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Journal articles on the topic 'Brain evolution'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Bach-y-Rita, Paul, and Gaetano L. Aiello. "Brain energetics and evolution." Behavioral and Brain Sciences 24, no. 2 (2001): 280–81. http://dx.doi.org/10.1017/s0140525x01243957.

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The human brain does not use more energy than the smaller brains of animals of comparable corporal weight. Uniquely, human functions localized largely in parts of the human brain that show greatest size increase over other animals may be mediated primarily by nonsynaptic neurotransmission, with reduced energy cost per kilogram of brain. This may affect the energetic constraints on evolution.

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2

Eckhardt, R. B. "Hominid brain evolution: Two conceptions of science." Anthropologischer Anzeiger 49, no. 4 (1991): 289–302. http://dx.doi.org/10.1127/anthranz/49/1991/289.

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3

Farris, Sarah M. "Evolution of brain elaboration." Philosophical Transactions of the Royal Society B: Biological Sciences 370, no. 1684 (2015): 20150054. http://dx.doi.org/10.1098/rstb.2015.0054.

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Large, complex brains have evolved independently in several lineages of protostomes and deuterostomes. Sensory centres in the brain increase in size and complexity in proportion to the importance of a particular sensory modality, yet often share circuit architecture because of constraints in processing sensory inputs. The selective pressures driving enlargement of higher, integrative brain centres has been more difficult to determine, and may differ across taxa. The capacity for flexible, innovative behaviours, including learning and memory and other cognitive abilities, is commonly observed i

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4

Striedter, Georg F. "Précis of Principles of Brain Evolution." Behavioral and Brain Sciences 29, no. 1 (2006): 1–12. http://dx.doi.org/10.1017/s0140525x06009010.

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Brain evolution is a complex weave of species similarities and differences, bound by diverse rules and principles. This book is a detailed examination of these principles, using data from a wide array of vertebrates but minimizing technical details and terminology. It is written for advanced undergraduates, graduate students, and more senior scientists who already know something about “the brain,” but want a deeper understanding of how diverse brains evolved. The book's central theme is that evolutionary changes in absolute brain size tend to correlate with many other aspects of brain structur

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5

Godwin, Dwayne, and Jorge Cham. "Brain Evolution." Scientific American Mind 25, no. 4 (2014): 76. http://dx.doi.org/10.1038/scientificamericanmind0714-76.

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6

Swain, James E. "Brain design: The evolution of brains." Behavioral and Brain Sciences 29, no. 1 (2006): 24–25. http://dx.doi.org/10.1017/s0140525x06349011.

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After reviewing historical aspects of brain evolution, this accessible book provides an enjoyable overview of several general principles of brain evolution, culminating in discussions of mammalian and human brains and a framework for future research.

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7

Dunbar, R. I. M., and Susanne Shultz. "Understanding primate brain evolution." Philosophical Transactions of the Royal Society B: Biological Sciences 362, no. 1480 (2007): 649–58. http://dx.doi.org/10.1098/rstb.2006.2001.

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We present a detailed reanalysis of the comparative brain data for primates, and develop a model using path analysis that seeks to present the coevolution of primate brain (neocortex) and sociality within a broader ecological and life-history framework. We show that body size, basal metabolic rate and life history act as constraints on brain evolution and through this influence the coevolution of neocortex size and group size. However, they do not determine either of these variables, which appear to be locked in a tight coevolutionary system. We show that, within primates, this relationship is

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8

Finlay, Barbara L., Richard B. Darlington, and Nicholas Nicastro. "Developmental structure in brain evolution." Behavioral and Brain Sciences 24, no. 2 (2001): 263–78. http://dx.doi.org/10.1017/s0140525x01003958.

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How does evolution grow bigger brains? It has been widely assumed that growth of individual structures and functional systems in response to niche-specific cognitive challenges is the most plausible mechanism for brain expansion in mammals. Comparison of multiple regressions on allometric data for 131 mammalian species, however, suggests that for 9 of 11 brain structures taxonomic and body size factors are less important than covariance of these major structures with each other. Which structure grows biggest is largely predicted by a conserved order of neurogenesis that can be derived from the

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9

Smulders, Tom V. "The relevance of brain evolution for the biomedical sciences." Biology Letters 5, no. 1 (2008): 138–40. http://dx.doi.org/10.1098/rsbl.2008.0521.

