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Rollin IZ, Papoti D, Bishop M, Szczupak D, Corigliano MR, Hitchens TK, Zhang B, Pell SKA, Guretse SS, Dureux A, Murai T, Sukoff Rizzo SJ, Klassen LM, Zeman P, Gilbert KM, Menon RS, Lin MK, Everling S, Silva AC, Schaeffer DJ. An Open Access Resource for Marmoset Neuroscientific Apparatus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.11.12.623252. [PMID: 39605348 PMCID: PMC11601486 DOI: 10.1101/2024.11.12.623252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
The use of the common marmoset (Callithrix jacchus) for neuroscientific inquiry has grown precipitously over the past two decades. Despite windfalls of grant support from funding initiatives in North America, Europe, and Asia to model human brain diseases in the marmoset, marmoset-specific apparatus are of sparse availability from commercial vendors and thus are often developed and reside within individual laboratories. Through our collective research efforts, we have designed and vetted myriad designs for awake or anesthetized magnetic resonance imaging (MRI), positron emission tomography (PET), computed tomography (CT), as well as focused ultrasound (FUS), electrophysiology, optical imaging, surgery, and behavior in marmosets across the age-span. This resource makes these designs openly available, reducing the burden of de novo development across the marmoset field. The computer-aided-design (CAD) files are publicly available through the Marmoset Brain Connectome (MBC) resource (https://www.marmosetbrainconnectome.org/apparatus/) and include dozens of downloadable CAD assemblies, software and online calculators for marmoset neuroscience. In addition, we make available a variety of vetted touchscreen and task-based fMRI code and stimuli. Here, we highlight the online interface and the development and validation of a few yet unpublished resources: Software to automatically extract the head morphology of a marmoset from a CT and produce a 3D printable helmet for awake neuroimaging, and the design and validation of 8-channel and 14-channel receive arrays for imaging deep structures during anatomical and functional MRI.
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Affiliation(s)
- Isabela Zimmermann Rollin
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, PA, USA
| | - Daniel Papoti
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Departamento de Física, Universidade Federal de São Carlos, São Carlos, Brazil
| | - Mitchell Bishop
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Diego Szczupak
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Michael R. Corigliano
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - T. Kevin Hitchens
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Bei Zhang
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, PA, USA
| | - Sarah K. A. Pell
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Simeon S. Guretse
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Audrey Dureux
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Takeshi Murai
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Stacey J. Sukoff Rizzo
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - L. Martyn Klassen
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Peter Zeman
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Kyle M. Gilbert
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Ravi S. Menon
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Meng-Kuan Lin
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Stefan Everling
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Afonso C. Silva
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - David J. Schaeffer
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Swanson School of Engineering, Pittsburgh, PA, USA
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2
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Xiao G, Cai Y, Zhang Y, Xie J, Wu L, Xie H, Wu J, Dai Q. Mesoscale neuronal granular trial variability in vivo illustrated by nonlinear recurrent network in silico. Nat Commun 2024; 15:9894. [PMID: 39548098 PMCID: PMC11567969 DOI: 10.1038/s41467-024-54346-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 11/06/2024] [Indexed: 11/17/2024] Open
Abstract
Large-scale neural recording with single-neuron resolution has revealed the functional complexity of the neural systems. However, even under well-designed task conditions, the cortex-wide network exhibits highly dynamic trial variability, posing challenges to the conventional trial-averaged analysis. To study mesoscale trial variability, we conducted a comparative study between fluorescence imaging of layer-2/3 neurons in vivo and network simulation in silico. We imaged up to 40,000 cortical neurons' triggered responses by deep brain stimulus (DBS). And we build an in silico network to reproduce the biological phenomena we observed in vivo. We proved the existence of ineluctable trial variability and found it influenced by input amplitude and range. Moreover, we demonstrated that a spatially heterogeneous coding community accounts for more reliable inter-trial coding despite single-unit trial variability. A deeper understanding of trial variability from the perspective of a dynamical system may lead to uncovering intellectual abilities such as parallel coding and creativity.
