Scalable architecture in mammalian brains

Similar synapse density in layer IV columns of the primary somatosensory cortex of transgenic mice with different brain size: implications for mechanisms underlying the differential allocation of cortical space

The relative dimension of the areas constituting the cerebral cortex differs greatly in the brains of different mammalian species. The mechanisms by which such an evolutionary remodeling has occurred is not well understood. To begin exploring possible mechanisms, we took advantage of a transgenic mouse model in which the area of the primary somatosensory cortex (S1) shifts, to some extent independent from the area of the cortex as a whole, as a result of differences in the availability of insulin-like growth factor I (IGF-I). Electron microscopy estimations of synapse density in D3 and C3 cortical columns of the S1 layer IV revealed that this parameter was similar among wild type and transgenic mice with higher and lower availability of IGF-I. Because D3 and C3 columns were larger and smaller than normal in mice with higher and lower IGF-I availability, the total number of synapses contained in the average area of D3 and C3 columns increased and decreased, respectively. No differences in the number and overall arrangement of S1 columns were observed among animal groups. These results suggest that: 1) synapse density is a constant factor within the S1 cortical column structure; 2) the mechanisms and factors regulating cell number and synaptogenesis are affected as columns and cortical areas modify their relative dimensions; 3) altered availability of neurotrophic factors might be associated with changes in areal dimensions; and 4) changes in cortical areal dimensions within single lineages might result from the addition of minicolumns to preexisting columns.

[Biology of size and gravity]

Gravity is a force that acts on mass. Biological effects of gravity and their magnitude depend on scale of mass and difference in density. One significant contribution of space biology is confirmation of direct action of gravity even at the cellular level. Since cell is the elementary unit of life, existence of primary effects of gravity on cells leads to establish the firm basis of gravitational biology. However, gravity is not limited to produce its biological effects on molecules and their reaction networks that compose living cells. Biological system has hierarchical structure with layers of organism, group, and ecological system, which emerge from the system one layer down. Influence of gravity is higher at larger mass. In addition to this, actions of gravity in each layer are caused by process and mechanism that is subjected and different in each layer of the hierarchy. Because of this feature, summing up gravitational action on cells does not explain gravity for biological system at upper layers. Gravity at ecological system or organismal level can not reduced to cellular mechanism. Size of cells and organisms is one of fundamental characters of them and a determinant in their design of form and function. Size closely relates to other physical quantities, such as mass, volume, and surface area. Gravity produces weight of mass. Organisms are required to equip components to support weight and to resist against force that arise at movement of body or a part of it. Volume and surface area associate with mass and heat transport process at body. Gravity dominates those processes by inducing natural convection around organisms. This review covers various elements and process, with which gravity make influence on living systems, chosen on the basis of biology of size. Cells and biochemical networks are under the control of organism to integrate a consolidated form. How cells adjust metabolic rate to meet to the size of the composed organism, whether is gravity responsible for this feature, are subject we discuss in this article. Three major topics in gravitational and space biology are; how living systems have been adapted to terrestrial gravity and evolved, how living systems respond to exotic gravitational environment, and whether living systems could respond and adapt to microgravity. Biology of size can contribute to find a way to answer these question, and answer why gravity is important in biology, at explaining why gravity has been a dominant factor through the evolutional history on the earth.

Affording larger brains: testing hypotheses of mammalian brain evolution on bats

Several major hypotheses have been proposed to explain how larger brains in mammals, such as those of humans, are afforded in energetic terms. To date, these have been largely tested on primates, with some cross-mammal analysis. We use morphological, ecological, and metabolic data for 313 species of bats to examine the allometry of brain mass and to test key predictions from three of these hypotheses: the direct metabolic constraint, expensive tissue, and maternal energy hypotheses. We confirm that megachiropteran bats (entirely fruit-eating) have larger brains for their body mass than microchiropteran bats (fruit-eating and non-fruit-eating) and fruit-eating species (Megachiroptera and Microchiroptera) have larger brains than non-fruit-eating species (Microchiroptera). Although our analyses demonstrate little or no support for any of the three hypotheses, we show that 95.9% of the variance in brain mass can be explained by the independent effects of gestation length and body mass. This indicates that among bats, the duration of maternal investment plays an important role in the adult brain mass finally obtained. These analyses serve to emphasis the crucial importance of testing the general applicability of macroevolutionary hypotheses (often developed in isolation in one clade) in multiple clades with different evolutionary histories.

