The DOI matches its Crossref record; 76 of the 77 references it cites were found in a registry or an index.
Dendritic and Axonal Architecture of Individual Pyramidal Neurons across Layers of Adult Human Neocortex
Open accessAbstract
The size and shape of dendrites and axons are strong determinants of neuronal information processing. Our knowledge on neuronal structure and function is primarily based on brains of laboratory animals. Whether it translates to human is not known since quantitative data on "full" human neuronal morphologies are lacking. Here, we obtained human brain tissue during resection surgery and reconstructed basal and apical dendrites and axons of individual neurons across all cortical layers in temporal cortex (Brodmann area 21). Importantly, morphologies did not correlate to etiology, disease severity, or disease duration. Next, we show that human L(ayer) 2 and L3 pyramidal neurons have 3-fold larger dendritic length and increased branch complexity with longer segments compared with temporal cortex neurons from macaque and mouse. Unsupervised cluster analysis classified 88% of human L2 and L3 neurons into human-specific clusters distinct from mouse and macaque neurons. Computational modeling of passive electrical properties to assess the functional impact of large dendrites indicates stronger signal attenuation of electrical inputs compared with mouse. We thus provide a quantitative analysis of "full" human neuron morphologies and present direct evidence that human neurons are not "scaled-up" versions of rodent or macaque neurons, but have unique structural and functional properties.
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
Figures








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
“Indeed there is evidence for significant neuronal differences between rodents and human; for example, distinct membrane8,9 and synaptic10–14 properties and dendritic complexity15–17 of human neurons might contribute to human specific signal processing.”
From Transcriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type (2018) · cites this paper as [17]
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
Multilevel analysis techniques and applications
Hox, J. J., Moerbeek, M., & van de Schoot, R. (2002) · Cited by 6,006
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
Hox, J., Moerbeek, M., & van de Schoot, R. (2010) · doi:10.4324/9780203852279 · Cited by 3,469
Thorndike, R. L. (1953) · Psychometrika · doi:10.1007/bf02289263 · Cited by 2,264
Pyramidal neurons: dendritic structure and synaptic integration
Spruston, N. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2286 · Cited by 1,688
Evolution of the neocortex: a perspective from developmental biology
Rakic, P. (2009) · Nature reviews. Neuroscience · doi:10.1038/nrn2719 · Cited by 1,565
Uniquely Hominid Features of Adult Human Astrocytes
Oberheim, N. A., Takano, T., Han, X., He, W., Lin, J. H. C., Wang, F., Xu, Q., Wyatt, J. D., Pilcher, W., Ojemann, J. G., et al. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4707-08.2009 · Cited by 1,488
Extraordinary neoteny of synaptic spines in the human prefrontal cortex
Petanjek, Z., Judaš, M., Šimić, G., Rašin, M. R., Uylings, H. B. M., Rakic, P., & Kostović, I. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105108108 · Cited by 1,411
Influence of dendritic structure on firing pattern in model neocortical neurons