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Affiliation(s)
- Guihua Xiao
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Yeyi Cai
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Yuanlong Zhang
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Jingyu Xie
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Lifan Wu
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Hao Xie
- Department of Automation, Tsinghua University, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China
| | - Jiamin Wu
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.
- Department of Automation, Tsinghua University, Beijing, China.
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China.
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
| | - Qionghai Dai
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.
- Department of Automation, Tsinghua University, Beijing, China.
- Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China.
- IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
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3
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Huang S, Rizzo D, Wu SJ, Xu Q, Ziane L, Alghamdi N, Stafford DA, Daigle TL, Tasic B, Zeng H, Ibrahim LA, Fishell G. Neurogliaform Cells Exhibit Laminar-specific Responses in the Visual Cortex and Modulate Behavioral State-dependent Cortical Activity. RESEARCH SQUARE 2024:rs.3.rs-4530873. [PMID: 39011116 PMCID: PMC11247929 DOI: 10.21203/rs.3.rs-4530873/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Neurogliaform cells are a distinct type of GABAergic cortical interneurons known for their 'volume transmission' output property. However, their activity and function within cortical circuits remain unclear. Here, we developed two genetic tools to target these neurons and examine their function in the primary visual cortex. We found that the spontaneous activity of neurogliaform cells positively correlated with locomotion. Silencing these neurons increased spontaneous activity during locomotion and impaired visual responses in L2/3 pyramidal neurons. Furthermore, the contrast-dependent visual response of neurogliaform cells varies with their laminar location and is constrained by their morphology and input connectivity. These findings demonstrate the importance of neurogliaform cells in regulating cortical behavioral state-dependent spontaneous activity and indicate that their functional engagement during visual stimuli is influenced by their laminar positioning and connectivity.
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Affiliation(s)
- Shuhan Huang
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Program in Neuroscience, Harvard University, Cambridge, MA 02138, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniella Rizzo
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sherry Jingjing Wu
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Qing Xu
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
- Past address: Center for Genomics & Systems Biology, New York University Abu Dhabi, Abu Dhabi, UAE
| | - Leena Ziane
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Norah Alghamdi
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
| | - David A Stafford
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Tanya L Daigle
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Bosiljka Tasic
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Leena Ali Ibrahim
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
| | - Gord Fishell
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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4
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Huang S, Rizzo D, Wu SJ, Xu Q, Ziane L, Alghamdi N, Stafford DA, Daigle TL, Tasic B, Zeng H, Ibrahim LA, Fishell G. Neurogliaform Cells Exhibit Laminar-specific Responses in the Visual Cortex and Modulate Behavioral State-dependent Cortical Activity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.05.597539. [PMID: 38895403 PMCID: PMC11185653 DOI: 10.1101/2024.06.05.597539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Neurogliaform cells are a distinct type of GABAergic cortical interneurons known for their "volume transmission" output property. However, their activity and function within cortical circuits remain unclear. Here, we developed two genetic tools to target these neurons and examine their function in the primary visual cortex. We found that the spontaneous activity of neurogliaform cells positively correlated with locomotion. Silencing these neurons increased spontaneous activity during locomotion and impaired visual responses in L2/3 pyramidal neurons. Furthermore, the contrast-dependent visual response of neurogliaform cells varies with their laminar location and is constrained by their morphology and input connectivity. These findings demonstrate the importance of neurogliaform cells in regulating cortical behavioral state-dependent spontaneous activity and indicate that their functional engagement during visual stimuli is influenced by their laminar positioning and connectivity.
