Naturalistic Setting Research Articles

Constructing moments of insight: accounting for learning in classroom discussions on narrative fiction reading

ABSTRACT This article explores booktalk situations in which student teachers discuss a narrative text and construct in situ accounts of learning when recalling their reading. This study contributes to knowledge about the role of narrative fiction in general educational practice, as well as to the understanding of situated constructions of learning. Video and audio recordings were made in a seminar involving two groups of five master’s students, and the situated interaction was analysed using discursive reception theory. The results show that students construct what are here called moments of insight: a social action constructing a significant shift in participants’ self-described cognitive or emotional development, related to the reading. Students construct themselves as having been changed as both teachers and learners, either through the reading experience or when reflecting upon that experience. This demonstrates both how booktalk enables students to reflect upon their reading and their own cognitive development, and how situated classroom interaction studies enable us to engage with student learning in a naturalistic setting. This has an impact on our view of narrative fiction in educational practice, as well as educational research methods and practices.

Picturing self-harm: Investigating flash-forward mental imagery as a proximal and modifiable driver of non-suicidal self-injury.

Non-suicidal self-injury (NSSI) is theorized to be reinforced by its emotional consequences. Mental images of NSSI are commonly reported as occurring prior to NSSI. Based on the known functional properties of anticipatory mental imagery as an emotional and motivational amplifier, this study investigated whether NSSI mental imagery constitutes a proximal and dynamic mechanism underpinning NSSI risk. An intensive ecological momentary assessment (EMA) study was conducted to track the occurrence and characteristics of NSSI mental imagery alongside NSSI urge and behavior in naturalistic settings. A sample of N = 43 individuals aged 17 to 24 with a history of repetitive NSSI completed EMA surveys seven times a day for 14 days. Mental preoccupation in the form of NSSI mental imagery-based flash-forwards to the actions, bodily sensations, and emotional benefits of NSSI was found to occur when NSSI urge was high but not when urge was low. Critically, objective cross-panel analyses showed that higher frequencies of NSSI imagery occurrence predicted greater future NSSI urge and increased likelihood of acting on urge, over and above current urge. Mental imagery of NSSI is not simply an epiphenomenal by-product of NSSI urge and may constitute a dynamic and proximal novel intervention target.

Stair Climbing Improves Cognitive Switching Performance and Mood in Healthy Young Adults: A Randomized Controlled Crossover Trial

Although stair-climbing intervals provide a simple mode of physical activity that can be easily carried out in naturalistic settings and incorporated into the daily lives of a significant proportion of the global population, addressing physical inactivity issues, very little research has focused on the psychological benefits of stair climbing. To address this, the current prospectively registered randomized controlled crossover trial tested whether brief bouts of stair climbing (6 × 1 min intervals) elicit immediate subsequent improvements in cognitive performance and mood in a sample of healthy young adults (final sample: n = 52, 50% female, age range 18–24 years), with consideration of sex, physical activity habits, and exercise intensity as potentially relevant variables. Compared to a no-exercise control session, following the stair climbing participants exhibited superior cognitive switching performance and reported feeling more energetic and happy. In addition, linear regression analyses linked higher stair-climbing intensity (indicated by heart-rate data) to faster response latencies. None of the effects depended on sex or physical activity habits, which implies that males and females can benefit irrespective of their current physical activity habits. Collectively, these results demonstrate that interval stair climbing can confer immediate psychological benefits, providing further evidence in support of stair climbing as a promising means to address physical inactivity issues. TRN: ACTRN12619000484145, Date of registration: 25/03/2019.

