1
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Baranauskas G, Rysevaite-Kyguoliene K, Sabeckis I, Tkatch T, Pauza DH. Local stimulation of pyramidal neurons in deep cortical layers of anesthetized rats enhances cortical visual information processing. Sci Rep 2024; 14:22862. [PMID: 39354096 PMCID: PMC11445437 DOI: 10.1038/s41598-024-73995-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 09/23/2024] [Indexed: 10/03/2024] Open
Abstract
In the primary visual cortex area V1 activation of inhibitory interneurons, which provide negative feedback for excitatory pyramidal neurons, can improve visual response reliability and orientation selectivity. Moreover, optogenetic activation of one class of interneurons, parvalbumin (PV) positive cells, reduces the receptive field (RF) width. These data suggest that in V1 the negative feedback improves visual information processing. However, according to information theory, noise can limit information content in a signal, and to the best of our knowledge, in V1 signal-to-noise ratio (SNR) has never been estimated following either pyramidal or inhibitory neuron activation. Therefore, we optogenetically activated pyramidal or PV neurons in the deep layers of cortical area V1 and measured the SNR and RF area in nearby pyramidal neurons. Activation of pyramidal or PV neurons increased the SNR by 267% and 318%, respectively, and reduced the RF area to 60.1% and 77.5%, respectively, of that of the control. A simple integrate-and-fire neuron model demonstrated that an improved SNR and a reduced RF area can increase the amount of information encoded by neurons. We conclude that in V1 activation of pyramidal neurons improves visual information processing since the location of the visual stimulus can be pinpointed more accurately (via a reduced RF area), and more information is encoded by neurons (due to increased SNR).
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Affiliation(s)
- Gytis Baranauskas
- Neurophysiology Laboratory, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania.
| | | | - Ignas Sabeckis
- Anatomy Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Tatiana Tkatch
- Neurophysiology Laboratory, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania
- Department of Physiology, Northwestern University, Chicago, IL, USA
| | - Dainius H Pauza
- Anatomy Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania
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2
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Lorca-Cámara A, Blot FGC, Accanto N. Recent advances in light patterned optogenetic photostimulation in freely moving mice. NEUROPHOTONICS 2024; 11:S11508. [PMID: 38404422 PMCID: PMC10885521 DOI: 10.1117/1.nph.11.s1.s11508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/24/2024] [Accepted: 01/30/2024] [Indexed: 02/27/2024]
Abstract
Optogenetics opened the door to a new era of neuroscience. New optical developments are under way to enable high-resolution neuronal activity imaging and selective photostimulation of neuronal ensembles in freely moving animals. These advancements could allow researchers to interrogate, with cellular precision, functionally relevant neuronal circuits in the framework of naturalistic brain activity. We provide an overview of the current state-of-the-art of imaging and photostimulation in freely moving rodents and present a road map for future optical and engineering developments toward miniaturized microscopes that could reach beyond the currently existing systems.
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Affiliation(s)
| | - François G C Blot
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
| | - Nicolò Accanto
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
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3
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Zouridis IS, Schmors L, Fischer KM, Berens P, Preston-Ferrer P, Burgalossi A. Juxtacellular recordings from identified neurons in the mouse locus coeruleus. Eur J Neurosci 2024; 60:3659-3676. [PMID: 38872397 DOI: 10.1111/ejn.16368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/15/2024] [Accepted: 04/11/2024] [Indexed: 06/15/2024]
Abstract
The locus coeruleus (LC) is the primary source of noradrenergic transmission in the mammalian central nervous system. This small pontine nucleus consists of a densely packed nuclear core-which contains the highest density of noradrenergic neurons-embedded within a heterogeneous surround of non-noradrenergic cells. This local heterogeneity, together with the small size of the LC, has made it particularly difficult to infer noradrenergic cell identity based on extracellular sampling of in vivo spiking activity. Moreover, the relatively high cell density, background activity and synchronicity of LC neurons have made spike identification and unit isolation notoriously challenging. In this study, we aimed at bridging these gaps by performing juxtacellular recordings from single identified neurons within the mouse LC complex. We found that noradrenergic neurons (identified by tyrosine hydroxylase, TH, expression; TH-positive) and intermingled putatively non-noradrenergic (TH-negative) cells displayed similar morphologies and responded to foot shock stimuli with excitatory responses; however, on average, TH-positive neurons exhibited more prominent foot shock responses and post-activation firing suppression. The two cell classes also displayed different spontaneous firing rates, spike waveforms and temporal spiking properties. A logistic regression classifier trained on spontaneous electrophysiological features could separate the two cell classes with 76% accuracy. Altogether, our results reveal in vivo electrophysiological correlates of TH-positive neurons, which can be useful for refining current approaches for the classification of LC unit activity.
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Affiliation(s)
- Ioannis S Zouridis
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany
- Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
- Graduate Training Centre of Neuroscience, International Max-Planck Research School (IMPRS), Tübingen, Germany
| | - Lisa Schmors
- Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
- Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany
| | - Kathrin Maite Fischer
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany
- Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
- Graduate Training Centre of Neuroscience, International Max-Planck Research School (IMPRS), Tübingen, Germany
| | - Philipp Berens
- Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
- Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany
- Tübingen AI Center, University of Tübingen, Tübingen, Germany
| | - Patricia Preston-Ferrer
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany
- Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
| | - Andrea Burgalossi
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany
- Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
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4
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Smirnov IV, Osipova AA, Smirnova MP, Borodinova AA, Volgushev MA, Malyshev AY. Plasticity of Response Properties of Mouse Visual Cortex Neurons Induced by Optogenetic Tetanization In Vivo. Curr Issues Mol Biol 2024; 46:3294-3312. [PMID: 38666936 PMCID: PMC11049003 DOI: 10.3390/cimb46040206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 03/25/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024] Open
Abstract
Heterosynaptic plasticity, along with Hebbian homosynaptic plasticity, is an important mechanism ensuring the stable operation of learning neuronal networks. However, whether heterosynaptic plasticity occurs in the whole brain in vivo, and what role(s) in brain function in vivo it could play, remains unclear. Here, we used an optogenetics approach to apply a model of intracellular tetanization, which was established and employed to study heterosynaptic plasticity in brain slices, to study the plasticity of response properties of neurons in the mouse visual cortex in vivo. We show that optogenetically evoked high-frequency bursts of action potentials (optogenetic tetanization) in the principal neurons of the visual cortex induce long-term changes in the responses to visual stimuli. Optogenetic tetanization had distinct effects on responses to different stimuli, as follows: responses to optimal and orthogonal orientations decreased, responses to null direction did not change, and responses to oblique orientations increased. As a result, direction selectivity of the neurons decreased and orientation tuning became broader. Since optogenetic tetanization was a postsynaptic protocol, applied in the absence of sensory stimulation, and, thus, without association of presynaptic activity with bursts of action potentials, the observed changes were mediated by mechanisms of heterosynaptic plasticity. We conclude that heterosynaptic plasticity can be induced in vivo and propose that it may play important homeostatic roles in operation of neural networks by helping to prevent runaway dynamics of responses to visual stimuli and to keep the tuning of neuronal responses within the range optimized for the encoding of multiple features in population activity.
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Affiliation(s)
- Ivan V. Smirnov
- Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow 117485, Russia; (I.V.S.); (A.A.O.); (M.P.S.); (A.A.B.)
| | - Aksiniya A. Osipova
- Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow 117485, Russia; (I.V.S.); (A.A.O.); (M.P.S.); (A.A.B.)
| | - Maria P. Smirnova
- Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow 117485, Russia; (I.V.S.); (A.A.O.); (M.P.S.); (A.A.B.)
| | - Anastasia A. Borodinova
- Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow 117485, Russia; (I.V.S.); (A.A.O.); (M.P.S.); (A.A.B.)
| | - Maxim A. Volgushev
- Department of Psychological Sciences, University of Connecticut, Storrs, CT 06269, USA;
| | - Alexey Y. Malyshev
- Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow 117485, Russia; (I.V.S.); (A.A.O.); (M.P.S.); (A.A.B.)
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5
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Glykos V, Fujisawa S. Memory-specific encoding activities of the ventral tegmental area dopamine and GABA neurons. eLife 2024; 12:RP89743. [PMID: 38512339 PMCID: PMC10957172 DOI: 10.7554/elife.89743] [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: 03/22/2024] Open
Abstract
Although the midbrain dopamine (DA) system plays a crucial role in higher cognitive functions, including updating and maintaining short-term memory, the encoding properties of the somatic spiking activity of ventral tegmental area (VTA) DA neurons for short-term memory computations have not yet been identified. Here, we probed and analyzed the activity of optogenetically identified DA and GABA neurons while mice engaged in short-term memory-dependent behavior in a T-maze task. Single-neuron analysis revealed that significant subpopulations of DA and GABA neurons responded differently between left and right trials in the memory delay. With a series of control behavioral tasks and regression analysis tools, we show that firing rate differences are linked to short-term memory-dependent decisions and cannot be explained by reward-related processes, motivated behavior, or motor-related activities. This evidence provides novel insights into the mnemonic encoding activities of midbrain DA and GABA neurons.
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Affiliation(s)
- Vasileios Glykos
- Laboratory for Systems Neurophysiology, RIKEN Center for Brain Science, Wako, Japan
- Synapse Biology Unit, Okinawa Institute of Science and Technology, Okinawa, Japan
| | - Shigeyoshi Fujisawa
- Laboratory for Systems Neurophysiology, RIKEN Center for Brain Science, Wako, Japan
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6
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Clark AM, Ingold A, Reiche CF, Cundy D, Balsor JL, Federer F, McAlinden N, Cheng Y, Rolston JD, Rieth L, Dawson MD, Mathieson K, Blair S, Angelucci A. An optrode array for spatiotemporally-precise large-scale optogenetic stimulation of deep cortical layers in non-human primates. Commun Biol 2024; 7:329. [PMID: 38485764 PMCID: PMC10940688 DOI: 10.1038/s42003-024-05984-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/27/2024] [Indexed: 03/18/2024] Open
Abstract
Optogenetics has transformed studies of neural circuit function, but remains challenging to apply to non-human primates (NHPs). A major challenge is delivering intense, spatiotemporally-precise, patterned photostimulation across large volumes in deep tissue. Such stimulation is critical, for example, to modulate selectively deep-layer corticocortical feedback circuits. To address this need, we have developed the Utah Optrode Array (UOA), a 10×10 glass needle waveguide array fabricated atop a novel opaque optical interposer, and bonded to an electrically addressable µLED array. In vivo experiments with the UOA demonstrated large-scale, spatiotemporally precise, activation of deep circuits in NHP cortex. Specifically, the UOA permitted both focal (confined to single layers/columns), and widespread (multiple layers/columns) optogenetic activation of deep layer neurons, as assessed with multi-channel laminar electrode arrays, simply by varying the number of activated µLEDs and/or the irradiance. Thus, the UOA represents a powerful optoelectronic device for targeted manipulation of deep-layer circuits in NHP models.
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Affiliation(s)
- Andrew M Clark
- Department of Ophthalmology and Visual Science, Moran Eye Institute, University of Utah, Salt Lake City, UT, USA
| | - Alexander Ingold
- Department of Ophthalmology and Visual Science, Moran Eye Institute, University of Utah, Salt Lake City, UT, USA
| | - Christopher F Reiche
- Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, USA
| | - Donald Cundy
- Department of Ophthalmology and Visual Science, Moran Eye Institute, University of Utah, Salt Lake City, UT, USA
| | - Justin L Balsor
- Department of Ophthalmology and Visual Science, Moran Eye Institute, University of Utah, Salt Lake City, UT, USA
| | - Frederick Federer
- Department of Ophthalmology and Visual Science, Moran Eye Institute, University of Utah, Salt Lake City, UT, USA
| | - Niall McAlinden
- SUPA, Institute of Photonics, Department of Physics, University of Strathclyde, Glasgow, UK
| | - Yunzhou Cheng
- SUPA, Institute of Photonics, Department of Physics, University of Strathclyde, Glasgow, UK
| | - John D Rolston
- Departments of Neurosurgery and Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
- Department of Neurosurgery, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Loren Rieth
- Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, USA
- Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Martin D Dawson
- SUPA, Institute of Photonics, Department of Physics, University of Strathclyde, Glasgow, UK
| | - Keith Mathieson
- SUPA, Institute of Photonics, Department of Physics, University of Strathclyde, Glasgow, UK
| | - Steve Blair
- Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, USA.
| | - Alessandra Angelucci
- Department of Ophthalmology and Visual Science, Moran Eye Institute, University of Utah, Salt Lake City, UT, USA.