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Affiliation(s)
- Shuhan Huang
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Program in Neuroscience, Harvard University, Cambridge, MA 02138, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Daniella Rizzo
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sherry Jingjing Wu
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Qing Xu
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
- Past address: Center for Genomics & Systems Biology, New York University Abu Dhabi, Abu Dhabi, UAE
| | - Leena Ziane
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Norah Alghamdi
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
| | - David A Stafford
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94708, USA
| | - Tanya L Daigle
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Bosiljka Tasic
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Leena Ali Ibrahim
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia
| | - Gord Fishell
- Harvard Medical School, Blavatnik Institute, Department of Neurobiology, Boston, MA 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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5
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Song X, Guo Y, Chen C, Lee JH, Wang X. Tonotopic organization of auditory cortex in awake marmosets revealed by multi-modal wide-field optical imaging. CURRENT RESEARCH IN NEUROBIOLOGY 2024; 6:100132. [PMID: 38799765 PMCID: PMC11127206 DOI: 10.1016/j.crneur.2024.100132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 05/06/2024] [Accepted: 05/08/2024] [Indexed: 05/29/2024] Open
Abstract
Tonotopic organization of the auditory cortex has been extensively studied in many mammalian species using various methodologies and physiological preparations. Tonotopy mapping in primates, however, is more limited due to constraints such as cortical folding, use of anesthetized subjects, and mapping methodology. Here we applied a combination of through-skull and through-window intrinsic optical signal imaging, wide-field calcium imaging, and neural probe recording techniques in awake marmosets (Callithrix jacchus), a New World monkey with most of its auditory cortex located on a flat brain surface. Coarse tonotopic gradients, including a recently described rostral-temporal (RT) to parabelt gradient, were revealed by the through-skull imaging of intrinsic optical signals and were subsequently validated by single-unit recording. Furthermore, these tonotopic gradients were observed with more detail through chronically implanted cranial windows with additional verifications on the experimental design. Moreover, the tonotopy mapped by the intrinsic-signal imaging methods was verified by wide-field calcium imaging in an AAV-GCaMP labeled subject. After these validations and with further effort to expand the field of view more rostrally in both windowed and through-skull subjects, an additional putative tonotopic gradient was observed more rostrally to the area RT, which has not been previously described by the standard model of tonotopic organization of the primate auditory cortex. Together, these results provide the most comprehensive data of tonotopy mapping in an awake primate species with unprecedented coverage and details in the rostral proportion and support a caudal-rostrally arranged mesoscale organization of at least three repeats of functional gradients in the primate auditory cortex, similar to the ventral stream of primate visual cortex.
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Affiliation(s)
- Xindong Song
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Institute of Automation, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, China
| | - Yueqi Guo
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Chenggang Chen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jong Hoon Lee
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Biological Sciences, KAIST, Daejeon, 34141, South Korea
| | - Xiaoqin Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
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6
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Dotson NM, Davis ZW, Jendritza P, Reynolds JH. Acute Neuropixels Recordings in the Marmoset Monkey. eNeuro 2024; 11:ENEURO.0544-23.2024. [PMID: 38658139 PMCID: PMC11129777 DOI: 10.1523/eneuro.0544-23.2024] [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: 12/21/2023] [Revised: 04/03/2024] [Accepted: 04/10/2024] [Indexed: 04/26/2024] Open
Abstract
High-density linear probes, such as Neuropixels, provide an unprecedented opportunity to understand how neural populations within specific laminar compartments contribute to behavior. Marmoset monkeys, unlike macaque monkeys, have a lissencephalic (smooth) cortex that enables recording perpendicular to the cortical surface, thus making them an ideal animal model for studying laminar computations. Here we present a method for acute Neuropixels recordings in the common marmoset (Callithrix jacchus). The approach replaces the native dura with an artificial silicon-based dura that grants visual access to the cortical surface, which is helpful in avoiding blood vessels, ensures perpendicular penetrations, and could be used in conjunction with optical imaging or optogenetic techniques. The chamber housing the artificial dura is simple to maintain with minimal risk of infection and could be combined with semichronic microdrives and wireless recording hardware. This technique enables repeated acute penetrations over a period of several months. With occasional removal of tissue growth on the pial surface, recordings can be performed for a year or more. The approach is fully compatible with Neuropixels probes, enabling the recording of hundreds of single neurons distributed throughout the cortical column.