Exposure to Sublethal Concentrations of Lead (Pb) Affects Ecologically Relevant Behaviors in House Sparrows (Passer domesticus)

Global contamination of environments with lead (Pb) poses threats to many ecosystems and populations. While exposure to Pb is toxic at high concentrations, recent literature has shown that lower concentrations can also cause sublethal, deleterious effects. However, there remains relatively little causal investigation of how exposure to lower concentrations of environmental Pb affects ecologically important behaviors. Behaviors often represent first-line responses of an organism and its internal physiological, molecular, and genetic responses to a changing environment. Hence, better understanding how behaviors are influenced by pollutants such as Pb generates crucial information on how species are coping with the effects of pollution more broadly. To better understand the effects of sublethal Pb on behavior, we chronically exposed adult wild-caught, captive house sparrows (Passer domesticus) to Pb-exposed drinking water and quantified a suite of behavioral outcomes: takeoff flight performance, activity in a novel environment, and in-hand struggling and breathing rate while being handled by an experimenter. Compared to controls (un-exposed drinking water), sparrows exposed to environmentally relevant concentrations of Pb exhibited decreases in takeoff flight performance and reduced movements in a novel environment following 9–10 weeks of exposure. We interpret this suite of results to be consistent with Pb influencing fundamental neuro-muscular abilities, making it more difficult for exposed birds to mount faster movements and activities. It is likely that suppression of takeoff flight and reduced movements would increase the predation risk of similar birds in the wild; hence, we also conclude that the effects we observed could influence fitness outcomes for individuals and populations altering ecological interactions within more naturalistic settings.

Event detection and classification from multimodal time series with application to neural data

The detection of events in time-series data is a common signal-processing problem. When the data can be modeled as a known template signal with an unknown delay in Gaussian noise, detection of the template signal can be done with a traditional matched filter. However, in many applications, the event of interest is represented in multimodal data consisting of both Gaussian and point-process time series. Neuroscience experiments, for example, can simultaneously record multimodal neural signals such as local field potentials (LFPs), which can be modeled as Gaussian, and neuronal spikes, which can be modeled as point processes. Currently, no method exists for event detection from such multimodal data, and as such our objective in this work is to develop a method to meet this need. Here we address this challenge by developing the multimodal event detector (MED) algorithm which simultaneously estimates event times and classes. To do this, we write a multimodal likelihood function for Gaussian and point-process observations and derive the associated maximum likelihood estimator of simultaneous event times and classes. We additionally introduce a cross-modal scaling parameter to account for model mismatch in real datasets. We validate this method in extensive simulations as well as in a neural spike-LFP dataset recorded during an eye-movement task, where the events of interest are eye movements with unknown times and directions. We show that the MED can successfully detect eye movement onset and classify eye movement direction. Further, the MED successfully combines information across data modalities, with multimodal performance exceeding unimodal performance. This method can facilitate applications such as the discovery of latent events in multimodal neural population activity and the development of brain-computer interfaces for naturalistic settings without constrained tasks or prior knowledge of event times.

Virtual Reality Relaxation for Stress in Young Adults: A Remotely Delivered Pilot Study in Participants’ Homes

AbstractHigh stress levels experienced by young adults were exacerbated by COVID-19 and traditional stress management techniques can be challenging. Virtual reality (VR) relaxation appears promising and is accessible remotely; however, research on young adults is limited, especially in naturalistic settings. This remotely delivered and controlled mixed-methods study investigated feasibility and acceptability of VR relaxation for young adults (N = 23, mean age = 22.96) at home during the pandemic. VR participants (N = 11) were asked to complete daily VR relaxation sessions (scenes of virtual beaches, mountains, the sea, and more) for a 14-day intervention period, alongside visual analogue scales (VAS) of psychological well-being pre- and post-VR sessions. Post-intervention, VR participants completed semi-structured interviews. Control participants (N = 12) received no intervention. Both groups completed outcome measures of psychological well-being pre- and post-intervention periods to evaluate feasibility of remote data collection. VAS results indicated acceptability of daily VR, with significant short-term increases in relaxation, happiness, and connectedness to nature, and decreases in stress, anxiety, and sadness within VR participants. VR usage and 100% completion of outcome measures indicated feasibility of VR relaxation and remote data collection. Qualitative findings suggest participants found the VR relaxing, but interest diminished over time and technical issues hindered user experience. This suggests a more informal, less prescriptive frequency of VR use may be more appealing for young adults, although adherence may relate to technical issues. Greater interactivity and remote technical assistance within VR could increase engagement. Future research should investigate optimal frequency of use, longer-term impact, and technical issues with a larger sample.