Mainen, Z. F., & Sejnowski, T. J. (1996) · Nature · doi:10.1038/382363a0 · Cited by 1,231
The neocortical circuit: themes and variations
Harris, K. D., & Shepherd, G. M. G. (2015) · Nature Neuroscience · doi:10.1038/nn.3917 · Cited by 1,215
Cited by
Sorted by citations
Dendritic action potentials and computation in human layer 2/3 cortical neurons
Gidon, A., Zolnik, T. A., Fidzinski, P., Bolduan, F., Papoutsi, A., Poirazi, P., Holtkamp, M., Vida, I., & Larkum, M. E. (2020) · Science · doi:10.1126/science.aax6239 · Cited by 599
Enhanced Dendritic Compartmentalization in Human Cortical Neurons
Beaulieu-Laroche, L., Toloza, E. H. S., van der Goes, M.-S., Lafourcade, M., Barnagian, D., Williams, Z. M., Eskandar, E. N., Frosch, M. P., Cash, S. S., & Harnett, M. T. (2018) · Cell · doi:10.1016/j.cell.2018.08.045 · Cited by 296
Illuminating dendritic function with computational models
Poirazi, P., & Papoutsi, A. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-0301-7 · Cited by 313
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
Human neocortical expansion involves glutamatergic neuron diversification
Berg, J., Sorensen, S. A., Ting, J. T., Miller, J. A., Chartrand, T., Buchin, A., Bakken, T. E., Budzillo, A., Dee, N., Ding, S.-L., et al. (2021) · Nature · doi:10.1038/s41586-021-03813-8 · Cited by 285
Self-citationConnectomic comparison of mouse and human cortex
Loomba, S., Straehle, J., Gangadharan, V., Heike, N., Khalifa, A., Motta, A., Ju, N., Sievers, M., Gempt, J., Meyer, H. S., et al. (2022) · Science · doi:10.1126/science.abo0924 · Cited by 242
Human brain organogenesis: Toward a cellular understanding of development and disease
Kelley, K. W., & Pașca, S. P. (2021) · Cell · doi:10.1016/j.cell.2021.10.003 · Cited by 244
Cortical layers: Cyto-, myelo-, receptor- and synaptic architecture in human cortical areas
Palomero‐Gallagher, N., & Zilles, K. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.035 · Cited by 249
Kalmbach, B. E., Buchin, A., Long, B., Close, J., Nandi, A., Miller, J. A., Bakken, T. E., Hodge, R. D., Chong, P., de Frates, R., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.012 · Cited by 203
Functional connectomics spanning multiple areas of mouse visual cortex
The MICrONS Consortium, Bae, J. A., Baptiste, M., Bishop, C. A., Bodor, A. L., Brittain, D., Buchanan, J., Bumbarger, D. J., Castro, M. A., Celii, B., et al. (2021) · doi:10.1101/2021.07.28.454025 · Cited by 214
Unique membrane properties and enhanced signal processing in human neocortical neurons
Eyal, G., Verhoog, M. B., Testa-Silva, G., Deitcher, Y., Lodder, J. C., Benavides-Piccione, R., Morales, J., DeFelipe, J., de Kock, C. P., Mansvelder, H. D., et al. (2016) · eLife · doi:10.7554/elife.16553 · Cited by 196
Self-citationBiophysically realistic neuron models for simulation of cortical stimulation
Aberra, A. S., Peterchev, A. V., & Grill, W. M. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aadbb1 · Cited by 179
Developmental mechanisms underlying the evolution of human cortical circuits
Vanderhaeghen, P., & Polleux, F. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00675-z · Cited by 173
Human Cortical Pyramidal Neurons: From Spines to Spikes via Models
Eyal, G., Verhoog, M. B., Testa-Silva, G., Deitcher, Y., Benavides‐Piccione, R., DeFelipe, J., de Kock, C. P. J., Mansvelder, H. D., & Segev, I. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00181 · Cited by 158
