Classification images for aerial images capture visual expertise for binocular disparity and a prior for lighting from above.

Using a novel approach to classification images (CIs), we investigated the visual expertise of surveyors for luminance and binocular disparity cues simultaneously after screening for stereoacuity. Stereoscopic aerial images of hedges and ditches were classified in 10,000 trials by six trained remote sensing surveyors and six novices. Images were heavily masked with luminance and disparity noise simultaneously. Hedge and ditch images had reversed disparity on around half the trials meaning hedges became ditch-like and vice versa. The hedge and ditch images were also flipped vertically on around half the trials, changing the direction of the light source and completing a 2 × 2 × 2 stimulus design. CIs were generated by accumulating the noise textures associated with "hedge" and "ditch" classifications, respectively, and subtracting one from the other. Typical CIs had a central peak with one or two negative side-lobes. We found clear differences in the amplitudes and shapes of perceptual templates across groups and noise-type, with experts prioritizing binocular disparity and using this more effectively. Contrariwise, novices used luminance cues more than experts meaning that task motivation alone could not explain group differences. Asymmetries in the luminance CIs revealed individual differences for lighting interpretation, with experts less prone to assume lighting from above, consistent with their training on aerial images of UK scenes lit by a southerly sun. Our results show that (i) dual noise in images can be used to produce simultaneous CI pairs, (ii) expertise for disparity cues does not depend on stereoacuity, (iii) CIs reveal the visual strategies developed by experts, (iv) top-down perceptual biases can be overcome with long-term learning effects, and (v) CIs have practical potential for directing visual training.

A single dose for me, A wealth of protection for us: The public health cost of individualism in the rollout of COVID-19 vaccine.

OBJECTIVE: This study examines whether individualism weakens the effectiveness of the COVID-19 vaccine eligibility expansions in the United States in 2021, and assesses the associated social benefits or costs associated with individualism. METHODS: We construct a county-level composite individualism index as a proxy of culture and the fraction of vaccine eligible population as a proxy of vaccination campaign (mean: 41.34%). We estimate whether the COVID-19 vaccine eligibility policy is less effective in promoting vaccine coverage, reducing in COVID-19 related hospitalization and death using a linear two-way fixed effect model in a sample of 2866 counties for the period between early December 2020 and July 1, 2021. We also test whether individualism shapes people's attitudes towards vaccine using a linear probability model in a sample of 625,308 individuals aged 18-65 (mean age: 43.3; 49% male; 59.1% non-Hispanic white, 19.1% Hispanic, 12% African American; 5.9% Asian) from the Household Pulse Survey. RESULTS: The effects of expanded vaccine eligibility are diminished in counties with greater individualism, as evidenced by lower effectiveness in increasing vaccination rates and reducing outpatient doctor visits primarily for COVID-related symptoms and COVID deaths. Moreover, our results show that this cultural influence on attitudes towards vaccine is more pronounced among the less educated, but unrelated to race. CONCLUSION: Assuming an average level of vaccine eligibility policies and an average intensity of individualism across the nation, we calculate that the average social cost associated with an individualistic culture amid the pandemic is approximately $50.044 billion, equivalent to 1.32% of the total U.S. health care spending in 2019. Our paper suggests that strategies to promote public policy compliance should be tailored to accommodate cultural and social contexts.

Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics as a clinical characterisation dimension in the assessment of major depressive disorder.

