Literature DB >> 21436534

Using brain-computer interfaces to induce neural plasticity and restore function.

Moritz Grosse-Wentrup1, Donatella Mattia, Karim Oweiss.   

Abstract

Analyzing neural signals and providing feedback in realtime is one of the core characteristics of a brain-computer interface (BCI). As this feature may be employed to induce neural plasticity, utilizing BCI technology for therapeutic purposes is increasingly gaining popularity in the BCI community. In this paper, we discuss the state-of-the-art of research on this topic, address the principles of and challenges in inducing neural plasticity by means of a BCI, and delineate the problems of study design and outcome evaluation arising in this context. We conclude with a list of open questions and recommendations for future research in this field.

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Year:  2011        PMID: 21436534      PMCID: PMC4515347          DOI: 10.1088/1741-2560/8/2/025004

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  11 in total

1.  Beamforming in noninvasive brain-computer interfaces.

Authors:  Moritz Grosse-Wentrup; Christian Liefhold; Klaus Gramann; Martin Buss
Journal:  IEEE Trans Biomed Eng       Date:  2009-04       Impact factor: 4.538

2.  The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance.

Authors:  A R Fugl-Meyer; L Jääskö; I Leyman; S Olsson; S Steglind
Journal:  Scand J Rehabil Med       Date:  1975

Review 3.  Plasticity during stroke recovery: from synapse to behaviour.

Authors:  Timothy H Murphy; Dale Corbett
Journal:  Nat Rev Neurosci       Date:  2009-11-04       Impact factor: 34.870

4.  Self-regulation of slow cortical potentials: a new treatment for children with attention-deficit/hyperactivity disorder.

Authors:  Ute Strehl; Ulrike Leins; Gabriella Goth; Christoph Klinger; Thilo Hinterberger; Niels Birbaumer
Journal:  Pediatrics       Date:  2006-10-23       Impact factor: 7.124

5.  A clinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation.

Authors:  Kai Keng Ang; Cuntai Guan; Karen Sui Geok Chua; Beng Ti Ang; Christopher Kuah; Chuanchu Wang; Kok Soon Phua; Zheng Yang Chin; Haihong Zhang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

Review 6.  Neurofeedback and brain-computer interface clinical applications.

Authors:  Niels Birbaumer; Ander Ramos Murguialday; Cornelia Weber; Pedro Montoya
Journal:  Int Rev Neurobiol       Date:  2009       Impact factor: 3.230

7.  Biased feedback in brain-computer interfaces.

Authors:  Alvaro Barbero; Moritz Grosse-Wentrup
Journal:  J Neuroeng Rehabil       Date:  2010-07-27       Impact factor: 4.262

8.  Persisting consequences of stroke measured by the Stroke Impact Scale.

Authors:  Sue-Min Lai; Stephanie Studenski; Pamela W Duncan; Subashan Perera
Journal:  Stroke       Date:  2002-07       Impact factor: 7.914

9.  Cortical self-regulation in patients with epilepsies.

Authors:  B Rockstroh; T Elbert; N Birbaumer; P Wolf; A Düchting-Röth; M Reker; I Daum; W Lutzenberger; J Dichgans
Journal:  Epilepsy Res       Date:  1993-01       Impact factor: 3.045

10.  Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic stroke.

Authors:  Ethan Buch; Cornelia Weber; Leonardo G Cohen; Christoph Braun; Michael A Dimyan; Tyler Ard; Jurgen Mellinger; Andrea Caria; Surjo Soekadar; Alissa Fourkas; Niels Birbaumer
Journal:  Stroke       Date:  2008-02-07       Impact factor: 7.914

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  45 in total

1.  Detecting and classifying three different hand movement types through electroencephalography recordings for neurorehabilitation.

Authors:  Mads Jochumsen; Imran Khan Niazi; Kim Dremstrup; Ernest Nlandu Kamavuako
Journal:  Med Biol Eng Comput       Date:  2015-12-06       Impact factor: 2.602

Review 2.  Interfacing to the brain's motor decisions.

Authors:  Giovanni Mirabella; Mikhail А Lebedev
Journal:  J Neurophysiol       Date:  2016-12-21       Impact factor: 2.714

Review 3.  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

Review 4.  Neuroplasticity subserving the operation of brain-machine interfaces.

Authors:  Karim G Oweiss; Islam S Badreldin
Journal:  Neurobiol Dis       Date:  2015-05-09       Impact factor: 5.996

5.  Parietofrontal integrity determines neural modulation associated with grasping imagery after stroke.

Authors:  Ethan R Buch; Amirali Modir Shanechi; Alissa D Fourkas; Cornelia Weber; Niels Birbaumer; Leonardo G Cohen
Journal:  Brain       Date:  2012-01-09       Impact factor: 13.501

6.  A Single-Session Preliminary Evaluation of an Affordable BCI-Controlled Arm Exoskeleton and Motor-Proprioception Platform.

Authors:  Ahmed Mohamed Elnady; Xin Zhang; Zhen Gang Xiao; Xinyi Yong; Bubblepreet Kaur Randhawa; Lara Boyd; Carlo Menon
Journal:  Front Hum Neurosci       Date:  2015-03-30       Impact factor: 3.169

7.  Influence of motor imagination on cortical activation during functional electrical stimulation.

Authors:  Clare Reynolds; Bethel A Osuagwu; Aleksandra Vuckovic
Journal:  Clin Neurophysiol       Date:  2014-10-12       Impact factor: 3.708

8.  MEG-based neurofeedback for hand rehabilitation.

Authors:  Stephen T Foldes; Douglas J Weber; Jennifer L Collinger
Journal:  J Neuroeng Rehabil       Date:  2015-09-22       Impact factor: 4.262

9.  Assessing movement factors in upper limb kinematics decoding from EEG signals.

Authors:  Andrés Úbeda; Enrique Hortal; Eduardo Iáñez; Carlos Perez-Vidal; Jose M Azorín
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

10.  Detection of movement-related cortical potentials based on subject-independent training.

Authors:  Imran Khan Niazi; Ning Jiang; Mads Jochumsen; Jørgen Feldbæk Nielsen; Kim Dremstrup; Dario Farina
Journal:  Med Biol Eng Comput       Date:  2013-01-03       Impact factor: 2.602

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