Hubbry Logo
Evolution of the brainEvolution of the brainMain
Open search
Evolution of the brain
Community hub
Evolution of the brain
logo
8 pages, 0 posts
0 subscribers
Be the first to start a discussion here.
Be the first to start a discussion here.
Contribute something
Evolution of the brain
Evolution of the brain
from Wikipedia

Evolution of the brain from ape to man

The evolution of the brain refers to the progressive development and complexity of neural structures over millions of years, resulting in the diverse range of brain sizes and functions observed across different species today, particularly in vertebrates.

The evolution of the brain has exhibited diverging adaptations within taxonomic classes, such as Mammalia, and even more diverse adaptations across other taxonomic classes. Brain-to-body size scales allometrically.[1] This means that as body size changes, so do other physiological, anatomical, and biochemical connections between the brain and body.[2] Small-bodied mammals tend to have relatively large brains compared to their bodies, while larger mammals (such as whales) have smaller brain-to-body ratios. When brain weight is plotted against body weight for primates, the regression line of the sample points can indicate the brain power of a species. For example, lemurs fall below this line, suggesting that for a primate of their size, a larger brain would be expected. In contrast, humans lie well above this line, indicating they are more encephalized than lemurs and, in fact, more encephalized than any other primate.[3] This suggests that human brains have undergone a larger evolutionary increase in complexity relative to size. Some of these changes have been linked to multiple genetic factors, including proteins and other organelles.

Early history

[edit]
Unsolved problem in biology
How and why did the brain evolve?

One approach to understanding overall brain evolution is to use a paleoarchaeological timeline to trace the necessity for ever-increasing complexity in structures that allow for chemical and electrical signaling. Because brains and other soft tissues do not fossilize as readily as mineralized tissues, scientists often look to other structures as evidence in the fossil record to get an understanding of brain evolution. This, however, leads to a dilemma as the emergence of organisms with more complex nervous systems with protective bone or other protective tissues that can then readily fossilize occur in the fossil record before evidence for chemical and electrical signaling.[4][5] Evidence from 2008 showed that the ability to transmit electrical and chemical signals existed even before more complex multicellular lifeforms.[4]

Fossilization of brain tissue, as well as other soft tissue, is nonetheless possible, and scientists can infer that the first brain structure appeared at least 521 million years ago, with fossil brain tissue present in sites of exceptional preservation.[6]

Another approach to understanding brain evolution is to look at extant organisms that do not possess complex nervous systems, comparing anatomical features that allow for chemical or electrical messaging. For example, choanoflagellates are organisms that possess various membrane channels that are crucial to electrical signaling. The membrane channels of choanoflagellates' are homologous to the ones found in animal cells, and this is supported by the evolutionary connection between early choanoflagellates and the ancestors of animals.[4] Another example of extant organisms with the capacity to transmit electrical signals would be the glass sponge, a multicellular organism, which is capable of propagating electrical impulses without the presence of a nervous system.[7]

Before the evolutionary development of the brain, nerve nets, the simplest form of a nervous system developed. These nerve nets were a sort of precursor for the more evolutionarily advanced brains. They were first observed in Cnidaria and consist of a number of neurons spread apart that allow the organism to respond to physical contact. They are able to rudimentarily detect food and other chemicals, but these nerve nets do not allow them to detect the source of the stimulus.

Ctenophores also demonstrate this crude precursor to a brain or centralized nervous system, however they phylogenetically diverged before the phylum Porifera (the Sponges) and Cnidaria. There are two current theories on the emergence of nerve nets. One theory is that nerve nets may have developed independently in Ctenophores and Cnidarians. The other theory states that a common ancestor may have developed nerve nets, but they were lost in Porifera. While comparing the average neuron size and the packing density the difference between primate and mammal brains is shown.[8]

A trend in brain evolution according to a study done with mice, chickens, monkeys and apes concluded that more evolved species tend to preserve the structures responsible for basic behaviors. A long term human study comparing the human brain to the primitive brain found that the modern human brain contains the primitive hindbrain region – what most neuroscientists call the protoreptilian brain. The purpose of this part of the brain is to sustain fundamental homeostatic functions, which are self regulating processes organisms use to help their bodies adapt. The pons and medulla are major structures found there. A new region of the brain developed in mammals about 250 million years after the appearance of the hindbrain. This region is known as the paleomammalian brain, the major parts of which are the hippocampi and amygdalas, often referred to as the limbic system. The limbic system deals with more complex functions including emotional, sexual and fighting behaviors. Of course, animals that are not vertebrates also have brains, and their brains have undergone separate evolutionary histories.[6]

The brainstem and limbic system are largely based on nuclei, which are essentially balled-up clusters of tightly packed neurons and the axon fibers that connect them to each other, as well as to neurons in other locations. The other two major brain areas (the cerebrum and cerebellum) are based on a cortical architecture. At the outer periphery of the cortex, the neurons are arranged into layers (the number of which vary according to species and function) a few millimeters thick. There are axons that travel between the layers, but the majority of axon mass is below the neurons themselves. Since cortical neurons and most of their axon fiber tracts do not have to compete for space, cortical structures can scale more easily than nuclear ones. A key feature of cortex is that because it scales with surface area, more of it can be fit inside a skull by introducing convolutions, in much the same way that a dinner napkin can be stuffed into a glass by wadding it up. The degree of convolution is generally greater in species with more complex behavior, which benefits from the increased surface area.

The cerebellum, or "little brain," is behind the brainstem and below the occipital lobe of the cerebrum in humans. Its purposes include the coordination of fine sensorimotor tasks, and it may be involved in some cognitive functions, such as language and different motor skills that may involve hands and feet. The cerebellum helps keep equilibrium. Damage to the cerebellum would result in all physical roles in life to be affected. Human cerebellar cortex is finely convoluted, much more so than cerebral cortex. Its interior axon fiber tracts are called the arbor vitae, or Tree of Life.

The area of the brain with the greatest amount of recent evolutionary change is called the neocortex. In reptiles and fish, this area is called the pallium and is smaller and simpler relative to body mass than what is found in mammals. According to research, the cerebrum first developed about 200 million years ago. It is responsible for higher cognitive functions—for example, language, thinking, and related forms of information processing.[9] It is also responsible for processing sensory input (together with the thalamus, a part of the limbic system that acts as an information router). The thalamus receives the different sensations before the information is then passed onto the cerebral cortex. Most of its function is subconscious, that is, not available for inspection or intervention by the conscious mind. The neocortex is an elaboration, or outgrowth, of structures in the limbic system, with which it is tightly integrated. The neocortex is the main part controlling many brain functions as it covers half of the whole brain in volume. The development of these recent evolutionary changes in the neocortex likely occurred as a result of new neural network formations and positive selections of certain genetic components.

Role of embryology

[edit]

In addition to studying the fossil record, evolutionary history can be investigated via embryology. An embryo is an unborn/unhatched animal and evolutionary history can be studied by observing how processes in embryonic development are conserved (or not conserved) across species. Similarities between different species may indicate evolutionary connection. One way anthropologists study evolutionary connection between species is by observing orthologs. An ortholog is defined as two or more homologous genes between species that are evolutionarily related by linear descent. By using embryology the evolution of the brain can be tracked between various species.

Bone morphogenetic protein (BMP), a growth factor that plays a significant role in embryonic neural development, is highly conserved amongst vertebrates, as is sonic hedgehog (SHH), a morphogen that inhibits BMP to allow neural crest development. Tracking these growth factors with the use of embryology provides a deeper understanding of what areas of the brain diverged in their evolution. Varying levels of these growth factors lead to differing embryonic neural development which then in turn affects the complexity of future neural systems. Studying the brain's development at various embryonic stages across differing species provides additional insight into what evolutionary changes may have historically occurred. This then allows scientists to look into what factors may have caused such changes, such as links to neural network diversity, growth factor production, protein- coding selections, and other genetic factors.

