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Zhao H, Feng Z, Hao S, Tan H, Zhan S, Liu W, Lu Y, Cao C. A Virtual Reality (VR) based Comprehensive Freezing of Gait (FOG) Neuro-electrophysiologic Evaluation System for People with Parkinson's Disease (PD). ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-5. [PMID: 38082626 DOI: 10.1109/embc40787.2023.10340628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Although Freezing of gait (FOG) is one of the most frustrating phenomena for people with Parkinson's Disease (PD), especially in their advanced stage, it is one of the least explained syndromes. The current studies only showed beta oscillations existed in frontal cortex-basal ganglia networks. Further studies need to be carried out. However, simultaneously recording neuro-electrophysiologic signals during walking is always a challenge, especially for Electroencephalogram (EEG) and Local Field Potential (LFP). This paper demonstrated a Virtual Reality (VR) based system which can trigger FOG and record biological signals at the same time. Moreover, the utilisation of VR will significantly decrease space requirements. It will provide a safer and more convenient evaluation environment for future participants. One participant with PD helped to validate the feasibility of the system. The result showed that both EEG and LFP could be recorded at the same time with trigger markers. This system design can be used to trigger freezing episodes in the controlled environment, differentiate subtypes of gait difficulties, and identify neural signatures associated with freezing episodes.Clinical relevance - This paper proposed a VR-based comprehensive FOG neuro-electrophysiologic evaluation system for people with PD. It had the advantages of minimum space requirement and wireless LFP data collection without externalised leads. This paper was to indicate a larger study which would formally recruit larger populations with PD and FOG. Future studies would explore FOG-related brain network coherence.
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Morrone CD, Tsang AA, Giorshev SM, Craig EE, Yu WH. Concurrent behavioral and electrophysiological longitudinal recordings for in vivo assessment of aging. Front Aging Neurosci 2023; 14:952101. [PMID: 36742209 PMCID: PMC9891465 DOI: 10.3389/fnagi.2022.952101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 12/12/2022] [Indexed: 01/19/2023] Open
Abstract
Electrophysiological and behavioral alterations, including sleep and cognitive impairments, are critical components of age-related decline and neurodegenerative diseases. In preclinical investigation, many refined techniques are employed to probe these phenotypes, but they are often conducted separately. Herein, we provide a protocol for one-time surgical implantation of EMG wires in the nuchal muscle and a skull-surface EEG headcap in mice, capable of 9-to-12-month recording longevity. All data acquisitions are wireless, making them compatible with simultaneous EEG recording coupled to multiple behavioral tasks, as we demonstrate with locomotion/sleep staging during home-cage video assessments, cognitive testing in the Barnes maze, and sleep disruption. Time-course EEG and EMG data can be accurately mapped to the behavioral phenotype and synchronized with neuronal frequencies for movement and the location to target in the Barnes maze. We discuss critical steps for optimizing headcap surgery and alternative approaches, including increasing the number of EEG channels or utilizing depth electrodes with the system. Combining electrophysiological and behavioral measurements in preclinical models of aging and neurodegeneration has great potential for improving mechanistic and therapeutic assessments and determining early markers of brain disorders.
