Literature DB >> 32045022

Neuropsychological and neurophysiological aspects of brain-computer-interface (BCI) control in paralysis.

Ujwal Chaudhary1,2, Natalie Mrachacz-Kersting3, Niels Birbaumer1.   

Abstract

Brain-computer interfaces (BCIs) aim to help paralysed patients to interact with their environment by controlling external devices using brain activity, thereby bypassing the dysfunctional motor system. Some neuronal disorders, such as amyotrophic lateral sclerosis (ALS), severely impair the communication capacity of patients. Several invasive and non-invasive brain-computer interfaces (BCIs), most notably using electroencephalography (EEG), have been developed to provide a means of communication to paralysed patients. However, except for a few reports, all available BCI literature for the paralysed (mostly ALS patients) describes patients with intact eye movement control, i.e. patients in a locked-in state (LIS) but not a completely locked-in state (CLIS). In this article we will discuss: (1) the fundamental neuropsychological learning factors and neurophysiological factors determining BCI performance in clinical applications; (2) the difference between LIS and CLIS; (3) recent development in BCIs for communication with patients in the completely locked-in state; (4) the effect of BCI-based communication on emotional well-being and quality of life; and (5) the outlook and the methodology needed to provide a means of communication for patients who have none. Thus, we present an overview of available studies and recent results and try to anticipate future developments which may open new doors for BCI communication with the completely paralysed.
© 2020 The Authors. The Journal of Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society.

Entities:  

Keywords:  amyotrophic lateral sclerosis (ALS); brain-computer interface (BCI); communication; completely locked-in state (CLIS); electroencephalogram; functional near-infrared spectroscopy (NIRS); invasive BCI; locked-in state (LIS)

Mesh:

Year:  2020        PMID: 32045022     DOI: 10.1113/JP278775

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  11 in total

1.  Optical imaging and spectroscopy for the study of the human brain: status report.

Authors:  Hasan Ayaz; Wesley B Baker; Giles Blaney; David A Boas; Heather Bortfeld; Kenneth Brady; Joshua Brake; Sabrina Brigadoi; Erin M Buckley; Stefan A Carp; Robert J Cooper; Kyle R Cowdrick; Joseph P Culver; Ippeita Dan; Hamid Dehghani; Anna Devor; Turgut Durduran; Adam T Eggebrecht; Lauren L Emberson; Qianqian Fang; Sergio Fantini; Maria Angela Franceschini; Jonas B Fischer; Judit Gervain; Joy Hirsch; Keum-Shik Hong; Roarke Horstmeyer; Jana M Kainerstorfer; Tiffany S Ko; Daniel J Licht; Adam Liebert; Robert Luke; Jennifer M Lynch; Jaume Mesquida; Rickson C Mesquita; Noman Naseer; Sergio L Novi; Felipe Orihuela-Espina; Thomas D O'Sullivan; Darcy S Peterka; Antonio Pifferi; Luca Pollonini; Angelo Sassaroli; João Ricardo Sato; Felix Scholkmann; Lorenzo Spinelli; Vivek J Srinivasan; Keith St Lawrence; Ilias Tachtsidis; Yunjie Tong; Alessandro Torricelli; Tara Urner; Heidrun Wabnitz; Martin Wolf; Ursula Wolf; Shiqi Xu; Changhuei Yang; Arjun G Yodh; Meryem A Yücel; Wenjun Zhou
Journal:  Neurophotonics       Date:  2022-08-30       Impact factor: 4.212

2.  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

3.  Identification of Motor and Mental Imagery EEG in Two and Multiclass Subject-Dependent Tasks Using Successive Decomposition Index.

Authors:  Muhammad Tariq Sadiq; Xiaojun Yu; Zhaohui Yuan; Muhammad Zulkifal Aziz
Journal:  Sensors (Basel)       Date:  2020-09-16       Impact factor: 3.576

4.  A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state.

Authors:  Andres Jaramillo-Gonzalez; Shizhe Wu; Alessandro Tonin; Aygul Rana; Majid Khalili Ardali; Niels Birbaumer; Ujwal Chaudhary
Journal:  Sci Data       Date:  2021-01-11       Impact factor: 6.444

5.  Exploration of illusory visual motion stimuli: An EEG-based brain-computer interface for practical assistive communication systems.

Authors:  Yunyong Punsawad; Nannaphat Siribunyaphat; Yodchanan Wongsawat
Journal:  Heliyon       Date:  2021-03-16

6.  Motor Training Using Mental Workload (MWL) With an Assistive Soft Exoskeleton System: A Functional Near-Infrared Spectroscopy (fNIRS) Study for Brain-Machine Interface (BMI).

Authors:  Umer Asgher; Muhammad Jawad Khan; Muhammad Hamza Asif Nizami; Khurram Khalil; Riaz Ahmad; Yasar Ayaz; Noman Naseer
Journal:  Front Neurorobot       Date:  2021-03-18       Impact factor: 2.650

7.  Spelling interface using intracortical signals in a completely locked-in patient enabled via auditory neurofeedback training.

Authors:  Ujwal Chaudhary; Ioannis Vlachos; Jonas B Zimmermann; Arnau Espinosa; Alessandro Tonin; Andres Jaramillo-Gonzalez; Majid Khalili-Ardali; Helge Topka; Jens Lehmberg; Gerhard M Friehs; Alain Woodtli; John P Donoghue; Niels Birbaumer
Journal:  Nat Commun       Date:  2022-03-22       Impact factor: 14.919

Review 8.  Optoelectronic Neural Interfaces Based on Quantum Dots.

Authors:  Mertcan Han; Onuralp Karatum; Sedat Nizamoglu
Journal:  ACS Appl Mater Interfaces       Date:  2022-04-28       Impact factor: 10.383

9.  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

10.  Optimizing SSVEP-Based BCI System towards Practical High-Speed Spelling.

Authors:  Jiabei Tang; Minpeng Xu; Jin Han; Miao Liu; Tingfei Dai; Shanguang Chen; Dong Ming
Journal:  Sensors (Basel)       Date:  2020-07-28       Impact factor: 3.576

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