Thalamocortical Projection Neuron and Interneuron Numbers in the Visual Thalamic Nuclei of the Adult C57BL/6 Mouse
Open accessAbstract
A key parameter to constrain predictive, bottom-up circuit models of a given brain domain is the number and position of the neuronal populations involved. These include not only the neurons whose bodies reside within the domain, but also the neurons in distant regions that innervate the domain. The mouse visual cortex receives its main subcortical input from the dorsal lateral geniculate nucleus (dLGN) and the lateral posterior (LP) complex of the thalamus. The latter consists of three different nuclei: lateral posterior lateral (LPL), lateral posterior medial rostral (LPMR), and lateral posterior medial caudal (LPMC), each exhibiting specific patterns of connections with the various visual cortical areas. Here, we have determined the number of thalamocortical projection neurons and interneurons in the LP complex and dLGN of the adult C57BL/6 male mouse. We combined Nissl staining and histochemical and immunolabeling methods for consistently delineating nuclei borders, and applied unbiased stereological cell counting methods. Thalamic interneurons were identified using GABA immunolabeling. The C57BL/6 dLGN contains ∼21,200 neurons, while LP complex contains ∼31,000 total neurons. The dLGN and LP are the only nuclei of the mouse dorsal thalamus containing substantial numbers GABA-immunoreactive interneurons. These interneurons, however, are scarcer than previously estimated; they are 5.6% of dLGN neurons and just 1.9% of the LP neurons. It can be thus inferred that the dLGN contains ∼20,000 and the LP complex ∼30,400 thalamocortical projection neurons (∼12,000 in LPL, 15,200 in LPMR, and 4,200 in LPMC). The present dataset is relevant for constraining models of mouse visual thalamocortical circuits, as well as for quantitative comparisons between genetically modified mouse strains, or across species.
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Regions with higher mean activity and glucose demands tend to match those ROIs that swell.
“Regions with higher mean activity and glucose demands tend to match those ROIs that swell.”
From Magnetic resonance microscopy maps widespread effects of Alzheimer’s disease on brain structures and behavior in mice (2026) · cites this paper as [49]
The Results section on dLGN and LP complex volume reports anatomical volume differences, not swelling of regions with higher mean activity or glucose demand. The Discussion section on volume speculates that the larger left dLGN might reflect lateralized sensory use, but does not test the claimed relationship. Searches for glucose metabolism, activity and swelling found no passage addressing it; page numbers were not available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredPolarities of effects are linked to differences in metabolic rates.
“One plausible idea is that polarities of effects are linked to differences in metabolic rates49-51.”
From Magnetic resonance microscopy maps widespread effects of Alzheimer’s disease on brain structures and behavior in mice (2026) · cites this paper as [49]
The Introduction discusses differences in neuron numbers between mouse strains, and the Discussion describes differences in labeling among visual thalamic nuclei; neither links the polarity of effects to metabolic rates. Searches for the quoted phrase and for metabolic rates or metabolism found no passage in our copy addressing that proposed link. No page numbers were provided for these passages. (LLM, conf=0.76)
Experimental — accuracy not yet measuredCortex and hippocampus have higher glucose utilization than globus pallidus, as do the three exceptional nuclei in thalamus, hypothalamus, and midbrain that all increase in volume-the LGD, SCH, and ICC.
“For example, cortex and hippocampus have higher glucose utilization than globus pallidus, as do the three exceptional nuclei in thalamus, hypothalamus, and midbrain that all increase in volume—the LGD, SCH, and ICC (Fig. 4a,b)49,50.”
