1
|
Seki F, Yurimoto T, Kamioka M, Inoue T, Komaki Y, Iriki A, Sasaki E, Yamazaki Y. Development of a non-invasive novel individual marmoset holder for evaluation by awake functional magnetic resonance brain imaging. J Neurosci Methods 2025; 417:110390. [PMID: 39956398 DOI: 10.1016/j.jneumeth.2025.110390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/07/2025] [Accepted: 02/08/2025] [Indexed: 02/18/2025]
Abstract
BACKGROUND Although functional MRI (fMRI) in awake marmosets (Callithrix jacchus) is fascinating for functional brain mapping and evaluation of brain disease models, it is difficult to launch awake fMRI on scanners with bore sizes of less than 16 cm. A universal marmoset holder for the small-bore size MRI was designed, and it was evaluated whether this holder could conduct auditory stimulation fMRI in the awake state using 16 cm bore size MRI scanner. NEW METHOD The marmoset holder was designed with an outer diameter of 71.9 mm. A holder was designed to allow adjustment according to the individual head shape, enabling the use of the holder universally. An awake fMRI study of auditory response was conducted to evaluate the practicality of the new holder. Whole-brain activation was investigated when marmosets heard the marmoset social communication "phee call" an artificial tone sound and reversed of those. RESULTS The prefrontal cortex was significantly activated in response to phee calls, whereas only the auditory cortex was activated in response to pure tones. In contrast, the auditory response was decreased when marmosets heard phee call. Their stimulus-specific responses indicated they perceived and differentiated sound characteristics in the fMRI environment. COMPARISON WITH EXISTING METHODS A holder does not require surgical intervention or a custom-made helmet to minimize head movement in a small space. CONCLUSION Our newly developed holder made it possible to perform longitudinal fMRI experiments on multiple marmosets in a less invasive manner.
Collapse
Affiliation(s)
- Fumiko Seki
- Imaging Center, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan.
| | - Terumi Yurimoto
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan.
| | - Michiko Kamioka
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan.
| | - Takashi Inoue
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan; Laboratory of Parasitology, Faculty of Veterinary Medicine, Okayama University of Science.
| | - Yuji Komaki
- Imaging Center, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan.
| | - Atsushi Iriki
- Laboratory for Symbolic Cognitive Development, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
| | - Erika Sasaki
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan.
| | - Yumiko Yamazaki
- Laboratory for Symbolic Cognitive Development, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan; Department of Psychological Sciences, Niigata University of Health and Welfare, Niigata, Japan.
| |
Collapse
|
2
|
Biazzi RB, Takahashi DY, Ghazanfar AA. Altricial brains and the evolution of infant vocal learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.29.620895. [PMID: 39553938 PMCID: PMC11565719 DOI: 10.1101/2024.10.29.620895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2024]
Abstract
Human infant vocal development is strongly influenced by interactions with caregivers who reinforce more speech-like sounds. This trajectory of vocal development in humans is radically different from those of our close phylogenetic relatives, Old World monkeys and apes. In these primates most closely related to humans on the evolutionary tree, social feedback plays no significant role in their vocal development. Oddly, infant marmoset monkeys, a more distantly related New World primate, do exhibit socially guided vocal learning. To explore what developmental mechanism could have evolved to account for these behavioral differences, we hypothesized that the evolution of human and marmoset vocal learning in early infancy in both species is because they are born neurally altricial relative to other primate and in a cooperative breeding social environment. Our analysis found that, indeed, human and marmoset brain are growing faster at birth when compared with chimpanzees and rhesus macaques, making them altricial relative to these primates. We formalized our hypothesis using a logistic growth model showing that the maturation of a system dependent on the rate of brain growth and the amount of social stimuli benefits from an altricial brain and a cooperative breeding environment. Our data suggest that in primates, the evolution of socially guided vocal learning during early infancy in humans and marmosets was afforded by infants with a relatively altricial brain and behavior, sustained and stimulated by cooperative breeding environments. Significance statement Humans rely on social feedback from caregivers to learn how to produce species-typical sounds, whereas other primates like macaque monkeys or chimpanzees do not. What accounts for this difference in developmental strategies? We tested the hypothesis that being born with a more immature (thus more plastic) brain may be the reason by using marmoset monkeys. This species is more distantly related to humans but exhibit the same type of vocal learning and who have a similar socially rich infant care environment. We found that, indeed, human and marmoset brain are growing faster at birth when compared with chimpanzees and rhesus macaques, making them altricial relative to these primates and this explains their similar vocal developmental strategies.
