Literature DB >> 17095557

Brain-computer interface technology as a tool to augment plasticity and outcomes for neurological rehabilitation.

Bruce H Dobkin1.   

Abstract

Brain-computer interfaces (BCIs) are a rehabilitation tool for tetraplegic patients that aim to improve quality of life by augmenting communication, control of the environment, and self-care. The neurobiology of both rehabilitation and BCI control depends upon learning to modify the efficacy of spared neural ensembles that represent movement, sensation and cognition through progressive practice with feedback and reward. To serve patients, BCI systems must become safe, reliable, cosmetically acceptable, quickly mastered with minimal ongoing technical support, and highly accurate even in the face of mental distractions and the uncontrolled environment beyond a laboratory. BCI technologies may raise ethical concerns if their availability affects the decisions of patients who become locked-in with brain stem stroke or amyotrophic lateral sclerosis to be sustained with ventilator support. If BCI technology becomes flexible and affordable, volitional control of cortical signals could be employed for the rehabilitation of motor and cognitive impairments in hemiplegic or paraplegic patients by offering on-line feedback about cortical activity associated with mental practice, motor intention, and other neural recruitment strategies during progressive task-oriented practice. Clinical trials with measures of quality of life will be necessary to demonstrate the value of near-term and future BCI applications.

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Mesh:

Year:  2006        PMID: 17095557      PMCID: PMC2151380          DOI: 10.1113/jphysiol.2006.123067

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


  27 in total

Review 1.  Brain-machine interfaces to restore motor function and probe neural circuits.

Authors:  Miguel A L Nicolelis
Journal:  Nat Rev Neurosci       Date:  2003-05       Impact factor: 34.870

2.  Methods for a randomized trial of weight-supported treadmill training versus conventional training for walking during inpatient rehabilitation after incomplete traumatic spinal cord injury.

Authors:  Bruce H Dobkin; David Apple; Hugues Barbeau; Michele Basso; Andrea Behrman; Dan Deforge; John Ditunno; Gary Dudley; Robert Elashoff; Lisa Fugate; Susan Harkema; Michael Saulino; Michael Scott
Journal:  Neurorehabil Neural Repair       Date:  2003-09       Impact factor: 3.919

3.  Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI).

Authors:  Nikolaus Weiskopf; Klaus Mathiak; Simon W Bock; Frank Scharnowski; Ralf Veit; Wolfgang Grodd; Rainer Goebel; Niels Birbaumer
Journal:  IEEE Trans Biomed Eng       Date:  2004-06       Impact factor: 4.538

4.  Immediate and long-term changes in corticomotor output in response to rehabilitation: correlation with functional improvements in chronic stroke.

Authors:  Lisa Koski; Thomas J Mernar; Bruce H Dobkin
Journal:  Neurorehabil Neural Repair       Date:  2004-12       Impact factor: 3.919

5.  Communicating with the "locked-in" patient: because you can do it, should you?

Authors:  Lawrence H Phillips
Journal:  Neurology       Date:  2006-08-08       Impact factor: 9.910

6.  Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.

Authors:  Jonathan R Wolpaw; Dennis J McFarland
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-07       Impact factor: 11.205

7.  Neural internet: Web surfing with brain potentials for the completely paralyzed.

Authors:  Ahmed A Karim; Thilo Hinterberger; Jürgen Richter; Jürgen Mellinger; Nicola Neumann; Herta Flor; Andrea Kübler; Niels Birbaumer
Journal:  Neurorehabil Neural Repair       Date:  2006-12       Impact factor: 3.919

8.  Instant neural control of a movement signal.

Authors:  Mijail D Serruya; Nicholas G Hatsopoulos; Liam Paninski; Matthew R Fellows; John P Donoghue
Journal:  Nature       Date:  2002-03-14       Impact factor: 49.962

9.  Ankle dorsiflexion as an fMRI paradigm to assay motor control for walking during rehabilitation.

Authors:  Bruce H Dobkin; Ann Firestine; Michele West; Kaveh Saremi; Roger Woods
Journal:  Neuroimage       Date:  2004-09       Impact factor: 6.556

10.  Methods for a multisite randomized trial to investigate the effect of constraint-induced movement therapy in improving upper extremity function among adults recovering from a cerebrovascular stroke.

Authors:  Carolee J Winstein; J Philip Miller; Sarah Blanton; Edward Taub; Gitendra Uswatte; David Morris; Deborah Nichols; Steven Wolf
Journal:  Neurorehabil Neural Repair       Date:  2003-09       Impact factor: 3.919

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  57 in total

Review 1.  Emerging subspecialties: neurorehabilitation: training neurologists to retrain the brain.

Authors:  Michael A Dimyan; Bruce H Dobkin; Leonardo G Cohen
Journal:  Neurology       Date:  2008-04-15       Impact factor: 9.910

2.  Current Trends in Robot-Assisted Upper-Limb Stroke Rehabilitation: Promoting Patient Engagement in Therapy.

Authors:  Amy A Blank; James A French; Ali Utku Pehlivan; Marcia K O'Malley
Journal:  Curr Phys Med Rehabil Rep       Date:  2014-09

3.  Trained modulation of sensorimotor rhythms can affect reaction time.

Authors:  C B Boulay; W A Sarnacki; J R Wolpaw; D J McFarland
Journal:  Clin Neurophysiol       Date:  2011-03-15       Impact factor: 3.708

Review 4.  Interfacing to the brain's motor decisions.

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

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

Authors:  Joseph N Mak; Jonathan R Wolpaw
Journal:  IEEE Rev Biomed Eng       Date:  2009

6.  Experimental Set Up of P300 Based Brain Computer Interface Using a Bioamplifier and BCI2000 System for Patients with Spinal Cord Injury.

Authors:  Hyeongseok Jeon; Dong Ah Shin
Journal:  Korean J Spine       Date:  2015-09-30

Review 7.  Review of functional near-infrared spectroscopy in neurorehabilitation.

Authors:  Masahito Mihara; Ichiro Miyai
Journal:  Neurophotonics       Date:  2016-07-12       Impact factor: 3.593

Review 8.  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

9.  Robotic lower limb exoskeletons using proportional myoelectric control.

Authors:  Daniel P Ferris; Cara L Lewis
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

10.  Medial gastrocnemius myoelectric control of a robotic ankle exoskeleton.

Authors:  Catherine R Kinnaird; Daniel P Ferris
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-02       Impact factor: 3.802

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