BACKGROUND: International guidelines present overall symptom severity as the key dimension for clinical characterisation of major depressive disorder (MDD). However, differences may reside within severity levels related to how symptoms interact in an individual patient, called symptom dynamics. AIMS: To investigate these individual differences by estimating the proportion of patients that display differences in their symptom dynamics while sharing the same overall symptom severity. METHOD: Participants with MDD (n = 73; mean age 34.6 years, s.d. = 13.1; 56.2% female) rated their baseline symptom severity using the Inventory for Depressive Symptomatology Self-Report (IDS-SR). Momentary indicators for depressive symptoms were then collected through ecological momentary assessments five times per day for 28 days; 8395 observations were conducted (average per person: 115; s.d. = 16.8). Each participant's symptom dynamics were estimated using person-specific dynamic network models. Individual differences in these symptom relationship patterns in groups of participants sharing the same symptom severity levels were estimated using individual network invariance tests. Subsequently, the overall proportion of participants that displayed differential symptom dynamics while sharing the same symptom severity was calculated. A supplementary simulation study was conducted to investigate the accuracy of our methodology against false-positive results. RESULTS: Differential symptom dynamics were identified across 63.0% (95% bootstrapped CI 41.0-82.1) of participants within the same severity group. The average false detection of individual differences was 2.2%. CONCLUSIONS: The majority of participants within the same depressive symptom severity group displayed differential symptom dynamics. Examining symptom dynamics provides information about person-specific psychopathological expression beyond severity levels by revealing how symptoms aggravate each other over time. These results suggest that symptom dynamics may be a promising new dimension for clinical characterisation, warranting replication in independent samples. To inform personalised treatment planning, a next step concerns linking different symptom relationship patterns to treatment response and clinical course, including patterns related to spontaneous recovery and forms of disorder progression.

Individual differences in legal and illicit cannabis purchasing behaviour in British Columbia, Canada: Findings from a 2021 cross-sectional survey.

BACKGROUND: Despite thousands of licensed cannabis retail stores operating across Canada, there remains a significant illicit cannabis market. Some cannabis users continue to buy cannabis from dealers, illicit stores, and/or illicit online retailers. METHODS: Data are from the 2021 British Columbia Cannabis Use Survey. Respondents (n = 8473) were 19 years or older, lived in British Columbia at the time of the survey, and reported using cannabis in the past 12 months. RESULTS: Buying cannabis from all types of illicit sources was more common among younger cannabis users, those who use cannabis more frequently and started using cannabis before the age of 17 (vs. 19 or older), and among those who co-use cannabis with other drugs. Specifically, buying cannabis from a dealer was more common among men, those with lower educational attainment, and those who seek the lowest prices when buying cannabis. In contrast, those using cannabis for medical (vs. non-medical) purposes were more likely to report getting cannabis from illicit retail stores, while buying cannabis from illicit websites was more common among people who use edible cannabis products. CONCLUSION: Consistent with other studies, younger and more frequent cannabis users were more likely to report buying cannabis from illicit sources. However, these findings suggest there is significant heterogeneity among those who buy cannabis from different types of illicit sources, which should be carefully considered when developing policies and strategies aimed at encouraging consumers to transition to legal sources.

100 days of Adolescence: Elucidating Externalizing Behaviors Through the Daily Assessment of Inhibitory Control.

Inhibitory control is a transdiagnostic risk factor for externalizing behaviors, particularly during adolescence. Despite advances in understanding links between inhibitory control and externalizing behaviors across youth on average, significant questions remain about how these links play out in the day-to-day lives of individual adolescents. The goals of the current study were to: (1) validate a novel 100-occasion measure of inhibitory control; (2) assess links between day-to-day fluctuations in inhibitory control and individual differences in externalizing behaviors; and (3) illustrate the potential of intensive longitudinal studies for person-specific analyses of adolescent externalizing behaviors. Participants were 106 youth (57.5% female, Mage = 13.34 years; SDage = 1.92) who completed a virtual baseline session followed by 100 daily surveys, including an adapted Stroop Color Word task designed to assess inhibitory control. Results suggested that the novel task was generally reliable and valid, and that inhibitory control fluctuated across days in ways that were meaningfully associated with individual differences in baseline impulsive behaviors. Results of illustrative personalized analyses suggested that inhibitory control had more influence in the daily networks of adolescents who used substances during the 100 days than in a matched set of adolescents who did not. This work marks a path forward in intensive longitudinal research by validating a novel inhibitory control measure, revealing that daily fluctuations in inhibitory control may be a unique construct broadly relevant to adolescent externalizing problems, and at the same time, highlighting that links between daily inhibitory control and impulsive behaviors are adolescent-specific.

