The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Immunochemical characterization of inhibitory mouse cortical neurons: Three chemically distinct classes of inhibitory cells
Open accessAbstract
The cerebral cortex has diverse types of inhibitory neurons. In rat cortex, past research has shown that parvalbumin (PV), somatostatin (SOM), calretinin (CR), and cholecystokinin (CCK) label four distinct chemical classes of GABAergic interneurons. However, in contrast to rat cortex, previous studies indicate that there is significant colocalization of SOM and CR in mouse cortical inhibitory neurons. In the present study we further characterized immunochemical distinctions among mouse inhibitory cortical neurons by double immunochemical labeling with chemical markers. We found that, PV, SOM, and vasointenstinal peptide (VIP) reliably identify three nonoverlapping distinct subpopulations, as there was no overlap of immunoreactivity between PV and all the other chemical markers tested, and SOM and VIP did not show any overlap in labeled neurons in all the cortical areas. In comparison, there was significant overlap in combinations of other chemical markers. With some laminar and regional variations, the average overlap of SOM/CR (percentage of SOM+ cells expressing CR) and SOM/neuropeptide tyrosine (NPY) across all examined layers and cortical regions was 21.6% and 7.1%, respectively. The average overlap of VIP/CR, VIP/NPY, and CR/NPY was 34.2%, 9.5%, and 10%, respectively. We quantified and assessed the percentages of marker-positive GABAergic cells, and showed that the nonoverlapping subpopulations (i.e., PV+, SOM+ and VIP+ cells) accounted for about 60% of the GABAergic cell population. Taken together, our data reveal important chemical distinctions between mouse inhibitory cortical neurons and indicate that PV, SOM, and VIP can differentially label a majority of mouse inhibitory cortical neurons.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“On the other hand, O-LMs express PV, albeit at significantly lower levels than AACs/PVBCs/BiCs, while PV and SST are considered mutually exclusive in the neocortex (324, 344, 561, 568, 582, 721, 1142, 1237).”
From Hippocampal GABAergic Inhibitory Interneurons (2017) · cites this paper as [1237]
In the citing paper
“As noted earlier, PV+ and SST+ interneurons form relatively non-overlapping interneuron populations [132, 133].”
From An emerging circuit pharmacology of GABAA receptors (2018) · cites this paper as [133]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex
The Petilla Interneuron Nomenclature Group (PING) (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2402 · Cited by 1,491
GABAergic cell subtypes and their synaptic connections in rat frontal cortex
Kawaguchi, Y. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.6.476 · Cited by 1,416
Tamamaki, N., Yanagawa, Y., Tomioka, R., Miyazaki, J., Obata, K., & Kaneko, T. (2003) · The Journal of Comparative Neurology · doi:10.1002/cne.10905 · Cited by 1,277
Somogyi, P., Tamás, G., Luján, R., & Buhl, E. H. (1998) · Brain Research Reviews · doi:10.1016/s0165-0173(97)00061-1 · Cited by 876
Chattopadhyaya, B., Di Cristo, G., Higashiyama, H., Knott, G. W., Kuhlman, S. J., Welker, E., & Huang, Z. J. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1851-04.2004 · Cited by 596
Hendry, S. H. C., Jones, E. G., Emson, P. C., Lawson, D. E. M., Heizmann, C. W., & Streit, P. (1989) · Experimental Brain Research · doi:10.1007/bf00247904 · Cited by 512
Oliva, A. A., Jiang, M., Lam, T., Smith, K. L., & Swann, J. W. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-09-03354.2000 · Cited by 498
Three distinct families of GABAergic neurons in rat visual cortex
Gonchar, Y. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.4.347 · Cited by 481
Miyoshi, G., Butt, S. J. B., Takebayashi, H., & Fishell, G. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.1807-07.2007 · Cited by 400
Cited by
Sorted by citations
Items 101–200 of 426
Xu, X., Olivas, N. D., Ikrar, T., Peng, T., Holmes, T. C., Nie, Q., & Shi, Y. (2016) · The Journal of Physiology · doi:10.1113/jp271891 · Cited by 83
