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Banovac I, Prkačin MV, Kirchbaum I, Trnski-Levak S, Bobić-Rasonja M, Sedmak G, Petanjek Z, Jovanov-Milosevic N. Morphological and Molecular Characteristics of Perineuronal Nets in the Human Prefrontal Cortex-A Possible Link to Microcircuitry Specialization. Mol Neurobiol 2024:10.1007/s12035-024-04306-1. [PMID: 38958887 DOI: 10.1007/s12035-024-04306-1] [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: 02/15/2024] [Accepted: 06/13/2024] [Indexed: 07/04/2024]
Abstract
Perineuronal nets (PNNs) are a type of extracellular matrix (ECM) that play a significant role in synaptic activity and plasticity of interneurons in health and disease. We researched PNNs' regional and laminar representation and molecular composition using immunohistochemistry and transcriptome analysis of Brodmann areas (BA) 9, 14r, and 24 in 25 human postmortem brains aged 13-82 years. The numbers of VCAN- and NCAN-expressing PNNs, relative to the total number of neurons, were highest in cortical layers I and VI while WFA-binding (WFA+) PNNs were most abundant in layers III-V. The ECM glycosylation pattern was the most pronounced regional difference, shown by a significantly lower proportion of WFA+ PNNs in BA24 (3.27 ± 0.69%) compared to BA9 (6.32 ± 1.73%; P = 0.0449) and BA14 (5.64 ± 0.71%; P = 0.0278). The transcriptome of late developmental and mature stages revealed a relatively stable expression of PNN-related transcripts (log2-transformed expression values: 6.5-8.5 for VCAN and 8.0-9.5 for NCAN). Finally, we propose a classification of PNNs that envelop GABAergic neurons in the human cortex. The significant differences in PNNs' morphology, distribution, and molecular composition strongly suggest an involvement of PNNs in specifying distinct microcircuits in particular cortical regions and layers.
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Affiliation(s)
- Ivan Banovac
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
- Croatian Institute for Brain Research, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine University of Zagreb, Šalata 12, HR-10000, Zagreb, Croatia
| | - Matija Vid Prkačin
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
- Croatian Institute for Brain Research, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine University of Zagreb, Šalata 12, HR-10000, Zagreb, Croatia
| | - Ivona Kirchbaum
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
| | - Sara Trnski-Levak
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
| | - Mihaela Bobić-Rasonja
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
- Department of Biology, University of Zagreb School of Medicine, Šalata 3, HR-10000, Zagreb, Croatia
| | - Goran Sedmak
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
| | - Zdravko Petanjek
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
- Croatian Institute for Brain Research, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine University of Zagreb, Šalata 12, HR-10000, Zagreb, Croatia
| | - Natasa Jovanov-Milosevic
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia.
- Croatian Institute for Brain Research, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine University of Zagreb, Šalata 12, HR-10000, Zagreb, Croatia.
- Department of Biology, University of Zagreb School of Medicine, Šalata 3, HR-10000, Zagreb, Croatia.
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2
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Liu Z, Feng Z, Liu G, Li A, Gong H, Yang X, Li X. A complementary approach for neocortical cytoarchitecture inspection with cellular resolution imaging at whole brain scale. Front Neuroanat 2024; 18:1388084. [PMID: 38846539 PMCID: PMC11153794 DOI: 10.3389/fnana.2024.1388084] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 04/26/2024] [Indexed: 06/09/2024] Open
Abstract
Cytoarchitecture, the organization of cells within organs and tissues, serves as a crucial anatomical foundation for the delineation of various regions. It enables the segmentation of the cortex into distinct areas with unique structural and functional characteristics. While traditional 2D atlases have focused on cytoarchitectonic mapping of cortical regions through individual sections, the intricate cortical gyri and sulci demands a 3D perspective for unambiguous interpretation. In this study, we employed fluorescent micro-optical sectioning tomography to acquire architectural datasets of the entire macaque brain at a resolution of 0.65 μm × 0.65 μm × 3 μm. With these volumetric data, the cortical laminar textures were remarkably presented in appropriate view planes. Additionally, we established a stereo coordinate system to represent the cytoarchitectonic information as surface-based tomograms. Utilizing these cytoarchitectonic features, we were able to three-dimensionally parcel the macaque cortex into multiple regions exhibiting contrasting architectural patterns. The whole-brain analysis was also conducted on mice that clearly revealed the presence of barrel cortex and reflected biological reasonability of this method. Leveraging these high-resolution continuous datasets, our method offers a robust tool for exploring the organizational logic and pathological mechanisms of the brain's 3D anatomical structure.
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Affiliation(s)
- Zhixiang Liu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China
| | - Zhao Feng
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China
| | - Guangcai Liu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China
| | - Anan Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China
| | - Hui Gong
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China
| | - Xiaoquan Yang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China
| | - Xiangning Li
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, JITRI, Suzhou, China
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3
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Damera SR, De Asis-Cruz J, Cook KM, Kapse K, Spoehr E, Murnick J, Basu S, Andescavage N, Limperopoulos C. Regional homogeneity as a marker of sensory cortex dysmaturity in preterm infants. iScience 2024; 27:109662. [PMID: 38665205 PMCID: PMC11043889 DOI: 10.1016/j.isci.2024.109662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 01/23/2024] [Accepted: 04/01/2024] [Indexed: 04/28/2024] Open
Abstract
Atypical perinatal sensory experience in preterm infants is thought to increase their risk of neurodevelopmental disabilities by altering the development of the sensory cortices. Here, we used resting-state fMRI data from preterm and term-born infants scanned between 32 and 48 weeks post-menstrual age to assess the effect of early ex-utero exposure on sensory cortex development. Specifically, we utilized a measure of local correlated-ness called regional homogeneity (ReHo). First, we demonstrated that the brain-wide distribution of ReHo mirrors the known gradient of cortical maturation. Next, we showed that preterm birth differentially reduces ReHo across the primary sensory cortices. Finally, exploratory analyses showed that the reduction of ReHo in the primary auditory cortex of preterm infants is related to increased risk of autism at 18 months. In sum, we show that local connectivity within sensory cortices has different developmental trajectories, is differentially affected by preterm birth, and may be associated with later neurodevelopment.
