The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
New insights into the classification and nomenclature of cortical GABAergic interneurons
Open accessAbstract
A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Chandelier INs, also known as axo-axonic neurons, are the most recognizable INs in terms of morphology (DeFelipe et al., 2013) due to the unique candlestick-like synaptic terminal arrays they form to specifically target the axon initial segment of pyramidal cells.”
From GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits (2016) · cites this paper as DeFelipe et al., 2013
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A century after Ramon y Cajal described ‘short axon cells’, rigorous, quantitative and scalable analysis of interneuron morphology remains difficult11.”
From The diversity of GABAergic neurons and neural communication elements (2019) · cites this paper as [11]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“an attempt to produce a systematic classification of neocortical INs based on morphological features alone by a large number of investigators showed that there are too many ambiguities for “experts” to agree on the identity of most IN subtypes when strictly relying on morphological data”
From GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits (2016) · cites this paper as DeFelipe et al., 2013
In the citing paper
“the definition of a cell type in the brain remains controversial20,21”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [21]
In the citing paper
“the field has not readily converged on a consensus number, or even definition, of neuronal cell types”
From Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells (2020) · cites this paper as DeFelipe et al., 2013
In the citing paper
“Using whole-cell recordings with morphological recovery, we identified one major excitatory and seven inhibitory types of neurons in L4 of adult mouse visual cortex (V1).”
From Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas (2019) · cites this paper as [41]
In the citing paper
“Consequently, the issue of interneuron diversity remains contentious11.”
From The diversity of GABAergic neurons and neural communication elements (2019) · cites this paper as [11]
In the citing paper
“Similarly, morphological variations between neurons of the same class may seem continuous and intractable11 but may belie the more specific and discrete connectivity patterns between certain presynaptic and postsynaptic elements56,67.”
From The diversity of GABAergic neurons and neural communication elements (2019) · cites this paper as [11]
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
Seel, N. M. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_5195 · Cited by 19,482
Statistical pattern recognition: a review
Jain, A. K., Duin, P., & Mao, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.824819 · Cited by 6,898
Abe, S. (2001) · Springer eBooks · doi:10.1007/978-1-4471-0285-4 · Cited by 3,758
Probabilistic Reasoning in Intelligent Systems
(1988) · Elsevier eBooks · doi:10.1016/c2009-0-27609-4 · Cited by 3,371
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
Raykar, V. C., Yu, S., Zhao, L. H., Valadez, G. H., Florin, C., Bogoni, L., & Moy, L. P. (2010) · Journal of Machine Learning Research · doi:10.5555/1756006.1859894 · Cited by 1,209
(2006) · doi:10.1093/acprof:oso/9780195100273.001.0001 · Cited by 1,186
Microstructure of the neocortex: comparative aspects
DeFelipe, J., Alonso-Nanclares, L., & Arellano, J. I. (2002) · Journal of Neurocytology · doi:10.1023/a:1024130211265 · Cited by 686
Self-citationNeuroMorpho.Org: A Central Resource for Neuronal Morphologies
Ascoli, G. A., Donohue, D. E., & Halavi, M. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2055-07.2007 · Cited by 664
Self-citationPerceptual Neuroscience: The Cerebral Cortex
Mountcastle, V. B. (1998) · Cited by 476
Research works printed but not linked: 5
- Jackson, J. H. On classification and on methods of investigation (1874) in Selected Writings (ed. Taylor, E., Hodder and Stoughton, 1931).
- von Kölliker, A. Handbuch der Gewebelehre des Menschen. (Engelmann, 1852) (in German).
- Berlin, R. Beitrag zur Strukturlehre der Grosshirnwindungen (Junge, 1858) (in German).
- Golgi, C. Sulla struttura della sostanza grigia del cervello (Comunicazione preventiva). Gazz. Med. Ital. Lombardia 33, 244–246 (1873) (in Italian).
- Cajal, S. R. Nuevo concepto de la histología de los centros nerviosos. Revista de Ciencias Médicas de Barcelona 18, 361–376 (1892); English translation available in DeFelipe, J. & Jones, E. G. Cajal on the Cerebral Cortex (Oxford Univ. Press, 1988).