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Affiliation(s)
- Christopher Daniel Morrone
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada,*Correspondence: Christopher Daniel Morrone,
| | - Arielle A. Tsang
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada,Department of Biological Sciences, University of Toronto Scarborough, Toronto, ON, Canada
| | - Sarah M. Giorshev
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada,Department of Psychology, University of Toronto Scarborough, Toronto, ON, Canada
| | - Emily E. Craig
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Wai Haung Yu
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada,Geriatric Mental Health Research Services, Centre for Addiction and Mental Health, Toronto, ON, Canada,Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada,Wai Haung Yu,
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3
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Affiliation(s)
- Alicja Puścian
- Nencki-EMBL Partnership for Neural Plasticity and Brain Disorders – BRAINCITY, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur 3 Street, 02-093 Warsaw, Poland
| | - Ewelina Knapska
- Nencki-EMBL Partnership for Neural Plasticity and Brain Disorders – BRAINCITY, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur 3 Street, 02-093 Warsaw, Poland
- Corresponding author
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Parastarfeizabadi M, Sillitoe RV, Kouzani AZ. Multi-disease Deep Brain Stimulation. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2020; 8:216933-216947. [PMID: 33381359 PMCID: PMC7771650 DOI: 10.1109/access.2020.3041942] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Current closed-loop deep brain stimulation (DBS) devices can generally tackle one disorder. This paper presents the design and evaluation of a multi-disease closed-loop DBS device that can sense multiple brain biomarkers, detect a disorder, and adaptively deliver electrical stimulation pulses based on the disease state. The device consists of: (i) a neural sensor, (ii) a controller involving a feature extractor, a disease classifier, and a control strategy, and (iii) neural stimulator. The neural sensor records and processes local field potentials and spikes from within the brain using two low-frequency and high-frequency channels. The feature extractor digitally processes the output of the neural sensor, and extracts five potential biomarkers: alpha, beta, slow gamma, high-frequency oscillations, and spikes. The disease classifier identifies the type of the neurological disorder through an analysis of the biomarkers' amplitude features. The control strategy considers the disease state and supplies the stimulation settings to the neural stimulator. Both the disease classifier and control strategy are based on fuzzy algorithms. The neural stimulator generates electrical stimulation pulses according to the control commands, and delivers them to the target area of the brain. The device can generate current stimulation pulses with specific amplitude, frequency, and duration. The fabricated device has the maximum radius of 15 mm. Its total weight including the circuit board, battery and battery holder is 5.1 g. The performance of the integrated device has been evaluated through six bench and in-vitro experiments. The experimental results are presented, analyzed, and discussed. Six bench and in-vitro experiments were conducted using sinusoidal, normal pre-recorded, and diseased neural signals representing normal, epilepsy, depression and PD conditions. The results obtained through these tests indicate the successful neural sensing, classification, control, and neural stimulating performance.
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Affiliation(s)
| | - Roy V. Sillitoe
- Department of Pathology and Immunology, Department of Neuroscience, Jan and Dan Duncan Neurological Research Institute, and Baylor College of Medicine, Texas Children’s Hospital, Houston, TX 77030, USA
| | - Abbas Z. Kouzani
- School of Engineering, Deakin University, Geelong, VIC 3216, Australia
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Bjerre AS, Palmer LM. Probing Cortical Activity During Head-Fixed Behavior. Front Mol Neurosci 2020; 13:30. [PMID: 32180705 PMCID: PMC7059801 DOI: 10.3389/fnmol.2020.00030] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 02/10/2020] [Indexed: 01/20/2023] Open
Abstract
The cortex is crucial for many behaviors, ranging from sensory-based behaviors to working memory and social behaviors. To gain an in-depth understanding of the contribution to these behaviors, cellular and sub-cellular recordings from both individual and populations of cortical neurons are vital. However, techniques allowing such recordings, such as two-photon imaging and whole-cell electrophysiology, require absolute stability of the head, a requirement not often fulfilled in freely moving animals. Here, we review and compare behavioral paradigms that have been developed and adapted for the head-fixed preparation, which together offer the needed stability for live recordings of neural activity in behaving animals. We also review how the head-fixed preparation has been used to explore the function of primary sensory cortices, posterior parietal cortex (PPC) and anterior lateral motor (ALM) cortex in sensory-based behavioral tasks, while also discussing the considerations of performing such recordings. Overall, this review highlights the head-fixed preparation as allowing in-depth investigation into the neural activity underlying behaviors by providing highly controllable settings for precise stimuli presentation which can be combined with behavioral paradigms ranging from simple sensory detection tasks to complex, cross-modal, memory-guided decision-making tasks.
