Evidence for a competitive relationship between executive functions and statistical learning.

The ability of the brain to extract patterns from the environment and predict future events, known as statistical learning, has been proposed to interact in a competitive manner with prefrontal lobe-related networks and their characteristic cognitive or executive functions. However, it remains unclear whether these cognitive functions also possess a competitive relationship with implicit statistical learning across individuals and at the level of latent executive function components. In order to address this currently unknown aspect, we investigated, in two independent experiments (NStudy1 = 186, NStudy2 = 157), the relationship between implicit statistical learning, measured by the Alternating Serial Reaction Time task, and executive functions, measured by multiple neuropsychological tests. In both studies, a modest, but consistent negative correlation between implicit statistical learning and most executive function measures was observed. Factor analysis further revealed that a factor representing verbal fluency and complex working memory seemed to drive these negative correlations. Thus, the antagonistic relationship between implicit statistical learning and executive functions might specifically be mediated by the updating component of executive functions or/and long-term memory access.

Impact of confrontation to patient suffering and death on wellbeing and burnout in professionals: a cross-sectional study.

BACKGROUND: Palliative care and oncology generate a risk of burnout and psychological distress in professionals. The purpose of this study is to identify both psychopathological and positive factors related to mental health at work. It aims (i) to explore the extent to which these professionals are confronted with suffering, illness, and death; and to explore the prevalence of psychological distress and/or burnout, (ii) to identify potential determinants of burnout and psychological wellbeing at work, (iii) to develop an integrative model of mental health; and to identify frequency and impact of confrontations with death, and (iv) to identify profiles of professionals are at risk of developing a mental health disorder or, conversely, characterized by wellbeing. METHODS: A cross-sectional questionnaire study was conducted in palliative care and oncology evaluating confrontations with death, coping, burnout, psychological distress, personality, self-esteem, well-being and meaning at work. Regressions, clustering, and structural equation modeling analyses were performed. RESULTS: 109 professionals participated (58% from oncology and 42% from palliative care), of which 79% were female, and 65% were between 30 and 49 years old. Aim i: 30% witnessed an intolerable suffering at least 9 times a month, 45% reported moderate to high levels of burnout, 39% suffered from anxiety and 11% from depression. Aim ii: the determinants of burnout were the personality traits conscientiousness and neuroticism, low meaning of work, and low wellbeing (R2 = 0.44). The determinants of wellbeing were work meaning, depersonalization, self-esteem, fulfillment and low emotional exhaustion (R2 = 0.71). Aim iii: the integrative model included both well-being (self-esteem, conscientiousness) and psychopathology (neuroticism, anxiety) parameters, and strongly satisfied the standard SEM goodness of fit indices (e.g., CFI, IFI, and TLI ≥ 0.95). Aim iv: three profiles were identified: (a) a "distressed profile" with a majority of professionals at the patient's bedside, (b) a "disengaged profile" with professionals working as second-line consultants, (c) a "wellbeing profile" contains profiles of caregivers insensitive to psychological distress and with a high level of positive Impact of confrontation on different areas of their lives. CONCLUSIONS: An integrative approach is essential to understand the full range of mental health issues for professionals. Meaning of work is a key factor in professional interventions that should primarily affect front-line professionals with limited experience.

Validation of the French COVID-Related Thoughts and Behavioral Symptoms Questionnaire (Cov-Tabs): A self-report assessment.

OBJECTIVES: The COVID-Related Thoughts and Behavioral Symptoms (Cov-Tabs) is a self-reported questionnaire developed to identify the presence of psychological distress and anxiety-related behavior associated with COVID-19. This scale has been used since the first episodes of mass contamination of COVID-19 disease in the USA without psychometric validation analysis. The objective of this paper is to validate the French version of the Cov-TaBS. METHOD: In this study, we assessed a French translation of Cov-Tabs in 300 subjects from the general population. Moreover, we assessed convergent and discriminant validities using an anxiety and depression scale and a paranoid ideation scale. Statistical analyses consisted of evaluating internal consistency, test-retest reliability, and construct validity as well. RESULTS: The French translation of the Cov-Tabs demonstrated high internal consistency and reliability, as well as good temporal stability over a period of less than 2 weeks. It also showed strong convergent validity with anxiety and depression traits and divergent validity with paranoid ideation. CONCLUSION: Our study indicates that the French version of the Cov-Tabs has robust psychometric properties and is a valid tool for evaluating behavioral symptomatology and thoughts related to COVID-19 disease. Therefore, the French version of the Cov-Tabs is a valid tool that can be used in French-speaking individuals.