Bigger brains or bigger nuclei? Regulating the size of auditory structures in birds

Increases in the size of the neuronal structures that mediate specific behaviors are believed to be related to enhanced computational performance. It is not clear, however, what developmental and evolutionary mechanisms mediate these changes, nor whether an increase in the size of a given neuronal population is a general mechanism to achieve enhanced computational ability. We addressed the issue of size by analyzing the variation in the relative number of cells of auditory structures in auditory specialists and generalists. We show that bird species with different auditory specializations exhibit variation in the relative size of their hindbrain auditory nuclei. In the barn owl, an auditory specialist, the hindbrain auditory nuclei involved in the computation of sound location show hyperplasia. This hyperplasia was also found in songbirds, but not in non-auditory specialists. The hyperplasia of auditory nuclei was also not seen in birds with large body weight suggesting that the total number of cells is selected for in auditory specialists. In barn owls, differences observed in the relative size of the auditory nuclei might be attributed to modifications in neurogenesis and cell death. Thus, hyperplasia of circuits used for auditory computation accompanies auditory specialization in different orders of birds.

Brain architecture and social complexity in modern and ancient birds

Vertebrate brains vary tremendously in size, but differences in form are more subtle. To bring out functional contrasts that are independent of absolute size, we have normalized brain component sizes to whole brain volume. The set of such volume fractions is the cerebrotype of a species. Using this approach in mammals we previously identified specific associations between cerebrotype and behavioral specializations. Among primates, cerebrotypes are linked principally to enlargement of the cerebral cortex and are associated with increases in the complexity of social structure. Here we extend this analysis to include a second major vertebrate group, the birds. In birds the telencephalic volume fraction is strongly correlated with social complexity. This correlation accounts for almost half of the observed variation in telencephalic size, more than any other behavioral specialization examined, including the ability to learn song. A prominent exception to this pattern is owls, which are not social but still have very large forebrains. Interpolating the overall correlation for Archaeopteryx, an ancient bird, suggests that its social complexity was likely to have been on a par with modern domesticated chickens. Telencephalic volume fraction outperforms residuals-based measures of brain size at separating birds by social structure. Telencephalic volume fraction may be an anatomical substrate for social complexity, and perhaps cognitive ability, that can be generalized across a range of vertebrate brains, including dinosaurs.

Adaptive evolution of cytochrome c oxidase subunit VIII in anthropoid primates

Cytochrome c oxidase (COX) is a 13-subunit protein complex that catalyzes the last step in mitochondrial electron transfer in mammals. Of the 10 subunits encoded by nuclear DNA (three are mtDNA products), some are expressed as tissue- and/or development-specific isoforms. For COX subunit VIII, previous work showed that expression of the contractile muscle-specific isoform gene, COX8H, is absent in humans and Old World monkeys, and the other isoform gene, COX8L, is expressed ubiquitously. Here, we show that COX8H is transcribed in most primate clades, but its expression is absent in catarrhines, that is, in Old World monkeys and hominids (apes, including humans), having become a pseudogene in the stem of the catarrhines. The ubiquitously expressed isoform, COX8L, underwent nonsynonymous rate acceleration and elevation in the ratio of nonsynonymous/synonymous changes in the stem of anthropoid primates (New World monkeys and catarrhines), possibly setting the stage for loss of the heart-type (H) isoform. The most rapidly evolving region of VIII-L is one that interacts with COX I, suggesting that the changes are functionally coadaptive. Because accelerated rates of nonsynonymous substitutions in anthropoids such as observed for COX8L are also shown by genes for at least 13 other electron transport chain components, these encoded amino acid replacements may be viewed as part of a series of coadaptive changes that optimized the anthropoid biochemical machinery for aerobic energy metabolism. We argue that these changes were linked to the evolution of an expanded neocortex in anthropoid primates.