Cited by
Sorted by citations
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Zeisel, A., Muñoz-Manchado, A. B., Codeluppi, S., Lönnerberg, P., La Manno, G., Juréus, A., Marques, S., Munguba, H., He, L., Betsholtz, C., et al. (2015) · Science · doi:10.1126/science.aaa1934 · Cited by 3,124
GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits
Tremblay, R., Lee, S., & Rudy, B. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.033 · Cited by 2,033
Self-citationAdult mouse cortical cell taxonomy revealed by single cell transcriptomics
Tasic, B., Menon, V., Nguyen, T. N., Kim, T. K., Jarsky, T., Yao, Z., Levi, B., Gray, L. T., Sorensen, S. A., Dolbeare, T., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4216 · Cited by 1,714
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 1,557
Self-citationPfeffer, C. K., Xue, M., He, M., Huang, Z. J., & Scanziani, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3446 · Cited by 1,353
Self-citationThe neocortical circuit: themes and variations
Harris, K. D., & Shepherd, G. M. G. (2015) · Nature Neuroscience · doi:10.1038/nn.3917 · Cited by 1,215
Self-citationFast-spiking, parvalbumin + GABAergic interneurons: From cellular design to microcircuit function
Hu, H., Gan, J., & Jonas, P. (2014) · Science · doi:10.1126/science.1255263 · Cited by 1,197
Duman, R. S., Sanacora, G., & Krystal, J. H. (2019) · Neuron · doi:10.1016/j.neuron.2019.03.013 · Cited by 1,026
Principles of connectivity among morphologically defined cell types in adult neocortex
Jiang, X., Shen, S., Cadwell, C. R., Berens, P., Sinz, F., Ecker, A. S., Patel, S., & Tolias, A. S. (2015) · Science · doi:10.1126/science.aac9462 · Cited by 908
Hippocampal GABAergic Inhibitory Interneurons
Pelkey, K. A., Chittajallu, R., Craig, M. T., Tricoire, L., Wester, J. C., & McBain, C. J. (2017) · Physiological Reviews · doi:10.1152/physrev.00007.2017 · Cited by 889
Self-citationMolecular logic of neocortical projection neuron specification, development and diversity
Greig, L. C., Woodworth, M. B., Galazo, M. J., Padmanabhan, H., & Macklis, J. D. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3586 · Cited by 863
Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain
Mo, A., Mukamel, E. A., Davis, F. P., Luo, C., Henry, G. L., Picard, S., Urich, M. A., Nery, J. R., Sejnowski, T. J., Lister, R., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.018 · Cited by 739
Development and Functional Diversification of Cortical Interneurons
Lim, L., Mi, D., Llorca, A., & Marín, O. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.009 · Cited by 714
“For example, Nkx6-2+ progenitor cells produce several types of SST+ neurons along with some PV+ basket cells and chandelier cells, and a mixed progeny of interneurons from the SST+ and PV+ classes has also been described for Etv1+ progenitor cells (He et al., 2016).”
InfluentialMechanisms of epileptogenesis: a convergence on neural circuit dysfunction
Goldberg, E. M., & Coulter, D. A. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3482 · Cited by 542
Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells
Gouwens, N. W., Sorensen, S. A., Baftizadeh, F., Budzillo, A., Lee, B. R., Jarsky, T., Alfiler, L., Baker, K., Barkan, E., Berry, K., et al. (2020) · Cell · doi:10.1016/j.cell.2020.09.057 · Cited by 538
“example, in the Sst subclass, the Sst Calb2 Pdlim5 type had a L1-dominant (Martinotti-type) axon (DeFelipe et al., 2013), while Sst Tac1 Htr1d had a L2/3-dominant axon, Sst Hpse Cbln4 had a L4-dominant axon, and Sst Rxfp1 Prdm8 had a L5/L6-dominant axon.”
Architectonic Mapping of the Human Brain beyond Brodmann
Amunts, K., & Zilles, K. (2015) · Neuron · doi:10.1016/j.neuron.2015.12.001 · Cited by 559
Gao, R., & Penzes, P. (2015) · Current Molecular Medicine · doi:10.2174/1566524015666150303003028 · Cited by 516
“For a more comprehensive review on interneuron classification and function, we would like to direct the reader to pertinent articles [27, 34].”