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7
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Cho M, Han JK, Suh J, Kim JJ, Ryu JR, Min IS, Sang M, Lim S, Kim TS, Kim K, Kang K, Hwang K, Kim K, Hong EB, Nam MH, Kim J, Song YM, Lee GJ, Cho IJ, Yu KJ. Fully bioresorbable hybrid opto-electronic neural implant system for simultaneous electrophysiological recording and optogenetic stimulation. Nat Commun 2024; 15:2000. [PMID: 38448437 PMCID: PMC10917781 DOI: 10.1038/s41467-024-45803-0] [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: 04/20/2023] [Accepted: 02/05/2024] [Indexed: 03/08/2024] Open
Abstract
Bioresorbable neural implants based on emerging classes of biodegradable materials offer a promising solution to the challenges of secondary surgeries for removal of implanted devices required for existing neural implants. In this study, we introduce a fully bioresorbable flexible hybrid opto-electronic system for simultaneous electrophysiological recording and optogenetic stimulation. The flexible and soft device, composed of biodegradable materials, has a direct optical and electrical interface with the curved cerebral cortex surface while exhibiting excellent biocompatibility. Optimized to minimize light transmission losses and photoelectric artifact interference, the device was chronically implanted in the brain of transgenic mice and performed to photo-stimulate the somatosensory area while recording local field potentials. Thus, the presented hybrid neural implant system, comprising biodegradable materials, promises to provide monitoring and therapy modalities for versatile applications in biomedicine.
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Affiliation(s)
- Myeongki Cho
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Jeong-Kyu Han
- Brain Science Institute, Korea Institute of Science and Technology, 5. Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Jungmin Suh
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Jeong Jin Kim
- Department of Electronics Engineering, Pusan National University, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan, 46241, Republic of Korea
| | - Jae Ryun Ryu
- Department of Anatomy, College of Medicine, Korea University, 17-gil Koryodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - In Sik Min
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Mingyu Sang
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Selin Lim
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Tae Soo Kim
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Kyubeen Kim
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Kyowon Kang
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Kyuhyun Hwang
- School of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Kanghwan Kim
- Brain Science Institute, Korea Institute of Science and Technology, 5. Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Eun-Bin Hong
- Center for Brain Function, Korea Institute of Science and Technology 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Min-Ho Nam
- Center for Brain Function, Korea Institute of Science and Technology 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Jongbaeg Kim
- School of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Young Min Song
- School of Electrical Engineering and Computer Science (EECS), Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Gil Ju Lee
- Department of Electronics Engineering, Pusan National University, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan, 46241, Republic of Korea.
| | - Il-Joo Cho
- Department of Convergence Medicine, College of Medicine, Korea University, 17-gil Koryodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
- Department of Anatomy, College of Medicine, Korea University, 7-gil Koryodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
| | - Ki Jun Yu
- Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
- Department of Electrical and Electronic Engineering, YU-Korea Institute of Science and Technology (KIST) Institute, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
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8
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Sloin HE, Spivak L, Levi A, Gattegno R, Someck S, Stark E. Local activation of CA1 pyramidal cells induces theta-phase precession. Science 2024; 383:551-558. [PMID: 38301006 DOI: 10.1126/science.adk2456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 12/21/2023] [Indexed: 02/03/2024]
Abstract
Hippocampal theta-phase precession is involved in spatiotemporal coding and in generating multineural spike sequences, but how precession originates remains unresolved. To determine whether precession can be generated directly in hippocampal area CA1 and disambiguate multiple competing mechanisms, we used closed-loop optogenetics to impose artificial place fields in pyramidal cells of mice running on a linear track. More than one-third of the CA1 artificial fields exhibited synthetic precession that persisted for a full theta cycle. By contrast, artificial fields in the parietal cortex did not exhibit synthetic precession. These findings are incompatible with precession models based on inheritance, dual-input, spreading activation, inhibition-excitation summation, or somato-dendritic competition. Thus, a precession generator resides locally within CA1.
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Affiliation(s)
- Hadas E Sloin
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel
- Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Lidor Spivak
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel
- Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Amir Levi
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel
- Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Roni Gattegno
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Shirly Someck
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel
- Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Eran Stark
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel
- Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Sagol Department of Neurobiology, Haifa University, Haifa 3103301, Israel
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9
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Spivak L, Someck S, Levi A, Sivroni S, Stark E. Wired together, change together: Spike timing modifies transmission in converging assemblies. SCIENCE ADVANCES 2024; 10:eadj4411. [PMID: 38232172 DOI: 10.1126/sciadv.adj4411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/15/2023] [Indexed: 01/19/2024]
Abstract
The precise timing of neuronal spikes may lead to changes in synaptic connectivity and is thought to be crucial for learning and memory. However, the effect of spike timing on neuronal connectivity in the intact brain remains unknown. Using closed-loop optogenetic stimulation in CA1 of freely moving mice, we generated unique spike patterns between presynaptic pyramidal cells (PYRs) and postsynaptic parvalbumin (PV)-immunoreactive cells. The stimulation led to spike transmission changes that occurred together across all presynaptic PYRs connected to the same postsynaptic PV cell. The precise timing of all presynaptic and postsynaptic cell spikes affected transmission changes. These findings reveal an unexpected plasticity mechanism, in which the spike timing of an entire cell assembly has a more substantial impact on effective connectivity than that of individual cell pairs.
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Affiliation(s)
- Lidor Spivak
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Shirly Someck
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Amir Levi
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Shir Sivroni
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Department of Mathematics, Afeka-Tel Aviv College of Engineering, Tel-Aviv 6910717, Israel
- Department of Mathematics, The Open University of Israel, Ra'anana 4353701, Israel
| | - Eran Stark
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Sagol Department of Neurobiology, Faculty of Natural Sciences, Haifa University, Haifa 3103301, Israel
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10
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Kinsky NR, Vöröslakos M, Lopez Ruiz JR, Watkins de Jong L, Slager N, McKenzie S, Yoon E, Diba K. Simultaneous electrophysiology and optogenetic perturbation of the same neurons in chronically implanted animals using μLED silicon probes. STAR Protoc 2023; 4:102570. [PMID: 37729059 PMCID: PMC10510336 DOI: 10.1016/j.xpro.2023.102570] [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: 04/24/2023] [Revised: 07/14/2023] [Accepted: 08/21/2023] [Indexed: 09/22/2023] Open
Abstract
Micro-light-emitting-diode (μLED) silicon probes feature independently controllable miniature light-emitting-diodes (LEDs) embedded at several positions in each shank of a multi-shank probe, enabling temporally and spatially precise optogenetic neural circuit interrogation. Here, we present a protocol for performing causal and reproducible neural circuit manipulations in chronically implanted, freely moving animals. We describe steps for introducing optogenetic constructs, preparing and implanting a μLED probe, performing simultaneous in vivo electrophysiology with focal optogenetic perturbation, and recovering a probe following termination of an experiment. For complete details on the use and execution of this protocol, please refer to Watkins de Jong et al. (2023).1.
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Affiliation(s)
- Nathaniel R Kinsky
- Department of Anesthesiology and Neuroscience Graduate Program, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
| | - Mihály Vöröslakos
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA; Neuroscience Institute, Langone Medical Center, New York University, New York, NY 10016, USA
| | - Jose Roberto Lopez Ruiz
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Laurel Watkins de Jong
- Department of Anesthesiology and Neuroscience Graduate Program, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Nathan Slager
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sam McKenzie
- Department of Neuroscience, University of New Mexico, Albuquerque, NM 87131, USA
| | - Euisik Yoon
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Center for Nanomedicine, Institute for Basic Science (IBS) and Graduate Program of Nano Biomedical Engineering (Nano BME), Advanced Science Institute, Yonsei University, Seoul 03722, South Korea
| | - Kamran Diba
- Department of Anesthesiology and Neuroscience Graduate Program, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
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11
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Liang M, Jian T, Tao J, Wang X, Wang R, Jin W, Chen Q, Yao J, Zhao Z, Yang X, Xiao J, Yang Z, Liao X, Chen X, Wang L, Qin H. Hypothalamic supramammillary neurons that project to the medial septum modulate wakefulness in mice. Commun Biol 2023; 6:1255. [PMID: 38087004 PMCID: PMC10716381 DOI: 10.1038/s42003-023-05637-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
The hypothalamic supramammillary nucleus (SuM) plays a crucial role in controlling wakefulness, but the downstream target regions participating in this control process remain unknown. Here, using circuit-specific fiber photometry and single-neuron electrophysiology together with electroencephalogram, electromyogram and behavioral recordings, we find that approximately half of SuM neurons that project to the medial septum (MS) are wake-active. Optogenetic stimulation of axonal terminals of SuM-MS projection induces a rapid and reliable transition to wakefulness from non-rapid-eye movement or rapid-eye movement sleep, and chemogenetic activation of SuMMS projecting neurons significantly increases wakefulness time and prolongs latency to sleep. Consistently, chemogenetically inhibiting these neurons significantly reduces wakefulness time and latency to sleep. Therefore, these results identify the MS as a functional downstream target of SuM and provide evidence for the modulation of wakefulness by this hypothalamic-septal projection.
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Affiliation(s)
- Mengru Liang
- Department of Anatomy, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, China
| | - Tingliang Jian
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, 400038, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jie Tao
- Advanced Institute for Brain and Intelligence, School of Medicine, Guangxi University, Nanning, 530004, China
| | - Xia Wang
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, 400044, China
| | - Rui Wang
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, 400038, China
| | - Wenjun Jin
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, 400038, China
| | - Qianwei Chen
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, 400038, China
| | - Jiwei Yao
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, 400044, China
| | - Zhikai Zhao
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, 400044, China
| | - Xinyu Yang
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, 400044, China
| | - Jingyu Xiao
- Department of Anesthesiology, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Zhiqi Yang
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, 400038, China
| | - Xiang Liao
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, 400044, China
| | - Xiaowei Chen
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing, 400038, China.
- Chongqing Institute for Brain and Intelligence, Guangyang Bay Laboratory, Chongqing, 400064, China.
| | - Liecheng Wang
- Department of Anatomy, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, China.
| | - Han Qin
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, 400044, China.
- Chongqing Institute for Brain and Intelligence, Guangyang Bay Laboratory, Chongqing, 400064, China.
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12
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Someck S, Levi A, Sloin HE, Spivak L, Gattegno R, Stark E. Positive and biphasic extracellular waveforms correspond to return currents and axonal spikes. Commun Biol 2023; 6:950. [PMID: 37723241 PMCID: PMC10507124 DOI: 10.1038/s42003-023-05328-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 09/06/2023] [Indexed: 09/20/2023] Open
Abstract
Multiple biophysical mechanisms may generate non-negative extracellular waveforms during action potentials, but the origin and prevalence of positive spikes and biphasic spikes in the intact brain are unknown. Using extracellular recordings from densely-connected cortical networks in freely-moving mice, we find that a tenth of the waveforms are non-negative. Positive phases of non-negative spikes occur in synchrony or just before wider same-unit negative spikes. Narrow positive spikes occur in isolation in the white matter. Isolated biphasic spikes are narrower than negative spikes, occurring right after spikes of verified inhibitory units. In CA1, units with dominant non-negative spikes exhibit place fields, phase precession, and phase-locking to ripples. Thus, near-somatic narrow positive extracellular potentials correspond to return currents, and isolated non-negative spikes correspond to axonal potentials. Identifying non-negative extracellular waveforms that correspond to non-somatic compartments during spikes can enhance the understanding of physiological and pathological neural mechanisms in intact animals.
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Affiliation(s)
- Shirly Someck
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 6997801, Israel
- Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Amir Levi
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 6997801, Israel
- Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Hadas E Sloin
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 6997801, Israel
- Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Lidor Spivak
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 6997801, Israel
- Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Roni Gattegno
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Eran Stark
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 6997801, Israel.
