You Move, I Watch, It Matters: Aesthetic Communication in Dance

In this chapter we will introduce a new theory of aesthetics in the performing arts that is based on communication via movement. With a specific focus on dance performances, we propose that movement messages are communicated from performer to spectator. We suggest that the aesthetic impact of dance (and perhaps all performing arts) is a result of successful message-passing between performer and spectator. We show how Grice’s four maxims of successful conversation can be applied to the performance situation. We propose that communication during a performance is interactive and bidirectional. Information being passed from performer to audience is primarily communicated through observed movement kinematics and choreographic structure: We will distinguish between the processing of syntactic information of postures, movements and movement sequences on the one hand, and processing of semantics of movement intentions on the other hand. Aesthetic processing of the movement message will further depend on the spectator’s visual and motor expertise. In a dimensional model of aesthetic appreciation of dance we distinguish between processing fluency and novelty/complexity of information as two distinct sources of movement aesthetics that relate to specific brain mechanisms. Aesthetic judgements of preference and interest will reflect a combination of both implicit processing fluency and explicit aesthetic strategy of the observer. Our theory differs from existing accounts of aesthetic experience in that it emphasises successful communication as the primary source of aesthetic experience. Appreciation of dance in this context is neither just a function of dance movement features (as an objectivist aesthetics suggests) nor of the spectator’s processing fluency (as a subjectivist aesthetics suggests). Instead, our emphasis on communication implies some level of experience-sharing between dancer and spectator

New genetic loci link adipose and insulin biology to body fat distribution.

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms

Defining the role of common variation in the genomic and biological architecture of adult human height

Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants

Genetic studies of body mass index yield new insights for obesity biology

Note: A full list of authors and affiliations appears at the end of the article. Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P 20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.</p