Literature DB >> 24528900

Collaborative approach in the development of high-performance brain-computer interfaces for a neuroprosthetic arm: translation from animal models to human control.

Jennifer L Collinger1, Michael A Kryger, Richard Barbara, Timothy Betler, Kristen Bowsher, Elke H P Brown, Samuel T Clanton, Alan D Degenhart, Stephen T Foldes, Robert A Gaunt, Ferenc E Gyulai, Elizabeth A Harchick, Deborah Harrington, John B Helder, Timothy Hemmes, Matthew S Johannes, Kapil D Katyal, Geoffrey S F Ling, Angus J C McMorland, Karina Palko, Matthew P Para, Janet Scheuermann, Andrew B Schwartz, Elizabeth R Skidmore, Florian Solzbacher, Anita V Srikameswaran, Dennis P Swanson, Scott Swetz, Elizabeth C Tyler-Kabara, Meel Velliste, Wei Wang, Douglas J Weber, Brian Wodlinger, Michael L Boninger.   

Abstract

Our research group recently demonstrated that a person with tetraplegia could use a brain-computer interface (BCI) to control a sophisticated anthropomorphic robotic arm with skill and speed approaching that of an able-bodied person. This multiyear study exemplifies important principles in translating research from foundational theory and animal experiments into a clinical study. We present a roadmap that may serve as an example for other areas of clinical device research as well as an update on study results. Prior to conducting a multiyear clinical trial, years of animal research preceded BCI testing in an epilepsy monitoring unit, and then in a short-term (28 days) clinical investigation. Scientists and engineers developed the necessary robotic and surgical hardware, software environment, data analysis techniques, and training paradigms. Coordination among researchers, funding institutes, and regulatory bodies ensured that the study would provide valuable scientific information in a safe environment for the study participant. Finally, clinicians from neurosurgery, anesthesiology, physiatry, psychology, and occupational therapy all worked in a multidisciplinary team along with the other researchers to conduct a multiyear BCI clinical study. This teamwork and coordination can be used as a model for others attempting to translate basic science into real-world clinical situations. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  brain; clinical trials; methodology; translational research

Mesh:

Year:  2013        PMID: 24528900      PMCID: PMC3929226          DOI: 10.1111/cts.12086

Source DB:  PubMed          Journal:  Clin Transl Sci        ISSN: 1752-8054            Impact factor:   4.689


  57 in total

Review 1.  Functional mapping with ECoG spectral analysis.

Authors:  N E Crone
Journal:  Adv Neurol       Date:  2000

2.  Cortical activity during motor execution, motor imagery, and imagery-based online feedback.

Authors:  Kai J Miller; Gerwin Schalk; Eberhard E Fetz; Marcel den Nijs; Jeffrey G Ojemann; Rajesh P N Rao
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-16       Impact factor: 11.205

3.  Toward synergy-based brain-machine interfaces.

Authors:  Ramana Vinjamuri; Douglas J Weber; Zhi-Hong Mao; Jennifer L Collinger; Alan D Degenhart; John W Kelly; Michael L Boninger; Elizabeth C Tyler-Kabara; Wei Wang
Journal:  IEEE Trans Inf Technol Biomed       Date:  2011-06-23

4.  Sparse linear regression with elastic net regularization for brain-computer interfaces.

Authors:  John W Kelly; Alan D Degenhart; Daniel P Siewiorek; Asim Smailagic; Wei Wang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

5.  Cortical mechanisms related to the direction of two-dimensional arm movements: relations in parietal area 5 and comparison with motor cortex.

Authors:  J F Kalaska; R Caminiti; A P Georgopoulos
Journal:  Exp Brain Res       Date:  1983       Impact factor: 1.972

6.  Cortical adaptation to a chronic micro-electrocorticographic brain computer interface.

Authors:  Adam G Rouse; Jordan J Williams; Jesse J Wheeler; Daniel W Moran
Journal:  J Neurosci       Date:  2013-01-23       Impact factor: 6.167

7.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. I. Alpha and beta event-related desynchronization.

Authors:  N E Crone; D L Miglioretti; B Gordon; J M Sieracki; M T Wilson; S Uematsu; R P Lesser
Journal:  Brain       Date:  1998-12       Impact factor: 13.501

8.  Sevoflurane concentrations required to block autonomic hyperreflexia during transurethral litholapaxy in patients with complete spinal cord injury.