Self-citationc-Fos mapping of brain regions activated by multi-modal and electric foot shock stress
Lin, X., Itoga, C. A., Taha, S. A., Li, M. H., Chen, R., Sami, K., Berton, F., Francesconi, W., & Xu, X. (2018) · Neurobiology of Stress · doi:10.1016/j.ynstr.2018.02.001 · Cited by 92
Self-citationMcKenna, J. T., Yang, C. Z., Franciosi, S., Winston, S. H., Abarr, K. K., Rigby, M., Yanagawa, Y., McCarley, R. W., & Brown, R. E. (2012) · The Journal of Comparative Neurology · doi:10.1002/cne.23290 · Cited by 81
Ouellet, L., & de Villers‐Sidani, E. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00040 · Cited by 87
Spatio-temporal extension in site of origin for cortical calretinin neurons in primates
Hladnik, A., Džaja, D., Darmopil, S., Jovanov-MiloÅ¡ević, N., & Petanjek, Z. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00050 · Cited by 72
Apicella, A. J., Wickersham, I. R., Seung, H. S., & Shepherd, G. M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0011-12.2012 · Cited by 86
Learning and attention increase visual response selectivity through distinct mechanisms
Poort, J., Wilmes, K. A., Blot, A., Chadwick, A., Sahani, M., Clopath, C., Mrsic‐Flogel, T. D., Hofer, S. B., & Khan, A. G. (2021) · Neuron · doi:10.1016/j.neuron.2021.11.016 · Cited by 84
From Hiring to Firing: Activation of Inhibitory Neurons and Their Recruitment in Behavior
Swanson, O. K., & Maffei, A. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00168 · Cited by 84
Neuroanatomy of melanocortin‐4 receptor pathway in the lateral hypothalamic area
Cui, H., Sohn, J. W., Gautron, L., Funahashi, H., Williams, K. W., Elmquist, J. K., & Lutter, M. L. (2012) · The Journal of Comparative Neurology · doi:10.1002/cne.23145 · Cited by 83
Neurons on the Move: Migration and Lamination of Cortical Interneurons
Faux, C. H., Rakić, S., Andrews, W. D., & Britto, J. M. (2012) · Neurosignals · doi:10.1159/000334489 · Cited by 88
Tahvildari, B., Wölfel, M., Duque, A., & McCormick, D. A. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1181-12.2012 · Cited by 77
Cohen, L., & Mizrahi, A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1786-14.2015 · Cited by 83
Kaplan, E. S., Cooke, S. F., Komorowski, R. W., Chubykin, A. A., Thomazeau, A., Khibnik, L. A., Gavornik, J. P., & Bear, M. F. (2016) · eLife · doi:10.7554/elife.11450 · Cited by 77
Development of Cortical Interneurons
Chu, J., & Anderson, S. A. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.171 · Cited by 80
Functional diversity of supragranular GABAergic neurons in the barrel cortex
Gentet, L. J. (2012) · Frontiers in Neural Circuits · doi:10.3389/fncir.2012.00052 · Cited by 83
Nguyen, R., Venkatesan, S., Binko, M. A., Bang, J. Y., Cajanding, J. D., Briggs, C., Sargin, D., Imayoshi, I., Lambe, E. K., & Kim, J. C. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1919-19.2020 · Cited by 72
Rapid Neuromodulation of Layer 1 Interneurons in Human Neocortex
Poorthuis, R. B., Muhammad, K., Wang, M., Verhoog, M. B., Junek, S., Wrana, A., Mansvelder, H. D., & Letzkus, J. J. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.111 · Cited by 73
Li, Y.-T., Ma, W., Li, L., Ibrahim, L. A., Wang, S., & Tao, H. W. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3221-12.2012 · Cited by 71
Control of response reliability by parvalbumin-expressing interneurons in visual cortex
Zhu, Y., Qiao, W., Liu, K., Zhong, H., & Yao, H. (2015) · Nature Communications · doi:10.1038/ncomms7802 · Cited by 72
Antonio, A. S., Liban, K., Ikrar, T., Tsyganovskiy, E., & Xu, X. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23486 · Cited by 72
Self-citationDecorrelating Action of Inhibition in Neocortical Networks
Sippy, T., & Yuste, R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4579-12.2013 · Cited by 68
Mesik, L., Ma, W., Li, L., Ibrahim, L. A., Huang, Z. J., Zhang, L. I., & Tao, H. W. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00022 · Cited by 74
