Applications of Brain–Machine Interface Systems in Stroke Recovery and Rehabilitation

Venkatakrishnan, Anusha; Francisco, Gerard E.; Contreras-Vidal, José L.

doi:10.1007/s40141-014-0051-4

Cited by 69 publications

(48 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…neuroprosthetic or robotic devices (Venkatakrishnan et al, 2014). Recent studies suggest that BMIs will become an important component of several new strategies that strive to overcome severe stroke-related motor impairments.…”

Section: Introductionmentioning

confidence: 99%

Brain–machine interfaces in neurorehabilitation of stroke

Soekadar

Birbaumer

Slutzky

et al. 2015

Neurobiology of Disease

274

180

View full text Add to dashboard Cite

Stroke is among the leading causes of long-term disabilities leaving an increasing number of people with cognitive, affective and motor impairments depending on assistance in their daily life. While function after stroke can significantly improve in the first weeks and months, further recovery is often slow or non-existent in the more severe cases encompassing 30-50% of all stroke victims. The neurobiological mechanisms underlying recovery in those patients are incompletely understood. However, recent studies demonstrated the brain's remarkable capacity for functional and structural plasticity and recovery even in severe chronic stroke. As all established rehabilitation strategies require some remaining motor function, there is currently no standardized and accepted treatment for patients with complete chronic muscle paralysis. The development of brain-machine interfaces (BMIs) that translate brain activity into control signals of computers or external devices provides two new strategies to overcome stroke-related motor paralysis. First, BMIs can establish continuous high-dimensional brain-control of robotic devices or functional electric stimulation (FES) to assist in daily life activities (assistive BMI). Second, BMIs could facilitate neuroplasticity, thus enhancing motor learning and motor recovery (rehabilitative BMI). Advances in sensor technology, development of non-invasive and implantable wireless BMI-systems and their combination with brain stimulation, along with evidence for BMI systems' clinical efficacy suggest that BMI-related strategies will play an increasing role in neurorehabilitation of stroke.

show abstract

Section: Introductionmentioning

confidence: 99%

Brain–machine interfaces in neurorehabilitation of stroke

Soekadar

Birbaumer

Slutzky

et al. 2015

Neurobiology of Disease

274

180

View full text Add to dashboard Cite

show abstract

“…Although currently this gold standard is not determined, latency between the participant's intention and the response of a few milliseconds was related with more neuroplasticity of motor recovery and delayed movement feedback resulted as inefficient learning [33]. Appropriate BMIs can give patients the positive feedback [56][57][58]. This operant conditioning associated with the contingent reward via BMI can be linked to the positive feedback [33,37,38,59], which will lead to the increment in motivation of the participants.…”

Section: Bmi and Robot Therapy For Arm After Strokementioning

confidence: 99%

Brain-machine Interface in Robot-assisted Neurorehabilitation for Patients with Stroke and Upper Extremity Weakness – the Therapeutic Turning Point

Kim

2016

Brain Neurorehabil

View full text Add to dashboard Cite

Highlights• Robot with BMI therapy for arm after stroke has closed feedback and more chance of neural plasticity.• Understanding of the new rehabilitation technologies such as robot with BMI therapy for arm after stroke shall give the therapeutic turning point. ABSTRACTActivity and participation after stroke can be increased by neurorehabilitation of upper extremity. As the technology advances, a robot-assisted restorative therapy with/ without a brain-machine interface (BMI) is suggested as a promising therapeutic option. Understanding the therapeutic point of view about robots and BMIs can be linked to the patient-oriented usability of the devices. The therapeutic turning point concept of robotassisted rehabilitation with BMIs, basics of robotics for stroke and upper extremity weakness and consequent neuroplasticity/motor recovery are reviewed.

show abstract

“…In the United States approximately 795000 people are affected every year [12]. In Portugal, from 2007 to 2011, the record of deceased people due to stroke was over 68500 [13];…”

Section: Strokementioning

confidence: 99%

Development of a Non-invasive Brain Computer Interface for Neurorehabilitation

Pinto¹,

Ferreira²

2015

Proceedings of the 3rd 2015 Workshop on ICTs for Improving Patients Rehabilitation Research Techniques

View full text Add to dashboard Cite

perpétuo e sem limites geográficos, de arquivar e publicar esta dissertação através de exemplares impressos reproduzidos em papel ou de forma digital, ou por qualquer outro meio conhecido ou que venha a ser inventado, e de a divulgar através de repositórios científicos e de admitir a sua cópia e distribuição com objectivos educacionais ou de investigação, não comerciais, desde que seja dado crédito ao autor e editor. To my Friends and Family ACKNOWLEDGEMENTSFirst and foremost, I want to show my gratitude to my Dissertation adviser for giving me the opportunity to carry out a project in an area for which a have a keen interest: BrainComputer Interfaces. I would like to thank everyone at IBEB that has helped me and gladly volunteered to take part of the studies I conducted. I would also like to acknowledge the staff and faculty of my University, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa for providing me with the academic tools and expertise to carry out my thesis, and hopefully to build a strong professional career.Secondly, I want to thank all my friends for providing moral support and inspiration.My university pals, A Centopeia and my recent friends that have accompanied me throughout a bumpy year. Also, a special thanks to my Erasmus buddies, the Wolfpack, who give me the drive to work hard so we can reunite as often as possible. Lastly, I want to thank my good friends from the North, whom I have met the longest, and always provide an escape to the troublesome life in the Capital.

show abstract

Applications of Brain–Machine Interface Systems in Stroke Recovery and Rehabilitation

Cited by 69 publications

References 64 publications

Brain–machine interfaces in neurorehabilitation of stroke

Brain–machine interfaces in neurorehabilitation of stroke

Brain-machine Interface in Robot-assisted Neurorehabilitation for Patients with Stroke and Upper Extremity Weakness – the Therapeutic Turning Point

Development of a Non-invasive Brain Computer Interface for Neurorehabilitation

Contact Info

Product

Resources

About