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Affiliation(s)
- Srikanth R. Damera
- Developing Brain Institute, Children’s National, 111 Michigan Avenue NW, Washington, DC 20010, USA
| | - Josepheen De Asis-Cruz
- Developing Brain Institute, Children’s National, 111 Michigan Avenue NW, Washington, DC 20010, USA
| | - Kevin M. Cook
- Developing Brain Institute, Children’s National, 111 Michigan Avenue NW, Washington, DC 20010, USA
| | - Kushal Kapse
- Developing Brain Institute, Children’s National, 111 Michigan Avenue NW, Washington, DC 20010, USA
| | - Emma Spoehr
- Developing Brain Institute, Children’s National, 111 Michigan Avenue NW, Washington, DC 20010, USA
| | - Jon Murnick
- Developing Brain Institute, Children’s National, 111 Michigan Avenue NW, Washington, DC 20010, USA
| | - Sudeepta Basu
- Developing Brain Institute, Children’s National, 111 Michigan Avenue NW, Washington, DC 20010, USA
| | - Nickie Andescavage
- Developing Brain Institute, Children’s National, 111 Michigan Avenue NW, Washington, DC 20010, USA
| | - Catherine Limperopoulos
- Developing Brain Institute, Children’s National, 111 Michigan Avenue NW, Washington, DC 20010, USA
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4
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Aquino J, Moreira MA, Evangelista NCL, Maior RS, Barros M. Spontaneous object recognition in capuchin monkeys: assessing the effects of sex, familiarization phase and retention delay. Anim Cogn 2023; 26:551-561. [PMID: 36181571 DOI: 10.1007/s10071-022-01697-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/27/2022] [Accepted: 09/25/2022] [Indexed: 11/24/2022]
Abstract
The spontaneous object recognition (SOR) task is a versatile and widely used memory test that was only recently established in nonhuman primates (marmosets). Here, we extended these initial findings by assessing the performance of adult capuchin monkeys on the SOR task and three potentially intervening task parameters-object familiarization phase, retention delay and sex. In Experiment 1, after an initial 10-min familiarization period with two identical objects and a pre-established retention delay (0.5, 6 or 24 h), the capuchins preferentially explored a new rather than the familiar object during a 10-min test trial, regardless of delay length. In Experiment 2, the capuchins were again exposed to two identical objects (but now for 10 or 20 min), then a 30-min retention delay and a 10-min test trial. An exploratory preference for the new over the familiar item was not affected by the length of the familiarization interval, possibly because overall exploration remained the same. However, the amount of initial object exploration was not related to task performance, and both males and females performed similarly on the SOR task with a 10-min familiarization, 30-min delay and 10-min test trial. Therefore, male and female capuchins recognize objects on the SOR task after both short and long delays, whereas a twofold increase in the familiarization phase does not affect task performance. The results also provide further support for the use of incidental learning paradigms to assess recognition memory in nonhuman primates.
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Affiliation(s)
- Jéssica Aquino
- Department of Pharmacy, School of Health Sciences, University of Brasilia, Brasilia, 70910-900, Brazil
| | - Matheus A Moreira
- Department of Pharmacy, School of Health Sciences, University of Brasilia, Brasilia, 70910-900, Brazil
| | - Nathália C L Evangelista
- Department of Pharmacy, School of Health Sciences, University of Brasilia, Brasilia, 70910-900, Brazil
| | - Rafael S Maior
- Department of Physiological Sciences, Institute of Biology, University of Brasilia, Brasilia, Brazil.,Primate Center, Institute of Biology, University of Brasilia, Brasilia, Brazil
| | - Marilia Barros
- Department of Pharmacy, School of Health Sciences, University of Brasilia, Brasilia, 70910-900, Brazil. .,Primate Center, Institute of Biology, University of Brasilia, Brasilia, Brazil.
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5
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Preuss TM, Wise SP. Evolution of prefrontal cortex. Neuropsychopharmacology 2022; 47:3-19. [PMID: 34363014 PMCID: PMC8617185 DOI: 10.1038/s41386-021-01076-5] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 06/01/2021] [Accepted: 06/15/2021] [Indexed: 02/07/2023]
Abstract
Subdivisions of the prefrontal cortex (PFC) evolved at different times. Agranular parts of the PFC emerged in early mammals, and rodents, primates, and other modern mammals share them by inheritance. These are limbic areas and include the agranular orbital cortex and agranular medial frontal cortex (areas 24, 32, and 25). Rodent research provides valuable insights into the structure, functions, and development of these shared areas, but it contributes less to parts of the PFC that are specific to primates, namely, the granular, isocortical PFC that dominates the frontal lobe in humans. The first granular PFC areas evolved either in early primates or in the last common ancestor of primates and tree shrews. Additional granular PFC areas emerged in the primate stem lineage, as represented by modern strepsirrhines. Other granular PFC areas evolved in simians, the group that includes apes, humans, and monkeys. In general, PFC accreted new areas along a roughly posterior to anterior trajectory during primate evolution. A major expansion of the granular PFC occurred in humans in concert with other association areas, with modifications of corticocortical connectivity and gene expression, although current evidence does not support the addition of a large number of new, human-specific PFC areas.
