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Qi Z, Xiong H, Zhuo J, Cao D, Liu H, Shi W, Lang Y, Liu Y, Zhang G, Jiang T. Intracranial EEGs evidenced visual object processing in the human medial temporal lobe subregions. Neuroscience 2024; 555:205-212. [PMID: 39053670 DOI: 10.1016/j.neuroscience.2024.07.030] [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: 12/30/2023] [Revised: 07/10/2024] [Accepted: 07/18/2024] [Indexed: 07/27/2024]
Abstract
The perirhinal cortex (PRC) and parahippocampal cortex (PHC) are core regions along the visual dual-stream. The specific functional roles of the PRC and PHC and their interactions with the downstream hippocampus cortex (HPC) are crucial for understanding visual memory. Our research used human intracranial EEGs to study the neural mechanism of the PRC, PHC, and HPC in visual object encoding. Single-regional function analyses found evidence that the PRC, PHC, and HPC are activated ∼100 ms within the broad-gamma band and that the PRC was more strongly activated than either the PHC or the HPC after an object stimulus. Inter-regional analyses showed strong bidirectional interactions of the PRC with both the PHC and HPC in the low-frequency band, whereas the interactions between the PHC and HPC were not significant. These findings demonstrated the core role of the PRC in encoding visual object information and supported the hypothesis of PRC-HPC-ventral object pathway. The recruitment of the PHC and its interaction with the PRC in visual object encoding also provide new insights beyond the traditional dorsal-stream hypothesis.
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Affiliation(s)
- Zihui Qi
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hui Xiong
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Junjie Zhuo
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Hainan 570228, China
| | - Dan Cao
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Hao Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weiyang Shi
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Yongcui Lang
- Department of Neurosurgery, Epilepsy Center, Aviation General Hospital, No. 3 Beiyuan Road, Chaoyang District, Beijing 100012, China
| | - Yaoling Liu
- Department of Neurosurgery, Epilepsy Center, Aviation General Hospital, No. 3 Beiyuan Road, Chaoyang District, Beijing 100012, China
| | - Guangming Zhang
- Department of Neurosurgery, Epilepsy Center, Aviation General Hospital, No. 3 Beiyuan Road, Chaoyang District, Beijing 100012, China.
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; Xiaoxiang Institute for Brain Health and Yongzhou Central Hospital, Yongzhou 425000, Hunan Province, China.
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2
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Miyashita Y. Cortical Layer-Dependent Signaling in Cognition: Three Computational Modes of the Canonical Circuit. Annu Rev Neurosci 2024; 47:211-234. [PMID: 39115926 DOI: 10.1146/annurev-neuro-081623-091311] [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] [Indexed: 08/10/2024]
Abstract
The cerebral cortex performs computations via numerous six-layer modules. The operational dynamics of these modules were studied primarily in early sensory cortices using bottom-up computation for response selectivity as a model, which has been recently revolutionized by genetic approaches in mice. However, cognitive processes such as recall and imagery require top-down generative computation. The question of whether the layered module operates similarly in top-down generative processing as in bottom-up sensory processing has become testable by advances in the layer identification of recorded neurons in behaving monkeys. This review examines recent advances in laminar signaling in these two computations, using predictive coding computation as a common reference, and shows that each of these computations recruits distinct laminar circuits, particularly in layer 5, depending on the cognitive demands. These findings highlight many open questions, including how different interareal feedback pathways, originating from and terminating at different layers, convey distinct functional signals.
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Affiliation(s)
- Yasushi Miyashita
- Department of Physiology, The University of Tokyo School of Medicine, Tokyo, Japan;
- Juntendo University Graduate School of Medicine, Tokyo, Japan
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3
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Hirabayashi T, Nagai Y, Hori Y, Hori Y, Oyama K, Mimura K, Miyakawa N, Iwaoki H, Inoue KI, Suhara T, Takada M, Higuchi M, Minamimoto T. Multiscale chemogenetic dissection of fronto-temporal top-down regulation for object memory in primates. Nat Commun 2024; 15:5369. [PMID: 38987235 PMCID: PMC11237144 DOI: 10.1038/s41467-024-49570-w] [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: 11/17/2023] [Accepted: 06/07/2024] [Indexed: 07/12/2024] Open
Abstract
Visual object memory is a fundamental element of various cognitive abilities, and the underlying neural mechanisms have been extensively examined especially in the anterior temporal cortex of primates. However, both macroscopic large-scale functional network in which this region is embedded and microscopic neuron-level dynamics of top-down regulation it receives for object memory remains elusive. Here, we identified the orbitofrontal node as a critical partner of the anterior temporal node for object memory by combining whole-brain functional imaging during rest and a short-term object memory task in male macaques. Focal chemogenetic silencing of the identified orbitofrontal node downregulated both the local orbitofrontal and remote anterior temporal nodes during the task, in association with deteriorated mnemonic, but not perceptual, performance. Furthermore, imaging-guided neuronal recordings in the same monkeys during the same task causally revealed that orbitofrontal top-down modulation enhanced stimulus-selective mnemonic signal in individual anterior temporal neurons while leaving bottom-up perceptual signal unchanged. Furthermore, similar activity difference was also observed between correct and mnemonic error trials before silencing, suggesting its behavioral relevance. These multifaceted but convergent results provide a multiscale causal understanding of dynamic top-down regulation of the anterior temporal cortex along the ventral fronto-temporal network underpinning short-term object memory in primates.
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Affiliation(s)
- Toshiyuki Hirabayashi
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan.
| | - Yuji Nagai
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Yuki Hori
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Yukiko Hori
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Kei Oyama
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Koki Mimura
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Naohisa Miyakawa
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Haruhiko Iwaoki
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Ken-Ichi Inoue
- Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Tetsuya Suhara
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Masahiko Takada
- Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Makoto Higuchi
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Takafumi Minamimoto
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
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4
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López-Aranda MF, Bach K, Bui R, Phan M, Lu O, Thadani C, Luchetti A, Mandanas R, Herrera I, López-Ávalos MD, Silva AJ. Early Post-Natal Immune Activation Leads to Object Memory Deficits in Female Tsc2+/- Mice: The Importance of Including Both Sexes in Neuroscience Research. Biomedicines 2024; 12:203. [PMID: 38255309 PMCID: PMC10813674 DOI: 10.3390/biomedicines12010203] [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: 11/11/2023] [Revised: 12/19/2023] [Accepted: 12/22/2023] [Indexed: 01/24/2024] Open
Abstract
There is evidence that viral infections during pre-natal development constitute a risk factor for neuropsychiatric disorders and lead to learning and memory deficits. However, little is known about why viral infections during early post-natal development have a different impact on learning and memory depending on the sex of the subject. We previously showed that early post-natal immune activation induces hippocampal-dependent social memory deficits in a male, but not in a female, mouse model of tuberous sclerosis complex (TSC; Tsc2+/- mice). Here, we explored the impact of a viral-like immune challenge in object memory. We demonstrate that early post-natal immune activation (during the first 2 weeks of life) leads to object memory deficits in female, but not male, mice that are heterozygous for a gene responsible for tuberous sclerosis complex (Tsc2+/- mice), while no effect was observed in wild type (WT) mice. Moreover, we found that the same immune activation in Tsc2+/- adult mice was not able to cause object memory deficits in females, which suggests that the early post-natal development stage constitutes a critical window for the effects of immune challenge on adult memory. Also, our results suggest that mTOR plays a critical role in the observed deficit in object memory in female Tsc2+/- mice. These results, together with previous results published by our laboratory, showing sex-specific memory deficits due to early post-natal immune activation, reinforce the necessity of using both males and females for research studies. This is especially true for studies related to immune activation, since the higher levels of estrogens in females are known to affect inflammation and to provide neuroprotection.
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Affiliation(s)
- Manuel F. López-Aranda
- Departamento de Biología Celular, Genética y Fisiología, Facultad de Ciencias, Universidad de Málaga, 29010 Málaga, Spain
- Departments of Neurobiology, Psychology, Psychiatry, Integrative Center for Learning and Memory and Brain Research Institute, University of California Los Angeles, Los Angeles, CA 90095, USA (A.J.S.)
- Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, 29590 Málaga, Spain
| | - Karen Bach
- Departments of Neurobiology, Psychology, Psychiatry, Integrative Center for Learning and Memory and Brain Research Institute, University of California Los Angeles, Los Angeles, CA 90095, USA (A.J.S.)
| | - Raymond Bui
- Departments of Neurobiology, Psychology, Psychiatry, Integrative Center for Learning and Memory and Brain Research Institute, University of California Los Angeles, Los Angeles, CA 90095, USA (A.J.S.)
| | - Miranda Phan
- Departments of Neurobiology, Psychology, Psychiatry, Integrative Center for Learning and Memory and Brain Research Institute, University of California Los Angeles, Los Angeles, CA 90095, USA (A.J.S.)
| | - Odilia Lu
- Departments of Neurobiology, Psychology, Psychiatry, Integrative Center for Learning and Memory and Brain Research Institute, University of California Los Angeles, Los Angeles, CA 90095, USA (A.J.S.)
| | - Chirag Thadani
- Departments of Neurobiology, Psychology, Psychiatry, Integrative Center for Learning and Memory and Brain Research Institute, University of California Los Angeles, Los Angeles, CA 90095, USA (A.J.S.)
| | - Alessandro Luchetti
- Departments of Neurobiology, Psychology, Psychiatry, Integrative Center for Learning and Memory and Brain Research Institute, University of California Los Angeles, Los Angeles, CA 90095, USA (A.J.S.)
| | - Rochelle Mandanas
- Departments of Neurobiology, Psychology, Psychiatry, Integrative Center for Learning and Memory and Brain Research Institute, University of California Los Angeles, Los Angeles, CA 90095, USA (A.J.S.)
| | - Isaiah Herrera
- Departments of Neurobiology, Psychology, Psychiatry, Integrative Center for Learning and Memory and Brain Research Institute, University of California Los Angeles, Los Angeles, CA 90095, USA (A.J.S.)
| | - María Dolores López-Ávalos
- Departamento de Biología Celular, Genética y Fisiología, Facultad de Ciencias, Universidad de Málaga, 29010 Málaga, Spain
- Instituto de Investigación Biomédica de Málaga (IBIMA)-Plataforma BIONAND, 29590 Málaga, Spain
| | - Alcino J. Silva
- Departments of Neurobiology, Psychology, Psychiatry, Integrative Center for Learning and Memory and Brain Research Institute, University of California Los Angeles, Los Angeles, CA 90095, USA (A.J.S.)