BackgroundAlterations in Cortical Network Oscillations and Parvalbumin Neurons in Schizophrenia
Gonzalez-Burgos, G., Cho, R. Y., & Lewis, D. A. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.03.010 · Cited by 497
Self-citationThe Central Amygdala as an Integrative Hub for Anxiety and Alcohol Use Disorders
Gilpin, N. W., Herman, M. A., & Roberto, M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.09.008 · Cited by 457
Classification of electrophysiological and morphological neuron types in the mouse visual cortex
Gouwens, N. W., Sorensen, S. A., Berg, J., Lee, C., Jarsky, T., Ting, J., Sunkin, S. M., Feng, D., Anastassiou, C. A., Barkan, E., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0417-0 · Cited by 456
Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders
Parikshak, N. N., Gandal, M. J., & Geschwind, D. H. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3934 · Cited by 430
Transcriptional Architecture of Synaptic Communication Delineates GABAergic Neuron Identity
Paul, A., Crow, M., Raudales, R., He, M., Gillis, J., & Huang, Z. J. (2017) · Cell · doi:10.1016/j.cell.2017.08.032 · Cited by 421
General Cortical and Special Prefrontal Connections: Principles from Structure to Function
Barbas, H. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-033936 · Cited by 408
Cortical GABAergic Dysfunction in Stress and Depression: New Insights for Therapeutic Interventions
Fogaça, M. V., & Duman, R. S. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00087 · Cited by 396
Buzsáki, G. (2019) · doi:10.1093/oso/9780190905385.001.0001 · Cited by 383
Targeting neurons and photons for optogenetics
Packer, A. M., Roska, B., & Häusser, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3427 · Cited by 359
GABA interneurons are the cellular trigger for ketamine's rapid antidepressant actions
Gerhard, D. M., Pothula, S., Liu, R.-J., Wu, M., Li, X.-Y., Girgenti, M. J., Taylor, S. R., Duman, C. H., Delpire, E., Picciotto, M., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci130808 · Cited by 345
Strategies and Tools for Combinatorial Targeting of GABAergic Neurons in Mouse Cerebral Cortex
He, M., Tucciarone, J., Lee, S., Nigro, M. J., Kim, Y., Levine, J. M., Kelly, S. M., Krugikov, I., Wu, P., Chen, Y., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.021 · Cited by 339
Self-citationHashemi, E., Ariza, J., Rogers, H., Noctor, S. C., & Martínez-Cerdeño, V. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw021 · Cited by 322
Transcriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type
Boldog, E., Bakken, T. E., Hodge, R. D., Novotny, M., Aevermann, B. D., Baka, J., Bordé, S., Close, J. L., Diez-Fuertes, F., Ding, S.-L., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0205-2 · Cited by 291
Self-citationGenetic and activity-dependent mechanisms underlying interneuron diversity
Wamsley, B., & Fishell, G. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.30 · Cited by 290
Self-citationNeural Subtype Specification from Human Pluripotent Stem Cells
Tao, Y., & Zhang, S.-C. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.10.015 · Cited by 287
Alterations in cortical interneurons and cognitive function in schizophrenia
Dienel, S. J., & Lewis, D. A. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.06.020 · Cited by 281
Self-citationCellular anatomy of the mouse primary motor cortex
Muñoz-Castañeda, R., Zingg, B., Matho, K. S., Chen, X., Wang, Q., Foster, N. N., Li, A., Narasimhan, A., Hirokawa, K. E., Huo, B., et al. (2021) · Nature · doi:10.1038/s41586-021-03970-w · Cited by 265
Self-citationTai, C., Abe, Y., Westenbroek, R. E., Scheuer, T., & Catterall, W. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1411131111 · Cited by 271
Ecker, J. R., Geschwind, D. H., Kriegstein, A. R., Ngai, J., Osten, P., Polioudakis, D., Regev, A., Šestan, N., Wickersham, I. R., & Zeng, H. (2017) · Neuron · doi:10.1016/j.neuron.2017.10.007 · Cited by 258
Mapping brain circuitry with a light microscope
Osten, P., & Margrie, T. W. (2013) · Nature Methods · doi:10.1038/nmeth.2477 · Cited by 249
Neurodevelopment, GABA System Dysfunction, and Schizophrenia
Schmidt, M. J., & Mirnics, K. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.95 · Cited by 243
Thalamic Inhibition: Diverse Sources, Diverse Scales