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Affiliation(s)
- Todd M Preuss
- Yerkes National Primate Research Center, Emory University, Atlanta, GA, 30329, USA.
| | - Steven P Wise
- Olschefskie Institute for the Neurobiology of Knowledge, Bethesda, MD, 20814, USA
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6
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Preuss TM. Critique of Pure Marmoset. BRAIN, BEHAVIOR AND EVOLUTION 2019; 93:92-107. [PMID: 31416070 PMCID: PMC6711801 DOI: 10.1159/000500500] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 04/22/2019] [Indexed: 12/16/2022]
Abstract
The common marmoset, a New World (platyrrhine) monkey, is currently being fast-tracked as a non-human primate model species, especially for genetic modification but also as a general-purpose model for research on the brain and behavior bearing on the human condition. Compared to the currently dominant primate model, the catarrhine macaque monkey, marmosets are notable for certain evolutionary specializations, including their propensity for twin births, their very small size (a result of phyletic dwarfism), and features related to their small size (rapid development and relatively short lifespan), which result in these animals yielding experimental results more rapidly and at lower cost. Macaques, however, have their own advantages. Importantly, macaques are more closely related to humans (which are also catarrhine primates) than are marmosets, sharing approximately 20 million more years of common descent, and are demonstrably more similar to humans in a variety of genomic, molecular, and neurobiological characteristics. Furthermore, the very specializations of marmosets that make them attractive as experimental subjects, such as their rapid development and short lifespan, are ways in which marmosets differ from humans and in which macaques more closely resemble humans. These facts warrant careful consideration of the trade-offs between convenience and cost, on the one hand, and biological realism, on the other, in choosing between non-human primate models of human biology. Notwithstanding the advantages marmosets offer as models, prudence requires continued commitment to research on macaques and other primate species.
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Affiliation(s)
- Todd M Preuss
- Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, USA,
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7
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Rosa MGP, Soares JGM, Chaplin TA, Majka P, Bakola S, Phillips KA, Reser DH, Gattass R. Cortical Afferents of Area 10 in Cebus Monkeys: Implications for the Evolution of the Frontal Pole. Cereb Cortex 2019; 29:1473-1495. [PMID: 29697775 PMCID: PMC6676977 DOI: 10.1093/cercor/bhy044] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Revised: 01/12/2018] [Accepted: 02/07/2018] [Indexed: 01/26/2023] Open
Abstract
Area 10, located in the frontal pole, is a unique specialization of the primate cortex. We studied the cortical connections of area 10 in the New World Cebus monkey, using injections of retrograde tracers in different parts of this area. We found that injections throughout area 10 labeled neurons in a consistent set of areas in the dorsolateral, ventrolateral, orbital, and medial parts of the frontal cortex, superior temporal association cortex, and posterior cingulate/retrosplenial region. However, sites on the midline surface of area 10 received more substantial projections from the temporal lobe, including clear auditory connections, whereas those in more lateral parts received >90% of their afferents from other frontal areas. This difference in anatomical connectivity reflects functional connectivity findings in the human brain. The pattern of connections in Cebus is very similar to that observed in the Old World macaque monkey, despite >40 million years of evolutionary separation, but lacks some of the connections reported in the more closely related but smaller marmoset monkey. These findings suggest that the clearer segregation observed in the human frontal pole reflects regional differences already present in early simian primates, and that overall brain mass influences the pattern of cortico-cortical connectivity.
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Affiliation(s)
- Marcello G P Rosa
- Department of Physiology, Monash University, Clayton, VIC, Australia
- Neuroscience Program, Biomedicine Research Institute, Monash University, Clayton, VIC, Australia
- Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC, Australia
| | - Juliana G M Soares
- Programa de Neurobiologia, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Tristan A Chaplin
- Department of Physiology, Monash University, Clayton, VIC, Australia
- Neuroscience Program, Biomedicine Research Institute, Monash University, Clayton, VIC, Australia
- Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC, Australia
| | - Piotr Majka
- Department of Physiology, Monash University, Clayton, VIC, Australia
- Neuroscience Program, Biomedicine Research Institute, Monash University, Clayton, VIC, Australia
- Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC, Australia
- Laboratory of Neuroinformatics, Department of Neurophysiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences, 3 Pasteur Street, Warsaw, Poland
| | - Sophia Bakola
- Department of Physiology, Monash University, Clayton, VIC, Australia
- Neuroscience Program, Biomedicine Research Institute, Monash University, Clayton, VIC, Australia
- Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC, Australia
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Kimberley A Phillips
- Department of Psychology, Trinity University, San Antonio, TX, USA
- USA Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - David H Reser
- Department of Physiology, Monash University, Clayton, VIC, Australia
- Neuroscience Program, Biomedicine Research Institute, Monash University, Clayton, VIC, Australia
- Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, VIC, Australia
- Monash Rural Health, Monash University, Churchill, VIC, Australia
| | - Ricardo Gattass
- Programa de Neurobiologia, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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Mariani OSC, Lima B, Soares JGM, Mayer A, Franca JG, Gattass R. Partitioning of the primate intraparietal cortex based on connectivity pattern and immunohistochemistry for Cat-301 and SMI-32. J Comp Neurol 2019; 527:694-717. [PMID: 29577279 DOI: 10.1002/cne.24438] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 02/13/2018] [Accepted: 02/21/2018] [Indexed: 11/06/2022]
Abstract
We propose a partitioning of the primate intraparietal sulcus (IPS) using immunoarchitectural and connectivity criteria. We studied the immunoarchitecture of the IPS areas in the capuchin monkey using Cat-301 and SMI-32 immunohistochemistry. In addition, we investigated the IPS projections to areas V4, TEO, PO, and MT using retrograde tracer injections in nine hemispheres of seven animals. The pattern and distribution of Cat-301 and SMI-32 immunostaining revealed multiple areas in the IPS, in the adjoining PO cleft and in the annectant gyrus, with differential staining patterns found for areas V3d, DM, V3A, DI, PO, POd, CIP-1, CIP-2, VIPa, VIPp, LIPva, LIPvp, LIPda, LIPdp, PIPv, PIPd, MIPv, MIPd, AIPda, AIPdp, and AIPv. Areas V4, TEO, PO, MT, which belong to different cortical streams of visual information processing, receive projections from at least twenty different areas within the IPS and adjoining regions. In six animals, we analyzed the distribution of retrogradely labeled cells in tangential sections of flat-mount IPS preparations. The lateral bank of the IPS projects to regions belonging both to the ventral (V4 and TEO) and dorsal (PO and MT) streams. The region on the floor of the IPS (i.e., VIP) projects predominantly to dorsal stream areas. Finally, the medial bank of the IPS (i.e., MIP) projects solely to the dorsalmedial stream (PO). Therefore, our data suggest that ventral and dorsal streams remain segregated within the IPS, and that its projections to the dorsal stream can be further segregated based on those targeting the dorsolateral versus the dorsomedial subdivisions.
