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Brain size fascinates society as well as researchers since it is a measure often associated with intelligence and was used to define species with high “intellectual capabilities”. In general, brain size is correlated with body size. However, there are disparities in terms of relative brain size between species that may be explained by several factors such as the complexity of social behaviour, the ‘social brain hypothesis’, or learning and memory capabilities. These disparities are used to classify species according to an ‘encephalization quotient’. However, environment also has an important role on the development and evolution of brain size. In this review, I summarise the recent studies looking at the effects of environment on brain size in insects, and introduce the idea that the role of environment might be mediated through the relationship between olfaction and vision. I also discussed this idea with studies that contradict this way of thinking.

Why are some mammals more vulnerable to extinction than others? Past studies have explored many life history traits as correlates of extinction, but have not been successful at developing a unified understanding of why some species become extinct while other species persist despite living at the same time, under similar conditions, and facing equivalent challenges. I propose that the lens of wildlife behavior may bring into focus a more comprehensive view of why some species have gone extinct while others persist. The fossil record has recorded extinction events over carnivoran history; unfortunately, behavior is not well recorded in the fossil record. As a proxy for behavior, I examine relative encephalization (RE), brain size after controlling for body mass and phylogeny, as it has been found to be biologically relevant in understanding a wide variety of animal behavioral traits. I focus on the data-rich order Carnivora for which there are comprehensive data on brain size and extinction between 40 and 0.012 million years ago. I use Cox proportional-hazards models to assess the role that RE and body size have played on extinction risk for 224 species in the order Carnivora that existed between 40 and 0.012 million years ago. I show generally that carnivoran species with reduced RE had higher relative risks of extinction. Additionally, I find an interaction between RE and body size such that RE had the largest effects on relative extinction risk in the smallest-bodied species. These results suggest that RE is important for understanding extinction risk in Carnivora over geologic time frames. [ABSTRACT FROM AUTHOR]

We published a study recently testing the link between brain size and behavioural plasticity using brain size selected guppy (Poecilia reticulata) lines (2019, Journal of Evolutionary Biology, 32, 218‐226). Only large‐brained fish showed habituation to a new, but actually harmless environment perceived as risky, by increasing movement activity over the 20‐day observation period. We concluded that "Our results suggest that brain size likely explains some of the variation in behavioural plasticity found at the intraspecific level". In a commentary published in the same journal, Haave‐Audet et al. challenged the main message of our study, stating that (a) relative brain size is not a suitable proxy for cognitive ability and (b) habituation measured by us is likely not adaptive and costly. In our response, we first show that a decade's work has proven repeatedly that relative brain size is indeed positively linked to cognitive performance in our model system. Second, we discuss how switching from stressed to unstressed behaviour in stressful situations without real risk is likely adaptive. Finally, we point out that the main cost of behavioural plasticity in our case is the development and maintenance of the neural system needed for information processing, and not the expression of plasticity. We hope that our discussion with Haave‐Audet et al. helps clarifying some central issues in this emerging research field. We tested the link between relative brain size and behavioural plasticity recently (Herczeg et al. 2019, Journal of Evolutionary Biology, 32, 218‐226). In their commentary, Haave‐Audet et al. stated that (i) relative brain size is not a suitable proxy for cognitive ability and (ii) habituation measured by us is likely not adaptive and costly. Here, we show that a positive link between relative brain size and cognitive performance has been repeatedly proven in our system. Then, we argue that habituation in the absence of risk is likely adaptive. Finally, we point out that the costs of capacity, and not the costs of expression, are important for behavioural plasticity in our laboratory experiment. [ABSTRACT FROM AUTHOR]