Halassa, M. M., & Acsády, L. (2016) · Trends in Neurosciences · doi:10.1016/j.tins.2016.08.001 · Cited by 243
BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images
Peng, H., Hawrylycz, M., Roskams, J., Hill, S., Spruston, N., Meijering, E. H. W., & Ascoli, G. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.036 · Cited by 230
Self-citationTasks for inhibitory interneurons in intact brain circuits
Roux, L., & Buzsáki, G. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.09.011 · Cited by 218
Inhibitory control of the excitatory/inhibitory balance in psychiatric disorders
Selten, M. M., van Bokhoven, H., & Kasri, N. N. (2018) · F1000Research · doi:10.12688/f1000research.12155.1 · Cited by 221
Inhibitory and Excitatory Spike-Timing-Dependent Plasticity in the Auditory Cortex
D’amour, J. A., & Froemke, R. C. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.014 · Cited by 210
Optogenetic dissection of medial prefrontal cortex circuitry
Riga, D., Matos, M. R., Glas, A., Smit, A. B., Spijker, S., & Van den Oever, M. C. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00230 · Cited by 208
Prönneke, A., Scheuer, B., Wagener, R. J., Möck, M., Witte, M., & Staiger, J. F. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv202 · Cited by 204
Self-citationGABAergic Inhibitory Interneuron Deficits in Alzheimer’s Disease: Implications for Treatment
Xu, Y., Zhao, M., Han, Y., & Zhang, H. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00660 · Cited by 203
The diversity of GABAergic neurons and neural communication elements
Huang, Z. J., & Paul, A. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0195-4 · Cited by 201
Distinct Roles of Parvalbumin- and Somatostatin-Expressing Interneurons in Working Memory
Kim, D., Jeong, H., Lee, J., Ghim, J.-W., Her, E. S., Lee, S.-H., & Jung, M. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.023 · Cited by 201
Xing, B., Li, Y.-C., & Gao, W.-J. (2016) · Brain Research · doi:10.1016/j.brainres.2016.01.005 · Cited by 196
Baker, A. L., Kalmbach, B. E., Morishima, M., Kim, J., Juavinett, A., Li, N., & Dembrow, N. C. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0150-18.2018 · Cited by 205
Interneuron Types as Attractors and Controllers
Fishell, G., & Kepecs, Á. (2019) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070918-050421 · Cited by 212
Self-citationThe Astrocyte: Powerhouse and Recycling Center
Weber, B., & Barros, L. F. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a020396 · Cited by 195
Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas
Scala, F., Kobak, D., Shan, S., Bernaerts, Y., Laturnus, S., Cadwell, C. R., Hartmanis, L., Froudarakis, E., Castro, J. R., Tan, Z. H., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12058-z · Cited by 193
A Topological Representation of Branching Neuronal Morphologies
Kanari, L., Dłotko, P., Scolamiero, M., Levi, R., Shillcock, J. C., Hess, K. P., & Markram, H. (2017) · Neuroinformatics · doi:10.1007/s12021-017-9341-1 · Cited by 179
Self-citationPham, T. H., & Gardier, A. M. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.02.017 · Cited by 186
Integration of GABAergic interneurons into cortical cell assemblies: lessons from embryos and adults
Bartolini, G., Ciceri, G., & Marín, O. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.014 · Cited by 185
The Diversity of Cortical Inhibitory Synapses
Kubota, Y., Karube, F., Nomura, M., & Kawaguchi, Y. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00027 · Cited by 180
Self-citationSomatostatin, neuronal vulnerability and behavioral emotionality
Lin, L., & Sibille, E. L. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.184 · Cited by 188
Untangling GABAergic wiring in the cortical microcircuit
Kubota, Y. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.10.003 · Cited by 172
Self-citationActivation of cortical somatostatin interneurons prevents the development of neuropathic pain
Cichon, J., Blanck, T. J. J., Gan, W., & Yang, G. (2017) · Nature Neuroscience · doi:10.1038/nn.4595 · Cited by 164
Portraits of communication in neuronal networks
Hahn, G., Ponce-Alvarez, A., Deco, G., Aertsen, A., & Kumar, A. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-018-0094-0 · Cited by 171
Excitotoxicity in ALS: Overstimulation, or overreaction?
