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Atlan G, Matosevich N, Peretz-Rivlin N, Marsh-Yvgi I, Zelinger N, Chen E, Kleinman T, Bleistein N, Sheinbach E, Groysman M, Nir Y, Citri A. Claustrum neurons projecting to the anterior cingulate restrict engagement during sleep and behavior. Nat Commun 2024; 15:5415. [PMID: 38926345 PMCID: PMC11208603 DOI: 10.1038/s41467-024-48829-6] [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: 10/08/2022] [Accepted: 05/14/2024] [Indexed: 06/28/2024] Open
Abstract
The claustrum has been linked to attention and sleep. We hypothesized that this reflects a shared function, determining responsiveness to stimuli, which spans the axis of engagement. To test this hypothesis, we recorded claustrum population dynamics from male mice during both sleep and an attentional task ('ENGAGE'). Heightened activity in claustrum neurons projecting to the anterior cingulate cortex (ACCp) corresponded to reduced sensory responsiveness during sleep. Similarly, in the ENGAGE task, heightened ACCp activity correlated with disengagement and behavioral lapses, while low ACCp activity correlated with hyper-engagement and impulsive errors. Chemogenetic elevation of ACCp activity reduced both awakenings during sleep and impulsive errors in the ENGAGE task. Furthermore, mice employing an exploration strategy in the task showed a stronger correlation between ACCp activity and performance compared to mice employing an exploitation strategy which reduced task complexity. Our results implicate ACCp claustrum neurons in restricting engagement during sleep and goal-directed behavior.
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Affiliation(s)
- Gal Atlan
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Noa Matosevich
- Department of Physiology & Pharmacology, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Noa Peretz-Rivlin
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Idit Marsh-Yvgi
- The Alexander Silberman Institute of Life Science, Faculty of Science, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Noam Zelinger
- Department of Physiology & Pharmacology, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Eden Chen
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Timna Kleinman
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Noa Bleistein
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
- The Alexander Silberman Institute of Life Science, Faculty of Science, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Efrat Sheinbach
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
- The Alexander Silberman Institute of Life Science, Faculty of Science, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Maya Groysman
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel
| | - Yuval Nir
- Department of Physiology & Pharmacology, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
- The Sieratzki-Sagol Center for Sleep Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Ami Citri
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel.
- The Alexander Silberman Institute of Life Science, Faculty of Science, The Hebrew University of Jerusalem; Edmond J. Safra Campus, Givat Ram, Jerusalem, Israel.
- Program in Child and Brain Development, Canadian Institute for Advanced Research; MaRS Centre, Toronto, ON, Canada.
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2
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Stewart BW, Keaser ML, Lee H, Margerison SM, Cormie MA, Moayedi M, Lindquist MA, Chen S, Mathur BN, Seminowicz DA. Pathological claustrum activity drives aberrant cognitive network processing in human chronic pain. Curr Biol 2024; 34:1953-1966.e6. [PMID: 38614082 DOI: 10.1016/j.cub.2024.03.021] [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: 01/17/2024] [Revised: 02/08/2024] [Accepted: 03/13/2024] [Indexed: 04/15/2024]
Abstract
Aberrant cognitive network activity and cognitive deficits are established features of chronic pain. However, the nature of cognitive network alterations associated with chronic pain and their underlying mechanisms require elucidation. Here, we report that the claustrum, a subcortical nucleus implicated in cognitive network modulation, is activated by acute painful stimulation and pain-predictive cues in healthy participants. Moreover, we discover pathological activity of the claustrum and a region near the posterior inferior frontal sulcus of the right dorsolateral prefrontal cortex (piDLPFC) in migraine patients during acute pain and cognitive task performance. Dynamic causal modeling suggests a directional influence of the claustrum on activity in this piDLPFC region, and diffusion weighted imaging verifies their structural connectivity. These findings advance understanding of claustrum function during acute pain and provide evidence of a possible circuit mechanism driving cognitive impairments in chronic pain.
