Literature DB >> 29772957

Brain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations.

Marc W Slutzky1.   

Abstract

Brain-machine interfaces (BMIs) have exploded in popularity in the past decade. BMIs, also called brain-computer interfaces, provide a direct link between the brain and a computer, usually to control an external device. BMIs have a wide array of potential clinical applications, ranging from restoring communication to people unable to speak due to amyotrophic lateral sclerosis or a stroke, to restoring movement to people with paralysis from spinal cord injury or motor neuron disease, to restoring memory to people with cognitive impairment. Because BMIs are controlled directly by the activity of prespecified neurons or cortical areas, they also provide a powerful paradigm with which to investigate fundamental questions about brain physiology, including neuronal behavior, learning, and the role of oscillations. This article reviews the clinical and neuroscientific applications of BMIs, with a primary focus on motor BMIs.

Entities:  

Keywords:  brain-computer interface; brain-machine interface; communication; learning; motor cortex; motor physiology; neuroprosthesis; neurorehabilitation; paralysis; stroke

Mesh:

Year:  2018        PMID: 29772957      PMCID: PMC6611552          DOI: 10.1177/1073858418775355

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  180 in total

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Journal:  J Neurophysiol       Date:  1999-11       Impact factor: 2.714

2.  The uncontrolled manifold concept: identifying control variables for a functional task.

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Journal:  Exp Brain Res       Date:  1999-06       Impact factor: 1.972

3.  Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex.

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Journal:  Neuroreport       Date:  1999-06-03       Impact factor: 1.837

5.  A spelling device for the paralysed.

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Journal:  Nature       Date:  1999-03-25       Impact factor: 49.962

6.  Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex.

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Journal:  J Neurosci Methods       Date:  1998-07-01       Impact factor: 2.390

7.  Real-time prediction of hand trajectory by ensembles of cortical neurons in primates.

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Journal:  Nature       Date:  2000-11-16       Impact factor: 49.962

Review 8.  Brain-computer communication: unlocking the locked in.

Authors:  A Kübler; B Kotchoubey; J Kaiser; J R Wolpaw; N Birbaumer
Journal:  Psychol Bull       Date:  2001-05       Impact factor: 17.737

9.  Direct control of a computer from the human central nervous system.

Authors:  P R Kennedy; R A Bakay; M M Moore; K Adams; J Goldwaithe
Journal:  IEEE Trans Rehabil Eng       Date:  2000-06

10.  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

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  11 in total

1.  Speech-related dorsal motor cortex activity does not interfere with iBCI cursor control.

Authors:  Sergey D Stavisky; Francis R Willett; Donald T Avansino; Leigh R Hochberg; Krishna V Shenoy; Jaimie M Henderson
Journal:  J Neural Eng       Date:  2020-02-05       Impact factor: 5.379

Review 2.  The science and engineering behind sensitized brain-controlled bionic hands.

Authors:  Chethan Pandarinath; Sliman J Bensmaia
Journal:  Physiol Rev       Date:  2021-09-20       Impact factor: 37.312

3.  Differential Representation of Articulatory Gestures and Phonemes in Precentral and Inferior Frontal Gyri.

Authors:  Emily M Mugler; Matthew C Tate; Karen Livescu; Jessica W Templer; Matthew A Goldrick; Marc W Slutzky
Journal:  J Neurosci       Date:  2018-09-26       Impact factor: 6.167

4.  Decoding spoken English from intracortical electrode arrays in dorsal precentral gyrus.

Authors:  Guy H Wilson; Sergey D Stavisky; Francis R Willett; Donald T Avansino; Jessica N Kelemen; Leigh R Hochberg; Jaimie M Henderson; Shaul Druckmann; Krishna V Shenoy
Journal:  J Neural Eng       Date:  2020-11-25       Impact factor: 5.379

5.  Practical real-time MEG-based neural interfacing with optically pumped magnetometers.

Authors:  Marc M Van Hulle; Richard Bowtell; Matthew J Brookes; Benjamin Wittevrongel; Niall Holmes; Elena Boto; Ryan Hill; Molly Rea; Arno Libert; Elvira Khachatryan
Journal:  BMC Biol       Date:  2021-08-10       Impact factor: 7.431

Review 6.  EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots.

Authors:  Madiha Tariq; Pavel M Trivailo; Milan Simic
Journal:  Front Hum Neurosci       Date:  2018-08-06       Impact factor: 3.169

7.  The Representation of Finger Movement and Force in Human Motor and Premotor Cortices.

Authors:  Robert D Flint; Matthew C Tate; Kejun Li; Jessica W Templer; Joshua M Rosenow; Chethan Pandarinath; Marc W Slutzky
Journal:  eNeuro       Date:  2020-08-17

8.  Inhibition of Long-Term Variability in Decoding Forelimb Trajectory Using Evolutionary Neural Networks With Error-Correction Learning.

Authors:  Shih-Hung Yang; Han-Lin Wang; Yu-Chun Lo; Hsin-Yi Lai; Kuan-Yu Chen; Yu-Hao Lan; Ching-Chia Kao; Chin Chou; Sheng-Huang Lin; Jyun-We Huang; Ching-Fu Wang; Chao-Hung Kuo; You-Yin Chen
Journal:  Front Comput Neurosci       Date:  2020-03-31       Impact factor: 2.380

Review 9.  Strategies and prospects of effective neural circuits reconstruction after spinal cord injury.

Authors:  Biao Yang; Feng Zhang; Feng Cheng; Liwei Ying; Chenggui Wang; Kesi Shi; Jingkai Wang; Kaishun Xia; Zhe Gong; Xianpeng Huang; Cao Yu; Fangcai Li; Chengzhen Liang; Qixin Chen
Journal:  Cell Death Dis       Date:  2020-06-08       Impact factor: 8.469

Review 10.  The combination of brain-computer interfaces and artificial intelligence: applications and challenges.

Authors:  Xiayin Zhang; Ziyue Ma; Huaijin Zheng; Tongkeng Li; Kexin Chen; Xun Wang; Chenting Liu; Linxi Xu; Xiaohang Wu; Duoru Lin; Haotian Lin
Journal:  Ann Transl Med       Date:  2020-06
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