Testing the effect of descriptive dynamic social norm messages on meatless food purchases in Aotearoa New Zealand and UK university food outlets

A reduction in meat consumption is urgently needed to address multiple harms related to the environment, animal welfare, and human health. Social norm interventions have been found to be feasible and effective at shifting consumer behaviour, however, evidence related to meat reduction behaviour is limited – especially in naturalistic settings. Two social norm interventions were conducted at university food outlets in Aotearoa New Zealand and in the UK, to assess the effect of social norm messages on meat and meatless food purchases. Both interventions consisted of a week-long intervention phase during which descriptive dynamic social norm messages referring to reduced meat intake were displayed in the food outlets (study one and two) and via social media (study two). Meat and meatless food purchases during the interventions were compared to pre- and post-intervention weeks. Surveys were also conducted with a sub-group of customers to assess demographics, dietary habits, and awareness of the social norm message. In both studies, there was no significant effect of the social norm interventions on meat or meatless food purchases, and awareness of the norms message across both studies was low. These findings indicate that social norm interventions alone may be ineffective in encouraging meat reduction. Implications for interventions to reduce meat intake to support pro-environmental food choices are discussed.

Implementation of an Ecological Momentary Assessment (EMA) in Naturalistic Psychotherapy Settings: Qualitative Insights from Patients, Therapists, and Supervisors Perspectives.

Ecological momentary assessment (EMA) allows measuring intra-individual processes moment by moment, identifying and modeling, in a naturalistic way, individual levels and changes in different psychological processes. However, active EMA requires a high degree of adherence, as it implies a significant burden for patients. Moreover, there is still no consensus on standardized procedures for implementation. There have been few results in detecting desirable characteristics for the design and implementation of an EMA device. Studies that address these issues from the perspectives of participants in psychotherapeutic processes are needed. To analyze the perspectives of patients, therapists and supervisors on the implementation of an EMA device in a psychotherapeutic treatment for depression. The sample will include eight patients, eleven therapists and five supervisors, taken from a research project that implemented an EMA system for monitoring the dynamics of affectivity at the beginning of psychotherapies for depression. Semi-structured interviews specific to each group are being conducted and analyzed from a qualitative approach based on consensual qualitative research (CQR). Participants reported having a positive evaluation of the study's informational resources and implementation. Difficulties were expressed in responding in the morning hours and the importance of having a customized EMA that is tailored to the needs of the patients was expressed. Furthermore, patients and therapists agreed that the impact of the use of the monitoring system on treatment was neutral or positive. In contrast, patients considered the EMA to be positive for their daily life.

Clinical differences between outpatients with and without internet addiction and emotional disorders: a prospective naturalistic outcome study.

as internet use becomes increasingly ingrained in contemporary society, internet addiction (IA) has emerged as a global public health concern. There is ongoing debate regarding whether IA represents a distinct psychological disorder or a secondary manifestation of other existing disorders. This study aimed to examine the pathological relationship between IA and emotional disorders (ED). this study compared pre-treatment characteristics and treatment process of three groups of patients (N=1292) in a naturalistic treatment setting: IA only, ED only, and comorbidity of IA and ED. the IA only group differed from the other groups by reporting the highest levels of life satisfaction, adaptive emotion regulation, as well as risk behavior urges at intake. In addition, the IA only group displayed the lowest level of depressive and anxiety symptoms throughout the treatment. our findings contribute to a better understanding of the discreteness of IA as a potential psychological disorder and inform more effective treatment strategies for IA and its comorbid conditions.

