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Grimstvedt JS, Shelton AM, Hoerder‐Suabedissen A, Oliver DK, Berndtsson CH, Blankvoort S, Nair RR, Packer AM, Witter MP, Kentros CG. A multifaceted architectural framework of the mouse claustrum complex. J Comp Neurol 2023; 531:1772-1795. [PMID: 37782702 PMCID: PMC10953385 DOI: 10.1002/cne.25539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 10/04/2023]
Abstract
Accurate anatomical characterizations are necessary to investigate neural circuitry on a fine scale, but for the rodent claustrum complex (CLCX), this has yet to be fully accomplished. The CLCX is generally considered to comprise two major subdivisions, the claustrum (CL) and the dorsal endopiriform nucleus (DEn), but regional boundaries to these areas are debated. To address this, we conducted a multifaceted analysis of fiber- and cytoarchitecture, genetic marker expression, and connectivity using mice of both sexes, to create a comprehensive guide for identifying and delineating borders to CLCX, including an online reference atlas. Our data indicated four distinct subregions within CLCX, subdividing both CL and DEn into two. Additionally, we conducted brain-wide tracing of inputs to CLCX using a transgenic mouse line. Immunohistochemical staining against myelin basic protein (MBP), parvalbumin (PV), and calbindin (CB) revealed intricate fiber-architectural patterns enabling precise delineations of CLCX and its subregions. Myelinated fibers were abundant dorsally in CL but absent ventrally, whereas PV expressing fibers occupied the entire CL. CB staining revealed a central gap within CL, also visible anterior to the striatum. The Nr2f2, Npsr1, and Cplx3 genes expressed specifically within different subregions of the CLCX, and Rprm helped delineate the CL-insular border. Furthermore, cells in CL projecting to the retrosplenial cortex were located within the myelin sparse area. By combining own experimental data with digitally available datasets of gene expression and input connectivity, we could demonstrate that the proposed delineation scheme allows anchoring of datasets from different origins to a common reference framework.
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Affiliation(s)
- Joachim S. Grimstvedt
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
| | - Andrew M. Shelton
- Department of Physiology, Anatomy & GeneticsUniversity of OxfordOxfordUK
| | | | - David K. Oliver
- Department of Physiology, Anatomy & GeneticsUniversity of OxfordOxfordUK
| | - Christin H. Berndtsson
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
| | - Stefan Blankvoort
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
| | - Rajeevkumar R. Nair
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
| | - Adam M. Packer
- Department of Physiology, Anatomy & GeneticsUniversity of OxfordOxfordUK
| | - Menno P. Witter
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
| | - Clifford G. Kentros
- Kavli Institute for Systems NeuroscienceNTNU Norwegian University of Science and TechnologyTrondheimNorway
- Institute of NeuroscienceUniversity of OregonEugeneOregonUSA
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Differential distribution of inhibitory neuron types in subregions of claustrum and dorsal endopiriform nucleus of the short-tailed fruit bat. Brain Struct Funct 2022; 227:1615-1640. [PMID: 35188589 DOI: 10.1007/s00429-022-02459-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 01/17/2022] [Indexed: 12/22/2022]
Abstract
Few brain regions have such wide-ranging inputs and outputs as the claustrum does, and fewer have posed equivalent challenges in defining their structural boundaries. We studied the distributions of three calcium-binding proteins-calretinin, parvalbumin, and calbindin-in the claustrum and dorsal endopiriform nucleus of the fruit bat, Carollia perspicillata. The proportionately large sizes of claustrum and dorsal endopiriform nucleus in Carollia brain afford unique access to these structures' intrinsic anatomy. Latexin immunoreactivity permits a separation of claustrum into core and shell subregions and an equivalent separation of dorsal endopiriform nucleus. Using latexin labeling, we found that the claustral shell in Carollia brain can be further subdivided into at least four distinct subregions. Calretinin and parvalbumin immunoreactivity reinforced the boundaries of the claustral core and its shell subregions with diametrically opposite distribution patterns. Calretinin, parvalbumin, and calbindin all colocalized with GAD67, indicating that these proteins label inhibitory neurons in both claustrum and dorsal endopiriform nucleus. Calretinin, however, also colocalized with latexin in a subset of neurons. Confocal microscopy revealed appositions that suggest synaptic contacts between cells labeled for each of the three calcium-binding proteins and latexin-immunoreactive somata in claustrum and dorsal endopiriform nucleus. Our results indicate significant subregional differences in the intrinsic inhibitory connectivity within and between claustrum and dorsal endopiriform nucleus. We conclude that the claustrum is structurally more complex than previously appreciated and that claustral and dorsal endopiriform nucleus subregions are differentially modulated by multiple inhibitory systems. These findings can also account for the excitability differences between claustrum and dorsal endopiriform nucleus described previously.
