1
|
Kazanskaya RB, Berliand AN, Volnova AB, Lopachev AV. Biocompatibility and customizability: Expanding possibilities with 3D printed guide cannulas. J Neurosci Methods 2024; 410:110237. [PMID: 39079571 DOI: 10.1016/j.jneumeth.2024.110237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 07/18/2024] [Accepted: 07/26/2024] [Indexed: 08/09/2024]
Abstract
BACKGROUND Intracerebral cannulation bypasses the blood-brain barrier, and is frequently used for targeted drug delivery to specific brain structures. Despite the availability of brain infusion kits and manual injections without cannulation, the traditional design of guide cannulas continues to be utilized in research. Several protocols describing guide cannula manufacture from stainless steel needles have been published previously. NEW METHOD We describe a method for producing the first fully plastic guide cannula intended for intracerebroventricular injections in mice using Dental Sand A1-A2 resin and digital light processing 3D printing. RESULTS The lack of resin neurotoxicity for primary rat cortical neuron cultures was shown. Histological evaluations performed 6 weeks after guide cannula implantation to C57/black mice show that plastic cannula are biocompatible. Microglial and astroglial reactions to plastic cannulas are reduced compared to lab-made stainless steel cannulas. Plastic cannulas are less prone to obstruction, and remained unobstructed over the course of 3 weeks of daily injections, while 50 % of stainless steel cannula became impassable by the 2 week mark. COMPARISON WITH EXISTING METHODS These are the first published cannulas intended for applications in mice which combine the presence of usable threads, allowing dummy cannula fixation, with a low profile and small footprint compared to commercially available cannulas. CONCLUSIONS Editable parametric and stl files for reproducing the cannulas presented in this manuscript are included. The method described in this paper is accessible to most laboratories, enabling near-perfect standardization in length combined with a high level of customizability.
Collapse
Affiliation(s)
- Rogneda B Kazanskaya
- Research Center of Neurology, Volokolamskoye Shosse 80, Moscow 125367, Russia; Biological Department, Saint Petersburg State University, Universitetskaya Emb. 7/9, St. Petersburg 199034, Russia.
| | - Anna N Berliand
- Research Center of Neurology, Volokolamskoye Shosse 80, Moscow 125367, Russia; NUST MISIS, Leninskiy Prospekt 4, Moscow 119049, Russia
| | - Anna B Volnova
- Biological Department, Saint Petersburg State University, Universitetskaya Emb. 7/9, St. Petersburg 199034, Russia; Institute of Translational Biomedicine, Saint Petersburg State University, Universitetskaya Emb. 7/9, St. Petersburg 199034, Russia
| | - Alexander V Lopachev
- Research Center of Neurology, Volokolamskoye Shosse 80, Moscow 125367, Russia; Institute of Translational Biomedicine, Saint Petersburg State University, Universitetskaya Emb. 7/9, St. Petersburg 199034, Russia
| |
Collapse
|
2
|
Quansah Amissah R, Albeely AM, Bragg EM, Perreault ML, Doucette WT, Khokhar JY. A Simple, Lightweight, and Low-Cost Customizable Multielectrode Array for Local Field Potential Recordings. eNeuro 2023; 10:ENEURO.0212-23.2023. [PMID: 37643859 PMCID: PMC10467017 DOI: 10.1523/eneuro.0212-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/01/2023] [Accepted: 08/03/2023] [Indexed: 08/31/2023] Open
Abstract
Local field potential (LFP) recording is a valuable method for assessing brain systems communication. Multiple methods have been developed to collect LFP data to study the rhythmic activity of the brain. These methods range from the use of single or bundled metal electrodes to electrode arrays that can target multiple brain regions. Although these electrodes are efficient in collecting LFP activity, they can be expensive, difficult to build, and less adaptable to different applications, which may include targeting multiple brain regions simultaneously. Here, the building process for a 16-channel customizable multielectrode array (CMEA) that can be used to collect LFP data from different brain regions simultaneously in rats is described. These CMEA electrode arrays are lightweight (<1 g), take little time to build (<1 h), and are affordable ($15 Canadian). The CMEA can also be modified to record single-unit and multiunit activity in addition to LFP activity using both wired and wireless neural data acquisition systems. Moreover, these CMEAs can be used to explore neural activity (LFP and single-unit/multiunit activity) in preliminary studies, before purchasing more expensive electrodes for targeted studies. Together, these characteristics make the described CMEA a competitive alternative to the commercially available multielectrode arrays for its simplicity, low cost, and efficiency in collecting LFP data in freely behaving animals.
