1
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Takemura H, Kaneko T, Sherwood CC, Johnson GA, Axer M, Hecht EE, Ye FQ, Leopold DA. A prominent vertical occipital white matter fasciculus unique to primate brains. Curr Biol 2024; 34:3632-3643.e4. [PMID: 38991613 PMCID: PMC11338705 DOI: 10.1016/j.cub.2024.06.034] [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: 02/18/2024] [Revised: 06/09/2024] [Accepted: 06/11/2024] [Indexed: 07/13/2024]
Abstract
Vision in humans and other primates enlists parallel processing streams in the dorsal and ventral visual cortex, known to support spatial and object processing, respectively. These streams are bridged, however, by a prominent white matter tract, the vertical occipital fasciculus (VOF), identified in both classical neuroanatomy and recent diffusion-weighted magnetic resonance imaging (dMRI) studies. Understanding the evolution of the VOF may shed light on its origin, function, and role in visually guided behaviors. To this end, we acquired high-resolution dMRI data from the brains of select mammalian species, including anthropoid and strepsirrhine primates, a tree shrew, rodents, and carnivores. In each species, we attempted to delineate the VOF after first locating the optic radiations in the occipital white matter. In all primate species examined, the optic radiation was flanked laterally by a prominent and coherent white matter fasciculus recognizable as the VOF. By contrast, the equivalent analysis applied to four non-primate species from the same superorder as primates (tree shrew, ground squirrel, paca, and rat) failed to reveal white matter tracts in the equivalent location. Clear evidence for a VOF was also absent in two larger carnivore species (ferret and fox). Although we cannot rule out the existence of minor or differently organized homologous fiber pathways in the non-primate species, the results suggest that the VOF has greatly expanded, or possibly emerged, in the primate lineage. This adaptation likely facilitated the evolution of unique visually guided behaviors in primates, with direct impacts on manual object manipulation, social interactions, and arboreal locomotion.
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Affiliation(s)
- Hiromasa Takemura
- Division of Sensory and Cognitive Brain Mapping, Department of System Neuroscience, National Institute for Physiological Sciences, 38 Nishigonaka Myodaiji, Okazaki-shi, Aichi 444-8585, Japan; The Graduate Institute for Advanced Studies, SOKENDAI, Shonan Village, Hayama-cho, Kanagawa 240-0193, Japan; Center for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology, 1-4 Yamadaoka, Suita-shi, Osaka 565-0871, Japan.
| | - Takaaki Kaneko
- Center for the Evolutionary Origins of Human Behavior, Kyoto University, 41-2 Kanrin, Inuyama-shi, Aichi 484-8506, Japan; Division of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Sciences, 38 Nishigonaka Myodaiji, Okazaki-shi, Aichi, Japan
| | - Chet C Sherwood
- Department of Anthropology, The George Washington University, 800 22nd St. NW, Washington, DC 20052, USA
| | - G Allan Johnson
- Department of Radiology, Duke Center for In Vivo Microscopy, Duke Medical Center, 311 Research Drive, Durham, NC 27710, USA; Department of Biomedical Engineering, Duke University, 101 Science Dive., Durham, NC 27705, USA
| | - Markus Axer
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich 52425, Germany; Department of Physics, School of Mathematics and Natural Sciences, University of Wuppertal, Gaußstraße 20 42119, Wuppertal, Germany
| | - Erin E Hecht
- Department of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, MA 02138, USA
| | - Frank Q Ye
- Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, National Institutes of Health, Bethesda, MD 20814, USA
| | - David A Leopold
- Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, National Institutes of Health, Bethesda, MD 20814, USA; Systems Neurodevelopment Laboratory, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20814, USA.
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2
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Sogabe K, Hata J, Yoshimaru D, Hagiya K, Okano HJ, Okano H. Structural MRI analysis of age-related changes and sex differences in marmoset brain volume. Neurosci Res 2024:S0168-0102(24)00053-1. [PMID: 38636670 DOI: 10.1016/j.neures.2024.04.003] [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: 10/18/2023] [Revised: 04/07/2024] [Accepted: 04/09/2024] [Indexed: 04/20/2024]
Abstract
The field of aging biology, which aims to extend healthy lifespans and prevent age-related diseases, has turned its focus to the Callithrix jacchus (common marmoset) to understand the aging process better. This study utilized magnetic resonance imaging (MRI) to non-invasively analyze the brains of 216 marmosets, investigating age-related changes in brain structure; the relationship between body weight and brain volume; and potential differences between males and females. The key findings revealed that, similar to humans, Callithrix jacchus experiences a reduction in total intracranial volume, cortex, subcortex, thalamus, and cingulate volumes as they age, highlighting site-dependent changes in brain tissue. Notably, the study also uncovered sex differences in cerebellar volume. These insights into the structural connectivity and volumetric changes in the marmoset brain throughout aging contribute to accumulating valuable knowledge in the field, promising to inform future aging research and interventions for enhancing healthspan.
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Affiliation(s)
- Kazumi Sogabe
- The Jikei University School of Medicine, Japan; Teikyo University Faculty of Medical Technology, Japan
| | - Junichi Hata
- The Jikei University School of Medicine, Japan; Tokyo Metropolitan University, Japan
| | - Daisuke Yoshimaru
- The Jikei University School of Medicine, Japan; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan
| | - Kei Hagiya
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan
| | - Hirotaka James Okano
- The Jikei University School of Medicine, Japan; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan.
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, Japan; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan; Keio University Regenerative Medicine Research Center 3-25-10 Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, 210-0821, Japan.
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3
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Muta K, Haga Y, Hata J, Kaneko T, Hagiya K, Komaki Y, Seki F, Yoshimaru D, Nakae K, Woodward A, Gong R, Kishi N, Okano H. Commonality and variance of resting-state networks in common marmoset brains. Sci Rep 2024; 14:8316. [PMID: 38594386 PMCID: PMC11004137 DOI: 10.1038/s41598-024-58799-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: 12/09/2023] [Accepted: 04/03/2024] [Indexed: 04/11/2024] Open
Abstract
Animal models of brain function are critical for the study of human diseases and development of effective interventions. Resting-state network (RSN) analysis is a powerful tool for evaluating brain function and performing comparisons across animal species. Several studies have reported RSNs in the common marmoset (Callithrix jacchus; marmoset), a non-human primate. However, it is necessary to identify RSNs and evaluate commonality and inter-individual variance through analyses using a larger amount of data. In this study, we present marmoset RSNs detected using > 100,000 time-course image volumes of resting-state functional magnetic resonance imaging data with careful preprocessing. In addition, we extracted brain regions involved in the composition of these RSNs to understand the differences between humans and marmosets. We detected 16 RSNs in major marmosets, three of which were novel networks that have not been previously reported in marmosets. Since these RSNs possess the potential for use in the functional evaluation of neurodegenerative diseases, the data in this study will significantly contribute to the understanding of the functional effects of neurodegenerative diseases.
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Affiliation(s)
- Kanako Muta
- Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Saitama, Japan
| | - Yawara Haga
- Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Saitama, Japan
- Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan
| | - Junichi Hata
- Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Saitama, Japan
- Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Takaaki Kaneko
- Division of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Science, Aichi, Japan
| | - Kei Hagiya
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Saitama, Japan
| | - Yuji Komaki
- Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Fumiko Seki
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Saitama, Japan
- Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Daisuke Yoshimaru
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Saitama, Japan
- Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Ken Nakae
- Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Aichi, Japan
| | - Alexander Woodward
- Connectome Analysis Unit, Center for Brain Science, RIKEN, Saitama, Japan
| | - Rui Gong
- Connectome Analysis Unit, Center for Brain Science, RIKEN, Saitama, Japan
| | - Noriyuki Kishi
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Saitama, Japan
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Hideyuki Okano
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Saitama, Japan.
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan.
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Saleem KS, Avram AV, Glen D, Schram V, Basser PJ. The Subcortical Atlas of the Marmoset ("SAM") monkey based on high-resolution MRI and histology. Cereb Cortex 2024; 34:bhae120. [PMID: 38647221 DOI: 10.1093/cercor/bhae120] [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: 01/09/2024] [Revised: 03/07/2024] [Accepted: 03/07/2024] [Indexed: 04/25/2024] Open
Abstract
A comprehensive three-dimensional digital brain atlas of cortical and subcortical regions based on MRI and histology has a broad array of applications in anatomical, functional, and clinical studies. We first generated a Subcortical Atlas of the Marmoset, called the "SAM," from 251 delineated subcortical regions (e.g. thalamic subregions, etc.) derived from high-resolution Mean Apparent Propagator-MRI, T2W, and magnetization transfer ratio images ex vivo. We then confirmed the location and borders of these segmented regions in the MRI data using matched histological sections with multiple stains obtained from the same specimen. Finally, we estimated and confirmed the atlas-based areal boundaries of subcortical regions by registering this ex vivo atlas template to in vivo T1- or T2W MRI datasets of different age groups (single vs. multisubject population-based marmoset control adults) using a novel pipeline developed within Analysis of Functional NeuroImages software. Tracing and validating these important deep brain structures in 3D will improve neurosurgical planning, anatomical tract tracer injections, navigation of deep brain stimulation probes, functional MRI and brain connectivity studies, and our understanding of brain structure-function relationships. This new ex vivo template and atlas are available as volumes in standard NIFTI and GIFTI file formats and are intended for use as a reference standard for marmoset brain research.
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Affiliation(s)
- Kadharbatcha S Saleem
- Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institute of Health (NIH), 13, South Drive, Bethesda, MD 20892, United States
- Military Traumatic Brain Injury Initiative (MTBI2), Henry M. Jackson Foundation for the Advancement of Military Medicine, 6720A Rockledge Drive, Bethesda, MD 20817, United States
| | - Alexandru V Avram
- Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institute of Health (NIH), 13, South Drive, Bethesda, MD 20892, United States
| | - Daniel Glen
- Scientific and Statistical Computing Core, National Institute of Mental Health (NIMH), NIH, 10 Center Drive, Bethesda, MD 20817, United States
| | - Vincent Schram
- Microscopy and Imaging Core (MIC), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, 35 Convent Drive, Bethesda, MD 20892, United States
| | - Peter J Basser
- Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institute of Health (NIH), 13, South Drive, Bethesda, MD 20892, United States
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5
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Zhang Y, Shen SX, Bibic A, Wang X. Evolutionary continuity and divergence of auditory dorsal and ventral pathways in primates revealed by ultra-high field diffusion MRI. Proc Natl Acad Sci U S A 2024; 121:e2313831121. [PMID: 38377216 PMCID: PMC10907247 DOI: 10.1073/pnas.2313831121] [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: 08/10/2023] [Accepted: 01/22/2024] [Indexed: 02/22/2024] Open
Abstract
Auditory dorsal and ventral pathways in the human brain play important roles in supporting speech and language processing. However, the evolutionary root of the dual auditory pathways in the primate brain is unclear. By parcellating the auditory cortex of marmosets (a New World monkey species), macaques (an Old World monkey species), and humans using the same individual-based analysis method and tracking the pathways from the auditory cortex based on multi-shell diffusion-weighted MRI (dMRI), homologous auditory dorsal and ventral fiber tracks were identified in these primate species. The ventral pathway was found to be well conserved in all three primate species analyzed but extend to more anterior temporal regions in humans. In contrast, the dorsal pathway showed a divergence between monkey and human brains. First, frontal regions in the human brain have stronger connections to the higher-level auditory regions than to the lower-level auditory regions along the dorsal pathway, while frontal regions in the monkey brain show opposite connection patterns along the dorsal pathway. Second, the left lateralization of the dorsal pathway is only found in humans. Moreover, the connectivity strength of the dorsal pathway in marmosets is more similar to that of humans than macaques. These results demonstrate the continuity and divergence of the dual auditory pathways in the primate brains along the evolutionary path, suggesting that the putative neural networks supporting human speech and language processing might have emerged early in primate evolution.
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Affiliation(s)
- Yang Zhang
- Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD21205
| | - Sherry Xinyi Shen
- Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD21205
| | - Adnan Bibic
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD21205
- Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, F. M. Kirby Center, Baltimore, MD21205
| | - Xiaoqin Wang
- Laboratory of Auditory Neurophysiology, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD21205
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6
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Saleem KS, Avram AV, Glen D, Schram V, Basser PJ. The Subcortical Atlas of the Marmoset ("SAM") monkey based on high-resolution MRI and histology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.06.574429. [PMID: 38260391 PMCID: PMC10802408 DOI: 10.1101/2024.01.06.574429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
A comprehensive three-dimensional digital brain atlas of cortical and subcortical regions based on MRI and histology has a broad array of applications for anatomical, functional, and clinical studies. We first generated a Subcortical Atlas of the Marmoset, called the "SAM," from 251 delineated subcortical regions (e.g., thalamic subregions, etc.) derived from the high-resolution MAP-MRI, T2W, and MTR images ex vivo. We then confirmed the location and borders of these segmented regions in MRI data using matched histological sections with multiple stains obtained from the same specimen. Finally, we estimated and confirmed the atlas-based areal boundaries of subcortical regions by registering this ex vivo atlas template to in vivo T1- or T2W MRI datasets of different age groups (single vs. multisubject population-based marmoset control adults) using a novel pipeline developed within AFNI. Tracing and validating these important deep brain structures in 3D improves neurosurgical planning, anatomical tract tracer injections, navigation of deep brain stimulation probes, fMRI and brain connectivity studies, and our understanding of brain structure-function relationships. This new ex vivo template and atlas are available as volumes in standard NIFTI and GIFTI file formats and are intended for use as a reference standard for marmoset brain research.