- Department of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel.
- Sagol Department of Neurobiology, Haifa University, Haifa, 3103301, Israel.
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13
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Ding L, Balsamo G, Diamantaki M, Preston-Ferrer P, Burgalossi A. Opto-juxtacellular interrogation of neural circuits in freely moving mice. Nat Protoc 2023; 18:2415-2440. [PMID: 37420087 DOI: 10.1038/s41596-023-00842-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 04/11/2023] [Indexed: 07/09/2023]
Abstract
Neural circuits are assembled from an enormous variety of neuronal cell types. Although significant advances have been made in classifying neurons on the basis of morphological, molecular and electrophysiological properties, understanding how this diversity contributes to brain function during behavior has remained a major experimental challenge. Here, we present an extension to our previous protocol, in which we describe the technical procedures for performing juxtacellular opto-tagging of single neurons in freely moving mice by using Channelrhodopsin-2-expressing viral vectors. This method allows one to selectively target molecularly defined cell classes for in vivo single-cell recordings. The targeted cells can be labeled via juxtacellular procedures and further characterized via post-hoc morphological and molecular analysis. In its current form, the protocol allows multiple recording and labeling attempts to be performed within individual animals, by means of a mechanical pipette micropositioning system. We provide proof-of-principle validation of this technique by recording from Calbindin-positive pyramidal neurons in the mouse hippocampus during spatial exploration; however, this approach can easily be extended to other behaviors and cortical or subcortical areas. The procedures described here, from the viral injection to the histological processing of brain sections, can be completed in ~4-5 weeks.This protocol is an extension to: Nat. Protoc. 9, 2369-2381 (2014): https://doi.org/10.1038/nprot.2014.161.
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Affiliation(s)
- Lingjun Ding
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany
- Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
- Graduate Training Centre of Neuroscience-International Max-Planck Research School (IMPRS), Tübingen, Germany
| | - Giuseppe Balsamo
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany
- Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
- Graduate Training Centre of Neuroscience-International Max-Planck Research School (IMPRS), Tübingen, Germany
| | - Maria Diamantaki
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany
- Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
- Graduate Training Centre of Neuroscience-International Max-Planck Research School (IMPRS), Tübingen, Germany
- Institute of Molecular Biology and Biotechnology, Foundation of Research and Technology-Hellas, Heraklion, Greece
| | - Patricia Preston-Ferrer
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany.
- Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany.
| | - Andrea Burgalossi
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany.
- Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany.
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14
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Aoki Y, Yokoi T, Morikawa S, Kuga N, Ikegaya Y, Sasaki T. Effects of theta phase precessing optogenetic intervention on hippocampal neuronal reactivation and spatial maps. iScience 2023; 26:107233. [PMID: 37534136 PMCID: PMC10392074 DOI: 10.1016/j.isci.2023.107233] [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: 05/04/2023] [Revised: 06/04/2023] [Accepted: 06/23/2023] [Indexed: 08/04/2023] Open
Abstract
As animals explore environments, hippocampal place cells sequentially fire at progressively earlier phases of theta oscillations in hippocampal local field potentials. In this study, we evaluated the network-level significance of theta phase-entrained neuronal activity in organizing place cell spike patterns. A closed-loop system was developed in which optogenetic stimulation with a temporal pattern replicating theta phase precession is delivered to hippocampal CA1 neurons when rats traversed a particular region on a linear track. Place cells that had place fields during phase precessing stimulation, but not random phase stimulation, showed stronger reactivation during hippocampal sharp-wave ripples in a subsequent rest period. After the rest period, place cells with place fields that emerged during phase precessing stimulation showed more stable place fields. These results imply that neuronal reactivation and stability of spatial maps are mediated by theta phase precession in the hippocampus.
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Affiliation(s)
- Yuki Aoki
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Taiki Yokoi
- Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aramaki-Aoba, Aoba-Ku, Sendai 980-8578, Japan
| | - Shota Morikawa
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Institute for AI and Beyond, The University of Tokyo, Tokyo 113-0033, Japan
| | - Nahoko Kuga
- Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aramaki-Aoba, Aoba-Ku, Sendai 980-8578, Japan
| | - Yuji Ikegaya
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Institute for AI and Beyond, The University of Tokyo, Tokyo 113-0033, Japan
- Center for Information and Neural Networks, 1-4 Yamadaoka, Suita City, Osaka 565-0871, Japan
| | - Takuya Sasaki
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Pharmacology, Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3 Aramaki-Aoba, Aoba-Ku, Sendai 980-8578, Japan
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15
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Yang X, Chen Q, Jian T, Du H, Jin W, Liang M, Wang R, Chen X, Liao X, Qin H. Optrode recording of an entorhinal-cortical circuit in freely moving mice. BIOMEDICAL OPTICS EXPRESS 2023; 14:1911-1922. [PMID: 37206131 PMCID: PMC10191667 DOI: 10.1364/boe.487191] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/20/2023] [Accepted: 03/21/2023] [Indexed: 05/21/2023]
Abstract
The deep layers of medial entorhinal cortex (MEC) are considered a crucial station for spatial cognition and memory. The deep sublayer Va of MEC (MECVa) serves as the output stage of the entorhinal-hippocampal system and sends extensive projections to brain cortical areas. However, the functional heterogeneity of these efferent neurons in MECVa is poorly understood, due to the difficulty of performing single-neuron activity recording from the narrow band of cell population while the animals are behaving. In the current study, we combined multi-electrode electrophysiological recording and optical stimulation to record cortical-projecting MECVa neurons at single-neuron resolution in freely moving mice. First, injection of a viral Cre-LoxP system was used to express channelrhodopsin-2 specifically in MECVa neurons that project to the medial part of the secondary visual cortex (V2M-projecting MECVa neurons). Then, a lightweight, self-made optrode was implanted into MECVa to identify the V2M-projecting MECVa neurons and to enable single-neuron activity recordings in mice performing the open field test and 8-arm radial maze. Our results demonstrate that optrode approach is an accessible and reliable method for single-neuron recording of V2M-projecting MECVa neurons in freely moving mice, paving the way for future circuit studies designed to characterize the activity of MECVa neurons during specific tasks.
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Affiliation(s)
- Xinyu Yang
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400044, China
| | - Qianwei Chen
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
| | - Tingliang Jian
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, China
| | - Haoran Du
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400044, China
| | - Wenjun Jin
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
| | - Mengru Liang
- Department of Anatomy, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Rui Wang
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
| | - Xiaowei Chen
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
- Chongqing Institute for Brain and Intelligence, Guangyang Bay Laboratory, Chongqing 400064, China
| | - Xiang Liao
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400044, China
| | - Han Qin
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400044, China
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16
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Angelucci A, Clark A, Ingold A, Reiche C, Cundy D, Balsor J, Federer F, McAlinden N, Cheng Y, Rolston J, Rieth L, Dawson M, Mathieson K, Blair S. An Optrode Array for Spatiotemporally Precise Large-Scale Optogenetic Stimulation of Deep Cortical Layers in Non-human Primates. RESEARCH SQUARE 2023:rs.3.rs-2322768. [PMID: 36909489 PMCID: PMC10002840 DOI: 10.21203/rs.3.rs-2322768/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Optogenetics has transformed studies of neural circuit function, but remains challenging to apply in non-human primates (NHPs). A major challenge is delivering intense and spatially precise patterned photostimulation across large volumes in deep tissue. Here, we have developed and validated the Utah Optrode Array (UOA) to meet this critical need. The UOA is a 10×10 glass waveguide array bonded to an electrically-addressable μLED array. In vivo electrophysiology and immediate early gene (c-fos) immunohistochemistry demonstrated the UOA allows for large-scale spatiotemporally precise neuromodulation of deep tissue in macaque primary visual cortex. Specifically, the UOA permits both focal (single layers or columns), and large-scale (across multiple layers or columns) photostimulation of deep cortical layers, simply by varying the number of simultaneously activated μLEDs and/or the light irradiance. These results establish the UOA as a powerful tool for studying targeted neural populations within single or across multiple deep layers in complex NHP circuits.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - John Rolston
- Brigham & Women's Hospital and Harvard Medical School
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17
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Smirnov IV, Malyshev AY. Paired optogenetic and visual stimulation can change the orientation selectivity of visual cortex neurons. Biochem Biophys Res Commun 2023; 646:63-69. [PMID: 36706707 DOI: 10.1016/j.bbrc.2023.01.058] [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: 11/17/2022] [Accepted: 01/19/2023] [Indexed: 01/22/2023]
Abstract
Synaptic plasticity is currently considered the main mechanism underlying the plastic modification of neural networks. The vast majority of studies of synaptic plasticity are carried out on reduced preparations, but the situation in vivo is fundamentally different from that in vitro. In this work, we used the Hebbian paradigm, which is known to induce long-term changes in synaptic strength in vitro, to manipulate the properties of a single pyramidal neuron in the mouse visual cortex. We have shown that optogenetic stimulation of a ChR2-expressing pyramidal neuron in the primary visual cortex of Thy-ChR2 mice paired with the presentation of a visual stimulus of non-optimal orientation induces long-term changes in the properties of the receptive field, manifested in alteration of the orientation selectivity of the cell. Non-paired stimulation did not lead to changes in the properties of the receptive field of the neuron during the experiment. Thus, we have demonstrated the role of associative plasticity in the dynamic organization of the receptive fields of neurons in the visual cortex.
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Affiliation(s)
- Ivan V Smirnov
- Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, 117485, Russia
| | - Alexey Y Malyshev
- Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, 117485, Russia.
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18
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Wang S, Liu Y, Zhu A, Tian Y. In Vivo Electrochemical Biosensors: Recent Advances in Molecular Design, Electrode Materials, and Electrochemical Devices. Anal Chem 2023; 95:388-406. [PMID: 36625112 DOI: 10.1021/acs.analchem.2c04541] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Electrochemical biosensors provide powerful tools for dissecting the dynamically changing neurochemical signals in the living brain, which contribute to the insight into the physiological and pathological processes of the brain, due to their high spatial and temporal resolutions. Recent advances in the integration of in vivo electrochemical sensors with cross-disciplinary advances have reinvigorated the development of in vivo sensors with even better performance. In this Review, we summarize the recent advances in molecular design, electrode materials, and electrochemical devices for in vivo electrochemical sensors from molecular to macroscopic dimensions, highlighting the methods to obtain high performance for fulfilling the requirements for determination in the complex brain through flexible and smart design of molecules, materials, and devices. Also, we look forward to the development of next-generation in vivo electrochemical biosensors.
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Affiliation(s)
- Shidi Wang
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Yuandong Liu
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Anwei Zhu
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
| | - Yang Tian
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, Department of Chemistry, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, China
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19
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Qin H, Fu L, Jian T, Jin W, Liang M, Li J, Chen Q, Yang X, Du H, Liao X, Zhang K, Wang R, Liang S, Yao J, Hu B, Ren S, Zhang C, Wang Y, Hu Z, Jia H, Konnerth A, Chen X. REM sleep-active hypothalamic neurons may contribute to hippocampal social-memory consolidation. Neuron 2022; 110:4000-4014.e6. [PMID: 36272414 DOI: 10.1016/j.neuron.2022.09.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 07/29/2022] [Accepted: 09/02/2022] [Indexed: 11/05/2022]
Abstract
The hippocampal CA2 region plays a key role in social memory. The encoding of such memory involves afferent activity from the hypothalamic supramammillary nucleus (SuM) to CA2. However, the neuronal circuits required for consolidation of freshly encoded social memory remain unknown. Here, we used circuit-specific optical and single-cell electrophysiological recordings in mice to explore the role of sleep in social memory consolidation and its underlying circuit mechanism. We found that SuM neurons projecting to CA2 were highly active during rapid-eye-movement (REM) sleep but not during non-REM sleep or quiet wakefulness. REM-sleep-selective optogenetic silencing of these neurons impaired social memory. By contrast, the silencing of another group of REM sleep-active SuM neurons that projects to the dentate gyrus had no effect on social memory. Therefore, we provide causal evidence that the REM sleep-active hypothalamic neurons that project to CA2 are specifically required for the consolidation of social memory.