Theory-Guided Feature Selection in Cybercrime Data Science

Cybercrime data science is being significantly hampered by the presence of 'noisy' features within vast and complex datasets. We draw from the theoretical insights of the behavioural sciences to propose a feature selection model to enrich and improve the value and interpretability of cybercrime intelligence datasets. We piloted our theory-guided feature selection approach on a subset of intelligence datafeeds provided by a global fraud and cybercrime tracking firm. The results of the proposed social influence feature selection model show significant improvement in the interpretability of the machine learning-based exploratory analysis and advanced visualization techniques in an experimental setting. The feature selection model yielded rich insights about cybercriminal psychological tactics from social engineering scam data and has potential applicability in the areas of cyberthreat response and cybersecurity awareness training. Our study shows the value of an interdisciplinary theory-guided approach to cybercrime data analytics that integrates scientific knowledge from the behavioural sciences and data science expertise. Our paper concludes by suggesting avenues for future research on theory-guided feature selection seeking to incorporate behavioural science knowledge in cybercrime data science. We intend to refine, automate, evaluate, and scale our model in future research to assess its effectiveness in producing insights about cybercriminal activities and informing decision-making in a naturalistic and real-time setting. In future research efforts, we aim to automate the encoding of features and apply a wider range of machine learning tools and evaluation metrics to extract more meaningful insights into cybercriminal psychological tactics. We also intend to refine our model on larger datasets to enhance its efficiency and responsiveness to real-time cybercrime data. We call on data scientists and cybercrime domain experts to work together to apply theory-guided feature selection to improve processes of knowledge discovery that enhance our cybersecurity capabilities.

Implementing Approach-Bias Modification as Add-On to Varieties of Clinical Treatment for Alcohol Use Disorders: Results of a Multicenter RCT

Introduction: Abstinence rates after inpatient treatment for alcohol use disorder (AUD) are modest (1-year rate around 50%). One promising approach is to re-train the automatically activated action tendency to approach alcohol-related stimuli (alcohol-approach bias) in AUD patients, as add-on to regular treatment. As efficacy has been demonstrated in well-controlled randomized controlled trials, the important next step is to add alcohol-approach-bias modification (alcohol-ApBM) to varieties of existing treatments for AUD. Therefore, this prospective, multicenter implementation-RCT examined whether adding alcohol-ApBM to regular treatments (various abstinence-oriented treatments including both individual and group-based interventions) would significantly increase abstinence rates compared to receiving regular treatment only, in a variety of naturalistic settings with different therapeutic approaches. Methods: A total of 1,586 AUD inpatients from 9 German rehabilitation clinics were randomly assigned to receive either ApBM in addition to regular treatment or not. Training satisfaction of patients and therapists was measured after training. Success rates were determined at 3, 6, and 12 months post-treatment. Results: Return rates of the post-treatment assessments varied greatly between clinics, often being low (18–76%). Nevertheless, ApBM significantly increased success rates after 3 months. After 6 and 12 months, the differences were not significant. ApBM was evaluated mostly positively by patients and therapists. Discussion/Conclusion: ApBM was an effective add-on to regular treatment of AUD at 3 months follow-up, across a variety of AUD treatment settings. However, low return rates for the clinical outcomes reduced the effect size of ApBM considerably. The application of ApBM proved feasible in varying clinical settings, offering the opportunity to modify automatic processes and to promote abstinence.

Attention-sensitive signalling by 7- to 20-month-old infants in a comparative perspective.

Attention-sensitive signalling is the pragmatic skill of signallers who adjust the modality of their communicative signals to their recipient's attention state. This study provides the first comprehensive evidence for its onset and development in 7-to 20-month-olds human infants, and underlines its significance for language acquisition and evolutionary history. Mother-infant dyads (N = 30) were studied in naturalistic settings, sampled according to three developmental periods (in months); [7-10], [11-14], and [15-20]. Infant's signals were classified by dominant perceptible sensory modality and proportions compared according to their mother's visual attention, infant-directed speech and tactile contact. Maternal visual attention and infant-directed speech were influential on the onset and steepness of infants' communicative adjustments. The ability to inhibit silent-visual signals towards visually inattentive mothers (unimodal adjustment) predated the ability to deploy audible-or-contact signals in this case (cross-modal adjustment). Maternal scaffolding of infant's early pragmatic skills through her infant-directed speech operates on the facilitation of infant's unimodal adjustment, the preference for oral over gestural signals, and the audio-visual combinations of signals. Additionally, breakdowns in maternal visual attention are associated with increased use of the audible-oral modality/channel. The evolutionary role of the sharing of attentional resources between parents and infants into the emergence of modern language is discussed.