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Affiliation(s)
- Kadharbatcha S Saleem
- Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD 20892
- Military Traumatic Brain Injury Initiative (MTBI), Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817
| | - Alexandru V Avram
- Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD 20892
| | - Daniel Glen
- Scientific and Statistical Computing Core, National Institute of Mental Health (NIMH)
| | - Vincent Schram
- Microscopy and Imaging Core (MIC), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD 20892
| | - Peter J Basser
- Section on Quantitative Imaging and Tissue Sciences (SQITS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD 20892
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7
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Zanini A, Dureux A, Selvanayagam J, Everling S. Ultra-high field fMRI identifies an action-observation network in the common marmoset. Commun Biol 2023; 6:553. [PMID: 37217698 DOI: 10.1038/s42003-023-04942-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 05/15/2023] [Indexed: 05/24/2023] Open
Abstract
The observation of others' actions activates a network of temporal, parietal and premotor/prefrontal areas in macaque monkeys and humans. This action-observation network (AON) has been shown to play important roles in social action monitoring, learning by imitation, and social cognition in both species. It is unclear whether a similar network exists in New-World primates, which separated from Old-Word primates ~35 million years ago. Here we used ultra-high field fMRI at 9.4 T in awake common marmosets (Callithrix jacchus) while they watched videos depicting goal-directed (grasping food) or non-goal-directed actions. The observation of goal-directed actions activates a temporo-parieto-frontal network, including areas 6 and 45 in premotor/prefrontal cortices, areas PGa-IPa, FST and TE in occipito-temporal region and areas V6A, MIP, LIP and PG in the occipito-parietal cortex. These results show overlap with the humans and macaques' AON, demonstrating the existence of an evolutionarily conserved network that likely predates the separation of Old and New-World primates.
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Affiliation(s)
- Alessandro Zanini
- 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
| | - Janahan Selvanayagam
- Department of Physiology and Pharmacology, 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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8
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Hata J, Nakae K, Tsukada H, Woodward A, Haga Y, Iida M, Uematsu A, Seki F, Ichinohe N, Gong R, Kaneko T, Yoshimaru D, Watakabe A, Abe H, Tani T, Hamda HT, Gutierrez CE, Skibbe H, Maeda M, Papazian F, Hagiya K, Kishi N, Ishii S, Doya K, Shimogori T, Yamamori T, Tanaka K, Okano HJ, Okano H. Multi-modal brain magnetic resonance imaging database covering marmosets with a wide age range. Sci Data 2023; 10:221. [PMID: 37105968 DOI: 10.1038/s41597-023-02121-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 03/29/2023] [Indexed: 04/29/2023] Open
Abstract
Magnetic resonance imaging (MRI) is a non-invasive neuroimaging technique that is useful for identifying normal developmental and aging processes and for data sharing. Marmosets have a relatively shorter life expectancy than other primates, including humans, because they grow and age faster. Therefore, the common marmoset model is effective in aging research. The current study investigated the aging process of the marmoset brain and provided an open MRI database of marmosets across a wide age range. The Brain/MINDS Marmoset Brain MRI Dataset contains brain MRI information from 216 marmosets ranging in age from 1 and 10 years. At the time of its release, it is the largest public dataset in the world. It also includes multi-contrast MRI images. In addition, 91 of 216 animals have corresponding high-resolution ex vivo MRI datasets. Our MRI database, available at the Brain/MINDS Data Portal, might help to understand the effects of various factors, such as age, sex, body size, and fixation, on the brain. It can also contribute to and accelerate brain science studies worldwide.
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Affiliation(s)
- Junichi Hata
- Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan.
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan.
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan.
- Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan.
- Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan.
| | - Ken Nakae
- Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, Aichi, Japan
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
| | - Hiromichi Tsukada
- Center for Mathematical Science and Artificial Intelligence, Chubu University, Aichi, Japan
- Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | - Alexander Woodward
- Connectome Analysis Unit, RIKEN Center for Brain Science, Saitama, Japan
| | - Yawara Haga
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan
| | - Mayu Iida
- Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Akiko Uematsu
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan
| | - Fumiko Seki
- Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan
| | - Noritaka Ichinohe
- Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Rui Gong
- Connectome Analysis Unit, RIKEN Center for Brain Science, Saitama, Japan
| | - Takaaki Kaneko
- Center for the Evolutionary Origins of Human Behavior, Kyoto University, Aichi, Japan
| | - Daisuke Yoshimaru
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
- Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan
- Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Akiya Watakabe
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, Japan
| | - Hiroshi Abe
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, Japan
| | - Toshiki Tani
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, Japan
| | - Hiro Taiyo Hamda
- Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
- Research & Development Department, Araya Inc, Tokyo, Japan
| | - Carlos Enrique Gutierrez
- Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | - Henrik Skibbe
- Brain Image Analysis Unit, RIKEN Center for Brain Science, Saitama, Japan
| | - Masahide Maeda
- Connectome Analysis Unit, RIKEN Center for Brain Science, Saitama, Japan
| | - Frederic Papazian
- Connectome Analysis Unit, RIKEN Center for Brain Science, Saitama, Japan
| | - Kei Hagiya
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan
| | - Noriyuki Kishi
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Shin Ishii
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
| | - Kenji Doya
- Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | - Tomomi Shimogori
- Laboratory for Molecular Mechanisms of Brain Development, RIKEN Center for Brain Science, Saitama, Japan
| | - Tetsuo Yamamori
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, Japan
- Laboratory of Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Saitama, Japan
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals, Kanagawa, Japan
| | - Keiji Tanaka
- Connectome Analysis Unit, RIKEN Center for Brain Science, Saitama, Japan
| | - Hirotaka James Okano
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan
- Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Hideyuki Okano
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Saitama, Japan.
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan.
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9
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Kell AJ, Bokor SL, Jeon YN, Toosi T, Issa EB. Marmoset core visual object recognition behavior is comparable to that of macaques and humans. iScience 2022; 26:105788. [PMID: 36594035 PMCID: PMC9804140 DOI: 10.1016/j.isci.2022.105788] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 10/13/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022] Open
Abstract
Among the smallest simian primates, the common marmoset offers promise as an experimentally tractable primate model for neuroscience with translational potential to humans. However, given its exceedingly small brain and body, the gap in perceptual and cognitive abilities between marmosets and humans requires study. Here, we performed a comparison of marmoset behavior to that of three other species in the domain of high-level vision. We first found that marmosets outperformed rats - a marmoset-sized rodent - on a simple recognition task, with marmosets robustly recognizing objects across views. On a more challenging invariant object recognition task used previously in humans, marmosets also achieved high performance. Notably, across hundreds of images, marmosets' image-by-image behavior was highly similar to that of humans - nearly as human-like as macaque behavior. Thus, core aspects of visual perception are conserved across monkeys and humans, and marmosets present salient behavioral advantages over other small model organisms for visual neuroscience.
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Affiliation(s)
- Alexander J.E. Kell
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA,Department of Neuroscience, Columbia University, New York, NY 10027, USA
| | - Sophie L. Bokor
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA,Department of Neuroscience, Columbia University, New York, NY 10027, USA
| | - You-Nah Jeon
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA,Department of Neuroscience, Columbia University, New York, NY 10027, USA
| | - Tahereh Toosi
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA,Department of Neuroscience, Columbia University, New York, NY 10027, USA
| | - Elias B. Issa
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA,Department of Neuroscience, Columbia University, New York, NY 10027, USA,Corresponding author
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10
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Cao X, Zhu L, Qi R, Wang X, Sun G, Ying Y, Chen R, Li X, Gao L. Effect of a High Estrogen Level in Early Pregnancy on the Development and Behavior of Marmoset Offspring. ACS OMEGA 2022; 7:36175-36183. [PMID: 36278046 PMCID: PMC9583300 DOI: 10.1021/acsomega.2c03263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
The use of assisted reproductive technology (ART) has risen steadily worldwide over the past 3 decades and helps many infertile families. However, ART treatments lead to an abnormal internal environment in the uterus, which may increase the risks of health problems for the offspring. Higher maternal estradiol (E2) is a notable feature in women who use ART treatments, and this has been suggested as a key factor for the risk of diseases in the offspring. In the current study, we have established a marmoset model with a high E2 level in early pregnancy to examine its potential risk to the development and behavior of the offspring. In comparison with the normal group, babies of the high E2 group exhibited lower average survival rates and birth weights. However, those who survived in the high E2 group demonstrated normal vocal production with rich call repertoires, normal speed during locomotion, and normal behaviors in the home cage. In contrast to the normal group, surviving babies of the high E2 group spent more time sleeping during development without signs of sleep disorders. In summary, our study revealed that high estrogen in early pregnancy may cause low survival rates and birth weights of the offspring, though the surviving infants did not show obvious behavioral deficiencies during development. The current study is a valuable and highly important non-human primate study for evaluating the safety of ART treatments. However, it is worth noting that some results did not reach the significant level, which may be due to the small sample size caused by animal shortage stemming from the COVID-19 epidemic.
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Affiliation(s)
- Xinyuan Cao
- Department
of Neurology of the Second Affiliated Hospital and Interdisciplinary
Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Hangzhou 310029, China
| | - Lin Zhu
- Department
of Neurology of the Second Affiliated Hospital and Interdisciplinary
Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Hangzhou 310029, China
| | - Runze Qi
- Department
of Neurology of the Second Affiliated Hospital and Interdisciplinary
Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Hangzhou 310029, China
| | - Xiaohui Wang
- Department
of Neurology of the Second Affiliated Hospital and Interdisciplinary
Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Hangzhou 310029, China
- Key
Laboratory of Biomedical Engineering of Ministry of Education, College
of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China
| | - Guanglong Sun
- Department
of Neurology of the Second Affiliated Hospital and Interdisciplinary
Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Hangzhou 310029, China
| | - Yue Ying
- Key
Laboratory of Reproductive Genetics (Ministry of Education), Department
of Reproductive Endocrinology, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Ruixue Chen
- Key
Laboratory of Reproductive Genetics (Ministry of Education), Department
of Reproductive Endocrinology, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Xinjian Li
- Department
of Neurology of the Second Affiliated Hospital and Interdisciplinary
Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Hangzhou 310029, China
- NHC
and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science
Center for Brain Science and Brain-machine Integration, School of
Brain Science and Brain Medicine, Zhejiang
University, Hangzhou 310058, China
- Key
Laboratory of Medical Neurobiology of Zhejiang Province, Hangzhou 310020, China
| | - Lixia Gao
- Department
of Neurology of the Second Affiliated Hospital and Interdisciplinary
Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Hangzhou 310029, China
- NHC
and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science
Center for Brain Science and Brain-machine Integration, School of
Brain Science and Brain Medicine, Zhejiang
University, Hangzhou 310058, China
- Key
Laboratory of Biomedical Engineering of Ministry of Education, College
of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China
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11
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Muta K, Hata J, Kawaguchi N, Haga Y, Yoshimaru D, Hagiya K, Kaneko T, Miyabe-Nishiwaki T, Komaki Y, Seki F, Okano HJ, Okano H. Effect of sedatives or anesthetics on the measurement of resting brain function in common marmosets. Cereb Cortex 2022; 33:5148-5162. [PMID: 36222604 PMCID: PMC10151911 DOI: 10.1093/cercor/bhac406] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 09/14/2022] [Accepted: 09/15/2022] [Indexed: 11/13/2022] Open
Abstract
Common marmosets are promising laboratory animals for the study of higher brain functions. Although there are many opportunities to use sedatives and anesthetics in resting brain function measurements in marmosets, their effects on the resting-state network remain unclear. In this study, the effects of sedatives or anesthetics such as midazolam, dexmedetomidine, co-administration of isoflurane and dexmedetomidine, propofol, alfaxalone, isoflurane, and sevoflurane on the resting brain function in common marmosets were evaluated using independent component analysis, dual regression analysis, and graph-theoretic analysis; and the sedatives or anesthetics suitable for the evaluation of resting brain function were investigated. The results show that network preservation tendency under light sedative with midazolam and dexmedetomidine is similar regardless of the type of target receptor. Moreover, alfaxalone, isoflurane, and sevoflurane have similar effects on resting state brain function, but only propofol exhibits different tendencies, as resting brain function is more preserved than it is following the administration of the other anesthetics. Co-administration of isoflurane and dexmedetomidine shows middle effect between sedatives and anesthetics.