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Affiliation(s)
- Han Qin
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400044, China; Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China.
| | - Ling Fu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Key Laboratory for Biomedical Photonics of Ministry of Education, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Tingliang Jian
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Wenjun Jin
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
| | - Mengru Liang
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China; Department of Anatomy, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
| | - Jin Li
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
| | - Qianwei Chen
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
| | - Xinyu Yang
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400044, China
| | - Haoran Du
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400044, China
| | - Xiang Liao
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400044, China
| | - Kuan Zhang
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
| | - Rui Wang
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
| | - Shanshan Liang
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China
| | - Jiwei Yao
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400044, China
| | - Bo Hu
- Institute of Brain and Intelligence, Third Military Medical University, Chongqing 400038, China
| | - Shuancheng Ren
- Institute of Brain and Intelligence, Third Military Medical University, Chongqing 400038, China
| | - Chunqing Zhang
- Institute of Brain and Intelligence, Third Military Medical University, Chongqing 400038, China
| | - Yanjiang Wang
- Institute of Brain and Intelligence, Third Military Medical University, Chongqing 400038, China
| | - Zhian Hu
- Institute of Brain and Intelligence, Third Military Medical University, Chongqing 400038, China
| | - Hongbo Jia
- Advanced Institute for Brain and Intelligence, Guangxi University, Nanning 530004, China; Institute of Neuroscience and the Munich Cluster for Systems Neurology, Technical University of Munich, 80802 Munich, Germany; Brain Research Instrument Innovation Center, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China; Combinatorial NeuroImaging Core Facility, Leibniz Institute for Neurobiology, 39118 Magdeburg, Germany
| | - Arthur Konnerth
- Advanced Institute for Brain and Intelligence, Guangxi University, Nanning 530004, China; Institute of Neuroscience and the Munich Cluster for Systems Neurology, Technical University of Munich, 80802 Munich, Germany
| | - Xiaowei Chen
- Brain Research Center and State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University, Chongqing 400038, China; Chongqing Institute for Brain and Intelligence, Guangyang Bay Laboratory, Chongqing 400064, China.
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20
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Sukman LJ, Stark E. Cortical Pyramidal and Parvalbumin Cells Exhibit Distinct Spatiotemporal Extracellular Electric Potentials. eNeuro 2022; 9:ENEURO.0265-22.2022. [PMID: 36414411 PMCID: PMC9744183 DOI: 10.1523/eneuro.0265-22.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 10/18/2022] [Accepted: 11/07/2022] [Indexed: 11/23/2022] Open
Abstract
Brain circuits are composed of diverse cell types with distinct morphologies, connections, and distributions of ion channels. Modeling suggests that the spatial distribution of the extracellular voltage during a spike depends on cellular morphology, connectivity, and identity. However, experimental evidence from the intact brain is lacking. Here, we combined high-density recordings from hippocampal region CA1 and neocortex of freely moving mice with optogenetic tagging of parvalbumin-immunoreactive (PV) cells. We used ground truth tagging of the recorded pyramidal cells (PYR) and PV cells to construct binary classification models. Features derived from single-channel waveforms or from spike timing alone allowed near-perfect classification of PYR and PV cells. To determine whether there is unique information in the spatial distribution of the extracellular potentials, we removed all single-channel waveform information from the multichannel waveforms using an event-based delta-transformation. We found that spatiotemporal features derived from the transformed waveforms yield accurate classification. The extracellular analog of the spatial distribution of the initial depolarization phase provided the highest contribution to the spatially based prediction. Compared with PV cell spikes, PYR spikes exhibited higher spatial synchrony at the beginning of the extracellular spike and lower synchrony at the trough. The successful classification of PYR and PV cells based on purely spatial features provides direct experimental evidence that spikes of distinct cell types are associated with distinct spatial distributions of extracellular potentials.
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Affiliation(s)
- Lior J Sukman
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Eran Stark
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
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21
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Yasunaga H, Takeuchi H, Mizuguchi K, Nishikawa A, Loesing A, Ishikawa M, Kamiyoshihara C, Setogawa S, Ohkawa N, Sekiguchi H. MicroLED neural probe for effective in vivo optogenetic stimulation. OPTICS EXPRESS 2022; 30:40292-40305. [PMID: 36298964 DOI: 10.1364/oe.470318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
The MicroLED probe enables optogenetic control of neural activity in spatially separated brain regions. Understanding its heat generation characteristics is important. In this study, we investigated the temperature rise (ΔT) characteristics in the brain tissue using a MicroLED probe. The ΔT strongly depended on the surrounding environment of the probe, including the differences between the air and the brain, and the area touching the brain tissue. Through animal experiments, we suggest an in situ temperature monitoring method using temperature dependence on electrical characteristics of the MicroLED. Finally, optical stimulation by MicroLEDs proved effective in controlling optogenetic neural activity in animal models.
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22
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Fernandez-Ruiz A, Oliva A, Chang H. High-resolution optogenetics in space and time. Trends Neurosci 2022; 45:854-864. [PMID: 36192264 DOI: 10.1016/j.tins.2022.09.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/12/2022] [Accepted: 09/13/2022] [Indexed: 10/31/2022]
Abstract
To understand the neural mechanisms of behavior, it is necessary to both monitor and perturb the activity of ensembles of neurons with high specificity. While neural ensemble recordings have been available for decades, progress in high-resolution manipulation techniques has lagged behind. Optogenetics has enabled the manipulation of genetically defined cell types in behaving animals, and recent developments, including multipoint nanofabricated light sources, provide spatiotemporal resolution on a par with that of physiological recordings. Here we review current advances in optogenetic methods for cellular-resolution stimulation and intervention, as well as their integration with real-time neural recordings for closed-loop experimentation. We discuss how these approaches open the door to new kinds of experiments aimed at dissecting the role of specific neural patterns and discrete cellular populations in orchestrating the activity of brain circuits that support behavior and cognition.
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Affiliation(s)
| | - Azahara Oliva
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA
| | - Hongyu Chang
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA
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23
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Levi A, Spivak L, Sloin HE, Someck S, Stark E. Error correction and improved precision of spike timing in converging cortical networks. Cell Rep 2022; 40:111383. [PMID: 36130516 PMCID: PMC9513803 DOI: 10.1016/j.celrep.2022.111383] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 05/26/2022] [Accepted: 08/28/2022] [Indexed: 11/20/2022] Open
Abstract
The brain propagates neuronal signals accurately and rapidly. Nevertheless, whether and how a pool of cortical neurons transmits an undistorted message to a target remains unclear. We apply optogenetic white noise signals to small assemblies of cortical pyramidal cells (PYRs) in freely moving mice. The directly activated PYRs exhibit a spike timing precision of several milliseconds. Instead of losing precision, interneurons driven via synaptic activation exhibit higher precision with respect to the white noise signal. Compared with directly activated PYRs, postsynaptic interneuron spike trains allow better signal reconstruction, demonstrating error correction. Data-driven modeling shows that nonlinear amplification of coincident spikes can generate error correction and improved precision. Over multiple applications of the same signal, postsynaptic interneuron spiking is most reliable at timescales ten times shorter than those of the presynaptic PYR, exhibiting temporal coding. Similar results are observed in hippocampal region CA1. Coincidence detection of convergent inputs enables messages to be precisely propagated between cortical PYRs and interneurons. PYR-to-interneuron spike transmission exhibits error correction and improved precision Interneuron precision is higher when a larger pool of presynaptic PYRs is recruited Error correction and improved precision are consistent with coincidence detection Interneurons activated by synaptic transmission act as temporal coders
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Affiliation(s)
- Amir Levi
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Lidor Spivak
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Hadas E Sloin
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Shirly Someck
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Eran Stark
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.
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24
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HUANG W, QIN J, ZHANG C, QIN H, XIE P. Footshock-induced activation of the claustrum-entorhinal cortical pathway in freely moving mice. Physiol Res 2022; 71:695-701. [PMID: 36047724 PMCID: PMC9841810 DOI: 10.33549/physiolres.934899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Footshock is frequently used as an unconditioned stimulus in fear conditioning behavior studies. The medial entorhinal cortex (MEC) contributes to fear learning and receives neuronal inputs from the claustrum. However, whether footshocks can induce a neuronal response in claustrum-MEC (CLA-MEC) projection remains unknown. Here, we combined fiber-based Ca2+ recordings with a retrograde AAV labeling method to investigate neuronal responses of MEC-projecting claustral neurons to footshock stimulation in freely moving mice. We achieved successful Ca2+ recordings in both anesthetized and freely exploring mice. We found that footshock stimulation reliably induced neuronal responses to MEC-projecting claustral neurons. Therefore, the footshock-induced response detected in the CLA-MEC projection suggests its potential role in fear processin.
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Affiliation(s)
- Wushuang HUANG
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
| | - Jing QIN
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
| | - Chunqing ZHANG
- Department of Neurosurgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Han QIN
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, China
| | - Peng XIE
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
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25
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Ryu D, Lee Y, Lee Y, Lee Y, Hwang S, Kim YK, Jun SB, Lee HW, Ji CH. Silicon optrode array with monolithically integrated SU-8 waveguide and single LED light source. J Neural Eng 2022; 19. [PMID: 35797969 DOI: 10.1088/1741-2552/ac7f5f] [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: 04/29/2022] [Accepted: 07/07/2022] [Indexed: 11/11/2022]
Abstract
This paper presents a conventional LED (light emitting diode) and polymer waveguide coupled silicon optrode array. Unique lens design at the waveguide inlet enables a high light coupling efficiency with a single LED light source, and provides small power consumption compatible with a wireless optogenetic neuromodulation system. To increase the light intensity at the waveguide tip, a lensed waveguide is fabricated with epoxy-based photoresist SU-8, which has a plano-convex lens shape at the waveguide inlet to focus the light in the horizontal direction. In addition, a cylindrical lens is assembled in front of the waveguide inlet to focus the source light in the vertical direction. The glass cylindrical lens and SU-8 plano-convex lens increased the light coupling efficiency by 6.7 dB and 6.6 dB, respectively. The fabricated 1×4 array of optrodes is assembled with a single LED with 465 nm wavelength, which produces a light intensity of approximately 2.7 mW/mm2 at the SU-8 waveguide outlet when 50 mA input current is applied to the LED. Each optrode has four recording electrodes at the SU-8 waveguide outlet. The average impedance of the iridium oxide (IrOx) electroplated recording electrodes is 43.6 kΩ. In-vivo experiment at the hippocampus region CA1 and CA2 demonstrated the capability of optical stimulation and neural signal recording through the LED and SU-8 waveguide coupled silicon optrode array.