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Most biomedical neuroscientists realize the importance of the study of brain evolution to help them understand the differences and similarities between their animal model of choice and the human brains in which they are ultimately interested. Many think of evolution as a linear process, going from simpler brains, as those of rats, to more complex ones, as those of humans. However, in reality, every extant species' brain has undergone as long a period of evolution as has the human brain, and each brain has its own species-specific adaptations. By understanding the variety of existing brain type

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10

Jiang, Ying, Jia Yu Wang, Xiao Fu Huang, Chun Lan Mai, and Wen Bo Liao. "Brain size evolution in small mammals: test of the expensive tissue hypothesis." Mammalia 85, no. 5 (2021): 455–61. http://dx.doi.org/10.1515/mammalia-2019-0134.

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Abstract Brain size exhibits significant changes within and between species. Evolution of large brains can be explained by the need to improve cognitive ability for processing more information in changing environments. However, brains are among the most energetically expensive organs. Enlarged brains can impose energetic demands that limit brain size evolution. The expensive tissue hypothesis (ETH) states that a decrease in the size of another expensive tissue, such as the gut, should compensate for the cost of a large brain. We studied the interplay between energetic limitations and brain siz

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11

Ksepka, Daniel. "Bird Brain Evolution." American Scientist 109, no. 6 (2021): 352. http://dx.doi.org/10.1511/2021.109.6.352.

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12

Kaas, Jon H. "Understanding brain evolution." Nature Neuroscience 8, no. 5 (2005): 539. http://dx.doi.org/10.1038/nn0505-539.

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13

Ridgway, S. H., and F. G. Wood. "Cetacean brain evolution." Behavioral and Brain Sciences 11, no. 1 (1988): 99–100. http://dx.doi.org/10.1017/s0140525x00052961.

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14

Bailey, Drew H., and David C. Geary. "Hominid Brain Evolution." Human Nature 20, no. 1 (2009): 67–79. http://dx.doi.org/10.1007/s12110-008-9054-0.

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15

Verendeev, Andrey, and Chet C. Sherwood. "Human brain evolution." Current Opinion in Behavioral Sciences 16 (August 2017): 41–45. http://dx.doi.org/10.1016/j.cobeha.2017.02.003.

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16

Shimizu, Toru. "Brain evolution by natural selection." Behavioral and Brain Sciences 29, no. 1 (2006): 23–24. http://dx.doi.org/10.1017/s0140525x06339015.

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Principles of Brain Evolution (Striedter 2005) places little emphasis on natural selection. However, one cannot fully appreciate the diversity of brains across species, nor the evolutionary processes driving such diversity, without an understanding of the effects of natural selection. Had Striedter included more extensive discussions about natural selection, his text would have been more balanced and comprehensive.

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17

Chakraborty, Mukta, and Erich D. Jarvis. "Brain evolution by brain pathway duplication." Philosophical Transactions of the Royal Society B: Biological Sciences 370, no. 1684 (2015): 20150056. http://dx.doi.org/10.1098/rstb.2015.0056.

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Understanding the mechanisms of evolution of brain pathways for complex behaviours is still in its infancy. Making further advances requires a deeper understanding of brain homologies, novelties and analogies. It also requires an understanding of how adaptive genetic modifications lead to restructuring of the brain. Recent advances in genomic and molecular biology techniques applied to brain research have provided exciting insights into how complex behaviours are shaped by selection of novel brain pathways and functions of the nervous system. Here, we review and further develop some insights t

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18

Sayol, Ferran, Louis Lefebvre, and Daniel Sol. "Relative Brain Size and Its Relation with the Associative Pallium in Birds." Brain, Behavior and Evolution 87, no. 2 (2016): 69–77. http://dx.doi.org/10.1159/000444670.

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Despite growing interest in the evolution of enlarged brains, the biological significance of brain size variation remains controversial. Much of the controversy is over the extent to which brain structures have evolved independently of each other (mosaic evolution) or in a coordinated way (concerted evolution). If larger brains have evolved by the increase of different brain regions in different species, it follows that comparisons of the whole brain might be biologically meaningless. Such an argument has been used to criticize comparative attempts to explain the existing variation in whole-br

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19

Granger, Richard. "The evolution of computation in brain circuitry." Behavioral and Brain Sciences 29, no. 1 (2006): 17–18. http://dx.doi.org/10.1017/s0140525x06279019.

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The attempt to derive mental function from brain structure is highly constrained by study of the allometric changes among brain components with evolution. In particular, even if homologous structures in different species produce similar computations, they may be constituents of larger systems (e.g., cortical-subcortical loops) that exhibit different composite operations as a function of relative size and connectivity in different-sized brains. The resulting evolutionary constraints set useful and specific conditions on candidate hypotheses of brain circuit computation.