Collapse
Affiliation(s)
- Richard Quansah Amissah
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, Ontario N1G 2W1, Canada
| | - Abdalla M Albeely
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, Western University, London, Ontario N6A 5C1, Canada
| | - Elise M Bragg
- Department of Psychiatry, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire 03756
- Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755-1404
| | - Melissa L Perreault
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, Ontario N1G 2W1, Canada
| | - Wilder T Doucette
- Department of Psychiatry, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire 03756
- Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755-1404
| | - Jibran Y Khokhar
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, Ontario N1G 2W1, Canada
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, Western University, London, Ontario N6A 5C1, Canada
| |
Collapse
|
3
|
Halladay LR. Investigating Neural Correlates of Behavior Through In Vivo Electrophysiology. Curr Protoc 2023; 3:e769. [PMID: 37154436 PMCID: PMC10290908 DOI: 10.1002/cpz1.769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Behavioral neuroscience has long relied on in vivo electrophysiology to provide spatially and temporally precise answers to complex questions about the neural dynamics underlying sensory processing and action execution. Investigating the neural correlates of behavior can be challenging in freely behaving animals, especially when making inferences related to internal states that are temporally or conceptually ambiguous, such as decision-making or motivation. This necessitates careful creation of appropriate and rigorous controls and awareness of the many potential confounds when attributing neural signals to animal behavior. This article discusses fundamental considerations for the optimal design and interpretation of in vivo rodent electrophysiological recording experiments and focuses on the different optimization strategies required when investigating neural encoding of external stimuli versus free behavior. The first protocol offers suggestions specific to intracranial surgical implantation of multielectrode arrays. The second protocol delves into optimization strategies and tips useful for designing and interpreting recording experiments conducted in freely behaving rodents. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Surgical implantation of the multielectrode array Basic Protocol 2: Optimizing experimental design and parameters.
Collapse
Affiliation(s)
- Lindsay R. Halladay
- Department of Psychology, Santa Clara University, 500 El Camino Real, Santa Clara, California, 95053, USA
| |
Collapse
|
4
|
Brown AR, Branthwaite HE, Farahbakhsh ZZ, Mukerjee S, Melugin PR, Song K, Noamany H, Siciliano CA. Structured tracking of alcohol reinforcement (STAR) for basic and translational alcohol research. Mol Psychiatry 2023; 28:1585-1598. [PMID: 36849824 PMCID: PMC10208967 DOI: 10.1038/s41380-023-01994-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 01/26/2023] [Accepted: 02/07/2023] [Indexed: 03/01/2023]
Abstract
There is inherent tension between methodologies developed to address basic research questions in model species and those intended for preclinical to clinical translation: basic investigations require flexibility of experimental design as hypotheses are rapidly tested and revised, whereas preclinical models emphasize standardized protocols and specific outcome measures. This dichotomy is particularly relevant in alcohol research, which spans a diverse range of basic sciences in addition to intensive efforts towards understanding the pathophysiology of alcohol use disorder (AUD). To advance these goals there is a great need for approaches that facilitate synergy across basic and translational areas of nonhuman alcohol research. In male and female mice, we establish a modular alcohol reinforcement paradigm: Structured Tracking of Alcohol Reinforcement (STAR). STAR provides a robust platform for quantitative assessment of AUD-relevant behavioral domains within a flexible framework that allows direct crosstalk between translational and mechanistically oriented studies. To achieve cross-study integration, despite disparate task parameters, a straightforward multivariate phenotyping analysis is used to classify subjects based on propensity for heightened alcohol consumption and insensitivity to punishment. Combining STAR with extant preclinical alcohol models, we delineate longitudinal phenotype dynamics and reveal putative neuro-biomarkers of heightened alcohol use vulnerability via neurochemical profiling of cortical and brainstem tissues. Together, STAR allows quantification of time-resolved biobehavioral processes essential for basic research questions simultaneous with longitudinal phenotyping of clinically relevant outcomes, thereby providing a framework to facilitate cohesion and translation in alcohol research.