Collapse
|
3
|
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; 206:20-29. [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] [MESH Headings] [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.
Collapse
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.
| |
Collapse
|
4
|
Ghazanfar AA, Gomez-Marin A. The central role of the individual in the history of brains. Neurosci Biobehav Rev 2024; 163:105744. [PMID: 38825259 PMCID: PMC11246226 DOI: 10.1016/j.neubiorev.2024.105744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 05/26/2024] [Accepted: 05/30/2024] [Indexed: 06/04/2024]
Abstract
Every species' brain, body and behavior is shaped by the contingencies of their evolutionary history; these exert pressures that change their developmental trajectories. There is, however, another set of contingencies that shape us and other animals: those that occur during a lifetime. In this perspective piece, we show how these two histories are intertwined by focusing on the individual. We suggest that organisms--their brains and behaviors--are not solely the developmental products of genes and neural circuitry but individual centers of action unfolding in time. To unpack this idea, we first emphasize the importance of variation and the central role of the individual in biology. We then go over "errors in time" that we often make when comparing development across species. Next, we reveal how an individual's development is a process rather than a product by presenting a set of case studies. These show developmental trajectories as emerging in the contexts of the "the actual now" and "the presence of the past". Our consideration reveals that individuals are slippery-they are never static; they are a set of on-going, creative activities. In light of this, it seems that taking individual development seriously is essential if we aspire to make meaningful comparisons of neural circuits and behavior within and across species.
Collapse
Affiliation(s)
- Asif A Ghazanfar
- Princeton Neuroscience Institute, and Department of Psychology, Princeton University, Princeton, NJ 08544, USA.
| | - Alex Gomez-Marin
- Behavior of Organisms Laboratory, Instituto de Neurociencias CSIC-UMH, Alicante 03550, Spain.
| |
Collapse
|
5
|
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.
Collapse
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.
| |
Collapse
|
6
|
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 PMCID: PMC11494440 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.
Collapse
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
| |
Collapse
|
7
|
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.
Collapse
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
| |
Collapse
|
8
|
Shinohara H, Meguro-Horike M, Inoue T, Shimazu M, Hattori M, Hibino H, Fukasawa K, Sasaki E, Horike SI. Early parental deprivation during primate infancy has a lifelong impact on gene expression in the male marmoset brain. Sci Rep 2024; 14:330. [PMID: 38172165 PMCID: PMC10764730 DOI: 10.1038/s41598-023-51025-z] [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: 08/11/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024] Open
Abstract
Adverse early life experiences are well-established risk factors for neurological disorders later in life. However, the molecular mechanisms underlying the impact of adverse experiences on neurophysiological systems throughout life remain incompletely understood. Previous studies suggest that social attachment to parents in early development are indispensable for infants to grow into healthy adults. In situations where multiple offspring are born in a single birth in common marmosets, human hand-rearing is employed to ensure the survival of the offspring in captivity. However, hand-reared marmosets often exhibit behavioral abnormalities, including abnormal vocalizations, excessive attachment to the caretaker, and aggressive behavior. In this study, comprehensive transcriptome analyses were conducted on hippocampus tissues, a neuroanatomical region sensitive to social attachment, obtained from human hand-reared (N = 6) and parent-reared male marmosets (N = 5) at distinct developmental stages. Our analyses revealed consistent alterations in a subset of genes, including those related to neurodevelopmental diseases, across different developmental stages, indicating their continuous susceptibility to the effects of early parental deprivation. These findings highlight the dynamic nature of gene expression in response to early life experiences and suggest that the impact of early parental deprivation on gene expression may vary across different stages of development.