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Affiliation(s)
- Otavio S C Mariani
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, 21949-902, Brazil.,School of Physical Therapy, University of São Carlos, São Paulo, Brazil
| | - Bruss Lima
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, 21949-902, Brazil
| | - Juliana G M Soares
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, 21949-902, Brazil
| | - Andrei Mayer
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, 21949-902, Brazil
| | - João G Franca
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, 21949-902, Brazil
| | - Ricardo Gattass
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, 21949-902, Brazil
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9
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García-Cabezas MÁ, Joyce MKP, John YJ, Zikopoulos B, Barbas H. Mirror trends of plasticity and stability indicators in primate prefrontal cortex. Eur J Neurosci 2017; 46:2392-2405. [PMID: 28921934 DOI: 10.1111/ejn.13706] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 08/22/2017] [Accepted: 08/24/2017] [Indexed: 12/21/2022]
Abstract
Research on plasticity markers in the cerebral cortex has largely focused on their timing of expression and role in shaping circuits during critical and normal periods. By contrast, little attention has been focused on the spatial dimension of plasticity-stability across cortical areas. The rationale for this analysis is based on the systematic variation in cortical structure that parallels functional specialization and raises the possibility of varying levels of plasticity. Here, we investigated in adult rhesus monkeys the expression of markers related to synaptic plasticity or stability in prefrontal limbic and eulaminate areas that vary in laminar structure. Our findings revealed that limbic areas are impoverished in three markers of stability: intracortical myelin, the lectin Wisteria floribunda agglutinin, which labels perineuronal nets, and parvalbumin, which is expressed in a class of strong inhibitory neurons. By contrast, prefrontal limbic areas were enriched in the enzyme calcium/calmodulin-dependent protein kinase II (CaMKII), known to enhance plasticity. Eulaminate areas have more elaborate laminar architecture than limbic areas and showed the opposite trend: they were enriched in markers of stability and had lower expression of the plasticity-related marker CaMKII. The expression of glial fibrillary acidic protein (GFAP), a marker of activated astrocytes, was also higher in limbic areas, suggesting that cellular stress correlates with the rate of circuit reshaping. Elevated markers of plasticity may endow limbic areas with flexibility necessary for learning and memory within an affective context, but may also render them vulnerable to abnormal structural changes, as seen in neurologic and psychiatric diseases.