Self-citationLarge and fast human pyramidal neurons associate with intelligence
Goriounova, N. A., Heyer, D. B., Wilbers, R., Verhoog, M. B., Giugliano, M., Verbist, C., Obermayer, J., Kerkhofs, A., Smeding, H. M. M., Verberne, M., et al. (2018) · eLife · doi:10.7554/elife.41714 · Cited by 165
Self-citationMansvelder, H. D., Verhoog, M. B., & Goriounova, N. A. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.06.013 · Cited by 170
Self-citationMultiple 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
Upper cortical layer–driven network impairment in schizophrenia
Batiuk, M. Y., Tyler, T., Dragičević, K., Mei, S., Rydbirk, R., Petukhov, V., Deviatiiarov, R. M., Sedmak, D., Frank, E., Feher, V., et al. (2022) · Science Advances · doi:10.1126/sciadv.abn8367 · Cited by 151
Area-Specific Features of Pyramidal Neurons—a Comparative Study in Mouse and Rhesus Monkey
Gilman, J. P., Medalla, M., & Luebke, J. I. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw062 · Cited by 140
Allometric rules for mammalian cortical layer 5 neuron biophysics
Beaulieu-Laroche, L., Brown, N. J., Hansen, M., Toloza, E. H. S., Sharma, J., Williams, Z. M., Frosch, M. P., Cosgrove, G. R., Cash, S. S., & Harnett, M. T. (2021) · Nature · doi:10.1038/s41586-021-04072-3 · Cited by 141
Genes, Cells and Brain Areas of Intelligence
Goriounova, N. A., & Mansvelder, H. D. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00044 · Cited by 148
Self-citationSlow Wave Sleep Is a Promising Intervention Target for Alzheimer’s Disease
Lee, Y. F., Gerashchenko, D., Timofeev, I., Bacskai, B. J., & Kastanenka, K. V. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00705 · Cited by 127
Evolution of cortical neurons supporting human cognition
Galakhova, A. A., Hunt, S., Wilbers, R., Heyer, D. B., de Kock, C. P. J., Mansvelder, H. D., & Goriounova, N. A. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.08.012 · Cited by 127
Self-citationDeitcher, Y., Eyal, G., Kanari, L., Verhoog, M. B., Kahou, G. A. A., Mansvelder, H. D., de Kock, C. P. J., & Segev, I. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx226 · Cited by 117
Self-citationDifferential Structure of Hippocampal CA1 Pyramidal Neurons in the Human and Mouse
Benavides‐Piccione, R., Regalado-Reyes, M., Fernaud-Espinosa, I., Kastanauskaite, A., Tapia‐González, S., León‐Espinosa, G., Rojo, C., Insausti, R., Segev, I., & DeFelipe, J. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz122 · Cited by 115
Self-citationSchwarz, N., Uysal, B., Welzer, M., Bahr, J. C., Layer, N., Löffler, H., Stanaitis, K., Ashraf, H. P., Weber, Y. G., Hedrich, U. B. S., et al. (2019) · eLife · doi:10.7554/elife.48417 · Cited by 120
Verschooten, E., Shamma, S., Oxenham, A. J., Moore, B. C. J., Joris, P. X., Heinz, M. G., & Plack, C. J. (2019) · Hearing Research · doi:10.1016/j.heares.2019.03.011 · Cited by 115
Molnár, G., Rózsa, M., Baka, J., Holderith, N., Barzó, P., Nusser, Z., & Tamás, G. (2016) · eLife · doi:10.7554/elife.18167 · Cited by 111
Chameh, H. M., Rich, S., Wang, L., Chen, F., Zhang, L., Carlen, P. L., Tripathy, S. J., & Valiante, T. A. (2021) · Nature Communications · doi:10.1038/s41467-021-22741-9 · Cited by 110
Kalmbach, B. E., Hodge, R. D., Jorstad, N. L., Owen, S. F., de Frates, R. A., Yanny, A. M., Dalley, R. A., Mallory, M., Graybuck, L. T., Radaelli, C., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.08.030 · Cited by 106
