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Abstract Background Fibromyalgia (FM) patients are likely to differ from healthy controls in muscle activity and in reactivity to experimental stress. Methods We compared psychophysiological reactivity to cognitive stress between 51 female FM patients aged 18 to 65 years and 31 age- and sex-matched healthy controls. They underwent a 20-minute protocol consisting of three phases of relaxation and two phases of cognitive stress. We recorded surface electromyography normalized to maximum voluntary muscle contraction (%EMG), the percentage of time with no muscle activity (EMG rest time), and subjective pain and stress intensities. We compared group reactivity using linear modelling and adjusted for psychological and life-style factors. Results The FM patients had a significantly higher mean %EMG (2.2 % vs. 1.0 %, p

Abstract Automated vehicles (AVs) will change the role of the driver, from actively controlling the vehicle to primarily monitoring it. Removing the driver from the control loop could fundamentally change the way that drivers sample visual information from the scene, and in particular, alter the gaze patterns generated when under AV control. To better understand how automation affects gaze patterns this experiment used tightly controlled experimental conditions with a series of transitions from ‘Manual’ control to ‘Automated’ vehicle control. Automated trials were produced using either a ‘Replay’ of the driver’s own steering trajectories or standard ‘Stock’ trials that were identical for all participants. Gaze patterns produced during Manual and Automated conditions were recorded and compared. Overall the gaze patterns across conditions were very similar, but detailed analysis shows that drivers looked slightly further ahead (increased gaze time headway) during Automation with only small differences between Stock and Replay trials. A novel mixture modelling method decomposed gaze patterns into two distinct categories and revealed that the gaze time headway increased during Automation. Further analyses revealed that while there was a general shift to look further ahead (and fixate the bend entry earlier) when under automated vehicle control, similar waypoint-tracking gaze patterns were produced during Manual driving and Automation. The consistency of gaze patterns across driving modes suggests that active-gaze models (developed for manual driving) might be useful for monitoring driver engagement during Automated driving, with deviations in gaze behaviour from what would be expected during manual control potentially indicating that a driver is not closely monitoring the automated system.

Abstract Mental health in a context of international migration is a particularly pressing issue, as migration is recognised as a social determinant of physical and mental health. As Chile is increasingly becoming a receiving country of South-South migration, immigrants face mental health inequities, with regards to outcomes and access to care. In order to identify and synthetize mental healthcare inequities faced by international migrants with regards to locals in Chile, a narrative review of the literature on national mental healthcare policies in Chile and a narrative review of the literature on migrants’ mental healthcare in Chile were conducted, with a focus on describing mental health outcomes, policy environment and persisting gaps and barriers for both topics. The existing literature on mental healthcare in Chile, both for the general population and for international migrants, following the social determinant of health framework and categorised in terms of i) Inequities in mental health outcomes; ii) Description of the mental health policy environment and iii) Identification of the main barriers to access mental healthcare. Despite incremental policy efforts to improve the reach of mental healthcare in Chile, persisting inequities are identified for both locals and international migrants: lack of funding and low prioritisation, exacerbation of social vulnerability in the context of a mixed health insurance system, and inadequacy of mental healthcare services. International migrants may experience specific layers of vulnerability linked to migration as a social determinant of health, nested in a system that exacerbates social vulnerability. Based on the findings, the article discusses how mental health is a privilege for migrant populations as well as locals experiencing layers of social vulnerability in the Chilean context. International migrants’ access to comprehensive and culturally relevant mental healthcare in Chile and other countries is an urgent need in order to contribute to reducing social vulnerability and fostering mechanisms of social inclusion. International migration, social determinants of mental health, mental health inequities, social vulnerability, review.