Randomizing access and increasing size

[edit]

Some animal phyla have gone through major brain enlargement through evolution (e.g. vertebrates and cephalopods both contain many lineages in which brains have grown through evolution) but most animal groups are composed only of species with extremely small brains. Some scientists[who?] argue that this difference is due to vertebrate and cephalopod neurons having evolved ways of communicating that overcome the scalability problem of neural networks while most animal groups have not. They argue that traditional neural networks fail to improve their function when scaled up because filtering based on previously known probabilities creates self-fulfilling prophecy-like biases. These biases generate false statistical evidence, producing a completely inaccurate worldview. In contrast, randomized access can overcome this problem, allowing brains to scale to more discriminating conditioned reflexes. This, in turn, can lead to new worldview-forming abilities once certain thresholds are reached. This means when neurons scale in a non randomized fashion that their functionality becomes more limited due to their neural networks being unable to process more complex systems without the exposure to new formations. This is explained by randomization allowing the entire brain to eventually get access to all information over the course of many shifts even though instant privileged access is physically impossible. They cite that vertebrate neurons transmit virus-like capsules containing RNA that are sometimes read in the neuron to which it is transmitted and sometimes passed further on unread which creates randomized access, and that cephalopod neurons make different proteins from the same gene which suggests another mechanism for randomization of concentrated information in neurons, both making it evolutionarily worth scaling up brains.[10][11][12]

Brain re-organization

[edit]

With the use of in vivo Magnetic resonance imaging (MRI) and tissue sampling, different cortical samples from members of each hominoid species were analyzed. In each species, specific areas were either relatively enlarged or shrunken, which can detail neural organizations. Different sizes in the cortical areas can show specific adaptations, functional specializations and evolutionary events that were changes in how the hominoid brain is organized. In early prediction it was thought that the frontal lobe, a large part of the brain that is generally devoted to behavior and social interaction, predicted the differences in behavior between hominoid and humans. Discrediting this theory was evidence supporting that damage to the frontal lobe in both humans and hominoids show atypical social and emotional behavior; thus, this similarity means that the frontal lobe was not very likely to be selected for reorganization. Instead, it is now believed that evolution occurred in other parts of the brain that are strictly associated with certain behaviors. The reorganization that took place is thought to have been more organizational than volumetric; whereas the brain volumes were relatively the same but specific landmark position of surface anatomical features, for example, the lunate sulcus suggest that the brains had been through a neurological reorganization.[13] There is also evidence that the early hominin lineage also underwent a quiescent period, or a period of dormancy, which supports the idea of neural reorganization.

Dental fossil records for early humans and hominins show that immature hominins, including australopithecines and members of Homo, have a quiescent period (Bown et al. 1987). A quiescent period is a period in which there are no dental eruptions of adult teeth; at this time the child becomes more accustomed to social structure, and development of culture. During this time the child is given an extra advantage over other hominoids, devoting several years into developing speech and learning to cooperate within a community.[14] This period is also discussed in relation to encephalization. It was discovered that chimpanzees do not have this neutral dental period, which suggests that a quiescent period occurred in very early hominin evolution. Using the models for neurological reorganization it can be suggested the cause for this period, dubbed middle childhood, is most likely for enhanced foraging abilities in varying seasonal environments.

Genetic factors in recent evolution

[edit]

Genes involved in the neuro-development and in neuron physiology are extremely conserved between mammalian species (94% of genes expressed in common between humans and chimpanzees, 75% between humans and mice), compared to other organs. Therefore, few genes account for species differences in the human brain development and function.[15]

Development of the human cerebral cortex

[edit]

Main differences rely on the evolution of non-coding genomic regions, involved in the regulation of gene expression. This leads to differential expression of genes during the development of the human brain compared to other species, including chimpanzees. Some of these regions evolved fast in the human genome (human accelerated regions). The new genes expressed during human neurogenesis are notably associated with the NOTCH, WNT and mTOR pathways, but are also involved ZEB2, PDGFD and its receptor PDGFRβ. The human cerebral cortex is also characterized by a higher gradient of retinoic acid in the prefrontal cortex, leading to higher prefrontal cortex volume. All these differential gene expression lead to higher proliferation of the neural progenitors leading to more neurons in the human cerebral cortex. Some genes are lost in their expression during the development of the human cerebral cortex like GADD45G and FLRT2/FLRT3.[15]

Another source of molecular novelty rely on new genes in the human or hominid genomes through segmental duplication. Around 30 new genes in the hominid genomes are dynamically expressed during human corticogenesis. Some were linked to higher proliferation of neural progenitors: NOTCH2NLA/B/C, ARHGAP11B, CROCCP2, TBC1D3, TMEM14B. Patients with deletions with NOTCH2NL genes display microcephaly, showing the necessity of such duplicated genes, acquired in the human genomes, in the proper corticogenesis.[15]

MCPH1 and ASPM

[edit]

Bruce Lahn, the senior author at the Howard Hughes Medical Center at the University of Chicago and colleagues have suggested that there are specific genes that control the size of the human brain. These genes continue to play a role in brain evolution, implying that the brain is continuing to evolve. The study began with the researchers assessing 214 genes that are involved in brain development. These genes were obtained from humans, macaques, rats and mice. Lahn and the other researchers noted points in the DNA sequences that caused protein alterations. These DNA changes were then scaled to the evolutionary time that it took for those changes to occur. The data showed the genes in the human brain evolved much faster than those of the other species. Once this genomic evidence was acquired, Lahn and his team decided to find the specific gene or genes that allowed for or even controlled this rapid evolution. Two genes were found to control the size of the human brain as it develops. These genes are Microcephalin (MCPH1) and Abnormal Spindle-like Microcephaly (ASPM). The researchers at the University of Chicago were able to determine that under the pressures of selection, both of these genes showed significant DNA sequence changes. Lahn's earlier studies displayed that Microcephalin experienced rapid evolution along the primate lineage which eventually led to the emergence of Homo sapiens. After the emergence of humans, Microcephalin seems to have shown a slower evolution rate. On the contrary, ASPM showed its most rapid evolution in the later years of human evolution once the divergence between chimpanzees and humans had already occurred.[16]

Each of the gene sequences went through specific changes that led to the evolution of humans from ancestral relatives. In order to determine these alterations, Lahn and his colleagues used DNA sequences from multiple primates then compared and contrasted the sequences with those of humans. Following this step, the researchers statistically analyzed the key differences between the primate and human DNA to come to the conclusion, that the differences were due to natural selection. The changes in DNA sequences of these genes accumulated to bring about a competitive advantage and higher fitness that humans possess in relation to other primates. This comparative advantage is coupled with a larger brain size which ultimately allows the human mind to have a higher cognitive awareness.[17]

ZEB2 protein

ZEB2

[edit]

ZEB2 is a protein- coding gene in the Homo sapien species. A 2021 study found that a delayed change in the shape of early brain cells causes the distinctly large human forebrain compared to other apes and identify ZEB2 as a genetic regulator of it, whose manipulation lead to acquisition of nonhuman ape cortical architecture in brain organoids.[18][19]

NOVA1

[edit]

In 2021, researchers reported that brain organoids created with stem cells into which they reintroduced the archaic gene variant NOVA1 present in Neanderthals and Denisovans via CRISPR-Cas9 shows that it has a major impact on neurodevelopment and that such genetic mutations during the evolution of the human brain underlie traits that separate modern humans from extinct Homo species. They found that expression of the archaic NOVA1 in cortical organoids leads to "modified synaptic protein interactions, affects glutamatergic signaling, underlies differences in neuronal connectivity, and promotes higher heterogeneity of neurons regarding their electrophysiological profiles".[20][21] This research suggests positive selection of the modern NOVA1 gene, which may have promoted the randomization of neural scaling. A subsequent study failed to replicate the differences in organoid morphology between the modern human and the archaic NOVA1 variant,[22] consistent with suspected unwanted side effects of CRISPR editing in the original study.[23][24]

SRGAP2C and neuronal maturation

[edit]