Evaluating dynamics in affect structure with latent Markov factor analysis.

In intensive longitudinal research, researchers typically consider the structure of affect to be stable across individuals and contexts. Based on an assumed theoretical structure (e.g., one bipolar or two separate positive and negative affect constructs), researchers create affect scores from items (e.g., sum or factor scores) and use them to examine the dynamics therein. However, researchers usually ignore that the affect structure itself is dynamic and varies across individuals and contexts. Understanding these dynamics provides valuable insights into individuals' affective experiences. This study uses latent Markov factor analysis (LMFA) to study what affect structures underlie individuals' responses, how individuals transition between structures, and whether their individual transition patterns differ. Moreover, we explore whether the intensity of negative events and the personality trait neuroticism relate to momentary transitions and individual differences in transition patterns, respectively. Applying LMFA to experience sampling data (N = 153; age: mean = 22; SD = 7.1; range = 17-66), we identified two affect structures-one with three and one with four dimensions. The main difference was the presence of negative emotionality, and the affect dimensions became more inversely related when the affect structure included negative emotionality. Moreover, we identified three latent subgroups that differed in their transition patterns. Higher negative event intensity increased the probability of adopting an affect structure with negative emotionality. However, neuroticism was unrelated to subgroup-membership. Summarized, we propose a way to incorporate contextual and individual differences in affect structure, contributing to advancing the theoretical basis of affect dynamics research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Mental health misinformation on social media: Review and future directions.

Social media use for health information is extremely common in the United States. Unfortunately, this use may expose users to misinformation. The prevalence and harms of misinformation are well documented in many health domains (e.g., infectious diseases). However, research on mental health misinformation is limited. Our review suggests that mental health misinformation is common, although its prevalence varies across disorders and treatment types. Individual differences in susceptibility to misinformation have been documented for health misinformation generally but less so for mental health specifically. We discuss conceptual issues in defining mental health misinformation versus other classifications such as overgeneralizations from personal experience. Although there is clear evidence for false and actively misleading content, future research should also explore the role of negative healthcare experiences and health disparities on mental health misinformation on social media.

Effort Foraging Task reveals positive correlation between individual differences in the cost of cognitive and physical effort in humans.

Effort-based decisions, in which people weigh potential future rewards against effort costs required to achieve those rewards involve both cognitive and physical effort, though the mechanistic relationship between them is not yet understood. Here, we use an individual differences approach to isolate and measure the computational processes underlying effort-based decisions and test the association between cognitive and physical domains. Patch foraging is an ecologically valid reward rate maximization problem with well-developed theoretical tools. We developed the Effort Foraging Task, which embedded cognitive or physical effort into patch foraging, to quantify the cost of both cognitive and physical effort indirectly, by their effects on foraging choices. Participants chose between harvesting a depleting patch, or traveling to a new patch that was costly in time and effort. Participants' exit thresholds (reflecting the reward they expected to receive by harvesting when they chose to travel to a new patch) were sensitive to cognitive and physical effort demands, allowing us to quantify the perceived effort cost in monetary terms. The indirect sequential choice style revealed effort-seeking behavior in a minority of participants (preferring high over low effort) that has apparently been missed by many previous approaches. Individual differences in cognitive and physical effort costs were positively correlated, suggesting that these are perceived and processed in common. We used canonical correlation analysis to probe the relationship of task measures to self-reported affect and motivation, and found correlations of cognitive effort with anxiety, cognitive function, behavioral activation, and self-efficacy, but no similar correlations with physical effort.

Cohort profile: Genetic data in the German Socio-Economic Panel Innovation Sample (SOEP-G).