Are thoughts and behaviours of individuals with schizophrenia more susceptible to being influenced during pandemic situations? A glimpse provided by the COVID-19 pandemic.

Individuals with psychotic disorders such as schizophrenia may be more vulnerable during pandemics, but research on this topic is limited. This study examined COVID-19 impact on a population affected by schizophrenia during the COVID-19 pandemic. Levels of psychological distress and COVID-19-related behaviours, from the COVID-related Thoughts and Behavioral Symptoms (Cov-Tabs) Scale, were compared between 107 patients with schizophrenia and 70 control participants. Participants with schizophrenia had significantly higher Cov-Tabs scores than non-clinical participants. These results suggest a higher vulnerability in this population, emphasising the need for targeted support and further assessment.

The Oxford Utilitarianism Scale: Psychometric properties of a French adaptation (OUS-Fr).

It is well established that one's sense of morality may be readily influenced by one's culture, education, and life situation. Very few psychometric tools are currently available to measure facets of human morality in different cultures. Therefore, the purpose of the present study was to develop a French adaptation of the Oxford Utilitarianism Scale (OUS-Fr) and formally evaluate its validity. The OUS-Fr was developed through a process of back-translation and administered to a sample of 552 participants. Results from exploratory factor analyses revealed a bidimensional structure with satisfactory loadings that was then also supported in the confirmatory factor analysis check. The OUS-Fr scale demonstrated good psychometric properties, with acceptable internal consistency and coherent results in the convergent validity analyses. These findings contribute to morality measurement literature by providing evidence for the reliability and validity of the French adaptation of the OUS. The OUS-Fr can be viewed as a valuable tool for researchers and practitioners for assessing utilitarian tendencies within the French-speaking population, which could pave the way for cross-cultural understandings that are important for fully understanding the intricacies of human morality.

Validation and Psychometric Properties of the German Operational and Organizational Police Stress Questionnaires.

CONTEXT: Working in the police force is an operationally and organizationally stressful job. Suitable psychometric tools are needed to detect and study the psychosocial risks of these professionals. The original version contains 40 items, which may be too long for clinical use or as a research control measure. The main aim of this study is to validate the Police Stress Questionnaire (PSQ) in German. The secondary objective is to validate a shorter version. METHOD: After translation and counter translation of the PSQ-G by a committee of experts, 10 participants pre-tested the comprehension of an intermediate version, allowing the development of a final version that was submitted to a psychometric validation plan with 2314 German-speaking officers. Structure, reliability, and convergent, divergent, and discriminant validities were tested for each sample. RESULTS: The German version of the PSQ performed well psychometrically. We have created a short version of 14 items with good psychometric properties, 7 items for each subscale: operational stressors and organizational stressors. CONCLUSION: This study validated a German version of the PSQ and provides a reliable measure of stress processes in the police force. A short version is now available.

What's morphology got to do with it: Oral reading fluency in adolescents with dyslexia.

Individuals with dyslexia often present phonological difficulties, ultimately impacting their reading and writing. Nevertheless, an individual with dyslexia may circumvent these difficulties through a reliance on linguistic units with more consistent spellings, such as morphemes. The increased use of morphological information by individuals with dyslexia has been argued to be a form of compensation. However, the contribution of morphological skills to reading fluency is still unclear. In this study, French adolescents with and without dyslexia were assessed on their morphological awareness and processing skills, along with reading fluency. Morphological awareness was assessed with a suffixation decision task, while a primed lexical decision task was used to assess morphological processing. Primes shared four possible relationships with the targets: morphological, semantic, orthographic, or unrelated. Group differences were not found for morphological awareness. In contrast, the group of adolescents with dyslexia showed a greater benefit of morphological priming. A continuous approach where reading fluency is seen as a broad spectrum was then used for future analyses. Benefits from morphological and orthographic priming were found to be inversely related to reading fluency. Morphological processing was found to be relatively high for individuals with low reading fluency proficiency, which suggests its use as a compensatory strategy in this population. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Profiling Police Forces against Stress: Risk and Protective Factors for Post-Traumatic Stress Disorder and Burnout in Police Officers.

Police officers are frequently exposed to highly stressful situations at work and have an increased risk to develop symptoms of post-traumatic stress disorder (PTSD) and burnout (BO). It is currently not well understood which officers are most at risk to develop these disorders. The aim of this study was to determine which coping strategies and personality traits could act as protective or risk factors in relation to PTSD and BO. The second aim, in the interest of designating preventive and therapeutical measures, was to determine whether certain profiles of police officers could be identified as high risk for developing mental disorders. Herein, 1073 French-speaking police officers in Switzerland reported in an online survey about their PTSD and BO symptoms, anxiety, depression, suicide ideation, coping strategies, occupational stress, and personality factors. The cluster analysis highlighted three principal profiles of police officers: those who are not at risk of developing pathologies because they are not exposed or insensitive to these stressors, and those who are, among which personality and coping strategies oriented the risk of developing PTSD or BO. These same protective and risk factors were also corroborated in the linear and logistic regression analyses. These results may suggest that a crucial opportunity for mitigating mental health issues in the force could consist of screening recruits for risk-related personality traits and orienting them towards psychological training programs for the development of functional coping strategies.