The 'social brain hypothesis' proposes a causal link between social complexity and either brain size or the size of key brain parts known to be involved in cognitive processing and decision-making. While previous work has focused on comparisons between species, how social complexity affects plasticity in brain morphology at the intraspecific level remains mostly unexplored. A suitable study model is the mutualist 'cleaner' fish Labroides dimidiatus, a species that removes ectoparasites from a variety of 'client' fishes in iterative social interactions. Here, we report a positive relationship between the local density of cleaners, as a proxy of both intra- and interspecific sociality, and the size of the cleaner's brain parts suggested to be associated with cognitive functions, such as the diencephalon and telencephalon (that together form the forebrain). In contrast, the size of the mesencephalon, rhombencephalon, and brain stem, assumed more basal in function, were independent of local fish densities. Selective enlargement of brain parts, that is mosaic brain adjustment, appears to be driven by population density in cleaner fish. [ABSTRACT FROM AUTHOR]

In Horschler et al. (Anim Cognit 22(2):187–198, 2019), we found that two components of executive function (short-term memory and self-control) were strongly associated with estimated absolute brain weight across dog breeds, and argued that dogs present a powerful model for studying evolutionary links between cognition and neuroanatomy due to their extraordinary degree of intraspecific morphological variation. In a commentary on this work, Montgomery (Anim Cognit, 2019) raises concerns about the practice of estimating brain weights from brain–body scaling relationships. Montgomery explores the practical significance of this approach, ultimately concluding that such estimations should be avoided. In this response, we point out some limitations of the analyses presented by Montgomery and consider his conclusions in light of these issues. We then explore the extent to which body weight serves as a valid proxy for brain weight under varying conditions. Through simulations, we show that the consequences of using body weight as a proxy for brain weight depend on parameters including effect size, the correlation between brain and body weight, and the variance in brain and body weight within a sample. Under conditions approximating those in Horschler et al. (Anim Cognit 22(2):187–198, 2019), we find that body weight is a reliable proxy for brain weight, and that statistical results from models using either brain weight or body weight as predictor variables are highly convergent. Nonetheless, we wholeheartedly agree with Montgomery that empirical data on brain weight, structure, and cellular composition will be critical for creating new opportunities to investigate the relationships between neuroanatomy and cognition in dogs. [ABSTRACT FROM AUTHOR]

What is the cognitive significance of variation in brain size? This question is simply put, but hard to answer, and remains one of the most enduring questions in comparative ethology. Understanding the causative links between variation in brain size and structure, and cognition requires reliable data on both neural and behavioral traits. A recent study by Horschler et al. (Anim Cogn 22(2):187–198, 2019) demonstrated the potential of citizen science and domestic dogs to provide unprecedented behavioral datasets that can be used to tackle this question. However, data on brain weight is harder to source. To test the link between performance in various cognitive tasks and variation in brain size, the authors instead relied on data for body weight, which was transformed into 'estimated brain weight' using the allometric scaling relationship between brain and body size, an approach that can be found in other papers which lack sufficient neuroanatomical data. Here, I describe some probable limitations of this approach and suggest that such transformations provide no benefit to the analyses and should be avoided. [ABSTRACT FROM AUTHOR]

Evidence is accumulating that species traits can spur their evolutionary diversification by influencing niche shifts, range expansions, and extinction risk. Previous work has shown that larger brains (relative to body size) facilitate niche shifts and range expansions by enhancing behavioral plasticity but whether larger brains also promote evolutionary diversification is currently backed by insufficient evidence. We addressed this gap by combining a brain size dataset for >1900 avian species worldwide with estimates of diversification rates based on two conceptually different phylogenetic‐based approaches. We found consistent evidence that lineages with larger brains (relative to body size) have diversified faster than lineages with relatively smaller brains. The best supported trait‐dependent model suggests that brain size primarily affects diversification rates by increasing speciation rather than decreasing extinction rates. In addition, we found that the effect of relatively brain size on species‐level diversification rate is additive to the effect of other intrinsic and extrinsic factors. Altogether, our results highlight the importance of brain size as an important factor in evolution and reinforce the view that intrinsic features of species have the potential to influence the pace of evolution. [ABSTRACT FROM AUTHOR]