The German Socio-Economic Panel (SOEP) serves a global research community by providing representative annual longitudinal data of respondents living in private households in Germany. The dataset offers a valuable life course panorama, encompassing living conditions, socioeconomic status, familial connections, personality traits, values, preferences, health, and well-being. To amplify research opportunities further, we have extended the SOEP Innovation Sample (SOEP-IS) by collecting genetic data from 2,598 participants, yielding the first genotyped dataset for Germany based on a representative population sample (SOEP-G). The sample includes 107 full-sibling pairs, 501 parent-offspring pairs, and 152 triads, which overlap with the parent-offspring pairs. Leveraging the results from well-powered genome-wide association studies, we created a repository comprising 66 polygenic indices (PGIs) in the SOEP-G sample. We show that the PGIs for height, BMI, and educational attainment capture 22∼24%, 12∼13%, and 9% of the variance in the respective phenotypes. Using the PGIs for height and BMI, we demonstrate that the considerable increase in average height and the decrease in average BMI in more recent birth cohorts cannot be attributed to genetic shifts within the German population or to age effects alone. These findings suggest an important role of improved environmental conditions in driving these changes. Furthermore, we show that higher values in the PGIs for educational attainment and the highest math class are associated with better self-rated health, illustrating complex relationships between genetics, cognition, behavior, socio-economic status, and health. In summary, the SOEP-G data and the PGI repository we created provide a valuable resource for studying individual differences, inequalities, life-course development, health, and interactions between genetic predispositions and the environment.

An English-Language adaptation and validation of the Justice Sensitivity Short Scales-8 (JSS-8).

The construct of justice sensitivity has four perspectives that capture individual differences in the strength of reactions to injustice when becoming a victim of injustice (victim sensitivity), when witnessing injustice as an outsider (observer sensitivity), when passively benefitting from an injustice done to others (beneficiary sensitivity), or when committing an injustice (perpetrator sensitivity). Individual differences in these four justice sensitivity perspectives are highly relevant in moral research. With just eight items in total, the Justice Sensitivity Short Scales-8 (JSS-8) are a very efficient way to measure the four perspectives. JSS-8 was initially constructed in German (Ungerechtigkeitssensibilität-Skalen-8, USS-8) and later translated into English. In the present study, we empirically validated this English-language adaptation in a heterogeneous quota sample from the UK. The results show that the psychometric properties (i.e., reliability, validity, standardization) of JSS-8 are good, and that they are comparable with those of the German-language source version. Because of the invariance of loadings, intercepts, and residual variances, researchers can compare manifest scale statistics (i.e., means, variances) of JSS-8 across the UK and Germany. JSS-8 is thus particularly suitable for measuring justice sensitivity in various research areas with constraints on assessment time and questionnaire space.

Quantifying the behavioural consequences of shark ecotourism.

Shark populations globally are facing catastrophic declines. Ecotourism has been posited as a potential solution to many of the issues facing shark conservation, yet increasingly studies suggest that such activity may negatively influence aspects of shark ecology and so further pressure declining populations. Here we combine UAV videography with deep learning algorithms, multivariate statistics and hidden Markov models (HMM) to quantitatively investigate the behavioural consequences of ecotourism in the whale shark (Rhincodon typus). We find that ecotourism increases the probability of sharks being in a disturbed behavioural state, likely increasing energetic expenditure and potentially leading to downstream ecological effects. These results are only recovered when fitting models that account for individual variation in behavioural responses and past behavioural history. Our results demonstrate that behavioural responses to ecotourism are context dependent, as the initial behavioural state is important in determining responses to human activity. We argue that models incorporating individuality and context-dependence should, wherever possible, be incorporated into future studies investigating the ecological impacts of shark ecotourism, which are only likely to increase in importance given the expansion of the industry and the dire conservation status of many shark species.

The Moral Reasoning of Ideology: The Mediating Role of Moral Foundations, Moral Absolutism, and Consistency Norm.

