Adaptation and the Brain

2021 ◽  
Author(s):  
Susan D. Healy
Keyword(s):  
Natural Selection ◽  
Selection Pressure ◽  
Technology Innovation ◽  
Brain Size ◽  
Comparative Method ◽  
Brain Regions ◽  
Evolutionary Patterns ◽  
Five Factors ◽  
Pressure Form ◽  
The Brain

The rationale for this work is to make some sort of sense of the seeming myriad of adaptive explanations for why vertebrate brains vary in size. The role that natural selection has played in brain size has been addressed using the comparative method, which allows identification of evolutionary patterns across species. One starting assumption is that brain size is a useful proxy for intelligence and therefore that large-brained animals are more intelligent than smaller-brained animals. Five classes of selection pressure form the majority of explanations: ecology, technology, innovation, sex, and sociality. After chapters in which I describe the difficulties of measuring both brain size and intelligence (cognition), I address the evidence for each of the five factors in turn, reaching the conclusion that although ecology provides the best explanations for variation in the size of brain regions, none of the factors yet offers a robust and compelling explanation for variation in whole brain size. I end by providing the steps I consider necessary to reach such an explanation, steps that I suggest are feasible, if challenging.

scholarly journals Relative Brain Size and Its Relation with the Associative Pallium in Birds

2016 ◽  
Vol 87 (2) ◽  
pp. 69-77 ◽  
Author(s):  
Ferran Sayol ◽  
Louis Lefebvre ◽  
Daniel Sol
Keyword(s):  
Brain Size ◽  
Large Fraction ◽  
Biological Significance ◽  
Size Variation ◽  
Brain Structures ◽  
Brain Regions ◽  
Whole Brain ◽  
Small Areas ◽  
Mosaic Evolution ◽  
The Brain

Despite growing interest in the evolution of enlarged brains, the biological significance of brain size variation remains controversial. Much of the controversy is over the extent to which brain structures have evolved independently of each other (mosaic evolution) or in a coordinated way (concerted evolution). If larger brains have evolved by the increase of different brain regions in different species, it follows that comparisons of the whole brain might be biologically meaningless. Such an argument has been used to criticize comparative attempts to explain the existing variation in whole-brain size among species. Here, we show that pallium areas associated with domain-general cognition represent a large fraction of the entire brain, are disproportionally larger in large-brained birds and accurately predict variation in the whole brain when allometric effects are appropriately accounted for. While this does not question the importance of mosaic evolution, it suggests that examining specialized, small areas of the brain is not very helpful for understanding why some birds have evolved such large brains. Instead, the size of the whole brain reflects consistent variation in associative pallium areas and hence is functionally meaningful for comparative analyses.

scholarly journals Reduced Brain Volume and White Matter Alterations in Shank3-Deficient Rats

2020 ◽  
Author(s):  
Carla Esther Meyer Golden ◽  
Victoria X Wang ◽  
Hala Harony-Nicolas ◽  
Patrick R. Hof ◽  
Joseph Buxbaum
Keyword(s):  
White Matter ◽  
Brain Structure ◽  
Brain Volume ◽  
Diffusion Tensor ◽  
Brain Size ◽  
Brain Regions ◽  
Autism Spectrum ◽  
Wild Type ◽  
Microstructural Alterations ◽  
The Brain

Abstract Background: Mutations and deletions in the SHANK3 synaptic gene cause the major neurodevelopmental features of Phelan-McDermid syndrome (PMS). The SHANK3 gene encodes a key structural component of excitatory synapses that is important for synaptogenesis. PMS is characterized by intellectual disability, autism spectrum disorder, cognitive deficits, physical dysmorphic features, sensory hyporeactivity, and alterations in the size of multiple brain regions. Clinical assessments and limited imaging studies have revealed a reduction in volume of multiple brain regions. They have also found white matter thinning and microstructural alterations to be persistent in patients with PMS. While many of these impairments have been replicated in mouse models of PMS, the brain structure of a rat model has not yet been studied. Methods: We assessed the brain structure of haploinsufficient and homozygous Shank3-deficient rats that model the behavioral deficits of PMS with magnetic resonance and diffusion tensor imaging, and compared their brain structure to wild type littermates.Results: Both gray and white matter structures were smaller in Shank3-deficient rats, leading to an overall reduction in brain size compared to wild type littermates. The largest region to be diminished in size was the neocortex. Some regions involved in sensory processing and white matter regions were also reduced in size. Lastly, the microstructure of two white matter tracts, the external capsule and fornix, was abnormal.Conclusions: Shank3-deficient rats replicate the reduced brain volume and altered white matter phenotypes present in individuals with PMS. Therefore, the brain regions that were altered represent potential cross-species structural biomarkers that warrant further study.

scholarly journals Perception and Deception: Human Beauty and the Brain

2019 ◽  
Vol 9 (4) ◽  
pp. 34 ◽  
Author(s):  
Daniel Yarosh
Keyword(s):  
Natural Selection ◽  
Reproductive Success ◽  
Brain Regions ◽  
Reproductive Fitness ◽  
Body Proportions ◽  
Men And Women ◽  
True Value ◽  
The World ◽  
Costly Signals ◽  
The Brain

