Literature DB >> 20442804

Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.

Joseph N Mak1, Jonathan R Wolpaw.   

Abstract

Brain-computer interfaces (BCIs) allow their users to communicate or control external devices using brain signals rather than the brain's normal output pathways of peripheral nerves and muscles. Motivated by the hope of restoring independence to severely disabled individuals and by interest in further extending human control of external systems, researchers from many fields are engaged in this challenging new work. BCI research and development have grown explosively over the past two decades. Efforts have recently begun to provide laboratory-validated BCI systems to severely disabled individuals for real-world applications. In this review, we discuss the current status and future prospects of BCI technology and its clinical applications. We will define BCI, review the BCI-relevant signals from the human brain, and describe the functional components of BCIs. We will also review current clinical applications of BCI technology, and identify potential users and potential applications. Finally, we will discuss current limitations of BCI technology, impediments to its widespread clinical use, and expectations for the future.

Entities:  

Year:  2009        PMID: 20442804      PMCID: PMC2862632          DOI: 10.1109/RBME.2009.2035356

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  118 in total

1.  Brain-computer interface technology: a review of the first international meeting.

Authors:  J R Wolpaw; N Birbaumer; W J Heetderks; D J McFarland; P H Peckham; G Schalk; E Donchin; L A Quatrano; C J Robinson; T M Vaughan
Journal:  IEEE Trans Rehabil Eng       Date:  2000-06

2.  Real-world applications for brain-computer interface technology.

Authors:  Melody M Moore
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

3.  'Thought'--control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia.

Authors:  Gert Pfurtscheller; Gernot R Müller; Jörg Pfurtscheller; Hans Jürgen Gerner; Rüdiger Rupp
Journal:  Neurosci Lett       Date:  2003-11-06       Impact factor: 3.046

4.  Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface.

Authors:  Ranganatha Sitaram; Haihong Zhang; Cuntai Guan; Manoj Thulasidas; Yoko Hoshi; Akihiro Ishikawa; Koji Shimizu; Niels Birbaumer
Journal:  Neuroimage       Date:  2006-12-28       Impact factor: 6.556

5.  Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients?

Authors:  A Kübler; N Birbaumer
Journal:  Clin Neurophysiol       Date:  2008-09-27       Impact factor: 3.708

6.  EEG-based communication: evaluation of alternative signal prediction methods.

Authors:  H Ramoser; J R Wolpaw; G Pfurtscheller
Journal:  Biomed Tech (Berl)       Date:  1997-09       Impact factor: 1.411

Review 7.  Brain-computer interfaces--the key for the conscious brain locked into a paralyzed body.

Authors:  Andrea Kübler; Nicola Neumann
Journal:  Prog Brain Res       Date:  2005       Impact factor: 2.453

8.  A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.

Authors:  F Nijboer; E W Sellers; J Mellinger; M A Jordan; T Matuz; A Furdea; S Halder; U Mochty; D J Krusienski; T M Vaughan; J R Wolpaw; N Birbaumer; A Kübler
Journal:  Clin Neurophysiol       Date:  2008-06-20       Impact factor: 3.708

9.  Electrocorticographically controlled brain-computer interfaces using motor and sensory imagery in patients with temporary subdural electrode implants. Report of four cases.

Authors:  Elizabeth A Felton; J Adam Wilson; Justin C Williams; P Charles Garell
Journal:  J Neurosurg       Date:  2007-03       Impact factor: 5.115

10.  Brain-machine interface via real-time fMRI: preliminary study on thought-controlled robotic arm.

Authors:  Jong-Hwan Lee; Jeongwon Ryu; Ferenc A Jolesz; Zang-Hee Cho; Seung-Schik Yoo
Journal:  Neurosci Lett       Date:  2008-11-14       Impact factor: 3.046

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  53 in total

Review 1.  Brain-computer interfaces in medicine.

Authors:  Jerry J Shih; Dean J Krusienski; Jonathan R Wolpaw
Journal:  Mayo Clin Proc       Date:  2012-02-10       Impact factor: 7.616

2.  Informed Consent in Implantable BCI Research: Identifying Risks and Exploring Meaning.

Authors:  Eran Klein
Journal:  Sci Eng Ethics       Date:  2015-10-23       Impact factor: 3.525

3.  The Ising decoder: reading out the activity of large neural ensembles.

Authors:  Michael T Schaub; Simon R Schultz
Journal:  J Comput Neurosci       Date:  2011-06-11       Impact factor: 1.621

Review 4.  Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Am J Speech Lang Pathol       Date:  2018-08-06       Impact factor: 2.408

5.  The role of inhibition in oscillatory wave dynamics in the cortex.

Authors:  Ying Xiao; Xiao-Ying Huang; Stephen Van Wert; Ernest Barreto; Jian-Young Wu; Bruce J Gluckman; Steven J Schiff
Journal:  Eur J Neurosci       Date:  2012-07       Impact factor: 3.386

6.  A P300-based brain-computer interface aimed at operating electronic devices at home for severely disabled people.

Authors:  Rebeca Corralejo; Luis F Nicolás-Alonso; Daniel Alvarez; Roberto Hornero
Journal:  Med Biol Eng Comput       Date:  2014-08-28       Impact factor: 2.602

Review 7.  Progress in Brain Computer Interface: Challenges and Opportunities.

Authors:  Simanto Saha; Khondaker A Mamun; Khawza Ahmed; Raqibul Mostafa; Ganesh R Naik; Sam Darvishi; Ahsan H Khandoker; Mathias Baumert
Journal:  Front Syst Neurosci       Date:  2021-02-25

8.  Novel hybrid brain-computer interface system based on motor imagery and P300.

Authors:  Cili Zuo; Jing Jin; Erwei Yin; Rami Saab; Yangyang Miao; Xingyu Wang; Dewen Hu; Andrzej Cichocki
Journal:  Cogn Neurodyn       Date:  2019-10-21       Impact factor: 5.082

Review 9.  The Evolution of Neuroprosthetic Interfaces.

Authors:  Dayo O Adewole; Mijail D Serruya; James P Harris; Justin C Burrell; Dmitriy Petrov; H Isaac Chen; John A Wolf; D Kacy Cullen
Journal:  Crit Rev Biomed Eng       Date:  2016

Review 10.  Sensors and decoding for intracortical brain computer interfaces.

Authors:  Mark L Homer; Arto V Nurmikko; John P Donoghue; Leigh R Hochberg
Journal:  Annu Rev Biomed Eng       Date:  2013       Impact factor: 9.590

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