From Magnetic resonance microscopy maps widespread effects of Alzheimer’s disease on brain structures and behavior in mice (2026) · cites this paper as [49]
The Results section on dLGN and LP volume reports measurements and a left–right difference in dLGN volume, not an increase in volume across the three named nuclei. Searches for glucose utilization, globus pallidus, SCH, and ICC found no passage addressing the claimed comparisons. (LLM, conf=0.76)
Experimental — accuracy not yet measured
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Cites
The mouse brain in stereotaxic coordinates
Konsman, J. (2003) · Psychoneuroendocrinology · doi:10.1016/s0306-4530(03)00088-x · Cited by 16,796 · see citing works
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572 · see citing works
The efficiency of systematic sampling in stereology and its prediction *
Gundersen, H., & Jensen, E. B. V. (1987) · Journal of Microscopy · doi:10.1111/j.1365-2818.1987.tb02837.x · Cited by 3,586 · see citing works
Cellular Scaling Rules for the Brains of Marsupials: Not as “Primitive” as Expected
Santos, S. E. D., Porfírio, J., Cunha, F., Manger, P. R., Tavares, W. C., Pessôa, L. M., Raghanti, M. A., Sherwood, C. C., & Herculano‐Houzel, S. (2017) · Brain Behavior and Evolution · doi:10.1159/000452856 · Cited by 2,651 · see citing works
A mesoscale connectome of the mouse brain
Oh, S. W., Harris, J. A., Ng, L., Winslow, B., Cain, N., Mihalas, S., Wang, Q., Lau, C., Kuan, L., Henry, A. M., et al. (2014) · Nature · doi:10.1038/nature13186 · Cited by 2,612 · see citing works
Wong‐Riley, M. T. T. (1979) · Brain Research · doi:10.1016/0006-8993(79)90728-5 · Cited by 1,853 · see citing works
Reconstruction and Simulation of Neocortical Microcircuitry
Markram, H., Muller, E., Ramaswamy, S., Reimann, M. W., Abdellah, M., Sanchez, C. A., Ailamaki, A., Alonso-Nanclares, L., Antille, N., Arsever, S., et al. (2015) · Cell · doi:10.1016/j.cell.2015.09.029 · Cited by 1,705 · see citing works
The efficiency of systematic sampling in stereology—reconsidered
GUNDERSEN, H. J. G., JENSEN, E. B. V., KIÊU, K., & NIELSEN, J. (1999) · Journal of Microscopy · doi:10.1046/j.1365-2818.1999.00457.x · Cited by 1,317 · see citing works
The glucose oxidase-DAB-nickel method in peroxidase histochemistry of the nervous system
Shu, S., Ju, G., & Fan, L. (1988) · Neuroscience Letters · doi:10.1016/0304-3940(88)90346-1 · Cited by 1,235 · see citing works
Unbiased stereological estimation of the number of neurons in the human hippocampus
West, M. J., & Gundersen, H. J. G. (1990) · Journal of Comparative Neurology · doi:10.1002/cne.902960102 · Cited by 1,153 · cited 1× · see citing works
“To calculate the numbers of total neurons (Nneu) and interneurons (NIN), we applied an optical fractionator design (West and Gundersen, 1990).”
MethodThe role of the thalamus in the flow of information to the cortex
Sherman, S. M., & Guillery, R. W. (2002) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1161 · Cited by 938 · see citing works
Ottersen, O. P., & Storm‐Mathisen, J. (1984) · The Journal of Comparative Neurology · doi:10.1002/cne.902290308 · Cited by 848 · see citing works
Thalamic Relay Functions and Their Role in Corticocortical Communication
Guillery, R. W., & Sherman, S. M. (2002) · Neuron · doi:10.1016/s0896-6273(01)00582-7 · Cited by 637 · see citing works
Distribution of acetyl cholinesterase in the hippocampal region of the guinea pig
Geneser-Jensen, F. A., & Blackstad, T. W. (1971) · Cell and Tissue Research · doi:10.1007/bf00325634 · Cited by 618 · see citing works
Area map of mouse visual cortex
Wang, Q., & Burkhalter, A. (2007) · The Journal of Comparative Neurology · doi:10.1002/cne.21286 · Cited by 498 · see citing works
Calretinin in rat brain: An immunohistochemical study
Résibois, A., & ROGERS, J. H. (1992) · Neuroscience · doi:10.1016/0306-4522(92)90012-q · Cited by 475 · see citing works
Thalamocortical development: how are we going to get there?
López‐Bendito, G., & Molnár, Z. (2003) · Nature reviews. Neuroscience · doi:10.1038/nrn1075 · Cited by 447 · see citing works
Modeling Sleep and Wakefulness in the Thalamocortical System
Hill, S., & Tononi, G. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00915.2004 · Cited by 417 · see citing works
A platform for brain-wide imaging and reconstruction of individual neurons
Economo, M. N., Clack, N. G., Lavis, L. D., Gerfen, C. R., Svoboda, K., Myers, E. W., & Chandrashekar, J. (2016) · eLife · doi:10.7554/elife.10566 · Cited by 404 · see citing works
Fujiyama, F., Furuta, T., & Kaneko, T. (2001) · The Journal of Comparative Neurology · doi:10.1002/cne.1037 · Cited by 374 · see citing works
Markram, H. (2012) · Scientific American · doi:10.1038/scientificamerican0612-50 · Cited by 325 · see citing works
Architecture, Function, and Assembly of the Mouse Visual System
Seabrook, T. A., Burbridge, T. J., Crair, M. C., & Huberman, A. D. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-033842 · Cited by 297 · see citing works
GABAergic Neurons in Mammalian Thalamus: A Marker of Thalamic Complexity?