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Affiliation(s)
- Kanako Muta
- Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa, Tokyo 116-8551, Japan.,Division of Regenerative Medicine, The Jikei University School of Medicine, Minato, Tokyo 105-8461, Japan
| | - Junichi Hata
- Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa, Tokyo 116-8551, Japan.,Division of Regenerative Medicine, The Jikei University School of Medicine, Minato, Tokyo 105-8461, Japan.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Wako, Saitama 351-0198, Japan.,Department of Physiology, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan
| | - Naoki Kawaguchi
- Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa, Tokyo 116-8551, Japan
| | - Yawara Haga
- Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa, Tokyo 116-8551, Japan.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Wako, Saitama 351-0198, Japan.,Live Imaging Center, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan
| | - Daisuke Yoshimaru
- Division of Regenerative Medicine, The Jikei University School of Medicine, Minato, Tokyo 105-8461, Japan.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Wako, Saitama 351-0198, Japan.,Department of Physiology, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.,Live Imaging Center, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan
| | - Kei Hagiya
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Wako, Saitama 351-0198, Japan
| | - Takaaki Kaneko
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Wako, Saitama 351-0198, Japan.,Systems Neuroscience Section, Primate Research Institute, Kyoto University, Inuyama, Aichi 484-8506, Japan
| | - Takako Miyabe-Nishiwaki
- Center for Model Human Evolution Research, Primate Research Institute, Kyoto University, Inuyama, Aichi 484-8506, Japan
| | - Yuji Komaki
- Department of Physiology, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.,Live Imaging Center, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan
| | - Fumiko Seki
- Department of Physiology, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan.,Live Imaging Center, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan
| | - Hirotaka James Okano
- Division of Regenerative Medicine, The Jikei University School of Medicine, Minato, Tokyo 105-8461, Japan
| | - Hideyuki Okano
- Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Wako, Saitama 351-0198, Japan.,Department of Physiology, Keio University School of Medicine, Shinjuku, Tokyo 160-8582, Japan
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12
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Yoshimatsu S, Seki F, Okahara J, Watanabe H, Sasaguri H, Haga Y, Hata JI, Sanosaka T, Inoue T, Mineshige T, Lee CY, Shinohara H, Kurotaki Y, Komaki Y, Kishi N, Murayama AY, Nagai Y, Minamimoto T, Yamamoto M, Nakajima M, Zhou Z, Nemoto A, Sato T, Ikeuchi T, Sahara N, Morimoto S, Shiozawa S, Saido TC, Sasaki E, Okano H. Multimodal analyses of a non-human primate model harboring mutant amyloid precursor protein transgenes driven by the human EF1α promoter. Neurosci Res 2022; 185:49-61. [PMID: 36075457 DOI: 10.1016/j.neures.2022.08.008] [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: 03/29/2022] [Revised: 08/18/2022] [Accepted: 08/21/2022] [Indexed: 11/30/2022]
Abstract
Alzheimer's disease (AD) is the leading cause of dementia which afflicts tens of millions of people worldwide. Despite many scientific progresses to dissect the AD's molecular basis from studies on various mouse models, it has been suffered from evolutionary species differences. Here, we report generation of a non-human primate (NHP), common marmoset model ubiquitously expressing Amyloid-beta precursor protein (APP) transgenes with the Swedish (KM670/671NL) and Indiana (V717F) mutations. The transgene integration of generated two transgenic marmosets (TG1&TG2) was thoroughly investigated by genomic PCR, whole-genome sequencing, and fluorescence in situ hybridization. By reprogramming, we confirmed the validity of transgene expression in induced neurons in vitro. Moreover, we discovered structural changes in specific brain regions of transgenic marmosets by magnetic resonance imaging analysis, including in the entorhinal cortex and hippocampus. In immunohistochemistry, we detected increased Aβ plaque-like structures in TG1 brain at 7 years old, although evident neuronal loss or glial inflammation was not observed. Thus, this study summarizes our attempt to establish an NHP AD model. Although the transgenesis approach alone seemed not sufficient to fully recapitulate AD in NHPs, it may be beneficial for drug development and further disease modeling by combination with other genetically engineered models and disease-inducing approaches.
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Affiliation(s)
- Sho Yoshimatsu
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan; Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan
| | - Fumiko Seki
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Junko Okahara
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan
| | - Hirotaka Watanabe
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Hiroki Sasaguri
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan
| | - Yawara Haga
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan; Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa-ku, Tokyo 116-8551, Japan
| | - Jun-Ichi Hata
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan; Graduate School of Human Health Sciences, Tokyo Metropolitan University, Arakawa-ku, Tokyo 116-8551, Japan
| | - Tsukasa Sanosaka
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Takashi Inoue
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan
| | - Takayuki Mineshige
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan
| | - Chia-Ying Lee
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan
| | - Haruka Shinohara
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan
| | - Yoko Kurotaki
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan
| | - Yuji Komaki
- Live Imaging Center, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan
| | - Noriyuki Kishi
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan
| | - Ayaka Y Murayama
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan
| | - Yuji Nagai
- Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba City, Chiba 263-8555, Japan
| | - Takafumi Minamimoto
- Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba City, Chiba 263-8555, Japan
| | - Masafumi Yamamoto
- ICLAS Monitoring Center, Central Institute for Experimental Animals, Kanagawa 210-0821, Japan
| | - Mayutaka Nakajima
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Zhi Zhou
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Akisa Nemoto
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Tsukika Sato
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Chuo-ku, Niigata 951-8122, Japan
| | - Naruhiko Sahara
- Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba City, Chiba 263-8555, Japan
| | - Satoru Morimoto
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Seiji Shiozawa
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Takaomi C Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan
| | - Erika Sasaki
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan; Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals, Kawasaki, Kanagawa 210-0821, Japan.
| | - Hideyuki Okano
- Department of Physiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan; Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako City, Saitama 351-0198, Japan.
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13
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Sawamura M, Onoe H, Tsukada H, Isa K, Yamakado H, Okuda S, Ikuno M, Hatanaka Y, Murayama S, Uemura N, Isa T, Takahashi R. Lewy Body Disease Primate Model with α-Synuclein Propagation from the Olfactory Bulb. Mov Disord 2022; 37:2033-2044. [PMID: 35989519 DOI: 10.1002/mds.29161] [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: 04/26/2022] [Revised: 06/24/2022] [Accepted: 07/01/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Lewy body diseases (LBDs), which are pathologically defined as the presence of intraneuronal α-synuclein (α-Syn) inclusions called Lewy bodies, encompass Parkinson's disease, Parkinson's disease with dementia, and dementia with Lewy bodies. Autopsy studies have shown that the olfactory bulb (OB) is one of the regions where Lewy pathology develops and initiates its spread in the brain. OBJECTIVE This study aims to clarify how Lewy pathology spreads from the OB and affects brain functions using nonhuman primates. METHODS We inoculated α-Syn preformed fibrils into the unilateral OBs of common marmosets (Callithrix jacchus) and performed pathological analyses, manganese-enhanced magnetic resonance imaging, and 18 F-fluoro-2-deoxy-d-glucose positron emission tomography up to 6 months postinoculation. RESULTS Severe α-Syn pathology was observed within the olfactory pathway and limbic system, while mild α-Syn pathology was seen in a wide range of brain regions, including the substantia nigra pars compacta, locus coeruleus, and even dorsal motor nucleus of the vagus nerve. The brain imaging analyses showed reduction in volume of the OB and progressive glucose hypometabolism in widespread brain regions, including the occipital lobe, and extended beyond the pathologically affected regions. CONCLUSIONS We generated a novel nonhuman primate LBD model with α-Syn propagation from the OB. This model suggests that α-Syn propagation from the OB is related to OB atrophy and cerebral glucose hypometabolism in LBDs. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Masanori Sawamura
- Department of Neurology Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hirotaka Onoe
- Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hideo Tsukada
- Central Research Laboratory, Hamamatsu Photonics K.K, Shizuoka, Japan
| | - Kaoru Isa
- Department of Physiology and Neurobiology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hodaka Yamakado
- Department of Neurology Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shinya Okuda
- Department of Neurology Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masashi Ikuno
- Department of Neurology Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yusuke Hatanaka
- Department of Neurology Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shigeo Murayama
- Department of Neuropathology (Brain Bank for Aging Research), Tokyo Metropolitan Geriatric Hospital & Institute of Gerontology, Tokyo, Japan
- Brain Bank for Neurodevelopmental, Neurological and Psychiatric Disorders, Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - Norihito Uemura
- Department of Neurology Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tadashi Isa
- Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Physiology and Neurobiology, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Ryosuke Takahashi
- Department of Neurology Graduate School of Medicine, Kyoto University, Kyoto, Japan
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14
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Kwan C, Kang MS, Nuara SG, Gourdon JC, Bédard D, Tardif CL, Hopewell R, Ross K, Bdair H, Hamadjida A, Massarweh G, Soucy JP, Luo W, Del Cid Pellitero E, Shlaifer I, Durcan TM, Fon EA, Rosa-Neto P, Frey S, Huot P. Co-registration of Imaging Modalities (MRI, CT and PET) to Perform Frameless Stereotaxic Robotic Injections in the Common Marmoset. Neuroscience 2021; 480:143-154. [PMID: 34774970 DOI: 10.1016/j.neuroscience.2021.11.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 11/02/2021] [Accepted: 11/03/2021] [Indexed: 11/17/2022]
Abstract
The common marmoset has emerged as a popular model in neuroscience research, in part due to its reproductive efficiency, genetic and neuroanatomical similarities to humans and the successful generation of transgenic lines. Stereotaxic procedures in marmosets are guided by 2D stereotaxic atlases, which are constructed with a limited number of animals and fail to account for inter-individual variability in skull and brain size. Here, we developed a frameless imaging-guided stereotaxic system that improves upon traditional approaches by using subject-specific registration of computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET) data to identify a surgical target, namely the putamen, in two marmosets. The skull surface was laser-scanned to create a point cloud that was registered to the 3D reconstruction of the skull from CT. Reconstruction of the skull, as well as of the brain from MR images, was crucial for surgical planning. Localisation and injection into the putamen was done using a 6-axis robotic arm controlled by a surgical navigation software (Brainsight™). Integration of subject-specific registration and frameless stereotaxic navigation allowed target localisation specific to each animal. Injection of alpha-synuclein fibrils into the putamen triggered progressive neurodegeneration of the nigro-striatal system, a key feature of Parkinson's disease. Four months post-surgery, a PET scan found evidence of nigro-striatal denervation, supporting accurate targeting of the putamen during co-registration and subsequent surgery. Our results suggest that this approach, coupled with frameless stereotaxic neuronavigation, is accurate in localising surgical targets and can be used to assess endpoints for longitudinal studies.
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Affiliation(s)
- Cynthia Kwan
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Min Su Kang
- McGill University Research Centre for Studies in Aging, Douglas Research Centre, Montreal, QC, Canada
| | - Stephen G Nuara
- Comparative Medicine & Animal Resource Centre, McGill University, Montreal, QC, Canada
| | - Jim C Gourdon
- Comparative Medicine & Animal Resource Centre, McGill University, Montreal, QC, Canada
| | - Dominique Bédard
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Christine L Tardif
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada; Department of Biomedical Engineering, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Robert Hopewell
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Karen Ross
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Hussein Bdair
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Adjia Hamadjida
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Gassan Massarweh
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Jean-Paul Soucy
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | - Wen Luo
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada; The Neuro's Early Drug Discovery Unit, McGill University, Montreal, QC, Canada
| | - Esther Del Cid Pellitero
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada; Movement Disorder Clinic, Division of Neurology, Department of Neuroscience, McGill University Health Centre, Montreal, QC, Canada
| | - Irina Shlaifer
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada; The Neuro's Early Drug Discovery Unit, McGill University, Montreal, QC, Canada
| | - Thomas M Durcan
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada; The Neuro's Early Drug Discovery Unit, McGill University, Montreal, QC, Canada
| | - Edward A Fon
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada; Movement Disorder Clinic, Division of Neurology, Department of Neuroscience, McGill University Health Centre, Montreal, QC, Canada
| | - Pedro Rosa-Neto
- McGill University Research Centre for Studies in Aging, Douglas Research Centre, Montreal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada
| | | | - Philippe Huot
- Neurodegenerative Disease Group, Montreal Neurological Institute-Hospital (The Neuro), Montreal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada; Movement Disorder Clinic, Division of Neurology, Department of Neuroscience, McGill University Health Centre, Montreal, QC, Canada.