A perspective on cortical layering and layer-spanning neuronal elements
Larkum, M. E., Petro, L. S., Sachdev, R. N. S., & Muckli, L. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00056 · Cited by 102
Obermayer, J., Heistek, T. S., Kerkhofs, A., Goriounova, N. A., Kroon, T., Baayen, J. C., Idema, S., Testa-Silva, G., Couey, J. J., & Mansvelder, H. D. (2018) · Nature Communications · doi:10.1038/s41467-018-06628-w · Cited by 114
Self-citationObermayer, J., Verhoog, M. B., Luchicchi, A., & Mansvelder, H. D. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00100 · Cited by 106
Self-citationHodge, R. D., Miller, J. A., Novotny, M. A., Kalmbach, B. E., Ting, J. T., Bakken, T. E., Aevermann, B. D., Barkan, E. R., Berkowitz-Cerasano, M. L., Cobbs, C., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14952-3 · Cited by 95
Layer-specific cholinergic control of human and mouse cortical synaptic plasticity
Verhoog, M. B., Obermayer, J., Kortleven, C., Wilbers, R., Wester, J., Baayen, J. C., de Kock, C. P. J., Meredith, R. M., & Mansvelder, H. D. (2016) · Nature Communications · doi:10.1038/ncomms12826 · Cited by 104
Self-citationChartrand, T., Dalley, R., Close, J., Goriounova, N. A., Lee, B. R., Mann, R., Miller, J. A., Molnar, G., Mukora, A., Alfiler, L., et al. (2023) · Science · doi:10.1126/science.adf0805 · Cited by 88
Self-citationStrong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex
Hunt, S., Leibner, Y., Mertens, E. J., Barros-Zulaica, N., Kanari, L., Heistek, T. S., Karnani, M., Aardse, R., Wilbers, R., Heyer, D. B., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac246 · Cited by 84
Self-citationPyramidal Neurons Are Not Generalizable Building Blocks of Cortical Networks
Luebke, J. I. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00011 · Cited by 84
Spatio-temporal properties of sleep slow waves and implications for development
Timofeev, I., Schoch, S. F., LeBourgeois, M. K., Huber, R., Riedner, B. A., & Kurth, S. (2020) · Current Opinion in Physiology · doi:10.1016/j.cophys.2020.01.007 · Cited by 83
A human-specific modifier of cortical connectivity and circuit function
Schmidt, E. R. E., Zhao, H. T., Park, J. M., Dipoppa, M., Monsalve-Mercado, M. M., Dahan, J. B., Rodgers, C. C., Lejeune, A., Hillman, E. M. C., Miller, K. D., et al. (2021) · Nature · doi:10.1038/s41586-021-04039-4 · Cited by 82
Cellular and Molecular Mechanisms Linking Human Cortical Development and Evolution
Libé-Philippot, B., & Vanderhaeghen, P. (2021) · Annual Review of Genetics · doi:10.1146/annurev-genet-071719-020705 · Cited by 78
Accelerated evolution of oligodendrocytes in the human brain
Berto, S., Mendizabal, I., Usui, N., Toriumi, K., Chatterjee, P., Douglas, C., Tamminga, C. A., Preuss, T. M., Yi, S. V., & Konopka, G. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1907982116 · Cited by 78
Szegedi, V., Paizs, M., Csakvari, E., Molnar, G., Barzo, P., Tamas, G., & Lamsa, K. (2016) · PLOS Biology · doi:10.1371/journal.pbio.2000237 · Cited by 75
A Connectomic Hypothesis for the Hominization of the Brain
Changeux, J., Goulas, A., & Hilgetag, C. C. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa365 · Cited by 80
Ultrafast population coding and axo-somatic compartmentalization
Zhang, C., Hofmann, D., Neef, A., & Wolf, F. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009775 · Cited by 72