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Affiliation(s)
- Miguel Á García-Cabezas
- Neural Systems Laboratory, Department of Health Sciences, Boston University, 635 Commonwealth Ave, Boston, MA, 02215, USA
| | - Mary Kate P Joyce
- Neural Systems Laboratory, Department of Health Sciences, Boston University, 635 Commonwealth Ave, Boston, MA, 02215, USA
| | - Yohan J John
- Neural Systems Laboratory, Department of Health Sciences, Boston University, 635 Commonwealth Ave, Boston, MA, 02215, USA
| | - Basilis Zikopoulos
- Human Systems Neuroscience Laboratory, Boston University, Boston, MA, USA
| | - Helen Barbas
- Neural Systems Laboratory, Department of Health Sciences, Boston University, 635 Commonwealth Ave, Boston, MA, 02215, USA
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10
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Torres-da-Silva KR, Da Silva AV, Barioni NO, Tessarin GWL, De Oliveira JA, Ervolino E, Horta-Junior JAC, Casatti CA. Neurochemistry study of spinal cord in non-human primate (Sapajus spp.). Eur J Histochem 2016; 60:2623. [PMID: 27734991 PMCID: PMC5062631 DOI: 10.4081/ejh.2016.2623] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2016] [Revised: 08/07/2016] [Accepted: 08/17/2016] [Indexed: 02/06/2023] Open
Abstract
The spinal cord is involved in local, ascending and descending neural pathways. Few studies analyzed the distribution of neuromediators in the laminae of non-human primates along all segments. The present study described the classic neuromediators in the spinal cord of the non-human primate Sapajus spp. through histochemical and immunohistochemical methods. Nicotinamide adenine dinucleotide hydrogen phosphate-diaphorase (NADPH-d) method showed neuronal somata in the intermediolateral column (IML), central cervical nucleus (CCN), laminae I, II, III, IV, V, VI, VII, VIII and X, besides dense presence of nerve fibers in laminae II and IX. Acetylcholinesterase (AChE) activity was evident in the neuronal somata in laminae V, VI, VII, VIII, IX, CCN, IML and in the Clarke’s column (CC). Immunohistochemistry data revealed neuronal nitric oxide synthase (nNOS) immunoreactivity in neuronal somata and in fibers of laminae I, II, III, VII, VIII, X and IML; choline acetyltransferase (ChAT) in neuronal somata and in fibers of laminae VII, VIII and IX; calcitonin gene-related peptide (CGRP) was noticed in neuronal somata of lamina IX and in nerve fibers of laminae I, II, III, IV, V, VI and VII; substance P (SP) in nerve fibers of laminae I, II, III, IV, V, VI, VII, VIII, IX, X, CCN, CC and IML; serotonin (5-HT) and vesicular glutamate transporter-1 (VGLUT1) was noticed in nerve fibers of all laminae; somatostatin (SOM) in neuronal somata of laminae III, IV, V, VI, VII, VIII and IX and nerve fibers in laminae I, II, V, VI, VII, X and IML; calbindin (Cb) in neuronal somata of laminae I, II, VI, VII, IX and X; parvalbumin (PV) was found in neuronal somata and in nerve fibers of laminae III, IV, V, VI, VII, VIII, IX and CC; finally, gamma-amino butyric acid (GABA) was present in neuronal somata of laminae V, VI, VII, VIII, IX and X. This study revealed interesting results concerning the chemoarchitecture of the Sapajus spp. spinal cord with a distribution pattern mostly similar to other mammals. The data corroborate the result described in literature, except for some differences in CGRP, SP, Cb, PV and GABA immunoreactivities present in neuronal somata and in nerve fibers. This could suggest certain specificity for the neurochemistry distribution in this non-human primate species, besides adding relevant data to support further studies related to processes involving spinal cord components.
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Distribution of N-Acetylgalactosamine-Positive Perineuronal Nets in the Macaque Brain: Anatomy and Implications. Neural Plast 2016; 2016:6021428. [PMID: 26881119 PMCID: PMC4735937 DOI: 10.1155/2016/6021428] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Revised: 08/17/2015] [Accepted: 08/26/2015] [Indexed: 11/17/2022] Open
Abstract
Perineuronal nets (PNNs) are extracellular molecules that form around neurons near the end of critical periods during development. They surround neuronal cell bodies and proximal dendrites. PNNs inhibit the formation of new connections and may concentrate around rapidly firing inhibitory interneurons. Previous work characterized the important role of perineuronal nets in plasticity in the visual system, amygdala, and spinal cord of rats. In this study, we use immunohistochemistry to survey the distribution of perineuronal nets in representative areas of the primate brain. We also document changes in PNN prevalence in these areas in animals of different ages. We found that PNNs are most prevalent in the cerebellar nuclei, surrounding >90% of the neurons there. They are much less prevalent in cerebral cortex, surrounding less than 10% of neurons in every area that we examined. The incidence of perineuronal nets around parvalbumin-positive neurons (putative fast-spiking interneurons) varies considerably between different areas in the brain. Our survey indicates that the presence of PNNs may not have a simple relationship with neural plasticity and may serve multiple functions in the central nervous system.
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Mayer A, Nascimento-Silva ML, Keher NB, Bittencourt-Navarrete RE, Gattass R, Franca JG. Architectonic mapping of somatosensory areas involved in skilled forelimb movements and tool use. J Comp Neurol 2015; 524:1399-423. [PMID: 26477782 DOI: 10.1002/cne.23916] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 10/13/2015] [Accepted: 10/15/2015] [Indexed: 11/12/2022]
Abstract
Cebus monkeys stand out from other New World monkeys by their ability to perform fine hand movements, and by their spontaneous use of tools in the wild. Those behaviors rely on the integration of somatosensory information, which occurs in different areas of the parietal cortex. Although a few studies have examined and parceled the somatosensory areas of the cebus monkey, mainly using electrophysiological criteria, very little is known about its anatomical organization. In this study we used SMI-32 immunohistochemistry, myelin, and Nissl stains to characterize the architecture of the parietal cortical areas of cebus monkeys. Seven cortical areas were identified between the precentral gyrus and the anterior bank of the intraparietal sulcus. Except for areas 3a and 3b, distinction between different somatosensory areas was more evident in myelin-stained sections and SMI-32 immunohistochemistry than in Nissl stain, especially for area 2 and subdivisions of area 5. Our results show that cebus monkeys have a relatively complex somatosensory cortex, similar to that of macaques and humans. This suggests that, during primate evolution, the emergence of new somatosensory areas underpinned complex manual behaviors in most Old World simians and in the New World cebus monkey. J. Comp. Neurol. 524:1399-1423, 2016. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Andrei Mayer
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Márcio L Nascimento-Silva
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Natalia B Keher
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Ricardo Gattass
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - João G Franca
- Institute of Biophysics Carlos Chagas Filho, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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Gerits A, Vancraeyenest P, Vreysen S, Laramée ME, Michiels A, Gijsbers R, Van den Haute C, Moons L, Debyser Z, Baekelandt V, Arckens L, Vanduffel W. Serotype-dependent transduction efficiencies of recombinant adeno-associated viral vectors in monkey neocortex. NEUROPHOTONICS 2015; 2:031209. [PMID: 26839901 PMCID: PMC4729112 DOI: 10.1117/1.nph.2.3.031209] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 08/25/2015] [Indexed: 06/05/2023]
Abstract
Viral vector-mediated expression of genes (e.g., coding for opsins and designer receptors) has grown increasingly popular. Cell-type specific expression is achieved by altering viral vector tropism through crosspackaging or by cell-specific promoters driving gene expression. Detailed information about transduction properties of most recombinant adeno-associated viral vector (rAAV) serotypes in macaque cortex is gradually becoming available. Here, we compare transduction efficiencies and expression patterns of reporter genes in two macaque neocortical areas employing different rAAV serotypes and promoters. A short version of the calmodulin-kinase-II (CaMKIIα0.4) promoter resulted in reporter gene expression in cortical neurons for all tested rAAVs, albeit with different efficiencies for spread: rAAV2/5>>rAAV2/7>rAAV2/8>rAAV2/9>>rAAV2/1 and proportion of transduced cells: rAAV2/1>rAAV2/5>rAAV2/7=rAAV2/9>rAAV2/8. In contrast to rodent studies, the cytomegalovirus (CMV) promoter appeared least efficient in macaque cortex. The human synapsin-1 promoter preceded by the CMV enhancer (enhSyn1) produced homogeneous reporter gene expression across all layers, while two variants of the CaMKIIα promoter resulted in different laminar transduction patterns and cell specificities. Finally, differences in expression patterns were observed when the same viral vector was injected in two neocortical areas. Our results corroborate previous findings that reporter-gene expression patterns and efficiency of rAAV transduction depend on serotype, promoter, cortical layer, and area.