Gomez, S. T., Blonde, J. D., Mendoza-Halliday, D., Kuebler, E. S., Everest, M., Wang, X., Inoue, W., Poulter, M. O., & Martínez-Trujillo, J. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa056 · Cited by 68
Nguyen, A. Q., Cruz, J. A. D. D., Sun, Y., Holmes, T. C., & Xu, X. (2015) · The Journal of Comparative Neurology · doi:10.1002/cne.23954 · Cited by 70
Self-citationNeocortical calretinin neurons in primates: increase in proportion and microcircuitry structure
aja, D. D. ⁄., Hladnik, A., Bičanić, I., Baković, M., & Petanjek, Z. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00103 · Cited by 73
Cortical Circuits of Callosal GABAergic Neurons
Rock, C., Zurita, H., Lebby, S., Wilson, C. J., & Apicella, A. J. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx025 · Cited by 73
Topographic gradients define the projection patterns of the claustrum core and shell in mice
Marriott, B. A., Do, A. D., Zahacy, R., & Jackson, J. (2020) · The Journal of Comparative Neurology · doi:10.1002/cne.25043 · Cited by 67
Butt, S. J. B., Stacey, J. A., Teramoto, Y., & Vagnoni, C. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.03.011 · Cited by 65
Tereshko, L., Gao, Y., Cary, B. A., Turrigiano, G. G., & Sengupta, P. (2021) · eLife · doi:10.7554/elife.65427 · Cited by 60
Neves, G., Shah, M. M., Liodis, P., Achimastou, A., Denaxa, M., Roalfe, G., Sesay, A. K., Walker, M. C., & Pachnis, V. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs159 · Cited by 62
Total Number and Ratio of GABAergic Neuron Types in the Mouse Lateral and Basal Amygdala
Vereczki, V., Müller, K., Krizsán, É., Máté, Z., Fekete, Z., Rovira-Esteban, L., Veres, J. M., Erdélyi, F., & Hájos, N. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2700-20.2021 · Cited by 65
Diversity of GABAergic Interneurons in Layer VIa and VIb of Mouse Barrel Cortex
Perrenoud, Q., Rossier, J., Geoffroy, H., Vitalis, T., & Gallopin, T. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs032 · Cited by 66
The GABAA Receptor β Subunit Is Required for Inhibitory Transmission
Nguyen, Q.-A., & Nicoll, R. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.046 · Cited by 60
Fontes‐Dutra, M., Santos‐Terra, J., Deckmann, I., Schwingel, G. B., Nunes, G. D., Hirsch, M. M., Bauer‐Negrini, G., Riesgo, R. D. S., Bambini-Júnior, V., Hedin‐Pereira, C., et al. (2018) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2018.00009 · Cited by 61
Broadening of Cortical Inhibition Mediates Developmental Sharpening of Orientation Selectivity
Li, Y.-T., Ma, W., Pan, C.-J., Zhang, L. I., & Tao, H. W. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5514-11.2012 · Cited by 61
Development of Layer 1 Neurons in the Mouse Neocortex
Ma, J., Yao, X.-H., Fu, Y., & Yu, Y. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht114 · Cited by 62
Transgenic labeling of parvalbumin-expressing neurons with tdTomato
Kaiser, T., Ting, J. T., Monteiro, P., & Feng, G. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.08.036 · Cited by 55
Adrenergic Gating of Hebbian Spike-Timing-Dependent Plasticity in Cortical Interneurons
Huang, S., Huganir, R. L., & Kirkwood, A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5741-12.2013 · Cited by 60
Function of inhibition in visual cortical processing
Alitto, H. J., & Dan, Y. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.012 · Cited by 57
Zariwala, H. A., Madisen, L., Ahrens, K. F., Bernard, A., Lein, E. S., Jones, A. R., & Zeng, H. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00162 · Cited by 56
Sohn, J., Takahashi, M., Okamoto, S., Ishida, Y., Furuta, T., & Hioki, H. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169611 · Cited by 55
Oligodendrocytes as Regulators of Neuronal Networks during Early Postnatal Development
Doretto, S., Malerba, M., Ramos, M., Ikrar, T., Kinoshita, C., Mei, C. D., Tirotta, E., Xu, X., & Borrelli, E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019849 · Cited by 54
Self-citationOpposed hemodynamic responses following increased excitation and parvalbumin-based inhibition
Lee, J., Stile, C. L., Bice, A. R., Rosenthal, Z. P., Yan, P., Snyder, A. Z., Lee, J., & Bauer, A. Q. (2020) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20930831 · Cited by 51
