Long-read sequencing assays designed to detect potential gene editing events in the myostatin gene revealed distinct haplotype signatures in the Thoroughbred horse population.

We present here the use of targeted, long-read sequencing of the myostatin (MSTN) gene as a model to detect potential gene editing events in Thoroughbred horses. MSTN is a negative regulator of muscle development, making the gene a prime candidate target for gene doping. By sequencing the complete gene in one PCR product, we can catalogue all mutations without the need to produce short-fragment libraries.

Semantic Speech Networks Linked to Formal Thought Disorder in Early Psychosis.

Background And Hypothesis: Mapping a patient's speech as a network has proved to be a useful way of understanding formal thought disorder in psychosis. However, to date, graph theory tools have not explicitly modelled the semantic content of speech, which is altered in psychosis.

Study Design: We developed an algorithm, "netts," to map the semantic content of speech as a network, then applied netts to construct semantic speech networks for a general population sample (N = 436), and a clinical sample comprising patients with first episode psychosis (FEP), people at clinical high risk of psychosis (CHR-P), and healthy controls (total N = 53).

Sensorimotor ability and inhibitory control independently predict attainment in mathematics in children and adolescents.

We previously linked interceptive timing performance to mathematics attainment in 5- to 11-yr-old children, which we attributed to the neural overlap between spatiotemporal and numerical operations. This explanation implies that the relationship should persist through the teenage years. Here, we replicated this finding in adolescents ( = 200, 11-15 yr).

Correction to 'Sensorimotor control dynamics and cultural biases: learning to move in the right (or left) direction'.

[This corrects the article DOI: 10.1098/rsos.160806.

Getting Back Into the Loop: The Perceptual-Motor Determinants of Successful Transitions out of Automated Driving.

Objective: To present a structured, narrative review highlighting research into human perceptual-motor coordination that can be applied to automated vehicle (AV)-human transitions.

Background: Manual control of vehicles is made possible by the coordination of perceptual-motor behaviors (gaze and steering actions), where active feedback loops enable drivers to respond rapidly to ever-changing environments. AVs will change the nature of driving to periods of monitoring followed by the human driver taking over manual control.

Counting on the mental number line to make a move: sensorimotor ('pen') control and numerical processing.

Mathematics is often conducted with a writing implement. But is there a relationship between numerical processing and sensorimotor 'pen' control? We asked participants to move a stylus so it crossed an unmarked line at a location specified by a symbolic number (1-9), where number colour indicated whether the line ran left-right ('normal') or vice versa ('reversed'). The task could be simplified through the use of a 'mental number line' (MNL).

Sensorimotor control dynamics and cultural biases: learning to move in the right (or left) direction.

The nativist hypothesis suggests universal features of human behaviour can be explained by biologically determined cognitive substrates. This nativist account has been challenged recently by evolutionary models showing that the cultural transmission of knowledge can produce behavioural universals. Sensorimotor invariance is a canonical example of a behavioural universal, raising the issue of whether culture can influence not only which skills people acquire but also the development of the sensorimotor system.

Laparoscopic Motor Learning and Workspace Exploration.

Background: Laparoscopic surgery requires operators to learn novel complex movement patterns. However, our understanding of how best to train surgeons' motor skills is inadequate, and research is needed to determine optimal laparoscopic training regimes. This difficulty is confounded by variables inherent in surgical practice, for example, the increasing prevalence of morbidly obese patients presents additional challenges related to restriction of movement because of abdominal wall resistance and reduced intra-abdominal space.

Minimally invasive surgery training using multiple port sites to improve performance.

Background: Structural learning theory suggests that experiencing motor task variation enables the central nervous system to extract general rules regarding tasks with a similar structure - rules that can subsequently be applied to novel situations. Complex minimally invasive surgery (MIS) requires different port sites, but switching ports alters the limb movements required to produce the same endpoint control of the surgical instrument. The purpose of the present study was to determine if structural learning theory can be applied to MIS to inform training methods.