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Affiliation(s)
- Daeho Ryu
- Electrical and computer engineering, Seoul National University, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul, 08826, Korea (the Republic of)
| | - Youjin Lee
- Department of Electronic and Electrical Engineering, Graduate Program in Smart Factory, Ewha Womans University, Asan Engineering Building, Seoul, 03760, Korea (the Republic of)
| | - Yongseung Lee
- Department of Electrical and Computer Engineering, , Seoul National University, 301 Dong 1116 Ho, Gwanak-gu, Seoul, 08826, Korea (the Republic of)
| | - Yena Lee
- Department of Electronic and Electrical Engineering, Ewha Womans University, Asan Engineering Building, Seoul, 03760, Korea (the Republic of)
| | - Seoyoung Hwang
- Department of Electronic and Electrical Engineering, Ewha Womans University, Asan Engineering Building, Seoul, 03760, Korea (the Republic of)
| | - Yong-Kweon Kim
- Department of Electrical and Computer Engineering, Graduate School of Engineering Practice, Seoul National University, Seoul National University, PO Box 34, Kwanak, Seoul 151-600, Korea, Gwanak-gu, Seoul, 08826, Korea (the Republic of)
| | - Sang Beom Jun
- Department of Electronic and Electrical Engineering, Graduate Program in Smart Factory, Ewha Womans University, Department of Brain and Cognitive Sciences, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemungu, Seoul, 03760, Korea (the Republic of)
| | - Hyang Woon Lee
- Departments of Neurology, Medical Science, and Computational Medicine, Graduate Program in System Health Science and Engineering, Ewha Womans University, Ewha Womans University Medical Center, Seoul, 03760, Korea (the Republic of)
| | - Chang-Hyeon Ji
- Department of Electronics and Electrical Engineering, Graduate Program in Smart Factory, Ewha Womans University, Asan Engineering Building #432, Seoul, Republic of Korea, Seoul, 03760, Korea (the Republic of)
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26
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Vöröslakos M, Kim K, Slager N, Ko E, Oh S, Parizi SS, Hendrix B, Seymour JP, Wise KD, Buzsáki G, Fernández‐Ruiz A, Yoon E. HectoSTAR μLED Optoelectrodes for Large-Scale, High-Precision In Vivo Opto-Electrophysiology. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2105414. [PMID: 35451232 PMCID: PMC9218760 DOI: 10.1002/advs.202105414] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 03/03/2022] [Indexed: 05/27/2023]
Abstract
Dynamic interactions within and across brain areas underlie behavioral and cognitive functions. To understand the basis of these processes, the activities of distributed local circuits inside the brain of a behaving animal must be synchronously recorded while the inputs to these circuits are precisely manipulated. Even though recent technological advances have enabled such large-scale recording capabilities, the development of the high-spatiotemporal-resolution and large-scale modulation techniques to accompany those recordings has lagged. A novel neural probe is presented in this work that enables simultaneous electrical monitoring and optogenetic manipulation of deep neuronal circuits at large scales with a high spatiotemporal resolution. The "hectoSTAR" micro-light-emitting-diode (μLED) optoelectrode features 256 recording electrodes and 128 stimulation μLEDs monolithically integrated on the surface of its four 30-µm thick silicon micro-needle shanks, covering a large volume with 1.3-mm × 0.9-mm cross-sectional area located as deep as 6 mm inside the brain. The use of this device in behaving mice for dissecting long-distance network interactions across cortical layers and hippocampal regions is demonstrated. The recording-and-stimulation capabilities hectoSTAR μLED optoelectrodes enables will open up new possibilities for the cellular and circuit-based investigation of brain functions in behaving animals.
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Affiliation(s)
- Mihály Vöröslakos
- Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMI48109USA
- Neuroscience InstituteLangone Medical CenterNew York UniversityNew YorkNY10016USA
| | - Kanghwan Kim
- Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMI48109USA
- Center for BioMicrosystemsBrain Science InstituteKorea Institute of Science and TechnologySeoul02792South Korea
| | - Nathan Slager
- Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMI48109USA
| | - Eunah Ko
- Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMI48109USA
| | - Sungjin Oh
- Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMI48109USA
| | - Saman S. Parizi
- Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMI48109USA
| | - Blake Hendrix
- Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMI48109USA
| | - John P. Seymour
- Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMI48109USA
- Department of NeurosurgeryUniversity of Texas Health Science CenterHoustonTX77030USA
| | - Kensall D. Wise
- Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMI48109USA
| | - György Buzsáki
- Neuroscience InstituteLangone Medical CenterNew York UniversityNew YorkNY10016USA
| | | | - Euisik Yoon
- Department of Electrical Engineering and Computer ScienceUniversity of MichiganAnn ArborMI48109USA
- Department of Biomedical EngineeringUniversity of MichiganAnn ArborMI48109USA
- Center for NanomedicineInstitute for Basic Science (IBS) and Graduate Program of Nano Biomedical Engineering (Nano BME)Advanced Science InstituteYonsei UniversitySeoul03722South Korea
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27
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Spivak L, Levi A, Sloin HE, Someck S, Stark E. Deconvolution improves the detection and quantification of spike transmission gain from spike trains. Commun Biol 2022; 5:520. [PMID: 35641587 PMCID: PMC9156687 DOI: 10.1038/s42003-022-03450-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/04/2022] [Indexed: 12/22/2022] Open
Abstract
Accurate detection and quantification of spike transmission between neurons is essential for determining neural network mechanisms that govern cognitive functions. Using point process and conductance-based simulations, we found that existing methods for determining neuronal connectivity from spike times are highly affected by burst spiking activity, resulting in over- or underestimation of spike transmission. To improve performance, we developed a mathematical framework for decomposing the cross-correlation between two spike trains. We then devised a deconvolution-based algorithm for removing effects of second-order spike train statistics. Deconvolution removed the effect of burst spiking, improving the estimation of neuronal connectivity yielded by state-of-the-art methods. Application of deconvolution to neuronal data recorded from hippocampal region CA1 of freely-moving mice produced higher estimates of spike transmission, in particular when spike trains exhibited bursts. Deconvolution facilitates the precise construction of complex connectivity maps, opening the door to enhanced understanding of the neural mechanisms underlying brain function.
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Affiliation(s)
- Lidor Spivak
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Amir Levi
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Hadas E Sloin
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Shirly Someck
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Eran Stark
- Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel.
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28
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Fang J, Huang S, Liu F, He G, Li X, Huang X, Chen HJ, Xie X. Semi-Implantable Bioelectronics. NANO-MICRO LETTERS 2022; 14:125. [PMID: 35633391 PMCID: PMC9148344 DOI: 10.1007/s40820-022-00818-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 02/09/2022] [Indexed: 06/15/2023]
Abstract
Developing techniques to effectively and real-time monitor and regulate the interior environment of biological objects is significantly important for many biomedical engineering and scientific applications, including drug delivery, electrophysiological recording and regulation of intracellular activities. Semi-implantable bioelectronics is currently a hot spot in biomedical engineering research area, because it not only meets the increasing technical demands for precise detection or regulation of biological activities, but also provides a desirable platform for externally incorporating complex functionalities and electronic integration. Although there is less definition and summary to distinguish it from the well-reviewed non-invasive bioelectronics and fully implantable bioelectronics, semi-implantable bioelectronics have emerged as highly unique technology to boost the development of biochips and smart wearable device. Here, we reviewed the recent progress in this field and raised the concept of "Semi-implantable bioelectronics", summarizing the principle and strategies of semi-implantable device for cell applications and in vivo applications, discussing the typical methodologies to access to intracellular environment or in vivo environment, biosafety aspects and typical applications. This review is meaningful for understanding in-depth the design principles, materials fabrication techniques, device integration processes, cell/tissue penetration methodologies, biosafety aspects, and applications strategies that are essential to the development of future minimally invasive bioelectronics.
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Affiliation(s)
- Jiaru Fang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China
| | - Shuang Huang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China
| | - Fanmao Liu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China
| | - Gen He
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China
| | - Xiangling Li
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China
| | - Xinshuo Huang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China
| | - Hui-Jiuan Chen
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China
| | - Xi Xie
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, People's Republic of China.
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29
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Multichannel optogenetics combined with laminar recordings for ultra-controlled neuronal interrogation. Nat Commun 2022; 13:985. [PMID: 35190556 PMCID: PMC8861070 DOI: 10.1038/s41467-022-28629-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 02/02/2022] [Indexed: 11/18/2022] Open
Abstract
Simultaneous large-scale recordings and optogenetic interventions may hold the key to deciphering the fast-paced and multifaceted dialogue between neurons that sustains brain function. Here we have taken advantage of thin, cell-sized, optical fibers for minimally invasive optogenetics and flexible implantations. We describe a simple procedure for making those fibers side-emitting with a Lambertian emission distribution. Here we combined those fibers with silicon probes to achieve high-quality recordings and ultrafast multichannel optogenetic inhibition. Furthermore, we developed a multi-channel optical commutator and general-purpose patch-cord for flexible experiments. We demonstrate that our framework allows to conduct simultaneous laminar recordings and multifiber stimulations, 3D optogenetic stimulation, connectivity inference, and behavioral quantification in freely moving animals. Our framework paves the way for large-scale photo tagging and controlled interrogation of rapid neuronal communication in any combination of brain areas. Researchers from Freiburg University developed an ultraflexible fiber-based 3D light delivery system for electrophysiology and optogenetic manipulation in freely moving animals. The system allows multiside modulation of neuronal activity combined with neuronal measurements.
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30
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Valero M, Zutshi I, Yoon E, Buzsáki G. Probing subthreshold dynamics of hippocampal neurons by pulsed optogenetics. Science 2022; 375:570-574. [PMID: 35113721 PMCID: PMC9632609 DOI: 10.1126/science.abm1891] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Understanding how excitatory (E) and inhibitory (I) inputs are integrated by neurons requires monitoring their subthreshold behavior. We probed the subthreshold dynamics using optogenetic depolarizing pulses in hippocampal neuronal assemblies in freely moving mice. Excitability decreased during sharp-wave ripples coupled with increased I. In contrast to this "negative gain," optogenetic probing showed increased within-field excitability in place cells by weakening I and unmasked stable place fields in initially non-place cells. Neuronal assemblies active during sharp-wave ripples in the home cage predicted spatial overlap and sequences of place fields of both place cells and unmasked preexisting place fields of non-place cells during track running. Thus, indirect probing of subthreshold dynamics in neuronal populations permits the disclosing of preexisting assemblies and modes of neuronal operations.
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Affiliation(s)
- Manuel Valero
- Neuroscience Institute, Langone Medical Center, New York University, New York, NY 10016, USA,Corresponding author. (M.V.); (G.B.)
| | - Ipshita Zutshi
- Neuroscience Institute, Langone Medical Center, New York University, New York, NY 10016, USA
| | - Euisik Yoon
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA,Center for Nanomedicine, Institute for Basic Science (IBS) and Graduate Program of Nano Biomedical Engineering (Nano BME), Yonsei University, Seoul 03722, South Korea
| | - György Buzsáki
- Neuroscience Institute, Langone Medical Center, New York University, New York, NY 10016, USA,Neuroscience Institute and Department of Neurology, Langone Medical Center, New York, NY 10016, USA,Center for Neural Science, New York University, New York, NY 10003, USA,Corresponding author. (M.V.); (G.B.)
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31
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Ding L, Balsamo G, Chen H, Blanco-Hernandez E, Zouridis IS, Naumann R, Preston-Ferrer P, Burgalossi A. Juxtacellular opto-tagging of hippocampal CA1 neurons in freely moving mice. eLife 2022; 11:71720. [PMID: 35080491 PMCID: PMC8791633 DOI: 10.7554/elife.71720] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 01/06/2022] [Indexed: 01/05/2023] Open
Abstract
Neural circuits are made of a vast diversity of neuronal cell types. While immense progress has been made in classifying neurons based on morphological, molecular, and functional properties, understanding how this heterogeneity contributes to brain function during natural behavior has remained largely unresolved. In the present study, we combined the juxtacellular recording and labeling technique with optogenetics in freely moving mice. This allowed us to selectively target molecularly defined cell classes for in vivo single-cell recordings and morphological analysis. We validated this strategy in the CA1 region of the mouse hippocampus by restricting Channelrhodopsin expression to Calbindin-positive neurons. Directly versus indirectly light-activated neurons could be readily distinguished based on the latencies of light-evoked spikes, with juxtacellular labeling and post hoc histological analysis providing ‘ground-truth’ validation. Using these opto-juxtacellular procedures in freely moving mice, we found that Calbindin-positive CA1 pyramidal cells were weakly spatially modulated and conveyed less spatial information than Calbindin-negative neurons – pointing to pyramidal cell identity as a key determinant for neuronal recruitment into the hippocampal spatial map. Thus, our method complements current in vivo techniques by enabling optogenetic-assisted structure–function analysis of single neurons recorded during natural, unrestrained behavior.
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Affiliation(s)
- Lingjun Ding
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany.,Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany.,Graduate Training Centre of Neuroscience - International Max-Planck Research School (IMPRS), Tübingen, Germany
| | - Giuseppe Balsamo
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany.,Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany.,Graduate Training Centre of Neuroscience - International Max-Planck Research School (IMPRS), Tübingen, Germany
| | - Hongbiao Chen
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany.,Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany.,Graduate Training Centre of Neuroscience - International Max-Planck Research School (IMPRS), Tübingen, Germany
| | - Eduardo Blanco-Hernandez
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany.,Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
| | - Ioannis S Zouridis
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany.,Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany.,Graduate Training Centre of Neuroscience - International Max-Planck Research School (IMPRS), Tübingen, Germany
| | - Robert Naumann
- Chinese Academy of Sciences, Key Laboratory of Brain Connectome and Manipulation, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Nanshan, China.,Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Patricia Preston-Ferrer
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany.,Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
| | - Andrea Burgalossi
- Institute of Neurobiology, Eberhard Karls University of Tübingen, Tübingen, Germany.,Werner-Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
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32
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Tian H, Xu K, Zou L, Fang Y. Multimodal neural probes for combined optogenetics and electrophysiology. iScience 2022; 25:103612. [PMID: 35106461 PMCID: PMC8786639 DOI: 10.1016/j.isci.2021.103612] [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] [Indexed: 11/11/2022] Open
Abstract
To understand how brain functions arise from interconnected neural networks, it is necessary to develop tools that can allow simultaneous manipulation and recording of neural activities. Multimodal neural probes, especially those that combine optogenetics with electrophysiology, provide a powerful tool for the dissection of neural circuit functions and understanding of brain diseases. In this review, we provide an overview of recent developments in multimodal neural probes. We will focus on materials and integration strategies of multimodal neural probes to achieve combined optogenetic stimulation and electrical recordings with high spatiotemporal precision and low invasiveness. In addition, we will also discuss future opportunities of multimodal neural interfaces in basic and translational neuroscience.
