Evolution and development of the mammalian cerebral cortex
Open accessAbstract
Comparative developmental studies of the mammalian brain can identify key changes that can generate the diverse structures and functions of the brain. We have studied how the neocortex of early mammals became organized into functionally distinct areas, and how the current level of cortical cellular and laminar specialization arose from the simpler premammalian cortex. We demonstrate the neocortical organization in early mammals, which helps to elucidate how the large, complex human brain evolved from a long line of ancestors. The radial and tangential enlargement of the cortex was driven by changes in the patterns of cortical neurogenesis, including alterations in the proportions of distinct progenitor types. Some cortical cell populations travel to the cortex through tangential migration whereas others migrate radially. A number of recent studies have begun to characterize the chick, mouse and human and nonhuman primate cortical transcriptome to help us understand how gene expression relates to the development and anatomical and functional organization of the adult neocortex. Although all mammalian forms share the basic layout of cortical areas, the areal proportions and distributions are driven by distinct evolutionary pressures acting on sensory and motor experiences during the individual ontogenies.
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The human brain has evolved dramatically in the last 2-3 million years, gaining novel circuits, cell types, and signaling pathways that are rare or absent in animal models.
“Functional studies of human neurogenetic mutations are obviously challenging, due to the fact that the human brain has evolved dramatically in the last 2–3 million years, gaining novel circuits, cell types, and signaling pathways that are rare or absent in animal models (Geschwind and Rakic, 2013; Molnar et al., 2014; Paabo, 2014).”
From Genetic Changes Shaping the Human Brain (2015) · cites this paper as Molnar et al., 2014
Functional studies of human neurogenetic mutations are challenging because the human brain has evolved novel circuits, cell types, and signaling pathways that are rare or absent in animal models.
“Functional studies of human neurogenetic mutations are obviously challenging, due to the fact that the human brain has evolved dramatically in the last 2–3 million years, gaining novel circuits, cell types, and signaling pathways that are rare or absent in animal models (Geschwind and Rakic, 2013; Molnar et al., 2014; Paabo, 2014).”
From Genetic Changes Shaping the Human Brain (2015) · cites this paper as Molnar et al., 2014
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Author Response: Neuro-evolutionary evidence for a universal fractal primate brain shape
Wang, Y., Leiberg, K., Kindred, N., Madan, C. R., Poirier, C., Petkov, C. I., Taylor, P. N., & Mota, B. (2024) · eLife · doi:10.7554/elife.92080.3.sa3
Neuro-evolutionary evidence for a universal fractal primate brain shapePreprint
Wang, Y., Leiberg, K., Kindred, N., Madan, C. R., Poirier, C., Petkov, C. I., Taylor, P. N., & Mota, B. (2024) · eLife · doi:10.7554/elife.92080.3
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Spatial and single-nucleus transcriptomic profile of a chimpanzee frontal polePreprint
Alagöz, G., Wong, M., Gräßle, T., Jäger, C., Morawski, M., Kolleck, J., Francks, C., Wittig, R. M., Crockford, C., Gunz, P., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.16.638510
Comparative Cilia Analysis in the Cerebral Cortices of Turtles, Mice, and MacaquesPreprint
Mirhosseiniardakani, S., Qiu, L., Sousounis, K., Lyon, M., & Chen, X. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.16.688725
Altérations de la connectivité corticale au cours de périodes critiques du développement
Druart, M. (2020) · theses.fr (ABES) · doi:10.70675/b4f48d73za850z42b2z8dadzfad47d4f0a69
Action and rest tremor map to distinct networks within the primary motor cortex
Goede, L. L., Zvarova, P., Madan, S., Al‐Fatly, B., Xu, X., Ling, Z., Yao, C., Reich, M., Volkmann, J., Howard, C., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117404
- Authors
- Molnár, Z., Kaas, J. H., de Carlos, J. A., Hevner, R. F., Lein, E., & Němec, P.
- Affiliations
- University of Oxford (GB)
- Vanderbilt University (US)
- Seattle Children's Research Institute (US)
- Allen Institute for Brain Science (US)
- Charles University (CZ)
- Venue
- Brain Behavior and Evolution
- Publisher
- S. Karger AG
- Published
- 2014
- Volume
- 83
- Issue
- 2
- Pages
- 126-139
- ISSN
- 0006-8977 (ISSN-L)
- 1421-9743
- PMC
- PMC4440552
- OpenAlex
- W1490017765
- Cited by
- 93
- References
- 105
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 10 · 2023: 8 · 2022: 6 · 2021: 7 · 2020: 6 · 2019: 10 · 2018: 5 · 2017: 9 · 2016: 13 · 2015: 7 · 2014: 1
- FWCI
- 3.45
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain Behavior and Evolution (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Wellcome Trust
- Biotechnology and Biological Sciences Research Council (BB/I021833/1, BB/F003285/1)
- National Institute of Mental Health (HHSN271200800047C, RC2MH089921, R21MH087070, R01MH080766)
- National Institute of Neurological Disorders and Stroke (R01NS016446, R01NS085081)
- National Center for Research Resources (P51RR000169)
- Topics
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- neocortex, cortical lamination, cortical neurogenesis, cortical transcriptome, cortical cell types, comparative neuroanatomy
- MeSH terms
- Animals, Cerebral Cortex, Biological Evolution, Humans, Mammals, Neurons, Neocortex, Neurogenesis
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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.
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