Neurons are the basic computational units of the brain, but brain size is the predominant surrogate measure of brain functional capacity in comparative and cognitive neuroscience. This approach is based on the assumption that larger brains harbor higher numbers of neurons and their connections, and therefore have a higher information‐processing capacity. However, recent studies have shown that brain mass may be less strongly correlated with neuron counts than previously thought. Till now, no experimental test has been conducted to examine the relationship between evolutionary changes in brain size and the number of brain neurons. Here, we provide such a test by comparing neuron number in artificial selection lines of female guppies (Poecilia reticulata) with >15% difference in relative brain mass and numerous previously demonstrated cognitive differences. Using the isotropic fractionator, we demonstrate that large‐brained females have a higher overall number of neurons than small‐brained females, but similar neuronal densities. Importantly, this difference holds also for the telencephalon, a key region for cognition. Our study provides the first direct experimental evidence that selection for brain mass leads to matching changes in number of neurons and shows that brain size evolution is intimately linked to the evolution of neuron number and cognition. [ABSTRACT FROM AUTHOR]

The underpinnings of mild to moderate neurodevelopmental delay remain elusive, often leading to late diagnosis and interventions. Here, we present data on exome and genome sequencing as well as array analysis of 13 individuals that point to pathogenic, heterozygous, mostly de novo variants in WDFY3 (significant de novo enrichment P = 0.003) as a monogenic cause of mild and non-specific neurodevelopmental delay. Nine variants were protein-truncating and four missense. Overlapping symptoms included neurodevelopmental delay, intellectual disability, macrocephaly, and psychiatric disorders (autism spectrum disorders/attention deficit hyperactivity disorder). One proband presented with an opposing phenotype of microcephaly and the only missense-variant located in the PH-domain of WDFY3. Findings of this case are supported by previously published data, demonstrating that pathogenic PH-domain variants can lead to microcephaly via canonical Wnt-pathway upregulation. In a separate study, we reported that the autophagy scaffolding protein WDFY3 is required for cerebral cortical size regulation in mice, by controlling proper division of neural progenitors. Here, we show that proliferating cortical neural progenitors of human embryonic brains highly express WDFY3, further supporting a role for this molecule in the regulation of prenatal neurogenesis. We present data on Wnt-pathway dysregulation in Wdfy3-haploinsufficient mice, which display macrocephaly and deficits in motor coordination and associative learning, recapitulating the human phenotype. Consequently, we propose that in humans WDFY3 loss-of-function variants lead to macrocephaly via downregulation of the Wnt pathway. In summary, we present WDFY3 as a novel gene linked to mild to moderate neurodevelopmental delay and intellectual disability and conclude that variants putatively causing haploinsufficiency lead to macrocephaly, while an opposing pathomechanism due to variants in the PH-domain of WDFY3 leads to microcephaly. [ABSTRACT FROM AUTHOR]

Because the white matter of the cerebral cortex contains axons that connect distant neurons in the cortical gray matter, the relationship between the volumes of the 2 cortical compartments is key for information transmission in the brain. It has been suggested that the volume of the white matter scales universally as a function of the volume of the gray matter across mammalian species, as would be expected if a global principle of wiring minimization applied. Using a systematic analysis across several mammalian clades, here we show that the volume of the white matter does not scale universally with the volume of the gray matter across mammals and is not optimized for wiring minimization. Instead, the ratio between volumes of gray and white matter is universally predicted by the same equation that predicts the degree of folding of the cerebral cortex, given the clade-specific scaling of cortical thickness, such that the volume of the gray matter (or the ratio of gray to total cortical volumes) divided by the square root of cortical thickness is a universal function of total cortical volume, regardless of the number of cortical neurons. Thus, the very mechanism that we propose to generate cortical folding also results in compactness of the white matter to a predictable degree across a wide variety of mammalian species. [ABSTRACT FROM AUTHOR]