Less is known about neuronal maturation. Synaptic gene and protein expression are protracted, in line with the protracted synaptic maturation of human cortical neurons so called neoteny. This probably relies on the evolution of non-coding genomic regions. The consequence of the neoteny could be an extension of the period of synaptic plasticity and therefore of learning. A human-specific duplicated gene, SRGAP2C accounts for this synaptic neoteny and acts by regulating molecular pathways linked to neurodevelopmental disorders.[25] Other genes are deferentially expressed in human neurons during their development such as osteocrin or cerebelin-2 .[26]

LRRC37B and neuronal electrical properties

[edit]

Even less is known about molecular specificities linked to the physiology of the human neurons. Human neurons are more divergent in the genes they express compared to chimpanzees than chimpanzees to gorilla, which suggests an acceleration of non-coding genomic regions associated with genes involved in neuronal physiology, in particular linked to the synapses.[27] A hominid-specific duplicated gene, LRRC37B, codes for a transmembrane receptor that is selectively localized at the axon initial segment of human cortical pyramidal neurons.[28] It inhibits their voltage-gated sodium channels that generate the action potentials leading to a lower neuronal excitability. Human cortical pyramidal neurons display a lower excitability compared to other mammalian species (including macaques and marmosets) which could lead to different circuit functions in the human species.[29] Therefore, LRRC37B whose expression has been acquired in the human lineage after the separation from the chimpanzees could be a key gene in the function of the human cerebral cortex. LRRC37B binds to secreted FGF13A and SCN1B and modulate indirectly the activity of SCN8A,[28] all involved in neural disorders such as epilepsy and autism. Therefore, LRRC37B may contribute to human-specific sensitivities to such disorders, both involved defects in neuronal excitability.

Genome repair

[edit]

The genomic DNA of postmitotic neurons ordinarily does not replicate. Protection strategies have evolved to ensure the distinctive longevity of the neuronal genome. Human neurons are reliant on DNA repair processes to maintain function during an individual's life-time. DNA repair tends to occur preferentially at evolutionarily conserved sites that are specifically involved with the regulation of expression of genes essential for neuronal identity and function.[30]

Other factors

[edit]

Many other genetics may also be involved in recent evolution of the brain.

  • For instance, scientists showed experimentally, with brain organoids grown from stem cells, how differences between humans and chimpanzees are also substantially caused by non-coding DNA (often discarded as relatively meaningless "junk DNA") – in particular via CRE-regulated expression of the ZNF558 gene for a transcription factor that regulates the SPATA18 gene.[31][32] SPATA18 gene encodes a protein and is able to influence lysosome-like organelles that are found within mitochondria that eradicate oxidized mitochondrial proteins. This helps monitor the quality of the mitochondria as the disregulation of its quality control has been linked to cancer and degenerative diseases.[33] This example may contribute to illustrations of the complexity and scope of relatively recent evolution to Homo sapiens.[34]
  • A change in gene TKTL1 could be a key factor of recent brain evolution and difference of modern humans to (other) apes and Neanderthals, related to neocortex-neurogenesis.[35][36] However, the "archaic" allele attributed to Neanderthals is present in 0.03% of Homo sapiens, but no resultant phenotypic differences have been reported in these people.[37] Additionally, as Herai et al. contend, more is not always better. In fact, enhanced neuron production "can lead to an abnormally enlarged cortex and layer-specific imbalances in glia/neuron ratios and neuronal subpopulations during neurodevelopment."[37][38][39] Even the original study's authors agree that "any attempt to discuss prefrontal cortex and cognitive advantage of modern humans over Neandertals based on TKTL1 alone is problematic".[40]
  • Some of the prior study's authors reported a similar ARHGAP11B mutation in 2016.[41][42]
  • Epigenetics also play a major role in the brain evolution in and to humans.[43][further explanation needed]

Recently evolved traits

[edit]
Language

A genome-wide association study meta-analysis reported genetic factors of, the so far uniquely human, language-related capacities, in particular factors of differences in skill-levels of five tested traits. It e.g. identified association with neuroanatomy of a language-related brain area via neuroimaging correlation. The data contributes to identifying or understanding the biological basis of this recently evolved characteristic capability.[44][45]

Human brain

[edit]

One of the prominent ways of tracking the evolution of the human brain is through direct evidence in the form of fossils. The evolutionary history of the human brain shows primarily a gradually bigger brain relative to body size during the evolutionary path from early primates to hominids and finally to Homo sapiens. Because fossilized brain tissue is rare, a more reliable approach is to observe anatomical characteristics of the skull that offer insight into brain characteristics. One such method is to observe the endocranial cast (also referred to as endocasts). Endocasts occur when, during the fossilization process, the brain deteriorates away, leaving a space that is filled by surrounding sedimentary material over time. These casts, give an imprint of the lining of the brain cavity, which allows a visualization of what was there.[46][47] This approach, however, is limited in regard to what information can be gathered. Information gleaned from endocasts is primarily limited to the size of the brain (cranial capacity or endocranial volume), prominent sulci and gyri, and size of dominant lobes or regions of the brain.[48][49] While endocasts are extremely helpful in revealing superficial brain anatomy, they cannot reveal brain structure, particularly of deeper brain areas. By determining scaling metrics of cranial capacity as it relates to total number of neurons present in primates, it is also possible to estimate the number of neurons through fossil evidence.[50]

Facial reconstruction of a Homo georgicus from over 1.5 Mya

Despite the limitations to endocasts, they can and do provide a basis for understanding human brain evolution, which shows primarily a gradually bigger brain. The evolutionary history of the human brain shows primarily a gradually bigger brain relative to body size during the evolutionary path from early primates to hominins and finally to Homo sapiens. This trend that has led to the present day human brain size indicates that there has been a 2-3 factor increase in size over the past 3 million years.[49] This can be visualized with current data on hominin evolution, starting with Australopithecus, a group of hominins from which humans are likely descended.[51] After all of the data, all observations concluded that the main development that occurred during evolution was the increase of brain size.[52]

However, recent research has called into question the hypothesis of a threefold increase in brain size when comparing Homo sapiens with Australopithecus and chimpanzees. For example, in an article published in 2022 compiled a large data set of contemporary humans and found that the smallest human brains are less than twice that of large brained chimpanzees. As the authors write '...the upper limit of chimpanzee brain size is 500g/ml yet numerous modern humans have brain size below 900 g/ml.'[53] (Note that in this quote, the unit g/ml is to be understood not in the usual way as gram per millilitre but rather as gram or millilitre. This is consistent because brain density is close to 1 g/ml.) Consequently, the authors argue that the notion of an increase in brain size being related to advances in cognition needs to be re-thought in light of global variation in brain size, as the brains of many modern humans with normal cognitive capacities are only 400g/ml larger than chimpanzees. Additionally, much of the increase in brain size - which occurs to a much greater degree in specific modern populations - can be explained by increases in correlated body size related to diet and climatic factors.[53]

Australopiths lived from 3.85 to 2.95 million years ago with the general cranial capacity somewhere near that of the extant chimpanzee—around 300–500 cm3.[54][55] Considering that the volume of the modern human brain is around 1,352 cm3 on average this represents a substantial amount of brain mass evolved.[56] Australopiths are estimated to have a total neuron count of ~30-35 billion.[50]

Progressing along the human ancestral timeline, brain size continues to steadily increase (see Homininae) when moving into the era of Homo. For example, Homo habilis, living 2.4 million to 1.4 million years ago and argued to be the first Homo species based on a host of characteristics, had a cranial capacity of around 600 cm3.[57] Homo habilis is estimated to have had ~40 billion neurons.[50]

A little closer to present day, Homo heidelbergensis lived from around 700,000 to 200,000 years ago and had a cranial capacity of around 1290 cm3[57] and having around 76 billion neurons.[50]

Homo neaderthalensis, living 400,000 to 40,000 years ago, had a cranial capacity comparable to that of modern humans at around 1500–1600 cm3on average, with some specimens of Neanderthal having even greater cranial capacity.[58][59] Neanderthals are estimated to have had around 85 billion neurons.[50] The increase in brain size topped with Neanderthals, possibly due to their larger visual systems.[60]

It is also important to note that the measure of brain mass or volume, seen as cranial capacity, or even relative brain size, which is brain mass that is expressed as a percentage of body mass, are not a measure of intelligence, use, or function of regions of the brain.[50] Total neurons, however, also do not indicate a higher ranking in cognitive abilities. Elephants have a higher number of total neurons (257 billion)[61] compared to humans (100 billion).[62][63] Relative brain size, overall mass, and total number of neurons are only a few metrics that help scientists follow the evolutionary trend of increased brain to body ratio through the hominin phylogeny.