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MINAMIMOTO T, NAGAI Y, OYAMA K. Imaging-based chemogenetics for dissecting neural circuits in nonhuman primates. PROCEEDINGS OF THE JAPAN ACADEMY. SERIES B, PHYSICAL AND BIOLOGICAL SCIENCES 2024; 100:476-489. [PMID: 39401901 PMCID: PMC11535006 DOI: 10.2183/pjab.100.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Accepted: 08/19/2024] [Indexed: 11/08/2024]
Abstract
Nonhuman primates, particularly macaque and marmoset monkeys, serve as invaluable models for studying complex brain functions and behavior. However, the lack of suitable genetic neuromodulation tools has constrained research at the network level. This review examines the application of a chemogenetic technology, specifically, designer receptors exclusively activated by designer drugs (DREADDs), to nonhuman primates. DREADDs offer a means of reversibly controlling neuronal activity within a specific cell type or neural pathway, effectively targeting multiple brain regions simultaneously. The combination of DREADDs with imaging techniques, such as positron emission tomography and magnetic resonance imaging, has significantly enhanced nonhuman primate research, facilitating the precise visualization and manipulation of specific brain circuits and enabling the detailed monitoring of changes in network activity, which can then be correlated with altered behavior. This review outlines these technological advances and considers their potential for enhancing our understanding of primate brain circuit function and developing novel therapeutic approaches for treating brain diseases.
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Affiliation(s)
- Takafumi MINAMIMOTO
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yuji NAGAI
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Kei OYAMA
- Advanced Neuroimaging Center, National Institutes for Quantum Science and Technology, Chiba, Japan
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Kimura K, Nagai Y, Hatanaka G, Fang Y, Tanabe S, Zheng A, Fujiwara M, Nakano M, Hori Y, Takeuchi RF, Inagaki M, Minamimoto T, Fujita I, Inoue KI, Takada M. A mosaic adeno-associated virus vector as a versatile tool that exhibits high levels of transgene expression and neuron specificity in primate brain. Nat Commun 2023; 14:4762. [PMID: 37553329 PMCID: PMC10409865 DOI: 10.1038/s41467-023-40436-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 07/27/2023] [Indexed: 08/10/2023] Open
Abstract
Recent emphasis has been placed on gene transduction mediated through recombinant adeno-associated virus (AAV) vector to manipulate activity of neurons and their circuitry in the primate brain. In the present study, we created a novel vector of which capsid was composed of capsid proteins derived from both of the AAV serotypes 1 and 2 (AAV1 and AAV2). Following the injection into the frontal cortex of macaque monkeys, this mosaic vector, termed AAV2.1 vector, was found to exhibit the excellence in transgene expression (for AAV1 vector) and neuron specificity (for AAV2 vector) simultaneously. To explore its applicability to chemogenetic manipulation and in vivo calcium imaging, the AAV2.1 vector expressing excitatory DREADDs or GCaMP was injected into the striatum or the visual cortex of macaque monkeys, respectively. Our results have defined that such vectors secure intense and stable expression of the target proteins and yield conspicuous modulation and imaging of neuronal activity.
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Affiliation(s)
- Kei Kimura
- Systems Neuroscience Section, Department of Neuroscience, Primate Research Institute, and Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Yuji Nagai
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Gaku Hatanaka
- Laboratory for Cognitive Neuroscience, Graduate School of Frontier Biosciences, Osaka University, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Center for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka University, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Yang Fang
- Laboratory for Cognitive Neuroscience, Graduate School of Frontier Biosciences, Osaka University, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Center for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka University, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Soshi Tanabe
- Systems Neuroscience Section, Department of Neuroscience, Primate Research Institute, and Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Andi Zheng
- Systems Neuroscience Section, Department of Neuroscience, Primate Research Institute, and Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Maki Fujiwara
- Systems Neuroscience Section, Department of Neuroscience, Primate Research Institute, and Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Mayuko Nakano
- Systems Neuroscience Section, Department of Neuroscience, Primate Research Institute, and Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Yukiko Hori
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Ryosuke F Takeuchi
- Laboratory for Cognitive Neuroscience, Graduate School of Frontier Biosciences, Osaka University, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Center for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka University, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Mikio Inagaki
- Laboratory for Cognitive Neuroscience, Graduate School of Frontier Biosciences, Osaka University, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Center for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka University, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Takafumi Minamimoto
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, 263-8555, Japan
| | - Ichiro Fujita
- Laboratory for Cognitive Neuroscience, Graduate School of Frontier Biosciences, Osaka University, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Center for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka University, 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Ken-Ichi Inoue
- Systems Neuroscience Section, Department of Neuroscience, Primate Research Institute, and Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan.
- PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, 332-0012, Japan.
| | - Masahiko Takada
- Systems Neuroscience Section, Department of Neuroscience, Primate Research Institute, and Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan.
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7
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Yang C, Naya Y. Sequential involvements of the perirhinal cortex and hippocampus in the recall of item-location associative memory in macaques. PLoS Biol 2023; 21:e3002145. [PMID: 37289802 DOI: 10.1371/journal.pbio.3002145] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 05/03/2023] [Indexed: 06/10/2023] Open
Abstract
The standard consolidation theory suggests that the hippocampus (HPC) is critically involved in acquiring new memory, while storage and recall gradually become independent of it. Converging studies have shown separate involvements of the perirhinal cortex (PRC) and parahippocampal cortex (PHC) in item and spatial processes, whereas HPC relates the item to a spatial context. These 2 strands of literature raise the following question; which brain region is involved in the recall process of item-location associative memory? To solve this question, this study applied an item-location associative (ILA) paradigm in a single-unit study of nonhuman primates. We trained 2 macaques to associate 4 visual item pairs with 4 locations on a background map in an allocentric manner before the recording sessions. In each trial, 1 visual item and the map image at a tilt (-90° to 90°) were sequentially presented as the item-cue and the context-cue, respectively. The macaques chose the item-cue location relative to the context-cue by positioning their gaze. Neurons in the PRC, PHC, and HPC, but not area TE, exhibited item-cue responses which signaled retrieval of item-location associative memory. This retrieval signal first appeared in the PRC, followed by the HPC and PHC. We examined whether neural representations of the retrieved locations were related to the external space that the macaques viewed. A positive representation similarity was found in the HPC and PHC, but not in the PRC, thus suggesting a contribution of the HPC to relate the retrieved location from the PRC with a first-person perspective of the subjects and provide the self-referenced retrieved location to the PHC. These results imply distinct but complementary contributions of the PRC and HPC to recall of item-location associative memory that can be used across multiple spatial contexts.
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Affiliation(s)
- Cen Yang
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
- Center for Life Sciences, Peking University, Beijing, China
| | - Yuji Naya
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
- Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
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8
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Merlin S, Vidyasagar T. Optogenetics in primate cortical networks. Front Neuroanat 2023; 17:1193949. [PMID: 37284061 PMCID: PMC10239886 DOI: 10.3389/fnana.2023.1193949] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 05/08/2023] [Indexed: 06/08/2023] Open
Abstract
The implementation of optogenetics in studies on non-human primates has generally proven quite difficult, but recent successes have paved the way for its rapid increase. Limitations in the genetic tractability in primates, have been somewhat overcome by implementing tailored vectors and promoters to maximize expression and specificity in primates. More recently, implantable devices, including microLED arrays, have made it possible to deliver light deeper into brain tissue, allowing targeting of deeper structures. However, the greatest limitation in applying optogenetics to the primate brain is the complex connections that exist within many neural circuits. In the past, relatively cruder methods such as cooling or pharmacological blockade have been used to examine neural circuit functions, though their limitations were well recognized. In some ways, similar shortcomings remain for optogenetics, with the ability to target a single component of complex neural circuits being the greatest challenge in applying optogenetics to systems neuroscience in primate brains. Despite this, some recent approaches combining Cre-expressing and Cre-dependent vectors have overcome some of these limitations. Here we suggest that optogenetics provides its greatest advantage to systems neuroscientists when applied as a specific tool to complement the techniques of the past, rather than necessarily replacing them.
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Affiliation(s)
- Sam Merlin
- Medical Science, School of Science, Western Sydney University, Campbelltown, NSW, Australia
| | - Trichur Vidyasagar
- Department of Optometry and Vision Sciences, School of Health Science, The University of Melbourne, Parkville, VIC, Australia
- Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
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9
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Koyano KW, Esch EM, Hong JJ, Waidmann EN, Wu H, Leopold DA. Progressive neuronal plasticity in primate visual cortex during stimulus familiarization. SCIENCE ADVANCES 2023; 9:eade4648. [PMID: 36961903 PMCID: PMC10038346 DOI: 10.1126/sciadv.ade4648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
The primate brain is equipped to learn and remember newly encountered visual stimuli such as faces and objects. In the macaque inferior temporal (IT) cortex, neurons mark the familiarity of a visual stimulus through response modification, often involving a decrease in spiking rate. Here, we investigate the emergence of this neural plasticity by longitudinally tracking IT neurons during several weeks of familiarization with face images. We found that most neurons in the anterior medial (AM) face patch exhibited a gradual decline in their late-phase visual responses to multiple stimuli. Individual neurons varied from days to weeks in their rates of plasticity, with time constants determined by the number of days of exposure rather than the cumulative number of presentations. We postulate that the sequential recruitment of neurons with experience-modified responses may provide an internal and graded measure of familiarity strength, which is a key mnemonic component of visual recognition.
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Affiliation(s)
- Kenji W. Koyano
- Section on Cognitive Neurophysiology and Imaging, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Elena M. Esch
- Section on Cognitive Neurophysiology and Imaging, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Julie J. Hong
- Section on Cognitive Neurophysiology and Imaging, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Elena N. Waidmann
- Section on Cognitive Neurophysiology and Imaging, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Haitao Wu
- Chemistry and Synthesis Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - David A. Leopold
- Section on Cognitive Neurophysiology and Imaging, National Institute of Mental Health, Bethesda, MD 20892, USA
- Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, Bethesda MD 20892, USA
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10
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Monosov IE, Ogasawara T, Haber SN, Heimel JA, Ahmadlou M. The zona incerta in control of novelty seeking and investigation across species. Curr Opin Neurobiol 2022; 77:102650. [PMID: 36399897 DOI: 10.1016/j.conb.2022.102650] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 10/02/2022] [Accepted: 10/06/2022] [Indexed: 11/17/2022]
Abstract
Many organisms rely on a capacity to rapidly replicate, disperse, and evolve when faced with uncertainty and novelty. But mammals do not evolve and replicate quickly. They rely on a sophisticated nervous system to generate predictions and select responses when confronted with these challenges. An important component of their behavioral repertoire is the adaptive context-dependent seeking or avoiding of perceptually novel objects, even when their values have not yet been learned. Here, we outline recent cross-species breakthroughs that shed light on how the zona incerta (ZI), a relatively evolutionarily conserved brain area, supports novelty-seeking and novelty-related investigations. We then conjecture how the architecture of the ZI's anatomical connectivity - the wide-ranging top-down cortical inputs to the ZI, and its specifically strong outputs to both the brainstem action controllers and to brain areas involved in action value learning - place the ZI in a unique role at the intersection of cognitive control and learning.