There exists a moderate correlation between MRI-measured brain size and the general factor of IQ performance (g), but the question of whether the association reflects a theoretically important causal relationship or spurious confounding remains somewhat open. Previous small studies (n 〈 100) looking for the persistence of this correlation within families failed to find a tendency for the sibling with the larger brain to obtain a higher test score. We studied the within-family relationship between brain volume and intelligence in the much larger sample provided by the Human Connectome Project (n = 1022) and found a highly significant correlation (disattenuated ρ = 0. 18, p <. 001). We replicated this result in the Minnesota Center for Twin and Family Research (n = 2698), finding a highly significant within-family correlation between head circumference and intelligence (disattenuated ρ = 0. 19, p <. 001). We also employed novel methods of causal inference relying on summary statistics from genome-wide association studies (GWAS) of head size (n ≈ 10,000) and measures of cognition (257,000 < n < 767,000). Using bivariate LD Score regression, we found a genetic correlation between intracranial volume (ICV) and years of education (EduYears) of 0.41 (p <. 001). Using the Latent Causal Variable method, we found a genetic causality proportion of 0.72 (p <. 001); thus the genetic correlation arises from an asymmetric pattern, extending to sub-significant loci, of genetic variants associated with ICV also being associated with EduYears but many genetic variants associated with EduYears not being associated with ICV. This is the pattern of genetic results expected from a causal effect of brain size on intelligence. These findings give reason to take up the hypothesis that the dramatic increase in brain volume over the course of human evolution has been the result of natural selection favoring general intelligence. [ABSTRACT FROM AUTHOR]

Heritable genetic variation in relative brain size can underlie the relationship between brain performance and the relative size of the brain. We used bidirectional artificial selection to study the consequences of genetic variation in relative brain size on brain morphology, cognition and longevity in Nasonia vitripennis parasitoid wasps. Our results show a robust change in relative brain size after 26 generations of selection and six generations of relaxation. Total average neuropil volume of the brain was 16% larger in wasps selected for relatively large brains than in wasps selected for relatively small brains, whereas the body length of the large‐brained wasps was smaller. Furthermore, the relative volume of the antennal lobes was larger in wasps with relatively large brains. Relative brain size did not influence olfactory memory retention, whereas wasps that were selected for larger relative brain size had a shorter longevity, which was even further reduced after a learning experience. These effects of genetic variation on neuropil composition and memory retention are different from previously described effects of phenotypic plasticity in absolute brain size. In conclusion, having relatively large brains may be costly for N. vitripennis, whereas no cognitive benefits were recorded. [ABSTRACT FROM AUTHOR]

Selection pressure is an important force in shaping the evolution of vertebrate brain size among populations within species as well as between species. The evolution of brain size is tightly linked to natural and sexual selection, and life-history traits. In particular, increased environmental stress, intensity of sexual selection, and slower life history usually result in enlarged brains. However, although previous studies have addressed the causes of brain size evolution, no systematic reviews have been conducted to explain brain size in anurans. Here, we review whether brain size evolution supports the cognitive buffer hypothesis (CBH), the expensive tissue hypothesis (ETH), or the developmental cost hypothesis (DCH) by analyzing the intraspecific and/or interspecific patterns in brain size and brain regions (i.e., olfactory nerves, olfactory bulbs, telencephalon, optic tectum, and cerebellum) associated with ecological factors (habitat, diet and predator risk), sexual selection intensity, life-history traits (age at sexual maturity, mean age, longevity, clutch size and egg size, testis size and sperm length), and other energetic organs. Our findings suggest that brain size evolution in anurans supports the CBH, ETH or DCH. We also suggest future directions for studying the relationships between brain size evolution and crypsis (i.e., ordinary mucous glands in the skin), and food alteration in different developmental stages. [ABSTRACT FROM AUTHOR]