Collapse
Affiliation(s)
- Haruka Shinohara
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals, Kawasaki, 210-0821, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Kanazawa, 920-8640, Japan
| | - Makiko Meguro-Horike
- Division of Integrated Omics Research, Research Center for Experimental Modeling of Human Disease, Kanazawa University, Kanazawa, 920-0934, Japan
| | - Takashi Inoue
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals, Kawasaki, 210-0821, Japan
| | - Miyuki Shimazu
- Division of Integrated Omics Research, Research Center for Experimental Modeling of Human Disease, Kanazawa University, Kanazawa, 920-0934, Japan
| | - Machiko Hattori
- Yaotsu Breeding Center, CLEA Japan, Inc, Yaotsu-cho, Kamo-gun, Gifu, 505-0307, Japan
| | - Hitoshi Hibino
- Yaotsu Breeding Center, CLEA Japan, Inc, Yaotsu-cho, Kamo-gun, Gifu, 505-0307, Japan
| | - Kazumasa Fukasawa
- Yaotsu Breeding Center, CLEA Japan, Inc, Yaotsu-cho, Kamo-gun, Gifu, 505-0307, Japan
| | - Erika Sasaki
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals, Kawasaki, 210-0821, Japan
| | - Shin-Ichi Horike
- Division of Integrated Omics Research, Research Center for Experimental Modeling of Human Disease, Kanazawa University, Kanazawa, 920-0934, Japan.
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Kanazawa, 920-8640, Japan.
| |
Collapse
|
9
|
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 PMCID: PMC10250358 DOI: 10.1038/s41597-023-02121-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [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.
Collapse
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.
| |
Collapse
|
10
|
Ash H, Chang A, Ortiz RJ, Kulkarni P, Rauch B, Colman R, Ferris CF, Ziegler TE. Structural and functional variations in the prefrontal cortex are associated with learning in pre-adolescent common marmosets (Callithrix jacchus). Behav Brain Res 2022; 430:113920. [PMID: 35595058 PMCID: PMC9362994 DOI: 10.1016/j.bbr.2022.113920] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 04/06/2022] [Accepted: 05/04/2022] [Indexed: 12/27/2022]
Abstract
There is substantial evidence linking the prefrontal cortex (PFC) to a variety of cognitive abilities, with adolescence being a critical period in its development. In the current study, we investigated the neural basis of differences in learning in pre-adolescent common marmosets. At 8 months old, marmosets were given anatomical and resting state MRI scans (n = 24). At 9 months old, association learning and inhibitory control was tested using a 'go/no go' visual discrimination (VD) task. Marmosets were grouped into 'learners' (n = 12) and "non-learners" (n = 12), and associations between cognitive performance and sub-regional PFC volumes, as well as PFC connectivity patterns, were investigated. "Learners" had significantly (p < 0.05) larger volumes of areas 11, 25, 47 and 32 than 'non-learners', although 'non-learners' had significantly larger volumes of areas 24a and 8 v than "learners". There was also a significant correlation between average % correct responses to the 'punished' stimulus and volume of area 47. Further, 'non-learners' had significantly greater global PFC connections, as well as significantly greater numbers of connections between the PFC and basal ganglia, cerebellum and hippocampus, compared to 'learners'. These results suggest that larger sub-regions of the orbitofrontal cortex and ventromedial PFC, as well more refined PFC connectivity patterns to other brain regions associated with learning, may be important in successful response inhibition. This study therefore offers new information on the neurodevelopment of individual differences in cognition during pre-adolescence in non-human primates.
Collapse
Affiliation(s)
- Hayley Ash
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI, USA.
| | - Arnold Chang
- Center for Translational NeuroImaging, Northeastern University, Boston, MA, USA
| | - Richard J Ortiz
- Center for Translational NeuroImaging, Northeastern University, Boston, MA, USA; Department of Chemistry and Biochemistry, New Mexico State University, Las Cruces, NM, USA
| | - Praveen Kulkarni
- Center for Translational NeuroImaging, Northeastern University, Boston, MA, USA
| | - Beth Rauch
- Department of Medical Physics, University of Wisconsin, Madison, WI, USA
| | - Ricki Colman
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI, USA; Department of Cell and Regenerative Biology, University of Wisconsin, Madison, WI, USA
| | - Craig F Ferris
- Center for Translational NeuroImaging, Northeastern University, Boston, MA, USA
| | - Toni E Ziegler
- Wisconsin National Primate Research Center, University of Wisconsin, Madison, WI, USA
| |
Collapse
|
11
|
Akaba Y, Shiohama T, Komaki Y, Seki F, Ortug A, Sawada D, Uchida W, Kamagata K, Shimoji K, Aoki S, Takahashi S, Suzuki T, Natsume J, Takahashi E, Tsujimura K. Comprehensive Volumetric Analysis of Mecp2-Null Mouse Model for Rett Syndrome by T2-Weighted 3D Magnetic Resonance Imaging. Front Neurosci 2022; 16:885335. [PMID: 35620663 PMCID: PMC9127869 DOI: 10.3389/fnins.2022.885335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 04/20/2022] [Indexed: 01/01/2023] Open
Abstract
Rett syndrome (RTT) is a severe progressive neurodevelopmental disorder characterized by various neurological symptoms. Almost all RTT cases are caused by mutations in the X-linked methyl-CpG-binding protein 2 (MeCP2) gene, and several mouse models have been established to understand the disease. However, the neuroanatomical abnormalities in each brain region of RTT mouse models have not been fully understood. Here, we investigated the global and local neuroanatomy of the Mecp2 gene-deleted RTT model (Mecp2-KO) mouse brain using T2-weighted 3D magnetic resonance imaging with different morphometry to clarify the brain structural abnormalities that are involved in the pathophysiology of RTT. We found a significant reduction in global and almost all local volumes in the brain of Mecp2-KO mice. In addition, a detailed comparative analysis identified specific volume reductions in several brain regions in the Mecp2-deficient brain. Our analysis also revealed that the Mecp2-deficient brain shows changes in hemispheric asymmetry in several brain regions. These findings suggest that MeCP2 affects not only the whole-brain volume but also the region-specific brain structure. Our study provides a framework for neuroanatomical studies of a mouse model of RTT.