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15
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Hayashi T, Hou Y, Glasser MF, Autio JA, Knoblauch K, Inoue-Murayama M, Coalson T, Yacoub E, Smith S, Kennedy H, Van Essen DC. The nonhuman primate neuroimaging and neuroanatomy project. Neuroimage 2021; 229:117726. [PMID: 33484849 PMCID: PMC8079967 DOI: 10.1016/j.neuroimage.2021.117726] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 12/13/2020] [Accepted: 01/02/2021] [Indexed: 11/29/2022] Open
Abstract
Multi-modal neuroimaging projects such as the Human Connectome Project (HCP) and UK Biobank are advancing our understanding of human brain architecture, function, connectivity, and their variability across individuals using high-quality non-invasive data from many subjects. Such efforts depend upon the accuracy of non-invasive brain imaging measures. However, 'ground truth' validation of connectivity using invasive tracers is not feasible in humans. Studies using nonhuman primates (NHPs) enable comparisons between invasive and non-invasive measures, including exploration of how "functional connectivity" from fMRI and "tractographic connectivity" from diffusion MRI compare with long-distance connections measured using tract tracing. Our NonHuman Primate Neuroimaging & Neuroanatomy Project (NHP_NNP) is an international effort (6 laboratories in 5 countries) to: (i) acquire and analyze high-quality multi-modal brain imaging data of macaque and marmoset monkeys using protocols and methods adapted from the HCP; (ii) acquire quantitative invasive tract-tracing data for cortical and subcortical projections to cortical areas; and (iii) map the distributions of different brain cell types with immunocytochemical stains to better define brain areal boundaries. We are acquiring high-resolution structural, functional, and diffusion MRI data together with behavioral measures from over 100 individual macaques and marmosets in order to generate non-invasive measures of brain architecture such as myelin and cortical thickness maps, as well as functional and diffusion tractography-based connectomes. We are using classical and next-generation anatomical tracers to generate quantitative connectivity maps based on brain-wide counting of labeled cortical and subcortical neurons, providing ground truth measures of connectivity. Advanced statistical modeling techniques address the consistency of both kinds of data across individuals, allowing comparison of tracer-based and non-invasive MRI-based connectivity measures. We aim to develop improved cortical and subcortical areal atlases by combining histological and imaging methods. Finally, we are collecting genetic and sociality-associated behavioral data in all animals in an effort to understand how genetic variation shapes the connectome and behavior.
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Affiliation(s)
- Takuya Hayashi
- Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, 6-7-3 MI R&D Center 3F, Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan; Department of Neurobiology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yujie Hou
- Inserm, Stem Cell and Brain Research Institute U1208, Univ Lyon, Université Claude Bernard Lyon 1, Bron, France
| | - Matthew F Glasser
- Department of Neuroscience, Washington University Medical School, St Louis, MO USA; Department of Neuroscience and Radiology, Washington University Medical School, St Louis, MO USA
| | - Joonas A Autio
- Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, 6-7-3 MI R&D Center 3F, Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan
| | - Kenneth Knoblauch
- Inserm, Stem Cell and Brain Research Institute U1208, Univ Lyon, Université Claude Bernard Lyon 1, Bron, France
| | | | - Tim Coalson
- Department of Neuroscience, Washington University Medical School, St Louis, MO USA
| | - Essa Yacoub
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USA
| | - Stephen Smith
- Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging (WIN), Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Henry Kennedy
- Inserm, Stem Cell and Brain Research Institute U1208, Univ Lyon, Université Claude Bernard Lyon 1, Bron, France; Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences (CAS) Key Laboratory of Primate Neurobiology, CAS, Shanghai, China
| | - David C Van Essen
- Department of Neuroscience, Washington University Medical School, St Louis, MO USA
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16
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Dorigatti AO, Hussong SA, Hernandez SF, Sills AM, Salmon AB, Galvan V. Primary neuron and astrocyte cultures from postnatal Callithrix jacchus: a non-human primate in vitro model for research in neuroscience, nervous system aging, and neurological diseases of aging. GeroScience 2021; 43:115-124. [PMID: 33063253 PMCID: PMC8050148 DOI: 10.1007/s11357-020-00284-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 10/08/2020] [Indexed: 01/05/2023] Open
Abstract
The ability to generate in vitro cultures of neuronal cells has been instrumental in advancing our understanding of the nervous system. Rodent models have been the principal source of brain cells used in primary cultures for over a century, providing insights that are widely applicable to human diseases. However, therapeutic agents that showed benefit in rodent models, particularly those pertaining to aging and age-associated dementias, have frequently failed in clinical trials. This discrepancy established a potential "translational gap" between human and rodent studies that may at least partially be explained by the phylogenetic distance between rodent and primate species. Several non-human primate (NHP) species, including the common marmoset (Callithrix jacchus), have been used extensively in neuroscience research, but in contrast to rodent models, practical approaches to the generation of primary cell culture systems amenable to molecular studies that can inform in vivo studies are lacking. Marmosets are a powerful model in biomedical research and particularly in studies of aging and age-associated diseases because they exhibit an aging phenotype similar to humans. Here, we report a practical method to culture primary marmoset neurons and astrocytes from brains of medically euthanized postnatal day 0 (P0) marmoset newborns that yield highly pure primary neuron and astrocyte cultures. Primary marmoset neuron and astrocyte cultures can be generated reliably to provide a powerful NHP in vitro model in neuroscience research that may enable mechanistic studies of nervous system aging and of age-related neurodegenerative disorders. Because neuron and astrocyte cultures can be used in combination with in vivo approaches in marmosets, primary marmoset neuron and astrocyte cultures may help bridge the current translational gap between basic and clinical studies in nervous system aging and age-associated neurological diseases.
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Affiliation(s)
- Angela O Dorigatti
- Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, 15355 Lambda Drive, STCBM 3.200.8, San Antonio, TX, 78245, USA
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Stacy A Hussong
- Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, 15355 Lambda Drive, STCBM 3.200.8, San Antonio, TX, 78245, USA
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Stephen F Hernandez
- Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, 15355 Lambda Drive, STCBM 3.200.8, San Antonio, TX, 78245, USA
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Aubrey M Sills
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Adam B Salmon
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- South Texas Veterans Health Care System, San Antonio, TX, USA
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Veronica Galvan
- Department of Cellular and Integrative Physiology, University of Texas Health Science Center at San Antonio, 15355 Lambda Drive, STCBM 3.200.8, San Antonio, TX, 78245, USA.
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
- South Texas Veterans Health Care System, San Antonio, TX, USA.
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
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17
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Majka P, Bednarek S, Chan JM, Jermakow N, Liu C, Saworska G, Worthy KH, Silva AC, Wójcik DK, Rosa MGP. Histology-Based Average Template of the Marmoset Cortex With Probabilistic Localization of Cytoarchitectural Areas. Neuroimage 2020; 226:117625. [PMID: 33301940 DOI: 10.1016/j.neuroimage.2020.117625] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 11/19/2020] [Accepted: 12/01/2020] [Indexed: 12/25/2022] Open
Abstract
The rapid adoption of marmosets in neuroscience has created a demand for three dimensional (3D) atlases of the brain of this species to facilitate data integration in a common reference space. We report on a new open access template of the marmoset cortex (the Nencki-Monash, or NM template), representing a morphological average of 20 brains of young adult individuals, obtained by 3D reconstructions generated from Nissl-stained serial sections. The method used to generate the template takes into account morphological features of the individual brains, as well as the borders of clearly defined cytoarchitectural areas. This has resulted in a resource which allows direct estimates of the most likely coordinates of each cortical area, as well as quantification of the margins of error involved in assigning voxels to areas, and preserves quantitative information about the laminar structure of the cortex. We provide spatial transformations between the NM and other available marmoset brain templates, thus enabling integration with magnetic resonance imaging (MRI) and tracer-based connectivity data. The NM template combines some of the main advantages of histology-based atlases (e.g. information about the cytoarchitectural structure) with features more commonly associated with MRI-based templates (isotropic nature of the dataset, and probabilistic analyses). The underlying workflow may be found useful in the future development of 3D brain atlases that incorporate information about the variability of areas in species for which it may be impractical to ensure homogeneity of the sample in terms of age, sex and genetic background.
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Affiliation(s)
- Piotr Majka
- Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 02-093 Warsaw, Poland; Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC 3800, Australia; Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, VIC 3800, Australia.
| | - Sylwia Bednarek
- Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 02-093 Warsaw, Poland
| | - Jonathan M Chan
- Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC 3800, Australia; Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, VIC 3800, Australia
| | - Natalia Jermakow
- Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 02-093 Warsaw, Poland
| | - Cirong Liu
- Department of Neurobiology, University of Pittsburgh Brain Institute, Pittsburgh, PA, USA
| | - Gabriela Saworska
- Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 02-093 Warsaw, Poland
| | - Katrina H Worthy
- Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, VIC 3800, Australia
| | - Afonso C Silva
- Department of Neurobiology, University of Pittsburgh Brain Institute, Pittsburgh, PA, USA
| | - Daniel K Wójcik
- Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, 02-093 Warsaw, Poland; Institute of Applied Psychology, Faculty of Management and Social Communication, Jagiellonian University, 30-348 Cracow, Poland
| | - Marcello G P Rosa
- Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC 3800, Australia; Biomedicine Discovery Institute and Department of Physiology, Monash University, Clayton, VIC 3800, Australia
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18
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Abstract
The common marmoset (Callithrix jacchus), a small New World primate, is receiving substantial attention in the neuroscience and biomedical science fields because its anatomical features, functional and behavioral characteristics, and reproductive features and its amenability to available genetic modification technologies make it an attractive experimental subject. In this review, I outline the progress of marmoset neuroscience research and summarize both the current status (opportunities and limitations) of and the future perspectives on the application of marmosets in neuroscience and disease modeling.
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Affiliation(s)
- Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan; .,Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako-shi, Saitama 351-0198, Japan
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19
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Tia B, Takemi M, Kosugi A, Castagnola E, Ricci D, Ushiba J, Fadiga L, Iriki A. Spectral Power in Marmoset Frontal Motor Cortex during Natural Locomotor Behavior. Cereb Cortex 2020; 31:1077-1089. [PMID: 33068002 PMCID: PMC7786367 DOI: 10.1093/cercor/bhaa275] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/25/2020] [Accepted: 08/25/2020] [Indexed: 12/15/2022] Open
Abstract
During primate arboreal locomotion, substrate orientation modifies body axis orientation and biomechanical contribution of fore- and hindlimbs. To characterize the role of cortical oscillations in integrating these locomotor demands, we recorded electrocorticographic activity from left dorsal premotor, primary motor, and supplementary motor cortices of three common marmosets moving across a branch-like small-diameter pole, fixed horizontally or vertically. Animals displayed behavioral adjustments to the task, namely, the horizontal condition mainly induced quadrupedal walk with pronated/neutral forelimb postures, whereas the vertical condition induced walk and bound gaits with supinated/neutral postures. Examination of cortical activity suggests that β (16–35 Hz) and γ (75–100 Hz) oscillations could reflect different processes in locomotor adjustments. During task, modulation of γ ERS by substrate orientation (horizontal/vertical) and epoch (preparation/execution) suggests close tuning to movement dynamics and biomechanical demands. β ERD was essentially modulated by gait (walk/bound), which could illustrate contribution to movement sequence and coordination. At rest, modulation of β power by substrate orientation underlines its role in sensorimotor processes for postural maintenance.
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Affiliation(s)
- Banty Tia
- Laboratory for Symbolic Cognitive Development, RIKEN Center for Biosystems Dynamics Research, Kobe, 650-0047, Japan.,Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, Ferrara, 44121, Italy
| | - Mitsuaki Takemi
- Laboratory for Symbolic Cognitive Development, RIKEN Center for Biosystems Dynamics Research, Kobe, 650-0047, Japan.,Graduate School of Science and Technology, Keio University, Yokohama, 223-8522, Japan.,Graduate School of Education, The University of Tokyo, Tokyo, 113-8654, Japan.,Japan Science and Technology Agency, PRESTO, Saitama, 332-0012, Japan
| | - Akito Kosugi
- Laboratory for Symbolic Cognitive Development, RIKEN Center for Biosystems Dynamics Research, Kobe, 650-0047, Japan.,Graduate School of Science and Technology, Keio University, Yokohama, 223-8522, Japan
| | - Elisa Castagnola
- Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, Ferrara, 44121, Italy
| | - Davide Ricci
- Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, Ferrara, 44121, Italy
| | - Junichi Ushiba
- Department of Biosciences and Informatics, Faculty of Science and Technology, Keio University, Yokohama, 223-8522, Japan
| | - Luciano Fadiga
- Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, Ferrara, 44121, Italy.,Section of Physiology, University of Ferrara, Ferrara, 44121, Italy
| | - Atsushi Iriki
- Laboratory for Symbolic Cognitive Development, RIKEN Center for Biosystems Dynamics Research, Kobe, 650-0047, Japan
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20
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Hori Y, Schaeffer DJ, Gilbert KM, Hayrynen LK, Cléry JC, Gati JS, Menon RS, Everling S. Altered Resting-State Functional Connectivity Between Awake and Isoflurane Anesthetized Marmosets. Cereb Cortex 2020; 30:5943-5959. [PMID: 32556184 PMCID: PMC7899065 DOI: 10.1093/cercor/bhaa168] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 05/28/2020] [Accepted: 05/28/2020] [Indexed: 01/02/2023] Open
Abstract
The common marmoset (Callithrix jacchus) is a New World primate that is becoming increasingly popular as a preclinical model. To assess functional connectivity (FC) across the marmoset brain, resting-state functional MRI (RS-fMRI) is often performed under isoflurane anesthesia to avoid the effects of motion, physiological stress, and training requirements. In marmosets, however, it remains unclear how isoflurane anesthesia affects patterns of FC. Here, we investigated the effects of isoflurane on FC when delivered with either medical air or 100% pure oxygen, two canonical methods of inhalant isoflurane anesthesia delivery. The results demonstrated that when delivered with either medical air or 100% oxygen, isoflurane globally decreased FC across resting-state networks that were identified in awake marmosets. Generally, although isoflurane globally decreased FC in resting-state networks, the spatial structure of the networks was preserved. Outside of the context of RS networks, we indexed pair-wise functional connectivity between regions across the brain and found that isoflurane substantially altered interhemispheric and thalamic FC. Taken together, these findings indicate that RS-fMRI under isoflurane anesthesia is useful to evaluate the global structure of functional networks, but may obfuscate important nodes of some network components when compared to data acquired in fully awake marmosets.