Tóth, K., Hofer, K. T., Kandrács, Á., Entz, L., Bagó, A. G., Erőss, L., Jordán, Z., Nagy, G., Sólyom, A., Fabó, D., et al. (2017) · The Journal of Physiology · doi:10.1113/jp275413 · Cited by 69
Travelling spindles create necessary conditions for spike-timing-dependent plasticity in humans
Dickey, C. W., Sargsyan, A., Madsen, J. R., Eskandar, E. N., Cash, S. S., & Halgren, E. (2021) · Nature Communications · doi:10.1038/s41467-021-21298-x · Cited by 70
A molecular and cellular perspective on human brain evolution and tempo
Lindhout, F. W., Krienen, F. M., Pollard, K. S., & Lancaster, M. A. (2024) · Nature · doi:10.1038/s41586-024-07521-x · Cited by 80
The cell-type underpinnings of the human functional cortical connectome
Zhang, X.-H., Anderson, K. M., Dong, H.-M., Chopra, S., Dhamala, E., Emani, P. S., Gerstein, M., Margulies, D. S., & Holmes, A. J. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01812-2 · Cited by 67
Organs to Cells and Cells to Organoids: The Evolution of in vitro Central Nervous System Modelling
Pacitti, D., Privolizzi, R., & Bax, B. E. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00129 · Cited by 66
Dynamic compartmental computations in tuft dendrites of layer 5 neurons during motor behavior
Otor, Y., Achvat, S., Cermak, N., Benisty, H., Abboud, M., Barak, O., Schiller, Y., Poleg-Polsky, A., & Schiller, J. (2022) · Science · doi:10.1126/science.abn1421 · Cited by 77
Beliaeva, V., Savvateev, I., Zerbi, V., & Polanía, R. (2021) · Nature Communications · doi:10.1038/s41467-021-22468-7 · Cited by 62
Biophysically grounded mean-field models of neural populations under electrical stimulation
Cakan, C., & Obermayer, K. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007822 · Cited by 61
Petanjek, Z., Sedmak, D., Džaja, D., Hladnik, A., Rašin, M. R., & Milošević, N. J. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00122 · Cited by 67
Invariant Synapse Density and Neuronal Connectivity Scaling in Primate Neocortical Evolution
Sherwood, C. C., Miller, S. B., Karl, M. T., Stimpson, C. D., Phillips, K. A., Jacobs, B., Hof, P. R., Raghanti, M. A., & Smaers, J. B. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa149 · Cited by 60
Reduced inhibition in depression impairs stimulus processing in human cortical microcircuits
Yao, H. K., Guet-McCreight, A., Mazza, F., Moradi Chameh, H., Prevot, T. D., Griffiths, J. D., Tripathy, S. J., Valiante, T. A., Sibille, E., & Hay, E. (2022) · Cell Reports · doi:10.1016/j.celrep.2021.110232 · Cited by 55
Yakoubi, R., Rollenhagen, A., von Lehe, M., Shao, Y., Sätzler, K., & Lübke, J. H. R. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy146 · Cited by 57
Heyer, D. B., Wilbers, R., Galakhova, A. A., Hartsema, E. A., Braak, S., Hunt, S., Verhoog, M. B., Muijtjens, M. L., Mertens, E. J., Idema, S., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab330 · Cited by 46
Self-citationYakoubi, R., Rollenhagen, A., von Lehe, M., Miller, D., Walkenfort, B., Hasenberg, M., Sätzler, K., & Lübke, J. H. R. (2019) · eLife · doi:10.7554/elife.48373 · Cited by 54
Comparative morphology of gigantopyramidal neurons in primary motor cortex across mammals
Jacobs, B., Garcia, M. E., Shea‐Shumsky, N. B., Tennison, M. E., Schall, M., Saviano, M. S., Tummino, T. A., Bull, A. J., Driscoll, L. L., Raghanti, M. A., et al. (2017) · The Journal of Comparative Neurology · doi:10.1002/cne.24349 · Cited by 51
Maturation of the Human Cerebral Cortex During Adolescence: Myelin or Dendritic Arbor?