Collapse
Affiliation(s)
- Yuichi Akaba
- Group of Brain Function and Development, Nagoya University Neuroscience Institute of the Graduate School of Science, Nagoya, Japan
- Research Unit for Developmental Disorders, Institute for Advanced Research, Nagoya University, Nagoya, Japan
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
| | - Tadashi Shiohama
- Department of Pediatrics, Chiba University Hospital, Chiba, Japan
| | - Yuji Komaki
- Central Institute for Experimental Animals, Kawasaki, Japan
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Fumiko Seki
- Central Institute for Experimental Animals, Kawasaki, Japan
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Alpen Ortug
- Department of Radiology, Harvard Medical School, Boston, MA, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Daisuke Sawada
- Department of Pediatrics, Chiba University Hospital, Chiba, Japan
| | - Wataru Uchida
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Keigo Shimoji
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
- Department of Diagnostic Radiology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Satoru Takahashi
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
| | - Takeshi Suzuki
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Jun Natsume
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of Developmental Disability Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Emi Takahashi
- Department of Radiology, Harvard Medical School, Boston, MA, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Keita Tsujimura
- Group of Brain Function and Development, Nagoya University Neuroscience Institute of the Graduate School of Science, Nagoya, Japan
- Research Unit for Developmental Disorders, Institute for Advanced Research, Nagoya University, Nagoya, Japan
- Department of Radiology, Harvard Medical School, Boston, MA, United States
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
- *Correspondence: Keita Tsujimura,
| |
Collapse
|
12
|
Koike S, Uematsu A, Sasabayashi D, Maikusa N, Takahashi T, Ohi K, Nakajima S, Noda Y, Hirano Y. Recent Advances and Future Directions in Brain MR Imaging Studies in Schizophrenia: Toward Elucidating Brain Pathology and Developing Clinical Tools. Magn Reson Med Sci 2021; 21:539-552. [PMID: 34408115 DOI: 10.2463/mrms.rev.2021-0050] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Schizophrenia is a common severe psychiatric disorder that affects approximately 1% of general population through the life course. Historically, in Kraepelin's time, schizophrenia was a disease unit conceptualized as dementia praecox; however, since then, the disease concept has changed. Recent MRI studies had shown that the neuropathology of the brain in this disorder was characterized by mild progression before and after the onset of the disease, and that the brain alterations were relatively smaller than assumed. Although genetic factors contribute to the brain alterations in schizophrenia, which are thought to be trait differences, other changes include factors that are common in psychiatric diseases. Furthermore, it has been shown that the brain differences specific to schizophrenia were relatively small compared to other changes, such as those caused by brain development, aging, and gender. In addition, compared to the disease and participant factors, machine and imaging protocol differences could affect MRI signals, which should be addressed in multi-site studies. Recent advances in MRI modalities, such as multi-shell diffusion-weighted imaging, magnetic resonance spectroscopy, and multimodal brain imaging analysis, may be candidates to sharpen the characterization of schizophrenia-specific factors and provide new insights. The Brain/MINDS Beyond Human Brain MRI (BMB-HBM) project has been launched considering the differences and noises irrespective of the disease pathologies and includes the future perspectives of MRI studies for various psychiatric and neurological disorders. The sites use restricted MRI machines and harmonized multi-modal protocols, standardized image preprocessing, and traveling subject harmonization. Data sharing to the public will be planned in FY 2024. In the future, we believe that combining a high-quality human MRI dataset with genetic data, randomized controlled trials, and MRI for non-human primates and animal models will enable us to understand schizophrenia, elucidate its neural bases and therapeutic targets, and provide tools for clinical application at bedside.