In 2021, scientists suggested that the brains of early Homo from Africa and Dmanisi, Georgia, Western Asia "retained a great ape-like structure of the frontal lobe" for far longer than previously thought – until about 1.5 million years ago. Their findings imply that Homo first dispersed out of Africa before human brains evolved to roughly their modern anatomical structure in terms of the location and organization of individual brain regions. It also suggests that this evolution occurred – not during – but only long after the Homo lineage evolved ~2.5 million years ago and after they – Homo erectus in particular – evolved to walk upright.[64][65][66] What is the least controversial is that the brain expansion started about 2.6 Ma (about the same as the start of the Pleistocene), and ended around 0.2 Ma.

Evolution of the neocortex

[edit]

In addition to just the size of the brain, scientists have observed changes in the folding of the brain, as well as in the thickness of the cortex. The more convoluted the surface of the brain is, the greater the surface area of the cortex which allows for an expansion of cortex. It is the most evolutionarily advanced part of the brain.[67] Greater surface area of the brain is linked to higher intelligence as is the thicker cortex but there is an inverse relationship—the thicker the cortex, the more difficult it is for it to fold. In adult humans, thicker cerebral cortex has been linked to higher intelligence.[67]

The neocortex is the most advanced and most evolutionarily young part of the human brain. It is six layers thick and is only present in mammals. It is especially prominent in humans and is the location of most higher level functioning and cognitive ability.[68] The six-layered neocortex found in mammals is evolutionarily derived from a three-layer cortex present in all modern reptiles.[69] This three-layer cortex is still conserved in some parts of the human brain such as the hippocampus and is believed to have evolved in mammals to the neocortex during the transition between the Triassic and Jurassic periods.[69][68] After looking at history, the mammals had little neocortex compared to the primates as they had more cortex.[70] The three layers of this reptilian cortex correlate strongly to the first, fifth and sixth layers of the mammalian neocortex.[71] Across species of mammals, primates have greater neuronal density compared to rodents of similar brain mass and this may account for increased intelligence.[68]

Theories of human brain evolution

[edit]

Explanations of the rapid evolution and exceptional size of the human brain can be classified into five groups: instrumental, social, environmental, dietary, and anatomo-physiological. The instrumental hypotheses[72] are based on the logic that evolutionary selection for larger brains is beneficial for species survival, dominance, and spread, because larger brains facilitate food-finding and mating success. The social hypotheses[72] suggest that social behavior stimulates evolutionary expansion of brain size.[73] Similarly, the environmental hypotheses suppose that encephalization is promoted by environmental factors such as stress, variability, and consistency.[74] The dietary theories maintain that food quality and certain nutritional components directly contributed to the brain growth in the Homo genus.[75] The anatomo-physiologic concepts, such as cranio-cerebral vascular hypertension due to head-down posture of the anthropoid fetus during pregnancy, are primarily focused on anatomic-functional changes that predispose to brain enlargement.

No single theory can completely account for human brain evolution. Multiple selective pressures in combination seems to have been involved.[76] Synthetic theories have been proposed,[77] but have not clearly explained reasons for the uniqueness of the human brain. Puzzlingly, brain enlargement has been found to have occurred independently in different primate lineages,[78] but only human lineage ended up with an exceptional brain capacity. Fetal head-down posture may be an explanation of this conundrum [1] because Homo sapiens is the only primate obligatory biped with upright posture.

See also

[edit]

References

[edit]

Further reading

[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
The evolution of the brain traces the transformation of nervous systems across billions of years, beginning with diffuse nerve nets in early multicellular animals around 600 million years ago and progressing to centralized brains in bilaterians, culminating in the complex, modular architectures of brains that support advanced , , and . This process reflects adaptations to environmental pressures, such as predation, , and social interactions, resulting in conserved core structures like the and alongside species-specific expansions, particularly in the and of mammals. In , nervous systems vary widely, from simple nerve nets in cnidarians like to condensed ganglia and rudimentary s in arthropods and mollusks, enabling basic sensory-motor coordination without a centralized vertebrate-style . The transition to s, emerging over 500 million years ago during the period, introduced a tripartite organization— (prosencephalon), (mesencephalon), and (rhombencephalon)—with the handling integration of sensory inputs and the regulating vital functions like respiration and heartbeat. Across vertebrate classes, this architecture remains highly conserved, as evidenced by shared connectional systems involving the , , and , which facilitate crosstalk between , motivation, and action across fishes, amphibians, reptiles, birds, and mammals. Mammalian brain evolution built on this foundation through significant expansions in the neocortex, a six-layered structure in the forebrain pallium that emerged prominently after the divergence from reptilian lineages around 300 million years ago, enabling enhanced associative learning and sensory integration. In primates, further neocortical enlargement occurred over the last 60 million years, with relative increases in frontal and parietal lobes supporting tool use and social cognition. Human brain evolution accelerated particularly in the genus Homo over the past 2 million years, tripling in size to approximately 1,400 grams compared to great apes, driven by genetic changes in synaptic plasticity and dopamine signaling, alongside cultural and ecological pressures that favored abstract thinking and language. These developments underscore how brain evolution balances energetic costs—human brains consume about 20% of the body's energy despite comprising only 2% of body mass—with gains in behavioral flexibility.

Early Evolution

Invertebrate Nervous Systems

The nervous systems of represent the foundational stages in the of neural organization, beginning with diffuse networks and progressing to more centralized structures that enabled coordinated behaviors. In cnidarians, such as and sea anemones, the earliest known nervous systems emerged approximately 600 million years ago during the period, shortly after the divergence of cnidarians from the bilaterian lineage. These systems consist of simple nerve nets—diffuse arrays of interconnected neurons lacking centralization—that facilitate basic sensory-motor integration, such as coordinating pulsatile swimming or prey capture through epithelial conduction and synaptic transmission. This primitive architecture, conserved in modern cnidarians, underscores the monophyletic origin of neurons, with genetic evidence indicating that pathways involving proneural genes like Achaete-Scute homologs were already present in this basal metazoan group. A key evolutionary transition occurred with the development of centralized ganglia in more derived , particularly in platyhelminths (flatworms) and annelids (segmented worms), which allowed for enhanced coordination of locomotion and . In flatworms, the evolved from an orthogon—a lattice of longitudinal and circular cords—into paired cerebral ganglia forming a bilobed , with ventral cords featuring commissures and connectives for segmental integration. This organization, observed across polyclad , varies in complexity: acotyleans exhibit encapsulated brains with prominent globuli cell masses serving as sensory association centers, while cotyleans show more compact, less defined structures adapted to interstitial habitats. Similarly, annelids display a ventral cord with repeated segmental ganglia, each containing motor and that coordinate peristaltic movement and arcs, representing an independent evolution of ladder-like centralization from diffuse precursors. Fossil evidence from the biota, including trace fossils suggestive of motile bilaterians around 565 million years ago, supports this shift from nets to ganglionated systems, marking the rise of bilaterian body plans with anterior-posterior polarization. Advanced invertebrate brains further diversified in arthropods and cephalopods, showcasing specialized regions for learning and complex behaviors. In arthropods, particularly insects, the brain includes prominent mushroom bodies—paired neuropils composed of densely packed Kenyon cells—that integrate olfactory, visual, and mechanosensory inputs to support associative learning and memory formation. These structures, primitive in basal insects like dragonflies (lacking calyces) but elaborated in neopterans such as flies and bees, evolved through expansion of calyces for multimodal sensory processing, enabling adaptive behaviors like foraging and navigation. Cephalopods, notably octopuses, exhibit a uniquely distributed brain architecture with over 30 lobes encircling the esophagus, where the supraesophageal mass handles higher cognition and the subesophageal mass controls arm movements. The vertical lobe, comprising about 14% of the brain mass with over 25 million neurons, functions in visual learning and memory, while basal and peduncle lobes regulate motor coordination and habituation, allowing sophisticated camouflage and problem-solving independent of a single centralized command center. Across these phyla, reveals conserved molecular components underpinning neural function, including ion channels and neurotransmitters that facilitated evolutionary innovations. Voltage-gated potassium channels (Kv) and glutamate-gated channels expanded independently in cnidarians, annelids, and arthropods, enabling rapid synaptic signaling and propagation essential for coordinated responses. Neurotransmitters like glutamate and , along with ligand-gated ion channels such as Cys-loop receptors, are broadly conserved, reflecting of core excitatory and inhibitory mechanisms that predate bilaterian diversification. These shared elements highlight how incremental genetic expansions built upon ancient foundations to yield the diverse invertebrate nervous systems that preceded vertebrate centralization.