Exploring the Neural Correlates of Flow Experience with Multifaceted Tasks and a Single-Channel Prefrontal EEG Recording.

Flow experience, characterized by deep immersion and complete engagement in a task, is highly recognized for its positive psychological impacts. However, previous studies have been restricted to using a single type of task, and the exploration of its neural correlates has been limited. This study aimed to explore the neural correlates of flow experience with the employment of multifaceted flow-induction tasks. Six tasks spanning mindfulness, artistic tasks, free recall, and varying levels of Tetris complexity (easy, flow, and hard conditions) were employed to have relatively complete coverage of the known flow-induction tasks for a better induction of individualized flow experience. Twenty-eight participants were recruited to perform these six tasks with a single-channel prefrontal EEG recording. Significant positive correlations were observed between the subjective flow scores of the individual's best-flow-experience task and the EEG activities at the delta, gamma, and theta bands, peaking at latencies around 2 min after task onset. The outcomes of regression analysis yield a maximum R2 of 0.163. Our findings report the EEG correlates of flow experience in naturalistic settings and highlight the potential of portable and unobtrusive EEG technology for an objective measurement of flow experience.

A Deep Learning Approach to Analyzing Continuous-Time Cognitive Processes.

The dynamics of the mind are complex. Mental processes unfold continuously in time and may be sensitive to a myriad of interacting variables, especially in naturalistic settings. But statistical models used to analyze data from cognitive experiments often assume simplistic dynamics. Recent advances in deep learning have yielded startling improvements to simulations of dynamical cognitive processes, including speech comprehension, visual perception, and goal-directed behavior. But due to poor interpretability, deep learning is generally not used for scientific analysis. Here, we bridge this gap by showing that deep learning can be used, not just to imitate, but to analyze complex processes, providing flexible function approximation while preserving interpretability. To do so, we define and implement a nonlinear regression model in which the probability distribution over the response variable is parameterized by convolving the history of predictors over time using an artificial neural network, thereby allowing the shape and continuous temporal extent of effects to be inferred directly from time series data. Our approach relaxes standard simplifying assumptions (e.g., linearity, stationarity, and homoscedasticity) that are implausible for many cognitive processes and may critically affect the interpretation of data. We demonstrate substantial improvements on behavioral and neuroimaging data from the language processing domain, and we show that our model enables discovery of novel patterns in exploratory analyses, controls for diverse confounds in confirmatory analyses, and opens up research questions in cognitive (neuro)science that are otherwise hard to study.

“Some People Sit, Some People Stand, That’s Just What We Do”: a Qualitative Exploration of Sit-Stand Desk Use in Naturalistic Settings

Prolonged sedentary behaviour is associated with poor health. Office-based workers spend much of the working day sitting. Sit-stand desks have become a popular intervention, but real-life experiences of the value of sit-stand desks remain relatively unexplored outside of research-led interventions. A qualitative study was therefore undertaken to explore real-life experiences, including perceived barriers, and facilitators of using sit-stand desks. Six focus-group interviews were undertaken with a total of 34 desk-based employees in North-West England. Interviews were transcribed and analysed using thematic analysis. Three main themes emerged: The Sedentary Office, Motivators, and The Active Office. The Sedentary Office highlighted participants’ frustration with an increasingly sedentary office environment. Motivators to reducing sitting time were knowledge of the health consequences of prolonged sitting, previous (ill) health, and the potential benefits expected. The Active Office highlighted the importance of control, choice, enhanced interaction with colleagues, and the benefits associated with moving more and enhancing an overall sense of workplace wellbeing. Perceived benefits, facilitators, and barriers - experienced and observed – from sit-stand desk use in the real world were examined, thus contributing to important discussions of transferability. Overall, the study shed light on the perceived facilitators, benefits, and drawbacks of sit-stand desk work whilst also giving evidence of the real-world acceptability and research translation of sit-stand desk use. Future research should examine this in multiple contexts and should explore implications of an increasing prevalence in home working.