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Affiliation(s)
- Huihui Tian
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Ke Xu
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liang Zou
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Fang
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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33
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Araragi N, Alenina N, Bader M. Carbon-mixed dental cement for fixing fiber optic ferrules prevents visually triggered locomotive enhancement in mice upon optogenetic stimulation. Heliyon 2022; 8:e08692. [PMID: 35024491 PMCID: PMC8732788 DOI: 10.1016/j.heliyon.2021.e08692] [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: 10/06/2021] [Revised: 11/29/2021] [Accepted: 12/27/2021] [Indexed: 11/07/2022] Open
Abstract
Optogenetics enables activation/silencing of specific neurons with unprecedented temporal and spatial resolution. The method, however, is prone to artefacts associated with biophysics of light used for illuminating opsin-expressing neurons. Here we employed Tph2-mhChR2-YFP transgenic mice, which express channelrhodopsin (ChR2) only in serotonergic neurons in the brain, to investigate behavioral effects of optogenetic stimulation of serotonergic neurons. Surprisingly, optogenetic stimulation enhanced locomotion even in ChR2-negative mice. Such unspecific effects are likely to be due to visual agitation caused by light leakage from the dental cement, which is commonly used to fixate optic fiber ferrules on the skull. When we employed black dental cement made by mixing carbons with dental cement powders, such unspecific effects were abolished in ChR2-negative mice, but not in ChR2-positive mice, confirming that enhanced locomotion resulted from serotonergic activation. The method allows extracting genuine behavioral effects of optogenetic stimulation without contamination from visual stimuli caused by light leakage. Dental cement for fixating optic fiber ferrules was shown to permit light leakage. Such light leakage was quantified as photon counts. Leaked light induced locomotive enhancement through visual stimuli. By adding carbon to the dental cement mixture, such light leakage can be prevented. The method enables behavioral experiments without confounding visual factors.
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Affiliation(s)
- Naozumi Araragi
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Straße 10, 13125 Berlin, Germany.,Charité - Berlin University of Medicine, Charitéplatz 1, 10117 Berlin, Germany
| | - Natalia Alenina
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Straße 10, 13125 Berlin, Germany.,Institute of Translational Biomedicine, St. Petersburg State University, University Embankment 7-9, 199034 St. Petersburg, Russia
| | - Michael Bader
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Straße 10, 13125 Berlin, Germany.,Charité - Berlin University of Medicine, Charitéplatz 1, 10117 Berlin, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Berlin, Germany.,Institute for Biology, University of Lübeck, Germany
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34
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Wang L, Ge C, Wang F, Guo Z, Hong W, Jiang C, Ji B, Wang M, Li C, Sun B, Liu J. Dense Packed Drivable Optrode Array for Precise Optical Stimulation and Neural Recording in Multiple-Brain Regions. ACS Sens 2021; 6:4126-4135. [PMID: 34779610 DOI: 10.1021/acssensors.1c01650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The input-output function of neural networks is complicated due to the huge number of neurons and synapses, and some high-density implantable electrophysiology recording tools with a plane structure have been developed for neural circuit studies in recent years. However, traditional plane probes are limited by the record-only function and inability to monitor multiple-brain regions simultaneously, and the complete cognition of neural networks still has a long way away. Herein, we develop a three-dimensional (3D) high-density drivable optrode array for multiple-brain recording and precise optical stimulation simultaneously. The optrode array contains four-layer probes with 1024 microelectrodes and two thinned optical fibers assembled into a 3D-printed drivable module. The recording performance of microelectrodes is optimized by electrochemical modification, and precise implantation depth control of drivable optrodes is verified in agar. Moreover, in vivo experiments indicate neural activities from CA1 and dentate gyrus regions are monitored, and a tracking of the neuron firing for 2 weeks is achieved. The suppression of neuron firing by blue light has been realized through high-density optrodes during optogenetics experiments. With the feature of large-scale recording, optoelectronic integration, and 3D assembly, the high-density drivable optrode array possesses an important value in the research of brain diseases and neural networks.
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Affiliation(s)
- Longchun Wang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chaofan Ge
- Institute of Neuroscience and Key Laboratory of Primate Neurobiology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Fang Wang
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200020, China
| | - Zhejun Guo
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Wen Hong
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chunpeng Jiang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Bowen Ji
- Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an 710072, China
| | - Minghao Wang
- College of Electronics and Information Hangzhou Dianzi University, Hangzhou 310018, China
| | - Chengyu Li
- Institute of Neuroscience and Key Laboratory of Primate Neurobiology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Bomin Sun
- Department of Neurosurgery, Center for Functional Neurosurgery, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200020, China
| | - Jingquan Liu
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Shanghai Jiao Tong University, Shanghai 200240, China
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35
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Petersen PC, Siegle JH, Steinmetz NA, Mahallati S, Buzsáki G. CellExplorer: A framework for visualizing and characterizing single neurons. Neuron 2021; 109:3594-3608.e2. [PMID: 34592168 DOI: 10.1016/j.neuron.2021.09.002] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 07/19/2021] [Accepted: 08/30/2021] [Indexed: 01/28/2023]
Abstract
The large diversity of neuron types provides the means by which cortical circuits perform complex operations. Neuron can be described by biophysical and molecular characteristics, afferent inputs, and neuron targets. To quantify, visualize, and standardize those features, we developed the open-source, MATLAB-based framework CellExplorer. It consists of three components: a processing module, a flexible data structure, and a powerful graphical interface. The processing module calculates standardized physiological metrics, performs neuron-type classification, finds putative monosynaptic connections, and saves them to a standardized, yet flexible, machine-readable format. The graphical interface makes it possible to explore the computed features at the speed of a mouse click. The framework allows users to process, curate, and relate their data to a growing public collection of neurons. CellExplorer can link genetically identified cell types to physiological properties of neurons collected across laboratories and potentially lead to interlaboratory standards of single-cell metrics.
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Affiliation(s)
- Peter C Petersen
- Neuroscience Institute, Langone Medical Center, New York University, New York, NY 10016, USA.
| | - Joshua H Siegle
- MindScope Program, Allen Institute, 615 Westlake Avenue North, Seattle, WA 98109, USA
| | - Nicholas A Steinmetz
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Sara Mahallati
- Institute of Biomedical Engineering, Krembil Research Institute, University of Toronto, Toronto, ON M5T 1M8, Canada
| | - György Buzsáki
- Neuroscience Institute, Langone Medical Center, New York University, New York, NY 10016, USA; Department of Neurology, Langone Medical Center, New York University, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA.
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36
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Guo B, Fan Y, Wang M, Cheng Y, Ji B, Chen Y, Wang G. Flexible Neural Probes with Electrochemical Modified Microelectrodes for Artifact-Free Optogenetic Applications. Int J Mol Sci 2021; 22:ijms222111528. [PMID: 34768957 PMCID: PMC8584107 DOI: 10.3390/ijms222111528] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 11/23/2022] Open
Abstract
With the rapid increase in the use of optogenetics to investigate nervous systems, there is high demand for neural interfaces that can simultaneously perform optical stimulation and electrophysiological recording. However, high-magnitude stimulation artifacts have prevented experiments from being conducted at a desirably high temporal resolution. Here, a flexible polyimide-based neural probe with polyethylene glycol (PEG) packaged optical fiber and Pt-Black/PEDOT-GO (graphene oxide doped poly(3,4-ethylene-dioxythiophene)) modified microelectrodes was developed to reduce the stimulation artifacts that are induced by photoelectrochemical (PEC) and photovoltaic (PV) effects. The advantages of this design include quick and accurate implantation and high-resolution recording capacities. Firstly, electrochemical performance of the modified microelectrodes is significantly improved due to the large specific surface area of the GO layer. Secondly, good mechanical and electrochemical stability of the modified microelectrodes is obtained by using Pt-Black as bonding layer. Lastly, bench noise recordings revealed that PEC noise amplitude of the modified neural probes could be reduced to less than 50 µV and no PV noise was detected when compared to silicon-based neural probes. The results indicate that this device is a promising optogenetic tool for studying local neural circuits.
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Affiliation(s)
- Bangbang Guo
- Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325038, China; (B.G.); (Y.F.); (Y.C.)
- MOE Engineering Research Center of Smart Microsensors and Microsystems, School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Ye Fan
- Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325038, China; (B.G.); (Y.F.); (Y.C.)
- MOE Engineering Research Center of Smart Microsensors and Microsystems, School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Minghao Wang
- Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325038, China; (B.G.); (Y.F.); (Y.C.)
- MOE Engineering Research Center of Smart Microsensors and Microsystems, School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
- Correspondence: (M.W.); (G.W.)
| | - Yuhua Cheng
- Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325038, China; (B.G.); (Y.F.); (Y.C.)
- MOE Engineering Research Center of Smart Microsensors and Microsystems, School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Bowen Ji
- The Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an 710060, China;
| | - Ying Chen
- The Institute of Flexible Electronics Technology of THU, Jiaxing 314000, China;
| | - Gaofeng Wang
- MOE Engineering Research Center of Smart Microsensors and Microsystems, School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China
- Correspondence: (M.W.); (G.W.)
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37
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Li X, Liu C, Wang R. Light Modulation of Brain and Development of Relevant Equipment. J Alzheimers Dis 2021; 74:29-41. [PMID: 32039856 DOI: 10.3233/jad-191240] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Light modulation plays an important role in understanding the pathology of brain disorders and improving brain function. Optogenetic techniques can activate or silence targeted neurons with high temporal and spatial accuracy and provide precise control, and have recently become a method for quick manipulation of genetically identified types of neurons. Photobiomodulation (PBM) is light therapy that utilizes non-ionizing light sources, including lasers, light emitting diodes, or broadband light. It provides a safe means of modulating brain activity without any irreversible damage and has established optimal treatment parameters in clinical practice. This manuscript reviews 1) how optogenetic approaches have been used to dissect neural circuits in animal models of Alzheimer's disease, Parkinson's disease, and depression, and 2) how low level transcranial lasers and LED stimulation in humans improves brain activity patterns in these diseases. State-of-the-art brain machine interfaces that can record neural activity and stimulate neurons with light have good prospects in the future.
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Affiliation(s)
- Xiaoran Li
- School of Information and Electronics, Beijing Institute of Technology, Beijing, China
| | - Chunyan Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Neuromodulation, Beijing, China
| | - Rong Wang
- Central Laboratory, Xuanwu Hospital, Capital Medical University, Beijing Geriatric Medical Research Center, Beijing, China.,Beijing Institute for Brain Disorders, Beijing, China
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38
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Ramezani Z, Seo KJ, Fang H. Hybrid Electrical and Optical Neural Interfaces. JOURNAL OF MICROMECHANICS AND MICROENGINEERING : STRUCTURES, DEVICES, AND SYSTEMS 2021; 31:044002. [PMID: 34177136 PMCID: PMC8232899 DOI: 10.1088/1361-6439/abeb30] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Neural interfaces bridge the nervous system and the outside world by recording and stimulating neurons. Combining electrical and optical modalities in a single, hybrid neural interface system could lead to complementary and powerful new ways to explore the brain. It has gained robust and exciting momentum recently in neuroscience and neural engineering research. Here, we review developments in the past several years aiming to achieve such hybrid electrical and optical microsystem platforms. Specifically, we cover three major categories of technological advances: transparent neuroelectrodes, optical neural fibers with electrodes, and neural probes/grids integrating electrodes and microscale light-emitting diodes. We discuss examples of these probes tailored to combine electrophysiological recording with optical imaging or optical neural stimulation of the brain and possible directions of future innovation.