Vertebrate Brain Origins

The vertebrate brain emerged during the period approximately 520 million years ago, evolving from the simple of early ancestors, which represented a centralized nervous structure distinct from the ventral nerve cords and decentralized ganglia seen in many . evidence from this era, such as imprints in the Early fish (dating to ~520 million years ago), reveals a basic with a region housing optic and auditory capsules, suggesting an early tripartite brain organization and indicating early specialization for . These from the Chengjiang biota in provide direct evidence of the initial centralization of neural tissue into a tubular brain along the , marking a key innovation in evolution. In extant agnathan fishes, such as lampreys and hagfish, this tripartite structure—comprising a forebrain (prosencephalon) for neuroendocrine regulation, a midbrain (mesencephalon) for sensory integration, and a hindbrain (rhombencephalon) for motor control—persists as the foundational vertebrate brain plan, originating around 500 million years ago. Lampreys, in particular, exhibit a well-developed version of this arrangement, with the forebrain including hypothalamic structures, the midbrain featuring an optic tectum for visual processing, and the hindbrain segmented into rhombomeres that facilitate regional specialization and patterning of cranial nerves. The optic tectum, an evolutionary innovation in the midbrain, processes retinotopic visual maps and integrates multisensory inputs to guide orienting behaviors, a function conserved across early vertebrates. Rhombomeres in the hindbrain, transient compartments formed during embryogenesis, enable precise segmentation and Hox gene-mediated patterning, supporting the diversification of hindbrain functions like respiration and balance. The plays a pivotal role in the embryological origins of this brain structure, acting as an inductive signaling center that triggers formation in the dorsal ectoderm of embryos, thereby establishing the bilateral symmetry and anteroposterior axis of the . This induction process, mediated by diffusible factors like Sonic hedgehog from the notochord and floor plate, patterns the into distinct , , and domains, a mechanism conserved across vertebrates since their divergence. Comparative analyses show progressive increases in brain-to-body size ratios from , which have the minimal encephalization among vertebrates (brain mass approximately 0.1% of body mass), to lampreys (around 0.5%), and further to early jawed fishes, reflecting enhanced neural investment tied to sensory and behavioral complexity.

Principles of Brain Evolution

Embryological Conservation

Embryological conservation in brain evolution underscores the shared developmental blueprints that have persisted across species, highlighting how ancient genetic and cellular mechanisms underpin the diversification of neural structures. These conserved processes, studied through (evo-devo), demonstrate that while brain morphologies vary dramatically—from the simple neural tubes of early vertebrates to the complex cortices of mammals—the underlying embryonic patterning remains remarkably stable, allowing for incremental evolutionary changes without disrupting core functionality. A key example of this conservation is the role of clusters in establishing the anterior-posterior (A-P) axis of the brain, a regulatory system inherited from ancestors. In s, are organized into clusters that direct segmental identity along the , with anterior influencing and regions while posterior genes pattern the . This collinear expression—where genes are activated in sequence matching their chromosomal order—originated in homologs and has been maintained through genome duplications in early evolution, enabling the precise regionalization of the from to mammals. Another vertebrate-specific innovation conserved in embryogenesis is the , a transient population of multipotent cells arising at the dorsal that migrates to form diverse structures, including , ganglia, and sensory components like the peripheral . Unique to vertebrates, the evolved as an enhancing head complexity, contributing to the of jaws, teeth, and advanced sensory organs by providing a source of migratory cells that integrate with the . This process is highly conserved, with neural crest derivatives showing similar contributions to craniofacial and neural structures across species, from lampreys to humans, illustrating how a single embryonic module facilitated major evolutionary leaps. Ventral-dorsal patterning of the neural tube, essential for specifying neuronal subtypes, relies on conserved signaling gradients such as that of Sonic hedgehog (Shh), secreted from the and floor plate. Shh acts as a , creating a concentration gradient that induces ventral identities in a dose-dependent manner, from floor plate cells at high levels to motor neurons at intermediate concentrations, a mechanism preserved across taxa. This signaling pathway, evolved in early chordates, ensures reproducible dorsoventral organization during embryogenesis, with disruptions leading to patterning defects that underscore its evolutionary stability. Evo-devo principles, particularly —the shift in timing or rate of developmental events—further explain how embryological conservation drives brain region diversification while maintaining core plans. For instance, delays or accelerations in the onset of neural progenitor proliferation can lead to relative expansions or contractions of specific areas, as seen in the prolonged in mammalian forebrains compared to other vertebrates. Such heterochronic changes, operating within conserved embryonic frameworks, allow for evolutionary novelty without altering fundamental patterning genes, contributing to the modular evolution of brain structures. These mechanisms are exemplified by the conserved primary brain vesicles: the prosencephalon (), mesencephalon (), and rhombencephalon (), which form early in development and persist from basal vertebrates like to advanced mammals. In and mice, for example, these vesicles subdivide similarly into secondary structures, with the prosencephalon giving rise to telencephalon and across species, reflecting a shared embryonic ground plan that accommodates evolutionary expansions in and .

Brain Size Expansion

Brain size in vertebrates has expanded progressively through allometric scaling, where brain mass generally increases with body size but at a slower rate, following a relationship with an exponent of approximately 0.67. This scaling is quantified by the (EQ), defined as the ratio of a ' actual brain mass to the expected brain mass based on body size regressions derived from comparative data across vertebrates. The EQ adjusts for somatic demands, highlighting deviations that may reflect cognitive enhancements, with average values normalized to 1 for mammals. Key drivers of brain size expansion include metabolic constraints, as outlined in the expensive tissue hypothesis, which posits that the high energy cost of neural tissue—accounting for about 20% of in humans despite comprising only 2% of body mass—necessitates trade-offs with other costly organs like the gut. In and other lineages, reductions in digestive tract size enabled energy reallocation to support larger brains, particularly under diets allowing efficient nutrient extraction. Social complexity further propelled expansion via the social brain hypothesis, where larger group sizes and intricate interactions demand enhanced neural processing for , as seen in where neocortical volume correlates with group size. Environmental pressures, such as variable demands and predation risks, also contributed by favoring individuals with improved sensory integration and decision-making capabilities. Examples illustrate this progression: reptilian brains typically exhibit low EQ values around 0.1, reflecting minimal deviation from allometric expectations suited to basic reflexes and . In contrast, avian lineages show notable expansions, with corvids achieving EQs up to approximately 2.5—comparable to some great apes—through dense neuronal packing in the that supports tool use and problem-solving. Mammalian growth further amplifies this, with cetaceans reaching EQs of 4–5, driven by aquatic and echolocation needs. These shifts often accompany neural reorganization, such as cortical folding, to optimize function within expanded volumes. At the cellular level, brain size increases stem from elevated neurogenesis rates during development, where neural progenitor cells undergo more symmetric divisions to amplify progenitor pools before asymmetric neurogenic divisions produce neurons. Glial cell proliferation also plays a critical role, as non-neuronal cells support larger neuronal networks by providing metabolic aid and insulation; in scaling from small to large brains, glia-to-neuron ratios rise, reaching over 1:1 in humans compared to lower ratios in smaller vertebrates. This glial expansion facilitates connectivity in bigger brains without proportional metabolic overload. Fossil records reveal a gradual EQ increase starting from early tetrapods around 300 million years ago, when brain-to-body ratios were low (EQ <0.5), indicative of amphibian-like simplicity. Over evolution, pulses of encephalization occurred, culminating in cetaceans where EQ surged during the Eocene (about 50–34 million years ago), with basilosaurids showing early expansions linked to fully aquatic lifestyles, reaching modern odontocete levels of 3–5 by the . This trend underscores for larger brains amid ecological transitions.