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Affiliation(s)
- Ilya E Monosov
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA.
| | - Takaya Ogasawara
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Suzanne N Haber
- Department of Pharmacology and Physiology, University of Rochester School of Medicine & Dentistry, Rochester, NY, 14642, USA; Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, 02478, USA
| | - J Alexander Heimel
- Circuits Structure and Function Group, Netherlands Institute for Neuroscience, Meibergdreef 47, 1105 BA, Amsterdam, the Netherlands
| | - Mehran Ahmadlou
- Circuits Structure and Function Group, Netherlands Institute for Neuroscience, Meibergdreef 47, 1105 BA, Amsterdam, the Netherlands; Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, 25 Howland St., W1T4JG London, UK
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11
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Miyamoto K, Setsuie R, Miyashita Y. Conversion of concept-specific decision confidence into integrative introspection in primates. Cell Rep 2022; 38:110581. [PMID: 35354028 DOI: 10.1016/j.celrep.2022.110581] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 12/21/2021] [Accepted: 03/07/2022] [Indexed: 11/26/2022] Open
Abstract
Introspection based on the integration of uncertain evidence is critical for acting upon abstract thinking and imagining future scenarios. However, it is unknown how confidence read-outs from multiple sources of different concepts are integrated, especially considering the relationships among the concepts. In this study, monkeys performed wagering based on an estimation of their performance in a preceding mnemonic decision. We found that the longer the response times for post-decision wagering, the more relieved the impairments having been caused by frontal disruption. This suggests the existence of a time-consuming compensatory metacognitive process. We found posterior inferior parietal lobe (pIPL) as its candidate, which was not coding the wagering per se (i.e., just high bet or low bet), but became more active when monkeys successfully chose the optimal bet option based on mnemonic decision performance. Thereafter, the pIPL prompts dorsal anterior cingulate cortex to carry the chosen wagering option. Our findings suggest a role for the pIPL in metacognitive concept integration.
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Affiliation(s)
- Kentaro Miyamoto
- Department of Physiology, The University of Tokyo School of Medicine, Bunkyo-ku, Tokyo 113-0033, Japan; Juntendo University, Graduate School of Medicine, Bunkyo-ku, Tokyo 113-8421, Japan; Department of Experimental Psychology, University of Oxford, Oxford, OXON OX1 3TA, UK; Laboratory for Imagination and Executive Functions, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako-shi, Saitama 351-0198, Japan.
| | - Rieko Setsuie
- Department of Physiology, The University of Tokyo School of Medicine, Bunkyo-ku, Tokyo 113-0033, Japan; Juntendo University, Graduate School of Medicine, Bunkyo-ku, Tokyo 113-8421, Japan; Laboratory for Cognition Circuit Dynamics, RIKEN Center for Brain Science, Wako-shi, Saitama 351-0198, Japan; Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Wako-shi, Saitama 351-0198, Japan
| | - Yasushi Miyashita
- Department of Physiology, The University of Tokyo School of Medicine, Bunkyo-ku, Tokyo 113-0033, Japan; Juntendo University, Graduate School of Medicine, Bunkyo-ku, Tokyo 113-8421, Japan; Laboratory for Cognition Circuit Dynamics, RIKEN Center for Brain Science, Wako-shi, Saitama 351-0198, Japan
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12
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MIYASHITA Y. Operating principles of the cerebral cortex as a six-layered network in primates: beyond the classic canonical circuit model. PROCEEDINGS OF THE JAPAN ACADEMY. SERIES B, PHYSICAL AND BIOLOGICAL SCIENCES 2022; 98:93-111. [PMID: 35283409 PMCID: PMC8948418 DOI: 10.2183/pjab.98.007] [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] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 10/28/2021] [Indexed: 06/14/2023]
Abstract
The cerebral cortex performs its computations with many six-layered fundamental units, collectively spreading along the cortical sheet. What is the local network structure and the operating dynamics of such a fundamental unit? Previous investigations of primary sensory areas revealed a classic "canonical" circuit model, leading to an expectation of similar circuit organization and dynamics throughout the cortex. This review clarifies the different circuit dynamics at play in the higher association cortex of primates that implements computation for high-level cognition such as memory and attention. Instead of feedforward processing of response selectivity through Layers 4 to 2/3 that the classic canonical circuit stipulates, memory recall in primates occurs in Layer 5/6 with local backward projection to Layer 2/3, after which the retrieved information is sent back from Layer 6 to lower-level cortical areas for further retrieval of nested associations of target attributes. In this review, a novel "dynamic multimode module (D3M)" in the primate association cortex is proposed, as a new "canonical" circuit model performing this operation.
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Affiliation(s)
- Yasushi MIYASHITA
- Department of Physiology, The University of Tokyo School of Medicine, Tokyo, Japan
- Juntendo University, Graduate School of Medicine, Tokyo, Japan
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13
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What déjà vu and the “dreamy state” tell us about episodic memory networks. Clin Neurophysiol 2022; 136:173-181. [DOI: 10.1016/j.clinph.2022.01.126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 01/04/2022] [Accepted: 01/11/2022] [Indexed: 11/22/2022]
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14
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Ogasawara T, Sogukpinar F, Zhang K, Feng YY, Pai J, Jezzini A, Monosov IE. A primate temporal cortex-zona incerta pathway for novelty seeking. Nat Neurosci 2022; 25:50-60. [PMID: 34903880 DOI: 10.1038/s41593-021-00950-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 09/28/2021] [Indexed: 11/08/2022]
Abstract
Primates interact with the world by exploring visual objects; they seek opportunities to view novel objects even when these have no extrinsic reward value. How the brain controls this novelty seeking is unknown. Here we show that novelty seeking in monkeys is regulated by the zona incerta (ZI). As monkeys made eye movements to familiar objects to trigger an opportunity to view novel objects, many ZI neurons were preferentially activated by predictions of novel objects before the gaze shift. Low-intensity ZI stimulation facilitated gaze shifts, whereas ZI inactivation reduced novelty seeking. ZI-dependent novelty seeking was not regulated by neurons in the lateral habenula or by many dopamine neurons in the substantia nigra, traditionally associated with reward seeking. But the anterior ventral medial temporal cortex, an area important for object vision and memory, was a prominent source of novelty predictions. These data uncover a functional pathway in the primate brain that regulates novelty seeking.
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Affiliation(s)
- Takaya Ogasawara
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
| | - Fatih Sogukpinar
- Department of Electrical Engineering, Washington University, St. Louis, MO, USA
| | - Kaining Zhang
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
| | - Yang-Yang Feng
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
| | - Julia Pai
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Ahmad Jezzini
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Ilya E Monosov
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Electrical Engineering, Washington University, St. Louis, MO, USA.
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA.
- Department of Neurosurgery School of Medicine, Washington University, St. Louis, MO, USA.
- Pain Center, Washington University School of Medicine, St. Louis, MO, USA.
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15
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Fulvi Mari C. Memory retrieval dynamics and storage capacity of a modular network model of association cortex with featural decomposition. Biosystems 2021; 211:104570. [PMID: 34801644 DOI: 10.1016/j.biosystems.2021.104570] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 09/02/2021] [Accepted: 10/31/2021] [Indexed: 12/15/2022]
Abstract
The primate heteromodal cortex presents an evident functional modularity at a mesoscopic level, with physiological and anatomical evidence pointing to it as likely substrate of long-term memory. In order to investigate some of its properties, a model of multimodular autoassociator is studied. Each of the many modules represents a neocortical functional ensemble of recurrently connected neurons and operates as a Hebbian autoassociator, storing a number of local features which it can recall upon cue. The global memory patterns are made of combinations of features sparsely distributed across the modules. Intermodular connections are modelled as a finite-connectivity random graph. Any pair of features in any respective pair of modules is allowed to be involved in several memory patterns; the coarse-grained modular network dynamics is defined in such a way as to overcome the consequent ambiguity of associations. Effects of long-range homeostatic synaptic scaling on network performance are also assessed. The dynamical process of cued retrieval almost saturates a natural upper bound while producing negligible spurious activation. The extent of finite-size effects on storage capacity is quantitatively evaluated. In the limit of infinite size, the functional relationship between storage capacity and number of features per module reduces to that which other authors found by methods from equilibrium statistical mechanics, which suggests that the origin of the functional form is of a combinatorial nature. In contrast with its apparent inevitability at intramodular level, long-range synaptic scaling results to be of minor relevance to both retrieval and storage capacity, casting doubt on its existence in the neocortex. A conjecture is also posited about how statistical fluctuation of connectivity across the network may underpin spontaneous emergence of semantic hierarchies through learning.
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16
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Scott JT, Bourne JA. Modelling behaviors relevant to brain disorders in the nonhuman primate: Are we there yet? Prog Neurobiol 2021; 208:102183. [PMID: 34728308 DOI: 10.1016/j.pneurobio.2021.102183] [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] [Received: 04/26/2021] [Revised: 10/27/2021] [Accepted: 10/27/2021] [Indexed: 12/30/2022]
Abstract
Recent years have seen a profound resurgence of activity with nonhuman primates (NHPs) to model human brain disorders. From marmosets to macaques, the study of NHP species offers a unique window into the function of primate-specific neural circuits that are impossible to examine in other models. Examining how these circuits manifest into the complex behaviors of primates, such as advanced cognitive and social functions, has provided enormous insights to date into the mechanisms underlying symptoms of numerous neurological and neuropsychiatric illnesses. With the recent optimization of modern techniques to manipulate and measure neural activity in vivo, such as optogenetics and calcium imaging, NHP research is more well-equipped than ever to probe the neural mechanisms underlying pathological behavior. However, methods for behavioral experimentation and analysis in NHPs have noticeably failed to keep pace with these advances. As behavior ultimately lies at the junction between preclinical findings and its translation to clinical outcomes for brain disorders, approaches to improve the integrity, reproducibility, and translatability of behavioral experiments in NHPs requires critical evaluation. In this review, we provide a unifying account of existing brain disorder models using NHPs, and provide insights into the present and emerging contributions of behavioral studies to the field.