The Interaction between Lockdown-Specific Conditions and Family-Specific Variables Explains the Presence of Child Insomnia during COVID-19: A Key Response to the Current Debate.

It is still debated whether lockdown conditions in response to the coronavirus disease 2019 (COVID-19) health crisis seriously affected children's sleep. For young children, some studies identified more insomnia, while others only transient disturbances, or even no effect. Based on the premise of mother-child synchrony, a well-known dynamic established in child development research, we hypothesized that principally, the children whose mothers perceived the lockdown as stressful and/or responded maladaptively, suffered sleep disturbances. The main objective of this study was to identify the family profiles, variables, and lockdown responses most linked to insomnia in young children. The sample consisted of 165 mothers, French vs. Swiss origin (accounting for different lockdown severities), of children 6 months to 5 years old. Validated sleep, stress, and behavior scales were used. Multiple regression, age-matched clustering, and structural equation modeling analyses provided evidence that insomnia in young children is indeed strongly linked to the mother's reaction to the pandemic and lockdown. Specifically, reactions such as COVID-19 fear/anxiety and obsessive COVID-19 information seeking coincide with heightened vigilance, cascading into reduced child social contact, outings, and increased screen viewing, ultimately culminating in child insomnia and behavioral problems. Mother education level and child day care quality (e.g., home-schooling) were also identified as strong insomnia predictors.

Cognitive Behavioral Therapy and Acceptance and Commitment Therapy for the Discontinuation of Long-Term Benzodiazepine Use in Insomnia and Anxiety Disorders.

Benzodiazepines have proven to be highly effective for treating insomnia and anxiety. Although considered safe when taken for a short period of time, a major risk-benefit dilemma arises in the context of long-term use, relating to addiction, withdrawal symptoms, and potential side effects. For these reasons, benzodiazepines are not recommended for treating chronic sleep disorders, anxiety disorders, nor for people over the age of 65, and withdrawal among long-term users is a public health issue. Indeed, only 5% of patients manage to discontinue using these drugs on their own. Even with the help of a general practitioner, this rate does not exceed 25 to 30% of patients, of which approximately 7% manage to remain drug-free in the long term. Cognitive Behavioral Therapies (CBT) offer a crucial solution to this problem, having been shown to increase abstinence success to 70-80%. This article examines traditional and novel CBT techniques in this regard, such as Acceptance and Commitment Therapy, which address both the underlying condition (insomnia/anxiety) and the substance-related disorder. The theoretical framework and evidence supporting the use of these approaches are reviewed. Finally, current research gaps are discussed, and key research perspectives are proposed.

Screen exposure exacerbates ADHD symptoms indirectly through increased sleep disturbance.

OBJECTIVES: The aim of this study was twofold. First, to confirm the deleterious aspect of evening screen exposure in school-aged children, in particular the effect of screens in the bedroom. Second, to explore the three-way association between degree of screen exposure, sleep disturbance, and ADHD symptoms. Solid evidence exists on the link between sleep disturbance and ADHD symptoms, and screen exposure and sleep disturbance. However, no studies have formally assessed the impact of screen exposure on ADHD symptoms in children, as a function of sleep disturbance. METHODS: Parents of 374 French children (201 girls, 173 boys, mean age of 10.8 ± 2.8 years old) completed the Sleep Disturbance Scale for Children (SDSC), the Attention-Deficit/Hyperactivity Disorder (ADHD) Rating Scale, and a questionnaire about their children's screen habits (total hours in the morning, afternoon, and evening per day). Correlational analyses between evening screen exposure, sleep quality and behavioral problems were conducted. Then, formal mediation analyses were run in order to quantify the relationship between variables. RESULTS: School-aged children with screens in their bedrooms demonstrated more sleep and behavioral problems. Evening TV exposure was associated with higher SDSC and ADHD scores. Furthermore, the Structural Equation Modelling approach confirmed that evening screen exposure is directly associated with more disrupted sleep, which in turn is directly associated with behavioral problems. CONCLUSIONS: These findings encourage families to avoid putting screens in their children's bedrooms, and limit evening screen exposure. They furthermore demonstrate the importance of taking into account screen exposure time (morning, afternoon, evening) and location (bedroom or elsewhere) in future studies.

