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Fu P, Liu Y, Zhu L, Wang M, Yu Y, Yang F, Zhang W, Zhang H, Shoham S, Roe AW, Xi W. Two-photon imaging of excitatory and inhibitory neural response to infrared neural stimulation. NEUROPHOTONICS 2024; 11:025003. [PMID: 38800606 PMCID: PMC11125280 DOI: 10.1117/1.nph.11.2.025003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 04/29/2024] [Accepted: 04/30/2024] [Indexed: 05/29/2024]
Abstract
Significance Pulsed infrared neural stimulation (INS, 1875 nm) is an emerging neurostimulation technology that delivers focal pulsed heat to activate functionally specific mesoscale networks and holds promise for clinical application. However, little is known about its effect on excitatory and inhibitory cell types in cerebral cortex. Aim Estimates of summed population neuronal response time courses provide a potential basis for neural and hemodynamic signals described in other studies. Approach Using two-photon calcium imaging in mouse somatosensory cortex, we have examined the effect of INS pulse train application on hSyn neurons and mDlx neurons tagged with GCaMP6s. Results We find that, in anesthetized mice, each INS pulse train reliably induces robust response in hSyn neurons exhibiting positive going responses. Surprisingly, mDlx neurons exhibit negative going responses. Quantification using the index of correlation illustrates responses are reproducible, intensity-dependent, and focal. Also, a contralateral activation is observed when INS applied. Conclusions In sum, the population of neurons stimulated by INS includes both hSyn and mDlx neurons; within a range of stimulation intensities, this leads to overall excitation in the stimulated population, leading to the previously observed activations at distant post-synaptic sites.
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Affiliation(s)
- Peng Fu
- Second Affiliated Hospital, Zhejiang University, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Hangzhou, China
| | - Yin Liu
- Second Affiliated Hospital, Zhejiang University, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Hangzhou, China
- KU Leuven Medical School, Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, Leuven, Belgium
| | - Liang Zhu
- Second Affiliated Hospital, Zhejiang University, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Hangzhou, China
- Zhejiang University, College of Biomedical Engineering and Instrument Science, Key Laboratory of Biomedical Engineering of Ministry of Education, Hangzhou, China
| | - Mengqi Wang
- Second Affiliated Hospital, Zhejiang University, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Hangzhou, China
| | - Yuan Yu
- Second Affiliated Hospital, Zhejiang University, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Hangzhou, China
| | - Fen Yang
- Second Affiliated Hospital, Zhejiang University, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Hangzhou, China
| | - Weijie Zhang
- Zhejiang University, College of Biomedical Engineering and Instrument Science, Key Laboratory of Biomedical Engineering of Ministry of Education, Hangzhou, China
| | - Hequn Zhang
- Second Affiliated Hospital, Zhejiang University, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Hangzhou, China
| | - Shy Shoham
- NYU Langone Health, Department of Ophthalmology and Tech4Health and Neuroscience Institutes, New York, New York, United States
| | - Anna Wang Roe
- Second Affiliated Hospital, Zhejiang University, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Hangzhou, China
- Zhejiang University, MOE Frontier Science Center for Brain Research and Brain Machine Integration, Hangzhou, China
- Zhejiang University, NHC and CAMS Key Laboratory of Medical Neurobiology, Hangzhou, China
| | - Wang Xi
- Second Affiliated Hospital, Zhejiang University, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Hangzhou, China
- Zhejiang University, MOE Frontier Science Center for Brain Research and Brain Machine Integration, Hangzhou, China
- Zhejiang University, NHC and CAMS Key Laboratory of Medical Neurobiology, Hangzhou, China
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Coventry BS, Lawlor GL, Bagnati CB, Krogmeier C, Bartlett EL. Characterization and closed-loop control of infrared thalamocortical stimulation produces spatially constrained single-unit responses. PNAS NEXUS 2024; 3:pgae082. [PMID: 38725532 PMCID: PMC11079674 DOI: 10.1093/pnasnexus/pgae082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 02/07/2024] [Indexed: 05/12/2024]
Abstract
Deep brain stimulation (DBS) is a powerful tool for the treatment of circuitopathy-related neurological and psychiatric diseases and disorders such as Parkinson's disease and obsessive-compulsive disorder, as well as a critical research tool for perturbing neural circuits and exploring neuroprostheses. Electrically mediated DBS, however, is limited by the spread of stimulus currents into tissue unrelated to disease course and treatment, potentially causing undesirable patient side effects. In this work, we utilize infrared neural stimulation (INS), an optical neuromodulation technique that uses near to midinfrared light to drive graded excitatory and inhibitory responses in nerves and neurons, to facilitate an optical and spatially constrained DBS paradigm. INS has been shown to provide spatially constrained responses in cortical neurons and, unlike other optical techniques, does not require genetic modification of the neural target. We show that INS produces graded, biophysically relevant single-unit responses with robust information transfer in rat thalamocortical circuits. Importantly, we show that cortical spread of activation from thalamic INS produces more spatially constrained response profiles than conventional electrical stimulation. Owing to observed spatial precision of INS, we used deep reinforcement learning (RL) for closed-loop control of thalamocortical circuits, creating real-time representations of stimulus-response dynamics while driving cortical neurons to precise firing patterns. Our data suggest that INS can serve as a targeted and dynamic stimulation paradigm for both open and closed-loop DBS.