Miniature animals have tiny brains and should therefore face cognitive limitations. There is little supporting evidence for this expectation, however. We focused on memory information content and retention time, which likely subtend a broad range of cognitive abilities. Our study species, a web spider, allowed us to use a simple assay of working memory: how spiders search for prey they have captured and lost. We used an ontogenetic approach, taking advantage of variation in body size and the concomitant variation in brain size across instars in a single species. This approach eliminates possible confounding variation from species differences in ecology. Small spiders were the most highly motivated to search for lost prey and made the clearest discrimination of prey size. However, when we introduced a delay between memory formation and memory use, search time decreased more steeply in small spiders than in large spiders. Small spiders also performed less additional searching after their primary bout. Thus, the retention of working memory, but not its content, was limited in small spiders with small brains. We suggest that animals that evolve miniature sizes sacrifice not the ability to perceive and acquire information, but rather the ability to retain information over time in working memory. This may, in turn, limit their ability to relate behavioural decisions to their consequences. • We asked whether miniature animals face cognitive limitations. • We assayed working memory of captured prey in web spiders of different instars. • Smaller instars were limited in the retention time, but not the content, of memory. [ABSTRACT FROM AUTHOR]

Behavioral innovations are likely to contribute to the persistence of native species in developed areas. Innovativeness has been well-studied in birds, and the frequency with which they innovate is related to their relative brain size. However, the mechanisms by which behavioral innovations emerge and spread remain poorly known. Two major mechanisms are thought to play a fundamental role: the independent appearance of the same innovation in different individuals and innovation diffusion by social learning. Here, we describe observations of multiple Blue-faced Honeyeaters (Entomyzon cyanotis) collecting sugar packets, a technical innovation that had not been published in that species. We also demonstrate that this behavior emerged in 2 developed areas separated by 1,200 km, with multiple individuals engaging in the behavior within one of the sites, such that both independent innovation and social diffusion are likely to have occurred. Using brain size data on 62 species of the Meliphagidae family, we then discuss the likely importance of relative brain size in determining innovativeness in this family, and suggest that anatomical specialization such as the curvature of beaks used in nectar foraging could constrain the emergence of new behaviors in some large-brained species. [ABSTRACT FROM AUTHOR]

Identifying which ecological and life history traits influence a species' tolerance to urbanization is critical to understanding the trajectory of biodiversity in an increasingly urbanizing world. There is evidence for a wide array of contrasting patterns for single trait associations with urbanization. In a continental‐scale analysis, incorporating 477 species and >5 000 000 bird observations, we developed a novel and scalable methodology that evaluated the ecological and life history traits which most influence a species' adaptability to persist in urban environments. Specifically, we assigned species‐specific scores based on continuous measures of response to urbanization, using VIIRS night‐time light values (i.e. radiance) as a proxy for urbanization. We identified generalized, phylogenetically controlled patterns: bird species which are generalists (i.e. large niche breadth), with large clutch size, and large residual brain size are among the most urban‐tolerant bird species. Conversely, specialized feeding strategies (i.e. insectivores and granivores) were negatively associated with urbanization. Enhancement and persistence of avian biodiversity in urban environments probably relies on protecting, maintaining and restoring diverse habitats serving a range of life history strategies. [ABSTRACT FROM AUTHOR]

Body size correlates with most structural and functional components of an organism's phenotype – brain size being a prime example of allometric scaling with animal size. Therefore, comparative studies of brain evolution in vertebrates rely on controlling for the scaling effects of body size variation on brain size variation by calculating brain weight/body weight ratios. Differences in the brain size-body size relationship between taxa are usually interpreted as differences in selection acting on the brain or its components, while selection pressures acting on body size, which are among the most prevalent in nature, are rarely acknowledged, leading to conflicting and confusing conclusions. We address these problems by comparing brain-body relationships from across >1,000 species of birds and non-avian reptiles. Relative brain size in birds is often assumed to be 10 times larger than in reptiles of similar body size. We examine how differences in the specific gravity of body tissues and in body design (e.g., presence/absence of a tail or a dense shell) between these two groups can affect estimates of relative brain size. Using phylogenetic comparative analyses, we show that the gap in relative brain size between birds and reptiles has been grossly exaggerated. Our results highlight the need to take into account differences between taxa arising from selection pressures affecting body size and design, and call into question the widespread misconception that reptile brains are small and incapable of supporting sophisticated behavior and cognition. [ABSTRACT FROM AUTHOR]