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Affiliation(s)
- Jack T Scott
- Australian Regenerative Medicine Institute, Monash University, Clayton, VIC, Australia
| | - James A Bourne
- Australian Regenerative Medicine Institute, Monash University, Clayton, VIC, Australia.
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17
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Olfactory Optogenetics: Light Illuminates the Chemical Sensing Mechanisms of Biological Olfactory Systems. BIOSENSORS-BASEL 2021; 11:bios11090309. [PMID: 34562900 PMCID: PMC8470751 DOI: 10.3390/bios11090309] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 08/17/2021] [Accepted: 08/27/2021] [Indexed: 01/26/2023]
Abstract
The mammalian olfactory system has an amazing ability to distinguish thousands of odorant molecules at the trace level. Scientists have made great achievements on revealing the olfactory sensing mechanisms in decades; even though many issues need addressing. Optogenetics provides a novel technical approach to solve this dilemma by utilizing light to illuminate specific part of the olfactory system; which can be used in all corners of the olfactory system for revealing the olfactory mechanism. This article reviews the most recent advances in olfactory optogenetics devoted to elucidate the mechanisms of chemical sensing. It thus attempts to introduce olfactory optogenetics according to the structure of the olfactory system. It mainly includes the following aspects: the sensory input from the olfactory epithelium to the olfactory bulb; the influences of the olfactory bulb (OB) neuron activity patterns on olfactory perception; the regulation between the olfactory cortex and the olfactory bulb; and the neuromodulation participating in odor coding by dominating the olfactory bulb. Finally; current challenges and future development trends of olfactory optogenetics are proposed and discussed.
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18
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Landi SM, Viswanathan P, Serene S, Freiwald WA. A fast link between face perception and memory in the temporal pole. Science 2021; 373:581-585. [PMID: 34210891 DOI: 10.1126/science.abi6671] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 06/22/2021] [Indexed: 12/22/2022]
Abstract
The question of how the brain recognizes the faces of familiar individuals has been important throughout the history of neuroscience. Cells linking visual processing to person memory have been proposed but not found. Here, we report the discovery of such cells through recordings from an area in the macaque temporal pole identified with functional magnetic resonance imaging. These cells responded to faces that were personally familiar. They responded nonlinearly to stepwise changes in face visibility and detail and holistically to face parts, reflecting key signatures of familiar face recognition. They discriminated between familiar identities, as fast as a general face identity area. The discovery of these cells establishes a new pathway for the fast recognition of familiar individuals.
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Affiliation(s)
- Sofia M Landi
- Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA. .,Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Pooja Viswanathan
- Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA.,The Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stephen Serene
- Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA
| | - Winrich A Freiwald
- Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA. .,The Center for Brains, Minds & Machines, Cambridge, MA, USA
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19
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Nonhuman Primate Optogenetics: Current Status and Future Prospects. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1293:345-358. [PMID: 33398825 DOI: 10.1007/978-981-15-8763-4_22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Nonhuman primates (NHPs) have widely and crucially been utilized as model animals for understanding various higher brain functions and neurological disorders since their behavioral actions mimic both normal and disease states in humans. To know about how such behaviors emerge from the functions and dysfunctions of complex neural networks, it is essential to define the role of a particular pathway or neuron-type constituting these networks. Optogenetics is a potential technique that enables analyses of network functions. However, because of the large size of the NHP brain and the difficulty in creating genetically modified animal models, this technique is currently still hard to apply effectively and efficiently to NHP neuroscience. In this article, we focus on the issues that should be overcome for the development of NHP optogenetics, with special reference to the gene introduction strategy. We review the recent breakthroughs that have been made in NHP optogenetics to address these issues and discuss future prospects regarding more effective and efficient approaches to successful optogenetic manipulation in NHPs.
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20
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Tremblay S, Acker L, Afraz A, Albaugh DL, Amita H, Andrei AR, Angelucci A, Aschner A, Balan PF, Basso MA, Benvenuti G, Bohlen MO, Caiola MJ, Calcedo R, Cavanaugh J, Chen Y, Chen S, Chernov MM, Clark AM, Dai J, Debes SR, Deisseroth K, Desimone R, Dragoi V, Egger SW, Eldridge MAG, El-Nahal HG, Fabbrini F, Federer F, Fetsch CR, Fortuna MG, Friedman RM, Fujii N, Gail A, Galvan A, Ghosh S, Gieselmann MA, Gulli RA, Hikosaka O, Hosseini EA, Hu X, Hüer J, Inoue KI, Janz R, Jazayeri M, Jiang R, Ju N, Kar K, Klein C, Kohn A, Komatsu M, Maeda K, Martinez-Trujillo JC, Matsumoto M, Maunsell JHR, Mendoza-Halliday D, Monosov IE, Muers RS, Nurminen L, Ortiz-Rios M, O'Shea DJ, Palfi S, Petkov CI, Pojoga S, Rajalingham R, Ramakrishnan C, Remington ED, Revsine C, Roe AW, Sabes PN, Saunders RC, Scherberger H, Schmid MC, Schultz W, Seidemann E, Senova YS, Shadlen MN, Sheinberg DL, Siu C, Smith Y, Solomon SS, Sommer MA, Spudich JL, Stauffer WR, Takada M, Tang S, Thiele A, Treue S, Vanduffel W, Vogels R, Whitmire MP, Wichmann T, Wurtz RH, Xu H, Yazdan-Shahmorad A, Shenoy KV, DiCarlo JJ, Platt ML. An Open Resource for Non-human Primate Optogenetics. Neuron 2020; 108:1075-1090.e6. [PMID: 33080229 PMCID: PMC7962465 DOI: 10.1016/j.neuron.2020.09.027] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/28/2020] [Accepted: 09/21/2020] [Indexed: 12/26/2022]
Abstract
Optogenetics has revolutionized neuroscience in small laboratory animals, but its effect on animal models more closely related to humans, such as non-human primates (NHPs), has been mixed. To make evidence-based decisions in primate optogenetics, the scientific community would benefit from a centralized database listing all attempts, successful and unsuccessful, of using optogenetics in the primate brain. We contacted members of the community to ask for their contributions to an open science initiative. As of this writing, 45 laboratories around the world contributed more than 1,000 injection experiments, including precise details regarding their methods and outcomes. Of those entries, more than half had not been published. The resource is free for everyone to consult and contribute to on the Open Science Framework website. Here we review some of the insights from this initial release of the database and discuss methodological considerations to improve the success of optogenetic experiments in NHPs.
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Affiliation(s)
- Sébastien Tremblay
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Leah Acker
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Arash Afraz
- National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA
| | - Daniel L Albaugh
- Yerkes National Primate Research Center, Morris K. Udall Center of Excellence for Parkinson's Disease, Department of Neurology, Emory University, GA 30329, USA
| | - Hidetoshi Amita
- Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ariana R Andrei
- Department of Neurobiology and Anatomy, McGovern Medical School, University of Texas-Houston, Houston, TX 77030, USA
| | - Alessandra Angelucci
- Department of Ophthalmology, Moran Eye Institute, University of Utah, Salt Lake City, UT 84132, USA
| | - Amir Aschner
- Dominik P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Puiu F Balan
- Laboratory of Neuro- and Psychophysiology, KU Leuven, 3000 Leuven, Belgium
| | - Michele A Basso
- Departments of Psychiatry and Biobehavioral Sciences and Neurobiology, UCLA, Los Angeles, CA 90095, USA
| | - Giacomo Benvenuti
- Departments of Psychology and Neuroscience, Center for Perceptual Systems, University of Texas, Austin, TX 78712, USA
| | - Martin O Bohlen
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Michael J Caiola
- Yerkes National Primate Research Center, Morris K. Udall Center of Excellence for Parkinson's Disease, Department of Neurology, Emory University, GA 30329, USA
| | - Roberto Calcedo
- Gene Therapy Program, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19014, USA
| | - James Cavanaugh
- Laboratory of Sensorimotor Research, National Eye Institute, NIH, Bethesda, MD 20982, USA
| | - Yuzhi Chen
- Departments of Psychology and Neuroscience, Center for Perceptual Systems, University of Texas, Austin, TX 78712, USA
| | - Spencer Chen
- Departments of Psychology and Neuroscience, Center for Perceptual Systems, University of Texas, Austin, TX 78712, USA
| | - Mykyta M Chernov
- Division of Neuroscience, Oregon National Primate Resource Center, Oregon Health and Science University, Beaverton, OR 97006, USA
| | - Andrew M Clark
- Department of Ophthalmology, Moran Eye Institute, University of Utah, Salt Lake City, UT 84132, USA
| | - Ji Dai
- CAS Key Laboratory of Brain Connectome and Manipulation, The Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen 518055, China
| | - Samantha R Debes
- Department of Neurobiology and Anatomy, McGovern Medical School, University of Texas-Houston, Houston, TX 77030, USA
| | - Karl Deisseroth
- Neuroscience Program, Departments of Bioengineering, Psychiatry, and Behavioral Science, Wu Tsai Neurosciences Institute, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Robert Desimone
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Valentin Dragoi
- Department of Neurobiology and Anatomy, McGovern Medical School, University of Texas-Houston, Houston, TX 77030, USA
| | - Seth W Egger
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Mark A G Eldridge
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA
| | - Hala G El-Nahal
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Francesco Fabbrini
- Laboratory of Neuro- and Psychophysiology, KU Leuven, 3000 Leuven, Belgium; Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Frederick Federer
- Department of Ophthalmology, Moran Eye Institute, University of Utah, Salt Lake City, UT 84132, USA
| | - Christopher R Fetsch
- The Solomon H. Snyder Department of Neuroscience & Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Michal G Fortuna
- German Primate Center - Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Robert M Friedman
- Division of Neuroscience, Oregon National Primate Resource Center, Oregon Health and Science University, Beaverton, OR 97006, USA
| | - Naotaka Fujii
- Laboratory for Adaptive Intelligence, RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
| | - Alexander Gail
- German Primate Center - Leibniz Institute for Primate Research, 37077 Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Faculty for Biology and Psychology, University of Göttingen, Göttingen, Germany; Leibniz Science Campus Primate Cognition, Göttingen, Germany
| | - Adriana Galvan
- Yerkes National Primate Research Center, Morris K. Udall Center of Excellence for Parkinson's Disease, Department of Neurology, Emory University, GA 30329, USA
| | - Supriya Ghosh
- Department of Neurobiology and Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior, University of Chicago, Chicago, IL 60637, USA
| | - Marc Alwin Gieselmann
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle NE2 4HH, UK
| | - Roberto A Gulli