Arcelli, P., Frassoni, C., Regondi, M. C., Biasi, S. D., & Spreafico, R. (1997) · Brain Research Bulletin · doi:10.1016/s0361-9230(96)00107-4 · Cited by 288 · see citing works
Ohara, P. T., Lieberman, A. R., Hunt, S. P., & Jy, W. (1983) · Neuroscience · doi:10.1016/0306-4522(83)90060-x · Cited by 267 · see citing works
Convergence of Cortical and Sensory Driver Inputs on Single Thalamocortical Cells
Groh, A., Bokor, H., Mease, R. A., Plattner, V. M., Hangya, B., Stroh, A., Deschênes, M., & Acsády, L. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht173 · Cited by 226 · see citing works
Retinofugal projections in the mouse
Morin, L. P., & Studholme, K. M. (2014) · The Journal of Comparative Neurology · doi:10.1002/cne.23635 · Cited by 197 · see citing works
Konopaske, G. T., Dorph‐Petersen, K., Pierri, J. N., Wu, Q., Sampson, A. R., & Lewis, D. A. (2006) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301233 · Cited by 192 · see citing works
Bickford, M. E., Zhou, N., Krahe, T. E., Govindaiah, G., & Guido, W. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3375-14.2015 · Cited by 154 · see citing works
The organization of the lateral thalamus of the hooded rat
Takahashi, T. T. (1985) · The Journal of Comparative Neurology · doi:10.1002/cne.902310302 · Cited by 154 · see citing works
Distribution of calretinin, calbindin-D28k, and parvalbumin in the rat thalamus
Arai, R., Jacobowitz, D. M., & Deura, S. (1994) · Brain Research Bulletin · doi:10.1016/0361-9230(94)90086-8 · Cited by 142 · see citing works
(2011) · doi:10.1159/000330825 · Cited by 138 · see citing works
Eye, Retina, and Visual System of the Mouse
Chalupa, L. M., & Williams, R. W. (2008) · The MIT Press eBooks · doi:10.7551/mitpress/7578.001.0001 · Cited by 137 · see citing works
Tohmi, M., Meguro, R., Tsukano, H., Hishida, R., & Shibuki, K. (2014) · Current Biology · doi:10.1016/j.cub.2014.01.061 · Cited by 135 · see citing works
The mouse pulvinar nucleus: Organization of the tectorecipient zones
Zhou, N., Maire, P., Masterson, S. P., & Bickford, M. E. (2017) · Visual Neuroscience · doi:10.1017/s0952523817000050 · Cited by 124 · see citing works
Heumann, D., & Rabinowicz, T. (1980) · Experimental Brain Research · doi:10.1007/bf00237933 · Cited by 121 · see citing works
The evolution and functions of nuclei of the visual pulvinar in primates
Baldwin, M. K. L., Balaram, P., & Kaas, J. H. (2017) · The Journal of Comparative Neurology · doi:10.1002/cne.24272 · Cited by 119 · see citing works
Bopp, R., Holler-Rickauer, S., Martin, K. A. C., & Schuhknecht, G. F. P. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2557-16.2017 · Cited by 106 · see citing works
Organization of the dorsal lateral geniculate nucleus in the mouse
Kerschensteiner, D., & Guido, W. (2017) · Visual Neuroscience · doi:10.1017/s0952523817000062 · Cited by 105 · see citing works
Cullen, M. J., & Kaiserman‐Abramof, I. R. (1976) · Journal of Neurocytology · doi:10.1007/bf01181648 · Cited by 94 · see citing works
Prosencephalic connections of striate and extrastriate areas of rat visual cortex
Sanderson, K. J., Dreher, B., & Gayer, N. (1991) · Experimental Brain Research · doi:10.1007/bf00229410 · Cited by 87 · see citing works
Pronounced loss of cell nuclei and anisotropic deformation of thick sections
Andersen, & Gundersen (1999) · Journal of Microscopy · doi:10.1046/j.1365-2818.1999.00555.x · Cited by 86 · see citing works
Nakamura, H., Hioki, H., Furuta, T., & Kaneko, T. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12882 · Cited by 82 · see citing works
Li, J., Wang, S., & Bickford, M. E. (2003) · The Journal of Comparative Neurology · doi:10.1002/cne.10646 · Cited by 82 · see citing works