Human physical characteristics and their perception by the brain are under pressure by natural selection to optimize reproductive success. Men and women have different strategies to appear attractive and have different interests in identifying beauty in people. Nevertheless, men and women from all cultures agree on who is and who is not attractive, and throughout the world attractive people show greater acquisition of resources and greater reproductive success than others. The brain employs at least three modules, composed of interconnected brain regions, to judge facial attractiveness: one for identification, one for interpretation and one for valuing. Key elements that go into the judgment are age and health, as well as symmetry, averageness, face and body proportions, facial color and texture. These elements are all Costly Signals of reproductive fitness because they are difficult to fake. However, people deceive others using tricks such as coloring hair, cosmetics and clothing styles, while at the same time they also focus on detecting fakes. People may also deceive themselves, especially about their own attractiveness, and use self-signally actions to demonstrate to themselves their own true value. The neuroscience of beauty is best understood by considering the evolutionary pressures to maximize reproductive fitness.

The relationships between brain regions and forelimb dexterity in marsupials (Marsupialia): a comparative test of the principle of proper mass

2000 ◽  
Vol 48 (1) ◽  
pp. 99 ◽  
Author(s):  
Andrew N. Iwaniuk ◽  
John E. Nelson ◽  
Ian Q. Whishaw
Keyword(s):  
Brain Cortex ◽  
Brain Size ◽  
Brain Regions ◽  
Brain Morphology ◽  
Proper Mass ◽  
Contrast Analysis ◽  
Independent Contrast ◽  
The Relationship ◽  
The Brain ◽  
Forelimb Movements

A behavioural index of forelimb dexterity and comparative statistics were used to analyse the relationships between proximal (shoulder, upper and lower forelimb) and distal (wrist, forepaw, digits) forelimb dexterity and four aspects of brain morphology (overall brain, cortex, cerebellum and telencephalon sizes) in 18 species of marsupials. On the basis of the principle of proper mass, it was expected that an increase in forelimb dexterity (either proximal or distal) would be positively correlated with the size of the brain and the three brain components. Using independent contrast analysis to remove the effects of phylogeny revealed three significant correlations between: cortex size and distal dexterity, cerebellum size and proximal dexterity, and telencephalon size and distal dexterity. The relationship between cortex size and distal dexterity was subsequently corroborated by Spearman rank correlations. These results suggest that the execution of finely coordinated forelimb movements may not be dependent upon overall brain size, but may be dependent upon the size of brain components, thus supporting the principle of proper mass.

The Ecological Brain

2021 ◽  
pp. 35-50
Author(s):  
Susan D. Healy
Keyword(s):  
Life History ◽  
Selection Pressure ◽  
Brain Size ◽  
Brain Regions ◽  
Range Size ◽  
Overwhelming Evidence ◽  
Sensory Motor ◽  
The Relationship ◽  
Life History Variables

In this chapter, I examine the evidence for a role for the preeminent selection pressure, ecology, in shaping animal brains and in causing changes in brain size within and among species. I describe what ‘ecology’ has meant in comparative analyses, e.g. foraging, range size, and life history variables. I provide evidence for a clear association between ecology and the size of sensory-motor brain regions and go on to use the relationship between space and the hippocampus to show the generality of this relationship beyond food storing. I discuss the strength of the data showing that migration, foraging, and domestication have caused changes in brain size. I conclude that while there is evidence of domestication, in particular, having changed whole brain size, it is at the level of brain regions that there is overwhelming evidence for an effect of ecology on brain size.

Introduction

2021 ◽  
pp. 1-4
Author(s):  
Susan D. Healy
Keyword(s):  
Natural Selection ◽  
Animal Species ◽  
Brain Size ◽  
Comparative Method ◽  
Selection Pressures ◽  
Mechanistic Explanations ◽  
The Past

This brief introductory chapter begins with the key question to be addressed in the book: why does brain size vary among animal species? It contains a short outline of the book’s contents and establishes the rationale for the examination of the evidence that has been gathered using the comparative method over the past five decades. I explain that the book will be both a review and a critique of the work that has attempted to explain which natural selection pressures led to changes in brain size. This is a focus that, to a large extent, excludes work that addresses mechanistic explanations for brain size.

scholarly journals Evidence for Concerted and Mosaic Brain Evolution in Dragon Lizards

2017 ◽  
Vol 90 (3) ◽  
pp. 211-223 ◽  
Author(s):  
Daniel Hoops ◽  
Marta Vidal-García ◽  
Jeremy F.P. Ullmann ◽  
Andrew L. Janke ◽  
Timothy Stait-Gardner ◽  
...  
Keyword(s):  
Body Size ◽  
Critical Role ◽  
Brain Evolution ◽  
Brain Regions ◽  
Evolution Model ◽  
Brain Morphology ◽  
Evolutionary Patterns ◽  
Mosaic Brain Evolution ◽  
The Brain ◽  
Regional Brain Volume

