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Literature DB >> 26413781

Clinical translation of a high-performance neural prosthesis.

Vikash Gilja^1,2,3,4, Chethan Pandarinath^1,2,5, Christine H Blabe¹, Paul Nuyujukian^1,2,5, John D Simeral^3,6,7,8, Anish A Sarma^3,6,7,8, Brittany L Sorice⁸, János A Perge^3,6,7, Beata Jarosiewicz^6,7,9, Leigh R Hochberg^3,6,7,8,10, Krishna V Shenoy^2,5,11,12,13, Jaimie M Henderson^1,5.

Abstract

Neural prostheses have the potential to improve the quality of life of individuals with paralysis by directly mapping neural activity to limb- and computer-control signals. We translated a neural prosthetic system previously developed in animal model studies for use by two individuals with amyotrophic lateral sclerosis who had intracortical microelectrode arrays placed in motor cortex. Measured more than 1 year after implant, the neural cursor-control system showed the highest published performance achieved by a person to date, more than double that of previous pilot clinical trial participants.

Entities: Disease Gene Species

Mesh：

Year: 2015 PMID： 26413781 PMCID： PMC4805425 DOI： 10.1038/nm.3953

Source DB: PubMed Journal: Nat Med ISSN： 1078-8956 Impact factor: 53.440

30 in total

1. Point-and-click cursor control with an intracortical neural interface system by humans with tetraplegia.

Authors: Sung-Phil Kim; John D Simeral; Leigh R Hochberg; John P Donoghue; Gerhard M Friehs; Michael J Black
Journal: IEEE Trans Neural Syst Rehabil Eng Date: 2011-01-28 Impact factor: 3.802

2. A recurrent neural network for closed-loop intracortical brain-machine interface decoders.

Authors: David Sussillo; Paul Nuyujukian; Joline M Fan; Jonathan C Kao; Sergey D Stavisky; Stephen Ryu; Krishna Shenoy
Journal: J Neural Eng Date: 2012-03-19 Impact factor: 5.379

3. Advantages of closed-loop calibration in intracortical brain-computer interfaces for people with tetraplegia.

Authors: Beata Jarosiewicz; Nicolas Y Masse; Daniel Bacher; Sydney S Cash; Emad Eskandar; Gerhard Friehs; John P Donoghue; Leigh R Hochberg
Journal: J Neural Eng Date: 2013-07-10 Impact factor: 5.379

4. A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces.

Authors: John P Cunningham; Paul Nuyujukian; Vikash Gilja; Cindy A Chestek; Stephen I Ryu; Krishna V Shenoy
Journal: J Neurophysiol Date: 2010-10-13 Impact factor: 2.714

5. High-performance neuroprosthetic control by an individual with tetraplegia.

Authors: Jennifer L Collinger; Brian Wodlinger; John E Downey; Wei Wang; Elizabeth C Tyler-Kabara; Douglas J Weber; Angus J C McMorland; Meel Velliste; Michael L Boninger; Andrew B Schwartz
Journal: Lancet Date: 2012-12-17 Impact factor: 79.321

6. Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas.

Authors: Cynthia A Chestek; Vikash Gilja; Christine H Blabe; Brett L Foster; Krishna V Shenoy; Josef Parvizi; Jaimie M Henderson
Journal: J Neural Eng Date: 2013-01-31 Impact factor: 5.379

7. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.

Authors: Leigh R Hochberg; Daniel Bacher; Beata Jarosiewicz; Nicolas Y Masse; John D Simeral; Joern Vogel; Sami Haddadin; Jie Liu; Sydney S Cash; Patrick van der Smagt; John P Donoghue
Journal: Nature Date: 2012-05-16 Impact factor: 49.962

8. A high-performance neural prosthesis enabled by control algorithm design.

Authors: Vikash Gilja; Paul Nuyujukian; Cindy A Chestek; John P Cunningham; Byron M Yu; Joline M Fan; Mark M Churchland; Matthew T Kaufman; Jonathan C Kao; Stephen I Ryu; Krishna V Shenoy
Journal: Nat Neurosci Date: 2012-11-18 Impact factor: 24.884

9. An electrocorticographic brain interface in an individual with tetraplegia.

Authors: Wei Wang; Jennifer L Collinger; Alan D Degenhart; Elizabeth C Tyler-Kabara; Andrew B Schwartz; Daniel W Moran; Douglas J Weber; Brian Wodlinger; Ramana K Vinjamuri; Robin C Ashmore; John W Kelly; Michael L Boninger
Journal: PLoS One Date: 2013-02-06 Impact factor: 3.240

Review 10. Restoring sensorimotor function through intracortical interfaces: progress and looming challenges.

Authors: Sliman J Bensmaia; Lee E Miller
Journal: Nat Rev Neurosci Date: 2014-05 Impact factor: 34.870

95 in total

1. Ideas in movement: The next wave of brain-computer interfaces.

Authors: Katherine Ellen Foley
Journal: Nat Med Date: 2016-01 Impact factor: 53.440

2. A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain-machine interfaces.

Authors: Samuel R Nason; Alex K Vaskov; Matthew S Willsey; Elissa J Welle; Hyochan An; Philip P Vu; Autumn J Bullard; Chrono S Nu; Jonathan C Kao; Krishna V Shenoy; Taekwang Jang; Hun-Seok Kim; David Blaauw; Parag G Patil; Cynthia A Chestek
Journal: Nat Biomed Eng Date: 2020-07-27 Impact factor: 25.671

10. Three-Dimensional Brain-Computer Interface Control Through Simultaneous Overt Spatial Attentional and Motor Imagery Tasks.

Authors: Jianjun Meng; Taylor Streitz; Nicholas Gulachek; Daniel Suma; Bin He
Journal: IEEE Trans Biomed Eng Date: 2018-10-01 Impact factor: 4.538

Clinical translation of a high-performance neural prosthesis.

1. Point-and-click cursor control with an intracortical neural interface system by humans with tetraplegia.

2. A recurrent neural network for closed-loop intracortical brain-machine interface decoders.

3. Advantages of closed-loop calibration in intracortical brain-computer interfaces for people with tetraplegia.

4. A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces.

5. High-performance neuroprosthetic control by an individual with tetraplegia.

6. Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas.

7. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.

8. A high-performance neural prosthesis enabled by control algorithm design.

9. An electrocorticographic brain interface in an individual with tetraplegia.

Review 10. Restoring sensorimotor function through intracortical interfaces: progress and looming challenges.

1. Ideas in movement: The next wave of brain-computer interfaces.

2. A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain-machine interfaces.

3. A modular, closed-loop platform for intracranial stimulation in people with neurological disorders.

4. A rodent brain-machine interface paradigm to study the impact of paraplegia on BMI performance.

5. Decoding Native Cortical Representations for Flexion and Extension at Upper Limb Joints Using Electrocorticography.

6. Object discrimination using electrotactile feedback.

7. Neural control of finger movement via intracortical brain-machine interface.

8. Therapeutic hypothermia reduces cortical inflammation associated with utah array implants.

Review 9. Developing Collaborative Platforms to Advance Neurotechnology and Its Translation.

10. Three-Dimensional Brain-Computer Interface Control Through Simultaneous Overt Spatial Attentional and Motor Imagery Tasks.