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Affiliation(s)
| | | | - Hui Fang
- Department of Electrical and Computer Engineering
- Department of Mechanical and Industrial Engineering
- Department of Bioengineering, Northeastern University, Boston, Massachusetts 02115, USA
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39
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McKenzie S, Huszár R, English DF, Kim K, Christensen F, Yoon E, Buzsáki G. Preexisting hippocampal network dynamics constrain optogenetically induced place fields. Neuron 2021; 109:1040-1054.e7. [PMID: 33539763 PMCID: PMC8095399 DOI: 10.1016/j.neuron.2021.01.011] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 10/19/2020] [Accepted: 01/11/2021] [Indexed: 02/06/2023]
Abstract
Memory models often emphasize the need to encode novel patterns of neural activity imposed by sensory drive. Prior learning and innate architecture likely restrict neural plasticity, however. Here, we test how the incorporation of synthetic hippocampal signals is constrained by preexisting circuit dynamics. We optogenetically stimulated small groups of CA1 neurons as mice traversed a chosen segment of a linear track, mimicking the emergence of place fields. Stimulation induced persistent place field remapping in stimulated and non-stimulated neurons. The emergence of place fields could be predicted from sporadic firing in the new place field location and the temporal relationship to peer neurons before the optogenetic perturbation. Circuit modification was reflected by altered spike transmission between connected pyramidal cells and inhibitory interneurons, which persisted during post-experience sleep. We hypothesize that optogenetic perturbation unmasked sub-threshold place fields. Plasticity in recurrent/lateral inhibition may drive learning through the rapid association of existing states.
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Affiliation(s)
- Sam McKenzie
- The Neuroscience Institute, Department of Neurology, NYU Langone Medical Center and Center for Neural Science, New York, NY 10016, USA; Department of Neurosciences, University of New Mexico, Albuquerque, NM 87131, USA
| | - Roman Huszár
- The Neuroscience Institute, Department of Neurology, NYU Langone Medical Center and Center for Neural Science, New York, NY 10016, USA; Center for Neural Science, New York University, 4 Washington Place, New York, NY 10003, USA
| | - Daniel F English
- The Neuroscience Institute, Department of Neurology, NYU Langone Medical Center and Center for Neural Science, New York, NY 10016, USA; School of Neuroscience, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
| | - Kanghwan Kim
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA
| | - Fletcher Christensen
- Department of Mathematics and Statistics, The University of New Mexico, Albuquerque, NM 87131, USA
| | - Euisik Yoon
- Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA; Center for Nanomedicine, Institute for Basic Science (IBS) and Graduate Program of Nano Biomedical Engineering (Nano BME), Yonsei University, Seoul 03722, Republic of Korea
| | - György Buzsáki
- The Neuroscience Institute, Department of Neurology, NYU Langone Medical Center and Center for Neural Science, New York, NY 10016, USA; Center for Neural Science, New York University, 4 Washington Place, New York, NY 10003, USA.
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40
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Zhang X, Schlögl A, Vandael D, Jonas P. MOD: A novel machine-learning optimal-filtering method for accurate and efficient detection of subthreshold synaptic events in vivo. J Neurosci Methods 2021; 357:109125. [PMID: 33711356 DOI: 10.1016/j.jneumeth.2021.109125] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 03/02/2021] [Accepted: 03/07/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND To understand information coding in single neurons, it is necessary to analyze subthreshold synaptic events, action potentials (APs), and their interrelation in different behavioral states. However, detecting excitatory postsynaptic potentials (EPSPs) or currents (EPSCs) in behaving animals remains challenging, because of unfavorable signal-to-noise ratio, high frequency, fluctuating amplitude, and variable time course of synaptic events. NEW METHOD We developed a method for synaptic event detection, termed MOD (Machine-learning Optimal-filtering Detection-procedure), which combines concepts of supervised machine learning and optimal Wiener filtering. Experts were asked to manually score short epochs of data. The algorithm was trained to obtain the optimal filter coefficients of a Wiener filter and the optimal detection threshold. Scored and unscored data were then processed with the optimal filter, and events were detected as peaks above threshold. RESULTS We challenged MOD with EPSP traces in vivo in mice during spatial navigation and EPSC traces in vitro in slices under conditions of enhanced transmitter release. The area under the curve (AUC) of the receiver operating characteristics (ROC) curve was, on average, 0.894 for in vivo and 0.969 for in vitro data sets, indicating high detection accuracy and efficiency. COMPARISON WITH EXISTING METHODS When benchmarked using a (1 - AUC)-1 metric, MOD outperformed previous methods (template-fit, deconvolution, and Bayesian methods) by an average factor of 3.13 for in vivo data sets, but showed comparable (template-fit, deconvolution) or higher (Bayesian) computational efficacy. CONCLUSIONS MOD may become an important new tool for large-scale, real-time analysis of synaptic activity.
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Affiliation(s)
- Xiaomin Zhang
- IST Austria (Institute of Science and Technology Austria), Am Campus 1, A-3400, Klosterneuburg, Austria
| | - Alois Schlögl
- IST Austria (Institute of Science and Technology Austria), Am Campus 1, A-3400, Klosterneuburg, Austria
| | - David Vandael
- IST Austria (Institute of Science and Technology Austria), Am Campus 1, A-3400, Klosterneuburg, Austria
| | - Peter Jonas
- IST Austria (Institute of Science and Technology Austria), Am Campus 1, A-3400, Klosterneuburg, Austria.
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41
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Valero M, Viney TJ, Machold R, Mederos S, Zutshi I, Schuman B, Senzai Y, Rudy B, Buzsáki G. Sleep down state-active ID2/Nkx2.1 interneurons in the neocortex. Nat Neurosci 2021; 24:401-411. [PMID: 33619404 PMCID: PMC9662703 DOI: 10.1038/s41593-021-00797-6] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 01/08/2021] [Indexed: 01/30/2023]
Abstract
Pyramidal cells and GABAergic interneurons fire together in balanced cortical networks. In contrast to this general rule, we describe a distinct neuron type in mice and rats whose spiking activity is anti-correlated with all principal cells and interneurons in all brain states but, most prevalently, during the down state of non-REM (NREM) sleep. We identify these down state-active (DSA) neurons as deep-layer neocortical neurogliaform cells that express ID2 and Nkx2.1 and are weakly immunoreactive to neuronal nitric oxide synthase. DSA neurons are weakly excited by deep-layer pyramidal cells and strongly inhibited by several other GABAergic cell types. Spiking of DSA neurons modified the sequential firing order of other neurons at down-up transitions. Optogenetic activation of ID2+Nkx2.1+ interneurons in the posterior parietal cortex during NREM sleep, but not during waking, interfered with consolidation of cue discrimination memory. Despite their sparsity, DSA neurons perform critical physiological functions.
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Affiliation(s)
- Manuel Valero
- Neuroscience Institute and Department of Neurology, Langone Medical Center, New York University, New York, NY, USA
| | - Tim J. Viney
- Department of Pharmacology, University of Oxford, Oxford, UK
| | - Robert Machold
- Neuroscience Institute and Department of Neurology, Langone Medical Center, New York University, New York, NY, USA
| | - Sara Mederos
- Neuroscience Institute and Department of Neurology, Langone Medical Center, New York University, New York, NY, USA
| | - Ipshita Zutshi
- Neuroscience Institute and Department of Neurology, Langone Medical Center, New York University, New York, NY, USA
| | - Benjamin Schuman
- Neuroscience Institute and Department of Neurology, Langone Medical Center, New York University, New York, NY, USA
| | - Yuta Senzai
- Neuroscience Institute and Department of Neurology, Langone Medical Center, New York University, New York, NY, USA.,Present address: Department of Physiology, University of California San Francisco, San Francisco, CA, USA
| | - Bernardo Rudy
- Neuroscience Institute and Department of Neurology, Langone Medical Center, New York University, New York, NY, USA.,Department of Anesthesiology, Perioperative Care and Pain Medicine, NYU Langone Medical Center, New York, NY, USA
| | - György Buzsáki
- Neuroscience Institute and Department of Neurology, Langone Medical Center, New York University, New York, NY, USA.,Center for Neural Science, New York University, New York, NY, USA.,Department of Neurology, Langone Medical Center, New York University, New York, NY, USA
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42
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Kampasi K, Ladner I, Zhou J, Soto AC, Hernandez J, Patra S, Haque RU. POEMS (POLYMERIC OPTO-ELECTRO-MECHANICAL SYSTEMS) FOR ADVANCED NEURAL INTERFACES. MATERIALS LETTERS 2021; 285:129015. [PMID: 33716365 PMCID: PMC7946108 DOI: 10.1016/j.matlet.2020.129015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
There has been a growing interest in optical neural interfaces which is driven by the need for improvements in spatial precision, real-time monitoring, and reduced invasiveness. Here, we present unique microfabrication and packaging techniques to build implantable optoelectronics with high precision and spatial complexity. Material characterization of our hybrid polymers shows minimal in vitro degradation, greater flexibility, and lowest optical loss (4.04-4.4 dB/cm at 670 nm) among other polymers reported in prior studies. We use the developed methods to build Lawrence Livermore National Laboratory's (LLNL's) first ultra-compact, lightweight (0.38 g), scalable and minimally invasive thin-film optoelectronic neural implant that can be used for chronic studies of brain activities. The paper concludes by summarizing the progress to date and discussing future opportunities for flexible optoelectronic interfaces in next generation clinical applications.
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Affiliation(s)
- Komal Kampasi
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, USA
- Kavli Institute of Fundamental Neuroscience, University of California–San Francisco, San Francisco, CA, USA
| | - Ian Ladner
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - Jenny Zhou
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - Alicia Calónico Soto
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - Jose Hernandez
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - Susant Patra
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - Razi-ul Haque
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, USA
- Kavli Institute of Fundamental Neuroscience, University of California–San Francisco, San Francisco, CA, USA
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43
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Opalka AN, Huang WQ, Liu J, Liang H, Wang DV. Hippocampal Ripple Coordinates Retrosplenial Inhibitory Neurons during Slow-Wave Sleep. Cell Rep 2021; 30:432-441.e3. [PMID: 31940487 PMCID: PMC7007963 DOI: 10.1016/j.celrep.2019.12.038] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 11/01/2019] [Accepted: 12/12/2019] [Indexed: 12/20/2022] Open
Abstract
The hippocampus and retrosplenial cortex (RSC) play indispensable roles in memory formation, and importantly, a hippocampal oscillation known as ripple is key to consolidation of new memories. However, it remains unclear how the hippocampus and RSC communicate and the role of ripple oscillation in coordinating the activity between these two brain regions. Here, we record from the dorsal hippocampus and RSC simultaneously in freely behaving mice during sleep and reveal that the RSC displays a pre-ripple activation associated with slow and fast oscillations. Immediately after ripples, a subpopulation of RSC putative inhibitory neurons increases firing activity, while most RSC putative excitatory neurons decrease activity. Consistently, optogenetic stimulation of this hippocampus-RSC pathway activates and suppresses RSC putative inhibitory and excitatory neurons, respectively. These results suggest that the dorsal hippocampus mainly inhibits RSC activity via its direct innervation of RSC inhibitory neurons, which overshadows the RSC in supporting learning and memory functions. Converging evidence suggests that hippocampal ripple oscillations and their interaction with the neocortex are critical for memory consolidation. By combining electrophysiology and optogenetic techniques in freely behaving mice, Opalka et al. provide direct evidence that hippocampal ripples communicate with retrosplenial cortex (RSC) interneurons and inhibit RSC population activity during sleep-associated memory consolidation.
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Affiliation(s)
- Ashley N Opalka
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, USA
| | - Wen-Qiang Huang
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, USA
| | - Jun Liu
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, USA
| | - Hualou Liang
- School of Biomedical Engineering, Drexel University, Philadelphia, PA 19104, USA
| | - Dong V Wang
- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA 19129, USA.