Collapse
Affiliation(s)
- Shinsuke Koike
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo.,University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM).,University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB).,The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), The University of Tokyo
| | - Akiko Uematsu
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences.,Research Center for Idling Brain Science (RCIBS), University of Toyama
| | - Norihide Maikusa
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences.,Research Center for Idling Brain Science (RCIBS), University of Toyama
| | - Kazutaka Ohi
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine
| | | | - Yoshihiro Noda
- Department of Neuropsychiatry, Keio University School of Medicine
| | - Yoji Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University.,Institute of Industrial Science, The University of Tokyo
| |
Collapse
|
13
|
Song X, García-Saldivar P, Kindred N, Wang Y, Merchant H, Meguerditchian A, Yang Y, Stein EA, Bradberry CW, Ben Hamed S, Jedema HP, Poirier C. Strengths and challenges of longitudinal non-human primate neuroimaging. Neuroimage 2021; 236:118009. [PMID: 33794361 PMCID: PMC8270888 DOI: 10.1016/j.neuroimage.2021.118009] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 03/16/2021] [Accepted: 03/23/2021] [Indexed: 01/20/2023] Open
Abstract
Longitudinal non-human primate neuroimaging has the potential to greatly enhance our understanding of primate brain structure and function. Here we describe its specific strengths, compared to both cross-sectional non-human primate neuroimaging and longitudinal human neuroimaging, but also its associated challenges. We elaborate on factors guiding the use of different analytical tools, subject-specific versus age-specific templates for analyses, and issues related to statistical power.
Collapse
Affiliation(s)
- Xiaowei Song
- Preclinical Pharmacology Section, Intramural Research Program, NIDA, NIH, Baltimore, MD 21224, USA
| | - Pamela García-Saldivar
- Instituto de Neurobiología, UNAM, Campus Juriquilla. Boulevard Juriquilla No. 3001 Querétaro, Qro. 76230, México
| | - Nathan Kindred
- Biosciences Institute & Centre for Behaviour and Evolution, Faculty of Medical Sciences, Newcastle University, United Kingdom
| | - Yujiang Wang
- CNNP Lab (www.cnnp-lab.com), Interdisciplinary Complex Systems Group, School of Computing, Newcastle University, United Kingdom
| | - Hugo Merchant
- Instituto de Neurobiología, UNAM, Campus Juriquilla. Boulevard Juriquilla No. 3001 Querétaro, Qro. 76230, México
| | - Adrien Meguerditchian
- Laboratoire de Psychologie Cognitive, UMR7290, Université Aix-Marseille/CNRS, Institut Language, Communication and the Brain 13331 Marseille, France
| | - Yihong Yang
- Neuroimaging Research Branch, Intramural Research Program, NIDA, NIH, Baltimore, MD 21224, USA
| | - Elliot A Stein
- Neuroimaging Research Branch, Intramural Research Program, NIDA, NIH, Baltimore, MD 21224, USA
| | - Charles W Bradberry
- Preclinical Pharmacology Section, Intramural Research Program, NIDA, NIH, Baltimore, MD 21224, USA
| | - Suliann Ben Hamed
- Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Université de Lyon - CNRS, France
| | - Hank P Jedema
- Preclinical Pharmacology Section, Intramural Research Program, NIDA, NIH, Baltimore, MD 21224, USA.
| | - Colline Poirier
- Biosciences Institute & Centre for Behaviour and Evolution, Faculty of Medical Sciences, Newcastle University, United Kingdom.