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Affiliation(s)
- Ann-Sofie Bjerre
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Lucy M Palmer
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
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Petkos K, Koutsoftidis S, Guiho T, Degenaar P, Jackson A, Greenwald SE, Brown P, Denison T, Drakakis EM. A high-performance 8 nV/√Hz 8-channel wearable and wireless system for real-time monitoring of bioelectrical signals. J Neuroeng Rehabil 2019; 16:156. [PMID: 31823804 PMCID: PMC6905040 DOI: 10.1186/s12984-019-0629-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 11/26/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND It is widely accepted by the scientific community that bioelectrical signals, which can be used for the identification of neurophysiological biomarkers indicative of a diseased or pathological state, could direct patient treatment towards more effective therapeutic strategies. However, the design and realisation of an instrument that can precisely record weak bioelectrical signals in the presence of strong interference stemming from a noisy clinical environment is one of the most difficult challenges associated with the strategy of monitoring bioelectrical signals for diagnostic purposes. Moreover, since patients often have to cope with the problem of limited mobility being connected to bulky and mains-powered instruments, there is a growing demand for small-sized, high-performance and ambulatory biopotential acquisition systems in the Intensive Care Unit (ICU) and in High-dependency wards. Finally, to the best of our knowledge, there are no commercial, small, battery-powered, wearable and wireless recording-only instruments that claim the capability of recording electrocorticographic (ECoG) signals. METHODS To address this problem, we designed and developed a low-noise (8 nV/√Hz), eight-channel, battery-powered, wearable and wireless instrument (55 × 80 mm2). The performance of the realised instrument was assessed by conducting both ex vivo and in vivo experiments. RESULTS To provide ex vivo proof-of-function, a wide variety of high-quality bioelectrical signal recordings are reported, including electroencephalographic (EEG), electromyographic (EMG), electrocardiographic (ECG), acceleration signals, and muscle fasciculations. Low-noise in vivo recordings of weak local field potentials (LFPs), which were wirelessly acquired in real time using segmented deep brain stimulation (DBS) electrodes implanted in the thalamus of a non-human primate, are also presented. CONCLUSIONS The combination of desirable features and capabilities of this instrument, namely its small size (~one business card), its enhanced recording capabilities, its increased processing capabilities, its manufacturability (since it was designed using discrete off-the-shelf components), the wide bandwidth it offers (0.5-500 Hz) and the plurality of bioelectrical signals it can precisely record, render it a versatile and reliable tool to be utilized in a wide range of applications and environments.
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Affiliation(s)
- Konstantinos Petkos
- Department of Bioengineering, Imperial College London, Prince Consort Road, London, SW7 2AZ, UK
- Center for Neurotechnology, Imperial College London, Prince Consort Road, London, SW7 2AZ, UK
| | - Simos Koutsoftidis
- Department of Bioengineering, Imperial College London, Prince Consort Road, London, SW7 2AZ, UK
| | - Thomas Guiho
- Institute of Neuroscience, Newcastle University, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK
| | - Patrick Degenaar
- School of Electrical & Electronic Engineering, Newcastle University, Merz Court, Newcastle upon Tyne, NE1 7RU, UK
| | - Andrew Jackson
- Institute of Neuroscience, Newcastle University, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK
| | - Stephen E Greenwald
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK
| | - Peter Brown
- MRC Brain Network Dynamics Unit, University of Oxford, Mansfield Road, Oxford, OX1 3TH, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Timothy Denison
- MRC Brain Network Dynamics Unit, University of Oxford, Mansfield Road, Oxford, OX1 3TH, UK
| | - Emmanuel M Drakakis
- Department of Bioengineering, Imperial College London, Prince Consort Road, London, SW7 2AZ, UK.
- Center for Neurotechnology, Imperial College London, Prince Consort Road, London, SW7 2AZ, UK.