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Affiliation(s)
- Yuki Hori
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 5B7, Canada
| | - David J Schaeffer
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 5B7, Canada
| | - Kyle M Gilbert
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 5B7, Canada
| | - Lauren K Hayrynen
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 5B7, Canada
| | - Justine C Cléry
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 5B7, Canada
| | - Joseph S Gati
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 5B7, Canada
| | - Ravi S Menon
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 5B7, Canada
| | - Stefan Everling
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario N6A 5B7, Canada
- Department of Physiology and Pharmacology, The University of Western Ontario, London, Ontario N6A 5C1, Canada
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21
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Feng G, Jensen FE, Greely HT, Okano H, Treue S, Roberts AC, Fox JG, Caddick S, Poo MM, Newsome WT, Morrison JH. Opportunities and limitations of genetically modified nonhuman primate models for neuroscience research. Proc Natl Acad Sci U S A 2020; 117:24022-24031. [PMID: 32817435 PMCID: PMC7533691 DOI: 10.1073/pnas.2006515117] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The recently developed new genome-editing technologies, such as the CRISPR/Cas system, have opened the door for generating genetically modified nonhuman primate (NHP) models for basic neuroscience and brain disorders research. The complex circuit formation and experience-dependent refinement of the human brain are very difficult to model in vitro, and thus require use of in vivo whole-animal models. For many neurodevelopmental and psychiatric disorders, abnormal circuit formation and refinement might be at the center of their pathophysiology. Importantly, many of the critical circuits and regional cell populations implicated in higher human cognitive function and in many psychiatric disorders are not present in lower mammalian brains, while these analogous areas are replicated in NHP brains. Indeed, neuropsychiatric disorders represent a tremendous health and economic burden globally. The emerging field of genetically modified NHP models has the potential to transform our study of higher brain function and dramatically facilitate the development of effective treatment for human brain disorders. In this paper, we discuss the importance of developing such models, the infrastructure and training needed to maximize the impact of such models, and ethical standards required for using these models.
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Affiliation(s)
- Guoping Feng
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139;
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - Frances E Jensen
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104;
| | - Henry T Greely
- Center for Law and the Biosciences, Stanford University, Stanford, CA 94305
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, Shinjukuku, 160-8592 Tokyo, Japan
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, 351-0106 Saitama, Wakoshi, Japan
| | - Stefan Treue
- Cognitive Neuroscience Laboratory, German Primate Center-Leibniz Institute for Primate Research, 37077 Goettingen, Germany
- Faculty of Biology and Psychology, University of Goettingen, 37073 Goettingen, Germany
| | - Angela C Roberts
- Department of Physiology, Development, and Neuroscience, University of Cambridge, CB2 3DY Cambridge, United Kingdom
| | - James G Fox
- Division of Comparative Medicine, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Sarah Caddick
- The Gatsby Charitable Foundation, SW1V 1AP London, United Kingdom
| | - Mu-Ming Poo
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 200031 Shanghai, China
| | - William T Newsome
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305;
- Department of Neurobiology, Stanford University School of Medicine, Stanford, CA 94305
| | - John H Morrison
- California National Primate Research Center, University of California, Davis, CA 95616;
- Department of Neurology, School of Medicine, University of California, Davis, CA 95616
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22
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Kaneko T, Takemura H, Pestilli F, Silva AC, Ye FQ, Leopold DA. Spatial organization of occipital white matter tracts in the common marmoset. Brain Struct Funct 2020; 225:1313-1326. [PMID: 32253509 PMCID: PMC7577349 DOI: 10.1007/s00429-020-02060-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 03/18/2020] [Indexed: 11/30/2022]
Abstract
The primate brain contains a large number of interconnected visual areas, whose spatial organization and intracortical projections show a high level of conservation across species. One fiber pathway of recent interest is the vertical occipital fasciculus (VOF), which is thought to support communication between dorsal and ventral visual areas in the occipital lobe. A recent comparative diffusion MRI (dMRI) study reported that the VOF in the macaque brain bears a similar topology to that of the human, running superficial and roughly perpendicular to the optic radiation. The present study reports a comparative investigation of the VOF in the common marmoset, a small New World monkey whose lissencephalic brain is approximately tenfold smaller than the macaque and 150-fold smaller than the human. High-resolution ex vivo dMRI of two marmoset brains revealed an occipital white matter structure that closely resembles that of the larger primate species, with one notable difference. Namely, unlike in the macaque and the human, the VOF in the marmoset is spatially fused with other, more anterior vertical tracts, extending anteriorly between the parietal and temporal cortices. We compare several aspects of this continuous structure, which we term the VOF complex (VOF +), and neighboring fasciculi to those of macaques and humans. We hypothesize that the essential topology of the VOF+ is a conserved feature of the posterior cortex in anthropoid primates, with a clearer fragmentation into multiple named fasciculi in larger, more gyrified brains.
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Affiliation(s)
- Takaaki Kaneko
- RIKEN Center for Brain Science (CBS), 2-1 Hirosawa, Wako-shi, Saitama, 351-0198, Japan.
- Systems Neuroscience Section, Primate Research Institute, Kyoto University, 41 Kanrin, Inuyamas-shi, Aichi, 484-8506, Japan.
| | - Hiromasa Takemura
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, and Osaka University, 1-4 Yamadaoka, Suita-shi, Osaka, 565-0871, Japan.
- Graduate School of Frontier Biosciences, Osaka University, 1-4 Yamadaoka, Suita-shi, Osaka, 565-0871, Japan.
| | - Franco Pestilli
- Department of Psychological and Brain Sciences, Indiana University, 1101 E 10th Street, Bloomington, IN, 47405, USA
| | - Afonso C Silva
- Department of Neurobiology, University of Pittsburgh Brain Institute, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Frank Q Ye
- Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
| | - David A Leopold
- Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
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23
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Komatsu M, Ichinohe N. Effects of Ketamine Administration on Auditory Information Processing in the Neocortex of Nonhuman Primates. Front Psychiatry 2020; 11:826. [PMID: 32973576 PMCID: PMC7466740 DOI: 10.3389/fpsyt.2020.00826] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 07/30/2020] [Indexed: 12/23/2022] Open
Abstract
Ketamine, an N-methyl-D-aspartate (NMDA) receptor antagonist, exerts broad effects on consciousness and perception. Since NMDA receptor antagonists induce cognitive impairments, ketamine has been used for translational research on several psychiatric diseases, such as schizophrenia. Whereas the effects of ketamine on cognitive functions have been extensively studied, studies on the effects of ketamine on simple sensory information processing remain limited. In this study, we investigated the cortex-wide effects of ketamine administration on auditory information processing in nonhuman primates using whole-cortical electrocorticography (ECoG). We first recorded ECoG from awake monkeys on presenting auditory stimuli of different frequencies or different durations. We observed auditory evoked responses (AERs) across the cortex, including in frontal, parietal, and temporal areas, while feature-specific responses were obtained around the temporal sulcus. Next, we examined the effects of ketamine on cortical auditory information processing. We conducted ECoG recordings from monkeys that had been administered anesthetic doses of ketamine from 10 to 180 min following administration. We observed significant changes in stimulus feature-specific responses. Electrodes showing a frequency preference or offset responses were altered following ketamine administration, while those of the AERs were not strongly influenced. However, the frequency preference of a selected electrode was not significantly altered by ketamine administration over time following administration, while the imbalances in the onset and offset persisted over the course of 150 min following ketamine administration in all three monkeys. These results suggest that ketamine affects the ability to distinguish between sound frequency and duration in different ways. In conclusion, future research on the NMDA sensitivity of cortical wide sensory information processing may provide a new perspective into the development of nonhuman primate models of psychiatric disorders.
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Affiliation(s)
- Misako Komatsu
- Laboratory for Molecular Analysis of Higher Brain Functions, RIKEN Center for Brain Science, Saitama, Japan.,Department of Ultrastructural Research, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Noritaka Ichinohe
- Laboratory for Molecular Analysis of Higher Brain Functions, RIKEN Center for Brain Science, Saitama, Japan.,Department of Ultrastructural Research, National Center of Neurology and Psychiatry, Tokyo, Japan
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24
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Van Essen DC, Donahue CJ, Coalson TS, Kennedy H, Hayashi T, Glasser MF. Cerebral cortical folding, parcellation, and connectivity in humans, nonhuman primates, and mice. Proc Natl Acad Sci U S A 2019; 116:26173-26180. [PMID: 31871175 PMCID: PMC6936571 DOI: 10.1073/pnas.1902299116] [Citation(s) in RCA: 113] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Advances in neuroimaging and neuroanatomy have yielded major insights concerning fundamental principles of cortical organization and evolution, thus speaking to how well different species serve as models for human brain function in health and disease. Here, we focus on cortical folding, parcellation, and connectivity in mice, marmosets, macaques, and humans. Cortical folding patterns vary dramatically across species, and individual variability in cortical folding increases with cortical surface area. Such issues are best analyzed using surface-based approaches that respect the topology of the cortical sheet. Many aspects of cortical organization can be revealed using 1 type of information (modality) at a time, such as maps of cortical myelin content. However, accurate delineation of the entire mosaic of cortical areas requires a multimodal approach using information about function, architecture, connectivity, and topographic organization. Comparisons across the 4 aforementioned species reveal dramatic differences in the total number and arrangement of cortical areas, particularly between rodents and primates. Hemispheric variability and bilateral asymmetry are most pronounced in humans, which we evaluated using a high-quality multimodal parcellation of hundreds of individuals. Asymmetries include modest differences in areal size but not in areal identity. Analyses of cortical connectivity using anatomical tracers reveal highly distributed connectivity and a wide range of connection weights in monkeys and mice; indirect measures using functional MRI suggest a similar pattern in humans. Altogether, a multifaceted but integrated approach to exploring cortical organization in primate and nonprimate species provides complementary advantages and perspectives.
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Affiliation(s)
- David C. Van Essen
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110
| | - Chad J. Donahue
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110
| | - Timothy S. Coalson
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110
| | - Henry Kennedy
- Univ Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, 69500 Bron, France
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai 200031, China
| | - Takuya Hayashi
- Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Kobe, 650-0047, Japan
| | - Matthew F. Glasser
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110
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25
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Huo BX, Zeater N, Lin MK, Takahashi YS, Hanada M, Nagashima J, Lee BC, Hata J, Zaheer A, Grünert U, Miller MI, Rosa MGP, Okano H, Martin PR, Mitra PP. Relation of koniocellular layers of dorsal lateral geniculate to inferior pulvinar nuclei in common marmosets. Eur J Neurosci 2019; 50:4004-4017. [PMID: 31344282 DOI: 10.1111/ejn.14529] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 07/11/2019] [Accepted: 07/15/2019] [Indexed: 11/27/2022]
Abstract
Traditionally, the dorsal lateral geniculate nucleus (LGN) and the inferior pulvinar (IPul) nucleus are considered as anatomically and functionally distinct thalamic nuclei. However, in several primate species it has also been established that the koniocellular (K) layers of LGN and parts of the IPul have a shared pattern of immunoreactivity for the calcium-binding protein calbindin. These calbindin-rich cells constitute a thalamic matrix system which is implicated in thalamocortical synchronisation. Further, the K layers and IPul are both involved in visual processing and have similar connections with retina and superior colliculus. Here, we confirmed the continuity between calbindin-rich cells in LGN K layers and the central lateral division of IPul (IPulCL) in marmoset monkeys. By employing a high-throughput neuronal tracing method, we found that both the K layers and IPulCL form comparable patterns of connections with striate and extrastriate cortices; these connections are largely different to those of the parvocellular and magnocellular laminae of LGN. Retrograde tracer-labelled cells and anterograde tracer-labelled axon terminals merged seamlessly from IPulCL into LGN K layers. These results support continuity between LGN K layers and IPulCL, providing an anatomical basis for functional congruity of this region of the dorsal thalamic matrix and calling into question the traditional segregation between LGN and the inferior pulvinar nucleus.
