Publications by authors named "Luisa Weiner"

Introduction: Bipolar disorder (BD) has a significant impact on functioning in the absence of acute mood episodes. This has been associated with subsyndromal symptoms, co-morbidities, and emotional dysregulation. The present study aims to evaluate the acceptability and preliminary efficacy of imagery-based cognitive therapy (ImCT) in a French community setting.

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Background: Cocaine craving is a central symptom of cocaine use disorders (CUD). Virtual reality cue-exposure therapy for craving (VRCET) allows more immersive, realistic, and controllable exposure than traditional non-VR cue-exposure therapy (CET), whose efficacy is limited in treating substance use disorders. The purpose of this study is to evaluate the efficacy and acceptability of VRCET, as a stand-alone and add-on intervention (i.

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Background: Craving is a core symptom of cocaine use disorders (CUD). Inducing craving in exposure to substance cues is of relevant interest for numerous clinical applications. Virtual reality exposure (VRE) might be a promising candidate for improving cue-exposure paradigms but remains almost not studied for cocaine.

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Background: Healthcare workers' mental health has been impacted by the COVID-19 pandemic, emphasizing the need for mental health interventions in this population. Online cognitive behavioral therapy (CBT) is efficient to reduce stress and may reach numerous professionals. We developed "MyHealthToo", an online CBT program to help reduce stress among healthcare workers during the COVID-19 pandemic.

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Introduction: Exposure to public stigma can lead to the internalization of autism-related stigma (i.e., self-stigma), associated with negative health, occupational and social outcomes.

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Introduction: Dialectical Behavior Therapy (DBT) has assembled a large body of evidence for the treatment of emotional dysregulation in borderline personality disorder (BPD), but also in other disorders characterized by emotional dysregulation (e.g., bipolar disorder (BD) and ADHD).

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Background: Emotion dysregulation (ED) is a core symptom of borderline personality disorder (BPD), whose aetiology has been attributed to biosocial factors. In autism spectrum condition (ASC), although ED is prevalent and is associated with decreased well-being (e.g.

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Background: Emotion dysregulation (ED) is a core intrinsic feature of adult presenting Attention Deficit Hyperactivity Disorder (ADHD). However, the clinical expressions of ED are diverse and several questionnaires have been used to measure ED in adults with ADHD. Thus, to date, the characteristics of ED in adult ADHD remain poorly defined.

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Introduction: Mental restlessness reported by adult with Attention Deficit Hyperactivity Disorder (ADHD) has been mainly explained by excessive mind wandering. However, the description of a mind constantly on the go is also akin to racing thoughts, predominantly described in bipolar disorder. This paper aimed at disentangling mind wandering from racing thoughts in adult with ADHD.

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Purpose: Autistic camouflaging is a collection of strategies used to hide autistic characteristics. It can have serious consequences on autistic people's mental health and needs to be addressed and measured in clinical practice. The purpose of this study is to evaluate the psychometric properties of the French adaptation of the Camouflaging Autistic Traits Questionnaire.

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Background: Emotion dysregulation is increasingly recognized as highly prevalent and impairing in autistic individuals. Yet, a large majority of studies have considered emotion dysregulation in youth only, and most of them did not consider sex differences in emotion dysregulation manifestation.

Objectives: In the present study, we aim to investigate sex differences relative to emotion dysregulation in autistic adults without intellectual disability as well as its relationship with different factors potentially involved in emotion dysregulation (e.

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In the present study, we propose a review and a synthesis of the work of our group about the phenomenology and the cognitive mechanisms of racing thoughts in bipolar disorder (BD) and ADHD. Contrary to the mainstream idea according to which racing thoughts are pathognomonic of BD, our work suggests that racing thoughts are enhanced in ADHD compared to hypomanic episodes of BD, whereas in euthymic episodes of BD self-reported racing thoughts are similar to the rates reported by healthy controls. Using verbal fluency tasks, we found many similarities between bipolar and ADHD subjects with one clear difference: lexical search strategy in hypomania is based on phonemic similarities rather than semantic-relatedness.

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Childhood maltreatment contributes to the development of psychiatric disorders. Shame appears to be an important mediating factor. Compassion-focused therapy (CFT) targets shame and seems relevant for adults with hard-to-treat psychiatric disorders associated with childhood maltreatment.

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Background: Racing thoughts have been found in several states of bipolar disorder (BD), but also in healthy populations with subclinical mood alterations. The evaluation of racing thoughts relies on subjective reports, and objective measures are sparse. The current study aims at finding an objective neuropsychological equivalent of racing thoughts in a mixed group of BD patients and healthy controls by using a bistable perception paradigm.

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Introduction: Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) are two neurodevelopmental conditions with neuropsychological, social, emotional, and psychopathological similarities. Both are characterized by executive dysfunction, emotion dysregulation (ED), and psychiatric comorbidities. By focusing on emotions and embodied cognition, this study aims to improve the understanding of overlapping symptoms between ADHD and ASD through the use of verbal fluency tasks.

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The co-occurrence of attention deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) has been reported to be highly prevalent in adults. However, very few studies have assessed the usefulness of screening instruments to detect this co-occurrence, particularly when screening for ASD in the context of ADHD. Our study aimed at assessing the utility of the autism-spectrum quotient (AQ) as a screening tool of ASD in a sample of 153 adults referred for ADHD assessment.

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Little is known regarding the mechanisms involved in the clinical improvement of patients with bipolar disorder (BD) after group psychoeducation. We aimed at investigating these mechanisms by focusing on their subjective experience. Thirteen patients with BD aged 35.

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Background: Adults with Attention Deficit Hyperactivity Disorder (ADHD) often report mental restlessness akin to racing thoughts found in hypomanic and mixed episodes of bipolar disorder (BD). Past research has suggested that racing thoughts in BD can be tackled via process-oriented verbal fluency measures. In ADHD, it is still unknown whether racing thoughts is due to comorbid BD, and its neuropsychological underpinnings remain to be investigated.

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The COVID-19 crisis has had a considerable mental health impact on healthcare workers. High levels of psychological distress are expected to have a significant impact on healthcare systems, warranting the need for evidence-based psychological interventions targeting stress and fostering resilience in this population. Online cognitive behavioral therapy (CBT) has proved to be effective in targeting stress and promoting resilience.

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Background: Cognitive arousal is thought to play a key role in insomnia disorder. However, although patients frequently complain about racing thoughts appearing at bedtime, studies have considered 'cognitive arousal' as a synonym of rumination and worry, but not as racing thoughts per se. The latter have been mainly linked to hypomanic/manic episodes of bipolar disorder (BD).

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There is a lack of consensus on the diagnostic thresholds that could improve the detection accuracy of bipolar mixed episodes in clinical settings. Some studies have shown that voice features could be reliable biomarkers of manic and depressive episodes compared to euthymic states, but none thus far have investigated whether they could aid the distinction between mixed and non-mixed acute bipolar episodes. Here we investigated whether vocal features acquired via verbal fluency tasks could accurately classify mixed states in bipolar disorder using machine learning methods.

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