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Affiliation(s)
- Brandon S Coventry
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
- Center for Implantable Devices and the Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN 47907, USA
| | - Georgia L Lawlor
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
- Center for Implantable Devices and the Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN 47907, USA
| | - Christina B Bagnati
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
| | - Claudia Krogmeier
- Department of Computer Graphics Technology, Purdue University, West Lafayette, IN 47907, USA
| | - Edward L Bartlett
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
- Center for Implantable Devices and the Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN 47907, USA
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA
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Zhuo J, Weidrick CE, Liu Y, Moffitt MA, Jansen ED, Chiel HJ, Jenkins MW. Selective Infrared Neural Inhibition Can Be Reproduced by Resistive Heating. Neuromodulation 2023; 26:1757-1771. [PMID: 36707292 PMCID: PMC10366334 DOI: 10.1016/j.neurom.2022.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/22/2022] [Accepted: 12/06/2022] [Indexed: 01/26/2023]
Abstract
OBJECTIVES Small-diameter afferent axons carry various sensory signals that are critical for vital physiological conditions but sometimes contribute to pathologies. Infrared (IR) neural inhibition (INI) can induce selective heat block of small-diameter axons, which holds potential for translational applications such as pain management. Previous research suggested that IR-heating-induced acceleration of voltage-gated potassium channel kinetics is the mechanism for INI. Therefore, we hypothesized that other heating methods, such as resistive heating (RH) in a cuff, could reproduce the selective inhibition observed in INI. MATERIALS AND METHODS We conducted ex vivo nerve-heating experiments on pleural-abdominal connective nerves of Aplysia californica using both IR and RH. We fabricated a transparent silicone nerve cuff for simultaneous IR heating, RH, and temperature measurements. Temperature elevations (ΔT) on the nerve surface were recorded for both heating modalities, which were tested over a range of power levels that cover a similar ΔT range. We recorded electrically evoked compound action potentials (CAPs) and segmented them into fast and slow subcomponents on the basis of conduction velocity differences between the large and small-diameter axonal subpopulations. We calculated the normalized inhibition strength and inhibition selectivity index on the basis of the rectified area under the curve of each subpopulation. RESULTS INI and RH showed a similar selective inhibition effect on CAP subcomponents for slow-conducting axons, confirmed by the inhibition probability vs ΔT dose-response curve based on approximately 2000 CAP measurements. The inhibition selectivity indexes of the two heating modalities were similar across six nerves. RH only required half the total electrical power required by INI to achieve a similar ΔT. SIGNIFICANCE We show that selective INI can be reproduced by other heating modalities such as RH. RH, because of its high energy efficiency and simple design, can be a good candidate for future implantable neural interface designs.
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Affiliation(s)
- Junqi Zhuo
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Chloe E Weidrick
- Department of Nutrition, Case Western Reserve University, Cleveland, OH, USA
| | - Yehe Liu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Michael A Moffitt
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - E Duco Jansen
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Biophotonics Center, Vanderbilt University, Nashville, TN, USA; Department of Neurological Surgery, Vanderbilt University, Nashville, TN, USA
| | - Hillel J Chiel
- Department of Biology, Case Western Reserve University, Cleveland OH, USA; Department of Neurosciences, Case Western Reserve University, Cleveland, OH, USA; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA
| | - Michael W Jenkins
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA; Department of Pediatrics, Case Western Reserve University, Cleveland, OH, USA.
