler Frontotemporal Degener        ISSN: 2167-8421            Impact factor:   4.092


  6 in total

1.  On the way home: a BCI-FES hand therapy self-managed by sub-acute SCI participants and their caregivers: a usability study.

Authors:  Anna Zulauf-Czaja; Manaf K H Al-Taleb; Mariel Purcell; Nina Petric-Gray; Jennifer Cloughley; Aleksandra Vuckovic
Journal:  J Neuroeng Rehabil       Date:  2021-02-25       Impact factor: 4.262

2.  Examining sensory ability, feature matching and assessment-based adaptation for a brain-computer interface using the steady-state visually evoked potential.

Authors:  Jonathan S Brumberg; Anh Nguyen; Kevin M Pitt; Sean D Lorenz
Journal:  Disabil Rehabil Assist Technol       Date:  2018-01-31

3.  Evaluating the perspectives of those with severe physical impairments while learning BCI control of a commercial augmentative and alternative communication paradigm.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Assist Technol       Date:  2021-07-09

4.  Using brain-computer interfaces: a scoping review of studies employing social research methods.

Authors:  Johannes Kögel; Jennifer R Schmid; Ralf J Jox; Orsolya Friedrich
Journal:  BMC Med Ethics       Date:  2019-03-07       Impact factor: 2.652

5.  Psychological Predictors of Visual and Auditory P300 Brain-Computer Interface Performance.

Authors:  Eva M Hammer; Sebastian Halder; Sonja C Kleih; Andrea Kübler
Journal:  Front Neurosci       Date:  2018-05-14       Impact factor: 4.677

Review 6.  State of the Art of Non-Invasive Electrode Materials for Brain-Computer Interface.

Authors:  Haowen Yuan; Yao Li; Junjun Yang; Hongjie Li; Qinya Yang; Cuiping Guo; Shenmin Zhu; Xiaokang Shu
Journal:  Micromachines (Basel)       Date:  2021-12-08       Impact factor: 2.891

  6 in total

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