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Affiliation(s)
- Nicholas M Dotson
- The Salk Institute for Biological Studies, La Jolla, California 92037
| | - Zachary W Davis
- The Salk Institute for Biological Studies, La Jolla, California 92037
- Department of Ophthalmology and Visual Sciences, John Moran Eye Center, University of Utah, Salt Lake City, Utah 84132
| | - Patrick Jendritza
- The Salk Institute for Biological Studies, La Jolla, California 92037
| | - John H Reynolds
- The Salk Institute for Biological Studies, La Jolla, California 92037
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7
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Dotson NM, Davis ZW, Jendritza P, Reynolds JH. Acute Neuropixels recordings in the marmoset monkey. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.14.571771. [PMID: 38168386 PMCID: PMC10760116 DOI: 10.1101/2023.12.14.571771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
High-density linear probes, like Neuropixels, provide an unprecedented opportunity to understand how neural populations within specific laminar compartments contribute to behavior. Marmoset monkeys, unlike macaque monkeys, have a lissencephalic (smooth) cortex that enables recording perpendicular to the cortical surface, thus making them an ideal animal model for studying laminar computations. Here we present a method for acute Neuropixels recordings in the common marmoset (Callithrix jacchus). The approach replaces the native dura with an artificial silicon-based dura that grants visual access to the cortical surface, which is helpful in avoiding blood vessels, ensures perpendicular penetrations, and could be used in conjunction with optical imaging or optogenetic techniques. The chamber housing the artificial dura is simple to maintain with minimal risk of infection and could be combined with semi-chronic microdrives and wireless recording hardware. This technique enables repeated acute penetrations over a period of several months. With occasional removal of tissue growth on the pial surface, recordings can be performed for a year or more. The approach is fully compatible with Neuropixels probes, enabling the recording of hundreds of single neurons distributed throughout the cortical column.
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Affiliation(s)
| | - Zachary W Davis
- The Salk Institute for Biological Studies, La Jolla, California
- Department of Ophthalmology and Vision Science, University of Utah, Salt Lake City, Utah
| | | | - John H Reynolds
- The Salk Institute for Biological Studies, La Jolla, California
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8
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Obara K, Ebina T, Terada SI, Uka T, Komatsu M, Takaji M, Watakabe A, Kobayashi K, Masamizu Y, Mizukami H, Yamamori T, Kasai K, Matsuzaki M. Change detection in the primate auditory cortex through feedback of prediction error signals. Nat Commun 2023; 14:6981. [PMID: 37957168 PMCID: PMC10643402 DOI: 10.1038/s41467-023-42553-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 10/13/2023] [Indexed: 11/15/2023] Open
Abstract
Although cortical feedback signals are essential for modulating feedforward processing, no feedback error signal across hierarchical cortical areas has been reported. Here, we observed such a signal in the auditory cortex of awake common marmoset during an oddball paradigm to induce auditory duration mismatch negativity. Prediction errors to a deviant tone presentation were generated as offset calcium responses of layer 2/3 neurons in the rostral parabelt (RPB) of higher-order auditory cortex, while responses to non-deviant tones were strongly suppressed. Within several hundred milliseconds, the error signals propagated broadly into layer 1 of the primary auditory cortex (A1) and accumulated locally on top of incoming auditory signals. Blockade of RPB activity prevented deviance detection in A1. Optogenetic activation of RPB following tone presentation nonlinearly enhanced A1 tone response. Thus, the feedback error signal is critical for automatic detection of unpredicted stimuli in physiological auditory processing and may serve as backpropagation-like learning.
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Affiliation(s)
- Keitaro Obara
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
- Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Teppei Ebina
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Shin-Ichiro Terada
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Takanori Uka
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Yamanashi, 409-3898, Japan
| | - Misako Komatsu
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Masafumi Takaji
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Laboratory for Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Akiya Watakabe
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Laboratory for Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Kenta Kobayashi
- Section of Viral Vector Development, National Institute for Physiological Sciences, Aichi, 444-8585, Japan
| | - Yoshito Masamizu
- Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Hiroaki Mizukami
- Division of Genetic Therapeutics, Center for Molecular Medicine, Jichi Medical University, Tochigi, 329-0498, Japan
| | - Tetsuo Yamamori
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Laboratory for Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Central Institute of Experimental Animals, Kanagawa, 210-0821, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, Tokyo, 113-0033, Japan
| | - Masanori Matsuzaki
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan.
- Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, 351-0198, Japan.
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, Tokyo, 113-0033, Japan.