Refinement of the Retinogeniculate Synapse by Bouton Clustering
Hong, Y. K., Park, S., Litvina, E. Y., Morales, J., Sanes, J. R., & Chen, C. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.059 · Cited by 82 · see citing works
Winsky, L., Montpied, P., Arai, R., Martin, B. M., & Jacobowitz, D. M. (1992) · Neuroscience · doi:10.1016/0306-4522(92)90391-e · Cited by 82 · see citing works
Ultrastructural examination of diffuse and specific tectopulvinar projections in the tree shrew
Chomsung, R. D., Petry, H. M., & Bickford, M. E. (2008) · The Journal of Comparative Neurology · doi:10.1002/cne.21763 · Cited by 75 · see citing works
Synaptic organization of the tectorecipient zone of the rat lateral posterior nucleus
Masterson, S. P., Li, J., & Bickford, M. E. (2009) · The Journal of Comparative Neurology · doi:10.1002/cne.22077 · Cited by 68 · see citing works
Distribution and density of GABA cells in intralaminar and adjacent nuclei of monkey thalamus
Hunt, C. A., Pang, D., & Jones, E. G. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90426-o · Cited by 67 · see citing works
Retinal Input Directs the Recruitment of Inhibitory Interneurons into Thalamic Visual Circuits
Golding, B., Pouchelon, G., Bellone, C., Murthy, S. S., Nardo, A. A. D., Govindan, S., Ogawa, M., Shimogori, T., Lüscher, C., Dayer, A. G., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.032 · Cited by 64 · see citing works
Inferring cortical function in the mouse visual system through large-scale systems neuroscience
Hawrylycz, M., Anastassiou, C., Arkhipov, A., Berg, J., Buice, M. A., Cain, N., Gouwens, N. W., Gratiy, S. L., Iyer, R., Lee, J. H., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1512901113 · Cited by 64 · see citing works
Stereological Analysis of Neuron, Glial and Endothelial Cell Numbers in the Human Amygdaloid Complex
García‐Amado, M., & Prensa, L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038692 · Cited by 63 · see citing works
Self-citationNeuron somal size is decreased in the lateral amygdalar nucleus of subjects with bipolar disorder
Bezchlibnyk, Y. B., Sun, X., Wang, J., MacQUEEN, G. M., McEwen, B. S., & Young, L. T. (2007) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0720 · Cited by 60 · see citing works
Cortical connections of the rat lateral posterior thalamic nucleus
Kamishina, H., Conte, W. L., Patel, S. S., Tai, R. J., Corwin, J. V., & Reep, R. L. (2009) · Brain Research · doi:10.1016/j.brainres.2009.01.024 · Cited by 60 · see citing works
Tectal-derived interneurons contribute to phasic and tonic inhibition in the visual thalamus
Jager, P., Ye, Z., Yu, X., Zagoraiou, L., Prekop, H.-T., Partanen, J. M., Jessell, T. M., Wisden, W., Brickley, S. G., & Delogu, A. (2016) · Nature Communications · doi:10.1038/ncomms13579 · Cited by 57 · see citing works
Bermejo, P. E., Jiménez, C. E., Torres, C. V., & Avendaño, C. (2003) · The Journal of Comparative Neurology · doi:10.1002/cne.10747 · Cited by 55 · see citing works
Hammer, S., Carrillo, G. L., Govindaiah, G., Monavarfeshani, A., Bircher, J. S., Su, J., Guido, W., & Fox, M. A. (2014) · Neural Development · doi:10.1186/1749-8104-9-16 · Cited by 53 · see citing works
Baryshnikova, L. M., Halbach, O. V. B. U., Kaplan, S., & von Bartheld, C. S. (2006) · Microscopy Research and Technique · doi:10.1002/jemt.20345 · Cited by 44 · see citing works
Genetic Control of Interconnected Neuronal Populations in the Mouse Primary Visual System
Seecharan, D. J., Kulkarni, A. L., Lu, L., Rosen, G. D., & Williams, R. W. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-35-11178.2003 · Cited by 43 · see citing works
Spreafico, R., Frassoni, C., Arcelli, P., & Biasi, S. D. (1994) · Neuroscience · doi:10.1016/0306-4522(94)90299-2 · Cited by 34 · see citing works