Nature versus nurture revisited: an old idea with a new twist

The nature versus nurture debate has recently resurfaced with the emergence of the field of developmental molecular neurobiology. The questions associated with "nature" have crystallized into testable hypotheses regarding patterns of gene expression during development, and those associated with "nurture" have given over to activity-dependent cellular mechanisms that give rise to variable phenotypes in developing nervous systems. This review focuses on some of the features associated with complex brains and discusses the evolutionary and activity-dependent mechanisms that generate these features. These include increases in the size of the cortical sheet, changes in cortical domain and cortical field specification, and the activity-dependent intracellular mechanisms that regulate the structure and function of neurons during development. We discuss which features are likely to be genetically mediated, which features are likely to be regulated by activity, and how these two mechanisms act in concert to produce the wide variety of phenotypes observed for the mammalian neocortex. For example, the size of the cortical sheet is likely to be under genetic control, and regulation of cell-cycle kinetics through upregulation of genes such as beta-catenin can account for increases in the size of the cortical sheet. Similarly, intrinsic signaling genes or gene products such as Wnt, Shh, Fgf2, Fgf8 and BMP may set up a combinatorial coordinate system that guides thalamic afferents. Changes in peripheral morphology that regulate patterned activity are also likely to be under genetic control. Finally, the intracellular machinery that allows for activity-dependent plasticity in the developing CNS may be genetically regulated, although the specific phenotype they generate are not. On the other hand, aspects of neocortical organization such as sensory domain assignment, the size and shape of cortical fields, some aspects of connectivity, and details of functional organization are likely to be activity-dependent. Furthermore, the role of genes versus activity, and their interactions, may be different for primary fields versus non-primary fields.

The evolution of the cortico-cerebellar complex in primates: anatomical connections predict patterns of correlated evolution

Investigations into the evolution of the primate brain have tended to neglect the role of connectivity in determining which brain structures have changed in size, focusing instead on changes in the size of the whole brain or of individual brain structures, such as the neocortex, in isolation. We show that the primate cerebellum, neocortex, vestibular nuclei and relays between them exhibit correlated volumetric evolution, even after removing the effects of change in other structures. The patterns of correlated evolution among individual nuclei correspond to their known patterns of connectivity. These results support the idea that the brain evolved by mosaic size change in arrays of functionally connected structures. Furthermore, they suggest that the much discussed expansion of the primate neocortex should be re-evaluated in the light of conjoint cerebellar expansion.

N-myc is essential during neurogenesis for the rapid expansion of progenitor cell populations and the inhibition of neuronal differentiation

To address the role of N-myc in neurogenesis and in nervous system tumors, it was conditionally disrupted in neuronal progenitor cells (NPCs) with a nestin-Cre transgene. Null mice display ataxia, behavioral abnormalities, and tremors that correlate with a twofold decrease in brain mass that disproportionately affects the cerebellum (sixfold reduced in mass) and the cerebral cortex, both of which show signs of disorganization. In control mice at E12.5, we observe a domain of high N-Myc protein expression in the rapidly proliferating cerebellar primordium. Targeted deletion of N-myc results in severely compromised proliferation as shown by a striking decrease in S phase and mitotic cells as well as in cells expressing the Myc target gene cyclin D2, whereas apoptosis is unaffected. Null progenitor cells also have comparatively high levels of the cdk inhibitors p27(Kip1) and p18(Ink4c), whereas p15(Ink4b), p21(Cip1), and p19(Ink4d) levels are unaffected. Many null progenitors also exhibit altered nuclear morphology and size. In addition, loss of N-myc disrupts neuronal differentiation as evidenced by ectopic staining of the neuron specific marker betaTUBIII in the cerebrum. Furthermore, in progenitor cell cultures derived from null embryonic brain, we observe a dramatic increase in neuronal differentiation compared with controls. Thus, N-myc is essential for normal neurogenesis, regulating NPC proliferation, differentiation, and nuclear size. Its effects on proliferation and differentiation appear due, at least in part, to down-regulation of a specific subset of cyclin-dependent kinase inhibitors.