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9
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Jafari A, Dureux A, Zanini A, Menon RS, Gilbert KM, Everling S. A vocalization-processing network in marmosets. Cell Rep 2023; 42:112526. [PMID: 37195863 DOI: 10.1016/j.celrep.2023.112526] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/31/2023] [Accepted: 05/02/2023] [Indexed: 05/19/2023] Open
Abstract
Vocalizations play an important role in the daily life of primates and likely form the basis of human language. Functional imaging studies have demonstrated that listening to voices activates a fronto-temporal voice perception network in human participants. Here, we acquired whole-brain ultrahigh-field (9.4 T) fMRI in awake marmosets (Callithrix jacchus) and demonstrate that these small, highly vocal New World primates possess a similar fronto-temporal network, including subcortical regions, that is activated by the presentation of conspecific vocalizations. The findings suggest that the human voice perception network has evolved from an ancestral vocalization-processing network that predates the separation of New and Old World primates.
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Affiliation(s)
- Azadeh Jafari
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Audrey Dureux
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Alessandro Zanini
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Ravi S Menon
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Kyle M Gilbert
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Stefan Everling
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, ON, Canada; Department of Physiology and Pharmacology, University of Western Ontario, London, ON, Canada.
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10
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Chen C, Remington ED, Wang X. Sound localization acuity of the common marmoset (Callithrix jacchus). Hear Res 2023; 430:108722. [PMID: 36863289 DOI: 10.1016/j.heares.2023.108722] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 02/03/2023] [Accepted: 02/10/2023] [Indexed: 02/14/2023]
Abstract
The common marmoset (Callithrix jacchus) is a small arboreal New World primate which has emerged as a promising model in auditory neuroscience. One potentially useful application of this model system is in the study of the neural mechanism underlying spatial hearing in primate species, as the marmosets need to localize sounds to orient their head to events of interest and identify their vocalizing conspecifics that are not visible. However, interpretation of neurophysiological data on sound localization requires an understanding of perceptual abilities, and the sound localization behavior of marmosets has not been well studied. The present experiment measured sound localization acuity using an operant conditioning procedure in which marmosets were trained to discriminate changes in sound location in the horizontal (azimuth) or vertical (elevation) dimension. Our results showed that the minimum audible angle (MAA) for horizontal and vertical discrimination was 13.17° and 12.53°, respectively, for 2 to 32 kHz Gaussian noise. Removing the monaural spectral cues tended to increase the horizontal localization acuity (11.31°). Marmosets have larger horizontal MAA (15.54°) in the rear than the front. Removing the high-frequency (> 26 kHz) region of the head-related transfer function (HRTF) affected vertical acuity mildly (15.76°), but removing the first notch (12-26 kHz) region of HRTF substantially reduced the vertical acuity (89.01°). In summary, our findings indicate that marmosets' spatial acuity is on par with other species of similar head size and field of best vision, and they do not appear to use monaural spectral cues for horizontal discrimination but rely heavily on first notch region of HRTF for vertical discrimination.
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Affiliation(s)
- Chenggang Chen
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, 720 Rutland Ave., Traylor 410, Baltimore, MD 21025, United States
| | - Evan D Remington
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, 720 Rutland Ave., Traylor 410, Baltimore, MD 21025, United States
| | - Xiaoqin Wang
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, 720 Rutland Ave., Traylor 410, Baltimore, MD 21025, United States.