Collapse
Affiliation(s)
- Alex R Brown
- Department of Pharmacology, Vanderbilt Brain Institute, Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, 37232, USA
| | - Hannah E Branthwaite
- Department of Pharmacology, Vanderbilt Brain Institute, Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, 37232, USA
| | - Zahra Z Farahbakhsh
- Department of Pharmacology, Vanderbilt Brain Institute, Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, 37232, USA
| | - Snigdha Mukerjee
- Department of Pharmacology, Vanderbilt Brain Institute, Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, 37232, USA
| | - Patrick R Melugin
- Department of Pharmacology, Vanderbilt Brain Institute, Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, 37232, USA
| | - Keaton Song
- Department of Pharmacology, Vanderbilt Brain Institute, Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, 37232, USA
| | - Habiba Noamany
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Cody A Siciliano
- Department of Pharmacology, Vanderbilt Brain Institute, Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, 37232, USA.
| |
Collapse
|
5
|
Application of 3D Printing Technology to Produce Hippocampal Customized Guide Cannulas. eNeuro 2022; 9:ENEURO.0099-22.2022. [PMID: 36104275 PMCID: PMC9522464 DOI: 10.1523/eneuro.0099-22.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 07/14/2022] [Accepted: 07/14/2022] [Indexed: 12/15/2022] Open
Abstract
Implantation of guide cannulas is a widely used technique to access specific brain areas. Although commercially available, the need to personalize these implants and the high cost prompted us to design open-source customized devices taking advantage of 3D printing technology. Our cannulas consisted in a 3D-printed head mount designed according to the Paxinos coordinates to reach the CA1 area of the hippocampus. To cut guide cannulas to the proper length, we designed and realized an original 3D-printed linear motion apparatus. Polylactic acid thermoplastic polymer was used as printing material. Homemade or commercial cannulas were implanted in 4- to 6-month-old wild-type mice and intrahippocampal injections of amyloid-β peptide at different concentrations were performed. In vivo behavioral studies of novel object recognition indicated that results obtained with homemade versus commercial devices were comparable. Methylene blue injections and Nissl staining confirmed the correct localization of cannulas in the CA1 area of mouse hippocampus. Our method allows a fast manufacturing of hippocampal cannulas preserving the required precision at very low cost. Furthermore, this system can be easily modified to produce cannulas to target other brain areas. In conclusion, 3D printing might be used as a useful and versatile technology to realize open-source customized devices in neuroscience laboratories.