- Zuckerman Institute, Columbia University, New York, NY 10027, USA; Center for Theoretical Neuroscience, Columbia University, New York, NY 10027, USA
| | - Okihide Hikosaka
- Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Eghbal A Hosseini
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Xing Hu
- Yerkes National Primate Research Center, Morris K. Udall Center of Excellence for Parkinson's Disease, Department of Neurology, Emory University, GA 30329, USA
| | - Janina Hüer
- German Primate Center - Leibniz Institute for Primate Research, 37077 Göttingen, Germany
| | - Ken-Ichi Inoue
- Systems Neuroscience Section, Primate Research Institute, Kyoto University, Inuyama, Aichi 484-8506, Japan; PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan
| | - Roger Janz
- Department of Neurobiology and Anatomy, McGovern Medical School, University of Texas-Houston, Houston, TX 77030, USA
| | - Mehrdad Jazayeri
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Rundong Jiang
- School of Life Sciences, Peking University, Beijing 100871, China
| | - Niansheng Ju
- School of Life Sciences, Peking University, Beijing 100871, China
| | - Kohitij Kar
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Carsten Klein
- Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Adam Kohn
- Dominik P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Ophthalmology and Visual Sciences, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Misako Komatsu
- Laboratory for Adaptive Intelligence, RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
| | - Kazutaka Maeda
- Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Julio C Martinez-Trujillo
- Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada; Brain and Mind Institute, University of Western Ontario, London, ON, Canada
| | - Masayuki Matsumoto
- Division of Biomedical Science, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Transborder Medical Research Center, University of Tsukuba, Tsukuba, Ibaraki 305-8577, Japan
| | - John H R Maunsell
- Department of Neurobiology and Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior, University of Chicago, Chicago, IL 60637, USA
| | - Diego Mendoza-Halliday
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Ilya E Monosov
- Department of Neuroscience, Biomedical Engineering, Electrical Engineering, Neurosurgery and Pain Center, Washington University, St. Louis, MO 63110, USA
| | - Ross S Muers
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle NE2 4HH, UK
| | - Lauri Nurminen
- Department of Ophthalmology, Moran Eye Institute, University of Utah, Salt Lake City, UT 84132, USA
| | - Michael Ortiz-Rios
- German Primate Center - Leibniz Institute for Primate Research, 37077 Göttingen, Germany; Leibniz Science Campus Primate Cognition, Göttingen, Germany; Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle NE2 4HH, UK
| | - Daniel J O'Shea
- Department of Electrical Engineering, Wu Tsai Neurosciences Institute, and Bio-X Institute, and Neuroscience Graduate Program, Stanford University, Stanford, CA 94305, USA
| | - Stéphane Palfi
- Department of Neurosurgery, Assistance Publique-Hopitaux de Paris (APHP), U955 INSERM IMRB eq.15, University of Paris 12 UPEC, Faculté de Médecine, Créteil 94010, France
| | - Christopher I Petkov
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle NE2 4HH, UK
| | - Sorin Pojoga
- Department of Neurobiology and Anatomy, McGovern Medical School, University of Texas-Houston, Houston, TX 77030, USA
| | - Rishi Rajalingham
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Charu Ramakrishnan
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Evan D Remington
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Cambria Revsine
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104, USA; Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20814, USA
| | - Anna W Roe
- Division of Neuroscience, Oregon National Primate Resource Center, Oregon Health and Science University, Beaverton, OR 97006, USA; Interdisciplinary Institute of Neuroscience and Technology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310029, China; Key Laboratory of Biomedical Engineering of the Ministry of Education, Zhejiang University, Hangzhou 310029, China
| | - Philip N Sabes
- Center for Integrative Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Richard C Saunders
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA
| | - Hansjörg Scherberger
- German Primate Center - Leibniz Institute for Primate Research, 37077 Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Faculty for Biology and Psychology, University of Göttingen, Göttingen, Germany; Leibniz Science Campus Primate Cognition, Göttingen, Germany
| | - Michael C Schmid
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle NE2 4HH, UK; Department of Neurosciences and Movement Sciences, Faculty of Science and Medicine, University of Fribourg, 1700 Fribourg, Switzerland
| | - Wolfram Schultz
- Department of Physiology, Development of Neuroscience, University of Cambridge, Cambridge CB3 0LT, UK
| | - Eyal Seidemann
- Departments of Psychology and Neuroscience, Center for Perceptual Systems, University of Texas, Austin, TX 78712, USA
| | - Yann-Suhan Senova
- Department of Neurosurgery, Assistance Publique-Hopitaux de Paris (APHP), U955 INSERM IMRB eq.15, University of Paris 12 UPEC, Faculté de Médecine, Créteil 94010, France
| | - Michael N Shadlen
- Department of Neuroscience, Mortimer B. Zuckerman Mind Brain Behavior Institute, The Kavli Institute for Brain Science & Howard Hughes Medical Institute, Columbia University, NY 10027, USA
| | - David L Sheinberg
- Department of Neuroscience and Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA
| | - Caitlin Siu
- Department of Ophthalmology, Moran Eye Institute, University of Utah, Salt Lake City, UT 84132, USA
| | - Yoland Smith
- Yerkes National Primate Research Center, Morris K. Udall Center of Excellence for Parkinson's Disease, Department of Neurology, Emory University, GA 30329, USA
| | - Selina S Solomon
- Dominik P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Marc A Sommer
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - John L Spudich
- Department of Biochemistry and Molecular Biology, McGovern Medical School, The University of Texas-Houston, Houston, TX 77030, USA
| | - William R Stauffer
- Systems Neuroscience Institute, Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Masahiko Takada
- Systems Neuroscience Section, Primate Research Institute, Kyoto University, Inuyama, Aichi 484-8506, Japan
| | - Shiming Tang
- School of Life Sciences, Peking University, Beijing 100871, China
| | - Alexander Thiele
- Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle NE2 4HH, UK
| | - Stefan Treue
- German Primate Center - Leibniz Institute for Primate Research, 37077 Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Faculty for Biology and Psychology, University of Göttingen, Göttingen, Germany; Leibniz Science Campus Primate Cognition, Göttingen, Germany
| | - Wim Vanduffel
- Laboratory of Neuro- and Psychophysiology, KU Leuven, 3000 Leuven, Belgium; Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium; MGH Martinos Center, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02144, USA
| | - Rufin Vogels
- Laboratory of Neuro- and Psychophysiology, KU Leuven, 3000 Leuven, Belgium; Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Matthew P Whitmire
- Departments of Psychology and Neuroscience, Center for Perceptual Systems, University of Texas, Austin, TX 78712, USA
| | - Thomas Wichmann
- Yerkes National Primate Research Center, Morris K. Udall Center of Excellence for Parkinson's Disease, Department of Neurology, Emory University, GA 30329, USA
| | - Robert H Wurtz
- Laboratory of Sensorimotor Research, National Eye Institute, NIH, Bethesda, MD 20982, USA
| | - Haoran Xu
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Azadeh Yazdan-Shahmorad
- Center for Integrative Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA; Departments of Bioengineering and Electrical and Computer Engineering, Washington National Primate Research Center, University of Washington, Seattle, WA 98105, USA
| | - Krishna V Shenoy
- Departments of Electrical Engineering, Bioengineering, and Neurobiology, Wu Tsai Neurosciences Institute and Bio-X Institute, Neuroscience Graduate Program, and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - James J DiCarlo
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Michael L Platt
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Marketing, Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA
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21
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Cushnie AK, El-Nahal HG, Bohlen MO, May PJ, Basso MA, Grimaldi P, Wang MZ, de Velasco Ezequiel MF, Sommer MA, Heilbronner SR. Using rAAV2-retro in rhesus macaques: Promise and caveats for circuit manipulation. J Neurosci Methods 2020; 345:108859. [PMID: 32668316 PMCID: PMC7539563 DOI: 10.1016/j.jneumeth.2020.108859] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 07/01/2020] [Accepted: 07/10/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Recent genetic technologies such as opto- and chemogenetics allow for the manipulation of brain circuits with unprecedented precision. Most studies employing these techniques have been undertaken in rodents, but a more human-homologous model for studying the brain is the nonhuman primate (NHP). Optimizing viral delivery of transgenes encoding actuator proteins could revolutionize the way we study neuronal circuits in NHPs. NEW METHOD: rAAV2-retro, a popular new capsid variant, produces robust retrograde labeling in rodents. Whether rAAV2-retro's highly efficient retrograde transport would translate to NHPs was unknown. Here, we characterized the anatomical distribution of labeling following injections of rAAV2-retro encoding opsins or DREADDs in the cortico-basal ganglia and oculomotor circuits of rhesus macaques. RESULTS rAAV2-retro injections in striatum, frontal eye field, and superior colliculus produced local labeling at injection sites and robust retrograde labeling in many afferent regions. In every case, however, a few brain regions with well-established projections to the injected structure lacked retrogradely labeled cells. We also observed robust terminal field labeling in downstream structures. COMPARISON WITH EXISTING METHOD(S) Patterns of labeling were similar to those obtained with traditional tract-tracers, except for some afferent labeling that was noticeably absent. CONCLUSIONS rAAV2-retro promises to be useful for circuit manipulation via retrograde transduction in NHPs, but caveats were revealed by our findings. Some afferently connected regions lacked retrogradely labeled cells, showed robust axon terminal labeling, or both. This highlights the importance of anatomically characterizing rAAV2-retro's expression in target circuits in NHPs before moving to manipulation studies.
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Affiliation(s)
- Adriana K Cushnie
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, United States
| | - Hala G El-Nahal
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, United States
| | - Martin O Bohlen
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, United States
| | - Paul J May
- Department of Neurobiology and Anatomical Sciences, University of Mississippi Medical Center, Jackson, 39216, United States
| | - Michele A Basso
- Fuster Laboratory of Cognitive Neuroscience, Department of Psychiatry and Biobehavioral Sciences and Neurobiology, Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, Univ. of California Los Angeles, Los Angeles, CA 90095, United States
| | - Piercesare Grimaldi
- Fuster Laboratory of Cognitive Neuroscience, Department of Psychiatry and Biobehavioral Sciences and Neurobiology, Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, Univ. of California Los Angeles, Los Angeles, CA 90095, United States
| | - Maya Zhe Wang
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, United States
| | | | - Marc A Sommer
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, United States; Department of Neurobiology, Duke University School of Medicine, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States
| | - Sarah R Heilbronner
- Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, United States.
