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Developmental mechanisms underlying the evolution of human cortical circuits
Open accessAbstract
The brain of modern humans has evolved remarkable computational abilities that enable higher cognitive functions. These capacities are tightly linked to an increase in the size and connectivity of the cerebral cortex, which is thought to have resulted from evolutionary changes in the mechanisms of cortical development. Convergent progress in evolutionary genomics, developmental biology and neuroscience has recently enabled the identification of genomic changes that act as human-specific modifiers of cortical development. These modifiers influence most aspects of corticogenesis, from the timing and complexity of cortical neurogenesis to synaptogenesis and the assembly of cortical circuits. Mutations of human-specific genetic modifiers of corticogenesis have started to be linked to neurodevelopmental disorders, providing evidence for their physiological relevance and suggesting potential relationships between the evolution of the human brain and its sensitivity to specific diseases.
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“Neoteny of cortical neuron development is thought to play a major role in the emergence of HS features of developmental plasticity and adult brain functional properties.3,4,51”
From Synaptic neoteny of human cortical neurons requires species-specific balancing of SRGAP2-SYNGAP1 cross-inhibition (2024) · cites this paper as [3]
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“A salient feature of human brain development is the considerably prolonged, or neotenic, tempo of cortical neuronal maturation, taking months to years in humans instead of days to months observed in other mammals, including non-human primates.1,2,3,4,5,6”
From Synaptic neoteny of human cortical neurons requires species-specific balancing of SRGAP2-SYNGAP1 cross-inhibition (2024) · cites this paper as [3]
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Items 201–232 of 232
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
Fate mapping of neural stem cell niches reveals distinct origins of human cortical astrocytes
Allen, D. E., Donohue, K. C., Cadwell, C. R., Shin, D., Keefe, M. G., Sohal, V. S., & Nowakowski, T. J. (2022) · Science · doi:10.1126/science.abm5224 · Cited by 67
The regulatory landscapes of developmental genes
Bolt, C. C., & Duboule, D. (2020) · Development · doi:10.1242/dev.171736 · Cited by 66
Johansson, P. A., Brattås, P. L., Douse, C. H., Hsieh, P., Adami, A., Pontis, J., Grassi, D. A., Garza, R., Sozzi, E., Cataldo, L. R., et al. (2021) · Cell stem cell · doi:10.1016/j.stem.2021.09.008 · Cited by 64
Schörnig, M., Ju, X.-C., Fast, L., Ebert, S., Weigert, A., Kanton, S., Schaffer, T., Kasri, N. N., Treutlein, B., Peter, B. M., et al. (2021) · eLife · doi:10.7554/elife.59323 · Cited by 63
Genetic pathways involved in human speech disorders
den Hoed, J., & Fisher, S. E. (2020) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2020.05.012 · Cited by 62
Boulting, G. L., Durresi, E., Ataman, B., Sherman, M. A., Mei, K., Harmin, D. A., Carter, A. C., Hochbaum, D. R., Granger, A. J., Engreitz, J., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00786-1 · Cited by 62
Balaram, P., Kaas, J. H., & Young, N. A. (2014) · Eye and Brain · doi:10.2147/eb.s51814 · Cited by 60
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
Bacon, C., Endris, V., & Rappold, G. (2009) · The Journal of Comparative Neurology · doi:10.1002/cne.21955 · Cited by 59
Lowry, C. A., Richardson, C., Zoeller, T. R., Miller, L. J., Muske, L. E., & Moore, F. L. (1997) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19970818)385:1 · Cited by 56
Self-citationRedefining varicose projection astrocytes in primates.