Cortical Interneuron Subtypes Vary in Their Axonal Action Potential Properties
Casale, A. E., Foust, A. J., Bal, T., & McCormick, D. A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1467-13.2015 · Cited by 53
Zhou, X., Rickmann, M., Hafner, G., & Staiger, J. F. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx220 · Cited by 53
Wester, J. C., & McBain, C. J. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.07.007 · Cited by 50
Cortical Control of Spatial Resolution by VIP+Interneurons
Ayzenshtat, I., Karnani, M. M., Jackson, J., & Yuste, R. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.1920-16.2016 · Cited by 50
Bunce, J. G., Zikopoulos, B., Feinberg, M. D., & Barbas, H. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23413 · Cited by 46
Single-cell transcriptomic classification of rabies-infected cortical neurons
Patiño, M., Lagos, W. N., Patne, N. S., Tasic, B., Zeng, H., & Callaway, E. M. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2203677119 · Cited by 40
Self-citationFunctional Synergy between Cholecystokinin Receptors CCKAR and CCKBR in Mammalian Brain Development
Nishimura, S., Bilgüvar, K., Ishigame, K., Šestan, N., Günel, M., & Louvi, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124295 · Cited by 47
Wang, X., Pinto-Duarte, A., Sejnowski, T. J., & Behrens, M. M. (2013) · Antioxidants & Redox Signaling · doi:10.1089/ars.2012.4907 · Cited by 46
Accelerated Hyper-Maturation of Parvalbumin Circuits in the Absence of MeCP2
Patrizi, A., Awad, P. N., Chattopadhyaya, B., Li, C., Di Cristo, G., & Fagiolini, M. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz085 · Cited by 46
Katsuki, F., Gerashchenko, D., & Brown, R. E. (2022) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2022.07.002 · Cited by 50
Zhang, M., Eichhorn, S. W., Zingg, B., Yao, Z., Zeng, H., Dong, H., & Zhuang, X. (2020) · doi:10.1101/2020.06.04.105700 · Cited by 44
Apicella, A. J., & Marchionni, I. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.811484 · Cited by 45
Tyson, J. A., Goldberg, E. M., Maroof, A. M., Xu, Q., Petros, T. J., & Anderson, S. A. (2015) · Development · doi:10.1242/dev.111526 · Cited by 48
Warthen, D. M., Lambeth, P. S., Ottolini, M., Shi, Y., Barker, B. S., Gaykema, R. P. A., Newmyer, B. A., Joy-Gaba, J., Ohmura, Y., Perez‐Reyes, E., et al. (2016) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2016.00063 · Cited by 41
Parvalbumin fast‐spiking interneurons are selectively altered by paediatric traumatic brain injury
Nichols, J., Bjorklund, G. R., Newbern, J. M., & Anderson, T. R. (2018) · The Journal of Physiology · doi:10.1113/jp275393 · Cited by 40
Genetic mapping of ASIC 4 and contrasting phenotype to ASIC 1a in modulating innate fear and anxiety
Lin, S.-H., Chien, Y., Chiang, W.-W., Liu, Y., Lien, C., & Chen, C. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12905 · Cited by 44
Subgroups of parvalbumin-expressing interneurons in layers 2/3 of the visual cortex
Helm, J. S., Akgül, G., & Wollmuth, L. P. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00782.2012 · Cited by 45
Wang, Y., Zan, G., Xu, C., Li, X., Shu, X., Yao, S.-Y., Xu, X.-S., Qiu, X., Chen, Y., Jin, K., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-43636-x · Cited by 46
Self-citationHearing in noisy environments: noise invariance and contrast gain control
Willmore, B. D. B., Cooke, J. E., & King, A. J. (2014) · The Journal of Physiology · doi:10.1113/jphysiol.2014.274886 · Cited by 42
Impaired Processing in the Primary Auditory Cortex of an Animal Model of Autism
Anomal, R. F., de Villers‐Sidani, E., Brandão, J. A., Diniz, R. M. B., Costa, M. R., & Romcy-Pereira, R. N. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00158 · Cited by 46
Brain oscillations: ideal scenery to understand the neurovascular coupling
Riera, J. J., & Sumiyoshi, A. (2010) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32833b769f · Cited by 43
Simonet, J. C., Sunnen, C. N., Wu, J., Golden, J. A., & Marsh, E. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu090 · Cited by 37