Focusing on the ideological and worldview premises of moral reasoning, our study (N = 313) has as a starting point the well-known relationship between morality and distributive justice norms. We examined the serially mediating role of progressiveness on morality, moral absolutism, and consistency norm on the relationship between ideological/worldview perspectives and distributional criteria. Three groups of respondents were formed based on participants' ideological and worldview perceptions and then serial mediation analysis was conducted. The present findings suggest that morality is predicted by ideology and worldview and predicts attitudes toward the norms of equity and welfare chauvinism, through moral absolutism and interpretations of consistency norm, thus confirming our hypothesis. Moderate Passive Individualists emerged as the group who adopts the most progressive and inclusive attitude towards moral evaluations and practices, while Demobilized Collectivists and Neoliberals maintain a more conservative attitude towards issues that are subjected to moral framing. Our findings shed light on the crucial role of consistency norm, which has not received enough attention until now.

The Situated Assessment Method (SAM2): Establishing individual differences in habitual behavior.

From the perspectives of grounded, situated, and embodied cognition, we have developed a new approach for assessing individual differences. Because this approach is grounded in two dimensions of situatedness-situational experience and the Situated Action Cycle-we refer to it as the Situated Assessment Method (SAM2). Rather than abstracting over situations during assessment of a construct (as in traditional assessment instruments), SAM2 assesses a construct in situations where it occurs, simultaneously measuring factors from the Situated Action Cycle known to influence it. To demonstrate this framework, we developed the SAM2 Habitual Behavior Instrument (SAM2 HBI). Across three studies with a total of 442 participants, the SAM2 HBI produced a robust and replicable pattern of results at both the group and individual levels. Trait-level measures of habitual behavior exhibited large reliable individual differences in the regularity of performing positive versus negative habits. Situational assessments established large effects of situations and large situation by individual interactions. Several sources of evidence demonstrated construct and content validity for SAM2 measures of habitual behavior. At both the group and individual levels, these measures were associated with factors from the Situated Action Cycle known to influence habitual behavior in the literature (consistency, automaticity, immediate reward, long-term reward). Regressions explained approximately 65% of the variance at the group level and a median of approximately 75% at the individual level. SAM2 measures further exhibited well-established interactions with personality measures for self-control and neuroticism. Cognitive-affective processes from the Situated Action Cycle explained nearly all the variance in these interactions. Finally, a composite measure of habitualness established habitual behaviors at both the group and individual levels. Additionally, a composite measure of reward was positively related to the composite measure of habitualness, increasing with self-control and decreasing with neuroticism.

Initiative apathy trait underlies individual differences in the ability to anticipate and expend cognitive effort in cost-benefit decision-making tasks.

Initiative apathy is the most disabling form of apathy, prevalent both in neuropsychiatric pathologies and in the healthy population. This apathy has been specifically associated with functional abnormalities of the anterior cingulate cortex, a key structure underlying Effort-based Decision-Making (EDM). The main aim of the present study was to explore, for the first time, the cognitive and neural effort mechanisms of initiative apathy, by distinguishing the steps of effort anticipation and effort expenditure and the potential modulating effect of motivation. We conducted an EEG study in 23 subjects with specific subclinical initiative apathy and 24 healthy subjects with no apathy. The subjects had to complete two effort tasks. The analysis of behavioral choices, CNV, and mPFC theta power highlighted that initiative apathy is associated with effort avoidance and impairments of effort anticipation and effort expenditure that suggest EDM deficits. Better knowledge of these impairments should aid the development of new, more targeted therapeutic interventions necessary for reducing the debilitating consequences of initiative apathy.

Maternal executive function, authoritarian attitudes, and hostile attribution bias as interacting predictors of harsh parenting.

