Literature DB >> 27590968

Brain-computer interfaces in the completely locked-in state and chronic stroke.

U Chaudhary1, N Birbaumer2, A Ramos-Murguialday3.   

Abstract

Brain-computer interfaces (BCIs) use brain activity to control external devices, facilitating paralyzed patients to interact with the environment. In this chapter, we discuss the historical perspective of development of BCIs and the current advances of noninvasive BCIs for communication in patients with amyotrophic lateral sclerosis and for restoration of motor impairment after severe stroke. Distinct techniques have been explored to control a BCI in patient population especially electroencephalography (EEG) and more recently near-infrared spectroscopy (NIRS) because of their noninvasive nature and low cost. Previous studies demonstrated successful communication of patients with locked-in state (LIS) using EEG- and invasive electrocorticography-BCI and intracortical recordings when patients still showed residual eye control, but not with patients with complete LIS (ie, complete paralysis). Recently, a NIRS-BCI and classical conditioning procedure was introduced, allowing communication in patients in the complete locked-in state (CLIS). In severe chronic stroke without residual hand function first results indicate a possible superior motor rehabilitation to available treatment using BCI training. Here we present an overview of the available studies and recent results, which open new doors for communication, in the completely paralyzed and rehabilitation in severely affected stroke patients. We also reflect on and describe possible neuronal and learning mechanisms responsible for BCI control and perspective for future BMI research for communication in CLIS and stroke motor recovery.
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; Brain–computer interface; Classical conditioning; Communication; Complete locked-in state; Electroencephalography; Functional near-infrared spectroscopy; Locked-in state; Rehabilitation; Stroke

Mesh:

Year:  2016        PMID: 27590968     DOI: 10.1016/bs.pbr.2016.04.019

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  12 in total

1.  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

2.  Brain-Computer Interface-Based Communication in the Completely Locked-In State.

Authors:  Ujwal Chaudhary; Bin Xia; Stefano Silvoni; Leonardo G Cohen; Niels Birbaumer
Journal:  PLoS Biol       Date:  2017-01-31       Impact factor: 8.029

3.  Hybrid brain-computer interface for biomedical cyber-physical system application using wireless embedded EEG systems.

Authors:  Rifai Chai; Ganesh R Naik; Sai Ho Ling; Hung T Nguyen
Journal:  Biomed Eng Online       Date:  2017-01-07       Impact factor: 2.819

4.  Open Software/Hardware Platform for Human-Computer Interface Based on Electrooculography (EOG) Signal Classification.

Authors:  Jayro Martínez-Cerveró; Majid Khalili Ardali; Andres Jaramillo-Gonzalez; Shizhe Wu; Alessandro Tonin; Niels Birbaumer; Ujwal Chaudhary
Journal:  Sensors (Basel)       Date:  2020-04-25       Impact factor: 3.576

5.  Conscious While Being Considered in an Unresponsive Wakefulness Syndrome for 20 Years.

Authors:  Audrey Vanhaudenhuyse; Vanessa Charland-Verville; Aurore Thibaut; Camille Chatelle; Jean-Flory L Tshibanda; Audrey Maudoux; Marie-Elisabeth Faymonville; Steven Laureys; Olivia Gosseries
Journal:  Front Neurol       Date:  2018-08-28       Impact factor: 4.003

6.  Response to: "Questioning the evidence for BCI-based communication in the complete locked-in state".

Authors:  Ujwal Chaudhary; Sudhir Pathak; Niels Birbaumer
Journal:  PLoS Biol       Date:  2019-04-08       Impact factor: 8.029

Review 7.  Decoding Movement From Electrocorticographic Activity: A Review.

Authors:  Ksenia Volkova; Mikhail A Lebedev; Alexander Kaplan; Alexei Ossadtchi
Journal:  Front Neuroinform       Date:  2019-12-03       Impact factor: 4.081

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

Authors:  Arianna Secco; Alessandro Tonin; Aygul Rana; Andres Jaramillo-Gonzalez; Majid Khalili-Ardali; Niels Birbaumer; Ujwal Chaudhary
Journal:  Cogn Neurodyn       Date:  2020-10-23       Impact factor: 5.082

9.  A 20-Questions-Based Binary Spelling Interface for Communication Systems.

Authors:  Alessandro Tonin; Niels Birbaumer; Ujwal Chaudhary
Journal:  Brain Sci       Date:  2018-07-02

10.  A Systemic Review of Functional Near-Infrared Spectroscopy for Stroke: Current Application and Future Directions.

Authors:  Muyue Yang; Zhen Yang; Tifei Yuan; Wuwei Feng; Pu Wang
Journal:  Front Neurol       Date:  2019-02-05       Impact factor: 4.003

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