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      Neural ensemble dynamics in dorsal motor cortex during speech in people with paralysis

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          Abstract

          Speaking is a sensorimotor behavior whose neural basis is difficult to study with single neuron resolution due to the scarcity of human intracortical measurements. We used electrode arrays to record from the motor cortex ‘hand knob’ in two people with tetraplegia, an area not previously implicated in speech. Neurons modulated during speaking and during non-speaking movements of the tongue, lips, and jaw. This challenges whether the conventional model of a ‘motor homunculus’ division by major body regions extends to the single-neuron scale. Spoken words and syllables could be decoded from single trials, demonstrating the potential of intracortical recordings for brain-computer interfaces to restore speech. Two neural population dynamics features previously reported for arm movements were also present during speaking: a component that was mostly invariant across initiating different words, followed by rotatory dynamics during speaking. This suggests that common neural dynamical motifs may underlie movement of arm and speech articulators.

          eLife digest

          Speaking involves some of the most precise and coordinated movements humans make. Learning how the brain produces speech could lead to better treatments for speech disorders. But it can be challenging to study. Human speech is unique, limiting what can be learned from animal studies. There also are few opportunities where it would be safe or ethical to take measurements from inside a person’s brain while they talk. Most previous studies have recorded brain activity during speech in patients who have had electrodes placed in the brain for epilepsy or Parkinson’s disease treatment.

          Now, Stavisky et al. show that brain cells that control hand and arm movements are also active during speech. Two patients who had lost the use of their arms and legs but were able to speak participated in the study. The two individuals were already enrolled in a pilot clinical trial of a brain-computer interface to help them control prosthetic devices. As part of this trial, the volunteer participants had two 100-electrode arrays surgically placed in the part of the brain that controls the movement of the arms and hands.

          This study made the unexpected discovery that brain cells multitask controlling not just arm and hand movements, but also carry information about movements of the lips, tongue and mouth necessary for speech. Stavisky et al. also found similarities in the patterns of brain activity during hand and arm movements and speech.

          By analyzing the activity in these brain cells as the two individuals recited words and syllables, Stavisky et al. were also able to train computers to identify which sound the person spoke from the brain activity alone. This is a first step towards developing a technology that could synthesize speech from a person’s brain activity as they try to speak. Much more work is needed to synthesize continuous speech. But the study provides initial evidence that it might be possible to use recordings from inside the brain to one day restore speech to individuals who have lost it.

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          Fully integrated silicon probes for high-density recording of neural activity

          Sensory, motor and cognitive operations involve the coordinated action of large neuronal populations across multiple brain regions in both superficial and deep structures. Existing extracellular probes record neural activity with excellent spatial and temporal (sub-millisecond) resolution, but from only a few dozen neurons per shank. Optical Ca2+ imaging offers more coverage but lacks the temporal resolution needed to distinguish individual spikes reliably and does not measure local field potentials. Until now, no technology compatible with use in unrestrained animals has combined high spatiotemporal resolution with large volume coverage. Here we design, fabricate and test a new silicon probe known as Neuropixels to meet this need. Each probe has 384 recording channels that can programmably address 960 complementary metal–oxide–semiconductor (CMOS) processing-compatible low-impedance TiN sites that tile a single 10-mm long, 70 × 20-μm cross-section shank. The 6 × 9-mm probe base is fabricated with the shank on a single chip. Voltage signals are filtered, amplified, multiplexed and digitized on the base, allowing the direct transmission of noise-free digital data from the probe. The combination of dense recording sites and high channel count yielded well-isolated spiking activity from hundreds of neurons per probe implanted in mice and rats. Using two probes, more than 700 well-isolated single neurons were recorded simultaneously from five brain structures in an awake mouse. The fully integrated functionality and small size of Neuropixels probes allowed large populations of neurons from several brain structures to be recorded in freely moving animals. This combination of high-performance electrode technology and scalable chip fabrication methods opens a path towards recording of brain-wide neural activity during behaviour.
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            Neural population dynamics during reaching

            Most theories of motor cortex have assumed that neural activity represents movement parameters. This view derives from an analogous approach to primary visual cortex, where neural activity represents patterns of light. Yet it is unclear how well that analogy holds. Single-neuron responses in motor cortex appear strikingly complex, and there is marked disagreement regarding which movement parameters are represented. A better analogy might be with other motor systems, where a common principle is rhythmic neural activity. We found that motor cortex responses during reaching contain a brief but strong oscillatory component, something quite unexpected for a non-periodic behavior. Oscillation amplitude and phase followed naturally from the preparatory state, suggesting a mechanistic role for preparatory neural activity. These results demonstrate unexpected yet surprisingly simple structure in the population response. That underlying structure explains many of the confusing features of individual-neuron responses.
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              High-performance neuroprosthetic control by an individual with tetraplegia.