A stereological analysis of the lateral geniculate nucleus in adult Macaca nemestrina monkeys
Blasco, B., Avendaño, C., & Cavada, C. (1999) · Visual Neuroscience · doi:10.1017/s0952523899165131 · Cited by 34 · see citing works
Treviño, M. (2014) · Scientific Reports · doi:10.1038/srep07569 · Cited by 31 · see citing works
Surface-based mapping of gene expression and probabilistic expression maps in the mouse cortex
Ng, L., Lau, C., Sunkin, S. M., Bernard, A., Chakravarty, M. M., Lein, E. S., Jones, A. R., & Hawrylycz, M. (2009) · Methods · doi:10.1016/j.ymeth.2009.10.001 · Cited by 21 · see citing works
Cellular Organization in Rat Somatosensory Cortex: Effects of Sex and Laterality
Tobet, S. A., Roca, A. L., & Crandall, J. E. (1993) · Experimental Neurology · doi:10.1006/exnr.1993.1072 · Cited by 19 · see citing works
Machín, R., Blasco, B., Bjugn, R., & Avendaño, C. (2004) · Brain Research · doi:10.1016/j.brainres.2004.07.077 · Cited by 17 · see citing works
Dursun, İ., Jakubowska-Doğru, E., Elibol, B., van der List, D. A., Chapman, B., Qi, L., & Berman, R. F. (2013) · Alcohol · doi:10.1016/j.alcohol.2012.12.013 · Cited by 14 · see citing works
Werner, L., Neumann, E. E., & Winkelmann, E. (1984) · PubMed · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Jones E. G. (2007). The Thalamus 3rd Edn. New York, NY: Cambridge University Press.
Cited by
Sorted by citations
Qiu, Y., Zhao, Z., Klindt, D. A., Kautzky, M., Szatko, K. P., Schaeffel, F., Rifai, K., Franke, K., Busse, L., & Euler, T. (2021) · Current Biology · doi:10.1016/j.cub.2021.05.017 · Cited by 104 · see citing works
Kirchgessner, M. A., Franklin, A. D., & Callaway, E. M. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2002080117 · Cited by 87 · see citing works
Fang, Q., Chou, X.-L., Peng, B., Zhong, W., Zhang, L. I., & Tao, H. W. (2019) · Neuron · doi:10.1016/j.neuron.2019.10.027 · Cited by 85 · see citing works
Chou, X.-L., Fang, Q., Yan, L., Zhong, W., Peng, B., Li, H., Wei, J., Tao, H. W., & Zhang, L. I. (2020) · eLife · doi:10.7554/elife.54157 · Cited by 81 · see citing works
Densities and numbers of calbindin and parvalbumin positive neurons across the rat and mouse brain
Bjerke, I. E., Yates, S. C., Laja, A., Witter, M. P., Puchades, M. A., Bjaalie, J. G., & Leergaard, T. B. (2020) · iScience · doi:10.1016/j.isci.2020.101906 · Cited by 66 · see citing works
Dual midbrain and forebrain origins of thalamic inhibitory interneurons
Jager, P., Moore, G., Calpin, P., Durmishi, X., Salgarella, I., Menage, L., Kita, Y., Wang, Y., Kim, D. W., Blackshaw, S., et al. (2021) · eLife · doi:10.7554/elife.59272 · Cited by 61 · see citing works
Development of the thalamus: From early patterning to regulation of cortical functions
Nakagawa, Y. (2019) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.345 · Cited by 59 · see citing works
Corticothalamic feedback sculpts visual spatial integration in mouse thalamus
Born, G., Schneider-Soupiadis, F. A., Erisken, S., Vaičeliūnaitė, A., Lao, C. L., Mobarhan, M. H., Spacek, M. A., Einevoll, G. T., & Busse, L. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00943-0 · Cited by 58 · see citing works
Limited functional convergence of eye-specific inputs in the retinogeniculate pathway of the mouse
Bauer, J., Weiler, S., Fernholz, M. H. P., Laubender, D., Scheuß, V., Hübener, M., Bonhoeffer, T., & Rose, T. (2021) · Neuron · doi:10.1016/j.neuron.2021.05.036 · Cited by 58 · see citing works
TCF7L2 regulates postmitotic differentiation programs and excitability patterns in the thalamus