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Affiliation(s)
- Bing-Xing Huo
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako, Japan.,Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Natalie Zeater
- Faculty of Medicine and Health, Save Sight Institute, The University of Sydney, Sydney, NSW, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Sydney University Node, Sydney, NSW, Australia.,Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Meng Kuan Lin
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako, Japan.,Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Yeonsook S Takahashi
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako, Japan.,Integra Life Science Japan, Minato-Ku, Akasaka, Japan
| | - Mitsutoshi Hanada
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako, Japan.,Systems Neuroscience Institute and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jaimi Nagashima
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako, Japan.,Systems Neuroscience Institute and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA
| | - Brian C Lee
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Junichi Hata
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako, Japan
| | - Afsah Zaheer
- Faculty of Medicine and Health, Save Sight Institute, The University of Sydney, Sydney, NSW, Australia.,Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Ulrike Grünert
- Faculty of Medicine and Health, Save Sight Institute, The University of Sydney, Sydney, NSW, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Sydney University Node, Sydney, NSW, Australia.,Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Michael I Miller
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Marcello G P Rosa
- Department of Physiology and Biomedicine Research Institute, Monash University, Clayton, Vic., Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, Vic., Australia
| | - Hideyuki Okano
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako, Japan.,Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Paul R Martin
- Faculty of Medicine and Health, Save Sight Institute, The University of Sydney, Sydney, NSW, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Sydney University Node, Sydney, NSW, Australia.,Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Partha P Mitra
- Laboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako, Japan.,Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
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26
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Hata J. [16. Brain Mapping of Common Marmoset Using Ultra-high Magnetic Field MRI-from Structure to Function]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2019; 75:555-561. [PMID: 31217406 DOI: 10.6009/jjrt.2019_jsrt_75.6.555] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Junichi Hata
- Division of Regenerative Medicine, Jikei University School of Medicine.,RIKEN Center of Brain Science
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27
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Risser L, Sadoun A, Mescam M, Strelnikov K, Lebreton S, Boucher S, Girard P, Vayssière N, Rosa MGP, Fonta C. In vivo localization of cortical areas using a 3D computerized atlas of the marmoset brain. Brain Struct Funct 2019; 224:1957-1969. [DOI: 10.1007/s00429-019-01869-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 03/25/2019] [Indexed: 01/03/2023]
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28
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Lin MK, Takahashi YS, Huo BX, Hanada M, Nagashima J, Hata J, Tolpygo AS, Ram K, Lee BC, Miller MI, Rosa MGP, Sasaki E, Iriki A, Okano H, Mitra P. A high-throughput neurohistological pipeline for brain-wide mesoscale connectivity mapping of the common marmoset. eLife 2019; 8:e40042. [PMID: 30720427 PMCID: PMC6384052 DOI: 10.7554/elife.40042] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 02/04/2019] [Indexed: 11/13/2022] Open
Abstract
Understanding the connectivity architecture of entire vertebrate brains is a fundamental but difficult task. Here we present an integrated neuro-histological pipeline as well as a grid-based tracer injection strategy for systematic mesoscale connectivity mapping in the common marmoset (Callithrix jacchus). Individual brains are sectioned into ~1700 20 µm sections using the tape transfer technique, permitting high quality 3D reconstruction of a series of histochemical stains (Nissl, myelin) interleaved with tracer labeled sections. Systematic in-vivo MRI of the individual animals facilitates injection placement into reference-atlas defined anatomical compartments. Further, by combining the resulting 3D volumes, containing informative cytoarchitectonic markers, with in-vivo and ex-vivo MRI, and using an integrated computational pipeline, we are able to accurately map individual brains into a common reference atlas despite the significant individual variation. This approach will facilitate the systematic assembly of a mesoscale connectivity matrix together with unprecedented 3D reconstructions of brain-wide projection patterns in a primate brain.
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Affiliation(s)
- Meng Kuan Lin
- Laboratory for Marmoset Neural ArchitectureRIKEN Center for Brain ScienceWakoJapan
| | | | - Bing-Xing Huo
- Laboratory for Marmoset Neural ArchitectureRIKEN Center for Brain ScienceWakoJapan
| | - Mitsutoshi Hanada
- Laboratory for Marmoset Neural ArchitectureRIKEN Center for Brain ScienceWakoJapan
| | - Jaimi Nagashima
- Laboratory for Marmoset Neural ArchitectureRIKEN Center for Brain ScienceWakoJapan
| | - Junichi Hata
- Laboratory for Marmoset Neural ArchitectureRIKEN Center for Brain ScienceWakoJapan
| | | | | | - Brian C Lee
- Center for Imaging ScienceJohns Hopkins UniversityMarylandUnited States
| | - Michael I Miller
- Center for Imaging ScienceJohns Hopkins UniversityMarylandUnited States
| | - Marcello GP Rosa
- Department of Physiology and Biomedicine, Discovery InstituteMonash UniversityMelbourneAustralia
- Australian Research Council Centre of Excellence for Integrative Brain FunctionClaytonAustralia
| | - Erika Sasaki
- Central Institute for Experimental AnimalsKawasakiJapan
| | - Atsushi Iriki
- Laboratory for Symbolic Cognitive DevelopmentRIKEN Center for Brain ScienceWakoJapan
| | - Hideyuki Okano
- Laboratory for Marmoset Neural ArchitectureRIKEN Center for Brain ScienceWakoJapan
- Department of PhysiologyKeio University School of MedicineTokyoJapan
| | - Partha Mitra
- Laboratory for Marmoset Neural ArchitectureRIKEN Center for Brain ScienceWakoJapan
- Cold Spring Harbor LaboratoryCold Spring HarborUnited States
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29
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Van Essen DC, Glasser MF. Parcellating Cerebral Cortex: How Invasive Animal Studies Inform Noninvasive Mapmaking in Humans. Neuron 2018; 99:640-663. [PMID: 30138588 PMCID: PMC6149530 DOI: 10.1016/j.neuron.2018.07.002] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 06/25/2018] [Accepted: 07/02/2018] [Indexed: 10/28/2022]
Abstract
The cerebral cortex in mammals contains a mosaic of cortical areas that differ in function, architecture, connectivity, and/or topographic organization. A combination of local connectivity (within-area microcircuitry) and long-distance (between-area) connectivity enables each area to perform a unique set of computations. Some areas also have characteristic within-area mesoscale organization, reflecting specialized representations of distinct types of information. Cortical areas interact with one another to form functional networks that mediate behavior, and each area may be a part of multiple, partially overlapping networks. Given their importance to the understanding of brain organization, mapping cortical areas across species is a major objective of systems neuroscience and has been a century-long challenge. Here, we review recent progress in multi-modal mapping of mouse and nonhuman primate cortex, mainly using invasive experimental methods. These studies also provide a neuroanatomical foundation for mapping human cerebral cortex using noninvasive neuroimaging, including a new map of human cortical areas that we generated using a semiautomated analysis of high-quality, multimodal neuroimaging data. We contrast our semiautomated approach to human multimodal cortical mapping with various extant fully automated human brain parcellations that are based on only a single imaging modality and offer suggestions on how to best advance the noninvasive brain parcellation field. We discuss the limitations as well as the strengths of current noninvasive methods of mapping brain function, architecture, connectivity, and topography and of current approaches to mapping the brain's functional networks.
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Affiliation(s)
- David C Van Essen
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Matthew F Glasser
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA; St. Luke's Hospital, St. Louis, MO 63107, USA.
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30
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Van Essen DC, Donahue CJ, Glasser MF. Development and Evolution of Cerebral and Cerebellar Cortex. BRAIN, BEHAVIOR AND EVOLUTION 2018; 91:158-169. [PMID: 30099464 PMCID: PMC6097530 DOI: 10.1159/000489943] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 05/08/2018] [Indexed: 11/19/2022]
Abstract
Cerebral cortex and cerebellar cortex both vary enormously across species in their size and complexity of convolutions. We discuss the development and evolution of cortical structures in terms of anatomy and functional organization. We propose that the distinctive shapes of cerebral and cerebellar cortex can be explained by relatively few developmental processes, notably including mechanical tension along axons and dendrites. Regarding functional organization, we show how maps of myelin content in cerebral cortex are evolutionarily conserved across primates but differ in the proportion of cortex devoted to sensory, cognitive, and other functions. We summarize recent progress and challenges in (i) parcellating cerebral cortex into a mosaic of distinct areas, (ii) distinguishing cortical areas that correspond across species from those that are present in one species but not another, and (iii) using this information along with surface-based interspecies registration to gain deeper insights into cortical evolution. We also comment on the methodological challenges imposed by the differences in anatomical and functional organization of cerebellar cortex relative to cerebral cortex.
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31
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Ghahremani M, Hutchison RM, Menon RS, Everling S. Frontoparietal Functional Connectivity in the Common Marmoset. Cereb Cortex 2018; 27:3890-3905. [PMID: 27405331 DOI: 10.1093/cercor/bhw198] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
In contrast to the well established macaque monkey, little is known about functional connectivity patterns of common marmoset monkey (Callithrix jacchus) that is poised to become the leading transgenic primate model. Here, we used resting-state ultra-high-field fMRI data collected from anesthetized marmosets and macaques along with awake human subjects, to examine and compare the brain's functional organization, with emphasis on the saccade system. Exploratory independent component analysis revealed eight resting-state networks in marmosets that greatly overlapped with corresponding macaque and human networks including a distributed frontoparietal network. Seed-region analyses of the superior colliculus (SC) showed homolog areas in macaques and marmosets. The marmoset SC displayed the strongest frontal functional connectivity with area 8aD at the border to area 6DR. Functional connectivity of this frontal region revealed a similar functional connectivity pattern as the frontal eye fields in macaques and humans. Furthermore, areas 8aD, 8aV, PG,TPO, TE2, and TE3 were identified as major hubs based on region-wise evaluation of betweeness centrality, suggesting that these cortical regions make up the functional core of the marmoset brain. The results support an evolutionarily preserved frontoparietal system and provide a starting point for invasive neurophysiological studies in the marmoset saccade and visual systems.
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Affiliation(s)
- Maryam Ghahremani
- Graduate Program in Neuroscience, University of Western Ontario, Canada.,Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | | | - Ravi S Menon
- Graduate Program in Neuroscience, University of Western Ontario, Canada.,Robarts Research Institute, University of Western Ontario, London, Ontario, Canada
| | - Stefan Everling
- Graduate Program in Neuroscience, University of Western Ontario, Canada.,Robarts Research Institute, University of Western Ontario, London, Ontario, Canada.,Department of Physiology and Pharmacology, University of Western Ontario, London, Ontario, Canada
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32
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Liu C, Ye FQ, Yen CCC, Newman JD, Glen D, Leopold DA, Silva AC. A digital 3D atlas of the marmoset brain based on multi-modal MRI. Neuroimage 2018; 169:106-116. [PMID: 29208569 PMCID: PMC5856608 DOI: 10.1016/j.neuroimage.2017.12.004] [Citation(s) in RCA: 97] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 11/28/2017] [Accepted: 12/01/2017] [Indexed: 11/26/2022] Open
Abstract
The common marmoset (Callithrix jacchus) is a New-World monkey of growing interest in neuroscience. Magnetic resonance imaging (MRI) is an essential tool to unveil the anatomical and functional organization of the marmoset brain. To facilitate identification of regions of interest, it is desirable to register MR images to an atlas of the brain. However, currently available atlases of the marmoset brain are mainly based on 2D histological data, which are difficult to apply to 3D imaging techniques. Here, we constructed a 3D digital atlas based on high-resolution ex-vivo MRI images, including magnetization transfer ratio (a T1-like contrast), T2w images, and multi-shell diffusion MRI. Based on the multi-modal MRI images, we manually delineated 54 cortical areas and 16 subcortical regions on one hemisphere of the brain (the core version). The 54 cortical areas were merged into 13 larger cortical regions according to their locations to yield a coarse version of the atlas, and also parcellated into 106 sub-regions using a connectivity-based parcellation method to produce a refined atlas. Finally, we compared the new atlas set with existing histology atlases and demonstrated its applications in connectome studies, and in resting state and stimulus-based fMRI. The atlas set has been integrated into the widely-distributed neuroimaging data analysis software AFNI and SUMA, providing a readily usable multi-modal template space with multi-level anatomical labels (including labels from the Paxinos atlas) that can facilitate various neuroimaging studies of marmosets.