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Mayr KA, Young L, Molina LA, Tran MA, Whelan PJ. An economical solution to record and control wheel-running for group-housed mice. J Neurosci Methods 2019; 331:108482. [PMID: 31733283 DOI: 10.1016/j.jneumeth.2019.108482] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 10/18/2019] [Accepted: 10/26/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND The effects of exercise on brain function are widely known; however, there is a need for inexpensive, practical solutions for monitoring and metering the activity of multiple mice. NEW METHOD A contoured running wheel that has a built-in radio-frequency identification (RFID) receiver to monitor the activity of several mice in a single cage is presented. This system is scalable , the interface is easy to use, and the wheel can be dynamically locked so that each group-housed mouse receives a set exercise regimen. RESULTS We were able to reliably monitor three mice that were group-housed. We were able to reliably meter the amount of exercise performed by the mice using the servo-controlled lock. COMPARISON WITH EXISTING METHODS Current methods allow a wheel to be locked when a set distance is reached. However, an issue with this method is that the set distance includes the cumulative activity of all mice in the cage so one mouse could contribute a disproportionate amount to the total distance. Our solution ensures that the wheel is locked when an individual mouse reaches the target distance, but remains unlocked for individuals that have not reached the programmed distance. CONCLUSIONS The dynamic locking wheel (DynaLok) is designed to allow a researcher to provide individually designed exercise plans for multi-housed mice; therefore, users are able to house mice conventionally rather than in individual cages. DynaLok reduces animal housing costs, allows for new experimental exercise regimens to be developed, and is scalable and cost-effective.
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Affiliation(s)
- Kyle A Mayr
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Neuroscience, University of Calgary, Calgary, AB, Canada; Department of Comparative Biology and Experimental Medicine, University of Calgary, Calgary, AB, Canada
| | - Leanne Young
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Comparative Biology and Experimental Medicine, University of Calgary, Calgary, AB, Canada
| | - Leonardo A Molina
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Michelle A Tran
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Comparative Biology and Experimental Medicine, University of Calgary, Calgary, AB, Canada
| | - Patrick J Whelan
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Comparative Biology and Experimental Medicine, University of Calgary, Calgary, AB, Canada.
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Petkos K, Guiho T, Degenaar P, Jackson A, Brown P, Denison T, Drakakis EM. A high-performance 4 nV (√Hz) -1 analog front-end architecture for artefact suppression in local field potential recordings during deep brain stimulation. J Neural Eng 2019; 16:066003. [PMID: 31151118 PMCID: PMC6877351 DOI: 10.1088/1741-2552/ab2610] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Recording of local field potentials (LFPs) during deep brain stimulation (DBS) is necessary to investigate the instantaneous brain response to stimulation, minimize time delays for closed-loop neurostimulation and maximise the available neural data. To our knowledge, existing recording systems lack the ability to provide artefact-free high-frequency (>100 Hz) LFP recordings during DBS in real time primarily because of the contamination of the neural signals of interest by the stimulation artefacts. APPROACH To solve this problem, we designed and developed a novel, low-noise and versatile analog front-end (AFE) that uses a high-order (8th) analog Chebyshev notch filter to suppress the artefacts originating from the stimulation frequency. After defining the system requirements for concurrent LFP recording and DBS artefact suppression, we assessed the performance of the realised AFE by conducting both in vitro and in vivo experiments using unipolar and bipolar DBS (monophasic pulses, amplitude ranging from 3 to 6 V peak-to-peak, frequency 140 Hz and pulse width 100 µs). A full performance comparison between the proposed AFE and an identical AFE, equipped with an 8th order analog Bessel notch filter, was also conducted. MAIN RESULTS A high-performance, 4 nV ([Formula: see text])-1 AFE that is capable of recording nV-scale signals was designed in accordance with the imposed specifications. Under both in vitro and in vivo experimental conditions, the proposed AFE provided real-time, low-noise and artefact-free LFP recordings (in the frequency range 0.5-250 Hz) during stimulation. Its sensing and stimulation artefact suppression capabilities outperformed the capabilities of the AFE equipped with the Bessel notch filter. SIGNIFICANCE The designed AFE can precisely record LFP signals, in and without the presence of either unipolar or bipolar DBS, which renders it as a functional and practical AFE architecture to be utilised in a wide range of applications and environments. This work paves the way for the development of externalized research tools for closed-loop neuromodulation that use low- and higher-frequency LFPs as control signals.