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Gamberini M, Passarelli L, Impieri D, Montanari G, Diomedi S, Worthy KH, Burman KJ, Reser DH, Fattori P, Galletti C, Bakola S, Rosa MGP. Claustral Input to the Macaque Medial Posterior Parietal Cortex (Superior Parietal Lobule and Adjacent Areas). Cereb Cortex 2021; 31:4595-4611. [PMID: 33939798 DOI: 10.1093/cercor/bhab108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 03/30/2021] [Accepted: 03/31/2021] [Indexed: 11/14/2022] Open
Abstract
The projections from the claustrum to cortical areas within and adjacent to the superior parietal lobule were studied in 10 macaque monkeys, using retrograde tracers, computerized reconstructions, and quantitative methods. In contrast with the classical view that posterior parietal areas receive afferents primarily from the dorsal and posterior regions of the claustrum, we found that these areas receive more extensive projections, including substantial afferents from the anterior and ventral regions of the claustrum. Moreover, our findings uncover a previously unsuspected variability in the precise regions of the claustrum that originate the projections, according to the target areas. For example, areas dominated by somatosensory inputs for control of body movements tend to receive most afferents from the dorsal-posterior claustrum, whereas those which also receive significant visual inputs tend to receive more afferents from the ventral claustrum. In addition, different areas within these broadly defined groups differ in terms of quantitative emphasis in the origin of projections. Overall, these results argue against a simple model whereby adjacency in the cortex determines adjacency in the sectors of claustral origin of projections and indicate that subnetworks defined by commonality of function may be an important factor in defining claustrocortical topography.
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Affiliation(s)
- Michela Gamberini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy
| | - Lauretta Passarelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy
| | - Daniele Impieri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy
| | - Giulia Montanari
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy
| | - Stefano Diomedi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy
| | - Katrina H Worthy
- Department of Physiology and Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.,Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, Victoria 3800, Australia
| | - Kathleen J Burman
- Department of Physiology and Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia
| | - David H Reser
- Department of Physiology and Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.,Graduate Entry Medicine Program, Monash Rural Health-Churchill, Churchill, Victoria 3842, Australia
| | - Patrizia Fattori
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy
| | - Claudio Galletti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy
| | - Sophia Bakola
- Department of Physiology and Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.,Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, Victoria 3800, Australia
| | - Marcello G P Rosa
- Department of Physiology and Neuroscience Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.,Australian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, Victoria 3800, Australia
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Marriott BA, Do AD, Zahacy R, Jackson J. Topographic gradients define the projection patterns of the claustrum core and shell in mice. J Comp Neurol 2021; 529:1607-1627. [PMID: 32975316 PMCID: PMC8048916 DOI: 10.1002/cne.25043] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 09/14/2020] [Accepted: 09/17/2020] [Indexed: 01/05/2023]
Abstract
The claustrum is densely connected to the cortex and participates in brain functions such as attention and sleep. Although some studies have reported the widely divergent organization of claustrum projections, others describe parallel claustrocortical connections to different cortical regions. Therefore, the details underlying how claustrum neurons broadcast information to cortical networks remain incompletely understood. Using multicolor retrograde tracing we determined the density, topography, and co-projection pattern of 14 claustrocortical pathways, in mice. We spatially registered these pathways to a common coordinate space and found that the claustrocortical system is topographically organized as a series of overlapping spatial modules, continuously distributed across the dorsoventral claustrum axis. The claustrum core projects predominantly to frontal-midline cortical regions, whereas the dorsal and ventral shell project to the cortical motor system and temporal lobe, respectively. Anatomically connected cortical regions receive common input from a subset of claustrum neurons shared by neighboring modules, whereas spatially separated regions of cortex are innervated by different claustrum modules. Therefore, each output module exhibits a unique position within the claustrum and overlaps substantially with other modules projecting to functionally related cortical regions. Claustrum inhibitory cells containing parvalbumin, somatostatin, and neuropeptide Y also show unique topographical distributions, suggesting different output modules are controlled by distinct inhibitory circuit motifs. The topographic organization of excitatory and inhibitory cell types may enable parallel claustrum outputs to independently coordinate distinct cortical networks.
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Affiliation(s)
- Brian A. Marriott
- Neuroscience and Mental Health InstituteUniversity of AlbertaEdmontonAlbertaCanada
| | - Alison D. Do
- Department of PhysiologyUniversity of AlbertaEdmontonAlbertaCanada
| | - Ryan Zahacy
- Neuroscience and Mental Health InstituteUniversity of AlbertaEdmontonAlbertaCanada
| | - Jesse Jackson
- Neuroscience and Mental Health InstituteUniversity of AlbertaEdmontonAlbertaCanada
- Department of PhysiologyUniversity of AlbertaEdmontonAlbertaCanada
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