Collapse
|
6
|
Mohapatra AN, Netser S, Wagner S. Modular Electrode Array for Multi-site Extracellular Recordings from Brains of Freely Moving Rodents. Curr Protoc 2022; 2:e399. [PMID: 35536117 DOI: 10.1002/cpz1.399] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Multi-site extracellular recordings from awake, freely moving rodents are an insightful technique that allows deduction of the dynamics of neural activity within a network of brain regions. Multiple advances in the design and materials of recording setups are available in the literature. However, most of these designs require several skill sets to assemble the electrodes and are expensive. Here, we explain in detail a custom design to build a multi-site (16 sites) electrode array (EA) and record extracellular electrical signals (local field potential and multi-unit spiking activity) at variable depths in freely behaving rodents. This EA weighs ∼3.0 g and costs less than $30. It provides mesoscopic neural activity maps (at millimeter scale) at low spatial resolution, thus enabling the experimenting group to further target specific regions with more expensive high-density probes at the resolution of an individual neuron. The article outlines the processes of building and implanting the array and recording neural activity during a behavior task. We also highlight the limitations of our design and the necessary steps to troubleshoot common issues faced during the initial implementation of the protocols. Finally, we explain the specific data one would obtain while using the probes during social interactions between rodents. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Preparation of the electrode array Basic Protocol 2: Surgical implantation of the electrode array Basic Protocol 3: Recording of neural activity from the electrode array while a mouse performs social investigation of a novel conspecific Basic Protocol 4: Histology and electrode registration.
Collapse
Affiliation(s)
- Alok Nath Mohapatra
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Shai Netser
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Shlomo Wagner
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| |
Collapse
|
7
|
Lawrenson C, Paci E, Pickford J, Drake RAR, Lumb BM, Apps R. Cerebellar modulation of memory encoding in the periaqueductal grey and fear behaviour. eLife 2022; 11:76278. [PMID: 35287795 PMCID: PMC8923669 DOI: 10.7554/elife.76278] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 01/20/2022] [Indexed: 01/02/2023] Open
Abstract
The pivotal role of the periaqueductal grey (PAG) in fear learning is reinforced by the identification of neurons in male rat ventrolateral PAG (vlPAG) that encode fear memory through signalling the onset and offset of an auditory-conditioned stimulus during presentation of the unreinforced conditioned tone (CS+) during retrieval. Some units only display CS+ onset or offset responses, and the two signals differ in extinction sensitivity, suggesting that they are independent of each other. In addition, understanding cerebellar contributions to survival circuits is advanced by the discovery that (i) reversible inactivation of the medial cerebellar nucleus (MCN) during fear consolidation leads in subsequent retrieval to (a) disruption of the temporal precision of vlPAG offset, but not onset responses to CS+, and (b) an increase in duration of freezing behaviour. And (ii) chemogenetic manipulation of the MCN-vlPAG projection during fear acquisition (a) reduces the occurrence of fear-related ultrasonic vocalisations, and (b) during subsequent retrieval, slows the extinction rate of fear-related freezing. These findings show that the cerebellum is part of the survival network that regulates fear memory processes at multiple timescales and in multiple ways, raising the possibility that dysfunctional interactions in the cerebellar-survival network may underlie fear-related disorders and comorbidities. Anxiety disorders are a cluster of mental health conditions characterised by persistent and excessive amounts of fear and worry. They affect millions of people worldwide, but treatments can sometimes be ineffective and have unwanted side effects. Understanding which brain regions are involved in fear and anxiety-related behaviours, and how those areas are connected, is the first step towards designing more effective treatments. A region known as the periaqueductal grey (or PAG) sits at the centre of the brain’s fear and anxiety network, regulating pain, encoding fear memories and responding to threats and stressors. It also controls survival behaviours such as the ‘freeze’ response, when an animal is frightened. A more recent addition to the fear and anxiety network is the cerebellum, which sits at the base of the brain. Two-way connections between this region and the PAG have been well described, but how the cerebellum might influence fear and anxiety-related behaviours remains unclear. To explore this role, Lawrenson, Paci et al. investigated whether the cerebellum modulates brain activity within the PAG and if so, how this relates to fear behaviours. Rats had electrodes implanted in their brains to record the activity of nerve cells within the PAG. A common fear-conditioning task was then used to elicit ‘freeze’ responses: a sound was paired with mild foot shocks until the animals learned to fear the auditory signal. In the rats, a subset of neurons within the PAG responded to the tone, consistent with those cells encoding a fear memory. But when a drug blocked the cerebellum’s output during fear conditioning, the timing of the PAG response was less precise and the rats’ freeze response lasted longer. Lawrenson, Paci et al. concluded that the cerebellum, through its interactions with the brain’s fear and anxiety network, might be responsible for coordinating the most appropriate behavioural response to fear, and how long ‘freezing’ lasts. In summary, these findings show that the cerebellum is a part of the brain’s survival network which regulates fear-memory processes. It raises the possibility that disruption of the cerebellum might underlie anxiety and other fear-related disorders, thereby providing a new target for future therapies.