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Coventry BS, Lawlor GL, Bagnati CB, Krogmeier C, Bartlett EL. Spatially specific, closed-loop infrared thalamocortical deep brain stimulation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.04.560859. [PMID: 37904955 PMCID: PMC10614743 DOI: 10.1101/2023.10.04.560859] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
Deep brain stimulation (DBS) is a powerful tool for the treatment of circuitopathy-related neurological and psychiatric diseases and disorders such as Parkinson's disease and obsessive-compulsive disorder, as well as a critical research tool for perturbing neural circuits and exploring neuroprostheses. Electrically-mediated DBS, however, is limited by the spread of stimulus currents into tissue unrelated to disease course and treatment, potentially causing undesirable patient side effects. In this work, we utilize infrared neural stimulation (INS), an optical neuromodulation technique that uses near to mid-infrared light to drive graded excitatory and inhibitory responses in nerves and neurons, to facilitate an optical and spatially constrained DBS paradigm. INS has been shown to provide spatially constrained responses in cortical neurons and, unlike other optical techniques, does not require genetic modification of the neural target. We show that INS produces graded, biophysically relevant single-unit responses with robust information transfer in thalamocortical circuits. Importantly, we show that cortical spread of activation from thalamic INS produces more spatially constrained response profiles than conventional electrical stimulation. Owing to observed spatial precision of INS, we used deep reinforcement learning for closed-loop control of thalamocortical circuits, creating real-time representations of stimulus-response dynamics while driving cortical neurons to precise firing patterns. Our data suggest that INS can serve as a targeted and dynamic stimulation paradigm for both open and closed-loop DBS.
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Affiliation(s)
- Brandon S Coventry
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN USA
- Center for Implantable Devices and the Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN USA
| | - Georgia L Lawlor
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN USA
- Center for Implantable Devices and the Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN USA
| | - Christina B Bagnati
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN USA
| | - Claudia Krogmeier
- Department of Computer Graphics Technology, Purdue University, West Lafayette, IN USA
| | - Edward L Bartlett
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN USA
- Center for Implantable Devices and the Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN USA
- Department of Biological Sciences, Purdue University, West Lafayette, IN USA
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Jiang W, Zhang X, Yu S, Yan F, Chen J, Liu J, Dong C. Decellularized extracellular matrix in the treatment of spinal cord injury. Exp Neurol 2023; 368:114506. [PMID: 37597763 DOI: 10.1016/j.expneurol.2023.114506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/04/2023] [Accepted: 08/15/2023] [Indexed: 08/21/2023]
Abstract
Functional limitation caused by spinal cord injury (SCI) has the problem of significant clinical and economic burden. Damaged spinal axonal connections and an inhibitory environment severely hamper neuronal function. Regenerative biomaterials can fill the cavity and produce an optimal microenvironment at the site of SCI, inhibiting apoptosis, inflammation, and glial scar formation while promoting neurogenesis, axonal development, and angiogenesis. Decellularization aims to eliminate cells from the ultrastructure of tissues while keeping tissue-specific components that are similar to the structure of real tissues, making decellularized extracellular matrix (dECM) a suitable scaffold for tissue engineering. dECM has good biocompatibility, it can be widely obtained from natural organs of different species, and can be co-cultured with cells for 3D printing to obtain the target scaffold. In this paper, we reviewed the pathophysiology of SCI, the characteristics of dECM and its preparation method, and the application of dECM in the treatment of SCI. Although dECM has shown its therapeutic effect at present, there are still many indicators that need to be taken into account, such as the difficulty in obtaining materials and standardized production mode for large-scale use, the effect of decellularization on the physical and chemical properties of dECM, and the study on the synergistic effect of dECM and cells.
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Affiliation(s)
- Wenwei Jiang
- Department of Anatomy, Medical College of Nantong University, Nantong, China
| | - Xuanxuan Zhang
- Department of Anatomy, Medical College of Nantong University, Nantong, China
| | - Shumin Yu
- Department of Anatomy, Medical College of Nantong University, Nantong, China
| | - Fangsu Yan
- Department of Anatomy, Medical College of Nantong University, Nantong, China
| | - Jiaxi Chen
- Department of Anatomy, Medical College of Nantong University, Nantong, China
| | - Jinyi Liu
- Department of Anatomy, Medical College of Nantong University, Nantong, China
| | - Chuanming Dong
- Department of Anatomy, Medical College of Nantong University, Nantong, China; Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuroregeneration, Nantong University, Nantong 226001, Jiangsu Province, China.