Falcone, C., McBride, E. L., Hopkins, W. D., Hof, P. R., Manger, P. R., Sherwood, C. C., Noctor, S. C., & Martínez‐Cerdeño, V. (2022) · Glia · doi:10.1002/glia.24093 · Cited by 56
Schmidt, E. R. E., Kupferman, J. V., Stackmann, M., & Polleux, F. (2019) · Scientific Reports · doi:10.1038/s41598-019-54887-4 · Cited by 55
Self-citationHoye, M. L., Calviello, L., Poff, A., Ejimogu, E., Newman, C. R., Montgomery, M. D., Ou, J., Floor, S. N., & Silver, D. L. (2022) · eLife · doi:10.7554/elife.78203 · Cited by 55
Heurck, R. V., Bonnefont, J., Wojno, M., Suzuki, I., Velez-Bravo, F. D., Erkol, E., Nguyen, D. T., Herpoel, A., Bilheu, A., Beckers, S., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.018 · Cited by 55
Self-citationFrancioni, V., & Harnett, M. T. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.05.038 · Cited by 50
Genetic 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
Self-citationRaju, C. S., Spatazza, J., Stanco, A., Larimer, P., Sorrells, S. F., Kelley, K. W., Nicholas, C. R., Paredes, M. F., Lui, J. H., Hasenstaub, A. R., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx101 · Cited by 46
Castelijns, B., Baak, M. L., Timpanaro, I. S., Wiggers, C. R. M., Vermunt, M. W., Shang, P., Kondova, I. I., Geeven, G., Bianchi, V., de Laat, W. L., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14269-w · Cited by 46
Genetic studies of human–chimpanzee divergence using stem cell fusions
Song, J. H. T., Grant, R. L., Behrens, V. C., Kučka, M., Kingman, G. A. R., Soltys, V., Chan, Y. F., & Kingsley, D. M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2117557118 · Cited by 46
Verendeev, A., & Sherwood, C. C. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.02.003 · Cited by 43
Wu, Q., Shichino, Y., Abe, T., Suetsugu, T., Omori, A., Kiyonari, H., Iwasaki, S., & Matsuzaki, F. (2022) · Nature Communications · doi:10.1038/s41467-022-28097-y · Cited by 43
TBC1D3 promotes neural progenitor proliferation by suppressing the histone methyltransferase G9a
Hou, Q.-Q., Xiao, Q., Sun, X.-Y., Ju, X.-C., & Luo, Z. (2021) · Science Advances · doi:10.1126/sciadv.aba8053 · Cited by 41
Evidence for evolutionary divergence of activity-dependent gene expression in developing neurons
Qiu, J., McQueen, J., Bilican, B., Dando, O., Magnani, D., Punovuori, K., Selvaraj, B. T., Livesey, M. R., Haghi, G., Heron, S., et al. (2016) · eLife · doi:10.7554/elife.20337 · Cited by 39
1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans
Sønderby, I. E., van der Meer, D., Moreau, C. A., Kaufmann, T., Walters, G. B., Ellegaard, M., Abdellaoui, A., Ames, D. J., Amunts, K., Andersson, M., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01213-0 · Cited by 39
The Evolutionary History of Common Genetic Variants Influencing Human Cortical Surface Area
Tilot, A. K., Khramtsova, E. A., Liang, D., Grasby, K. L., Jahanshad, N., Painter, J. N., Colodro‐Conde, L., Bralten, J., Hibar, D. P., Lind, P. A., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa327 · Cited by 32
A community-based transcriptomics classification and nomenclature of neocortical cell types
Yuste, R., Hawrylycz, M., Aalling, N., Aguilar-Valles, A., Arendt, D., Armañanzas, R., Ascoli, G. A., Bielza, C., Bokharaie, V., Bergmann, T. B., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0685-8 · Cited by 32
Fang, W., & Yuste, R. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.09.040 · Cited by 30
Synaptic biology of barrel cortex circuit assembly
Vitali, I., & Jabaudon, D. (2014) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2014.07.009 · Cited by 25
Modern human changes in regulatory regions implicated in cortical development
Moriano, J., & Boeckx, C. A. (2020) · BMC Genomics · doi:10.1186/s12864-020-6706-x · Cited by 23
Cortical Cartography: Mapping Arealization Using Single-Cell Omics Technology
Nano, P. R., Nguyen, C. V., Mil, J., & Bhaduri, A. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.788560 · Cited by 7
Huttenlocher (1997) · doi:10.1002/(sici)1096-9861(19971020)387:2
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Zhou, Y. F., Song, H., & Ming, G. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00626-5 · Cited by 195
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Akula, S. K., Exposito-Alonso, D., & Walsh, C. A. (2023) · Developmental Cell · doi:10.1016/j.devcel.2023.11.004 · Cited by 104
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Soutschek, M., & Schratt, G. M. (2023) · Neuron · doi:10.1016/j.neuron.2023.04.031 · Cited by 75
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
Unraveling mechanisms of human brain evolution
Lancaster, M. A. (2024) · Cell · doi:10.1016/j.cell.2024.08.052 · Cited by 58
Metadata
- Authors
- Vanderhaeghen, P., & Polleux, F.
- Affiliations
- VIB-KU Leuven Center for Brain & Disease Research (BE)
- Columbia University Irving Medical Center (US)
- Corresponding author
- Vanderhaeghen, Pierre
- Polleux, Franck
- Venue
- Nature Reviews Neuroscience
- Published
- 2023-02-15
- Volume
- 24
- Issue
- 4
- Pages
- 213-232
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC10064077
- OpenAlex
- W4320913079
- Cited by
- 173
- References
- 231
- Citations by year
- 2026: 36 · 2025: 60 · 2024: 53 · 2023: 24
- FWCI
- 6.63
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Lirias (submittedVersion, other-oa)
- Funders
- AXA Research Fund
- Fonds De La Recherche Scientifique - FNRS
- Fonds Wetenschappelijk Onderzoek
- NOMIS Stiftung
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (R01NS067557, RO1NS067557, R35NS127232)
- Topics
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Keywords
- human brain evolution, cortical development, neurogenesis, synaptogenesis, cortical circuits, neurodevelopmental disorders, higher cognition
- MeSH terms
- Brain, Cerebral Cortex, Humans, Neurogenesis
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