Neural Reorganization

Neural reorganization in brain evolution refers to the adaptive of neural architectures across taxa, enhanced functional efficiency through modular adjustments rather than uniform expansion. This process allows specific brain regions to evolve independently, optimizing , integration, and behavioral adaptability in response to ecological demands. Such reorganizations often involve shifts in connectivity patterns and laminar organization, facilitating more sophisticated information processing without proportional increases in overall brain volume. A key feature of neural reorganization is , where individual brain components evolve at different rates to suit niche-specific needs. For instance, in , the has undergone significant reduction as visual and tactile processing became prioritized, reflecting a shift away from reliance on olfaction in diurnal, fruit-foraging lifestyles. This independent scaling of sensory regions exemplifies how mosaic changes allow for targeted enhancements in cognitive specialization across lineages. In mammals, cortical folding, or , represents a prominent reorganization that increases surface area to accommodate more neurons within a constrained volume. Gyrification emerges from mechanical instabilities driven by differential tangential expansion of the cortical gray matter relative to underlying , resulting in the formation of gyri and sulci. This folding pattern varies across , with higher degrees observed in large-brained mammals like cetaceans and , enhancing computational capacity through denser packing of neural elements. Seminal studies highlight that gyrification scales nonlinearly with but is modulated by developmental constraints, allowing for efficient reorganization in response to selective pressures. The transition to neocortical dominance in mammals illustrates a profound shift in cortical organization from ancestral . Early mammals possessed a dominated by a large and (), with a rudimentary forming only a small dorsal cap. Over evolutionary time, the six-layered expanded and assumed primary roles in sensory integration and higher cognition, supplanting the olfactory system's precedence as ecological niches favored visual and somatosensory modalities. This reorganization underscores the 's emergence as a versatile platform for adaptive neural circuits in mammals. Connectivity changes further drive neural reorganization, particularly through the proliferation of long-range projections that enhance global integration. In birds and mammals, these projections form dense networks linking distant regions, enabling rapid cross-modal processing and complex behaviors such as tool use or social coordination. Unlike the more localized connections in reptiles, avian and mammalian pallial circuits exhibit increased interhemispheric and intra-hemispheric linkages, supporting of cognitive abilities despite divergent . Genetic factors, such as those regulating axonal guidance, briefly underpin this modularity without dictating it exclusively. Comparative laminar organization highlights evolutionary divergences in cortical structure. Reptilian cortices typically feature a three-layered with simpler cellular arrangements suited to basic sensory-motor functions, whereas mammalian neocortices display a characteristic six-layered that segregates excitatory and inhibitory neurons into distinct lamina for refined processing. This laminar expansion likely arose from modifications in , allowing mammals to achieve greater functional specialization. In cetaceans, modular hubs within the insular and association cortices exemplify advanced reorganization, where repeated structural modules support echolocation and , adapting to aquatic environments through enhanced interconnectivity.

Genetic Mechanisms

Conserved Developmental Genes

The evolution of the brain across animal phyla relies on a shared genetic toolkit of conserved developmental genes that orchestrate fundamental processes such as patterning, proliferation, and differentiation. These genes, often originating from ancient bilaterian ancestors, have been maintained with remarkable fidelity despite the diversification of neural architectures, enabling the repurposing of core mechanisms in increasingly complex . Comparative genomics reveals that many of these genes are expressed in the developing of distantly related species, underscoring their role in establishing the basic blueprint of brain formation. Homeobox genes, a class of transcription factors containing a DNA-binding homeodomain, exemplify this conservation and are pivotal for regional patterning in the and sensory structures. The gene, in particular, functions as a master regulator of eye and development, with homologs capable of inducing ectopic eye formation across and vertebrates, from to mammals. This conservation extends to brain patterning, where delineates regions and influences neuronal identity in both and jawless vertebrates like lampreys, which possess multiple paralogs reflecting early duplications. Such shared roles highlight how genes provided a foundational framework for neural diversification from the urbilaterian ancestor.01776-X) Signaling pathways involving Wnt and (FGF) ligands further illustrate this ancient toolkit, promoting proliferation and differentiation in the across metazoans. Wnt signaling, evolutionarily preserved from cnidarians to vertebrates, regulates the expansion of neural stem cells and the specification of domains, often in concert with BMP and FGF cues to pattern the cortical hem and adjacent neuroepithelium. Similarly, FGF pathways drive early patterning and sustain progenitor pools in the developing , with multiple FGF family members exhibiting conserved expression gradients that guide rostrocaudal axis formation in , amphibians, and mammals. These pathways' stability allows for modular adaptations in brain size and organization without disrupting core developmental logic.00678-7) MicroRNAs (miRNAs), small non-coding RNAs that fine-tune post-transcriptionally, also contribute to conserved aspects of development, particularly in regulating the timing and precision of neuronal migration. For instance, miR-9, an ancient miRNA family predating divergence, modulates by repressing proliferation-promoting factors in neural progenitors across , ensuring timely differentiation during cortical layering. Other miRNAs, such as let-7 and miR-124, exhibit similar conserved functions in promoting neuronal maturation and migration in both and models, acting as rheostats to balance cell fate transitions. This regulatory layer enhances the robustness of developmental programs, allowing evolutionary innovations while preserving essential neural connectivity. Comparative genomic analyses underscore the broad conservation of these genes, with approximately 90% of human and mouse genomic regions showing synteny, and orthologous brain-expressed genes displaying high sequence identity—often over 78% at the level—facilitating functional equivalence in neural development. This stability is evident in the gene family, transcription factors duplicated early in through genome-wide events that paralleled Hox cluster expansions. In lampreys and jawed vertebrates, paralogs (e.g., Dlx1/2, Dlx5/6) exhibit subfunctionalization, where tandem and larger-scale duplications enabled specialized roles in patterning, particularly the diversification of in the and cortex. These duplications thus provided raw material for increasing complexity without altering the ancestral genetic framework. Recent lineage-specific modifications to these conserved genes have further tuned in .