Local and Long-Range Circuit Connections to Hilar Mossy Cells in the Dentate Gyrus
Sun, Y., Grieco, S. F., Holmes, T. C., & Xu, X. (2017) · eNeuro · doi:10.1523/eneuro.0097-17.2017 · Cited by 40
Self-citationPhysical positioning markedly enhances brain transduction after intrathecal AAV9 infusion
Castle, M. J., Cheng, Y., Asokan, A., & Tuszynski, M. H. (2018) · Science Advances · doi:10.1126/sciadv.aau9859 · Cited by 41
Yetman, M. J., Washburn, E. K., Hyun, J. H., Osakada, F., Hayano, Y., Zeng, H., Callaway, E. M., Kwon, H., & Taniguchi, H. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0322-y · Cited by 39
Self-citationPanthi, S., & Leitch, B. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104610 · Cited by 41
Brennaman, L. H., Zhang, X., Guan, H., Triplett, J. W., Brown, A. M., Demyanenko, G. P., Manis, P. B., Landmesser, L. T., & Maness, P. F. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr392 · Cited by 42
Layer 5 Callosal Parvalbumin-Expressing Neurons: A Distinct Functional Group of GABAergic Neurons
Zurita, H., Feyen, P., & Apicella, A. J. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00053 · Cited by 42
Kirkcaldie, M. (2011) · Elsevier eBooks · doi:10.1016/b978-0-12-369497-3.10004-4 · Cited by 45
Mòdol, L., Sousa, V. H., Malvache, A., Tressard, T., Baude, A., & Cossart, R. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx198 · Cited by 39
NPY+-, but not PV+-GABAergic neurons mediated long-range inhibition from infra- to prelimbic cortex
Saffari, R., Teng, Z., Zhang, M., Kravchenko, M., Hohoff, C., Ambrée, O., & Zhang, W. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.7 · Cited by 39
Vitalis, T., & Rossier, J. (2010) · Developmental Neurobiology · doi:10.1002/dneu.20810 · Cited by 44
Haidar, M., Guèvremont, G., Zhang, C., Bathgate, R. A. D., Timofeeva, E., Smith, C. M., & Gundlach, A. L. (2017) · Hippocampus · doi:10.1002/hipo.22709 · Cited by 38
Distinct Roles of SOM and VIP Interneurons during Cortical Up States
Neske, G. T., & Connors, B. W. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00052 · Cited by 39
Pathway mechanism for excitatory and inhibitory control in working memory
Barbas, H., Wang, J., Joyce, M. K. P., & García‐Cabezas, M. Á. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00936.2017 · Cited by 38
Cell-class-specific electric field entrainment of neural activity
Lee, S. Y., Kozalakis, K., Baftizadeh, F., Campagnola, L., Jarsky, T., Koch, C., & Anastassiou, C. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.05.009 · Cited by 46
Evolutionary convergence of sensory circuits in the pallium of amniotes
Rueda-Alaña, E., Senovilla-Ganzo, R., Grillo, M., Vázquez, E., Salas, S. M., Gallego‐Flores, T., Ordeñana-Manso, A., Ftara, A., Escobar, L., Benguría, A., et al. (2025) · Science · doi:10.1126/science.adp3411 · Cited by 39
Almási, Z., Dávid, C., Witte, M., & Staiger, J. F. (2019) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2019.00045 · Cited by 38
Sohn, J., Hioki, H., Okamoto, S., & Kaneko, T. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23477 · Cited by 37
Vahaba, D. M., & Remage‐Healey, L. (2018) · Hormones and Behavior · doi:10.1016/j.yhbeh.2018.03.007 · Cited by 37
Modulation of behavioral networks by selective interneuronal inactivation
Schmidt, M. J., Horváth, S., Ebert, P. J., Norris, J. L., Seeley, E. H., Brown, J. A., Gellért, L., Everheart, M., Garbett, K. A., Grice, T. W., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.167 · Cited by 34
Long-Range GABAergic Projections of Cortical Origin in Brain Function
Urrutia-Piñones, J., Morales-Moraga, C., Sanguinetti, N. K., Escobar, A. P., & Chiu, C. Q. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.841869 · Cited by 36
A method to estimate the cellular composition of the mouse brain from heterogeneous datasets
Rodarie, D., Verasztó, C., Roussel, Y., Reimann, M., Keller, D. X., Ramaswamy, S., Markram, H., & Gewaltig, M.-O. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010739 · Cited by 37