Lipiec, M. A., Koziński, K., Zajkowski, T., Bem, J., Urban‐Ciećko, J., Dąbrowski, M., Chakraborty, C., Szewczyk, Ł. M., Toval, Á., Ferrán, J. L., et al. (2020) · Development · doi:10.1242/dev.190181 · Cited by 50 · see citing works
Thalamic inhibitory circuits and network activity development
Murata, Y., & Colonnese, M. T. (2018) · Brain Research · doi:10.1016/j.brainres.2018.10.024 · Cited by 49 · see citing works
Iavarone, E., Simko, J., Shi, Y., Bertschy, M., García‐Amado, M., Litvak, P., Kaufmann, A.-K., O’Reilly, C., Amsalem, O., Abdellah, M., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112200 · Cited by 41 · see citing works
Self-citationRodent somatosensory thalamocortical circuitry: Neurons, synapses, and connectivity
O’Reilly, C., Iavarone, E., Yi, J., & Hill, S. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.03.015 · Cited by 43 · see citing works
Developmental Remodeling of Thalamic Interneurons Requires Retinal Signaling
Charalambakis, N., Govindaiah, G., Campbell, P. W., & Guido, W. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2224-18.2019 · Cited by 41 · see citing works
Babl, S. S., Rummell, B., & Sigurdsson, T. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.09.049 · Cited by 40 · see citing works
Leow, Y. N., Zhou, B., Sullivan, H. A., Barlowe, A. R., Wickersham, I. R., & Sur, M. (2022) · The Journal of Comparative Neurology · doi:10.1002/cne.25317 · Cited by 38 · see citing works
A combinatorial input landscape in the “higher-order relay” posterior thalamic nucleus
Casas-Torremocha, D., Rubio-Teves, M., Hoerder‐Suabedissen, A., Hayashi, S., Prensa, L., Molnár, Z., Porrero, C., & Clascá, F. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0698-22.2022 · Cited by 39 · see citing works
Self-citationSabbagh, U., Govindaiah, G., Somaiya, R. D., Ha, R. V., Wei, J., Guido, W., & Fox, M. A. (2020) · Journal of Neurochemistry · doi:10.1111/jnc.15101 · Cited by 35 · see citing works
A phylogenetically-conserved axis of thalamocortical connectivity in the human brain
Oldham, S., & Ball, G. (2023) · Nature Communications · doi:10.1038/s41467-023-41722-8 · Cited by 34 · see citing works
Weil, T. A., Daly, K. M., Yarur, H. E., Thomsen, M. B., Wang, H., Mercau, M. E., Hattar, S. S., Tejeda, H. A., & Fernandez, D. C. (2022) · Science Advances · doi:10.1126/sciadv.abn3567 · Cited by 29 · see citing works
Retinal inputs signal astrocytes to recruit interneurons into visual thalamus
Su, J., Charalambakis, N., Sabbagh, U., Somaiya, R. D., Monavarfeshani, A., Guido, W., & Fox, M. A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1913053117 · Cited by 23 · see citing works
Revealing the Precise Role of Calretinin Neurons in Epilepsy: We Are on the Way
Qi, Y., Cheng, H., Wang, Y., & Chen, Z. (2021) · Neuroscience Bulletin · doi:10.1007/s12264-021-00753-1 · Cited by 23 · see citing works
Atapour, N., Worthy, K. H., & Rosa, M. G. P. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02257-0 · Cited by 19 · see citing works
MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex
Shi, J., Tripp, B., Shea‐Brown, E., Mihalaş, Ş., & Buice, M. A. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010427 · Cited by 19 · see citing works
Simko, J., & Markram, H. (2021) · The Journal of Physiology · doi:10.1113/jp281711 · Cited by 15 · see citing works
Markicevic, M., Sturman, O., Bohacek, J., Rudin, M., Zerbi, V., Fulcher, B., & Wenderoth, N. (2023) · eLife · doi:10.7554/elife.78620 · Cited by 14 · see citing works
Developmental distribution of primary cilia in the retinofugal visual pathway
Alvarado, J. A., Dhande, O. S., Prosseda, P. P., Kowal, T. J., Ning, K., Jabbehdari, S., Hu, Y., & Sun, Y. (2020) · The Journal of Comparative Neurology · doi:10.1002/cne.25029 · Cited by 13 · see citing works