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Affiliation(s)
- Konstantinos Petkos
- Department of Bioengineering, Imperial College London, London, United Kingdom. Center for Neurotechnology, Imperial College London, London, United Kingdom
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Parastarfeizabadi M, Kouzani AZ. A Miniature Dual-Biomarker-Based Sensing and Conditioning Device for Closed-Loop DBS. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM 2019; 7:2000308. [PMID: 31667027 PMCID: PMC6752632 DOI: 10.1109/jtehm.2019.2937776] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2018] [Revised: 05/03/2019] [Accepted: 08/20/2019] [Indexed: 01/15/2023]
Abstract
In this paper, a dual-biomarker-based neural sensing and conditioning device is proposed for closing the feedback loop in deep brain stimulation devices. The device explores both local field potentials (LFPs) and action potentials (APs) as measured biomarkers. It includes two channels, each having four main parts: (1) a pre-amplifier with built-in low-pass filter, (2) a ground shifting circuit, (3) an amplifier with low-pass function, and (4) a high-pass filter. The design specifications include miniature-size, light-weight, and 100 dB gain in the LFP and AP channels. This device has been validated through bench and in-vitro tests. The bench tests have been performed using different sinusoidal signals and pre-recorded neural signals. The in-vitro tests have been conducted in the saline solution that mimics the brain environment. The total weight of the device including a 3 V coin battery, and battery holder is 1.2 g. The diameter of the device is 11.2 mm. The device can be used to concurrently sense LFPs and APs for closing the feedback loop in closed-loop deep brain stimulation systems. It provides a tetherless head-mountable platform suitable for pre-clinical trials.
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Affiliation(s)
| | - Abbas Z Kouzani
- School of EngineeringDeakin UniversityGeelongVIC3216Australia
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Qazi R, Gomez AM, Castro DC, Zou Z, Sim JY, Xiong Y, Abdo J, Kim CY, Anderson A, Lohner F, Byun SH, Chul Lee B, Jang KI, Xiao J, Bruchas MR, Jeong JW. Wireless optofluidic brain probes for chronic neuropharmacology and photostimulation. Nat Biomed Eng 2019; 3:655-669. [DOI: 10.1038/s41551-019-0432-1] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 06/21/2019] [Indexed: 12/11/2022]
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Parastarfeizabadi M, Kouzani AZ, Beckinghausen J, Lin T, Sillitoe RV. A Programmable Multi-biomarker Neural Sensor for Closed-loop DBS. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2018; 7:230-244. [PMID: 30976472 PMCID: PMC6453143 DOI: 10.1109/access.2018.2885336] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Most of the current closed-loop DBS devices use a single biomarker in their feedback loop which may limit their performance and applications. This paper presents design, fabrication, and validation of a programmable multi-biomarker neural sensor which can be integrated into closed-loop DBS devices. The device is capable of sensing a combination of low-frequency (7-45 Hz), and high-frequency (200-1000 Hz) neural signals. The signals can be amplified with a digitally programmable gain within the range 50-100 dB. The neural signals can be stored into a local memory for processing and validation. The sensing and storage functions are implemented via a combination of analog and digital circuits involving preamplifiers, filters, programmable post-amplifiers, microcontroller, digital potentiometer, and flash memory. The device is fabricated, and its performance is validated through: (i) bench tests using sinusoidal and pre-recorded neural signals, (ii) in-vitro tests using pre-recorded neural signals in saline solution, and (iii) in-vivo tests by recording neural signals from freely-moving laboratory mice. The animals were implanted with a PlasticsOne electrode, and recording was conducted after recovery from the electrode implantation surgery. The experimental results are presented and discussed confirming the successful operation of the device. The size and weight of the device enable tetherless back-mountable use in pre-clinical trials.