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22
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Functional interrogation of neural circuits with virally transmitted optogenetic tools. J Neurosci Methods 2020; 345:108905. [PMID: 32795553 DOI: 10.1016/j.jneumeth.2020.108905] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 08/03/2020] [Accepted: 08/06/2020] [Indexed: 12/12/2022]
Abstract
The vertebrate brain comprises a plethora of cell types connected by intertwined pathways. Optogenetics enriches the neuroscientific tool set for disentangling these neuronal circuits in a manner which exceeds the spatio-temporal precision of previously existing techniques. Technically, optogenetics can be divided in three types of optical and genetic combinations: (1) it is primarily understood as the manipulation of the activity of genetically modified cells (typically neurons) with light, i.e. optical actuators. (2) A second combination refers to visualizing the activity of genetically modified cells (again typically neurons), i.e. optical sensors. (3) A completely different interpretation of optogenetics refers to the light activated expression of a genetically induced construct. Here, we focus on the first two types of optogenetics, i.e. the optical actuators and sensors in an attempt to give an overview into the topic. We first cover methods to express opsins into neurons and introduce strategies of targeting specific neuronal populations in different animal species. We then summarize combinations of optogenetics with behavioral read out and neuronal imaging. Finally, we give an overview of the current state-of-the-art and an outlook on future perspectives.
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23
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Off-Peak 594-nm Light Surpasses On-Peak 532-nm Light in Silencing Distant ArchT-Expressing Neurons In Vivo. iScience 2020; 23:101276. [PMID: 32599561 PMCID: PMC7326739 DOI: 10.1016/j.isci.2020.101276] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 03/23/2020] [Accepted: 06/11/2020] [Indexed: 01/02/2023] Open
Abstract
For large brain volume manipulations using optogenetics, both effective opsin excitation and efficient light delivery with minimal light absorption are required to minimize the illuminating light intensity and concomitant off-target effects. ArchT, a widely used potent inhibitory opsin, is commonly activated by 532-nm light, which lies on its in vitro excitation peak. However, 532-nm light also lies on a peak range of the hemoglobin absorption spectrum. Therefore, we predicted that 594-nm light is superior in suppressing distant ArchT-expressing neurons, which is slightly off the ArchT-excitation-plateau and largely off the peak of the hemoglobin absorption spectrum. We quantitatively tested this prediction by the electrophysiological recording of the rat cortex in vivo. At illumination distances greater than 500 μm, 594-nm light was more effective than 532-nm light. Its superiority increased with distance. These results validate our prediction and highlight the significance of excitation-absorption trade-off in selecting illumination wavelength for optogenetics in vivo. Wavelength-dependency of optogenetic neuronal control was directly measured in vivo Off-peak light silence 1-mm-distant ArchT-neuron twice more than on-peak light in vivo Superiority of off-peak light at distance arose from its less absorption of light Simulation of light propagation supported unexpectedly large effect of hemoglobin
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24
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Abstract
The entorhinal cortex (EC) is a critical element of the hippocampal formation located within the medial temporal lobe (MTL) in primates. The EC has historically received attention for being the primary mediator of cortical information going into and coming from the hippocampus proper. In this review, we highlight the significance of the EC as a major player in memory processing, along with other associated structures in the primate MTL. The complex, convergent topographies of cortical and subcortical input to the EC, combined with short-range intrinsic connectivity and the selective targeting of EC efferents to the hippocampus, provide evidence for subregional specialization and integration of information beyond what would be expected if this structure were a simple conduit of information for the hippocampus. Lesion studies of the EC provide evidence implicating this region as critical for memory and the flexible use of complex relational associations between experienced events. The physiology of this structure's constituent principal cells mirrors the complexity of its anatomy. EC neurons respond preferentially to aspects of memory-dependent paradigms including object, place, and time. EC neurons also show striking spatial representations as primates explore visual space, similar to those identified in rodents navigating physical space. In this review, we highlight the great strides that have been made toward furthering our understanding of the primate EC, and we identify paths forward for future experiments to provide additional insight into the role of this structure in learning and memory.
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Affiliation(s)
- Aaron D Garcia
- Graduate Program in Neuroscience, University of Washington, Seattle, Washington 98195, USA.,Department of Physiology and Biophysics, School of Medicine, University of Washington, Seattle, Washington 98195, USA;
| | - Elizabeth A Buffalo
- Department of Physiology and Biophysics, School of Medicine, University of Washington, Seattle, Washington 98195, USA; .,Washington National Primate Research Center, University of Washington, Seattle, Washington 98195, USA
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25
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De A, El-Shamayleh Y, Horwitz GD. Fast and reversible neural inactivation in macaque cortex by optogenetic stimulation of GABAergic neurons. eLife 2020; 9:52658. [PMID: 32452766 PMCID: PMC7329331 DOI: 10.7554/elife.52658] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 05/24/2020] [Indexed: 12/21/2022] Open
Abstract
Optogenetic techniques for neural inactivation are valuable for linking neural activity to behavior but they have serious limitations in macaques. To achieve powerful and temporally precise neural inactivation, we used an adeno-associated viral (AAV) vector carrying the channelrhodopsin-2 gene under the control of a Dlx5/6 enhancer, which restricts expression to GABAergic neurons. We tested this approach in the primary visual cortex, an area where neural inactivation leads to interpretable behavioral deficits. Optical stimulation modulated spiking activity and reduced visual sensitivity profoundly in the region of space represented by the stimulated neurons. Rebound firing, which can have unwanted effects on neural circuits following inactivation, was not observed, and the efficacy of the optogenetic manipulation on behavior was maintained across >1000 trials. We conclude that this inhibitory cell-type-specific optogenetic approach is a powerful and spatiotemporally precise neural inactivation tool with broad utility for probing the functional contributions of cortical activity in macaques.
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Affiliation(s)
- Abhishek De
- Graduate Program in Neuroscience, University of Washington, Seattle, United States.,Department of Physiology and Biophysics, Washington National Primate Research Center, University of Washington, Seattle, United States
| | - Yasmine El-Shamayleh
- Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States
| | - Gregory D Horwitz
- Department of Physiology and Biophysics, Washington National Primate Research Center, University of Washington, Seattle, United States
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26
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Jun S, Lee SA, Kim JS, Jeong W, Chung CK. Task-dependent effects of intracranial hippocampal stimulation on human memory and hippocampal theta power. Brain Stimul 2020; 13:603-613. [PMID: 32289685 DOI: 10.1016/j.brs.2020.01.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 01/11/2020] [Accepted: 01/16/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Despite its potential to revolutionize the treatment of memory dysfunction, the efficacy of direct electrical hippocampal stimulation for memory performance has not yet been well characterized. One of the main challenges to cross-study comparison in this area of research is the diversity of the cognitive tasks used to measure memory performance. OBJECTIVE We hypothesized that the tasks that differentially engage the hippocampus may be differentially influenced by hippocampal stimulation and the behavioral effects would be related to the underlying hippocampal activity. METHODS To investigate this issue, we recorded intracranial EEG from and directly applied stimulation to the hippocampus of 10 epilepsy patients while they performed two different verbal memory tasks - a word pair associative memory task and a single item memory task. RESULTS Hippocampal stimulation modulated memory performance in a task-dependent manner, improving associative memory performance, while impairing item memory performance. In addition, subjects with poorer baseline cognitive function improved much more with stimulation. iEEG recordings from the hippocampus during non-stimulation encoding blocks revealed that the associative memory task elicited stronger theta oscillations than did item memory and that stronger theta power was related to memory performance. CONCLUSIONS We show here for the first time that stimulation-induced associative memory enhancement was linked to increased theta power during retrieval. These results suggest that hippocampal stimulation enhances associative memory but not item memory because it engages more hippocampal theta activity and that, in general, increasing hippocampal theta may provide a neural mechanism for successful memory enhancement.
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Affiliation(s)
- Soyeon Jun
- Department of Brain & Cognitive Sciences, Seoul National University, Seoul, 03080, Republic of Korea; Department of Neurosurgery, Seoul National University Hospital, Seoul, 03080, Republic of Korea.
| | - Sang Ah Lee
- Department of Bio & Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea
| | - June Sic Kim
- Department of Brain & Cognitive Sciences, Seoul National University, Seoul, 03080, Republic of Korea; Research Institute of Basic Sciences, Seoul National University, Seoul, Republic of Korea.
| | - Woorim Jeong
- Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea; Department of Neurosurgery, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Chun Kee Chung
- Department of Brain & Cognitive Sciences, Seoul National University, Seoul, 03080, Republic of Korea; Department of Neurosurgery, Seoul National University Hospital, Seoul, 03080, Republic of Korea.
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27
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Abstract
Monkeys are a premier model organism for neuroscience research. Activity in the central nervous systems of monkeys can be recorded and manipulated while they perform complex perceptual, motor, or cognitive tasks. Conventional techniques for manipulating neural activity in monkeys are too coarse to address many of the outstanding questions in primate neuroscience, but optogenetics holds the promise to overcome this hurdle. In this article, we review the progress that has been made in primate optogenetics over the past 5 years. We emphasize the use of gene regulatory sequences in viral vectors to target specific neuronal types, and we present data on vectors that we engineered to target parvalbumin-expressing neurons. We conclude with a discussion of the utility of optogenetics for treating sensorimotor hearing loss and Parkinson's disease, areas of translational neuroscience in which monkeys provide unique leverage for basic science and medicine.
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28
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Despouy E, Curot J, Deudon M, Gardy L, Denuelle M, Sol JC, Lotterie JA, Valton L, Barbeau EJ. A Fast Visual Recognition Memory System in Humans Identified Using Intracerebral ERP. Cereb Cortex 2019; 30:2961-2971. [DOI: 10.1093/cercor/bhz287] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 10/06/2019] [Accepted: 10/31/2019] [Indexed: 11/13/2022] Open
Abstract
Abstract
One key item of information retrieved when surveying our visual world is whether or not objects are familiar. However, there is no consensus on the respective roles of medial temporal lobe structures, particularly the perirhinal cortex (PRC) and hippocampus. We considered whether the PRC could support a fast recognition memory system independently from the hippocampus. We recorded the intracerebral electroencephalograph activity of epileptic patients while they were performing a fast visual recognition memory task, constraining them to use their quickest strategy. We performed event-related potential (ERP) and classification analyses. The PRC was, by far, the earliest region involved in recognition memory. This activity occurred before the first behavioral responses and was found to be related to reaction times, unlike the hippocampus. Single-trial analyses showed that decoding power was equivalent in the PRC and hippocampus but occurred much earlier in the PRC. A critical finding was that recognition memory-related activity occurred in different frontal and parietal regions, including the supplementary motor area, before the hippocampus. These results, based on ERP analyses, suggest that the human brain is equipped with a fast recognition memory system, which may bypass the hippocampus and in which the PRC plays a critical role.