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Almasri RM, Ladouceur F, Mawad D, Esrafilzadeh D, Firth J, Lehmann T, Poole-Warren LA, Lovell NH, Al Abed A. Emerging trends in the development of flexible optrode arrays for electrophysiology. APL Bioeng 2023; 7:031503. [PMID: 37692375 PMCID: PMC10491464 DOI: 10.1063/5.0153753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 08/08/2023] [Indexed: 09/12/2023] Open
Abstract
Optical-electrode (optrode) arrays use light to modulate excitable biological tissues and/or transduce bioelectrical signals into the optical domain. Light offers several advantages over electrical wiring, including the ability to encode multiple data channels within a single beam. This approach is at the forefront of innovation aimed at increasing spatial resolution and channel count in multichannel electrophysiology systems. This review presents an overview of devices and material systems that utilize light for electrophysiology recording and stimulation. The work focuses on the current and emerging methods and their applications, and provides a detailed discussion of the design and fabrication of flexible arrayed devices. Optrode arrays feature components non-existent in conventional multi-electrode arrays, such as waveguides, optical circuitry, light-emitting diodes, and optoelectronic and light-sensitive functional materials, packaged in planar, penetrating, or endoscopic forms. Often these are combined with dielectric and conductive structures and, less frequently, with multi-functional sensors. While creating flexible optrode arrays is feasible and necessary to minimize tissue-device mechanical mismatch, key factors must be considered for regulatory approval and clinical use. These include the biocompatibility of optical and photonic components. Additionally, material selection should match the operating wavelength of the specific electrophysiology application, minimizing light scattering and optical losses under physiologically induced stresses and strains. Flexible and soft variants of traditionally rigid photonic circuitry for passive optical multiplexing should be developed to advance the field. We evaluate fabrication techniques against these requirements. We foresee a future whereby established telecommunications techniques are engineered into flexible optrode arrays to enable unprecedented large-scale high-resolution electrophysiology systems.
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Affiliation(s)
- Reem M. Almasri
- Graduate School of Biomedical Engineering, UNSW, Sydney, NSW 2052, Australia
| | | | - Damia Mawad
- School of Materials Science and Engineering, UNSW, Sydney, NSW 2052, Australia
| | - Dorna Esrafilzadeh
- Graduate School of Biomedical Engineering, UNSW, Sydney, NSW 2052, Australia
| | - Josiah Firth
- Australian National Fabrication Facility, UNSW, Sydney, NSW 2052, Australia
| | - Torsten Lehmann
- School of Electrical Engineering and Telecommunications, UNSW, Sydney, NSW 2052, Australia
| | | | | | - Amr Al Abed
- Graduate School of Biomedical Engineering, UNSW, Sydney, NSW 2052, Australia
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Horváth ÁC, Borbély S, Mihók F, Fürjes P, Barthó P, Fekete Z. Histological and electrophysiological evidence on the safe operation of a sharp-tip multimodal optrode during infrared neuromodulation of the rat cortex. Sci Rep 2022; 12:11434. [PMID: 35794160 PMCID: PMC9259743 DOI: 10.1038/s41598-022-15367-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 06/20/2022] [Indexed: 11/19/2022] Open
Abstract
Infrared neuromodulation is an emerging technology in neuroscience that exploits the inherent thermal sensitivity of neurons to excite or inhibit cellular activity. Since there is limited information on the physiological response of intracortical cell population in vivo including evidence on cell damage, we aimed to create and to validate the safe operation of a microscale sharp-tip implantable optrode that can be used to suppress the activity of neuronal population with low optical power continuous wave irradiation. Effective thermal cross-section and electric properties of the multimodal microdevice was characterized in bench-top tests. The evoked multi-unit activity was monitored in the rat somatosensory cortex, and using NeuN immunocytochemistry method, quantitative analysis of neuronal density changes due to the stimulation trials was evaluated. The sharp tip implant was effectively used to suppress the firing rate of neuronal populations. Histological staining showed that neither the probe insertion nor the heating protocols alone lead to significant changes in cell density in the close vicinity of the implant with respect to the intact control region. Our study shows that intracortical stimulation with continuous-wave infrared light at 1550 nm using a sharp tip implantable optical microdevice is a safe approach to modulate the firing rate of neurons.
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Affiliation(s)
- Á Cs Horváth
- Research Group for Implantable Microsystems, Faculty of Information Technology and Bionics, PPKE, Budapest, Hungary
| | - S Borbély
- Sleep Oscillations Research Group, Institute of Cognitive Neuroscience and Psychology, RCNS, ELKH, Budapest, Hungary
- Neuronal Network and Behavior Research Group, Institute of Experimental Medicine, ELKH, Budapest, Hungary
| | - F Mihók
- Department of Control Engineering and Information Technology, BUTE, Budapest, Hungary
| | - P Fürjes
- Microsystems Laboratory, Centre for Energy Research, ELKH, Budapest, Hungary
| | - P Barthó
- Sleep Oscillations Research Group, Institute of Cognitive Neuroscience and Psychology, RCNS, ELKH, Budapest, Hungary
| | - Z Fekete
- Research Group for Implantable Microsystems, Faculty of Information Technology and Bionics, PPKE, Budapest, Hungary.
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