Executive function (EF) plays a key role in healthy development and human functioning across multiple domains, including socially, behaviorally, and in the self-regulation of cognition and emotion. Prior research has associated lower levels of maternal EF with harsher and more reactive parenting, and mothers' social cognitive attributes like authoritarian child-rearing attitudes and hostile attribution biases also contribute to harsh parenting practices. There have been few studies that explore the intersection of maternal EF and social cognitions. The present study addresses this gap by testing whether the relationship between individual differences in maternal EF and harsh parenting behaviors is statistically moderated separately by maternal authoritarian attitudes and hostile attribution bias. Participants were 156 mothers in a socioeconomically diverse sample. Multi-informant and multimethod assessments of harsh parenting and EF were utilized, and mothers self-reported on their child-rearing attitudes and attribution bias. Harsh parenting was negatively associated with maternal EF and hostile attribution bias. Authoritarian attitudes significantly interacted with EF (and the attribution bias interaction was marginally significant) in prediction of variance in harsh parenting behaviors. Commensurate with social information processing theory, EF and social cognitive attributes play critical and distinct roles in the causes of harsh caregiving practices. Findings elucidate that reforming parental social cognitions, in addition to targeting EF, may be effective prevention and intervention methods for yielding more positive parenting behaviors. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

[Quality of life assessment as a gateway to the patient's individuality]. / Évaluation de la qualité de vie comme ouverture sur l'individualité du patient.

In the context of increasing life expectancy and complex medical situations, quality of life assessment can be a gateway to the patient's individuality and support medical decision making. There are different qualitative and quantitative assessment tools, ranging from a simple question that starts the discussion to standardized questionnaires. It is necessary to distinguish quality of life assessment in its economic, research and quality of care improvement perspective, from its evaluation within the doctor-patient relationship. Questionnaires such as Patient-Reported Outcome Measures (PROMs) could be interesting in daily clinical practice to improve communication and consultation efficiency, but their routine implementation still remains a challenge.

Dans le contexte de l'augmentation de l'espérance de vie et de situations médicales complexes, l'évaluation de la qualité de vie permet de s'ouvrir à l'individualité du patient et soutient la décision médicale. Il existe différents outils qualitatifs et quantitatifs pour l'évaluer allant d'une simple question qui ouvre le dialogue à des questionnaires standardisés. Il convient de dissocier l'évaluation de la qualité de vie dans sa perspective économique, de recherche et d'amélioration de la qualité des soins, de son évaluation au sein de la relation médecin-malade. Les questionnaires de type Patient-Reported Outcome Measures (PROMs) pourraient s'avérer intéressants dans la pratique quotidienne pour améliorer la communication et l'efficience d'une consultation, mais leur mode d'implémentation en routine reste un défi.

A longitudinal assessment of variability in COVID-19 vaccine hesitancy and psychosocial correlates in a national United States sample.

Recent evidence suggests that COVID-19 vaccine hesitancy is not static. In order to develop effective vaccine uptake interventions, we need to understand the extent to which vaccine hesitancy fluctuates and identify factors associated with both between- and within-person differences in vaccine hesitancy. The goals of the current study were to assess the extent to which COVID-19 vaccine hesitancy varied at an individual level across time and to determine whether disgust sensitivity and germ aversion were associated with between- and within-person differences in COVID-19 vaccine hesitancy. A national sample of U.S. adults (N = 1025; 516 woman; Mage = 46.34 years, SDage = 16.56, range: 18 to 85 years; 72.6 % White) completed six weekly online surveys (March 20 - May 3, 2020). Between-person mean COVID-19 vaccine hesitancy rates were relatively stable across the six-week period (range: 38-42 %). However, there was considerable within-person variability in COVID-19 vaccine hesitancy. Approximately, 40 % of the sample changed their vaccine hesitancy at least once during the six weeks. There was a significant between-person effect for disgust sensitivity, such that greater disgust sensitivity was associated with a lower likelihood of COVID-19 vaccine hesitance. There was also a significant within-person effect for germ aversion. Participants who experienced greater germ aversion for a given week relative to their own six week average were less likely to be COVID-19 vaccine hesitant that week relative to their own six-week average. This study provides important information on rapidly changing individual variability in COVID-19 vaccine hesitancy on a weekly basis, which should be taken into consideration with any efforts to decrease vaccine hesitancy and increase vaccine uptake. Further, these findings identify-two psychological factors (disgust sensitivity and germ aversion) with malleable components that could be leveraged in developing vaccine uptake interventions.