Improving reading skills in children with dyslexia: efficacy studies on a newly proposed remedial intervention-repeated reading with vocal music masking (RVM).

In this work, two different studies are examined to evaluate the effectiveness of a novel intervention program for the improvement of reading ability in children with dyslexia, known as repeated reading with vocal music masking (RVM). The proposed remedial approach is inspired by Breznitz's original work. The studies assess a 5-week program of intensive RVM training in a pre-post-test clinical paradigm, as well as a longitudinal paradigm where it is compared to 8 months of the standard remediation program (SRP). The results of both studies support the efficacy of the newly proposed RVM method. Notably in the longitudinal study, the reading speed of children, as well as related phonological, visuo-attentional, and cognitive skills, and attitudes toward reading, were measured regularly. Significant improvements in reading efficiency and related skills were observed, as well as greater motivation to read after RVM training. A modeling of the data specifically linked executive and processing speed skills to be involved in RVM training, suggesting that RVM may help rebalance the phonological and orthographic coding procedures necessary for efficient reading. The short, intensive, and focused nature of RVM training makes it a viable and attractive intervention for clinical practice. As preliminary results are promising, RVM training may prove to be a valuable tool that clinicians can call upon to effectively treat reading fluency disorders, especially when standard programs do not provide results.

Assessing model-based inferences in decision making with single-trial response time decomposition.

The latent psychological mechanisms involved in decision-making are often studied with quantitative models based on evidence accumulation processes. The most prolific example is arguably the drift-diffusion model (DDM). This framework has frequently shown good to very good quantitative fits, which has prompted its wide endorsement. However, fit quality alone does not establish the validity of a model's interpretation. Here, we formally assess the model's validity with a novel cross-validation approach based on the recording of muscular activities, which directly relate to the standard interpretation of various model parameters. Specifically, we recorded electromyographic activity along with response times (RTs), and used it to decompose every RT into 2 components: a premotor time (PMT) and motor time (MT). The latter interval, MT, can be directly linked to motor processes and hence to the nondecision parameter of DDM. In two canonical perceptual decision tasks, we manipulated stimulus strength, speed-accuracy trade-off, and response force and quantified their effects on PMT, MT, and RT. All 3 factors consistently affected MT. The DDM parameter for nondecision processes recovered the MT effects in most situations, with the exception of the fastest responses. The extent of the good fits and the scope of the mis-estimations that we observed allow drawing new limits of the interpretability of model parameters. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

FANCat: French affective norms for ten emotional categories.

The present study develops key research for French word norms that combines the predominant theories of dimensional and discrete (or categorical) emotions. As a result, we provide the database FANCat, affective norms for a set of 1031 French words on ten discrete emotion categories: fear, anger, disgust, sadness, anxiety, awe, excitement, contentment, amusement, and serenity. FANCat complements a previous word set, FAN, which provides only the dimensional norms, valence, and arousal (Monnier & Syssau, 2014). Herein, we introduce five discrete positive emotions in efforts to differentiate positive emotions at higher resolution and specificity. Although ten emotional categories were considered in FANCat norms, results showed a high degree of inter-rater reliability and a good external validity. Then, distributional analyses of words into the ten emotion categories revealed that positive words evoked mainly the emotions awe, contentment, and amusement, and principally evoked either one positive emotion only ("pure" words) or two (mixed words). This study contributes to a deeper understanding of the relationship between language, and negative and positive emotions. It is also currently the only norms database in French that analyses ten discrete emotions as well as including valence and arousal. FANCat is available at https://www.researchgate.net/publication/338622765_FANCat_database .

Multi-factor analysis in language production: Sequential sampling models mimic and extend regression results.

For multi-factor analyses of response times, descriptive models (e.g., linear regression) arguably constitute the dominant approach in psycholinguistics. In contrast empirical cognitive models (e.g., sequential sampling models, SSMs) may fit fewer factors simultaneously, but decompose the data into several dependent variables (a multivariate result), offering more information to analyze. While SSMs are notably popular in the behavioural sciences, they are not significantly developed in language production research. To contribute to the development of this modelling in language, we (i) examine SSMs as a measurement modelling approach for spoken word activation dynamics, and (ii) formally compare SSMs to the default method, regression. SSMs model response activation or selection mechanisms in time, and calculate how they are affected by conditions, persons, and items. While regression procedures also model condition effects, it is only in respect to the mean RT, and little work has been previously done to compare these approaches. Through analyses of two language production experiments, we show that SSMs reproduce regression predictors, and further extend these effects through a multivariate decomposition (cognitive parameters). We also examine a combined regression-SSM approach that is hierarchical Bayesian, which can jointly model more conditions than classic SSMs, and importantly, achieve by-item modelling with other conditions. In this analysis, we found that spoken words principally differed from one another by their activation rates and production times, but not their thresholds to be activated.