Patel, Y., Shin, J., Gowland, P. A., Pausová, Z., & Paus, T. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy204 · Cited by 49
Microscale Physiological Events on the Human Cortical Surface
Paulk, A. C., Yang, J. C., Cleary, D. R., Soper, D. J., Halgren, M., O’Donnell, A. R., Lee, S., Ganji, M., Ro, Y. G., Oh, H., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab040 · Cited by 47
Neurons as hierarchies of quantum reference frames
Fields, C., Glazebrook, J. F., & Levin, M. (2022) · Biosystems · doi:10.1016/j.biosystems.2022.104714 · Cited by 45
High synaptic threshold for dendritic NMDA spike generation in human layer 2/3 pyramidal neurons
Testa-Silva, G., Rosier, M., Honnuraiah, S., Guzulaitis, R., Megias, A. M., French, C. R., King, J. A. J., Drummond, K. J., Palmer, L. M., & Stuart, G. J. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111787 · Cited by 37
Self-citationKerkhofs, A., Canas, P. M., Timmerman, A., Heistek, T. S., Real, J. I., Xavier, A. C., Cunha, R. A., Mansvelder, H. D., & Ferreira, S. G. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00133 · Cited by 45
Self-citationGenetic Mechanisms Underlying the Evolution of Connectivity in the Human Cortex
Schmidt, E. R. E., & Polleux, F. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.787164 · Cited by 49
Kerkhofs, A., Xavier, A. C., da Silva, B. S., Canas, P. M., Idema, S., Baayen, J. C., Ferreira, S. G., Cunha, R. A., & Mansvelder, H. D. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00899 · Cited by 43
Self-citationElectrical Compartmentalization in Neurons
Wybo, W. A. M., Torben-Nielsen, B., Nevian, T., & Gewaltig, M.-O. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.01.074 · Cited by 41
Inhibitory Network Bistability Explains Increased Interneuronal Activity Prior to Seizure Onset
Rich, S., Chameh, H. M., Rafiee, M., Ferguson, K., Skinner, F. K., & Valiante, T. A. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2019.00081 · Cited by 42
Imaging of post-mortem human brain tissue using electron and X-ray microscopy
Lewis, A. J., Genoud, C., Pont, M., van de Berg, W. D. J., Frank, S., Stahlberg, H., Shahmoradian, S. H., & Al‐Amoudi, A. (2019) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2019.06.003 · Cited by 35
Guidetti, M., Arlotti, M., Bocci, T., Bianchi, A. M., Parazzini, M., Ferrucci, R., & Priori, A. (2022) · Biomedicines · doi:10.3390/biomedicines10102333 · Cited by 41
Berg, J., Sorensen, S. A., Ting, J. T., Miller, J. A., Chartrand, T., Buchin, A., Bakken, T. E., Budzillo, A., Dee, N., Ding, S., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.31.018820 · Cited by 35
Self-citationMartin, L. J., & Qing, C. (2018) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nly040 · Cited by 36
Reverse engineering human brain evolution using organoid models
Mostajo-Radji, M. A., Schmitz, M. T., Torres, S., & Pollen, A. A. (2019) · Brain Research · doi:10.1016/j.brainres.2019.146582 · Cited by 36
Human voltage-gated Na + and K + channel properties underlie sustained fast AP signaling
Wilbers, R., Metodieva, V. D., Duverdin, S., Heyer, D. B., Galakhova, A. A., Mertens, E. J., Versluis, T. D., Baayen, J. C., Idema, S., Noske, D. P., et al. (2023) · Science Advances · doi:10.1126/sciadv.ade3300 · Cited by 32
Self-citationCTNND2 moderates the pace of synaptic maturation and links human evolution to synaptic neoteny
Assendorp, N., Fossati, M., Libé-Philippot, B., Christopoulou, E., Depp, M., Rapone, R., Dingli, F., Loew, D., Vanderhaeghen, P., & Charrier, C. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114797 · Cited by 32