Recent Genetic Changes

In the last 100 million years, genetic changes have significantly contributed to brain diversification among mammals and , particularly through mechanisms such as duplications, regulatory modifications, and horizontal transfers that enhanced neural complexity and adaptability. During the period (66-23 million years ago), bursts of genetic diversification coincided with the of mammals into diverse ecological niches following the Cretaceous-Paleogene extinction event, enabling adaptations like expanded and social behaviors in early . This era saw rapid evolutionary shifts in families related to neural development, with emerging around 60-80 million years ago and undergoing further genomic innovations that supported larger sizes relative to body mass. A prominent example of is the human-specific ARHGAP11B , which arose via partial duplication of ARHGAP11A on the hominin lineage approximately 5 million years ago, promoting the expansion of basal progenitors in the . This increases the abundance of basal radial , key progenitors for neocortical folding and size, by enhancing glutaminolysis and cell proliferation without inducing . Experimental introduction of ARHGAP11B into or developing brains recapitulates human-like increases in progenitor cells, underscoring its role in cortical expansion during recent primate evolution. Regulatory changes, such as the of enhancers and paralog duplications affecting NOTCH2 signaling, have also driven increases in neuronal density and cortical in hominins. Human-specific NOTCH2NL genes, tandem duplications of NOTCH2 segments, enhance self-renewal and clonal expansion in the ventricular zone, leading to higher neuronal output compared to other . These paralogs activate Notch signaling to delay differentiation, thereby amplifying the progenitor pool during fetal brain development. Horizontal gene transfer from viruses, particularly through endogenous retroviruses (ERVs), influenced early mammalian brain evolution by integrating regulatory elements that modulated neural . In placental mammals, ancient retroviral integrations around 100 million years ago contributed to genomic innovations, including the co-option of viral envelope genes like syncytins for fusion, indirectly supporting the energetic demands of enlarging brains in emerging lineages. More recent ERV insertions in genomes have been linked to altered expression of genes involved in and cortical layering. Comparative genomic studies highlight fixed mutations in the gene that convergently supported vocalization abilities in songbirds and humans, reflecting for complex learned communication. In the human lineage, two substitutions in FOXP2 occurred after the divergence from chimpanzees around 6 million years ago, enhancing its regulatory function in striatal circuits critical for of speech. Similarly, songbirds exhibit in FOXP2 within vocal learning pathways, with knockdown experiments showing disrupted song imitation, mirroring human speech deficits from FOXP2 mutations. These changes underscore FOXP2's role in refining neural circuits for sequenced vocal behaviors across distantly related vocal learners.

Human-Specific Genetic Factors

Human-specific genetic factors have played a pivotal role in the rapid evolution of the brain over the approximately 6 million years since divergence from the lineage, contributing to increased cortical , , and cognitive capacities. These factors include gene duplications, copy number variations, and adaptive that emerged uniquely in hominins, often under positive selection, enhancing , , and neuronal signaling. Key examples involve genes regulating proliferation and maturation, with evidence from and functional studies in model systems demonstrating their exclusivity to humans and close relatives like Neanderthals. The -associated genes MCPH1 (microcephalin) and ASPM (abnormal spindle-like microcephaly-associated) are central to expansion, as they regulate mitotic spindle orientation in neural progenitors, thereby controlling the production and orientation of during cortical development. Mutations in these genes cause primary microcephaly in , characterized by a dramatically reduced (up to 50% smaller) and simplified cortical folding, underscoring their role in gyral patterning and progenitor symmetry. Evolutionary analyses reveal that both genes underwent positive selection in the lineage leading to , with MCPH1 showing in hominins that correlates with increased brain volume, while ASPM underwent positive selection in the lineage following from chimpanzees approximately 6 million years ago, with a specific variant sweeping to high frequency around 5,800 years ago. Functional divergence in MCPH1 across further supports its adaptation for enhanced output in the human cortex. Another critical human-specific innovation is the partial duplication of SRGAP2, resulting in the SRGAP2C paralog approximately 2.4–3.4 million years ago, which antagonizes the ancestral SRGAP2A protein to prolong maturation in cortical neurons. This delay in spine pruning—extending from days to months—allows for greater synaptic connectivity and density, a hallmark of pyramidal neurons that supports advanced neural integration. Expression of SRGAP2C is restricted to the cerebral cortex and is absent in chimpanzees, with transgenic models overexpressing it exhibiting human-like spine prolongation and increased branching, linking this duplication directly to neocortical . Copy number variations in LRRC37B, a duplicated and amplified specifically in the lineage, modify the function of voltage-gated sodium channels (Nav1.1 and Nav1.2), enhancing neuronal excitability and firing rates by up to 20–30% compared to non-human primates. This alteration promotes faster signal propagation in cortical , potentially contributing to the heightened computational efficiency of the . LRRC37B copy numbers are fixed at two copies per diploid in modern humans, with phylogenetic reconstructions showing its emergence via segmental duplications around 3–4 million years ago, distinct from lower-copy variants in apes. Splicing factors NOVA1 and ZEB2 exhibit human-specific regulatory changes that promote of transcripts essential for cortical layering and neuronal migration. NOVA1, a neuron-specific , regulates over 700 alternative exons in the , including those for synaptic proteins and cytoskeletal elements that facilitate proper lamination of cortical layers II–VI; archaic variants in Neanderthals and Denisovans show reduced splicing efficiency, suggesting hominin-specific enhancements. Recent studies (as of 2025) have shown that a human-specific substitution in NOVA1 (I197V), fixed after divergence from Neanderthals, enhances alternative splicing of neuronal transcripts, potentially contributing to advanced vocal and . Similarly, ZEB2 influences splicing networks for genes involved in progenitor differentiation, with human alleles driving increased expression of layer-specific markers in models. These factors collectively refine laminar organization, enabling the expanded and folded . The hominin-specific gene ARHGAP11B, arising from a partial duplication of ARHGAP11A about 5 million years ago, boosts the proliferation of basal radial glia progenitors in the outer , increasing neuron output by promoting self-renewal and folding in the developing . Overexpression in and models induces basal progenitor amplification and , mimicking human cortical expansion, while its absence in chimpanzees limits progenitor pools. Genomic evidence confirms ARHGAP11B presence in and genomes, indicating its emergence in the common hominin ancestor, with a human-specific splice mutation further enhancing its stability and function.

Mammalian and Primate Advancements

Neocortex Development

The , a hallmark of mammalian brain evolution, first appeared in early mammals around 200 million years ago during the period. This structure marked a significant departure from the simpler pallial organization seen in reptilian ancestors, featuring a distinctive six-layered that enabled more complex information processing. The layers arise primarily from radial glial progenitors in the ventricular zone, which generate neurons that migrate outward to form the laminated cortex, allowing for specialized cellular arrangements and connectivity. The evolutionary expansion of the transformed the reptilian dorsal —a relatively thin, three-layered region involved in basic sensory integration—into the mammalian isocortex. This transition involved radial expansion and increased neuronal diversity, with the dorsal 's field homolog in mammals developing into the multilayered through conserved developmental patterning genes like those in the Emx family. Fossil and comparative anatomical evidence from basal mammals, such as monotremes, supports this homology, showing that the isocortex retained thalamocortical input patterns similar to those in reptilian dorsal cortex but with enhanced layering for parallel processing. Functionally, the neocortex is divided into distinct zones: primary sensory areas for processing inputs like vision and somatosensation, motor areas for output control, and association areas for integrating multimodal information. These zones are interconnected via thalamocortical projections, where specific thalamic nuclei relay sensory data to corresponding cortical layers, particularly layers III and IV, fostering hierarchical computation. In early mammals, this organization likely supported adaptive behaviors in nocturnal, insectivorous niches, with roughly 20-25 cortical areas forming a protomap that self-organizes during development. Comparatively, neocortical morphology varies with body size and metabolic demands: small mammals like display , a smooth surface with limited folding to accommodate compact brains, whereas larger mammals such as carnivores and ungulates exhibit gyrencephaly, where sulci and gyri increase surface area without proportionally enlarging volume. This folding arises from differential tangential expansion between inner and outer cortical layers, driven by proliferation, and is evident in therian mammals but absent in some basal lineages. A key evolutionary driver for neocortical elaboration was the advent of endothermy in mammals, which maintained stable body temperatures and supported high-energy neural activity. This metabolic shift, coinciding with the era, enabled prolonged wakefulness and cognitive demands, promoting neocortical growth by enhancing glial support and oxygen delivery to sustain dense synaptic networks.