It is often hypothesized that larger brains evolved to deal with environmental complexity, by means of enhanced cognition and behavioural flexibility. Decades of research have tried to relate relative brain size to either habitat or social complexity, but often with conflicting results. Which selective pressures favour larger brains and whether they act in the same way in different taxa is unclear, especially given that the majority of studies focused on either mammals or birds. We present the first large-scale comparative study investigating the effect of habitat and social complexity on evolution of brain size in Squamata (lizards and snakes), using a dataset of 171 species. Our analyses confirmed earlier findings that both the degree of limb reduction and the biogeographical origin of a species affect relative brain size and should be controlled for. Habitat complexity had no effect on brain size, and solitary species had larger brains than social species. These results suggest that different selective forces might drive evolution of brain size in Squamata compared with other taxa. Future comparative studies should also consider using other, non-traditional, taxa. This will contribute to a more comprehensive understanding of how the vertebrate brain evolved. [ABSTRACT FROM AUTHOR]

Large-scale phylogenetic studies of animal cognition have revealed robust links between absolute brain volume and species differences in executive function. However, past comparative samples have been composed largely of primates, which are characterized by evolutionarily derived neural scaling rules. Therefore, it is currently unknown whether positive associations between brain volume and executive function reflect a broad-scale evolutionary phenomenon, or alternatively, a unique consequence of primate brain evolution. Domestic dogs provide a powerful opportunity for investigating this question due to their close genetic relatedness, but vast intraspecific variation. Using citizen science data on more than 7000 purebred dogs from 74 breeds, and controlling for genetic relatedness between breeds, we identify strong relationships between estimated absolute brain weight and breed differences in cognition. Specifically, larger-brained breeds performed significantly better on measures of short-term memory and self-control. However, the relationships between estimated brain weight and other cognitive measures varied widely, supporting domain-specific accounts of cognitive evolution. Our results suggest that evolutionary increases in brain size are positively associated with taxonomic differences in executive function, even in the absence of primate-like neuroanatomy. These findings also suggest that variation between dog breeds may present a powerful model for investigating correlated changes in neuroanatomy and cognition among closely related taxa. [ABSTRACT FROM AUTHOR]

Understanding how animal personality (consistent between‐individual behavioural differences) arises has become a central topic in behavioural sciences. This endeavour is complicated by the fact that not only the mean behaviour of individuals (behavioural type) but also the strength of their reaction to environmental change (behavioural plasticity) varies consistently. Personality and cognitive abilities are linked, and we suggest that behavioural plasticity could also be explained by differences in brain size (a proxy for cognitive abilities), since accurate decisions are likely essential to make behavioural plasticity beneficial. We test this idea in guppies (Poecilia reticulata), artificially selected for large and small brain size, which show clear cognitive differences between selection lines. To test whether those lines differed in behavioural plasticity, we reared them in groups in structurally enriched environments and then placed adults individually into empty tanks, where we presented them daily with visual predator cues and monitored their behaviour for 20 days with video‐aided motion tracking. We found that individuals differed consistently in activity and risk‐taking, as well as in behavioural plasticity. In activity, only the large‐brained lines demonstrated habituation (increased activity) to the new environment, whereas in risk‐taking, we found sensitization (decreased risk‐taking) in both brain size lines. We conclude that brain size, potentially via increasing cognitive abilities, may increase behavioural plasticity, which in turn can improve habituation to novel environments. However, the effects seem to be behaviour‐specific. Our results suggest that brain size likely explains some of the variation in behavioural plasticity found at the intraspecific level. [ABSTRACT FROM AUTHOR]