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Affiliation(s)
- Elodie Despouy
- Centre de Recherche Cerveau et Cognition, Université de Toulouse, Université Paul Sabatier Toulouse, Toulouse 31052, France
- Centre National de la Recherche Scientifique, CerCo (UMR5549), Toulouse 31052, France
- Dixi medical, Chaudefontaine 25640, France
| | - Jonathan Curot
- Centre de Recherche Cerveau et Cognition, Université de Toulouse, Université Paul Sabatier Toulouse, Toulouse 31052, France
- Centre National de la Recherche Scientifique, CerCo (UMR5549), Toulouse 31052, France
- Explorations neurophysiologiques, Hôpital Purpan, Université de Toulouse, Toulouse 31059, France
| | - Martin Deudon
- Centre de Recherche Cerveau et Cognition, Université de Toulouse, Université Paul Sabatier Toulouse, Toulouse 31052, France
- Centre National de la Recherche Scientifique, CerCo (UMR5549), Toulouse 31052, France
| | - Ludovic Gardy
- Centre de Recherche Cerveau et Cognition, Université de Toulouse, Université Paul Sabatier Toulouse, Toulouse 31052, France
- Centre National de la Recherche Scientifique, CerCo (UMR5549), Toulouse 31052, France
| | - Marie Denuelle
- Explorations neurophysiologiques, Hôpital Purpan, Université de Toulouse, Toulouse 31059, France
| | - Jean-Christophe Sol
- INSERM, U1214, TONIC, Toulouse Mind and Brain Institute, Toulouse 31024, France
- Neurochirurgie, Hôpital Purpan, Université de Toulouse, Toulouse 31059, France
| | - Jean-Albert Lotterie
- INSERM, U1214, TONIC, Toulouse Mind and Brain Institute, Toulouse 31024, France
- Radiochirurgie stéréotaxique, Hôpital Purpan, Université de Toulouse, Toulouse 31059, France
| | - Luc Valton
- Centre de Recherche Cerveau et Cognition, Université de Toulouse, Université Paul Sabatier Toulouse, Toulouse 31052, France
- Centre National de la Recherche Scientifique, CerCo (UMR5549), Toulouse 31052, France
- Explorations neurophysiologiques, Hôpital Purpan, Université de Toulouse, Toulouse 31059, France
| | - Emmanuel J Barbeau
- Centre de Recherche Cerveau et Cognition, Université de Toulouse, Université Paul Sabatier Toulouse, Toulouse 31052, France
- Centre National de la Recherche Scientifique, CerCo (UMR5549), Toulouse 31052, France
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29
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Liuzzi AG, Bruffaerts R, Vandenberghe R. The medial temporal written word processing system. Cortex 2019; 119:287-300. [DOI: 10.1016/j.cortex.2019.05.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 03/14/2019] [Accepted: 05/08/2019] [Indexed: 10/26/2022]
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30
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Abstract
The perirhinal cortex (PRC) serves as the gateway to the hippocampus for episodic memory formation and plays a part in retrieval through its backward connectivity to various neocortical areas. First, I present the evidence suggesting that PRC neurons encode both experientially acquired object features and their associative relations. Recent studies have revealed circuit mechanisms in the PRC for the retrieval of cue-associated information, and have demonstrated that, in monkeys, PRC neuron-encoded information can be behaviourally read out. These studies, among others, support the theory that the PRC converts visual representations of an object into those of its associated features and initiates backward-propagating, interareal signalling for retrieval of nested associations of object features that, combined, extensionally represent the object meaning. I propose that the PRC works as the ventromedial hub of a 'two-hub model' at an apex of the hierarchy of a distributed memory network and integrates signals encoded in other downstream cortical areas that support diverse aspects of knowledge about an object.
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31
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Rutishauser U. Testing Models of Human Declarative Memory at the Single-Neuron Level. Trends Cogn Sci 2019; 23:510-524. [PMID: 31031021 DOI: 10.1016/j.tics.2019.03.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 03/15/2019] [Accepted: 03/20/2019] [Indexed: 11/19/2022]
Abstract
Deciphering the mechanisms of declarative memory is a major goal of neuroscience. While much theoretical progress has been made, it has proven difficult to experimentally verify key predictions of some foundational models of memory. Recently, single-neuron recordings in human patients have started to provide direct experimental verification of some theories, including mnemonic evidence accumulation, balance-of-evidence for confidence judgments, sparse coding, contextual reinstatement, and the ventral tegmental area (VTA)-hippocampus loop model. Here, we summarize the cell types that have been described in the medial temporal lobe and posterior parietal cortex, discuss their properties, and reflect on how these findings inform theoretical work. This body of work exemplifies the scientific power of a synergistic combination of modeling and human single-neuron recordings to advance cognitive neuroscience.
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Affiliation(s)
- Ueli Rutishauser
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
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32
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Nandy A, Nassi JJ, Jadi MP, Reynolds J. Optogenetically induced low-frequency correlations impair perception. eLife 2019; 8:35123. [PMID: 30794156 PMCID: PMC6391072 DOI: 10.7554/elife.35123] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 02/06/2019] [Indexed: 11/13/2022] Open
Abstract
Deployment of covert attention to a spatial location can cause large decreases in low-frequency correlated variability among neurons in macaque area V4 whose receptive-fields lie at the attended location. It has been estimated that this reduction accounts for a substantial fraction of the attention-mediated improvement in sensory processing. These estimates depend on assumptions about how population signals are decoded and the conclusion that correlated variability impairs perception, is purely hypothetical. Here we test this proposal directly by optogenetically inducing low-frequency fluctuations, to see if this interferes with performance in an attention-demanding task. We find that low-frequency optical stimulation of neurons in V4 elevates correlations among pairs of neurons and impairs the animal’s ability to make fine sensory discriminations. Stimulation at higher frequencies does not impair performance, despite comparable modulation of neuronal responses. These results support the hypothesis that attention-dependent reductions in correlated variability contribute to improved perception of attended stimuli.
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Affiliation(s)
- Anirvan Nandy
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, United States.,Department of Neuroscience, Yale University, New Haven, United States
| | - Jonathan J Nassi
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, United States
| | - Monika P Jadi
- Department of Neuroscience, Yale University, New Haven, United States.,Department of Psychiatry, Yale University, New Haven, United States
| | - John Reynolds
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, United States
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33
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Neural representation of visual concepts in people born blind. Nat Commun 2018; 9:5250. [PMID: 30531889 PMCID: PMC6286313 DOI: 10.1038/s41467-018-07574-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 11/07/2018] [Indexed: 01/07/2023] Open
Abstract
How do we represent information without sensory features? How are abstract concepts like “freedom”, devoid of external perceptible referents, represented in the brain? Here, to address the role of sensory information in the neural representation of concepts, we used fMRI to investigate how people born blind process concepts whose referents are imperceptible to them because of their visual nature (“rainbow”, “red”). Activity for these concepts was compared to that of sensorially-perceptible referents (“rain”), classical abstract concepts (“justice”) and concrete concepts (“cup”), providing a gradient between fully concrete and fully abstract concepts in the blind. We find that anterior temporal lobe (ATL) responses track concept perceptibility and objecthood: preference for imperceptible object concepts was found in dorsal ATL, for abstract (non-object, non-referential) concepts in lateral ATL, and for perceptible concepts in medial ATL. These findings point to a new division-of-labor among aspects of ATL in representing conceptual properties that are abstract in different ways. How are abstract, imperceptible concepts such as ‘freedom’ represented in the brain? Here, the authors use fMRI in people born blind to compare the neural responses for abstract concepts, concrete concepts like ‘rainbow’ which in blind people lack sensory qualities, and concrete concepts sensorily accessible to the blind.
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Takeda M, Hirabayashi T, Adachi Y, Miyashita Y. Dynamic laminar rerouting of inter-areal mnemonic signal by cognitive operations in primate temporal cortex. Nat Commun 2018; 9:4629. [PMID: 30401796 PMCID: PMC6219507 DOI: 10.1038/s41467-018-07007-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 10/06/2018] [Indexed: 01/26/2023] Open
Abstract
Execution of cognitive functions is orchestrated by a brain-wide network comprising multiple regions. However, it remains elusive whether the cortical laminar pattern of inter-areal interactions exhibits dynamic routings, depending on cognitive operations. We address this issue by simultaneously recording neuronal activities from area 36 and area TE of the temporal cortex while monkeys performed a visual cued-recall task. We identify dynamic laminar routing of the inter-areal interaction: during visual processing of a presented cue, spiking activities of area 36 neurons are preferentially coherent with local field potentials at the supragranular layer of area TE, while the signal from the same neurons switches to target the infragranular layer of area TE during memory retrieval. This layer-dependent signal represents the to-be-recalled object, and has an impact on the local processing at the supragranular layer in both cognitive operations. Thus, cortical layers form a key structural basis for dynamic switching of cognitive operations. Inter-areal interaction has been shown to support various cognitive functions. Here, the authors report that neurons in area 36 flexibly synchronize their activity with different layers of area TE within different epochs of a visually cued recall task suggesting dynamic rerouting of information.
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Affiliation(s)
- Masaki Takeda
- Department of Physiology, The University of Tokyo School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. .,Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan. .,Research Center for Brain Communication, Kochi University of Technology, Kami-city, Kochi, 782-8502, Japan.
| | - Toshiyuki Hirabayashi
- Department of Physiology, The University of Tokyo School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yusuke Adachi
- Department of Physiology, The University of Tokyo School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yasushi Miyashita
- Department of Physiology, The University of Tokyo School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
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Cheng C, Fan L, Xia X, Eickhoff SB, Li H, Li H, Chen J, Jiang T. Rostro-caudal organization of the human posterior superior temporal sulcus revealed by connectivity profiles. Hum Brain Mapp 2018; 39:5112-5125. [PMID: 30273447 DOI: 10.1002/hbm.24349] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 07/20/2018] [Accepted: 07/30/2018] [Indexed: 01/01/2023] Open
Abstract
The posterior superior temporal sulcus (pSTS) plays an important role in biological motion perception but is also thought to be essential for speech and facial processing. However, although there are many previous investigations of distinct functional modules within the pSTS, the functional organization of the pSTS in its full functional heterogeneity has not yet been established. Here we applied a connectivity-based parcellation strategy to delineate the human pSTS subregions based on distinct anatomical connectivity profiles and divided it into rostral and caudal subregions using diffusion tensor imaging. Subsequent multimodal connection pattern analyses revealed distinct subregional connectivity profiles. From this we inferred that the two subregions are involved in distinct functional circuits, the language processing loop and the cognition attention network. These results indicate a convergent functional architecture of the pSTS that can be revealed based on different types of connectivity and is reflected in different functions and interactions. In addition, when the subregions were performing their processing in the different functional circuits, we found asymmetry in the bilateral pSTS. Our findings may improve the understanding of the functional organization of the pSTS and provide new insights into its interactions and integration of information at the subregional level.
