The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The evolution of brains from early mammals to humans
Open accessAbstract
The large size and complex organization of the human brain makes it unique among primate brains. In particular, the neocortex constitutes about 80% of the brain, and this cortex is subdivided into a large number of functionally specialized regions, the cortical areas. Such a brain mediates accomplishments and abilities unmatched by any other species. How did such a brain evolve? Answers come from comparative studies of the brains of present‐day mammals and other vertebrates in conjunction with information about brain sizes and shapes from the fossil record, studies of brain development, and principles derived from studies of scaling and optimal design. Early mammals were small, with small brains, an emphasis on olfaction, and little neocortex. Neocortex was transformed from the single layer of output pyramidal neurons of the dorsal cortex of earlier ancestors to the six layers of all present‐day mammals. This small cap of neocortex was divided into 20–25 cortical areas, including primary and some of the secondary sensory areas that characterize neocortex in nearly all mammals today. Early placental mammals had a corpus callosum connecting the neocortex of the two hemispheres, a primary motor area, M1, and perhaps one or more premotor areas. One line of evolution, Euarchontoglires, led to present‐day primates, tree shrews, flying lemurs, rodents, and rabbits. Early primates evolved from small‐brained, nocturnal, insect‐eating mammals with an expanded region of temporal visual cortex. These early nocturnal primates were adapted to the fine branch niche of the tropical rainforest by having an even more expanded visual system that mediated visually guided reaching and grasping of insects, small vertebrates, and fruits. Neocortex was greatly expanded and included an array of cortical areas that characterize neocortex of all living primates. Specializations of the visual system included new visual areas that contributed to a dorsal stream of visuomotor processing in a greatly enlarged region of posterior parietal cortex and an expanded motor system and the addition of a ventral premotor area. Higher visual areas in a large temporal lobe facilitated object recognition, and frontal cortex included granular prefrontal cortex. Auditory cortex included the primary and secondary auditory areas that characterize prosimian and anthropoid primates today. As anthropoids emerged as diurnal primates, the visual system specialized for detailed foveal vision. Other adaptations included an expansion of prefrontal cortex and insular cortex. The human and chimpanzee–bonobo lineages diverged some 6–8 million years ago with brains that were about one third the size of modern humans. Over the last 2 million years, the brains of our more recent ancestors increased greatly in size, especially in the prefrontal, posterior parietal, lateral temporal, and insular regions. Specialization of the two cerebral hemispheres for related, but different functions became pronounced, and language and other impressive cognitive abilities emerged. WIREs Cogn Sci 2013, 4:33–45. doi: 10.1002/wcs.1206 This article is categorized under: Neuroscience > Anatomy
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.
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
How do you feel? Interoception: The sense of the physiological condition of the body
Craig, A. D. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn894 · Cited by 6,006
Azevedo, F. A. C., Carvalho, L. R. B., Grinberg, L. T., Farfel, J. M., Ferretti, R. E. L., Leite, R. E. P., Filho, W. J., Lent, R., & Herculano‐Houzel, S. (2009) · Journal of Comparative Neurology · doi:10.1002/cne.21974 · Cited by 2,337
The expensive-tissue hypothesis: The brain and the digestive system in human and primate evolution
Aiello, L. C., & Wheeler, P. (1995) · Current Anthropology · doi:10.1086/204350 · Cited by 2,291
The delayed rise of present-day mammals
Bininda-Emonds, O. R. P., Cardillo, M., Jones, K. E., MacPhee, R. D. E., Beck, R. M. D., Grenyer, R., Price, S. A., Vos, R. A., Gittleman, J. L., & Purvis, A. (2007) · Nature · doi:10.1038/nature05634 · Cited by 2,082
Similar patterns of cortical expansion during human development and evolution
Hill, J., Inder, T., Neil, J., Dierker, D., Harwell, J., & Van Essen, D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001229107 · Cited by 811
Somatosensation in social perception
Keysers, C., Kaas, J. H., & Gazzola, V. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2833 · Cited by 787
Self-citationComparative Vertebrate Neuroanatomy: Evolution and Adaptation
Butler, A. B., & Hodos, W. (2005) · doi:10.1002/0471733849 · Cited by 640
The Neurobiology of the Prefrontal Cortex: Anatomy, Evolution, and the Origin of Insight
Passingham, R. E., & Wise, S. P. (2012) · doi:10.1093/acprof:osobl/9780199552917.001.0001 · Cited by 379
Organization of the human brain.
Gazzaniga, M. S. (1989) · Science · doi:10.1126/science.2672334 · Cited by 266
Why is Brain Size so Important:Design Problems and Solutions as Neocortex Gets Biggeror Smaller
Kaas, J. H. (2000) · Brain and Mind · doi:10.1023/a:1010028405318 · Cited by 225
Self-citationEvolution amplified processing with temporally dispersed slow neuronal connectivity in primates.
Caminiti, R., Ghaziri, H., Galuske, R., Hof, P. R., & Innocenti, G. M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907655106 · Cited by 189
Specializations of the granular prefrontal cortex of primates: Implications for cognitive processing
Elston, G. N., Benavides‐Piccione, R., Elston, A., Zietsch, B., Defelipe, J., Manger, P., Casagrande, V., & Kaas, J. H. (2006) · The Anatomical Record Part A: Discoveries in Molecular, Cellular, and Evolutionary Biology · doi:10.1002/ar.a.20278 · Cited by 167
Self-citation
Cited by
APP mouse models for Alzheimer’s disease preclinical studies.
Sasaguri, H., Nilsson, P., Hashimoto, S., Nagata, K., Saito, T., De Strooper, B., Hardy, J., Vassar, R., Winblad, B., & Saido, T. C. (2017) · The EMBO Journal · doi:10.15252/embj.201797397 · Cited by 793
Cortical Evolution: Judge the Brain by Its Cover
Geschwind, D. H., & Rakic, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.045 · Cited by 519
New insights into the development of the human cerebral cortex
Molnár, Z., Clowry, G. J., Šestan, N., Alzu'bi, A., Bakken, T., Hevner, R. F., Hüppi, P. S., Kostović, I., Rakic, P., Anton, E. S., et al. (2019) · Journal of Anatomy · doi:10.1111/joa.13055 · Cited by 401
The outer subventricular zone and primate-specific cortical complexification
Dehay, C., Kennedy, H., & Kosik, K. S. (2015) · Neuron · doi:10.1016/j.neuron.2014.12.060 · Cited by 314
Interoception, homeostatic emotions and sympathovagal balance
Strigo, I. A., & Craig, A. D. (. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2016.0010 · Cited by 281
Metadata
- Authors
- Kaas, J. H.
- Venue
- WIREs Cognitive Science
- Publisher
- Wiley
- Published
- 2012-11-08
- Volume
- 4
- Issue
- 1
- Pages
- 33-45
- ISSN
- 1939-5078 (ISSN-L)
- 1939-5086
- OpenAlex
- W2160711826
- Cited by
- 263
- References
- 12
- FWCI
- 17.82
- Type
- journal article
- Language
- en
- Open access
- green
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.