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Racicot I, Muslimov E, Chemla S, Blaize K, Ferrari M, Chavane F. High resolution, wide field optical imaging of macaque visual cortex with a curved detector. J Neural Eng 2022; 19. [PMID: 36347038 DOI: 10.1088/1741-2552/aca123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/08/2022] [Indexed: 11/09/2022]
Abstract
Objective. Cortical activity can be recorded using a variety of tools, ranging in scale from the single neuron (microscopic) to the whole brain (macroscopic). There is usually a trade-off between scale and resolution; optical imaging techniques, with their high spatio-temporal resolution and wide field of view, are best suited to study brain activity at the mesoscale. Optical imaging of cortical areas is however in practice limited by the curvature of the brain, which causes the image quality to deteriorate significantly away from the center of the image.Approach. To address this issue and harness the full potential of optical cortical imaging techniques, we developed a new wide-field optical imaging system adapted to the macaque brain. Our system is composed of a curved detector, an aspherical lens and a ring composed of light emitting diodes providing uniform illumination at wavelengths relevant for the different optical imaging methods, including intrinsic and fluorescence imaging.Main results. The system was characterized and compared with the standard macroscope used for cortical imaging, and a three-fold increase of the area in focus was measured as well as a four-fold increase in the evenness of the optical qualityin vivo.Significance. This new instrument, which is to the best of our knowledge the first use of a curved detector for cortical imaging, should facilitate the observation of wide mesoscale phenomena such as dynamic propagating waves within and between cortical maps, which are otherwise difficult to observe due to technical limitations of the currently available recording tools.
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Affiliation(s)
- Isabelle Racicot
- Laboratoire d'Astrophysique de Marseille: Aix-Marseille Univ, CNRS, CNES, LAM, Marseille, France.,Institut de Neurosciences de la Timone: Aix-Marseille Univ, CNRS, INT, Marseille, France
| | - Eduard Muslimov
- Laboratoire d'Astrophysique de Marseille: Aix-Marseille Univ, CNRS, CNES, LAM, Marseille, France.,Kazan National Research Technical University named after A.N. Tupolev KAI, 10 K. Marx, Kazan 420111, Russia.,NOVA Optical IR Instrumentation Group at ASTRON Oude Hoogeveensedijk 4, 7991 PD Dwingeloo, The Netherlands
| | - Sandrine Chemla
- Institut de Neurosciences de la Timone: Aix-Marseille Univ, CNRS, INT, Marseille, France
| | - Kévin Blaize
- Institut de Neurosciences de la Timone: Aix-Marseille Univ, CNRS, INT, Marseille, France
| | - Marc Ferrari
- Laboratoire d'Astrophysique de Marseille: Aix-Marseille Univ, CNRS, CNES, LAM, Marseille, France
| | - Frédéric Chavane
- Institut de Neurosciences de la Timone: Aix-Marseille Univ, CNRS, INT, Marseille, France
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12
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Song X, Guo Y, Li H, Chen C, Lee JH, Zhang Y, Schmidt Z, Wang X. Mesoscopic landscape of cortical functions revealed by through-skull wide-field optical imaging in marmoset monkeys. Nat Commun 2022; 13:2238. [PMID: 35474064 PMCID: PMC9042927 DOI: 10.1038/s41467-022-29864-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 04/04/2022] [Indexed: 12/15/2022] Open
Abstract
The primate cerebral cortex is organized into specialized areas representing different modalities and functions along a continuous surface. The functional maps across the cortex, however, are often investigated a single modality at a time (e.g., audition or vision). To advance our understanding of the complex landscape of primate cortical functions, here we develop a polarization-gated wide-field optical imaging method for measuring cortical functions through the un-thinned intact skull in awake marmoset monkeys (Callithrix jacchus), a primate species featuring a smooth cortex. Using this method, adjacent auditory, visual, and somatosensory cortices are noninvasively parcellated in individual subjects with detailed tonotopy, retinotopy, and somatotopy. An additional pure-tone-responsive tonotopic gradient is discovered in auditory cortex and a face-patch sensitive to motion in the lower-center visual field is localized near an auditory region representing frequencies of conspecific vocalizations. This through-skull landscape-mapping approach provides new opportunities for understanding how the primate cortex is organized and coordinated to enable real-world behaviors.
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Affiliation(s)
- Xindong Song
- grid.21107.350000 0001 2171 9311Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Yueqi Guo
- grid.21107.350000 0001 2171 9311Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Hongbo Li
- grid.21107.350000 0001 2171 9311Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Chenggang Chen
- grid.21107.350000 0001 2171 9311Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Jong Hoon Lee
- grid.21107.350000 0001 2171 9311Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Yang Zhang
- grid.21107.350000 0001 2171 9311Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Zachary Schmidt
- grid.21107.350000 0001 2171 9311Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Xiaoqin Wang
- grid.21107.350000 0001 2171 9311Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
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