Abstract Background Preterm birth is associated with altered brain development, with younger gestational age (GA) at birth often associated with greater brain volume reduction. Such volume alterations at term equivalent age (TEA) have been found with differing magnitude across different brain regions, although this has mostly been investigated with regards to whole tissue volumes and large-scale subdivisions. In addition to degree of prematurity, many other perinatal factors have been found to influence brain structure and development in infants born preterm. We aimed to clarify the relationships between degree of prematurity and regional brain volumes at TEA, and between perinatal factors and regional brain volumes at TEA, in finer spatial detail. Methods 285 preterm and term-born infants (GA at birth 24.6–42.1 weeks; 145 female; 59 born at term) were scanned at TEA. Data on perinatal factors were obtained by chart review, including sex, multiple birth, birthweight standard deviation (SD) score, postnatal growth and social risk. The Melbourne Children's Regional Infant Brain (M-CRIB) atlas was registered to the current sample, then 100 brain regions were labelled for volumetric analyses. Linear regressions with generalised estimating equations and likelihood ratio tests were performed to investigate whether GA at birth or perinatal factors were associated with regional volumes at TEA. Results Younger GA at birth was associated with smaller volumes at TEA in some regions including bilateral cerebral white matter, middle temporal gyri, amygdalae, pallidum and brainstem. In other regions, younger GA at birth was associated with larger volumes, including in primary visual, motor and somatosensory cortices. Positive associations between perinatal factors and regional volumes at TEA were found in many brain regions for birthweight SD score, and male sex, independent of GA at birth. These associations were seen on both univariable analyses, and multivariable analyses controlling for other perinatal factors. Social risk and multiple birth were generally not associated with regional brain volumes, and postnatal growth was associated with volume in many regions only after adjusting for other perinatal factors. Conclusions These results elucidate regional brain volume differences associated with preterm birth and perinatal factors at a more detailed parcellated level than previously reported, and contribute to understanding of the complex array of correlates of preterm birth. Highlights • Preterm birth was associated with regional volume changes at term equivalent age. • Of 100 regions measured, many were smaller with younger gestational age at birth. • Unexpectedly, some regions were larger in infants born more preterm. • Birthweight and male sex were strongly associated with larger regional volumes. [ABSTRACT FROM AUTHOR]

Sociality is classified as one of the major transitions in the evolution of complexity and much effort has been dedicated to understanding what traits predispose lineages to sociality. Conversely, studies addressing the role of sociality in brain evolution (e.g., the social brain hypothesis) have not focused on particular traits and instead relied largely on measurements of relative brain composition. Hymenoptera range from solitary to advanced social species, providing enticing comparisons for studying sociality and neural trait evolution. Here we argue that measuring the role of sociality in brain evolution will benefit from attending to recent advances in neuroethology and adopting existing phylogenetic comparative methods employed in analysis of non-neural traits. Such analyses should rely on traits we expect to vary at the taxonomic level used in comparative analyses and include phylogenetic structure. We outline the limits of brain size and volumetric interpretation and advocate closer attention to trait stability and plasticity at different levels of organization. We propose neural traits measured at the cellular, circuit, and molecular levels will serve as more robust variables for evolutionary analyses. We include examples of particular traits and specific clades that are well-suited to answer questions about the role of sociality in nervous system evolution. [ABSTRACT FROM AUTHOR]

This study investigates problem solving in one northern ground hornbill (Bucorvus abyssinicus) and two southern ground-hornbills (Bucorvus leadbeateri) in a horizontal string-pulling task. In five conditions, two strings were stretched out on the ground and subjects had to pull the end of the string which was properly connected to an out-of-reach food reward. Two subjects succeeded above chance in choosing a rewarded string over an unrewarded one (parallel and converged conditions), and continued pulling longer strings when the reward did not immediately move closer (coiled condition). One bird additionally understood which string was physically connected to the reward (contact condition). Although this study is preliminary, it highlights the necessity to extend research on physical cognition to other large-brained avian orders in order to better understand the underlying ecological and social selection pressures involved. [ABSTRACT FROM AUTHOR]