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Affiliation(s)
- Annelies Gerits
- KU Leuven, Laboratory of Neuro- and Psychophysiology, Department of Neurosciences, O&N2 Herestraat 49 bus 10.21, 3000 Leuven, Belgium
| | - Pascaline Vancraeyenest
- KU Leuven, Laboratory of Neuro- and Psychophysiology, Department of Neurosciences, O&N2 Herestraat 49 bus 10.21, 3000 Leuven, Belgium
| | - Samme Vreysen
- KU Leuven, Laboratory of Neuroplasticity and Neuroproteomics, Faculty of Science, Naamsestraat 59, 3000 Leuven, Belgium
| | - Marie-Eve Laramée
- KU Leuven, Laboratory of Neuroplasticity and Neuroproteomics, Faculty of Science, Naamsestraat 59, 3000 Leuven, Belgium
| | - Annelies Michiels
- KU Leuven, Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Kapucijnenvoer 33, VCTB +5, 3000 Leuven, Belgium
- KU Leuven, Leuven Viral Vector Core, Kapucijnenvoer 33, VCTB +5, 3000 Leuven, Belgium
| | - Rik Gijsbers
- KU Leuven, Leuven Viral Vector Core, Kapucijnenvoer 33, VCTB +5, 3000 Leuven, Belgium
- KU Leuven, Laboratory of Molecular Virology and Gene Therapy, Department of Neurosciences, Kapucijnenvoer 33, VCTB +5, 3000 Leuven, Flanders, Belgium
| | - Chris Van den Haute
- KU Leuven, Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Kapucijnenvoer 33, VCTB +5, 3000 Leuven, Belgium
- KU Leuven, Leuven Viral Vector Core, Kapucijnenvoer 33, VCTB +5, 3000 Leuven, Belgium
| | - Lieve Moons
- KU Leuven, Laboratory of Neural Circuit Development and Regeneration, Faculty of Science, Naamsestraat 61, 3000 Leuven, Belgium
| | - Zeger Debyser
- KU Leuven, Laboratory of Molecular Virology and Gene Therapy, Department of Neurosciences, Kapucijnenvoer 33, VCTB +5, 3000 Leuven, Flanders, Belgium
| | - Veerle Baekelandt
- KU Leuven, Laboratory for Neurobiology and Gene Therapy, Department of Neurosciences, Kapucijnenvoer 33, VCTB +5, 3000 Leuven, Belgium
| | - Lutgarde Arckens
- KU Leuven, Laboratory of Neuroplasticity and Neuroproteomics, Faculty of Science, Naamsestraat 59, 3000 Leuven, Belgium
| | - Wim Vanduffel
- KU Leuven, Laboratory of Neuro- and Psychophysiology, Department of Neurosciences, O&N2 Herestraat 49 bus 10.21, 3000 Leuven, Belgium
- Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, 149 13th street, Charlestown, Massachusetts 02129, United States
- Harvard Medical School, Department of Radiology, 149 13th street, Charlestown, Massachusetts 02129, United States
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Mangeat G, Govindarajan ST, Mainero C, Cohen-Adad J. Multivariate combination of magnetization transfer, T2* and B0 orientation to study the myelo-architecture of the in vivo human cortex. Neuroimage 2015; 119:89-102. [PMID: 26095090 DOI: 10.1016/j.neuroimage.2015.06.033] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2015] [Revised: 05/04/2015] [Accepted: 06/11/2015] [Indexed: 12/21/2022] Open
Abstract
Recently, T2* imaging at 7Tesla (T) MRI was shown to reveal microstructural features of the cortical myeloarchitecture thanks to an increase in contrast-to-noise ratio. However, several confounds hamper the specificity of T2* measures (iron content, blood vessels, tissues orientation). Another metric, magnetization transfer ratio (MTR), is known to also be sensitive to myelin content and thus would be an excellent complementary measure because its underlying contrast mechanisms are different than that from T2*. The goal of this study was thus to combine MTR and T2* using multivariate statistics in order to gain insights into cortical myelin content. Seven healthy subjects were scanned at 7T and 3T to obtain T2* and MTR data, respectively. A multivariate myelin estimation model (MMEM) was developed, and consists in (i) normalizing T2* and MTR values and (ii) extracting their shared information using independent component analysis (ICA). B0 orientation dependence and cortical thickness were also computed and included in the model. Results showed high correlation between MTR and T2* in the whole cortex (r=0.76, p<10(-16)), suggesting that both metrics are partly driven by a common source of contrast, here assumed to be the myelin. Average MTR and T2* were respectively 31.0+/-0.3% and 32.1+/-1.4 ms. Results of the MMEM spatial distribution showed similar trends to that from histological work stained for myelin (r=0.77, p<0.01). Significant right-left differences were detected in the primary motor cortex (p<0.05), the posterior cingulate cortex (p<0.05) and the visual cortex (p<0.05). This study demonstrates that MTR and T2* are highly correlated in the cortex. The combination of MTR, T2*, CT and B0 orientation may be a useful means to study cortical myeloarchitecture with more specificity than using any of the individual methods. The MMEM framework is extendable to other contrasts such as T1 and diffusion MRI.