BackgroundThe COVID-19 pandemic has had an impact on the mental health of international migrants globally. Chile has managed its response to the pandemic in an ongoing context of social unrest and combined regional migratory and humanitarian crisis. The country's population presents a high prevalence of common mental disorders and a high suicide rate, with limited access to mental healthcare. International migrants in Chile represent 8% of the total population, and although a socioeconomically heterogenous group, they face social vulnerability, a range of mental health stressors and additional barriers to access mental healthcare. This study describes the mental health outcomes, stressors, response, and coping strategies perceived by international migrants during the COVID-19 pandemic in Chile.Methods and findingsA qualitative case study was carried out through individual online interviews to 30 international migrants living in Chile during the pandemic and 10 experts of the social and health care sectors. An inductive content analysis was carried out, a process during which the researchers sought to identify patterns and themes derived from the data. Participants experienced mainly negative mental health outcomes, including anxiety and depression symptomatology. Stressors included the virus itself, work, living and socioeconomic conditions, discrimination, fear for their family and distance caring. Institutional responses to address the mental health of international migrants during the pandemic in Chile were limited and participants relied mainly on individual coping strategies.ConclusionsThe pandemic can represent an important opportunity to strengthen mental health systems for the general population as well as for population groups experiencing social vulnerability, if the issues identified and the lessons learned are translated into action at national, regional, and international level. Promoting the mental health of international migrants means recognising migration as a social determinant of mental health and adopting a cross-cultural as well as a Human Rights approach.

Evidence accumulation models provide a dominant account of human decision-making, and have been particularly successful at explaining behavioral and neural data in laboratory paradigms using abstract, stationary stimuli. It has been proposed, but with limited in-depth investigation so far, that similar decision-making mechanisms are involved in tasks of a more embodied nature, such as movement and locomotion, by directly accumulating externally measurable sensory quantities of which the precise, typically continuously time-varying, magnitudes are important for successful behavior. Here, we leverage collision threat detection as a task which is ecologically relevant in this sense, but which can also be rigorously observed and modelled in a laboratory setting. Conventionally, it is assumed that humans are limited in this task by a perceptual threshold on the optical expansion rate-the visual looming-of the obstacle. Using concurrent recordings of EEG and behavioral responses, we disprove this conventional assumption, and instead provide strong evidence that humans detect collision threats by accumulating the continuously time-varying visual looming signal. Generalizing existing accumulator model assumptions from stationary to time-varying sensory evidence, we show that our model accounts for previously unexplained empirical observations and full distributions of detection response. We replicate a pre-response centroparietal positivity (CPP) in scalp potentials, which has previously been found to correlate with accumulated decision evidence. In contrast with these existing findings, we show that our model is capable of predicting the onset of the CPP signature rather than its buildup, suggesting that neural evidence accumulation is implemented differently, possibly in distinct brain regions, in collision detection compared to previously studied paradigms.

Objective: We aim to bridge the gap between naturalistic studies of driver behavior and modern cognitive and neuroscientific accounts of decision making by modeling the cognitive processes underlying left-turn gap acceptance by human drivers. Background: Understanding decisions of human drivers is essential for the development of safe and efficient transportation systems. Current models of decision making in drivers provide little insight into the underlying cognitive processes. On the other hand, laboratory studies of abstract, highly controlled tasks point towards noisy evidence accumulation as a key mechanism governing decision making. However, it is unclear whether the cognitive processes implicated in these tasks are as paramount to decisions that are ingrained in more complex behaviors, such as driving. Results: The drivers' probability of accepting the available gap increased with the size of the gap; importantly, response time increased with time gap but not distance gap. The generalized drift-diffusion model explained the observed decision outcomes and response time distributions, as well as substantial individual differences in those. Through cross-validation, we demonstrate that the model not only explains the data, but also generalizes to out-of-sample conditions. Conclusion: Our results suggest that dynamic evidence accumulation is an essential mechanism underlying left-turn gap acceptance decisions in human drivers, and exemplify how simple cognitive process models can help to understand human behavior in complex real-world tasks. Application: Potential applications of our results include real-time prediction of human behavior by automated vehicles and simulating realistic human-like behaviors in virtual environments for automated vehicles. [ABSTRACT FROM AUTHOR]