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20

van Schaik, Carel P., Zitan Song, Caroline Schuppli, Szymon M. Drobniak, Sandra A. Heldstab, and Michael Griesser. "Extended parental provisioning and variation in vertebrate brain sizes." PLOS Biology 21, no. 2 (2023): e3002016. http://dx.doi.org/10.1371/journal.pbio.3002016.

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Large brains provide adaptive cognitive benefits but require unusually high, near-constant energy inputs and become fully functional well after their growth is completed. Consequently, young of most larger-brained endotherms should not be able to independently support the growth and development of their own brains. This paradox is solved if the evolution of extended parental provisioning facilitated brain size evolution. Comparative studies indeed show that extended parental provisioning coevolved with brain size and that it may improve immature survival. The major role of extended parental pr

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21

Mai, Chun Lan, and Wen Bo Liao. "Brain size evolution in anurans: a review." Animal Biology 69, no. 3 (2019): 265–79. http://dx.doi.org/10.1163/15707563-00001074.

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Abstract Selection pressure is an important force in shaping the evolution of vertebrate brain size among populations within species as well as between species. The evolution of brain size is tightly linked to natural and sexual selection, and life-history traits. In particular, increased environmental stress, intensity of sexual selection, and slower life history usually result in enlarged brains. However, although previous studies have addressed the causes of brain size evolution, no systematic reviews have been conducted to explain brain size in anurans. Here, we review whether brain size e

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22

Keverne, Eric B. "Epigenetics and brain evolution." Epigenomics 3, no. 2 (2011): 183–91. http://dx.doi.org/10.2217/epi.11.10.

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23

DEACON, TERRENCE W. "Rethinking Mammalian Brain Evolution." American Zoologist 30, no. 3 (1990): 629–705. http://dx.doi.org/10.1093/icb/30.3.629.

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24

Hines, Pamela J. "Evolution of the brain." Science 360, no. 6391 (2018): 870.1–870. http://dx.doi.org/10.1126/science.360.6391.870-a.

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25

Northcutt, R. G. "Understanding Vertebrate Brain Evolution." Integrative and Comparative Biology 42, no. 4 (2002): 743–56. http://dx.doi.org/10.1093/icb/42.4.743.

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26

Gibbons, A. "Empathy and brain evolution." Science 259, no. 5099 (1993): 1250–51. http://dx.doi.org/10.1126/science.8446891.

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27

Stein, Barry E. "Concepts of brain evolution." Behavioral and Brain Sciences 11, no. 1 (1988): 100–101. http://dx.doi.org/10.1017/s0140525x00052985.

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28

Lieberman, Philip. "Speech and brain evolution." Behavioral and Brain Sciences 14, no. 4 (1991): 566–68. http://dx.doi.org/10.1017/s0140525x00071399.

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29

Arbib, Michael A. "brain, Meaning, Grammar, evolution." Behavioral and Brain Sciences 26, no. 6 (2003): 668–69. http://dx.doi.org/10.1017/s0140525x03240152.

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I reject Jackendoff's view of Universal Grammar as something that evolved biologically but applaud his integration of blackboard architectures. I thus recall the HEARSAY speech understanding system—the AI system that introduced the concept of “blackboard”—to provide another perspective on Jackendoff's architecture.

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30

Adkins-Regan, Elizabeth. "Brain evolution: Part I." Behavioral and Brain Sciences 29, no. 1 (2006): 12–13. http://dx.doi.org/10.1017/s0140525x06229017.

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Striedter's accessible concept-based book is strong on the macroevolution of brains and the developmental principles that underlie how brains evolve on that scale. In the absence of greater attention to microevolution, natural selection, and sexual selection, however, it is incomplete and not fully modern on the evolution side. Greater biological integration is needed.

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31

Goertzel, Ben. "Brain function as evolution." Journal of Social and Evolutionary Systems 15, no. 4 (1992): 399–429. http://dx.doi.org/10.1016/1061-7361(92)90026-a.

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32

Divac, Ivan. "Monotremunculi and brain evolution." Trends in Neurosciences 18, no. 1 (1995): 2–4. http://dx.doi.org/10.1016/0166-2236(95)93941-p.

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33

Wilson, Clare. "Evolution: The brain gain." New Scientist 214, no. 2868 (2012): 36–37. http://dx.doi.org/10.1016/s0262-4079(12)61496-1.

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34

Castiglione, Silvia, Carmela Serio, Martina Piccolo, et al. "The influence of domestication, insularity and sociality on the tempo and mode of brain size evolution in mammals." Biological Journal of the Linnean Society 132, no. 1 (2020): 221–31. http://dx.doi.org/10.1093/biolinnean/blaa186.