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Affiliation(s)
- G Mangeat
- Neuroimaging Research Laboratory (NeuroPoly), Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, USA
| | - S T Govindarajan
- Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, USA
| | - C Mainero
- Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA
| | - J Cohen-Adad
- Neuroimaging Research Laboratory (NeuroPoly), Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada.
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Reser DH, Richardson KE, Montibeller MO, Zhao S, Chan JMH, Soares JGM, Chaplin TA, Gattass R, Rosa MGP. Claustrum projections to prefrontal cortex in the capuchin monkey (Cebus apella). Front Syst Neurosci 2014; 8:123. [PMID: 25071475 PMCID: PMC4079979 DOI: 10.3389/fnsys.2014.00123] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2014] [Accepted: 06/10/2014] [Indexed: 12/14/2022] Open
Abstract
We examined the pattern of retrograde tracer distribution in the claustrum following intracortical injections into the frontal pole (area 10), and in dorsal (area 9), and ventral lateral (area 12) regions of the rostral prefrontal cortex in the tufted capuchin monkey (Cebus apella). The resulting pattern of labeled cells was assessed in relation to the three-dimensional geometry of the claustrum, as well as recent reports of claustrum-prefrontal connections in other primates. Claustrum-prefrontal projections were extensive, and largely concentrated in the ventral half of the claustrum, especially in the rostral 2/3 of the nucleus. Our data are consistent with a topographic arrangement of claustrum-cortical connections in which prefrontal and association cortices receive connections largely from the rostral and medial claustrum. Comparative aspects of claustrum-prefrontal topography across primate species and the implications of claustrum connectivity for understanding of cortical functional networks are explored, and we hypothesize that the claustrum may play a role in controlling or switching between resting state and task-associated cortical networks.
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Affiliation(s)
- David H Reser
- Department of Physiology, Monash University Clayton, VIC, Australia
| | - Karyn E Richardson
- Department of Physiology, Monash University Clayton, VIC, Australia ; Department of Psychology and Psychiatric Medicine, Monash University Clayton, VIC, Australia
| | | | - Sherry Zhao
- Department of Physiology, Monash University Clayton, VIC, Australia
| | | | - Juliana G M Soares
- Programa de Neurobiologia, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro Rio de Janeiro, Brazil
| | | | - Ricardo Gattass
- Programa de Neurobiologia, Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro Rio de Janeiro, Brazil
| | - Marcello G P Rosa
- Department of Physiology, Monash University Clayton, VIC, Australia ; Australian Research Council Centre of Excellence for Integrative Brain Function Clayton, VIC, Australia
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Muntané G, Horvath JE, Hof PR, Ely JJ, Hopkins WD, Raghanti MA, Lewandowski AH, Wray GA, Sherwood CC. Analysis of synaptic gene expression in the neocortex of primates reveals evolutionary changes in glutamatergic neurotransmission. ACTA ACUST UNITED AC 2014; 25:1596-607. [PMID: 24408959 DOI: 10.1093/cercor/bht354] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Increased relative brain size characterizes the evolution of primates, suggesting that enhanced cognition plays an important part in the behavioral adaptations of this mammalian order. In addition to changes in brain anatomy, cognition can also be regulated by molecular changes that alter synaptic function, but little is known about modifications of synapses in primate brain evolution. The aim of the current study was to investigate the expression patterns and evolution of 20 synaptic genes from the prefrontal cortex of 12 primate species. The genes investigated included glutamate receptors, scaffolding proteins, synaptic vesicle components, as well as factors involved in synaptic vesicle release and structural components of the nervous system. Our analyses revealed that there have been significant changes during primate brain evolution in the components of the glutamatergic signaling pathway in terms of gene expression, protein expression, and promoter sequence changes. These results could entail functional modifications in the regulation of specific genes related to processes underlying learning and memory.
