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Evolutionary neuroscience

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Evolutionary neuroscience is the scientific study of the evolution of nervous systems. Evolutionary neuroscientists investigate the evolution and natural history of nervous system structure, functions and emergent properties. The field draws on concepts and findings from both neuroscience and evolutionary biology. Historically, most empirical work has been in the area of comparative neuroanatomy, and modern studies often make use of phylogenetic comparative methods. Selective breeding and experimental evolution approaches are also being used more frequently.

Conceptually and theoretically, the field is related to fields as diverse as cognitive genomics, neurogenetics, developmental neuroscience, neuroethology, comparative psychology, evo-devo, behavioral neuroscience, cognitive neuroscience, behavioral ecology, biological anthropology and sociobiology.

Evolutionary neuroscientists examine changes in genes, anatomy, physiology, and behavior to study the evolution of changes in the brain. They study a multitude of processes including the evolution of vocal, visual, auditory, taste, and learning systems as well as language evolution and development. In addition, evolutionary neuroscientists study the evolution of specific areas or structures in the brain such as the amygdala , forebrain and cerebellum as well as the motor or visual cortex.

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History

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Studies of the brain began during ancient Egyptian times but studies in the field of evolutionary neuroscience began after the publication of Darwin's On the Origin of Species in 1859. At that time, brain evolution was largely viewed at the time in relation to the incorrect scala naturae. Phylogeny and the evolution of the brain were still viewed as linear. During the early 20th century, there were several prevailing theories about evolution. Darwinism was based on the principles of natural selection and variation, Lamarckism was based on the passing down of acquired traits, Orthogenesis was based on the assumption that tendency towards perfection steers evolution, and Saltationism argued that discontinuous variation creates new species. Darwin's became the most accepted and allowed for people to starting thinking about the way animals and their brains evolve.

The 1936 book The Comparative Anatomy of the Nervous System of Vertebrates Including Man by the Dutch neurologist C.U. Ariëns Kappers (first published in German in 1921) was a landmark publication in the field. Following the Evolutionary Synthesis, the study of comparative neuroanatomy was conducted with an evolutionary view, and modern studies incorporate developmental genetics. It is now accepted that phylogenetic changes occur independently between species over time and can not be linear. It is also believed that an increase with brain size correlates with an increase in neural centers and behavior complexity.

Major arguments

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Over time, there are several arguments that would come to define the history of evolutionary neuroscience. The first is the argument between Etienne Geoffro St. Hilaire and George Cuvier over the topic of "common plan versus diversity". Geoffrey argued that all animals are built based on a single plan or archetype and he stressed the importance of homologies between organisms, while Cuvier believed that the structure of organs was determined by their function and that knowledge of the function of one organ could help discover the functions of other organs. He argued that there were at least four different archetypes. After Darwin, the idea of evolution was more accepted and Geoffrey's idea of homologous structures was more accepted. The second major argument is that of the Scala Naturae (scale of nature) versus the phylogenetic bush. The Scala Naturae, later also called the phylogenetic scale, was based on the premise that phylogenies are linear or like a scale while the phylogenetic bush argument was based on the idea that phylogenies were nonlinear and resembled a bush more than a scale. Today it is accepted that phylogenies are nonlinear. A third major argument dealt with the size of the brain and whether relative size or absolute size was more relevant in determining function. In the late 18th century, it was determined that brain to body ratio reduces as body size increases. However more recently, there is more focus on absolute brain size as this scales with internal structures and functions, with the degree of structural complexity, and with the amount of white matter in the brain, all suggesting that absolute size is much better predictor of brain function. Finally, a fourth argument is that of natural selection (Darwinism) versus developmental constraints (concerted evolution). It is now accepted that the evolution of development is what causes adult species to show differences and evolutionary neuroscientists maintain that many aspects of brain function and structure are conserved across species.