Gehr, C., Sibille, J., & Kremkow, J. (2023) · eLife · doi:10.7554/elife.88289.3 · Cited by 9 · see citing works
Sonic hedgehog-dependent recruitment of GABAergic interneurons into the developing visual thalamus
Somaiya, R. D., Stebbins, K., Gingrich, E. C., Xie, H., Campbell, J. N., Garcia, A. D. R., & Fox, M. A. (2022) · eLife · doi:10.7554/elife.79833 · Cited by 8 · see citing works
Experience-dependent MeCP2 expression in the excitatory cells of mouse visual thalamus
Yagasaki, Y., Miyoshi, G., & Miyata, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198268 · Cited by 7 · see citing works
Alterations in the functional connectivity of thalamic subregions after basal ganglia stroke
Cheng, Q., Liu, S., Wang, J., Wang, Y., Han, B., Wang, L., & Jin, S. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1584290 · Cited by 5 · see citing works
Limited transmission of mixed convergent signals at the mouse retinogeniculate synapse
Sonoda, T., Jiang, Q., Jara-Marquez, I., Radell, H., Ledesma, H. A., Wei, W., & Chen, C. (2025) · Neuron · doi:10.1016/j.neuron.2025.06.015 · Cited by 5 · see citing works
Gehr, C., Sibille, J., & Kremkow, J. (2023) · eLife · doi:10.7554/elife.88289 · Cited by 16 · see citing works
Street, J. S., & Jeffery, K. J. (2024) · The Journal of Physiology · doi:10.1113/jp286868 · Cited by 4 · see citing works
A theory of capacity and sparse neural encoding
Baldi, P., & Vershynin, R. (2021) · Neural Networks · doi:10.1016/j.neunet.2021.05.005 · Cited by 5 · see citing works
The Mouse Visual System and Visual Perception
Busse, L. (2018) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-812012-5.00004-5 · Cited by 4 · see citing works
Cre driver mouse lines for thalamocortical circuit mapping
Sokhadze, G. E., Campbell, P. W., Charalambakis, N., Govindaiah, G., Guido, W., & McGee, A. W. (2021) · The Journal of Comparative Neurology · doi:10.1002/cne.25248 · Cited by 4 · see citing works
Fiuza, F. P., Queiroz, J. P. G., de Aquino, A. C. Q., Câmara, D. D. A., Brandão, L. E. M., Lima, R. H., Cavalcanti, J. R. L. D. P., Engelberth, R. C. G. J., & Cavalcante, J. S. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.613305 · Cited by 4 · see citing works
Feord, R. C., Gomoliszewska, A., Pienaar, A., Mouland, J. W., & Brown, T. M. (2023) · Scientific Reports · doi:10.1038/s41598-023-35885-z · Cited by 4 · see citing works
Thalamocortical Contributions to Neural Dynamics and Behavior
Jaramillo, J., & Guo, Z. V. (2023) · Oxford University Press eBooks · doi:10.1093/med/9780197676158.003.0035 · Cited by 2 · see citing works
Gorin, A., Miao, Y., Ahn, S.-H., Suresh, V., Su, Y., Çiftçioğlu, U. M., Sommer, F. T., & Hirsch, J. A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.10.549394 · Cited by 3 · see citing works
GABAergic Projections from the Pretectum Boost Retinogeniculate Signal Transfer via Disinhibition
Whitley, J. B., Masterson, S. P., Gordon, T., Whyland, K. L., Campbell, P. W., Zhou, N., Govindaiah, G., Guido, W., & Bickford, M. E. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.2325-24.2025 · Cited by 2 · see citing works
Cell-type specific binocular interactions in mouse visual thalamus
Masterson, S. P., Govindaiah, G., Guido, W., & Bickford, M. E. (2025) · iScience · doi:10.1016/j.isci.2025.112956 · Cited by 2 · see citing works
Evolution of Local Circuit Neurons in Two Sensory Thalamic Nuclei in Amniotes
Pritz, M. B. (2023) · Brain Behavior and Evolution · doi:10.1159/000530316 · Cited by 2 · see citing works
Gehr, C., Sibille, J., & Kremkow, J. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.07.536092 · Cited by 2 · see citing works
