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      An Intracortical Implantable Brain-Computer Interface for Telemetric Real-Time Recording and Manipulation of Neuronal Circuits for Closed-Loop Intervention

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          Abstract

          Recording and manipulating neuronal ensemble activity is a key requirement in advanced neuromodulatory and behavior studies. Devices capable of both recording and manipulating neuronal activity brain-computer interfaces (BCIs) should ideally operate un-tethered and allow chronic longitudinal manipulations in the freely moving animal. In this study, we designed a new intracortical BCI feasible of telemetric recording and stimulating local gray and white matter of visual neural circuit after irradiation exposure. To increase the translational reliance, we put forward a Göttingen minipig model. The animal was stereotactically irradiated at the level of the visual cortex upon defining the target by a fused cerebral MRI and CT scan. A fully implantable neural telemetry system consisting of a 64 channel intracortical multielectrode array, a telemetry capsule, and an inductive rechargeable battery was then implanted into the visual cortex to record and manipulate local field potentials, and multi-unit activity. We achieved a 3-month stability of the functionality of the un-tethered BCI in terms of telemetric radio-communication, inductive battery charging, and device biocompatibility for 3 months. Finally, we could reliably record the local signature of sub- and suprathreshold neuronal activity in the visual cortex with high bandwidth without complications. The ability to wireless induction charging combined with the entirely implantable design, the rather high recording bandwidth, and the ability to record and stimulate simultaneously put forward a wireless BCI capable of long-term un-tethered real-time communication for causal preclinical circuit-based closed-loop interventions.

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          Research domain criteria (RDoC): toward a new classification framework for research on mental disorders.

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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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              Gamma frequency entrainment attenuates amyloid load and modifies microglia.

              Changes in gamma oscillations (20-50 Hz) have been observed in several neurological disorders. However, the relationship between gamma oscillations and cellular pathologies is unclear. Here we show reduced, behaviourally driven gamma oscillations before the onset of plaque formation or cognitive decline in a mouse model of Alzheimer's disease. Optogenetically driving fast-spiking parvalbumin-positive (FS-PV)-interneurons at gamma (40 Hz), but not other frequencies, reduces levels of amyloid-β (Aβ)1-40 and Aβ 1-42 isoforms. Gene expression profiling revealed induction of genes associated with morphological transformation of microglia, and histological analysis confirmed increased microglia co-localization with Aβ. Subsequently, we designed a non-invasive 40 Hz light-flickering regime that reduced Aβ1-40 and Aβ1-42 levels in the visual cortex of pre-depositing mice and mitigated plaque load in aged, depositing mice. Our findings uncover a previously unappreciated function of gamma rhythms in recruiting both neuronal and glial responses to attenuate Alzheimer's-disease-associated pathology.
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                Author and article information

                Contributors
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                03 February 2021
                2021
                : 15
                : 618626
                Affiliations
                [1] 1Department of Neurosurgery, Center for Experimental Neuroscience (CENSE), Aarhus University Hospital , Aarhus, Denmark
                [2] 2Department of Clinical Medicine, Aarhus University , Aarhus, Denmark
                [3] 3Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University , Durham, NC, United States
                [4] 4Department of Biomedical Engineering, Pratt School of Engineering, Duke University , Durham, NC, United States
                [5] 5Leibniz Institute for Resilience Research , Mainz, Germany
                [6] 6Department of Oncology, Radiation Therapy, and Clinical Medicine, Aarhus University Hospital, Aarhus University , Aarhus, Denmark
                [7] 7Zap Surgical Systems, Inc. , San Carlos, CA, United States
                [8] 8Department of Neurosurgery, Stanford University School of Medicine , Stanford, CA, United States
                [9] 9Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine , Stanford, CA, United States
                [10] 10Department of Nuclear Medicine and PET Center, Institute of Clinical Medicine, Aarhus University and Hospital , Aarhus, Denmark
                [11] 11Institute of Pathophysiology, University Medical Center of the Johannes Gutenberg University Mainz , Mainz, Germany
                Author notes

                Edited by: Saugat Bhattacharyya, Ulster University, United Kingdom

                Reviewed by: Mitsuaki Takemi, The University of Tokyo, Japan; Richard Gault, Queen’s University Belfast, United Kingdom; Mariana P. Branco, University Medical Center Utrecht, Netherlands

                *Correspondence: Hamed Zaer, hz@ 123456clin.au.dk

                These authors have contributed equally to this work and share senior authorship

                This article was submitted to Brain-Computer Interfaces, a section of the journal Frontiers in Human Neuroscience

                Article
                10.3389/fnhum.2021.618626
                7887289
                33613212
                3ab17f96-7a1a-42cd-a432-5058cd0da787
                Copyright © 2021 Zaer, Deshmukh, Orlowski, Fan, Prouvot, Glud, Jensen, Worm, Lukacova, Mikkelsen, Fitting, Adler, Schneider, Jensen, Fu, Go, Morizio, Sørensen and Stroh.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 17 October 2020
                : 14 January 2021
                Page count
                Figures: 6, Tables: 1, Equations: 0, References: 67, Pages: 14, Words: 0
                Categories
                Neuroscience
                Original Research

                Neurosciences
                brain-machine (computer) interface,electrophysiology,neuromodulation,animal model,eeg,stereotactic radiosurgery,göttingen minipig,closed-loop

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