Authors:  Kyung Y Yoo; Cheol W Jeong; Seok J Kim; Sung T Chung; Hong B Bae; Kyung J Oh; Jongun Lee
Journal:  Anesthesiology       Date:  2008-05       Impact factor: 7.892

9.  Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia.

Authors:  Sung-Phil Kim; John D Simeral; Leigh R Hochberg; John P Donoghue; Michael J Black
Journal:  J Neural Eng       Date:  2008-11-18       Impact factor: 5.379

10.  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

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  15 in total

1.  A Materials Roadmap to Functional Neural Interface Design.

Authors:  Steven M Wellman; James R Eles; Kip A Ludwig; John P Seymour; Nicholas J Michelson; William E McFadden; Alberto L Vazquez; Takashi D Y Kozai
Journal:  Adv Funct Mater       Date:  2017-07-19       Impact factor: 18.808

2.  Ultrasoft microwire neural electrodes improve chronic tissue integration.

Authors:  Zhanhong Jeff Du; Christi L Kolarcik; Takashi D Y Kozai; Silvia D Luebben; Shawn A Sapp; Xin Sally Zheng; James A Nabity; X Tracy Cui
Journal:  Acta Biomater       Date:  2017-02-06       Impact factor: 8.947

3.  Performance measurement for brain-computer or brain-machine interfaces: a tutorial.

Authors:  David E Thompson; Lucia R Quitadamo; Luca Mainardi; Khalil Ur Rehman Laghari; Shangkai Gao; Pieter-Jan Kindermans; John D Simeral; Reza Fazel-Rezai; Matteo Matteucci; Tiago H Falk; Luigi Bianchi; Cynthia A Chestek; Jane E Huggins
Journal:  J Neural Eng       Date:  2014-05-19       Impact factor: 5.379

4.  Multi-scale, multi-modal analysis uncovers complex relationship at the brain tissue-implant neural interface: new emphasis on the biological interface.

Authors:  Nicholas J Michelson; Alberto L Vazquez; James R Eles; Joseph W Salatino; Erin K Purcell; Jordan J Williams; X Tracy Cui; Takashi D Y Kozai
Journal:  J Neural Eng       Date:  2017-11-28       Impact factor: 5.379

5.  Remapping cortical modulation for electrocorticographic brain-computer interfaces: a somatotopy-based approach in individuals with upper-limb paralysis.

Authors:  Alan D Degenhart; Shivayogi V Hiremath; Ying Yang; Stephen Foldes; Jennifer L Collinger; Michael Boninger; Elizabeth C Tyler-Kabara; Wei Wang
Journal:  J Neural Eng       Date:  2018-04       Impact factor: 5.379

6.  Electrical Stimulation as a Tool to Promote Plasticity of the Injured Spinal Cord.

Authors:  Andrew S Jack; Caitlin Hurd; John Martin; Karim Fouad
Journal:  J Neurotrauma       Date:  2020-07-08       Impact factor: 5.269

7.  Engagement, Exploitation, and Human Intracranial Electrophysiology Research.

Authors:  Michelle T Pham; Nader Pouratian; Ashley Feinsinger
Journal:  Neuroethics       Date:  2022-08-13       Impact factor: 1.427

8.  Noninvasive neuroimaging enhances continuous neural tracking for robotic device control.

Authors:  B J Edelman; J Meng; D Suma; C Zurn; E Nagarajan; B S Baxter; C C Cline; B He
Journal:  Sci Robot       Date:  2019-06-19

9.  Ethical commitments, principles, and practices guiding intracranial neuroscientific research in humans.

Authors:  Ashley Feinsinger; Nader Pouratian; Hamasa Ebadi; Ralph Adolphs; Richard Andersen; Michael S Beauchamp; Edward F Chang; Nathan E Crone; Jennifer L Collinger; Itzhak Fried; Adam Mamelak; Mark Richardson; Ueli Rutishauser; Sameer A Sheth; Nanthia Suthana; Nitin Tandon; Daniel Yoshor
Journal:  Neuron       Date:  2022-01-19       Impact factor: 18.688

Review 10.  Brain computer interface learning for systems based on electrocorticography and intracortical microelectrode arrays.

Authors:  Shivayogi V Hiremath; Weidong Chen; Wei Wang; Stephen Foldes; Ying Yang; Elizabeth C Tyler-Kabara; Jennifer L Collinger; Michael L Boninger
Journal:  Front Integr Neurosci       Date:  2015-06-10
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