              Paralysis or amputation of an arm results in the loss of the ability to orient the hand and grasp, manipulate, and carry objects, functions that are essential for activities of daily living. Brain-machine interfaces could provide a solution to restoring many of these lost functions. We therefore tested whether an individual with tetraplegia could rapidly achieve neurological control of a high-performance prosthetic limb using this type of an interface. We implanted two 96-channel intracortical microelectrodes in the motor cortex of a 52-year-old individual with tetraplegia. Brain-machine-interface training was done for 13 weeks with the goal of controlling an anthropomorphic prosthetic limb with seven degrees of freedom (three-dimensional translation, three-dimensional orientation, one-dimensional grasping). The participant's ability to control the prosthetic limb was assessed with clinical measures of upper limb function. This study is registered with ClinicalTrials.gov, NCT01364480. The participant was able to move the prosthetic limb freely in the three-dimensional workspace on the second day of training. After 13 weeks, robust seven-dimensional movements were performed routinely. Mean success rate on target-based reaching tasks was 91·6% (SD 4·4) versus median chance level 6·2% (95% CI 2·0-15·3). Improvements were seen in completion time (decreased from a mean of 148 s [SD 60] to 112 s [6]) and path efficiency (increased from 0·30 [0·04] to 0·38 [0·02]). The participant was also able to use the prosthetic limb to do skilful and coordinated reach and grasp movements that resulted in clinically significant gains in tests of upper limb function. No adverse events were reported. With continued development of neuroprosthetic limbs, individuals with long-term paralysis could recover the natural and intuitive command signals for hand placement, orientation, and reaching, allowing them to perform activities of daily living. Defense Advanced Research Projects Agency, National Institutes of Health, Department of Veterans Affairs, and UPMC Rehabilitation Institute. Copyright © 2013 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                10 December 2019
                2019
                : 8
                : e46015
                Affiliations
                [1 ]deptDepartment of Neurosurgery Stanford University StanfordUnited States
                [2 ]deptDepartment of Electrical Engineering Stanford University StanfordUnited States
                [3 ]deptNeurosciences Program Stanford University StanfordUnited States
                [4 ]deptDepartment of Biomedical Engineering Case Western Reserve University ClevelandUnited States
                [5 ]deptFES Center, Rehab R&D Service Louis Stokes Cleveland Department of Veterans Affairs Medical Center ClevelandUnited States
                [6 ]deptDepartment of Neurosurgery University Hospitals Cleveland Medical Center ClevelandUnited States
                [7 ]deptVA RR&D Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service Providence VA Medical Center ProvidenceUnited States
                [8 ]deptCenter for Neurotechnology and Neurorecovery, Department of Neurology Massachusetts General Hospital, Harvard Medical School BostonUnited States
                [9 ]deptSchool of Engineering and Robert J. & Nandy D. Carney Institute for Brain Science Brown University ProvidenceUnited States
                [10 ]deptDepartment of Neurobiology Stanford University StanfordUnited States
                [11 ]deptDepartment of Bioengineering Stanford University StanfordUnited States
                [12 ]Howard Hughes Medical Institute, Stanford University StanfordUnited States
                [13 ]deptWu Tsai Neurosciences Institute Stanford University StanfordUnited States
                [14 ]deptBio-X Program Stanford University StanfordUnited States
                University College London United Kingdom
                Carnegie Mellon University United States
                University College London United Kingdom
                University College London United Kingdom
                UCL United Kingdom
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-5238-0573
                https://orcid.org/0000-0003-0961-1994
                https://orcid.org/0000-0002-4803-0853
                https://orcid.org/0000-0003-0261-2273
                https://orcid.org/0000-0002-9402-1165
                https://orcid.org/0000-0002-3276-2267
                Article
                46015
                10.7554/eLife.46015
                6954053
                31820736
                227fe46a-f5de-4502-bbeb-ef7acd63d587

                This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 14 February 2019
                : 14 November 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000971, ALS Association;
                Award ID: Milton Safenowitz Postdoctoral Fellowship 17-PDF-364
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100002112, A.P. Giannini Foundation;
                Award ID: Postdoctoral Research Fellowship
                Award Recipient :
                Funded by: Wu Tsai Neurosciences Institute;
                Award ID: Interdisciplinary Scholar Award
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000861, Burroughs Wellcome Fund;
                Award ID: Career Award at the Scientific Interface
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: Graduate Research Fellowships Program DGE - 1656518
                Award Recipient :
                Funded by: Regina Casper Stanford Graduate Fellowship;
                Award ID: DGE - 1656518
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100009633, Eunice Kennedy Shriver National Institute of Child Health and Human Development;
                Award ID: R01HD077220
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000738, U.S. Department of Veterans Affairs;
                Award ID: Office of Research and Development, Rehabilitation R&D Service N9228C
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000738, U.S. Department of Veterans Affairs;
                Award ID: Office of Research and Development, Rehabilitation R&D Service B6453R
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000738, U.S. Department of Veterans Affairs;
                Award ID: Office of Research and Development, Rehabilitation R&D Service A2295R
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000738, U.S. Department of Veterans Affairs;
                Award ID: Office of Research and Development, Rehabilitation R&D Service N2864C
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000055, National Institute on Deafness and Other Communication Disorders;
                Award ID: R01DC009899
                Award Recipient :
                Funded by: Executive Committee on Research of Massachusetts General Hospital;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000065, National Institute of Neurological Disorders and Stroke;
                Award ID: 5U01NS098968-02
                Award Recipient :
                Funded by: Larry and Pamela Garlick;
                Award Recipient :
                Funded by: Samuel and Betsy Reeves;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000055, National Institute on Deafness and Other Communication Disorders;
                Award ID: R01DC014034
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000011, Howard Hughes Medical Institute;
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Human Biology and Medicine
                Neuroscience
                Custom metadata
                Neurons in human dorsal motor cortex, an area involved in controlling arm and hand movements, are also active – and show similar ensemble dynamics – during speaking.

                Life sciences
                speech,motor control,intracortical,neural dynamics,brain-computer interface,motor cortex,human

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