Brain factor-1 controls the proliferation and differentiation of neocortical progenitor cells through independent mechanisms

The winged helix gene Brain factor-1 (BF1) has a pleiotropic role in the development of the cerebral hemispheres of the brain. Mice lacking BF1 have defects in the morphogenesis of the structures of the dorsal telencephalon (e.g., neocortex) and the ventral telencephalon (e.g., the basal ganglia). This study focuses on the functions of BF1 in the dorsal telencephalon. We showed previously that telencephalic progenitor cells lacking BF1 differentiate into neurons prematurely. Here, we demonstrate that the loss of BF1 also results in an early lengthening of the cell cycle in neocortical progenitors. To investigate the mechanisms by which BF1 regulates progenitor cell proliferation and differentiation in the developing brain, we have replaced the endogenous BF1 protein with a DNA binding defective form of BF1 in mice, BF1(NHAA). The BF1(NHAA) protein restores the growth of the dorsal telencephalon, by improving the proliferation of progenitor cells. However, the BF1(NHAA) protein does not correct the early neuronal differentiation associated with the loss of BF1. In contrast, replacement of endogenous BF1 with wild-type BF1 corrects the defects in both the proliferation and differentiation of neocortical progenitors. These results demonstrate that BF1 controls progenitor cell proliferation and differentiation in the neocortex through distinct DNA binding-independent and binding-dependent mechanisms.

Brain and cognitive evolution: forms of modularity and functions of mind

Genetic and neurobiological research is reviewed as related to controversy over the extent to which neocortical organization and associated cognitive functions are genetically constrained or emerge through patterns of developmental experience. An evolutionary framework that accommodates genetic constraint and experiential modification of brain organization and cognitive function is then proposed. The authors argue that 4 forms of modularity and 3 forms of neural and cognitive plasticity define the relation between genetic constraint and the influence of developmental experience. For humans, the result is the ontogenetic emergence of functional modules in the domains of folk psychology, folk biology, and folk physics. The authors present a taxonomy of these modules and review associated research relating to brain and cognitive plasticity in these domains.

Regulation of cerebral cortical size by control of cell cycle exit in neural precursors

Transgenic mice expressing a stabilized beta-catenin in neural precursors develop enlarged brains with increased cerebral cortical surface area and folds resembling sulci and gyri of higher mammals. Brains from transgenic animals have enlarged lateral ventricles lined with neuroepithelial precursor cells, reflecting an expansion of the precursor population. Compared with wild-type precursors, a greater proportion of transgenic precursors reenter the cell cycle after mitosis. These results show that beta-catenin can function in the decision of precursors to proliferate or differentiate during mammalian neuronal development and suggest that beta-catenin can regulate cerebral cortical size by controlling the generation of neural precursor cells.

Social intelligence, innovation, and enhanced brain size in primates

Despite considerable current interest in the evolution of intelligence, the intuitively appealing notion that brain volume and "intelligence" are linked remains untested. Here, we use ecologically relevant measures of cognitive ability, the reported incidence of behavioral innovation, social learning, and tool use, to show that brain size and cognitive capacity are indeed correlated. A comparative analysis of 533 instances of innovation, 445 observations of social learning, and 607 episodes of tool use established that social learning, innovation, and tool use frequencies are positively correlated with species' relative and absolute "executive" brain volumes, after controlling for phylogeny and research effort. Moreover, innovation and social learning frequencies covary across species, in conflict with the view that there is an evolutionary tradeoff between reliance on individual experience and social cues. These findings provide an empirical link between behavioral innovation, social learning capacities, and brain size in mammals. The ability to learn from others, invent new behaviors, and use tools may have played pivotal roles in primate brain evolution.