| |
Collapse
|
14
|
Park JE, Sasaki E. Assisted Reproductive Techniques and Genetic Manipulation in the Common Marmoset. ILAR J 2021; 61:286-303. [PMID: 33693670 PMCID: PMC8918153 DOI: 10.1093/ilar/ilab002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 10/27/2020] [Accepted: 11/05/2020] [Indexed: 12/12/2022] Open
Abstract
Abstract
Genetic modification of nonhuman primate (NHP) zygotes is a useful method for the development of NHP models of human diseases. This review summarizes the recent advances in the development of assisted reproductive and genetic manipulation techniques in NHP, providing the basis for the generation of genetically modified NHP disease models. In this study, we review assisted reproductive techniques, including ovarian stimulation, in vitro maturation of oocytes, in vitro fertilization, embryo culture, embryo transfer, and intracytoplasmic sperm injection protocols in marmosets. Furthermore, we review genetic manipulation techniques, including transgenic strategies, target gene knock-out and knock-in using gene editing protocols, and newly developed gene-editing approaches that may potentially impact the production of genetically manipulated NHP models. We further discuss the progress of assisted reproductive and genetic manipulation techniques in NHP; future prospects on genetically modified NHP models for biomedical research are also highlighted.
Collapse
Affiliation(s)
- Jung Eun Park
- Department of Neurobiology, University of Pittsburgh, School of Medicine in Pittsburgh, Pennsylvania, USA
| | - Erika Sasaki
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Animals in Kawasaki, Kanagawa, Japan
| |
Collapse
|
15
|
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.
Collapse
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
| |
Collapse
|
16
|
Novel imaging technology and procedures for studying brain function in preadolescent awake marmosets. J Neurosci Methods 2020; 343:108823. [PMID: 32580061 DOI: 10.1016/j.jneumeth.2020.108823] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 06/06/2020] [Accepted: 06/18/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND Novel imaging technology and procedures were developed to study brain function in preadolescent awake marmosets never exposed to anesthesia. METHODS A radiofrequency transmit and receive, head only volume coil was designed and integrated into a holding system. An acclimation procedure was developed without the use of anesthesia or sedation that allowed for awake imaging. Preadolescent 8-month old male and female marmosets were imaged for resting state BOLD functional connectivity to assess the status of the default mode network. Levels of reactivity during acclimation sessions and behavioral stress following imaging were assessed. RESULTS Data on functional coupling in the default mode network suggest the organization of connectivity to the prefrontal cortex is not fully developed at 8 months of age. The stress associated with the imaging procedure is comparable to that observed when marmosets are removed from their home cage and temporarily isolated from the family. COMPARISON TO OTHER METHODS The design of the radiofrequency coil provides B1 homogeneity across the entire brain without signal drop off. The unique design of the head cradle obviates the need for any stabilizing surgery, ear bars or bite bar and could be adapted to any size marmoset. The acclimation requires no anesthesia or sedation at any time in the early life of the developing marmoset, a condition that better reflects the human experience. CONCLUSION A method is provided for imaging functional activity in the brain of fully awake preadolescent marmosets without any history of anesthesia or sedation.
Collapse
|
17
|
Sawiak SJ, Shiba Y, Oikonomidis L, Windle CP, Santangelo AM, Grydeland H, Cockcroft G, Bullmore ET, Roberts AC. Trajectories and Milestones of Cortical and Subcortical Development of the Marmoset Brain From Infancy to Adulthood. Cereb Cortex 2019; 28:4440-4453. [PMID: 30307494 PMCID: PMC6215464 DOI: 10.1093/cercor/bhy256] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 09/13/2018] [Indexed: 01/04/2023] Open
Abstract
With increasing attention on the developmental causes of neuropsychiatric disorders, appropriate animal models are crucial to identifying causes and assessing potential interventions. The common marmoset is an ideal model as it has sophisticated social/emotional behavior, reaching adulthood within 2 years of birth. Magnetic resonance imaging was used in an accelerated longitudinal cohort (n = 41; aged 3–27 months; scanned 2–7 times over 2 years). Splines were used to model nonlinear trajectories of grey matter volume development in 53 cortical areas and 16 subcortical nuclei. Generally, volumes increased before puberty, peaked, and declined into adulthood. We identified 3 milestones of grey matter development: I) age at peak volume; II) age at onset of volume decline; and III) age at maximum rate of volume decline. These milestones differentiated growth trajectories of primary sensory/motor cortical areas from those of association cortex but also revealed distinct trajectories between association cortices. Cluster analysis of trajectories showed that prefrontal cortex was the most heterogenous of association regions, comprising areas with distinct milestones and developmental trajectories. These results highlight the potential of high-field structural MRI to define the dynamics of primate brain development and importantly to identify when specific prefrontal circuits may be most vulnerable to environmental impact.