Techniques

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Throughout history, we see how evolutionary neuroscience has been dependent on developments in biological theory and techniques. The field of evolutionary neuroscience has been shaped by the development of new techniques that allow for the discovery and examination of parts of the nervous system. In 1873, Camillo Golgi devised the silver nitrate method which allowed for the description of the brain at the cellular level as opposed to simply the gross level. Santiago Ramon and Pedro Ramon used this method to analyze numerous parts of brains, broadening the field of comparative neuroanatomy. In the second half of the 19th century, new techniques allowed scientists to identify neuronal cell groups and fiber bundles in brains. In 1885, Vittorio Marchi discovered a staining technique that let scientists see induced axonal degeneration in myelinated axons, in 1950, the “original Nauta procedure” allowed for more accurate identification of degenerating fibers, and in the 1970s, there were several discoveries of multiple molecular tracers which would be used for experiments even today. In the last 20 years, cladistics has also become a useful tool for looking at variation in the brain.

Evolution of brains

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Lisa Feldman Barrett describes the story of evolution of brains in her book “Seven and a Half Lessons About the Brain”.

Many of Earth’s early years were filled with brainless creatures, and among them wast the amphioxus, which can be traced as far back as 550 million years ago.[1] Amphioxi had a significantly simpler way of life, which made it not necessary for them to have a brain. To replace its absence of a brain, the prehistoric amphioxi had a limited nervous system, which was composed of only a bunch of cells.[2] These cells optimized their uses because many of the cells for sensing intertwined with the cells used for its very simple system for moving, which allowed it to propel itself through bodies of water and react without much processing while the cells remaining were used for the detection of light to account to the fact that it had no eyes.[1] It also did not need a sense of hearing.[1] Even though the amphioxi had limited senses, they did not need them to survive efficiently, as their life was mainly dedicated to sitting on the seafloor to eat.[1] Although the amphioxus' "brain" might seem severely underdeveloped compared to their human counterparts, it was set well for its respective environment, which has allowed it to prosper for millions of years.

Although many scientists once assumed that the cause of the evolution of brains began to achieve thinking, it is viewed today as a great misconception.[3] 500 million years ago, the Earth entered into the Cambrian period, where hunting became a new concern for survival in an animal’s environment.[4] At this point, animals became sensitive to the presence of another, which could serve as food.[4] Although hunting did not inherently require a brain, it was one of the main steps that pushed the development of one, as organisms progressed to develop advanced sensory systems.[5]

In response to progressively complicated surroundings, where competition between animals with brains started to arise for survival, animals had to learn to manage their energy.[6] As creatures acquired a variety of senses for perception, animals progressed to develop allostasis, which played the role of an early brain by forcing the body to gather past experiences to improve prediction.[7] Since prediction beat reaction, organisms who planned their manoeuvres were more likely to survive than those who did not. This came with equally managing energy adequately, which nature favoured.[8] Animals that had not developed allostasis would be at a disadvantage for their purpose of exploration, foraging and reproduction, as death was a higher risk factor.[8]

As allostasis continued to develop in animals, their bodies equally continuously evolved in size and complexity.[9] They progressively started to develop cardiovascular systems, respiratory systems and immune systems to survive in their environments, which required bodies to have something more complex than the limited quality of cells to regulate themselves.[9] This encouraged the nervous systems of many creatures to develop into a brain, which was sizeable and strikingly similar to how most animal brains look today.[10]

Evolution of the human brain

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Charles Darwin’s book “The Descent of Man” stipulates that the mind evolved simultaneously with the body.[11] According to his theory, all humans have a barbaric core that they learn to deal with.[11] Darwin's theory allowed for people to start thinking about the way animals and their brains evolve.

Reptile brain

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Plato’s insight on the evolution of the human brain contemplated the idea that all humans were once lizards, with similar survival needs such as feeding, fighting and mating.[12] Plato defined this concept as the lizard brain, which was the deepest layer and one of three parts of his theory of the triune brain.[12] The triune brain theory was then developed by Paul MacLean.[13] Although, modern science has since proven the triune brain theory to be inaccurate.[14]

Recent research in molecular genetics has demonstrated evidence that there is no difference in the neurons that reptiles and nonhuman mammals have when compared to humans.[15] Instead, new research speculates that all mammals, and potentially reptiles, birds and some species of fish, evolve from a common order pattern.[15] This research reinforces the idea that human brains are structurally not any different from many other organisms.[16]

The cerebral cortex of reptiles resembles that of mammals, although simplified. Despite the fact that the evolution and function of the human cerebral cortex is still shrouded in mystery, we know that it is the most dramatically changed part of the brain during recent evolution.