Abstract Revealing the effect of brain size on the cognitive abilities of animals is a major challenge in the study of brain evolution. Analysis of the effects of miniaturization on brain function in the smallest insects is especially important, as they are comparable in body size to some unicellular organisms and next to nothing is known about their cognitive abilities. We analyse for the first time the structure of the brain of the adult featherwing beetle Nephanes titan , one of the smallest insects, and results of the first ethological experiments on the capacity of learning in this species. N. titan is capable of associative learning, in spite of the structural modification in its nervous system and the greatly reduced number of neurons compared to the nervous systems of larger insects. Microinsects can become useful model organisms for neurobiology. On the one hand, the structural simplicity and extremely small size of their central nervous system make it possible to study it very efficiently. On the other hand, their learning capacity and retained principal cognitive abilities make them suitable objects for behavioural experiments. Graphical abstract Image 1 Highlights • In spite of the small body size, the brain in Nephanes titan retains all neuropilar centres found in larger insects. • The number of neurons in the nervous system of N. titan is reduced to a small fraction of their number in larger insects. • N. titan, one of the smallest insects, is capable of associative learning. [ABSTRACT FROM AUTHOR]

Introduction: Autism spectrum disorder (ASD) is a syndrome of social communication deficits and repetitive behaviors or restricted interests. While the impairments associated with ASD tend to deteriorate from childhood into adulthood, it is of critical importance that the syndrome is diagnosed at an early age. One means of facilitating this is through understanding how the brain of people with ASD develops from early childhood. Magnetic resonance imaging (MRI) is the method of choice for in vivo and non-invasive investigations of the morphology of the human brain, especially when the subjects are children. In this study, we conducted a systematic review of existing structural MRI studies that have investigated brain size in ASD children of up to 5 years old. Methods: In this study, we systematically reviewed published papers that describe research studies in which the brain size of ASD children has been examined. PubMed and Scopus databases were searched for all relevant original articles that described the use of MRI techniques to study ASD patients who were between 1 and 5 years old. To be included in the review, all studies needed to be cohort and case series that involved at least 10 patients. No time limitations were placed on the searched articles within the inclusion criteria. The exclusion criteria were non-English articles, case reports, and articles that described research involving subjects that were not within the qualifying age range of 1-5 years old.Result: After an initial screening process through which the title, abstracts, and full text of the articles were reviewed to confirm they met the inclusion criteria, a total of 10 relevant articles were studied in depth. All studies found that children with ASD who were within the selected age range had a larger brain size than children without ASD.Discussion: The findings of recent studies indicate that the vast majority of ASD patients exhibit an enlarged brain; however, the extent of the enlargement varies from study to study. As such, further studies are required to develop an understanding of the areas of the brain in which enlargement manifests in children with ASD before the age of five and to verify the significance of the prognostic value of MRI as a non-invasive diagnostic technique that can be employed to detect ASD in young children.Conclusion: Based on the extracted data, brain size was related to the emergence and presence of autism in children who were below school age. The use of MRI represents a functional and non-invasive method of confirming ASD in children who have an initial ASD diagnosis.

It has long been hypothesised that there is a functional correlation between brain size and metabolic rate in vertebrates. The present study tested this hypothesis in wild-caught adult mosquitofish Gambusia holbrooki by testing for an intra-specific association between resting metabolic rate (RMR) and brain size while controlling for variation in body size, and through the examination of the effects of spatial enrichment and laboratory housing on body mass-independent measures of brain size and RMR. Controlling for body mass, there was no relationship between brain size and RMR in wild-caught fish. Contrary to predictions, spatial enrichment caused a decrease in mass-independent brain size, highlighting phenotypic plasticity in the adult brain. As expected, after controlling for differences in body size, wild-caught fish had relatively larger brains than fish that had been maintained in the laboratory for a minimum of six weeks, but wild-caught fish also had significantly lower mass-independent RMR. This study demonstrates that an organisms' housing environment can cause significant plastic changes to fitness related traits including brain size and RMR. We therefore conclude that current standard laboratory housing conditions may cause captive animals to be non-representative of their wild counterparts, potentially undermining the transferability of previous laboratory-based studies of aquatic ectothermic vertebrates to wild populations.