King, A. E., Woodhouse, A., Kirkcaldie, M., & Vickers, J. C. (2015) · Experimental Neurology · doi:10.1016/j.expneurol.2015.09.019 · Cited by 183
Neuronal circuits in barrel cortex for whisker sensory perception
Staiger, J. F., & Petersen, C. C. H. (2021) · Physiological Reviews · doi:10.1152/physrev.00019.2019 · Cited by 165
Self-citationFavero, M., Sotuyo, N. P., Lopez, E., Kearney, J. A., & Goldberg, E. M. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0193-18.2018 · Cited by 163
Bardy, C., van den Hurk, M., Kakaradov, B., Erwin, J. A., Jaeger, B. N., Hernandez, R. V., Eames, T., Paucar, A. A., Gorris, M. A. J., Marchand, C., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.158 · Cited by 166
Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus
Wheeler, D. W., White, C. M., Rees, C. L., Komendantov, A. O., Hamilton, D. J., & Ascoli, G. A. (2015) · eLife · doi:10.7554/elife.09960 · Cited by 161
Self-citationNeurological Syndromes Associated with Anti-GAD Antibodies
Dade, M., Berzero, G., Izquierdo, C., Giry, M., Benazra, M., Delattre, J., Psimaras, D., & Alentorn, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21103701 · Cited by 158
Inhibition stabilization is a widespread property of cortical networks
Sanzeni, A., Akitake, B., Goldbach, H. C., Leedy, C. E., Brunel, N., & Histed, M. H. (2020) · eLife · doi:10.7554/elife.54875 · Cited by 159
Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
Smith, S. J., Sümbül, U., Graybuck, L. T., Collman, F., Seshamani, S., Gala, R., Gliko, O., Elabbady, L., Miller, J. A., Bakken, T. E., et al. (2019) · eLife · doi:10.7554/elife.47889 · Cited by 156
Self-citationAdult Olfactory Bulb NeurogenesisPreprint
Lledo, P., & Valley, M. T. (2016) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a018945 · Cited by 176
Bayesian networks in neuroscience: a survey
Bielza, C., & Larrañaga, P. (2014) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2014.00131 · Cited by 152
Self-citationPre-frontal parvalbumin interneurons in schizophrenia: a meta-analysis of post-mortem studies
Kaar, S. J., Angelescu, I., Marques, T. R., & Howes, O. D. (2019) · Journal of Neural Transmission · doi:10.1007/s00702-019-02080-2 · Cited by 159
Bloem, B., Poorthuis, R. B., & Mansvelder, H. D. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00017 · Cited by 163
Multiple Transmitter Receptors in Regions and Layers of the Human Cerebral Cortex
Zilles, K., & Palomero‐Gallagher, N. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00078 · Cited by 150
Molecular and Cellular Mechanisms of Rapid-Acting Antidepressants Ketamine and Scopolamine
Wohleb, E. S., Gerhard, D. M., Thomas, A., & Duman, R. S. (2016) · Current Neuropharmacology · doi:10.2174/1570159x14666160309114549 · Cited by 151
Big data and the industrialization of neuroscience: A safe roadmap for understanding the brain?
Frégnac, Y. (2017) · Science · doi:10.1126/science.aan8866 · Cited by 152
Integrative Mechanisms of Oriented Neuronal Migration in the Developing Brain
Evsyukova, I. Y., Plestant, C., & Anton, E. S. (2013) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-101512-122400 · Cited by 151
Schmidt, M., Bakker, R., Shen, K., Bezgin, G., Diesmann, M., & van Albada, S. J. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006359 · Cited by 157
Northoff, G., & Sibille, E. L. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.68 · Cited by 148
Hippocampal GABAergic interneurons and memory
Tzilivaki, A., Tukker, J. J., Maier, N., Poirazi, P., Sammons, R. P., & Schmitz, D. (2023) · Neuron · doi:10.1016/j.neuron.2023.06.016 · Cited by 154
Hamada, M., Galea, J. M., Lazzaro, V. D., Mazzone, P., Ziemann, U., & Rothwell, J. C. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1960-14.2014 · Cited by 140
Tyan, L., Chamberland, S., Magnin, E., Camiré, O., Francavilla, R., David, L. S., Deisseroth, K., & Topolnik, L. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3813-13.2014 · Cited by 140
Interneuron activity leads to initiation of low‐voltage fast‐onset seizures
Shiri, Z., Manseau, F., Lévesque, M., Williams, S., & Avoli, M. (2014) · Annals of Neurology · doi:10.1002/ana.24342 · Cited by 140