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Affiliation(s)
| | - Abbas Z. Kouzani
- School of Engineering, Deakin University, Geelong, VIC 3216, Australia
| | - Jaclyn Beckinghausen
- Department of Pathology and Immunology, Department of Neuroscience, and Jan and Dan Duncan Neurological Research Institute of Texas Children’s Hospital, 1250 Moursund Street, Suite 1325, Houston Texas 77030, USA
| | - Tao Lin
- Department of Pathology and Immunology, and Jan and Dan Duncan Neurological Research Institute of Texas Children’s Hospital, 1250 Moursund Street, Suite 1325, Houston Texas 77030, USA
| | - Roy V. Sillitoe
- Department of Pathology and Immunology, Department of Neuroscience, Program in Developmental Biology, Baylor College of Medicine, and Jan and Dan Duncan Neurological Research Institute of Texas Children’s Hospital, 1250 Moursund Street, Suite 1325, Houston Texas 77030, USA
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An Implantable Wireless Neural Interface System for Simultaneous Recording and Stimulation of Peripheral Nerve with a Single Cuff Electrode. SENSORS 2017; 18:s18010001. [PMID: 29267230 PMCID: PMC5795569 DOI: 10.3390/s18010001] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 12/15/2017] [Accepted: 12/15/2017] [Indexed: 12/02/2022]
Abstract
Recently, implantable devices have become widely used in neural prostheses because they eliminate endemic drawbacks of conventional percutaneous neural interface systems. However, there are still several issues to be considered: low-efficiency wireless power transmission; wireless data communication over restricted operating distance with high power consumption; and limited functionality, working either as a neural signal recorder or as a stimulator. To overcome these issues, we suggest a novel implantable wireless neural interface system for simultaneous neural signal recording and stimulation using a single cuff electrode. By using widely available commercial off-the-shelf (COTS) components, an easily reconfigurable implantable wireless neural interface system was implemented into one compact module. The implantable device includes a wireless power consortium (WPC)-compliant power transmission circuit, a medical implant communication service (MICS)-band-based radio link and a cuff-electrode path controller for simultaneous neural signal recording and stimulation. During in vivo experiments with rabbit models, the implantable device successfully recorded and stimulated the tibial and peroneal nerves while communicating with the external device. The proposed system can be modified for various implantable medical devices, especially such as closed-loop control based implantable neural prostheses requiring neural signal recording and stimulation at the same time.
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Parastarfeizabadi M, Kouzani AZ. Advances in closed-loop deep brain stimulation devices. J Neuroeng Rehabil 2017; 14:79. [PMID: 28800738 PMCID: PMC5553781 DOI: 10.1186/s12984-017-0295-1] [Citation(s) in RCA: 106] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 08/04/2017] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Millions of patients around the world are affected by neurological and psychiatric disorders. Deep brain stimulation (DBS) is a device-based therapy that could have fewer side-effects and higher efficiencies in drug-resistant patients compared to other therapeutic options such as pharmacological approaches. Thus far, several efforts have been made to incorporate a feedback loop into DBS devices to make them operate in a closed-loop manner. METHODS This paper presents a comprehensive investigation into the existing research-based and commercial closed-loop DBS devices. It describes a brief history of closed-loop DBS techniques, biomarkers and algorithms used for closing the feedback loop, components of the current research-based and commercial closed-loop DBS devices, and advancements and challenges in this field of research. This review also includes a comparison of the closed-loop DBS devices and provides the future directions of this area of research. RESULTS Although we are in the early stages of the closed-loop DBS approach, there have been fruitful efforts in design and development of closed-loop DBS devices. To date, only one commercial closed-loop DBS device has been manufactured. However, this system does not have an intelligent and patient dependent control algorithm. A closed-loop DBS device requires a control algorithm to learn and optimize the stimulation parameters according to the brain clinical state. CONCLUSIONS The promising clinical effects of open-loop DBS have been demonstrated, indicating DBS as a pioneer technology and treatment option to serve neurological patients. However, like other commercial devices, DBS needs to be automated and modernized.