Cortical Dynamics of Semantic Priming and Interference during Word Production: An Intracerebral Study.

Language production requires that semantic representations are mapped to lexical representations on the basis of the ongoing context to select the appropriate words. This mapping is thought to generate two opposing phenomena, "semantic priming," where multiple word candidates are activated, and "interference," where these word activities are differentiated to make a goal-relevant selection. In previous neuroimaging and neurophysiological research, priming and interference have been associated to activity in regions of a left frontotemporal network. Most of such studies relied on recordings that either have high temporal or high spatial resolution, but not both. Here, we employed intracerebral EEG techniques to explore with both high resolutions, the neural activity associated with these phenomena. The data came from nine epileptic patients who were stereotactically implanted for presurgical diagnostics. They performed a cyclic picture-naming task contrasting semantically homogeneous and heterogeneous contexts. Of the 84 brain regions sampled, 39 showed task-evoked activity that was significant and consistent across two patients or more. In nine of these regions, activity was significantly modulated by the semantic manipulation. It was reduced for semantically homogeneous contexts (i.e., priming) in eight of these regions, located in the temporal ventral pathway as well as frontal areas. Conversely, it was increased only in the pre-SMA, notably at an early poststimulus temporal window (200-300 msec) and a preresponse temporal window (700-800 msec). These temporal effects respectively suggest the pre-SMA's role in initial conflict detection (e.g., increased response caution) and in preresponse control. Such roles of the pre-SMA are traditional from a history of neural evidence in simple perceptual tasks, yet are also consistent with recent cognitive lexicosemantic theories that highlight top-down processes in language production. Finally, although no significant semantic modulation was found in the ACC, future intracerebral EEG work should continue to inspect ACC with the pre-SMA.

Lesions to the left lateral prefrontal cortex impair decision threshold adjustment for lexical selection.

Patients with lesions in the left prefrontal cortex (PFC) have been shown to be impaired in lexical selection, especially when interference between semantically related alternatives is increased. To more deeply investigate which computational mechanisms may be impaired following left PFC damage due to stroke, a psychometric modelling approach is employed in which we assess the cognitive parameters of the patients from an evidence accumulation (sequential information sampling) modelling of their response data. We also compare the results to healthy speakers. Analysis of the cognitive parameters indicates an impairment of the PFC patients to appropriately adjust their decision threshold, in order to handle the increased item difficulty that is introduced by semantic interference. Also, the modelling contributes to other topics in psycholinguistic theory, in which specific effects are observed on the cognitive parameters according to item familiarization, and the opposing effects of priming (lower threshold) and semantic interference (lower drift) which are found to depend on repetition. These results are developed for the blocked-cyclic picture naming paradigm, in which pictures are presented within semantically homogeneous (HOM) or heterogeneous (HET) blocks, and are repeated several times per block. Overall, the results are in agreement with a role of the left PFC in adjusting the decision threshold for lexical selection in language production.

The relational luring effect: Retrieval of relational information during associative recognition.

Here we argue that semantic relations (e.g., works in: nurse-hospital) have abstract independent representations in long-term memory (LTM) and that the same representation is accessed by all exemplars of a specific relation. We present evidence from 2 associative recognition experiments that uncovered a novel relational luring effect (RLE) in recognition memory. Participants studied word pairs, and then discriminated between intact (old) pairs and recombined lures. In the first experiment participants responded more slowly to lures that were relationally similar (table-cloth) to studied pairs (floor-carpet), in contrast to relationally dissimilar lures (pipe-water). Experiment 2 extended the RLE by showing a continuous effect of relational lure strength on recognition times (RTs), false alarms, and hits. It used a continuous pair recognition task, where each recombined lure or target could be preceded by 0, 1, 2, 3 or 4 different exemplars of the same relation. RTs and false alarms increased linearly with the number of different previously seen relationally similar pairs. Moreover, more typical exemplars of a given relation lead to a stronger RLE. Finally, hits for intact pairs also rose with the number of previously studied different relational instances. These results suggest that semantic relations exist as independent representations in LTM and that during associative recognition these representations can be a spurious source of familiarity. We discuss the implications of the RLE for current models of semantic and episodic memory, unitization in associative recognition, analogical reasoning and retrieval, as well as constructive memory research. (PsycINFO Database Record