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Affiliation(s)
- Gerard Muntané
- Department of Anthropology, The George Washington University, Washington, DC 20052, USA
| | - Julie E Horvath
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27707, USA North Carolina Museum of Natural Sciences, Nature Research Center, Raleigh, NC 27601, USA Department of Biology, NC Central University, Durham, NC 27707, USA
| | - Patrick R Hof
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029 New York Consortium for Primate Evolution, New York, NY 10024, USA
| | - John J Ely
- Alamogordo Primate Facility, Holloman Air Force Base, NM 88330, USA
| | - William D Hopkins
- Neuroscience Institute and Language Research Center, Georgia State University, Atlanta, GA 30302, USA
| | - Mary Ann Raghanti
- Department of Anthropology and School of Biomedical Sciences, Kent State University, Kent, OH 44242, USA
| | | | - Gregory A Wray
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27707, USA Biology Department, Duke University, Durham, NC, USA
| | - Chet C Sherwood
- Department of Anthropology, The George Washington University, Washington, DC 20052, USA
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17
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MRI-based morphometric characterizations of sexual dimorphism of the cerebrum of ferrets (Mustela putorius). Neuroimage 2013; 83:294-306. [DOI: 10.1016/j.neuroimage.2013.06.024] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2013] [Revised: 05/30/2013] [Accepted: 06/03/2013] [Indexed: 11/17/2022] Open
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18
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Abstract
The layout of areas in the cerebral cortex of different primates is quite similar, despite significant variations in brain size. However, it is clear that larger brains are not simply scaled up versions of smaller brains: some regions of the cortex are disproportionately large in larger species. It is currently debated whether these expanded areas arise through natural selection pressures for increased cognitive capacity or as a result of the application of a common developmental sequence on different scales. Here, we used computational methods to map and quantify the expansion of the cortex in simian primates of different sizes to investigate whether there is any common pattern of cortical expansion. Surface models of the marmoset, capuchin, and macaque monkey cortex were registered using the software package CARET and the spherical landmark vector difference algorithm. The registration was constrained by the location of identified homologous cortical areas. When comparing marmosets with both capuchins and macaques, we found a high degree of expansion in the temporal parietal junction, the ventrolateral prefrontal cortex, and the dorsal anterior cingulate cortex, all of which are high-level association areas typically involved in complex cognitive and behavioral functions. These expanded maps correlated well with previously published macaque to human registrations, suggesting that there is a general pattern of primate cortical scaling.
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Cloutman LL, Lambon Ralph MA. Connectivity-based structural and functional parcellation of the human cortex using diffusion imaging and tractography. Front Neuroanat 2012; 6:34. [PMID: 22952459 PMCID: PMC3429885 DOI: 10.3389/fnana.2012.00034] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2012] [Accepted: 07/28/2012] [Indexed: 01/17/2023] Open
Abstract
The parcellation of the cortex via its anatomical properties has been an important research endeavor for over a century. To date, however, a universally accepted parcellation scheme for the human brain still remains elusive. In the current review, we explore the use of in vivo diffusion imaging and white matter tractography as a non-invasive method for the structural and functional parcellation of the human cerebral cortex, discussing the strengths and limitations of the current approaches. Cortical parcellation via white matter connectivity is based on the premise that, as connectional anatomy determines functional organization, it should be possible to segregate functionally-distinct cortical regions by identifying similarities and differences in connectivity profiles. Recent studies have provided initial evidence in support of the efficacy of this connectional parcellation methodology. Such investigations have identified distinct cortical subregions which correlate strongly with functional regions identified via fMRI and meta-analyses. Furthermore, a strong parallel between the cortical regions defined via tractographic and more traditional cytoarchitectonic parcellation methods has been observed. However, the degree of correspondence and relative functional importance of cytoarchitectonic- versus connectivity-derived parcellations still remains unclear. Diffusion tractography remains one of the only methods capable of visualizing the structural networks of the brain in vivo. As such, it is of vital importance to continue to improve the accuracy of the methodology and to extend its potential applications in the study of cognition in neurological health and disease.
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Affiliation(s)
- Lauren L Cloutman
- Neuroscience and Aphasia Research Unit, School of Psychological Sciences, University of Manchester Manchester, UK
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Reser DH, Burman KJ, Yu HH, Chaplin TA, Richardson KE, Worthy KH, Rosa MGP. Contrasting patterns of cortical input to architectural subdivisions of the area 8 complex: a retrograde tracing study in marmoset monkeys. ACTA ACUST UNITED AC 2012; 23:1901-22. [PMID: 22735155 DOI: 10.1093/cercor/bhs177] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Contemporary studies recognize 3 distinct cytoarchitectural and functional areas within the Brodmann area 8 complex, in the caudal prefrontal cortex: 8b, 8aD, and 8aV. Here, we report on the quantitative characteristics of the cortical projections to these areas, using injections of fluorescent tracers in marmoset monkeys. Area 8b was distinct from both 8aD and 8aV due to its connections with medial prefrontal, anterior cingulate, superior temporal polysensory, and ventral midline/retrosplenial areas. In contrast, areas 8aD and 8aV received the bulk of the projections from posterior parietal cortex and dorsal midline areas. In the frontal lobe, area 8aV received projections primarily from ventrolateral areas, while both 8aD and 8b received dense inputs from areas on the dorsolateral surface. Whereas area 8aD received the most significant auditory projections, these were relatively sparse, in comparison with those previously reported in macaques. Finally, area 8aV was distinct from both 8aD and 8b by virtue of its widespread input from the extrastriate visual areas. These results are compatible with a homologous organization of the prefrontal cortex in New and Old World monkeys, and suggest significant parallels between the present pathways, revealed by tract-tracing, and networks revealed by functional connectivity analysis in Old World monkeys and humans.
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Affiliation(s)
- David H Reser
- Department of Physiology, Monash University, Clayton, Victoria 3800, Australia.
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Burman KJ, Reser DH, Richardson KE, Gaulke H, Worthy KH, Rosa MGP. Subcortical projections to the frontal pole in the marmoset monkey. Eur J Neurosci 2011; 34:303-19. [DOI: 10.1111/j.1460-9568.2011.07744.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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