Tian, Y., Hornburg, K., Austin, W., Cook, J. J., Qi, Y., White, L. E., Killmar, J. T., Kaczorowski, C. C., Ashbrook, D. G., Johnson, G. A., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-025-02199-4 · Cited by 1 · see citing works
Population-level encoding of somatosensation in mouse sensorimotor cortex
Park, S., Lipton, M. H., & Dadarlat, M. C. (2026) · Journal of Neurophysiology · doi:10.1152/jn.00005.2026 · Cited by 3 · see citing works
Schröder, H., Moser, N., & Huggenberger, S. (2020) · Springer eBooks · doi:10.1007/978-3-030-19898-5_8 · Cited by 1 · see citing works
Thalamus and Prethalamus Cell Types and Their Interconnections
Bickford, M. E. (2023) · doi:10.1093/med/9780197676158.003.0002 · Cited by 1 · see citing works
A novel developmental critical period of orexinergic signaling in the primary visual thalamus
Sanetra, A. M., Jeczmien‐Lazur, J. S., Pradel, K., Klich, J. D., Palus‐Chramiec, K., Janik, M., Bajkacz, S., Izowit, G., Nathan, C., Piggins, H. D., et al. (2024) · iScience · doi:10.1016/j.isci.2024.110352 · Cited by 1 · see citing works
A Theory of Thalamocortical Loops in Evidence Accumulation and Decision-MakingPreprint
Berry, M. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.23.696263 · Cited by 1 · see citing works
A phylogenetically-conserved axis of thalamocortical connectivity in the human brainPreprint
Oldham, S., & Ball, G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.15.516574
Gehr, C., Sibille, J., & Kremkow, J. (2023) · eLife · doi:10.7554/elife.88289.2
Johnson, G. A., Tian, Y., Hornburg, K. J., Cook, J. J., Qi, Y. P., WHITE, L. E., KILLMAR, J. T., Kaczorowski, C. C., Ashbrook, D. G., & Williams, R. W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.08.632011
Tanimoto, S., & Fujisawa, S. (2025) · iScience · doi:10.1016/j.isci.2025.113958
Shapes of synaptic protein distributions distinguish brain architecturesPreprint
Martin Rehn, A., Cizeron, M., Qiu, Z., Grant, S. G. N., & Fransén, E. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.19.695447
Zikopoulos, B., Matuk, N., Romanova, I., & Yazdanbakhsh, A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.01.703170
Do Subsets of Widefield Vertical Cells Exist in the Mouse Superior Colliculus?
Naeem, N., Slusarczyk, A. S., & Bickford, M. E. (2026) · The Journal of Comparative Neurology · doi:10.1002/cne.70147
Subcortical Foundations of Binocular Vision: Circuits and Computation from Retina to Cortex and Back
Speer, C. M., & Triplett, J. W. (2026) · Annual Review of Vision Science · doi:10.1146/annurev-vision-110323-120135
Do we understand orientation selectivity? A simulation studyPreprint
Dictus, H., Arnaudon, A., Mandge, D., Herttuainen, J., Romani, A., & Markram, H. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.14.732589
- Authors
- Evangelio, M., García-Amado, M., & Clascá, F.
- Affiliations
- Universidad Autónoma de Madrid (ES)
- Corresponding author
- Clascá, Francisco
- ORCID
- Clascá, Francisco
- Venue
- Frontiers in Neuroanatomy
- Publisher
- Frontiers Media SA
- Published
- 2018-04-12
- Volume
- 12
- Pages
- 27-27
- ISSN
- 1662-5129 (ISSN-L)
- PMC
- PMC5906714
- OpenAlex
- W2797591839
- Cited by
- 61
- References
- 66
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 2 · 2023: 12 · 2022: 6 · 2021: 11 · 2020: 8 · 2019: 4 · 2018: 4
- FWCI
- 4.02
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Neuroanatomy (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Seventh Framework Programme (Grant Agreement No. 720270 HBP SGA1)
- Ministerio de Economça y Competitividad (BFU2017-88549)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- thalamic interneurons, GABAergic interneurons, dorsal lateral geniculate nucleus, thalamocortical circuits, C57BL/6 mice
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