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Affiliation(s)
- Cirong Liu
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Frank Q Ye
- Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, and National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Cecil Chern-Chyi Yen
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - John D Newman
- Laboratory of Comparative Ethology, Eunice Kennedy Shriver, National Institute of Child Health and Human Development, National Institutes of Health, Poolesville, MD 20837, USA
| | - Daniel Glen
- Scientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health (NIMH/NIH), Bethesda, MD 20892, USA
| | - David A Leopold
- Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, and National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA; Section on Cognitive Neurophysiology and Imaging, Laboratory of Neuropsychology, National Institute of Mental Health, Bethesda, MD 20892-4400, USA
| | - Afonso C Silva
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
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33
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Iwano S, Sugiyama M, Hama H, Watakabe A, Hasegawa N, Kuchimaru T, Tanaka KZ, Takahashi M, Ishida Y, Hata J, Shimozono S, Namiki K, Fukano T, Kiyama M, Okano H, Kizaka-Kondoh S, McHugh TJ, Yamamori T, Hioki H, Maki S, Miyawaki A. Single-cell bioluminescence imaging of deep tissue in freely moving animals. Science 2018; 359:935-939. [DOI: 10.1126/science.aaq1067] [Citation(s) in RCA: 216] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Accepted: 12/31/2017] [Indexed: 12/26/2022]
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34
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Woodward A, Hashikawa T, Maeda M, Kaneko T, Hikishima K, Iriki A, Okano H, Yamaguchi Y. The Brain/MINDS 3D digital marmoset brain atlas. Sci Data 2018; 5:180009. [PMID: 29437168 PMCID: PMC5810420 DOI: 10.1038/sdata.2018.9] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 12/18/2017] [Indexed: 11/09/2022] Open
Abstract
We present a new 3D digital brain atlas of the non-human primate, common marmoset monkey (Callithrix jacchus), with MRI and coregistered Nissl histology data. To the best of our knowledge this is the first comprehensive digital 3D brain atlas of the common marmoset having normalized multi-modal data, cortical and sub-cortical segmentation, and in a common file format (NIfTI). The atlas can be registered to new data, is useful for connectomics, functional studies, simulation and as a reference. The atlas was based on previously published work but we provide several critical improvements to make this release valuable for researchers. Nissl histology images were processed to remove illumination and shape artifacts and then normalized to the MRI data. Brain region segmentation is provided for both hemispheres. The data is in the NIfTI format making it easy to integrate into neuroscience pipelines, whereas the previous atlas was in an inaccessible file format. We also provide cortical, mid-cortical and white matter boundary segmentations useful for visualization and analysis.
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Affiliation(s)
- Alexander Woodward
- Neuroinformatics Japan Center, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan
| | - Tsutomu Hashikawa
- Neuroinformatics Japan Center, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan.,Laboratory for Symbolic Cognitive Development, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan
| | - Masahide Maeda
- Neuroinformatics Japan Center, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan
| | - Takaaki Kaneko
- Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan
| | - Keigo Hikishima
- Animal Resources Section, Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna-son, Kunigami, Okinawa 904-0495, Japan
| | - Atsushi Iriki
- Laboratory for Symbolic Cognitive Development, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan
| | - Hideyuki Okano
- Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan
| | - Yoko Yamaguchi
- Neuroinformatics Japan Center, RIKEN Brain Science Institute, Wako-shi, Saitama 351-0198, Japan
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35
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Okano H, Kishi N. Investigation of brain science and neurological/psychiatric disorders using genetically modified non-human primates. Curr Opin Neurobiol 2017; 50:1-6. [PMID: 29125958 DOI: 10.1016/j.conb.2017.10.016] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 10/09/2017] [Accepted: 10/17/2017] [Indexed: 01/08/2023]
Abstract
Although mice have been the most frequently used experimental animals in many research fields due to well-established gene manipulation techniques, recent evidence has revealed that rodent models do not always recapitulate pathophysiology of human neurological and psychiatric diseases due to the differences between humans and rodents. The recent developments in gene manipulation of non-human primate have been attracting much attention in the biomedical research field, because non-human primates have more applicable brain structure and function than rodents. In this review, we summarize recent progress on genetically-modified non-human primates including transgenic and knockout animals using genome editing technology.
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Affiliation(s)
- Hideyuki Okano
- Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
| | - Noriyuki Kishi
- Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
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36
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Majka P, Chaplin TA, Yu HH, Tolpygo A, Mitra PP, Wójcik DK, Rosa MGP. Towards a comprehensive atlas of cortical connections in a primate brain: Mapping tracer injection studies of the common marmoset into a reference digital template. J Comp Neurol 2017; 524:2161-81. [PMID: 27099164 PMCID: PMC4892968 DOI: 10.1002/cne.24023] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2016] [Revised: 04/11/2016] [Accepted: 04/18/2016] [Indexed: 02/02/2023]
Abstract
The marmoset is an emerging animal model for large‐scale attempts to understand primate brain connectivity, but achieving this aim requires the development and validation of procedures for normalization and integration of results from many neuroanatomical experiments. Here we describe a computational pipeline for coregistration of retrograde tracing data on connections of cortical areas into a 3D marmoset brain template, generated from Nissl‐stained sections. The procedure results in a series of spatial transformations that are applied to the coordinates of labeled neurons in the different cases, bringing them into common stereotaxic space. We applied this procedure to 17 injections, placed in the frontal lobe of nine marmosets as part of earlier studies. Visualizations of cortical patterns of connections revealed by these injections are supplied as Supplementary Materials. Comparison between the results of the automated and human‐based processing of these cases reveals that the centers of injection sites can be reconstructed, on average, to within 0.6 mm of coordinates estimated by an experienced neuroanatomist. Moreover, cell counts obtained in different areas by the automated approach are highly correlated (r = 0.83) with those obtained by an expert, who examined in detail histological sections for each individual. The present procedure enables comparison and visualization of large datasets, which in turn opens the way for integration and analysis of results from many animals. Its versatility, including applicability to archival materials, may reduce the number of additional experiments required to produce the first detailed cortical connectome of a primate brain. J. Comp. Neurol. 524:2161–2181, 2016. © 2016 The Authors The Journal of Comparative Neurology Published by Wiley Periodicals, Inc.
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Affiliation(s)
- Piotr Majka
- Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia.,Department of Physiology, Monash University, Clayton, VIC, Australia.,Nencki Institute of Experimental Biology, Warsaw, Poland.,Australian Research Council Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC, Australia
| | - Tristan A Chaplin
- Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia.,Department of Physiology, Monash University, Clayton, VIC, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC, Australia.,Monash Vision Group, Monash University, Clayton, VIC, Australia
| | - Hsin-Hao Yu
- Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia.,Department of Physiology, Monash University, Clayton, VIC, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC, Australia.,Monash Vision Group, Monash University, Clayton, VIC, Australia
| | | | - Partha P Mitra
- Australian Research Council Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC, Australia.,Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | | | - Marcello G P Rosa
- Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia.,Department of Physiology, Monash University, Clayton, VIC, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC, Australia.,Monash Vision Group, Monash University, Clayton, VIC, Australia
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Okano H, Sasaki E, Yamamori T, Iriki A, Shimogori T, Yamaguchi Y, Kasai K, Miyawaki A. Brain/MINDS: A Japanese National Brain Project for Marmoset Neuroscience. Neuron 2017; 92:582-590. [PMID: 27809998 DOI: 10.1016/j.neuron.2016.10.018] [Citation(s) in RCA: 120] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2015] [Revised: 10/04/2015] [Accepted: 10/07/2016] [Indexed: 11/18/2022]
Abstract
Brain/MINDS (Brain Mapping by Integrated Neurotechnologies for Disease Studies) is a national brain project started by Japan in 2014. With the goal of developing the common marmoset as a model animal for neuroscience, the project aims to build a multiscale marmoset brain map, develop new technologies for experimentalists, create transgenic lines for brain disease modeling, and integrate translational findings from the clinical biomarker landscape. Brain/MINDS will collaborate with global brain projects to share technologies and resources.
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Affiliation(s)
- Hideyuki Okano
- Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute, Wako-shi, Saitama, 351-0198, Japan; Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Erika Sasaki
- Central Institute for Experimental Animals, Kawasaki, Kanagawa, 210-0821, Japan; Advanced Research Center, Keio University, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Tetsuo Yamamori
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Brain Science Institute, Wako-shi, Saitama, 351-0198, Japan
| | - Atsushi Iriki
- Laboratory for Symbolic Cognitive Development, RIKEN Brain Science Institute, Wako-shi, Saitama, 351-0198, Japan
| | - Tomomi Shimogori
- Laboratory for Molecular Mechanisms of Thalamus Development, RIKEN Brain Science Institute, Wako-shi, Saitama, 351-0198, Japan
| | - Yoko Yamaguchi
- Neuroinformatics Japan Center, RIKEN Brain Science Institute, Wako-shi, Saitama, 351-0198, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Atsushi Miyawaki
- Laboratory for Cell Function Dynamics, RIKEN Brain Science Institute, Wako-shi, Saitama, 351-0198, Japan
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38
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Seki F, Hikishima K, Komaki Y, Hata J, Uematsu A, Okahara N, Yamamoto M, Shinohara H, Sasaki E, Okano H. Developmental trajectories of macroanatomical structures in common marmoset brain. Neuroscience 2017; 364:143-156. [PMID: 28939259 DOI: 10.1016/j.neuroscience.2017.09.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 08/11/2017] [Accepted: 09/12/2017] [Indexed: 11/17/2022]
Abstract
Morphometry studies of human brain development have revealed characteristics of some growth patterns, such as gray matter (GM) and white matter (WM), but the features that make human neurodevelopment distinct from that in other species remain unclear. Studies of the common marmoset (Callithrix jacchus), a small New World primate, can provide insights into unique features such as cooperative behaviors complementary to those from comparative analyses using mouse and rhesus monkey. In the present study, we analyzed developmental patterns of GM, WM, and cortical regions with volume measurements using longitudinal sample (23 marmosets; 11 male, 12 female) between the ages of one and 30months. Regional analysis using a total of 164 magnetic resonance imaging datasets revealed that GM volume increased before puberty (5.4months), but subsequently declined until adulthood, whereas WM volume increased rapidly before stabilizing around puberty (9.9months). Cortical regions showed similar patterns of increase and decrease, patterns with global GM but differed in the timing of volume peak and degree of decline across regions. The progressive-regressive pattern detected in both global and cortical GM was well correlated to phases of synaptogenesis and synaptic pruning reported in previous marmoset studies. A rapid increase in WM in early development may represent a distinctive aspect of human neurodevelopment. These findings suggest that studies of marmoset brain development can provide valuable comparative information that will facilitate a deeper understanding of human brain growth and neurodevelopmental disorders.
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Affiliation(s)
- Fumiko Seki
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan; Central Institute for Experimental Animals, Kawasaki, Japan; Laboratory for Marmoset Neural Architecture, Brain Science Institute RIKEN, Wako, Japan
| | - Keigo Hikishima
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan; Central Institute for Experimental Animals, Kawasaki, Japan; Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | - Yuji Komaki
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan; Central Institute for Experimental Animals, Kawasaki, Japan
| | - Junichi Hata
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan; Central Institute for Experimental Animals, Kawasaki, Japan; Laboratory for Marmoset Neural Architecture, Brain Science Institute RIKEN, Wako, Japan
| | - Akiko Uematsu
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan; Central Institute for Experimental Animals, Kawasaki, Japan; Laboratory for Marmoset Neural Architecture, Brain Science Institute RIKEN, Wako, Japan
| | - Norio Okahara
- Central Institute for Experimental Animals, Kawasaki, Japan
| | | | | | - Erika Sasaki
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan; Central Institute for Experimental Animals, Kawasaki, Japan
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan; Laboratory for Marmoset Neural Architecture, Brain Science Institute RIKEN, Wako, Japan.
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39
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Uematsu A, Hata J, Komaki Y, Seki F, Yamada C, Okahara N, Kurotaki Y, Sasaki E, Okano H. Mapping orbitofrontal-limbic maturation in non-human primates: A longitudinal magnetic resonance imaging study. Neuroimage 2017; 163:55-67. [PMID: 28923274 DOI: 10.1016/j.neuroimage.2017.09.028] [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: 05/09/2017] [Revised: 09/08/2017] [Accepted: 09/14/2017] [Indexed: 12/22/2022] Open
Abstract
Brain development involves spatiotemporally complex microstructural changes. A number of neuropsychiatric disorders are linked to the neural processes of development and aging. Thus, it is important to understanding the typical developmental patterns of various brain structures, which will help to define critical periods of vulnerability for neural maturation, as well as anatomical mechanisms of brain structure-related neuropathology. In this study, we used magnetic resonance imaging to assess development of the orbitofrontal cortex, cingulate cortex, amygdala, and hippocampus in a non-human primate species, the common marmoset (Callithrix jacchus). We collected a total of 114 T2-weighted and 91 diffusion-weighted scans from 23 animals from infancy to early adulthood. Quantitative and qualitative evaluation of age-related brain growth patterns showed non-linear structural developmental changes in all measured brain regions, consistent with reported human data. Overall, robust volumetric growth was observed from 1 to 3 months of age (from infancy to the early juvenile period). This rapid brain growth was associated with the largest decrease in mean, axial, and radial diffusivities of diffusion tensor imaging in all brain regions, suggesting an increase in the number and size of cells, dendrites, and spines during this period. After this developmental period, the volume of various brain regions steadily increased until adolescence (7-13 months of age, depending on the region). Further, structural connectivity derived from tractography data in various brain regions continuously changed from infancy to adolescence, suggesting that the increase in brain volume was related to continued axonal myelination during adolescence. Thereafter, the volume of the cortical regions decreased considerably, while there was no change in subcortical regions. Familial factors, rather than sex, contributed the development of the front-limbic brain regions. Overall, this study provides further data on the factors and timing important for normal brain development, and suggest that the common marmoset is a useful animal model for human neural development.