Ofer, N., Benavides‐Piccione, R., DeFelipe, J., & Yuste, R. (2022) · eNeuro · doi:10.1523/eneuro.0039-22.2022 · Cited by 30
Wahle, P., Sobierajski, E., Köhler, I., Lehmann, N., Weber, S., Lübke, J. H. R., Engelhardt, M., Distler, C., & Meyer, G. (2022) · eLife · doi:10.7554/elife.76101 · Cited by 33
Spreizer, S., Aertsen, A., & Kumar, A. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007432 · Cited by 32
Çetereisi, D., Kramvis, I., Gebuis, T., van der Loo, R. J., Gouwenberg, Y., Mansvelder, H. D., Li, K. W., Smit, A. B., & Spijker, S. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00465 · Cited by 30
Self-citationHigh-fidelity dendritic sodium spike generation in human layer 2/3 neocortical pyramidal neurons
Gooch, H. M., Bluett, T., Perumal, M. B., Vo, H. D., Fletcher, L. N., Papacostas, J., Jeffree, R. L., Wood, M., Colditz, M., McMillen, J., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111500 · Cited by 35
Key morphological features of human pyramidal neurons
Benavides‐Piccione, R., Blázquez‐Llorca, L., Kastanauskaite, A., Fernaud-Espinosa, I., Tapia‐González, S., & DeFelipe, J. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae180 · Cited by 29
An in vitro whole-cell electrophysiology dataset of human cortical neurons
Howard, D., Chameh, H. M., Guet-McCreight, A., Hsiao, H. A., Vuong, M., Seo, Y. S., Shah, P. T., Nigam, A., Chen, Y., Davie, M., et al. (2022) · GigaScience · doi:10.1093/gigascience/giac108 · Cited by 30
Intensify3D: Normalizing signal intensity in large heterogenic image stacks
Yayon, N., Dudai, A., Vrieler, N., Amsalem, O., London, M., & Soreq, H. (2018) · Scientific Reports · doi:10.1038/s41598-018-22489-1 · Cited by 29
Age-dependent increased sag amplitude in human pyramidal neurons dampens baseline cortical activity
Guet-McCreight, A., Chameh, H. M., Mahallati, S., Wishart, M., Tripathy, S. J., Valiante, T. A., & Hay, E. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac348 · Cited by 31
Morpho-electric diversity of human hippocampal CA1 pyramidal neurons
Mertens, E. J., Leibner, Y., Pie, J. L., Galakhova, A. A., Waleboer, F., Meijer, J., Heistek, T. S., Wilbers, R., Heyer, D. B., Goriounova, N. A., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114100 · Cited by 27
Self-citationConnectomic Analysis of Brain Networks: Novel Techniques and Future Directions
Cazemier, J. L., Clascá, F., & Tiesinga, P. H. E. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00110 · Cited by 28
Variation in Pyramidal Cell Morphology Across the Human Anterior Temporal Lobe
Benavides‐Piccione, R., Rojo, C., Kastanauskaite, A., & DeFelipe, J. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab034 · Cited by 26
Schmuhl-Giesen, S. F., Rollenhagen, A., Walkenfort, B., Yakoubi, R., Sätzler, K., Miller, D., von Lehe, M., Hasenberg, M., & Lübke, J. H. R. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab315 · Cited by 29
On The Biophysical Complexity of Brain Dynamics: An Outlook
Shettigar, N., Yang, C.-L., Tu, K.-C., & Suh, C. S. (2022) · Dynamics · doi:10.3390/dynamics2020006 · Cited by 28
Kramvis, I., Mansvelder, H. D., & Meredith, R. M. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63639-3.00022-0 · Cited by 25
Self-citationRollenhagen, A., Walkenfort, B., Yakoubi, R., Klauke, S. A., Schmuhl-Giesen, S. F., Heinen‐Weiler, J., Voortmann, S., Marshallsay, B., Palaz, T., Holz, U., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21155558 · Cited by 24
Durá-Bernal, S., Herrera, B., Lupaşcu, C. A., Marsh, B. M., Gandolfi, D., Marasco, A., Neymotin, S. A., Romani, A., Solinas, S. M. G., Bazhenov, M., et al. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1236-24.2024 · Cited by 30
Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks
Kanari, L., Shi, Y., Arnaudon, A., Barros-Zulaica, N., Benavides‐Piccione, R., Coggan, J. S., DeFelipe, J., Hess, K., Mansvelder, H. D., Mertens, E. J., et al. (2025) · iScience · doi:10.1016/j.isci.2025.112928 · Cited by 37
Self-citationTechnical report: surgical preparation of human brain tissue for clinical and basic research
Straehle, J., Ravi, V. M., Heiland, D. H., Galanis, C., Lenz, M., Zhang, J., Neidert, N. N., Rahal, A. E., Vasilikos, I., Kellmeyer, P., et al. (2023) · Acta Neurochirurgica · doi:10.1007/s00701-023-05611-9 · Cited by 23
McGeachan, R. I., Meftah, S., Taylor, L. W., Catterson, J. H., Negro, D., Bonthron, C., Holt, K., Tulloch, J., Rose, J. L., Gobbo, F., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58879-z · Cited by 23
Szegedi, V., Bakos, E., Furdan, S., Kovács, B. B. H., Varga, D., Erdélyi, M., Barzó, P., Szűcs, A. L., Tamás, G., & Lamsa, K. P. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002001 · Cited by 26
Wilbers, R., Galakhova, A. A., Driessens, S. L. W., Heistek, T. S., Metodieva, V. D., Hagemann, J., Heyer, D. B., Mertens, E. J., Deng, S., Idema, S., et al. (2023) · Science Advances · doi:10.1126/sciadv.adf0708 · Cited by 23
Self-citationRich, S., Chameh, H. M., Sekulić, V., Valiante, T. A., & Skinner, F. K. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa261 · Cited by 25
Rasia‐Filho, A. A., Guerra, K. T. K., Vásquez, C. E., Dall’Oglio, A., Reberger, R., Jung, C. R., & Calcagnotto, M. E. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.616607 · Cited by 24
Metadata
- Authors
- Mohan, H., Verhoog, M. B., Doreswamy, K. K., Eyal, G., Aardse, R., Lodder, B. N., Goriounova, N. A., Asamoah, B., B. Brakspear, A. B. C., Groot, C., van der Sluis, S., Testa-Silva, G., Obermayer, J., Boudewijns, Z. S. R. M., Narayanan, R. T., Baayen, J. C., Segev, I., Mansvelder, H. D., & de Kock, C. P. J.
- Affiliations
- Vrije Universiteit Amsterdam (NL)
- Hebrew University of Jerusalem (IL)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- ORCID
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-08-28
- Volume
- 25
- Issue
- 12
- Pages
- 4839-4853
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC4635923
- OpenAlex
- W1938051493
- Cited by
- 280
- References
- 77
- Citations by year
- 2026: 26 · 2025: 42 · 2024: 34 · 2023: 28 · 2022: 30 · 2021: 28 · 2020: 29 · 2019: 23 · 2018: 21 · 2017: 9 · 2016: 9
- FWCI
- 5.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Cerebral Cortex (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Pure Amsterdam UMC (acceptedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Netherlands Scientific Organization (VIDI-452-12-014)
- Hersenstichting Nederland (2010(1)-09)
- Center for Neurogenomics and Cognitive Research
- Neuroscience Campus Amsterdam
- VU University Amsterdam
- Human Brain Project
- Netherlands Organization for Scientific Research (917.76.360, 912.06.148, 604102)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- human neocortex, pyramidal neurons, dendritic morphology, axon morphology, cortical layers, temporal cortex, dendritic length, dendritic branching, passive electrical properties, signal attenuation, cross-species comparison
- MeSH terms
- Adult, Aged, Animals, Axons, Dendrites, Epilepsy, Female, Humans, Macaca fascicularis, Macaca mulatta, Male, Mice, Inbred C57BL, Middle Aged, Species Specificity, Temporal Lobe, Cluster Analysis, Pyramidal Cells, Neocortex, Mice, Young Adult
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