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Abstract The ability to develop complex social bonds and an increased capacity for behavioural flexibility in novel environments have both been forwarded as selective forces favouring the evolution of a large brain in mammals. However, large brains are energetically expensive, and in circumstances in which selective pressures are relaxed, e.g. on islands, smaller brains are selected for. Similar reasoning has been offered to explain the reduction of brain size in domestic species relative to their wild relatives. Herein, we assess the effect of domestication, insularity and sociality on brain

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35

Shumway, Caroly A. "The evolution of complex brains and behaviors in African cichlid fishes." Current Zoology 56, no. 1 (2010): 144–56. http://dx.doi.org/10.1093/czoolo/56.1.144.

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Abstract In this review, I explore the effects of both social organization and the physical environment, specifically habitat complexity, on the brains and behavior of highly visual African cichlid fishes, drawing on examples from primates and birds where appropriate. In closely related fishes from the monophyletic Ectodinii clade of Lake Tanganyika, both forces influence cichlid brains and behavior. Considering social influences first, visual acuity differs with respect to social organization (monogamy versus polygyny). Both the telencephalon and amygdalar homologue, area Dm, are larger in mo

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36

Reardon, P. K., Jakob Seidlitz, Simon Vandekar, et al. "Normative brain size variation and brain shape diversity in humans." Science 360, no. 6394 (2018): 1222–27. http://dx.doi.org/10.1126/science.aar2578.

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Brain size variation over primate evolution and human development is associated with shifts in the proportions of different brain regions. Individual brain size can vary almost twofold among typically developing humans, but the consequences of this for brain organization remain poorly understood. Using in vivo neuroimaging data from more than 3000 individuals, we find that larger human brains show greater areal expansion in distributed frontoparietal cortical networks and related subcortical regions than in limbic, sensory, and motor systems. This areal redistribution recapitulates cortical re

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37

Pitnick, Scott, Kate E. Jones, and Gerald S. Wilkinson. "Mating system and brain size in bats." Proceedings of the Royal Society B: Biological Sciences 273, no. 1587 (2005): 719–24. http://dx.doi.org/10.1098/rspb.2005.3367.

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The contribution of sexual selection to brain evolution has been little investigated. Through comparative analyses of bats, we show that multiple mating by males, in the absence of multiple mating by females, has no evolutionary impact on relative brain dimension. In contrast, bat species with promiscuous females have relatively smaller brains than do species with females exhibiting mate fidelity. This pattern may be a consequence of the demonstrated negative evolutionary relationship between investment in testes and investment in brains, both metabolically expensive tissues. These results hav

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38

Gilbert, Sandra L., William B. Dobyns, and Bruce T. Lahn. "Genetic links between brain development and brain evolution." Nature Reviews Genetics 6, no. 7 (2005): 581–90. http://dx.doi.org/10.1038/nrg1634.

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39

Pitnick, Scott, Kate E. Jones, and Gerald S. Wilkinson. "Mating system and brain size in bats." Proceedings of the Royal Society B: Biological Sciences 273, no. 1587 (2006): 719–24. https://doi.org/10.5281/zenodo.13435416.

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(Uploaded by Plazi for the Bat Literature Project) The contribution of sexual selection to brain evolution has been little investigated. Through comparative analyses of bats, we show that multiple mating by males, in the absence of multiple mating by females, has no evolutionary impact on relative brain dimension. In contrast, bat species with promiscuous females have relatively smaller brains than do species with females exhibiting mate fidelity. This pattern may be a consequence of the demonstrated negative evolutionary relationship between investment in testes and investment in brains, both

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40

Pitnick, Scott, Kate E. Jones, and Gerald S. Wilkinson. "Mating system and brain size in bats." Proceedings of the Royal Society B: Biological Sciences 273, no. 1587 (2006): 719–24. https://doi.org/10.5281/zenodo.13435416.

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(Uploaded by Plazi for the Bat Literature Project) The contribution of sexual selection to brain evolution has been little investigated. Through comparative analyses of bats, we show that multiple mating by males, in the absence of multiple mating by females, has no evolutionary impact on relative brain dimension. In contrast, bat species with promiscuous females have relatively smaller brains than do species with females exhibiting mate fidelity. This pattern may be a consequence of the demonstrated negative evolutionary relationship between investment in testes and investment in brains, both

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41

Pitnick, Scott, Kate E. Jones, and Gerald S. Wilkinson. "Mating system and brain size in bats." Proceedings of the Royal Society B: Biological Sciences 273, no. 1587 (2006): 719–24. https://doi.org/10.5281/zenodo.13435416.