The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games-Results from 8 Years of Naturalistic Interventions.

Mate Marote is an open-access cognitive training software aimed at children between 4 and 8 years old. It consists of a set of computerized games specifically tailored to train and evaluate Executive Functions (EF), a class of processes critical for purposeful, goal-directed behavior, including working memory, planning, flexibility, and inhibitory control. Since 2008, several studies were performed with this software at children's own schools in interventions supervised in-person by cognitive scientists. After 2015, we incorporated naturalistic, yet controlled, interventions with children's own teachers' help. The platform includes a battery of standardized tests, disguised as games, to assess children's EF. The main question that emerges is whether the results, obtained with these traditional tasks but conducted without the presence of researchers, are comparable to those widely reported in the literature, that were obtained in more supervised settings. In this study, we were able to replicate the expected difficulty and age effects in at least one of the analyzed dependent variables of each employed test. We also report important discrepancies between the expected and the observed response time patterns, specifically for time-constrained tasks. We hereby discuss the benefits and setbacks of a new possible strategy for this type of assessment in naturalistic settings. We conclude that this battery of established EF tasks adapted for its remote usage is appropriate to measure the expected mental processes in naturalistic settings, enriching opportunities to upscale cognitive training interventions at schools. These types of tools can constitute a concerted strategy to bring together educational neuroscience research and real-life practice.

Acoustic and prosodic speech features reflect physiological stress but not isolated negative affect: a multi-paradigm study on psychosocial stressors

Heterogeneity in speech under stress has been a recurring issue in stress research, potentially due to varied stress induction paradigms. This study investigated speech features in semi-guided speech following two distinct psychosocial stress paradigms (Cyberball and MIST) and their respective control conditions. Only negative affect increased during Cyberball, while self-reported stress, skin conductance response rate, and negative affect increased during MIST. Fundamental frequency (F0), speech rate, and jitter significantly changed during MIST, but not Cyberball; HNR and shimmer showed no expected changes. The results indicate that observed speech features are robust in semi-guided speech and sensitive to stressors eliciting additional physiological stress responses, not solely decreases in negative affect. These differences between stressors may explain literature heterogeneity. Our findings support the potential of speech as a stress level biomarker, especially when stress elicits physiological reactions, similar to other biomarkers. This highlights its promise as a tool for measuring stress in everyday settings, considering its affordability, non-intrusiveness, and ease of collection. Future research should test these results' robustness and specificity in naturalistic settings, such as freely spoken speech and noisy environments while exploring and validating a broader range of informative speech features in the context of stress.

Measuring Upper Extremity Activity of Children With Unilateral Cerebral Palsy Using Wrist-Worn Accelerometers: A Pilot Study.

Children with unilateral cerebral palsy (UCP) have poor strength and movement control on one side of their body, leading to impaired bimanual coordination skills. To compare duration and intensity of all-day habitual movement of the dominant and nondominant upper extremities (UEs) in typically developing (TD) children and children with UCP. Two-group observational study. Children's naturalistic settings. Convenience sample of 9 TD children and 9 children with UCP. Children wore accelerometers on both wrists all day and night for 1 wk. We compared the extent of asymmetry in bilateral arm use (intensity and duration) between the 2 groups. Compared with TD children who use both UEs equally, children with UCP were more likely to use their dominant or unaffected UE than their nondominant or affected UE during daily activities. There were no differences between groups in dominant UE activity. However, children with UCP engaged in lower levels of moderate to vigorous activity and greater levels of light activity with their nondominant or affected UE than their TD peers. Wrist-worn accelerometry can provide objective information on real-world habitual activity with both arms in children. Accelerometers are nonintrusive, easy to use, and well tolerated by children, and they allow prolonged monitoring of UE activity outside therapeutic contexts. Occupational therapists can use wrist-worn accelerometers as sensitive tools to assess asymmetries in UE use at baseline and as an outcome measure to assess the efficacy of behavioral interventions and carryover into real-world settings among children with UCP. Plain-Language Summary: This pilot study provides promising evidence that supports the use of wrist-worn accelerometry as an accurate, easy-to-use, and objective assessment tool for children with unilateral cerebral palsy (UCP) to detect asymmetries in bilateral real-world arm activity at baseline and after intensive occupational therapy interventions to improve arm function. The authors used wrist-worn accelerometry for one week with 9 typically developing (TD) children and 9 children with UCP to compare dominant or unaffected versus nondominant or affected upper extremity (UE) use for intensity and duration of activity. Compared with TD children, children with UCP had lower relative intensity of activity in the nondominant UE than the dominant UE. Wrist-worn accelerometers seem to be a sensitive measure to detect asymmetries in bilateral all-day UE use in children with UCP. The findings have implications for the use of wrist-worn accelerometers as an outcome measure to assess the efficacy of intensive therapies to improve real-world affected UE activity and bimanual function among children with UCP.