Gaykema, R. P. A., Nguyen, X.-M. T., Boehret, J. M., Lambeth, P. S., Joy-Gaba, J., Warthen, D. M., & Scott, M. M. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00060 · Cited by 36
A Transgenic Mouse Line Expressing the Red Fluorescent Protein tdTomato in GABAergic Neurons
Besser, S., Sicker, M., Marx, G., Winkler, U., Eulenburg, V., Hülsmann, S., & Hirrlinger, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129934 · Cited by 36
Sohn, J., Okamoto, S., Kataoka, N., Kaneko, T., Nakamura, K., & Hioki, H. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00124 · Cited by 34
Kooijmans, R. N., Sierhuis, W., Self, M. W., & Roelfsema, P. R. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa068 · Cited by 31
Origins of neocortical interneurons in mice
Welagen, J., & Anderson, S. A. (2010) · Developmental Neurobiology · doi:10.1002/dneu.20857 · Cited by 38
Calva, C. B., Fayyaz, H., & Fadel, J. R. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14279 · Cited by 33
Regulation of Synapse Development byVgatDeletion from ErbB4-Positive Interneurons
Lin, T. W., Tan, Z., Barik, A., Yin, D., Brudvik, E., Wang, H., Xiong, W., & Mei, L. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0669-17.2018 · Cited by 37
Lee, M. L., Mueller, A. L., & Moore, T. (2020) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2020.574130 · Cited by 32
Miao, Q., Yao, L., Rasch, M. J., Ye, Q., Li, X., & Zhang, X. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.07.013 · Cited by 34
Prenatal one-carbon metabolism dysregulation programs schizophrenia-like deficits
Alachkar, A., Wang, L., Yoshimura, R. F., Hamzeh, A. R., Wang, Z., Sanathara, N. M., Lee, S. M., Xu, X., Abbott, G. W., & Civelli, O. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.164 · Cited by 34
Self-citationGenetically Defined Subtypes of Somatostatin-Containing Cortical Interneurons
Hostetler, R. E., Hu, H., & Agmon, A. (2023) · eNeuro · doi:10.1523/eneuro.0204-23.2023 · Cited by 31
Choi, J., Young, J. A. T., & Callaway, E. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006233107 · Cited by 31
Self-citationCoordination of dendritic inhibition through local disinhibitory circuits
Francavilla, R., Luo, X., Magnin, E., Tyan, L., & Topolnik, L. (2015) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2015.00005 · Cited by 31
Bohannon, A. S., & Hablitz, J. J. (2017) · The Journal of Physiology · doi:10.1113/jp275317 · Cited by 33
Metadata
- Authors
- Xu, X., Roby, K. D., & Callaway, E. M.
- Affiliations
- Salk Institute for Biological Studies (US)
- Corresponding author
- Callaway, Edward M.
- Venue
- Journal of Comparative Neurology
- Publisher
- Wiley
- Published
- 2009-11-30
- Volume
- 518
- Issue
- 3
- Pages
- 389-404
- ISSN
- 0021-9967 (ISSN-L)
- 1096-9861
- PMC
- PMC2804902
- OpenAlex
- W2066101989
- Cited by
- 429
- References
- 23
- Citations by year
- 2026: 10 · 2025: 25 · 2024: 18 · 2023: 15 · 2022: 30 · 2021: 23 · 2020: 39 · 2019: 29 · 2018: 32 · 2017: 32 · 2016: 32 · 2015: 31 · 2014: 27 · 2013: 29 · 2012: 23
- FWCI
- 7.77
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Journal of Comparative Neurology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (MH063912, R01MH063912)
- National Institute on Drug Abuse (R00DA023700, K99DA023700, DA023700)
- National Eye Institute (EY-010742, R01EY010742)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuropeptides and Animal Physiology
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- GABAergic interneurons, parvalbumin, somatostatin, vasoactive intestinal peptide, neuropeptide tyrosine, calretinin, cholecystokinin, neuropeptide co-localization, mouse cortex, interneuron subpopulations
- MeSH terms
- Animals, Brain Chemistry, Cerebral Cortex, gamma-Aminobutyric Acid, Glutamate Decarboxylase, Immunohistochemistry, Interneurons, Mice, Inbred C57BL, Mice, Transgenic, Neural Inhibition, Synaptic Transmission, Neuropeptide Y, Neuropeptides, Parvalbumins, Phenotype, Recombinant Fusion Proteins, Somatostatin, Vasoactive Intestinal Peptide, Biomarkers, Green Fluorescent Proteins, Mice, S100 Calcium Binding Protein G, Calbindin 2
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review