Visual evolution

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Vision allows humans to process the world surrounding them to a certain extent. Through the wavelengths of light, the human brain can associate them to a specific event.[17] Although the brain obviously perceives its surroundings at a specific moment, the brain equally predicts the upcoming changes in the environment.[18] Once it has noticed them, the brain begins to prepare itself to encounter the new scenario by attempting to develop an adequate response.[19] This is accomplished by using the data the brain has at its access, which can be to use past experiences and memories to form a proper response.[19] However, sometimes the brain fails to predict accurately which means that the mind perceives a false illustration.[20] Such an incorrect image occurs when the brain uses an inadequate memory to respond to what it is facing, which means that the memory does not correlate with the real scenario.[20]

Research about how visual perception has developed in evolution is today best understood through studying present-day primates, since the organization of the brain cannot be ascertained only by analyzing fossilized skulls.

Auditory evolution

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The organization of the human auditory cortex is divided into core, belt and parabelt. This closely resembles that of present-day primates.

Language development

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Evidence of a rich cognitive life in primate relatives of humans are extensive, and a wide range of specific behaviors in line with Darwinian theory are well documented. However, until recently, research has disregarded nonhuman primates in the context of evolutionary linguistics, primarily because unlike vocal learning birds, our closest relatives seem to lack imitative abilities. Evolutionary speaking, there is great evidence suggesting a genetic groundwork for the concept of languages has been in place for millions of years, as with many other capabilities and behaviors observed today.

While evolutionary linguists agree on the fact that volitional control over vocalizing and expressing language is a quite recent leap in the history of the human race, that is not to say auditory perception is a recent development as well. Research has shown substantial evidence of well defined neural pathways linking cortices to organize auditory perception in the brain. Thus, the issue lies in our abilities to imitate sounds.

Beyond the fact that primates may be poorly equipped to learn sounds, studies have shown them to learn and use gestures far better. Visual cues and motoric pathways developed millions of years earlier in our evolution, which seems to be one reason for an earlier ability to understand and use gestures.

Evolution of cognitive systems

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Researchers

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See also

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References

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  1. Rhodes, J. S., and T. J. Kawecki. 2009. Behavior and neurobiology. Pp. 263–300 in Theodore Garland, Jr. and Michael R. Rose, eds. Experimental Evolution: Concepts, Methods, and Applications of Selection Experiments. University of California Press, Berkeley.
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  1. ^ a b c d Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 1. ISBN 9780358157144.
  2. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. pp. 1–2. ISBN 9780358157144.
  3. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 2. ISBN 9780358157144.
  4. ^ a b Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 4. ISBN 9780358157144.
  5. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. pp. 4–5. ISBN 9780358157144.
  6. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. pp. 5–6. ISBN 9780358157144.
  7. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. pp. 7–8. ISBN 9780358157144.
  8. ^ a b Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 8. ISBN 9780358157144.
  9. ^ a b Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 9. ISBN 9780358157144.
  10. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 10. ISBN 9780358157144.
  11. ^ a b Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 17. ISBN 9780358157144.
  12. ^ a b Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 14. ISBN 9780358157144.
  13. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 16. ISBN 9780358157144.
  14. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. pp. 15–16. ISBN 9780358157144.
  15. ^ a b Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. pp. 19–21. ISBN 9780358157144.
  16. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Mifflin Harcourt. p. 21. ISBN 9780358157144.
  17. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 66. ISBN 9780358157144.
  18. ^ Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. p. 72. ISBN 9780358157144.
  19. ^ a b Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. pp. 66–67. ISBN 9780358157144.
  20. ^ a b Barrett, Lisa Feldman (2020). Seven And A Half Lessons About The Brain. New York: Houghton Mifflin Harcourt. pp. 75–76. ISBN 9780358157144.
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