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Affiliation(s)
| | - Abbas Z. Kouzani
- School of Engineering, Deakin University, Waurn Ponds, VIC 3216 Australia
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Sim JY, Haney MP, Park SI, McCall JG, Jeong JW. Microfluidic neural probes: in vivo tools for advancing neuroscience. LAB ON A CHIP 2017; 17:1406-1435. [PMID: 28349140 DOI: 10.1039/c7lc00103g] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Microfluidic neural probes hold immense potential as in vivo tools for dissecting neural circuit function in complex nervous systems. Miniaturization, integration, and automation of drug delivery tools open up new opportunities for minimally invasive implants. These developments provide unprecedented spatiotemporal resolution in fluid delivery as well as multifunctional interrogation of neural activity using combined electrical and optical modalities. Capitalizing on these unique features, microfluidic technology will greatly advance in vivo pharmacology, electrophysiology, optogenetics, and optopharmacology. In this review, we discuss recent advances in microfluidic neural probe systems. In particular, we will highlight the materials and manufacturing processes of microfluidic probes, device configurations, peripheral devices for fluid handling and packaging, and wireless technologies that can be integrated for the control of these microfluidic probe systems. This article summarizes various microfluidic implants and discusses grand challenges and future directions for further developments.
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Affiliation(s)
- Joo Yong Sim
- Electronics and Telecommunications Research Institute, Bio-Medical IT Convergence Research Department, Daejeon, 34129, Republic of Korea
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15
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Limnuson K, Narayan RK, Chiluwal A, Golanov EV, Bouton CE, Li C. A User-Configurable Headstage for Multimodality Neuromonitoring in Freely Moving Rats. Front Neurosci 2016; 10:382. [PMID: 27594826 PMCID: PMC4990626 DOI: 10.3389/fnins.2016.00382] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2016] [Accepted: 08/05/2016] [Indexed: 11/21/2022] Open
Abstract
Multimodal monitoring of brain activity, physiology, and neurochemistry is an important approach to gain insight into brain function, modulation, and pathology. With recent progress in micro- and nanotechnology, micro-nano-implants have become important catalysts in advancing brain research. However, to date, only a limited number of brain parameters have been measured simultaneously in awake animals in spite of significant recent progress in sensor technology. Here we have provided a cost and time effective approach to designing a headstage to conduct a multimodality brain monitoring in freely moving animals. To demonstrate this method, we have designed a user-configurable headstage for our micromachined multimodal neural probe. The headstage can reliably record direct-current electrocorticography (DC-ECoG), brain oxygen tension (PbrO2), cortical temperature, and regional cerebral blood flow (rCBF) simultaneously without significant signal crosstalk or movement artifacts for 72 h. Even in a noisy environment, it can record low-level neural signals with high quality. Moreover, it can easily interface with signal conditioning circuits that have high power consumption and are difficult to miniaturize. To the best of our knowledge, this is the first time where multiple physiological, biochemical, and electrophysiological cerebral variables have been simultaneously recorded from freely moving rats. We anticipate that the developed system will aid in gaining further insight into not only normal cerebral functioning but also pathophysiology of conditions such as epilepsy, stroke, and traumatic brain injury.
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Affiliation(s)
- Kanokwan Limnuson
- Cushing Neuromonitoring Laboratory, The Feinstein Institute for Medical Research Manhasset, NY, USA
| | - Raj K Narayan
- Cushing Neuromonitoring Laboratory, The Feinstein Institute for Medical ResearchManhasset, NY, USA; Department of Neurosurgery, Hofstra Northwell School of MedicineHempstead, NY, USA
| | - Amrit Chiluwal
- Department of Neurosurgery, Hofstra Northwell School of Medicine Hempstead, NY, USA
| | - Eugene V Golanov
- Cushing Neuromonitoring Laboratory, The Feinstein Institute for Medical Research Manhasset, NY, USA
| | - Chad E Bouton
- Center for Bioelectronic Medicine, The Feinstein Institute for Medical Research Manhasset, NY, USA
| | - Chunyan Li
- Cushing Neuromonitoring Laboratory, The Feinstein Institute for Medical ResearchManhasset, NY, USA; Department of Neurosurgery, Hofstra Northwell School of MedicineHempstead, NY, USA; Center for Bioelectronic Medicine, The Feinstein Institute for Medical ResearchManhasset, NY, USA
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