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Affiliation(s)
- Chen Cheng
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China.,Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Lingzhong Fan
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoluan Xia
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China.,Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Hai Li
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Haifang Li
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China
| | - Junjie Chen
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,The Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
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36
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Mattingly M, Weineck K, Costa J, Cooper RL. Hyperpolarization by activation of halorhodopsin results in enhanced synaptic transmission: Neuromuscular junction and CNS circuit. PLoS One 2018; 13:e0200107. [PMID: 29969493 PMCID: PMC6029800 DOI: 10.1371/journal.pone.0200107] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Accepted: 06/19/2018] [Indexed: 12/22/2022] Open
Abstract
Optogenetics offers a unique method to regulate the activity of select neural circuits. However, the electrophysiological consequences of targeted optogenetic manipulation upon the entire circuit remain poorly understood. Analysis of the sensory-CNS-motor circuit in Drosophila larvae expressing eHpHR and ChR2-XXL revealed unexpected patterns of excitability. Optical stimulation of motor neurons targeted to express eNpHR resulted in inhibition followed by excitation of body wall contraction with repetitive stimulation in intact larvae. In situ preparations with direct electrophysiological measures showed an increased responsiveness to excitatory synaptic activity induced by sensory stimulation within a functional neural circuit. To ensure proper function of eNpHR and ChR2-XXL they were expressed in body wall muscle and direct electrophysiological measurements were obtained. Under eNpHR induced hyperpolarization the muscle remained excitable with increased amplitude of excitatory postsynaptic synaptic potentials. Theoretical models to explain the observations are presented. This study aids in increasing the understanding of the varied possible influences with light activated proteins within intact neural circuits.
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Affiliation(s)
- Matthew Mattingly
- Department of Biology and Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, United States of America
| | - Kristin Weineck
- Department of Biology and Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, United States of America
- Goethe University Frankfurt am Main, Frankfurt, Germany
| | - Jennifer Costa
- Department of Biology and Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, United States of America
| | - Robin L. Cooper
- Department of Biology and Center for Muscle Biology, University of Kentucky, Lexington, Kentucky, United States of America
- * E-mail:
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37
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Abstract
Our visual memory percepts of whether we have encountered specific objects or scenes before are hypothesized to manifest as decrements in neural responses in inferotemporal cortex (IT) with stimulus repetition. To evaluate this proposal, we recorded IT neural responses as two monkeys performed a single-exposure visual memory task designed to measure the rates of forgetting with time. We found that a weighted linear read-out of IT was a better predictor of the monkeys’ forgetting rates and reaction time patterns than a strict instantiation of the repetition suppression hypothesis, expressed as a total spike count scheme. Behavioral predictions could be attributed to visual memory signals that were reflected as repetition suppression and were intermingled with visual selectivity, but only when combined across the most sensitive neurons. As we go about our daily lives, we store visual memories of the objects and scenes that we encounter. This type of memory, known as visual recognition memory, can be remarkably powerful. Imagine viewing thousands of images for only a few seconds each, for example. Several days later, you will still be able to distinguish most of those images from previously unseen ones. How does the brain do this? Visual information travels from the eyes to an area of the brain called visual cortex. Neurons in a region of visual cortex called inferotemporal cortex fire in a particular pattern to reflect what is being seen. These neurons also reflect memories of whether those things have been seen before, by firing more when things are new and less when they are viewed again. This decrease in firing, known as repetition suppression, may be the signal in the brain responsible for the sense of remembering. Meyer and Rust have now tested this idea by training macaque monkeys to report whether images on a screen were new or familiar. The monkeys were very good at remembering the images they had seen more recently, although they tended to forget some of the images with time. Then, the rate at which the monkeys forgot the images was compared with the rate at which repetition suppression disappeared in inferotemporal cortex. The results showed that the total number of firing events in this region was not a great predictor of how long the monkeys remembered images. However, a decrease in the number of firing events for a particular subset of the neurons did predict the remembering and forgetting. Repetition suppression in certain inferotemporal cortex neurons can thus account for visual recognition memory. Brain disorders and aging can both give rise to memory deficits. Identifying the mechanisms underlying memory may lead to new treatments for memory-related disorders. Visual recognition memory may be a good place to start because of our existing knowledge of how the brain processes visual information. Understanding visual recognition memory could help us understand the mechanisms of memory more broadly.
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Affiliation(s)
- Travis Meyer
- Department of Psychology, University of Pennsylvania, Philadelphia, United States
| | - Nicole C Rust
- Department of Psychology, University of Pennsylvania, Philadelphia, United States
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Faraut MCM, Carlson AA, Sullivan S, Tudusciuc O, Ross I, Reed CM, Chung JM, Mamelak AN, Rutishauser U. Dataset of human medial temporal lobe single neuron activity during declarative memory encoding and recognition. Sci Data 2018; 5:180010. [PMID: 29437158 PMCID: PMC5810422 DOI: 10.1038/sdata.2018.10] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 12/08/2017] [Indexed: 11/09/2022] Open
Abstract
We present a dataset of 1,576 single neurons recorded from the human amygdala and hippocampus in 65 sessions from 42 patients undergoing intracranial monitoring for localization of epileptic seizures. Subjects performed a recognition memory task with pictures as stimuli. Subjects were asked to identify whether they had seen a particular image the first time ('new') or second time ('old') on a 1-6 confidence scale. This comprehensive dataset includes the spike times of all neurons and their extracellular waveforms, behavior, electrode locations determined from post-operative MRI scans, demographics, and the stimuli shown. As technical validation, we provide spike sorting quality metrics and assessment of tuning of cells to verify the presence of visually-and memory selective cells. We also provide analysis code that reproduces key scientific findings published previously on a smaller version of this dataset. Together, this large dataset will facilitate the investigation of the neural mechanism of declarative memory by providing a substantial number of hard to obtain human single-neuron recordings during a well characterized behavioral task.
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Affiliation(s)
- Mailys C. M. Faraut
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - April A. Carlson
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Shannon Sullivan
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Oana Tudusciuc
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Ian Ross
- Department of Neurosurgery, Huntington Memorial Hospital, Pasadena, CA 91125, USA
| | - Chrystal M. Reed
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Jeffrey M. Chung
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Adam N Mamelak
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Ueli Rutishauser
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Computation and Neural Systems Program, California Institute of Technology, Pasadena, CA 91125, USA
- Center for Neural Science and Medicine, Department of Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
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39
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Reversible Silencing of the Frontopolar Cortex Selectively Impairs Metacognitive Judgment on Non-experience in Primates. Neuron 2018; 97:980-989.e6. [DOI: 10.1016/j.neuron.2017.12.040] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 11/04/2017] [Accepted: 12/22/2017] [Indexed: 01/24/2023]
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Sreekumar V, Wittig JH, Sheehan TC, Zaghloul KA. Principled Approaches to Direct Brain Stimulation for Cognitive Enhancement. Front Neurosci 2017; 11:650. [PMID: 29249927 PMCID: PMC5714894 DOI: 10.3389/fnins.2017.00650] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Accepted: 11/08/2017] [Indexed: 11/13/2022] Open
Abstract
In this brief review, we identify key areas of research that inform a systematic and targeted approach for invasive brain stimulation with the goal of modulating higher cognitive functions such as memory. We outline several specific challenges that must be successfully navigated in order to achieve this goal. Specifically, using direct brain stimulation to support memory requires demonstrating that (1) there are reliable neural patterns corresponding to different events and memory states, (2) stimulation can be used to induce these target activity patterns, and (3) inducing such patterns modulates memory in the expected directions. Invasive stimulation studies typically have not taken into account intrinsic brain states and dynamics, nor have they a priori targeted specific neural patterns that have previously been identified as playing an important role in memory. Moreover, the effects of stimulation on neural activity are poorly understood and are sensitive to multiple factors including the specific stimulation parameters, the processing state of the brain at the time of stimulation, and neuroanatomy of the stimulated region. As a result, several studies have reported conflicting results regarding the use of direct stimulation for memory modulation. Here, we review the latest findings relevant to these issues and discuss how we can gain better control over the effects of direct brain stimulation for modulating human memory and cognition.
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Affiliation(s)
| | | | | | - Kareem A. Zaghloul
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
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Galvan A, Stauffer WR, Acker L, El-Shamayleh Y, Inoue KI, Ohayon S, Schmid MC. Nonhuman Primate Optogenetics: Recent Advances and Future Directions. J Neurosci 2017; 37:10894-10903. [PMID: 29118219 PMCID: PMC5678022 DOI: 10.1523/jneurosci.1839-17.2017] [Citation(s) in RCA: 90] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Revised: 09/29/2017] [Accepted: 10/02/2017] [Indexed: 12/19/2022] Open
Abstract
Optogenetics is the use of genetically coded, light-gated ion channels or pumps (opsins) for millisecond resolution control of neural activity. By targeting opsin expression to specific cell types and neuronal pathways, optogenetics can expand our understanding of the neural basis of normal and pathological behavior. To maximize the potential of optogenetics to study human cognition and behavior, optogenetics should be applied to the study of nonhuman primates (NHPs). The homology between NHPs and humans makes these animals the best experimental model for understanding human brain function and dysfunction. Moreover, for genetic tools to have translational promise, their use must be demonstrated effectively in large, wild-type animals such as Rhesus macaques. Here, we review recent advances in primate optogenetics. We highlight the technical hurdles that have been cleared, challenges that remain, and summarize how optogenetic experiments are expanding our understanding of primate brain function.
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Affiliation(s)
- Adriana Galvan
- Yerkes National Primate Research Center and Department of Neurology, School of Medicine, Emory University, Atlanta, Georgia 30329,
| | - William R Stauffer
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261
| | - Leah Acker
- Department of Anesthesiology, Duke University Medical Center, Durham, North Carolina 27710
| | - Yasmine El-Shamayleh
- Department of Physiology and Biophysics, Washington National Primate Research Center, University of Washington, Seattle, Washington 98195
| | - Ken-Ichi Inoue
- Department of Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Aichi 484-8506, Japan
- PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan
| | - Shay Ohayon
- McGovern Institute for Brain Research, Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, and
| | - Michael C Schmid
- Institute of Neuroscience, Newcastle University, Newcastle, United Kingdom NE2 4HH
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