Duration discrimination: A diffusion decision modeling approach.

The human ability to discriminate the duration of two subsequently presented stimuli is often studied with tasks that involve a comparison between a standard stimulus (with fixed duration) and comparison stimuli (with varying durations). The performance in such tasks is influenced by the presentation order of these successively presented stimuli. The so-called Type A effect refers to the impact of presentation order on the point of subjective equality. The Type B effect describes effects of presentation order on the just-noticeable-difference. Cognitive models that account for these context effects assume that participants' duration estimation is influenced by the history of previously encountered stimuli. For example, the internal reference model assumes that the magnitude of a "typical" stimulus is represented by an internal reference. This internal reference evolves throughout an experiment and is updated on every trial. Different recent models have in common that they describe how the internal reference is computed but are agnostic to the decision process itself. In this study, we develop a new model that incorporates the mechanisms of perceptual discrimination models into a diffusion model. The diffusion model focuses on the dynamics of the decision process itself and accounts for choice and response times based on a set of latent cognitive variables. We show that our model accurately predicts the accuracy and response time distribution in a classical duration discrimination task. Further, model parameters were sensitive to the Type A and B effect. The proposed model opens up new opportunities for studying human discrimination performance (e.g., individual differences).

Reduction of costly safety behaviors after extinction with a generalization stimulus is determined by individual differences in generalization rules.

Exposure-based treatment involves repeated presentation of feared stimuli or situations in the absence of perceived threat (i.e., extinction learning). However, the stimulus or situation of fear acquisition (CS+) is highly unlikely to be replicated and presented during treatment. Thereby, stimuli that resemble the CS+ (generalization stimuli; GSs) are typically presented. Preliminary evidence suggests that depending on how one generalizes fear (i.e., different generalization rules), presenting the same GS in extinction leads to differential effectiveness of extinction learning. The current study aimed to extend this finding to safety behaviors. After differential fear and avoidance conditioning, participants exhibited discrete generalization gradients that were consistent with their reported generalization rules (Similarity vs Linear). The Linear group showed stronger safety behaviors to a selected GS compared to the Similarity group, presumably due to higher threat expectancy. After extinction learning to this GS, the Linear group exhibited stronger reduction in safety behaviors generalization compared to the Similarity group. The results show that identifying distinct generalization rules allows one to predict expectancy violation to the extinction stimulus, in addition to corroborating the idea that strongly violating threat expectancy leads to better extinction learning and its generalization. With regard to clinical implications, identifying one's generalization rule (e.g., threat beliefs) help designing exposure sessions that evoke strong expectancy violation, enhancing the reduction in the generalization of maladaptive safety behaviors.

Individual Differences in Multisensory Attention Skills in Children with Autism Spectrum Disorder Predict Language and Symptom Severity: Evidence from the Multisensory Attention Assessment Protocol (MAAP).

Children with autism spectrum disorders (ASD) show atypical attention, particularly for social events. The new Multisensory Attention Assessment Protocol (MAAP) assesses fine-grained individual differences in attention disengagement, maintenance, and audiovisual matching for social and nonsocial events. We investigated the role of competing stimulation on attention, and relations with language and symptomatology in children with ASD and typical controls. Findings revealed: (1) the MAAP differentiated children with ASD from controls, (2) greater attention to social events predicted better language for both groups and lower symptom severity in children with ASD, (3) different pathways from attention to language were evident in children with ASD versus controls. The MAAP provides an ideal attention assessment for revealing diagnostic group differences and relations with outcomes.