Collapse
Affiliation(s)
- Charlotte Lawrenson
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, United Kingdom
| | - Elena Paci
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, United Kingdom
| | - Jasmine Pickford
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, United Kingdom
| | - Robert A R Drake
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, United Kingdom
| | - Bridget M Lumb
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, United Kingdom
| | - Richard Apps
- School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol, United Kingdom
| |
Collapse
|
8
|
Erofeev A, Kazakov D, Makarevich N, Bolshakova A, Gerasimov E, Nekrasov A, Kazakin A, Komarevtsev I, Bolsunovskaja M, Bezprozvanny I, Vlasova O. An Open-Source Wireless Electrophysiological Complex for In Vivo Recording Neuronal Activity in the Rodent's Brain. SENSORS 2021; 21:s21217189. [PMID: 34770498 PMCID: PMC8587815 DOI: 10.3390/s21217189] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 10/19/2021] [Accepted: 10/26/2021] [Indexed: 01/14/2023]
Abstract
Multi-electrode arrays (MEAs) are a widely used tool for recording neuronal activity both in vitro/ex vivo and in vivo experiments. In the last decade, researchers have increasingly used MEAs on rodents in vivo. To increase the availability and usability of MEAs, we have created an open-source wireless electrophysiological complex. The complex is scalable, recording the activity of neurons in the brain of rodents during their behavior. Schematic diagrams and a list of necessary components for the fabrication of a wireless electrophysiological complex, consisting of a base charging station and wireless wearable modules, are presented.
Collapse
Affiliation(s)
- Alexander Erofeev
- Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.B.); (E.G.); (I.B.)
- Correspondence: (A.E.); (O.V.)
| | - Dmitriy Kazakov
- National Technology Initiative Center for Advanced Manufacturing Technologies, Laboratory of Industrial Data Streaming Systems, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (D.K.); (N.M.); (M.B.)
| | - Nikita Makarevich
- National Technology Initiative Center for Advanced Manufacturing Technologies, Laboratory of Industrial Data Streaming Systems, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (D.K.); (N.M.); (M.B.)
| | - Anastasia Bolshakova
- Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.B.); (E.G.); (I.B.)
| | - Evgenii Gerasimov
- Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.B.); (E.G.); (I.B.)
| | - Arseniy Nekrasov
- Neuropribor, Limited Liability Company, 194223 Saint Petersburg, Russia;
| | - Alexey Kazakin
- Laboratory of Nano- and Microsystem Technology, Joint Institute of Science and Technology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.K.); (I.K.)
| | - Ivan Komarevtsev
- Laboratory of Nano- and Microsystem Technology, Joint Institute of Science and Technology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.K.); (I.K.)
| | - Marina Bolsunovskaja
- National Technology Initiative Center for Advanced Manufacturing Technologies, Laboratory of Industrial Data Streaming Systems, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (D.K.); (N.M.); (M.B.)
| | - Ilya Bezprozvanny
- Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.B.); (E.G.); (I.B.)
- Department of Physiology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
| | - Olga Vlasova
- Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia; (A.B.); (E.G.); (I.B.)
