Origins and current issues in Quiet Eye research

All sports require precise control of physical actions and vision is essential in providing the information the movement systems needs to perform at a high level. Vision and focus of attention play a critically important role as the ability to direct the gaze to optimal areas in the playing environment, at the appropriate time, is central to success in all sports. One variable that has been consistently found to discriminate elite performers from their near-elite and novice counterparts is the Quiet Eye (QE). In the present paper, I first define the QE, followed by an explanation of its origins as well as the question: why have I pursued this one variable for over 35 years? I then provide a brief overview of QE research, and concentrate on QE training, which has emerged as an effective method for improving both attentional focus and motor performance. In the final section, I discuss some future directions, in particular those related to identifying the neural networks underlying the QE during successful trials

The Quiet Eye: Reply to sixteen commentaries

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An absent presence: Separated child migrants’ caring practices and the fortified neoliberal state

This paper explores the ambivalent positioning of separated child migrants in the UK with a focus on the care that they provide for each other. Drawing on interview data with state and non-state adult stakeholders involved in the immigration-welfare nexus, we consider how children’s care practices are viewed and represented. We argue that separated children’s caring practices assume an absent presence in the discourses mobilised by these actors: either difficult to articulate or represented in negative and morally-laden terms, reflective of the UK’s 'hostile environment' towards migrants and advanced capitalist constructions of childhood. Such an examination sheds light on the complex state attempts to manage the care and migration regimes, and the way that care can serve as a way of making and marking inclusions and exclusions. Here we emphasise the political consequences for separated child migrants in an age of neoliberal state retrenchment from public provision of care and rising xenophobic nationalism

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Building a transdisciplinary expert consensus on the cognitive drivers of performance under pressure: An international multi-panel Delphi study

IntroductionThe ability to perform optimally under pressure is critical across many occupations, including the military, first responders, and competitive sport. Despite recognition that such performance depends on a range of cognitive factors, how common these factors are across performance domains remains unclear. The current study sought to integrate existing knowledge in the performance field in the form of a transdisciplinary expert consensus on the cognitive mechanisms that underlie performance under pressure.MethodsInternational experts were recruited from four performance domains [(i) Defense; (ii) Competitive Sport; (iii) Civilian High-stakes; and (iv) Performance Neuroscience]. Experts rated constructs from the Research Domain Criteria (RDoC) framework (and several expert-suggested constructs) across successive rounds, until all constructs reached consensus for inclusion or were eliminated. Finally, included constructs were ranked for their relative importance.ResultsSixty-eight experts completed the first Delphi round, with 94% of experts retained by the end of the Delphi process. The following 10 constructs reached consensus across all four panels (in order of overall ranking): (1) Attention; (2) Cognitive Control—Performance Monitoring; (3) Arousal and Regulatory Systems—Arousal; (4) Cognitive Control—Goal Selection, Updating, Representation, and Maintenance; (5) Cognitive Control—Response Selection and Inhibition/Suppression; (6) Working memory—Flexible Updating; (7) Working memory—Active Maintenance; (8) Perception and Understanding of Self—Self-knowledge; (9) Working memory—Interference Control, and (10) Expert-suggested—Shifting.DiscussionOur results identify a set of transdisciplinary neuroscience-informed constructs, validated through expert consensus. This expert consensus is critical to standardizing cognitive assessment and informing mechanism-targeted interventions in the broader field of human performance optimization

Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study

Introduction: The multiorgan impact of moderate to severe coronavirus infections in the post-acute phase is still poorly understood. We aimed to evaluate the excess burden of multiorgan abnormalities after hospitalisation with COVID-19, evaluate their determinants, and explore associations with patient-related outcome measures. Methods: In a prospective, UK-wide, multicentre MRI follow-up study (C-MORE), adults (aged ≥18 years) discharged from hospital following COVID-19 who were included in Tier 2 of the Post-hospitalisation COVID-19 study (PHOSP-COVID) and contemporary controls with no evidence of previous COVID-19 (SARS-CoV-2 nucleocapsid antibody negative) underwent multiorgan MRI (lungs, heart, brain, liver, and kidneys) with quantitative and qualitative assessment of images and clinical adjudication when relevant. Individuals with end-stage renal failure or contraindications to MRI were excluded. Participants also underwent detailed recording of symptoms, and physiological and biochemical tests. The primary outcome was the excess burden of multiorgan abnormalities (two or more organs) relative to controls, with further adjustments for potential confounders. The C-MORE study is ongoing and is registered with ClinicalTrials.gov, NCT04510025. Findings: Of 2710 participants in Tier 2 of PHOSP-COVID, 531 were recruited across 13 UK-wide C-MORE sites. After exclusions, 259 C-MORE patients (mean age 57 years [SD 12]; 158 [61%] male and 101 [39%] female) who were discharged from hospital with PCR-confirmed or clinically diagnosed COVID-19 between March 1, 2020, and Nov 1, 2021, and 52 non-COVID-19 controls from the community (mean age 49 years [SD 14]; 30 [58%] male and 22 [42%] female) were included in the analysis. Patients were assessed at a median of 5·0 months (IQR 4·2–6·3) after hospital discharge. Compared with non-COVID-19 controls, patients were older, living with more obesity, and had more comorbidities. Multiorgan abnormalities on MRI were more frequent in patients than in controls (157 [61%] of 259 vs 14 [27%] of 52; p<0·0001) and independently associated with COVID-19 status (odds ratio [OR] 2·9 [95% CI 1·5–5·8]; padjusted=0·0023) after adjusting for relevant confounders. Compared with controls, patients were more likely to have MRI evidence of lung abnormalities (p=0·0001; parenchymal abnormalities), brain abnormalities (p<0·0001; more white matter hyperintensities and regional brain volume reduction), and kidney abnormalities (p=0·014; lower medullary T1 and loss of corticomedullary differentiation), whereas cardiac and liver MRI abnormalities were similar between patients and controls. Patients with multiorgan abnormalities were older (difference in mean age 7 years [95% CI 4–10]; mean age of 59·8 years [SD 11·7] with multiorgan abnormalities vs mean age of 52·8 years [11·9] without multiorgan abnormalities; p<0·0001), more likely to have three or more comorbidities (OR 2·47 [1·32–4·82]; padjusted=0·0059), and more likely to have a more severe acute infection (acute CRP >5mg/L, OR 3·55 [1·23–11·88]; padjusted=0·025) than those without multiorgan abnormalities. Presence of lung MRI abnormalities was associated with a two-fold higher risk of chest tightness, and multiorgan MRI abnormalities were associated with severe and very severe persistent physical and mental health impairment (PHOSP-COVID symptom clusters) after hospitalisation. Interpretation: After hospitalisation for COVID-19, people are at risk of multiorgan abnormalities in the medium term. Our findings emphasise the need for proactive multidisciplinary care pathways, with the potential for imaging to guide surveillance frequency and therapeutic stratification

Expert-novice differences in knowledge structures of action

A series of three studies was conducted to determine differences between three groups of gymnasts in a perception - eye movement study, in a problem solving - resequencing study and in an introspection study. Thirty subjects were selected and assigned to three groups based on their expertise in gymnastics. Groups one and two, elite and intermediate gymnasts, were selected from a nationally ranked gymnastic club. Group three, the novice gymnasts, were members of a championship soccer team. All subjects were female, average age 13.2 years. Differences between the groups were consistent across the three studies, lending support to the notion that as skill develops there are changes in the internal representation or knowledge structure of the athlete that are detectable by means of perception, problem solving and other cognitive tasks. In the perception study, the eye movements of the subjects were taken as they viewed slow motion slide presentations of world class gymnasts performing basic compulsory moves. In the problem solving study, the subjects resequenced sets of photos taken from the slide series used in the first experiment. The third study was an introspection study in which each subject was shown the intact photographic sequences and asked to verbally identify where in the movement they concentrated their attention, if they were performing the movement in competition. In the total sequence analysis of eye movements, differences between the elite and intermediate/novice gymnasts were confirmed by multivariate analyses in two of the six sequences and by univariate analyses of separate body segments in four of the six sequences. MANOVA also detected differences between the intermediates and novices in three of the six sequences and by univariate analysis of separate body segments in five of the six sequences. Differences were observed between the groups in how they observed the head, hips, and offbody factors. In the phase analysis of one sequence, the beam handstand, differences in eye movements were found between the groups relative to whether the beginning, mid or end phases of the sequence were being analysed. The results from the resequencing study confirmed that the elite gymnasts were both faster and more accurate than the intermediates in reconstructing the gymnastic sequences; the intermediates in turn were both faster and committed fewer errors than the novices. It was also found that the more difficult the gymnastic sequence, the more time needed to reconstruct and the greater the number of errors. The final two aspects of the research also found significant differences between the groups. First, eye fixations to specific body segments were predictive of resequencing time scores. A multiple regression analysis showed that 43.3% of the variance in the resequencing time scores was accounted for by eye fixation patterns. Second, across the six sequences, the introspection reports were congruent with the eye movement data (70.4%) but the groups differed in their selection of body segments. A log linear model analysis of the count data showed that the elite gymnasts were lower body oriented (63.5%), the intermediates were upper body oriented (73.9%), while the novices were 60% upper and 40% lower. In summary, the results were clear in showing that when asked to observe gymnastic skills or solve problems with or introspect about stimulus material from gymnastics the groups differed consistently. These differences, of mutifaceted nature, were taken as contributing to the identification of relevant attributes of the knowledge structure of gymnasts. Implications of these findings were discussed in terms of their applicability to research on skill acquisition, and their potential role as diagnostic and prescriptive factors in teaching and coaching.Graduate and Postdoctoral StudiesGraduat