Somatostatin and Somatostatin-Containing Neurons in Shaping Neuronal Activity and Plasticity
Liguz‐Lecznar, M., Urban‐Ciećko, J., & Kossut, M. M. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00048 · Cited by 147
Inhibitory Interneurons and their Circuit Motifs in the Many Layers of the Barrel Cortex
Feldmeyer, D., Qi, G., Emmenegger, V., & Staiger, J. F. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.05.027 · Cited by 140
Self-citationMiyoshi, G., Young, A., Petros, T., Karayannis, T., McKenzie Chang, M., Lavado, A., Iwano, T., Nakajima, M., Taniguchi, H., Huang, Z. J., et al. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1164-15.2015 · Cited by 135
Self-citationCell-type-specific and projection-specific brain-wide reconstruction of single neurons
Lin, R., Wang, R., Yuan, J., Feng, Q., Zhou, Y., Zeng, S., Ren, M., Jiang, S., Ni, H., Zhou, C., et al. (2018) · Nature Methods · doi:10.1038/s41592-018-0184-y · Cited by 132
Laminar and Cellular Distribution of Monoamine Receptors in Rat Medial Prefrontal Cortex
Santana, N., & Artigas, F. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00087 · Cited by 135
Fogaça, M. V., Wu, M., Li, C., Li, X.-Y., Picciotto, M. R., & Duman, R. S. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00916-y · Cited by 129
Inhibitory Circuits in Cortical Layer 5
Naka, A., & Adesnik, H. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00035 · Cited by 143
Distinct Physiological Maturation of Parvalbumin-Positive Neuron Subtypes in Mouse Prefrontal Cortex
Miyamae, T., Chen, K., Lewis, D. A., & González‐Burgos, G. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3325-16.2017 · Cited by 133
Self-citationInhibitory circuits of the mammalian main olfactory bulb
Burton, S. D. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00109.2017 · Cited by 129
Cortical inhibitory interneurons control sensory processing
Wood, K. C., Blackwell, J. M., & Geffen, M. N. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.08.018 · Cited by 130
Genetic programs controlling cortical interneuron fate
Kessaris, N., Magno, L., Rubin, A. N., & Oliveira, M. G. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.12.012 · Cited by 130
Modeling Alzheimer's disease with human induced pluripotent stem (iPS) cells
Mungenast, A. E., Siegert, S., & Tsai, L. (2015) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2015.11.010 · Cited by 136
d-Serine and Serine Racemase are Localized to Neurons in the Adult Mouse and Human Forebrain
Balu, D. T., Takagi, S., Puhl, M. D., Benneyworth, M. A., & Coyle, J. T. (2014) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-014-0027-z · Cited by 126
Cortical Interneurons Differentially Shape Frequency Tuning following Adaptation
Natan, R. G., Rao, W., & Geffen, M. N. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.10.012 · Cited by 125
Target-Specific Effects of Somatostatin-Expressing Interneurons on Neocortical Visual Processing
Cottam, J. C. H., Smith, S. L., & Häusser, M. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2624-13.2013 · Cited by 129
Signature morphoelectric properties of diverse GABAergic interneurons in the human neocortex
Lee, B. R., Dalley, R., Miller, J. A., Chartrand, T., Close, J., Mann, R., Mukora, A., Ng, L., Alfiler, L., Baker, K., et al. (2023) · Science · doi:10.1126/science.adf6484 · Cited by 125
Self-citationToward a Genetic Dissection of Cortical Circuits in the Mouse
Huang, Z. J. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.041 · Cited by 123
Metadata
- Authors
- DeFelipe, J., López-Cruz, P. L., Benavides-Piccione, R., Bielza, C., Larrañaga, P., Anderson, S., Burkhalter, A., Cauli, B., Fairén, A., Feldmeyer, D., Fishell, G., Fitzpatrick, D., Freund, T. F., González-Burgos, G., Hestrin, S., Hill, S., Hof, P. R., Huang, J., Jones, E. G., Kawaguchi, Y., Kisvárday, Z., Kubota, Y., Lewis, D. A., Marín, O., Markram, H., McBain, C. J., Meyer, H. S., Monyer, H., Nelson, S. B., Rockland, K., Rossier, J., Rubenstein, J. L. R., Rudy, B., Scanziani, M., Shepherd, G. M., Sherwood, C. C., Staiger, J. F., Tamás, G., Thomson, A., Wang, Y., Yuste, R., & Ascoli, G. A.