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Affiliation(s)
- Akiko Uematsu
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; RIKEN BSI Laboratory for Marmoset Neural Architecture, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan; Central Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki, 210-0821, Japan
| | - Junichi Hata
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; RIKEN BSI Laboratory for Marmoset Neural Architecture, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan; Central Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki, 210-0821, Japan
| | - Yuji Komaki
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; RIKEN BSI Laboratory for Marmoset Neural Architecture, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan
| | - Fumiko Seki
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; RIKEN BSI Laboratory for Marmoset Neural Architecture, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan; Central Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki, 210-0821, Japan
| | - Chihoko Yamada
- Central Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki, 210-0821, Japan
| | - Norio Okahara
- Central Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki, 210-0821, Japan
| | - Yoko Kurotaki
- Central Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki, 210-0821, Japan
| | - Erika Sasaki
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; RIKEN BSI Laboratory for Marmoset Neural Architecture, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan; Central Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki, 210-0821, Japan
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan; RIKEN BSI Laboratory for Marmoset Neural Architecture, 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan.
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Distinct Neural Activities in Premotor Cortex during Natural Vocal Behaviors in a New World Primate, the Common Marmoset (Callithrix jacchus). J Neurosci 2017; 36:12168-12179. [PMID: 27903726 DOI: 10.1523/jneurosci.1646-16.2016] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2016] [Revised: 10/06/2016] [Accepted: 10/12/2016] [Indexed: 11/21/2022] Open
Abstract
Although evidence from human studies has long indicated the crucial role of the frontal cortex in speech production, it has remained uncertain whether the frontal cortex in nonhuman primates plays a similar role in vocal communication. Previous studies of prefrontal and premotor cortices of macaque monkeys have found neural signals associated with cue- and reward-conditioned vocal production, but not with self-initiated or spontaneous vocalizations (Coudé et al., 2011; Hage and Nieder, 2013), which casts doubt on the role of the frontal cortex of the Old World monkeys in vocal communication. A recent study of marmoset frontal cortex observed modulated neural activities associated with self-initiated vocal production (Miller et al., 2015), but it did not delineate whether these neural activities were specifically attributed to vocal production or if they may result from other nonvocal motor activity such as orofacial motor movement. In the present study, we attempted to resolve these issues and examined single neuron activities in premotor cortex during natural vocal exchanges in the common marmoset (Callithrix jacchus), a highly vocal New World primate. Neural activation and suppression were observed both before and during self-initiated vocal production. Furthermore, by comparing neural activities between self-initiated vocal production and nonvocal orofacial motor movement, we identified a subpopulation of neurons in marmoset premotor cortex that was activated or suppressed by vocal production, but not by orofacial movement. These findings provide clear evidence of the premotor cortex's involvement in self-initiated vocal production in natural vocal behaviors of a New World primate. SIGNIFICANCE STATEMENT Human frontal cortex plays a crucial role in speech production. However, it has remained unclear whether the frontal cortex of nonhuman primates is involved in the production of self-initiated vocalizations during natural vocal communication. Using a wireless multichannel neural recording technique, we observed in the premotor cortex neural activation and suppression both before and during self-initiated vocalizations when marmosets, a highly vocal New World primate species, engaged in vocal exchanges with conspecifics. A novel finding of the present study is the discovery of a subpopulation of premotor cortex neurons that was activated by vocal production, but not by orofacial movement. These observations provide clear evidence of the premotor cortex's involvement in vocal production in a New World primate species.
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41
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Ausderau KK, Dammann C, McManus K, Schneider M, Emborg ME, Schultz-Darken N. Cross-species comparison of behavioral neurodevelopmental milestones in the common marmoset monkey and human child. Dev Psychobiol 2017; 59:807-821. [PMID: 28763098 DOI: 10.1002/dev.21545] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2017] [Accepted: 06/14/2017] [Indexed: 02/04/2023]
Abstract
The common marmoset (Callithrix jacchus) is an increasingly popular non-human primate species for developing transgenic and genomic edited models of neurological disorders. These models present an opportunity to assess from birth the impact of genetic mutations and to identify candidate predictive biomarkers of early disease onset. In order to apply findings from marmosets to humans, a cross-species comparison of typical development is essential. Aiming to identify similarities, differences, and gaps in knowledge of neurodevelopment, we evaluated peer-reviewed literature focused on the first 6 months of life of marmosets and compared to humans. Five major developmental constructs, including reflexes and reactions, motor, feeding, self-help, and social, were compared. Numerous similarities were identified in the developmental sequences with differences often influenced by the purpose of the behavior, specifically for marmoset survival. The lack of detailed knowledge of marmoset development was exposed as related to the vast resources for humans.
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Affiliation(s)
- Karla K Ausderau
- Occupational Therapy Program, Department of Kinesiology, University of Wisconsin, Madison, Wisconsin.,Waisman Center, University of Wisconsin, Madison, Wisconsin
| | - Caitlin Dammann
- Occupational Therapy Program, Department of Kinesiology, University of Wisconsin, Madison, Wisconsin
| | - Kathy McManus
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, Wisconsin
| | - Mary Schneider
- Occupational Therapy Program, Department of Kinesiology, University of Wisconsin, Madison, Wisconsin.,Harlow Center for Biological Psychology, University of Wisconsin, Madison, Wisconsin
| | - Marina E Emborg
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, Wisconsin.,Department of Medical Physics, University of Wisconsin, Madison, Wisconsin
| | - Nancy Schultz-Darken
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, Wisconsin
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42
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Schiel N, Souto A. The common marmoset: An overview of its natural history, ecology and behavior. Dev Neurobiol 2016; 77:244-262. [PMID: 27706919 DOI: 10.1002/dneu.22458] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Revised: 09/25/2016] [Accepted: 09/26/2016] [Indexed: 01/24/2023]
Abstract
Callithrix jacchus are small-bodied Neotropical primates popularly known as common marmosets. They are endemic to Northeast Brazil and occur in contrasting environments such as the humid Atlantic Forest and the dry scrub forest of the Caatinga. Common marmosets live in social groups, usually containing only one breeding pair. These primates have a parental care system in which individuals help by providing assistance to the infants even when they are not related to them. Free-ranging groups use relatively small home ranges (0.5-5 hectares) and have an omnivorous diet. Because of the shape of their teeth, they actively gouge tree bark to extract and consume exudates. When foraging for live prey, they adjust their strategy according to the type of prey. The successful use of appropriate hunting strategies depends not only on age but also on prey type and seems to be mediated by learning and experience. Indeed, common marmosets have shown unexpected cognitive abilities, such as true imitation. All these aspects seem to have contributed to the ecological success of this species. Callithrix jacchus has been widely studied, especially in captivity; even so, a number of questions remain to be answered about its biology, ecology, and behavior, both in captivity and the wild. A richer understanding of marmosets' natural behavior and ecology can have a significant impact on shaping ongoing and future neuroscience research. © 2016 Wiley Periodicals, Inc. Develop Neurobiol 77: 244-262, 2017.
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Affiliation(s)
- Nicola Schiel
- Department of Biology, Federal Rural University of Pernambuco, Recife, Brazil
| | - Antonio Souto
- Department of Zoology, Federal University of Pernambuco, Recife, Brazil
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43
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The marmoset: An emerging model to unravel the evolution and development of the primate neocortex. Dev Neurobiol 2016; 77:263-272. [DOI: 10.1002/dneu.22425] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2016] [Revised: 07/25/2016] [Accepted: 07/29/2016] [Indexed: 12/13/2022]
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44
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Grillner S, Ip N, Koch C, Koroshetz W, Okano H, Polachek M, Poo MM, Sejnowski TJ. Worldwide initiatives to advance brain research. Nat Neurosci 2016; 19:1118-22. [PMID: 27571190 PMCID: PMC6047900 DOI: 10.1038/nn.4371] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
To highlight worldwide efforts to fund neuroscience research and address the growing threat of brain disorders, Nature Neuroscience asked leaders of six global brain initiatives to write about their programs.
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Affiliation(s)
- Sten Grillner
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Nancy Ip
- Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, China
| | - Christof Koch
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Walter Koroshetz
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan and the Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute, Wako, Saitama, Japan
| | | | - Mu-Ming Poo
- Institute of Neuroscience, Chinese Academy of Science, Shanghai, China
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45
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Abstract
Techniques based on imaging serial sections of brain tissue provide insight into brain structure and function. However, to compare or combine them with results from three dimensional imaging methods, reconstruction into a volumetric form is required. Currently, there are no tools for performing such a task in a streamlined way. Here we propose the Possum volumetric reconstruction framework which provides a selection of 2D to 3D image reconstruction routines allowing one to build workflows tailored to one's specific requirements. The main components include routines for reconstruction with or without using external reference and solutions for typical issues encountered during the reconstruction process, such as propagation of the registration errors due to distorted sections. We validate the implementation using synthetic datasets and actual experimental imaging data derived from publicly available resources. We also evaluate efficiency of a subset of the algorithms implemented. The Possum framework is distributed under MIT license and it provides researchers with a possibility of building reconstruction workflows from existing components, without the need for low-level implementation. As a consequence, it also facilitates sharing and data exchange between researchers and laboratories.
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Affiliation(s)
- Piotr Majka
- />Nencki Institute of Experimental Biology, 3 Pasteur Street, 02-093 Warsaw, Poland
- />Department of Physiology, Monash University, Clayton, Victoria 3800 Australia
| | - Daniel K. Wójcik
- />Nencki Institute of Experimental Biology, 3 Pasteur Street, 02-093 Warsaw, Poland
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46
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Hung CC, Yen CC, Ciuchta JL, Papoti D, Bock NA, Leopold DA, Silva AC. Functional MRI of visual responses in the awake, behaving marmoset. Neuroimage 2015; 120:1-11. [PMID: 26149609 DOI: 10.1016/j.neuroimage.2015.06.090] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 06/09/2015] [Accepted: 06/30/2015] [Indexed: 10/23/2022] Open
Abstract
The visual brain is composed of interconnected subcortical and cortical structures that receive and process image information originating in the retina. The visual system of nonhuman primates, in particular macaques, has been studied in great detail in order to elucidate principles of human sensation and perception. The common marmoset (Callithrix jacchus) is a small New World monkey of growing interest as a primate model for neuroscience. Marmosets have advantages over macaques because of their small size, lissencephalic cortex, and growing potential for viral and genetic manipulations. Previous anatomical studies and electrophysiological recordings in anesthetized marmosets have shown that this species' cortical visual hierarchy closely resembles that of other primates, including humans. Until now, however, there have been no attempts to systematically study visual responses throughout the marmoset brain using fMRI. Here we show that awake marmosets readily learn to carry out a simple visual task inside the bore of an MRI scanner during functional mapping experiments. Functional scanning at 500 μm in-plane resolution in a 30 cm horizontal bore at 7 T revealed robust positive blood oxygenation level-dependent (BOLD) fMRI responses to visual stimuli throughout visual cortex and associated subcortical areas. Nonvisual sensory areas showed negative contrasts to visual stimuli compared to the fixation dot only baseline. Structured images of objects and faces led to stronger responses than scrambled control images at stages beyond early visual cortex. Our study establishes fMRI mapping of visual responses in awake, behaving marmosets as a straightforward and valuable tool for assessing the functional organization of the primate brain at high resolution.
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Affiliation(s)
- Chia-Chun Hung
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA; Section on Cognitive Neurophysiology and Imaging, Laboratory of Neuropsychology, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Cecil C Yen
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jennifer L Ciuchta
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Daniel Papoti
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Nicholas A Bock
- Medical Physics and Applied Radiation Sciences, McMaster University, Hamilton, Ontario, L8S 4K1, Canada
| | - David A Leopold
- Section on Cognitive Neurophysiology and Imaging, Laboratory of Neuropsychology, 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
| | - Afonso C Silva
- Cerebral Microcirculation Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA.
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47
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