The brain plays a critical role in a wide variety of functions including behaviour, perception, motor control, and homeostatic maintenance. Each function can undergo different selective pressures over the course of evolution, and as selection acts on the outputs of brain function, it necessarily alters the structure of the brain. Two models have been proposed to explain the evolutionary patterns observed in brain morphology. The concerted brain evolution model posits that the brain evolves as a single unit and the evolution of different brain regions are coordinated. The mosaic brain evolution model posits that brain regions evolve independently of each other. It is now understood that both models are responsible for driving changes in brain morphology; however, which factors favour concerted or mosaic brain evolution is unclear. Here, we examined the volumes of the 6 major neural subdivisions across 14 species of the agamid lizard genus Ctenophorus (dragons). These species have diverged multiple times in behaviour, ecology, and body morphology, affording a unique opportunity to test neuroevolutionary models across species. We assigned each species to an ecomorph based on habitat use and refuge type, then used MRI to measure total and regional brain volume. We found evidence for both mosaic and concerted brain evolution in dragons: concerted brain evolution with respect to body size, and mosaic brain evolution with respect to ecomorph. Specifically, all brain subdivisions increase in volume relative to body size, yet the tectum and rhombencephalon also show opposite patterns of evolution with respect to ecomorph. Therefore, we find that both models of evolution are occurring simultaneously in the same structures in dragons, but are only detectable when examining particular drivers of selection. We show that the answer to the question of whether concerted or mosaic brain evolution is detected in a system can depend more on the type of selection measured than on the clade of animals studied.

scholarly journals Tempo and mode of gene expression evolution in the brain across Primates

2021 ◽  
Author(s):  
Amy L Bauernfeind ◽  
Trisha M Zintel ◽  
Jason Pizzollo ◽  
John J Ely ◽  
Mary Ann Raghanti ◽  
...  
Keyword(s):  
Gene Expression ◽  
Brain Size ◽  
Genetic Regulation ◽  
Brain Regions ◽  
Primate Species ◽  
Primate Brain ◽  
Wide Range ◽  
Expression Evolution ◽  
The Brain ◽  
Gene Expression Evolution

Primate evolution has led to a remarkable diversity of behavioral specializations and pronounced brain size variation among species 1,2. Gene expression provides a promising opportunity for studying the molecular basis of brain evolution, but it has been explored in very few primate species to date e.g. 3,4. To understand the landscape of gene expression evolution across the primate lineage, we generated and analyzed RNA-Seq data from four brain regions in an unprecedented eighteen species. Here we show a remarkable level of variation in gene expression among hominid species, including humans and chimpanzees, despite their relatively recent divergence time from other primates. We found that individual genes display a wide range of expression dynamics across evolutionary time reflective of the diverse selection pressures acting on genes within primate brain tissue. Using our sample that represents an unprecedented 190-fold difference in primate brain size, we identified genes with variation in expression most correlated with brain size and found several with signals of positive selection in their regulatory regions. Our study extensively broadens the context of what is known about the molecular evolution of the brain across primates and identifies novel candidate genes for study of genetic regulation of brain development and evolution.

Management of Glioblastoma Multiforme by Phytochemicals: Applications of Nanoparticle Based Targeted Drug Delivery System

2020 ◽  
Vol 21 ◽  
Author(s):  
Sayed Md Mumtaz ◽  
Gautam Bhardwaj ◽  
Shikha Goswami ◽  
Rajiv Kumar Tonk ◽  
Ramesh K. Goyal ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Glioblastoma Multiforme ◽  
Drug Delivery System ◽  
Delivery System ◽  
Genetic Disorder ◽  
Drug Regimen ◽  
Brain Regions ◽  
Radio Therapy ◽  
Novel Drug ◽  
The Brain

: The Glioblastoma Multiforme (GBM; grade IV astrocytoma) exhort tumor of star-shaped glial cell in the brain. It is a fast-growing tumor that spreads to nearby brain regions specifically to cerebral hemispheres in frontal and temporal lobes. The etiology of GBM is unknown, but major risk factors are genetic disorder like neurofibromatosis and schwanomatosis which develop the tumor in the nervous system. The management of GBM with chemo-radio therapy leads to resistance and current drug regimen like Temozolomide (TMZ) is less efficacious. The reasons behind failure of drugs are due to DNA alkylation in cell cycle by enzyme DNA guanidase and mitochondrial dysfunction. Naturally occurring bio-active compounds from plants known as phytochemicals, serve as vital sources for anti-cancer drugs. Some typical examples include taxol analogs, vinca alkaloids such as vincristine, vinblastine, podophyllotoxin analogs, camptothecin, curcumin, aloe emodin, quercetin, berberine e.t.c. These phytochemicals often act via regulating molecular pathways which are implicated in growth and progression of cancers. However the challenges posed by the presence of BBB/BBTB to restrict passage of these phytochemicals, culminates in their low bioavailability and relative toxicity. In this review we integrated nanotech as novel drug delivery system to deliver phytochemicals from traditional medicine to the specific site within the brain for the management of GBM.

Sign in / Sign up

Export Citation Format

Share Document