- Affiliations
- Universidad Politécnica de Madrid (ES)
- Children's Hospital of Philadelphia (US)
- Washington University in St. Louis (US)
- Centre National de la Recherche Scientifique (FR)
- Instituto de Neurociencias (ES)
- Forschungszentrum Jülich (DE)
- NYU Langone Health (US)
- Max Planck Florida Institute for Neuroscience (US)
- HUN-REN Institute of Experimental Medicine (HU)
- Stanford Medicine (US)
- École Polytechnique Fédérale de Lausanne (CH)
- Icahn School of Medicine at Mount Sinai (US)
- National Institute for Physiological Sciences (JP)
- University of Debrecen (HU)
- University of Pittsburgh (US)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (US)
- Technical University of Munich (DE)
- German Cancer Research Center (DE)
- Brandeis University (US)
- Boston University (US)
- Inserm (FR)
- University of California, San Francisco (US)
- New York University (US)
- Howard Hughes Medical Institute (US)
- Yale University (US)
- George Washington University (US)
- University of Göttingen (DE)
- University of Szeged (HU)
- UCL School of Pharmacy (GB)
- Wenzhou Medical University (CN)
- George Mason University (US)
- Corresponding author
- DeFelipe, Javier
- Larrañaga, Pedro
- Ascoli, Giorgio A.
- ORCID
- DeFelipe, Javier
- Bielza, Concha
- Larrañaga, Pedro
- Anderson, Stewart
- Burkhalter, Andreas
- Cauli, Bruno
- Feldmeyer, Dirk
- Fishell, Gord
- Freund, Tamás F.
- Hill, Sean
- Hof, Patrick R.
- Jones, Edward G.
- Kawaguchi, Yasuo
- Kisvárday, Zoltán
- Kubota, Yoshiyuki
- Lewis, David A.
- Markram, Henry
- McBain, Chris J.
- Meyer, Hanno S.
- Monyer, Hannah
- Nelson, Sacha B.
- Rockland, Kathleen
- Rossier, Jean
- Rubenstein, John L. R.
- Rudy, Bernardo
- Scanziani, Massimo
- Shepherd, Gordon M.
- Sherwood, Chet C.
- Staiger, Jochen F.
- Tamás, Gábor
- Yuste, Rafael
- Ascoli, Giorgio A.
- Venue
- Nature Reviews Neuroscience
- Published
- 2013-02-06
- Volume
- 14
- Issue
- 3
- Pages
- 202-216
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC3619199
- OpenAlex
- W1995031373
- Cited by
- 833
- References
- 40
- Citations by year
- 2026: 23 · 2025: 44 · 2024: 48 · 2023: 57 · 2022: 62 · 2021: 56 · 2020: 72 · 2019: 71 · 2018: 63 · 2017: 72 · 2016: 67 · 2015: 86 · 2014: 79 · 2013: 33
- FWCI
- 8.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- JuSER (Forschungszentrum Jülich) (publishedVersion)
- Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
- HAL (submittedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- University of Debrecen Electronic Archive (University of Debrecen) (submittedVersion, other-oa)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion)
- Archivo Digital UPM (Universidad Politécnica de Madrid) (submittedVersion, cc-by-nc-nd)
- GRO (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Funders
- École Polytechnique Fédérale de Lausanne
- Ministerio de Economía y Competitividad (C04-04, TIN2010-20900-C04-04)
- National Institutes of Health (5r01ns030989-22)
- U.S. Public Health Service (R01-39600)
- Japan Society for the Promotion of Science (21240030)
- National Institute of Mental Health (R01MH043784)
- National Eye Institute (R01EY012114, R01EY011787)
- National Institute on Deafness and Other Communication Disorders (R01DC009977, P01DC004732)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK063720)
- National Institute of Neurological Disorders and Stroke (R01-NS030989, R01NS039600, R01NS075007)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- GABAergic interneurons, cortical interneurons, neuron classification, cerebral cortex, neuronal morphology, Bayesian analysis, clustering algorithms, supervised classification, community consensus, taxonomy
- MeSH terms
- Algorithms, Animals, Bayes Theorem, Cerebral Cortex, gamma-Aminobutyric Acid, Humans, Interneurons, Terminology as Topic, Cluster Analysis
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