Dynamic threat-reward neural processing under semi-naturalistic ecologically relevant scenarios.

Studies of affective neuroscience have typically employed highly controlled, static experimental paradigms to investigate the neural underpinnings of threat and reward processing in the brain. Yet our knowledge of affective processing in more naturalistic settings remains limited. Specifically, affective studies generally examine threat and reward features separately and under brief time periods, despite the fact that in nature organisms are often exposed to the simultaneous presence of threat and reward features for extended periods. To study the neural mechanisms of threat and reward processing under distinct temporal profiles, we created a modified version of the PACMAN game that included these environmental features. We also conducted two automated meta-analyses to compare the findings from our semi-naturalistic paradigm to those from more constrained experiments. Overall, our results revealed a distributed system of regions sensitive to threat imminence and a less distributed system related to reward imminence, both of which exhibited overlap yet neither of which involved the amygdala. Additionally, these systems broadly overlapped with corresponding meta-analyses, with the notable absence of the amygdala in our findings. Together, these findings suggest a shared system for salience processing that reveals a heightened sensitivity toward environmental threats compared to rewards when both are simultaneously present in an environment. The broad correspondence of our findings to meta-analyses, consisting of more tightly controlled paradigms, illustrates how semi-naturalistic studies can corroborate previous findings in the literature while also potentially uncovering novel mechanisms resulting from the nuances and contexts that manifest in such dynamic environments.

The impact of restricting sleep duration on physical activity: Secondary analysis of a randomized crossover study.

This study investigated the causal impact of sleep durations on participants' physical activity (PA) in real-world conditions. We performed a secondary analysis of PA data from 146 young adults using a randomized crossover design: both restricted (5-6 hr/night) and well-rested (8-9 hr/night) sleep weeks were assessed, with a washout week in between. Sleep and activity were tracked via research-grade actigraphy. Data analysis of PA involved repeated-measures analysis of variance (ANOVA) and regression techniques. Analysis plans and hypothesis were preregistered before data analysis. The exogenously assigned sleep restriction (SR) treatment reduced nightly sleep an average of 92.65 min (± 40.44 min) compared to one's well-rested sleep treatment. The impact of SR on PA was substantial, leading to a 7% reduction in average hourly PA: 18,081.2 (well-rested) versus 16,818.2 (restricted sleep). Significant findings were revealed in daily, F(1, 6) = 84.37, p < .001, ηp² = 0.934, and hourly comparisons, F(1, 166) = 30.47, p < .001, ηp² = 0.155. Further, sensitivity analysis using a variety of regression specifications also found that exogenously assigned SR decreased average wake-hour activity counts by approximately 4.4%-4.7% (p < .01 in all cases) when controlling for other factors. Exploratory analysis showed the PA effects of SR manifested via reductions in PA intensity with concurrent increases in the proportion of time considered as sedentary. SR significantly lowered PA by around 7%, characterized by reduced intensity and elevated sedentary behavior in a naturalistic setting. (PsycInfo Database Record (c) 2024 APA, all rights reserved).