Humans and great apes share a large frontal cortex

Some of the outstanding cognitive capabilities of humans are commonly attributed to a disproportionate enlargement of the human frontal lobe during evolution. This claim is based primarily on comparisons between the brains of humans and of other primates, to the exclusion of most great apes. We compared the relative size of the frontal cortices in living specimens of several primate species, including all extant hominoids, using magnetic resonance imaging. Human frontal cortices were not disproportionately large in comparison to those of the great apes. We suggest that the special cognitive abilities attributed to a frontal advantage may be due to differences in individual cortical areas and to a richer interconnectivity, none of which required an increase in the overall relative size of the frontal lobe during hominid evolution.

Using the volumetric indices of telencephalic structures to distinguish Salamandridae and Plethodontidae: comparison of three statistical methods

The aim of this study was to establish whether appropriate statistical analysis of 16 volumetric indices corresponding to 16 structures making up the entire telencephalon of Urodela could distinguish between two families, Salamandridae and Plethodontidae. We compared the efficiency of three statistical methods (stepwise discriminant analysis, artificial neural networks, correspondence factor analysis) and the information they provide. All three methods found the same species difficult to classify. However, only correspondence factor analysis could suggest explanations for "misclassifications" as it superimposes the two sets of variables, (sub)species and anatomical variables, thus revealing the correlations between them. The bulbus olfactorius accessorius and the caudal mitral cell layer of the bulbus olfactorius principalis were the most discriminatory structures in separating Salamandridae and Plethodontidae. The correspondence factor analysis mapped species very much in line with accepted taxonomy and highlighted several current controversies [e.g. positioning of certain newts (T. marmoratus, T. vulgaris, T. alpestris), of Salamandrina terdigitata, and of members of the genus Euproctus]. Mapping of Plethodontidae was less clear-cut than that of Salamandridae with more overlap among genera but was quite consistent with knowledge of brain structure complexification. We conclude that relationships derived from analyses of telencephalic structures provide valuable information that might help resolve ambiguities; we have coined the term "neurotaxonomy" for this approach.

How did brains evolve?

Three reports on mammalian brain evolution analyse the same comparative data on brain component volumes but come to partially conflicting conclusions. Clark et al. conclude from their analysis of volumetric brain proportions ("cerebro-types") that cerebellum size is invariant across mammalian taxonomic groups, the neocortex and cerebellum do not co-vary in size (in contradiction to ref. 1), and cerebrotype-based measures identify directional changes in brain architecture. Here I provide evidence that calls each of these conclusions into question. The failure of the cerebrotype measure to identify species differences in brain architecture that are independent of gross brain size undermines the proposal by Clark et al. that it could be useful for detecting evolutionary patterns and phylogenetic relationships.

Analysis of mammalian brain architecture

The mammalian brain is composed of several distinct parts which show different growth in evolution. Clark, Mitra and Wang found that the two main cortices of the brain - the cerebral (neo-) cortex and the cerebellum - show very different growth, and that whereas the ratio of neocortex volume to total brain volume increases with evolution, the cerebellum occupies a constant proportion in different species. Here I compare the surface areas of the two cortices in different species and find that these show a simple proportionality. Contrary to the conclusion drawn by Clark et al., this linear dependence of size implies that the two major cortices increase their computational capacity in parallel, suggesting a functional dependence of the one upon the other.

Hedgehog-Gli signalling and the growth of the brain

The development of the vertebrate brain involves the creation of many cell types in precise locations and at precise times, followed by the formation of functional connections. To generate its cells in the correct numbers, the brain has to produce many precursors during a limited period. How this is achieved remains unclear, although several cytokines have been implicated in the proliferation of neural precursors. Understanding this process will provide profound insights, not only into the formation of the mammalian brain during ontogeny, but also into brain evolution. Here we review the role of the Sonic hedgehog-Gli pathway in brain development. Specifically, we discuss the role of this pathway in the cerebellar and cerebral cortices, and address the implications of these findings for morphological plasticity. We also highlight future directions of research that could help to clarify the mechanisms and consequences of Sonic hedgehog signalling in the brain.