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44
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Vandekerckhove B, Missinne J, Vonck K, Bauwens P, Verplancke R, Boon P, Raedt R, Vanfleteren J. Technological Challenges in the Development of Optogenetic Closed-Loop Therapy Approaches in Epilepsy and Related Network Disorders of the Brain. MICROMACHINES 2020; 12:38. [PMID: 33396287 PMCID: PMC7824489 DOI: 10.3390/mi12010038] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 12/24/2020] [Accepted: 12/28/2020] [Indexed: 12/25/2022]
Abstract
Epilepsy is a chronic, neurological disorder affecting millions of people every year. The current available pharmacological and surgical treatments are lacking in overall efficacy and cause side-effects like cognitive impairment, depression, tremor, abnormal liver and kidney function. In recent years, the application of optogenetic implants have shown promise to target aberrant neuronal circuits in epilepsy with the advantage of both high spatial and temporal resolution and high cell-specificity, a feature that could tackle both the efficacy and side-effect problems in epilepsy treatment. Optrodes consist of electrodes to record local field potentials and an optical component to modulate neurons via activation of opsin expressed by these neurons. The goal of optogenetics in epilepsy is to interrupt seizure activity in its earliest state, providing a so-called closed-loop therapeutic intervention. The chronic implantation in vivo poses specific demands for the engineering of therapeutic optrodes. Enzymatic degradation and glial encapsulation of implants may compromise long-term recording and sufficient illumination of the opsin-expressing neural tissue. Engineering efforts for optimal optrode design have to be directed towards limitation of the foreign body reaction by reducing the implant's elastic modulus and overall size, while still providing stable long-term recording and large-area illumination, and guaranteeing successful intracerebral implantation. This paper presents an overview of the challenges and recent advances in the field of electrode design, neural-tissue illumination, and neural-probe implantation, with the goal of identifying a suitable candidate to be incorporated in a therapeutic approach for long-term treatment of epilepsy patients.
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Affiliation(s)
- Bram Vandekerckhove
- Center for Microsystems Technology, Imec and Ghent University, 9000 Ghent, Belgium; (B.V.); (J.M.); (P.B.); (R.V.)
| | - Jeroen Missinne
- Center for Microsystems Technology, Imec and Ghent University, 9000 Ghent, Belgium; (B.V.); (J.M.); (P.B.); (R.V.)
| | - Kristl Vonck
- 4Brain Team, Department of Head and Skin, Ghent University, 9000 Ghent, Belgium; (K.V.); (P.B.); (R.R.)
| | - Pieter Bauwens
- Center for Microsystems Technology, Imec and Ghent University, 9000 Ghent, Belgium; (B.V.); (J.M.); (P.B.); (R.V.)
| | - Rik Verplancke
- Center for Microsystems Technology, Imec and Ghent University, 9000 Ghent, Belgium; (B.V.); (J.M.); (P.B.); (R.V.)
| | - Paul Boon
- 4Brain Team, Department of Head and Skin, Ghent University, 9000 Ghent, Belgium; (K.V.); (P.B.); (R.R.)
| | - Robrecht Raedt
- 4Brain Team, Department of Head and Skin, Ghent University, 9000 Ghent, Belgium; (K.V.); (P.B.); (R.R.)
| | - Jan Vanfleteren
- Center for Microsystems Technology, Imec and Ghent University, 9000 Ghent, Belgium; (B.V.); (J.M.); (P.B.); (R.V.)
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Mechanisms and plasticity of chemogenically induced interneuronal suppression of principal cells. Proc Natl Acad Sci U S A 2020; 118:2014157118. [PMID: 33372130 DOI: 10.1073/pnas.2014157118] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
How do firing patterns in a cortical circuit change when inhibitory neurons are excited? We virally expressed an excitatory designer receptor exclusively activated by a designer drug (Gq-DREADD) in all inhibitory interneuron types of the CA1 region of the hippocampus in the rat. While clozapine N-oxide (CNO) activation of interneurons suppressed firing of pyramidal cells, unexpectedly the majority of interneurons also decreased their activity. CNO-induced inhibition decreased over repeated sessions, which we attribute to long-term synaptic plasticity between interneurons and pyramidal cells. Individual interneurons did not display sustained firing but instead transiently enhanced their activity, interleaved with suppression of others. The power of the local fields in the theta band was unaffected, while power at higher frequencies was attenuated, likely reflecting reduced pyramidal neuron spiking. The incidence of sharp wave ripples decreased but the surviving ripples were associated with stronger population firing compared with the control condition. These findings demonstrate that DREADD activation of interneurons brings about both short-term and long-term circuit reorganization, which should be taken into account in the interpretation of chemogenic effects on behavior.
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Jia Y, Guler U, Lai YP, Gong Y, Weber A, Li W, Ghovanloo M. A Trimodal Wireless Implantable Neural Interface System-on-Chip. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2020; 14:1207-1217. [PMID: 33180731 PMCID: PMC7814662 DOI: 10.1109/tbcas.2020.3037452] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
A wireless and battery-less trimodal neural interface system-on-chip (SoC), capable of 16-ch neural recording, 8-ch electrical stimulation, and 16-ch optical stimulation, all integrated on a 5 × 3 mm2 chip fabricated in 0.35-μm standard CMOS process. The trimodal SoC is designed to be inductively powered and communicated. The downlink data telemetry utilizes on-off keying pulse-position modulation (OOK-PPM) of the power carrier to deliver configuration and control commands at 50 kbps. The analog front-end (AFE) provides adjustable mid-band gain of 55-70 dB, low/high cut-off frequencies of 1-100 Hz/10 kHz, and input-referred noise of 3.46 μVrms within 1 Hz-50 kHz band. AFE outputs of every two-channel are digitized by a 50 kS/s 10-bit SAR-ADC, and multiplexed together to form a 6.78 Mbps data stream to be sent out by OOK modulating a 434 MHz RF carrier through a power amplifier (PA) and 6 cm monopole antenna, which form the uplink data telemetry. Optical stimulation has a switched-capacitor based stimulation (SCS) architecture, which can sequentially charge four storage capacitor banks up to 4 V and discharge them in selected μLEDs at instantaneous current levels of up to 24.8 mA on demand. Electrical stimulation is supported by four independently driven stimulating sites at 5-bit controllable current levels in ±(25-775) μA range, while active/passive charge balancing circuits ensure safety. In vivo testing was conducted on four anesthetized rats to verify the functionality of the trimodal SoC.
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Orguc S, Sands J, Sahasrabudhe A, Anikeeva P, Chandrakasan AP. Modular Optoelectronic System for Wireless, Programmable Neuromodulation During Free Behavior. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:4322-4325. [PMID: 33018952 DOI: 10.1109/embc44109.2020.9175600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
This work presents a modular, light-weight head-borne neuromodulation platform that achieves low-power wireless neuromodulation and allows real-time programmability of the stimulation parameters such as the frequency, duty cycle, and intensity. This platform is comprised of two parts: the main device and the optional intensity module. The main device is functional independently, however, the intensity control module can be introduced on demand. The stimulation is achieved through the use of energy-efficient µLEDs directly integrated in the custom-drawn fiber-based probes. Our platform can control up to 4 devices simultaneously and each device can control multiple LEDs in a given subject. Our hardware uses off-the-shelf components and has a plug and play structure, which allows for fast turn-over time and eliminates the need for complex surgeries. The rechargeable, battery-powered wireless platform uses Bluetooth Low Energy (BLE) and is capable of providing stable power and communication regardless of orientation. This presents a potential advantage over the battery-free, fully implantable systems that rely on wireless power transfer, which is typically direction-dependent, requires sophisticated implantation surgeries, and demands complex custom-built experimental apparatuses. Although the battery life is limited to several hours, this is sufficient to complete the majority of behavioral neuroscience experiments. Our platform consumes an average power of 0.5 mW, has a battery life of 12 hours.
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Kampasi K, Alameda J, Sahota S, Hernandez J, Patra S, Haque R. Design and microfabrication strategies for thin-film, flexible optical neural implant .. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:4314-4317. [PMID: 33018950 DOI: 10.1109/embc44109.2020.9175440] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Advanced polymer science and design technologies are constantly evolving to meet ever-growing expectations for flexible optical MEMS. In this work, we present design and microfabrication considerations for designed flexible Polymeric Opto-Electro-Mechanical Systems (POEMS). The presented methods integrate waveguide fabrication and laser diode (LD) chip assembly with Lawrence Livermore National Laboratory's (LLNL's) flexible thin-film technology to enable LLNL's first neural optoelectrode that can deliver guided light for neural activation. We support our findings with electrical and optical bench verification tests, present thermal simulation models to analyze heat dissipation of laser light sources on polymer substrates and discuss potential modifications for next generation prototypes. This fully integrated approach will allow spatial precision, scalability and more particularly, longer lifetime, needed to enable chronic studies of brain activities.
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In Vivo Optogenetic Modulation with Simultaneous Neural Detection Using Microelectrode Array Integrated with Optical Fiber. SENSORS 2020; 20:s20164526. [PMID: 32823521 PMCID: PMC7472634 DOI: 10.3390/s20164526] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 08/04/2020] [Accepted: 08/06/2020] [Indexed: 01/01/2023]
Abstract
The detection of neuroelectrophysiology while performing optogenetic modulation can provide more reliable and useful information for neural research. In this study, an optical fiber and a microelectrode array were integrated through hot-melt adhesive bonding, which combined optogenetics and electrophysiological detection technology to achieve neuromodulation and neuronal activity recording. We carried out the experiments on the activation and electrophysiological detection of infected neurons at the depth range of 900-1250 μm in the brain which covers hippocampal CA1 and a part of the upper cortical area, analyzed a possible local inhibition circuit by combining opotogenetic modulation and electrophysiological characteristics and explored the effects of different optical patterns and light powers on the neuromodulation. It was found that optogenetics, combined with neural recording technology, could provide more information and ideas for neural circuit recognition. In this study, the optical stimulation with low frequency and large duty cycle induces more intense neuronal activity and larger light power induced more action potentials of neurons within a certain power range (1.032 mW-1.584 mW). The present study provided an efficient method for the detection and modulation of neurons in vivo and an effective tool to study neural circuit in the brain.
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Wang L, Ge C, Wang M, Ji B, Guo Z, Wang X, Yang B, Li C, Liu J. An artefact-resist optrode with internal shielding structure for low-noise neural modulation. J Neural Eng 2020; 17:046024. [PMID: 32640443 DOI: 10.1088/1741-2552/aba41f] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVE The combination of optical manipulation of neural activities with electrophysiology recording is a promising technology for discovering mechanisms of brain disorders and mapping brain networks. However, fiber-based optrode is limited by the large size of light source and the winding of optical fiber, which hinders animal's natural movement. Meanwhile, the laser diode (LD)-based optrode restricted to the stimulation-locked artefacts will contaminate neural signal acquired from recording channels. APPROACH Here, a reformative low-noise optrode with internal grounded shielding layer is proposed to mitigate the stimulus-locked artefacts generated during LDactivation for the application of optogenetics. MAIN RESULTS The artefact mitigation capacity of grounded shielding was verified via simulation and experiments with transient amplitude of artefacts declined from over 5 mV to approximately 200 µV in-vitro. Meanwhile, the stimulation parameters were used based on previous studies by which neurons were activated without over heating the tissue as characterized by in-vitro studies (the output optical intensity is 823 ± 38 mW mm-2). Furthermore, the microelectrodes were modified with Poly (3, 4-ethylenedioxythiophene)-poly (styrenesulfonate) (PEDOT: PSS) to increase the signal recording quality of the optrode. Finally, in-vivo optogenetics experiments were carried in the hippocampus of one mouse and the results showed our low-noise optrode was qualified to achieve high-quality neural recording (signal-to-noise ratio about 13) and specific neuron stimulation simultaneously. SIGNIFICANCE These results suggest the low-noise optrodes exhibit the ability of manipulating and recording neural dynamics and they are excellent candidates for neuroscience research.
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Affiliation(s)
- Longchun Wang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication Laboratory, Key Laboratory for Thin Film and Micro fabrication of the Ministry of Education, Collaborative Innovation Center of IFSA, Department of Micro/Nano-electronics, Shanghai Jiao Tong University, Shanghai, People's Republic of China
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