Primate Brain Expansion

The evolution of the brain features a marked acceleration in encephalization, particularly with the rise of anthropoids around 40 million years ago, when the (EQ)—a measure of relative to body size—shifted from approximately 1.0 in prosimians to progressively higher values, reaching about 7.5 in humans. This surge reflects an adaptive emphasis on cognitive capacity, enabling to navigate complex environments and beyond the more rudimentary processing seen in earlier forms. Central to this brain expansion is the disproportionate enlargement of the , which supports advanced such as planning, decision-making, and inhibitory control. This region's growth is closely tied to , as proposed by the social brain hypothesis, where the cognitive demands of maintaining alliances, detecting deception, and coordinating group behaviors in increasingly large societies selected for enhanced prefrontal processing. In anthropoid , the occupies a larger proportion of the compared to prosimians, facilitating these socio-cognitive abilities essential for survival in fission-fusion social structures. Parallel to prefrontal development, the achieved dominance in the through significant expansion of the occipital and temporal lobes, optimizing stereoscopic vision and for fine-grained environmental assessment. These regions, including primary visual area V1 and higher-order extrastriate areas like V4 and inferotemporal cortex, scaled up in surface area—often by factors of 2-4 times between prosimians and higher —to process detailed visual information critical for and predator avoidance. This visual emphasis arose in response to the arboreal lifestyle of early , where forward-facing eyes and enhanced provided advantages in navigating dense forest canopies and leaping between branches. Paleoneurological evidence from confirms the trajectory of this expansion within the lineage, revealing brain volumes of approximately 400-500 cc in species, such as A. afarensis (average 446 cc) and A. africanus (average 461 cc), compared to around 1,350 cc in later species like H. sapiens. These measurements, derived from fossilized cranial imprints, indicate a tripling or more in overall from early hominins to modern forms, with the increase concentrated in association areas rather than primary sensory regions. Supporting these cortical enlargements, brains exhibit a disproportionate increase in volume, which scales faster than gray matter (as N^1.197, where N is the number of neurons) to bolster long-range connectivity and information integration across brain regions. This enhanced myelinated fiber network facilitates rapid neural communication, adapting for dexterous manipulations in arboreal settings and the emergence of tool use in species like chimpanzees, where changes correlate with learned motor skills. Such connectivity upgrades contribute to the efficiency of architectures in larger brains, enabling the coordinated behaviors that define primate adaptability.

Theories and Debates

Major Evolutionary Theories

The evolution of the brain has been shaped by several prominent hypotheses that seek to explain the selective pressures driving increases in size, complexity, and cognitive capacity across vertebrates, particularly in and humans. These theories emphasize adaptive responses to environmental, social, and physiological challenges, often integrating comparative data from , , and . While no single model fully accounts for the observed patterns, they collectively highlight how brain evolution balances cognitive gains against metabolic costs and ecological demands. The social brain hypothesis posits that the cognitive demands of navigating complex social groups were a primary driver of brain enlargement in . Proposed by , this theory argues that , including humans, evolved larger to manage relationships in larger social networks, as social interactions require tracking alliances, , and . Empirical support comes from correlations between neocortex size (relative to the rest of the ) and group size across species, with humans fitting this pattern at the extreme end; for instance, Dunbar's number estimates an optimal human group size of around 150 individuals based on neocortical volume. This hypothesis has been bolstered by studies showing that , rather than solitary , best predicts relative in and other mammals. In contrast, the ecological intelligence hypothesis emphasizes environmental pressures, particularly those related to and predation, as key selectors for enhanced problem-solving abilities and expansion. This view suggests that unpredictable or complex habitats, such as those requiring extractive (e.g., accessing hidden food resources), favored cognitive traits like , tool use, and inhibitory control. Comparative analyses across indicate that species facing variable diets or seasonal exhibit larger relative sizes, independent of social factors; for example, folivorous in stable environments have smaller brains than frugivores in dynamic forests. Recent work revives this idea by demonstrating that human-unique challenges, like cooperative hunting, may have amplified these ecological adaptations into advanced . The hypothesis extends social and ecological models by proposing that the capacity for social learning and cumulative knowledge transmission uniquely accelerated . This theory, articulated by researchers like Carel van Schaik and , argues that brains were selected for managing culturally transmitted information, enabling innovations like tool-making and that build across generations. Evidence from comparisons shows that with greater reliance on social learning exhibit enhanced , and in humans, this manifests in protracted development periods that allow cultural acquisition; for instance, great apes outperform other animals in social learning tasks but lag behind humans in cumulative culture. Genetic evidence, such as variants in genes like FOXP2 linked to , supports this by showing adaptations for social transmission. A recurring theme across these theories is the trade-off between and allocation, as larger brains impose significant metabolic demands. In humans, the consumes approximately 20% of total resting metabolic despite comprising only 2% of body mass, necessitating evolutionary compromises like reduced gut size or slower growth rates to afford this investment. Models of these trade-offs suggest that dietary shifts, such as increased consumption or cooking, freed up for encephalization, allowing cognitive benefits to outweigh costs in social or ecological contexts. This constraint explains why extreme sizes are rare and often correlated with longer lifespans and in mammals.00227-5) Debates surrounding these theories often center on whether brain evolution proceeded in a mosaic or concerted fashion. The mosaic model proposes that specific brain regions evolve independently in response to targeted selective pressures, such as the neocortex expanding for social cognition while the cerebellum remains conserved for motor control; this is supported by genetic studies showing modular heritability in brain region sizes across vertebrates. Conversely, the concerted model argues for coordinated evolution driven by developmental constraints, where overall brain size increases proportionally across structures due to shared genetic and physiological factors. Comparative neuroanatomy in primates and birds reveals elements of both, with critiques noting that mosaic changes can trigger concerted scaling, challenging a strict dichotomy and suggesting hybrid dynamics in hominin evolution.

Current Research Directions

Recent advances in paleoneurology have leveraged computed tomography (CT) scans to generate high-resolution digital endocasts from fossil crania, enabling detailed visualization of internal brain structures such as vascular patterns, sulcal , and regional volumes that were previously inaccessible. These techniques have revealed evolutionary changes in hominin brain organization, including increases in neocorticalization and encephalization quotients, by comparing endocasts from like to modern primates. For instance, a 2025 study of anthropoid fossils used virtual reconstructions to quantify endocranial morphology, highlighting gradual increases in neocortical surface area over 30 million years. Single-cell RNA sequencing (scRNA-seq) has transformed the study of brain evolution by mapping profiles at cellular resolution across , identifying conserved and divergent regulatory networks that underpin cell-type diversification. Recent cross- analyses, such as those integrating scRNA-seq data from , , and brains, have enabled imputation methods to predict cell-type profiles, showing higher accuracy for conserved neuronal types than non-neuronal cells due to evolutionary . A 2025 study generated a single-cell atlas of 1.3 million cells from brains, including non-human like , birds, and macaques, revealing species-specific variations in cell types that highlight their evolutionary diversification. CRISPR-Cas9 editing has enabled functional testing of ancient or evolutionarily significant genes in model organisms, reconstructing ancestral brain phenotypes to infer selective pressures. In models like mice and , researchers have edited genes such as orthologs—implicated in human language evolution—to assess impacts on formation and vocalization behaviors. These experiments, often combined with cultures, mimic developmental trajectories from early mammals, showing how mutations in regulatory elements alter cortical layering and connectivity. Unresolved questions persist regarding the influence of external factors on evolution, including the gut microbiome's role in modulating energy allocation for encephalization. A 2024 study linked microbial compositions in to metabolic adaptations that facilitated growth, suggesting influenced dietary shifts and neural demands during hominid . Emerging research also explores potential quantum effects in , such as entanglement in neural , though these remain highly speculative and lack direct empirical validation in evolutionary contexts. Looking ahead, is being integrated to simulate evolutionary trajectories of brain development, using to predict genetic regulatory changes across 320 million years of vertebrate history. These models analyze multi-omics data to forecast cell-type innovations, aiding hypothesis generation for and genomic studies. Concurrently, ethical concerns surround organoids, which recapitulate evolutionary stages but raise issues of potential and moral status; a 2025 report calls for global oversight to address , risks, and equitable access in research.

References

Add your contribution
Related Hubs
Contribute something
User Avatar
No comments yet.