- Correspondence: (A.E.); (O.V.)
| |
Collapse
|
9
|
Group II Metabotropic Glutamate Receptors Modulate Sound Evoked and Spontaneous Activity in the Mouse Inferior Colliculus. eNeuro 2021; 8:ENEURO.0328-20.2020. [PMID: 33334826 PMCID: PMC7814476 DOI: 10.1523/eneuro.0328-20.2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 11/22/2020] [Accepted: 11/24/2020] [Indexed: 01/02/2023] Open
Abstract
Little is known about the functions of Group II metabotropic glutamate receptors (mGluRs2/3) in the inferior colliculus (IC), a midbrain structure that is a major integration region of the central auditory system. We investigated how these receptors modulate sound-evoked and spontaneous firing in the mouse IC in vivo. We first performed immunostaining and tested hearing thresholds to validate vesicular GABA transporter (VGAT)-ChR2 transgenic mice on a mixed CBA/CaJ x C57BL/6J genetic background. Transgenic animals allowed for optogenetic cell-type identification. Extracellular single neuron recordings were obtained before and after pharmacological mGluR2/3 activation. We observed increased sound-evoked firing, as assessed by the rate-level functions (RLFs), in a subset of both GABAergic and non-GABAergic IC neurons following mGluR2/3 pharmacological activation. These neurons also displayed elevated spontaneous excitability and were distributed throughout the IC area tested, suggesting a widespread mGluR2/3 distribution in the mouse IC.
Collapse
|
10
|
Mahajan S, Hermann JK, Bedell HW, Sharkins JA, Chen L, Chen K, Meade SM, Smith CS, Rayyan J, Feng H, Kim Y, Schiefer MA, Taylor DM, Capadona JR, Ereifej ES. Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models. Front Bioeng Biotechnol 2020; 8:416. [PMID: 32457888 PMCID: PMC7225268 DOI: 10.3389/fbioe.2020.00416] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 04/14/2020] [Indexed: 12/26/2022] Open
Abstract
Progress has been made in the field of neural interfacing using both mouse and rat models, yet standardization of these models' interchangeability has yet to be established. The mouse model allows for transgenic, optogenetic, and advanced imaging modalities which can be used to examine the biological impact and failure mechanisms associated with the neural implant itself. The ability to directly compare electrophysiological data between mouse and rat models is crucial for the development and assessment of neural interfaces. The most obvious difference in the two rodent models is size, which raises concern for the role of device-induced tissue strain. Strain exerted on brain tissue by implanted microelectrode arrays is hypothesized to affect long-term recording performance. Therefore, understanding any potential differences in tissue strain caused by differences in the implant to tissue size ratio is crucial for validating the interchangeability of rat and mouse models. Hence, this study is aimed at investigating the electrophysiological variances and predictive device-induced tissue strain. Rat and mouse electrophysiological recordings were collected from implanted animals for eight weeks. A finite element model was utilized to assess the tissue strain from implanted intracortical microelectrodes, taking into account the differences in the depth within the cortex, implantation depth, and electrode geometry between the two models. The rat model demonstrated a larger percentage of channels recording single unit activity and number of units recorded per channel at acute but not chronic time points, relative to the mouse model Additionally, the finite element models also revealed no predictive differences in tissue strain between the two rodent models. Collectively our results show that these two models are comparable after taking into consideration some recommendations to maintain uniform conditions for future studies where direct comparisons of electrophysiological and tissue strain data between the two animal models will be required.
Collapse
Affiliation(s)
- Shreya Mahajan
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States
| | - John K. Hermann
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
| | - Hillary W. Bedell
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
| | - Jonah A. Sharkins
- Veteran Affairs Ann Arbor Healthcare System, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Lei Chen
- Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Keying Chen
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
| | - Seth M. Meade
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
| | - Cara S. Smith
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
| | - Jacob Rayyan
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
| | - He Feng
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
| | - Youjoung Kim
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
| | - Matthew A. Schiefer
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
| | - Dawn M. Taylor
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
- Department of Neuroscience, The Cleveland Clinic, Cleveland, OH, United States
| | - Jeffrey R. Capadona
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
| | - Evon S. Ereifej
- Advanced Platform Technology Center, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, United States
- Veteran Affairs Ann Arbor Healthcare System, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States
| |
Collapse
|