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Affiliation(s)
- Brent W Stewart
- Department of Neural and Pain Sciences, University of Maryland School of Dentistry, W Baltimore Street, Baltimore, MD 21201, USA
| | - Michael L Keaser
- Department of Neural and Pain Sciences, University of Maryland School of Dentistry, W Baltimore Street, Baltimore, MD 21201, USA
| | - Hwiyoung Lee
- Department of Epidemiology & Public Health, Maryland Psychiatric Research Center, Wade Avenue, Catonsville, MD 21228, USA
| | - Sarah M Margerison
- Department of Neural and Pain Sciences, University of Maryland School of Dentistry, W Baltimore Street, Baltimore, MD 21201, USA; Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Penn Street, Baltimore, MD 21201, USA
| | - Matthew A Cormie
- Centre for Multimodal Sensorimotor and Pain Research, Faculty of Dentistry, University of Toronto, Edward Street, Toronto, ON M5G 1E2, Canada
| | - Massieh Moayedi
- Centre for Multimodal Sensorimotor and Pain Research, Faculty of Dentistry, University of Toronto, Edward Street, Toronto, ON M5G 1E2, Canada; Department of Dentistry, Mount Sinai Hospital, University Avenue, Toronto, ON M5G 1X5, Canada; Division of Clinical & Computational Neuroscience, Krembil Brain Institute, University Health Network, Nassau Street, Toronto, ON M5T 1M8, Canada
| | - Martin A Lindquist
- Department of Biostatistics, Johns Hopkins University, N Wolfe Street, Baltimore, MD 21205, USA
| | - Shuo Chen
- Department of Epidemiology & Public Health, Maryland Psychiatric Research Center, Wade Avenue, Catonsville, MD 21228, USA
| | - Brian N Mathur
- Department of Pharmacology, University of Maryland School of Medicine, W Baltimore Street, Baltimore, MD 21201, USA; Department of Psychiatry, University of Maryland School of Medicine, W Baltimore Street, Baltimore, MD 21201, USA.
| | - David A Seminowicz
- Department of Neural and Pain Sciences, University of Maryland School of Dentistry, W Baltimore Street, Baltimore, MD 21201, USA; Department of Medical Biophysics, Schulich School of Medicine & Dentistry, University of Western Ontario, Richmond Street, London, ON N6A 5C1, Canada.
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Chen FD, Sharma A, Roszko DA, Xue T, Mu X, Luo X, Chua H, Lo PGQ, Sacher WD, Poon JKS. Development of wafer-scale multifunctional nanophotonic neural probes for brain activity mapping. LAB ON A CHIP 2024; 24:2397-2417. [PMID: 38623840 DOI: 10.1039/d3lc00931a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
Optical techniques, such as optogenetic stimulation and functional fluorescence imaging, have been revolutionary for neuroscience by enabling neural circuit analysis with cell-type specificity. To probe deep brain regions, implantable light sources are crucial. Silicon photonics, commonly used for data communications, shows great promise in creating implantable devices with complex optical systems in a compact form factor compatible with high volume manufacturing practices. This article reviews recent developments of wafer-scale multifunctional nanophotonic neural probes. The probes can be realized on 200 or 300 mm wafers in commercial foundries and integrate light emitters for photostimulation, microelectrodes for electrophysiological recording, and microfluidic channels for chemical delivery and sampling. By integrating active optical devices to the probes, denser emitter arrays, enhanced on-chip biosensing, and increased ease of use may be realized. Silicon photonics technology makes possible highly versatile implantable neural probes that can transform neuroscience experiments.
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Affiliation(s)
- Fu Der Chen
- Max Planck Institute of Microstructure Physics, Weinberg 2, 06120 Halle, Germany.
- Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Ontario M5S 3G4, Canada
| | - Ankita Sharma
- Max Planck Institute of Microstructure Physics, Weinberg 2, 06120 Halle, Germany.
- Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Ontario M5S 3G4, Canada
| | - David A Roszko
- Max Planck Institute of Microstructure Physics, Weinberg 2, 06120 Halle, Germany.
- Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Ontario M5S 3G4, Canada
| | - Tianyuan Xue
- Max Planck Institute of Microstructure Physics, Weinberg 2, 06120 Halle, Germany.
- Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Ontario M5S 3G4, Canada
| | - Xin Mu
- Max Planck Institute of Microstructure Physics, Weinberg 2, 06120 Halle, Germany.
- Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Ontario M5S 3G4, Canada
| | - Xianshu Luo
- Advanced Micro Foundry Pte Ltd, 11 Science Park Road, Singapore Science Park II, 117685, Singapore
| | - Hongyao Chua
- Advanced Micro Foundry Pte Ltd, 11 Science Park Road, Singapore Science Park II, 117685, Singapore
| | - Patrick Guo-Qiang Lo
- Advanced Micro Foundry Pte Ltd, 11 Science Park Road, Singapore Science Park II, 117685, Singapore
| | - Wesley D Sacher
- Max Planck Institute of Microstructure Physics, Weinberg 2, 06120 Halle, Germany.
| | - Joyce K S Poon
- Max Planck Institute of Microstructure Physics, Weinberg 2, 06120 Halle, Germany.
- Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Ontario M5S 3G4, Canada
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Marriott BA, Do AD, Portet C, Thellier F, Goutagny R, Jackson J. Brain-state-dependent constraints on claustrocortical communication and function. Cell Rep 2024; 43:113620. [PMID: 38159273 DOI: 10.1016/j.celrep.2023.113620] [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: 07/28/2023] [Revised: 11/20/2023] [Accepted: 12/11/2023] [Indexed: 01/03/2024] Open
Abstract
Neural activity in the claustrum has been associated with a range of vigilance states, yet the activity patterns and efficacy of synaptic communication of identified claustrum neurons have not been thoroughly determined. Here, we show that claustrum neurons projecting to the retrosplenial cortex are most active during synchronized cortical states such as non-rapid eye movement (NREM) sleep and are suppressed during increased cortical desynchronization associated with arousal, movement, and REM sleep. The efficacy of claustrocortical signaling is increased during NREM and diminished during movement due in part to increased cholinergic tone. Finally, claustrum activation during NREM sleep enhances memory consolidation through the phase resetting of cortical delta waves. Therefore, claustrocortical communication is constrained to function most effectively during cognitive processes associated with synchronized cortical states, such as memory consolidation.
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Affiliation(s)
- Brian A Marriott
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB T6G2H7, Canada
| | - Alison D Do
- Department of Physiology, University of Alberta, Edmonton, AB T6G2H7, Canada
| | - Coline Portet
- University of Strasbourg, Strasbourg, France; Laboratoire de Neurosciences Cognitives et Adaptatives, CNRS UMR7364, Strasbourg, France
| | - Flora Thellier
- University of Strasbourg, Strasbourg, France; Laboratoire de Neurosciences Cognitives et Adaptatives, CNRS UMR7364, Strasbourg, France
| | - Romain Goutagny
- University of Strasbourg, Strasbourg, France; Laboratoire de Neurosciences Cognitives et Adaptatives, CNRS UMR7364, Strasbourg, France.
| | - Jesse Jackson
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB T6G2H7, Canada; Department of Physiology, University of Alberta, Edmonton, AB T6G2H7, Canada.
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Suzuki M, Pennartz CMA, Aru J. How deep is the brain? The shallow brain hypothesis. Nat Rev Neurosci 2023; 24:778-791. [PMID: 37891398 DOI: 10.1038/s41583-023-00756-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/25/2023] [Indexed: 10/29/2023]
Abstract
Deep learning and predictive coding architectures commonly assume that inference in neural networks is hierarchical. However, largely neglected in deep learning and predictive coding architectures is the neurobiological evidence that all hierarchical cortical areas, higher or lower, project to and receive signals directly from subcortical areas. Given these neuroanatomical facts, today's dominance of cortico-centric, hierarchical architectures in deep learning and predictive coding networks is highly questionable; such architectures are likely to be missing essential computational principles the brain uses. In this Perspective, we present the shallow brain hypothesis: hierarchical cortical processing is integrated with a massively parallel process to which subcortical areas substantially contribute. This shallow architecture exploits the computational capacity of cortical microcircuits and thalamo-cortical loops that are not included in typical hierarchical deep learning and predictive coding networks. We argue that the shallow brain architecture provides several critical benefits over deep hierarchical structures and a more complete depiction of how mammalian brains achieve fast and flexible computational capabilities.
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Affiliation(s)
- Mototaka Suzuki
- Department of Cognitive and Systems Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
| | - Cyriel M A Pennartz
- Department of Cognitive and Systems Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Jaan Aru
- Institute of Computer Science, University of Tartu, Tartu, Estonia.
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Kou ZQ, Chen CY, Abdurahman M, Weng XC, Hu C, Geng HY. The Claustrum Controls Motor Activity Through Anterior Cingulate Cortex Input and Local Circuit Synchronization in a Preparatory Manner. Neurosci Bull 2023; 39:1591-1594. [PMID: 37310577 PMCID: PMC10533431 DOI: 10.1007/s12264-023-01079-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/19/2023] [Indexed: 06/14/2023] Open
Affiliation(s)
- Zi-Qi Kou
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, South China Normal University, Guangzhou, 510631, China
- Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Chun-Yan Chen
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, South China Normal University, Guangzhou, 510631, China
- Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Mamatsali Abdurahman
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, South China Normal University, Guangzhou, 510631, China
- Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Xu-Chu Weng
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, South China Normal University, Guangzhou, 510631, China
- Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Chun Hu
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, South China Normal University, Guangzhou, 510631, China
- Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China
| | - Hong-Yan Geng
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, South China Normal University, Guangzhou, 510631, China.
- Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, 510631, China.
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7
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Claar LD, Rembado I, Kuyat JR, Russo S, Marks LC, Olsen SR, Koch C. Cortico-thalamo-cortical interactions modulate electrically evoked EEG responses in mice. eLife 2023; 12:RP84630. [PMID: 37358562 DOI: 10.7554/elife.84630] [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: 06/27/2023] Open
Abstract
Perturbational complexity analysis predicts the presence of consciousness in volunteers and patients by stimulating the brain with brief pulses, recording EEG responses, and computing their spatiotemporal complexity. We examined the underlying neural circuits in mice by directly stimulating cortex while recording with EEG and Neuropixels probes during wakefulness and isoflurane anesthesia. When mice are awake, stimulation of deep cortical layers reliably evokes locally a brief pulse of excitation, followed by a biphasic sequence of 120 ms profound off period and a rebound excitation. A similar pattern, partially attributed to burst spiking, is seen in thalamic nuclei and is associated with a pronounced late component in the evoked EEG. We infer that cortico-thalamo-cortical interactions drive the long-lasting evoked EEG signals elicited by deep cortical stimulation during the awake state. The cortical and thalamic off period and rebound excitation, and the late component in the EEG, are reduced during running and absent during anesthesia.
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Affiliation(s)
- Leslie D Claar
- MindScope Program, Allen Institute, Seattle, United States
| | - Irene Rembado
- MindScope Program, Allen Institute, Seattle, United States
| | | | - Simone Russo
- MindScope Program, Allen Institute, Seattle, United States
- Department of Biomedical and Clinical Sciences "L. Sacco", University of Milan, Milan, Italy
| | - Lydia C Marks
- MindScope Program, Allen Institute, Seattle, United States
| | - Shawn R Olsen
- MindScope Program, Allen Institute, Seattle, United States
| | - Christof Koch
- MindScope Program, Allen Institute, Seattle, United States
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Wang Q, Wang Y, Kuo HC, Xie P, Kuang X, Hirokawa KE, Naeemi M, Yao S, Mallory M, Ouellette B, Lesnar P, Li Y, Ye M, Chen C, Xiong W, Ahmadinia L, El-Hifnawi L, Cetin A, Sorensen SA, Harris JA, Zeng H, Koch C. Regional and cell-type-specific afferent and efferent projections of the mouse claustrum. Cell Rep 2023; 42:112118. [PMID: 36774552 PMCID: PMC10415534 DOI: 10.1016/j.celrep.2023.112118] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 12/17/2022] [Accepted: 01/30/2023] [Indexed: 02/13/2023] Open
Abstract
The claustrum (CLA) is a conspicuous subcortical structure interconnected with cortical and subcortical regions. Its regional anatomy and cell-type-specific connections in the mouse remain not fully determined. Using multimodal reference datasets, we confirmed the delineation of the mouse CLA as a single group of neurons embedded in the agranular insular cortex. We quantitatively investigated brain-wide inputs and outputs of CLA using bulk anterograde and retrograde viral tracing data and single neuron tracing data. We found that the prefrontal module has more cell types projecting to the CLA than other cortical modules, with layer 5 IT neurons predominating. We found nine morphological types of CLA principal neurons that topographically innervate functionally linked cortical targets, preferentially the midline cortical areas, secondary motor area, and entorhinal area. Together, this study provides a detailed wiring diagram of the cell-type-specific connections of the mouse CLA, laying a foundation for studying its functions at the cellular level.
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Affiliation(s)
- Quanxin Wang
- Allen Institute for Brain Science, Seattle, WA 98109, USA.
| | - Yun Wang
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Hsien-Chi Kuo
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Peng Xie
- Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu, China
| | - Xiuli Kuang
- School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | | | - Maitham Naeemi
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Shenqin Yao
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Matt Mallory
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Ben Ouellette
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Phil Lesnar
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Yaoyao Li
- School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Min Ye
- School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Chao Chen
- School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | - Wei Xiong
- School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
| | | | | | - Ali Cetin
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Julie A Harris
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Christof Koch
- Allen Institute for Brain Science, Seattle, WA 98109, USA.
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