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(Uploaded by Plazi for the Bat Literature Project) The contribution of sexual selection to brain evolution has been little investigated. Through comparative analyses of bats, we show that multiple mating by males, in the absence of multiple mating by females, has no evolutionary impact on relative brain dimension. In contrast, bat species with promiscuous females have relatively smaller brains than do species with females exhibiting mate fidelity. This pattern may be a consequence of the demonstrated negative evolutionary relationship between investment in testes and investment in brains, both

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42

Pitnick, Scott, Kate E. Jones, and Gerald S. Wilkinson. "Mating system and brain size in bats." Proceedings of the Royal Society B: Biological Sciences 273, no. 1587 (2006): 719–24. https://doi.org/10.5281/zenodo.13435416.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) The contribution of sexual selection to brain evolution has been little investigated. Through comparative analyses of bats, we show that multiple mating by males, in the absence of multiple mating by females, has no evolutionary impact on relative brain dimension. In contrast, bat species with promiscuous females have relatively smaller brains than do species with females exhibiting mate fidelity. This pattern may be a consequence of the demonstrated negative evolutionary relationship between investment in testes and investment in brains, both

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43

Pitnick, Scott, Kate E. Jones, and Gerald S. Wilkinson. "Mating system and brain size in bats." Proceedings of the Royal Society B: Biological Sciences 273, no. 1587 (2006): 719–24. https://doi.org/10.5281/zenodo.13435416.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) The contribution of sexual selection to brain evolution has been little investigated. Through comparative analyses of bats, we show that multiple mating by males, in the absence of multiple mating by females, has no evolutionary impact on relative brain dimension. In contrast, bat species with promiscuous females have relatively smaller brains than do species with females exhibiting mate fidelity. This pattern may be a consequence of the demonstrated negative evolutionary relationship between investment in testes and investment in brains, both

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44

Smaers, J. B., and C. Soligo. "Brain reorganization, not relative brain size, primarily characterizes anthropoid brain evolution." Proceedings of the Royal Society B: Biological Sciences 280, no. 1759 (2013): 20130269. http://dx.doi.org/10.1098/rspb.2013.0269.

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45

Gonzalez-Voyer, Alejandro, Svante Winberg, and Niclas Kolm. "Social fishes and single mothers: brain evolution in African cichlids." Proceedings of the Royal Society B: Biological Sciences 276, no. 1654 (2008): 161–67. http://dx.doi.org/10.1098/rspb.2008.0979.

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As with any organ, differences in brain size—after adequate control of allometry—are assumed to be a response to selection. With over 200 species and an astonishing diversity in niche preferences and social organization, Tanganyikan cichlids present an excellent opportunity to study brain evolution. We used phylogenetic comparative analyses of sexed adults from 39 Tanganyikan cichlid species in a multiple regression framework to investigate the influence of ecology, sexual selection and parental care patterns on whole brain size, as well as to analyse sex-specific effects. First, using species

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46

Walsh, Matthew R., Whitnee Broyles, Shannon M. Beston, and Stephan B. Munch. "Predator-driven brain size evolution in natural populations of Trinidadian killifish ( Rivulus hartii )." Proceedings of the Royal Society B: Biological Sciences 283, no. 1834 (2016): 20161075. http://dx.doi.org/10.1098/rspb.2016.1075.

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Vertebrates exhibit extensive variation in relative brain size. It has long been assumed that this variation is the product of ecologically driven natural selection. Yet, despite more than 100 years of research, the ecological conditions that select for changes in brain size are unclear. Recent laboratory selection experiments showed that selection for larger brains is associated with increased survival in risky environments. Such results lead to the prediction that increased predation should favour increased brain size. Work on natural populations, however, foreshadows the opposite trajectory

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47

Sugden, Andrew M. "Brain evolution in early Homo." Science 372, no. 6538 (2021): 141.18–143. http://dx.doi.org/10.1126/science.372.6538.141-r.

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48

Liu, Jing, and Debra L. Silver. "Founder cells shape brain evolution." Cell 184, no. 8 (2021): 1965–67. http://dx.doi.org/10.1016/j.cell.2021.03.045.

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49

Malgrange, Brigitte, and Laurent Nguyen. "Scaling brain neurogenesis across evolution." Science 377, no. 6611 (2022): 1155–56. http://dx.doi.org/10.1126/science.ade4388.

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50

Whalley, Katherine. "Regulators of human brain evolution." Nature Reviews Neuroscience 22, no. 12 (2021): 720–21. http://dx.doi.org/10.1038/s41583-021-00534-9.

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