Collapse
Affiliation(s)
- S J Sawiak
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, UK.,Wolfson Brain Imaging Centre, University of Cambridge, Box 65 Addenbrooke's Hospital, Cambridge, UK
| | - Y Shiba
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, UK.,Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| | - L Oikonomidis
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, UK.,Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| | - C P Windle
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, UK.,Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| | - A M Santangelo
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, UK.,Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| | - H Grydeland
- Department of Psychiatry, University of Cambridge, Cambridge, UK.,Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - G Cockcroft
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, UK.,Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| | - E T Bullmore
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, UK.,Wolfson Brain Imaging Centre, University of Cambridge, Box 65 Addenbrooke's Hospital, Cambridge, UK.,Department of Psychiatry, University of Cambridge, Cambridge, UK.,ImmunoPsychiatry, GlaxoSmithKline Research and Development, Stevenage, UK
| | - A C Roberts
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, UK.,Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| |
Collapse
|
18
|
Haga Y, Hata J, Uematsu A, Seki F, Komaki Y, Mizumura M, Nishio M, Kaneko T, Kishi N, Okano H, Furukawa A. MR Imaging Properties of ex vivo Common Marmoset Brain after Formaldehyde Fixation. Magn Reson Med Sci 2019; 18:253-259. [PMID: 30726800 PMCID: PMC6883083 DOI: 10.2463/mrms.mp.2018-0086] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Purpose: Ex vivo brains have different MRI properties than in vivo brains because of chemical changes caused by fixative solutions, which change the signal intensity and/or tissue contrast on MR images. In this study, we investigated and compared the MRI properties of in vivo and ex vivo brains. Methods: Using a Bruker 9.4T experimental scanner unit for animals (Biospin GmbH, Ettlingen, Germany), we performed this study on the common marmoset. We measured the relaxation and diffusion values in the white matter and cortex of common marmosets and compared these values between in vivo brains (n = 20) and ex vivo brains (n = 20). Additionally, we observed the relationship between the tissue fixation duration and MRI properties by imaging a brain that underwent long-term fixation in a preliminary examination (n = 1). Results: The T1 values of ex vivo brains were decreased compared with those of in vivo brains; however, there were no significant difference in the T2 and T2* values of in vivo and ex vivo brains. Axial, radial, and mean diffusivity values of ex vivo brains decreased to approximately 65% and 52% of those of in vivo brains in the cortex and white matter, respectively. Conversely, fractional anisotropy values were not significantly different between in vivo and ex vivo brains. Conclusion: The T1 values and diffusion coefficient values of the ex vivo brains were strikingly different than those of the in vivo brains. Conversely, there were no significant changes in the T2, T2* or fractional anisotropy values. Altogether, the dehydration caused by tissue fixation and the reduction in brain temperature were involved in changing the relaxation and diffusion coefficient values. Here, it was difficult to specify all factors causing these changes. Further detailed study is needed to examine changes in MRI properties.
Collapse
Affiliation(s)
- Yawara Haga
- Department of Radiological Sciences, Human Health Sciences, Tokyo Metropolitan University Graduate School.,Department of Physiology, Keio University School of Medicine.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN
| | - Junichi Hata
- Department of Physiology, Keio University School of Medicine.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN.,Live Imaging Center, Central Institute for Experimental Animals
| | - Akiko Uematsu
- Department of Physiology, Keio University School of Medicine.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN.,Live Imaging Center, Central Institute for Experimental Animals
| | - Fumiko Seki
- Department of Physiology, Keio University School of Medicine.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN.,Live Imaging Center, Central Institute for Experimental Animals
| | - Yuji Komaki
- Department of Physiology, Keio University School of Medicine.,Live Imaging Center, Central Institute for Experimental Animals
| | - Mai Mizumura
- Department of Radiological Sciences, Human Health Sciences, Tokyo Metropolitan University Graduate School.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN
| | - Marin Nishio
- Department of Radiological Sciences, Human Health Sciences, Tokyo Metropolitan University Graduate School.,Live Imaging Center, Central Institute for Experimental Animals
| | - Takaaki Kaneko
- Department of Physiology, Keio University School of Medicine.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN
| | - Noriyuki Kishi
- Department of Physiology, Keio University School of Medicine.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine.,Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN
| | - Akira Furukawa
- Department of Radiological Sciences, Human Health Sciences, Tokyo Metropolitan University Graduate School
| |
Collapse
|