Predicting dropout and non-response to psychotherapy for personality disorders: A study protocol focusing on therapist, patient, and the therapeutic relationship.

Background: The abandonment of psychotherapeutic treatments is influenced by various factors, including patient characteristics, therapist traits, and the therapeutic relationship. Despite the well-documented importance of these factors, limited empirical research has focused on the role of the therapeutic relationship and the characteristics of therapist-patient dyads in predicting treatment dropout. This study protocol outlines a longitudinal research project aimed at predicting dropout and non-response in psychotherapy for individuals with personality disorders.

Shaping psychotherapy trainees' potential: insights from training program directors.

The role of the therapist has received growing attention in psychotherapy research, suggesting that training effectiveness may also depend on the person of the trainees, with relevant implications in terms of candidate selection or tailoring training to the person. In the present study, we focused on how and how much psychotherapy training can be effective in fostering trainees' characteristics associated with successful therapists and contrast trainees' characteristics that could represent limitations as therapists. The aim was to explore training program directors' perspectives on individual trainees' limitations and strengths, and on the effectiveness of training in shaping successful therapists.

Decoding acceptance and reappraisal strategies from resting state macro networks.

Acceptance and reappraisal are considered adaptive emotion regulation strategies. While previous studies have explored the neural underpinnings of these strategies using task-based fMRI and sMRI, a gap exists in the literature concerning resting-state functional brain networks' contributions to these abilities, especially regarding acceptance. Another intriguing question is whether these strategies rely on similar or different neural mechanisms.

Group psychological counseling to contrast academic burnout: a research protocol for a randomized controlled trial.

Academic burnout is a condition characterized by exhaustion, cynicism, a distant attitude toward studying, and diminished self-efficacy in academic activities. Preliminary scientific findings indicate that interventions designed to alleviate work burnout also hold promise for mitigating academic burnout, however clear evidence based on randomized controlled trials is still missing. This research protocol describes a randomized controlled trial aimed at evaluating the efficacy of an online group psychological intervention to contrast academic burnout.

Assessing and recovering Alzheimer's disease: a comparative analysis of standard neuropsychological approaches and virtual reality interventions with the use of digital storytelling.

Background: Alzheimer's disease (AD), the most common form of dementia, is a progressive neurodegenerative disorder that predominantly affects the elderly population. Traditional assessment methods, including neuropsychological tests like the MMSE, have been the cornerstone of AD diagnosis for decades. These methods are grounded in a wealth of research and clinical experience, providing a robust framework for understanding the cognitive deficits of AD.

Neurologists' and obstetricians' perspectives and current practices in breastfeeding counseling in women with epilepsy.

Objectives: In this study, we aimed to characterize practice patterns of neurologists and obstetricians in breastfeeding (BF) counseling in women with epilepsy (WWE) and explore factors that may influence physician counseling behaviors.

Methods: We conducted a cross-sectional study of neurologists and obstetricians via an anonymous survey from September 2021 until November 2021. A survey was developed to explore the following areas in WWE: current physicians' BF counseling patterns, physician-specific factors affecting BF counseling, and patient-specific factors and their impact on BF counseling.

Reduced GM-WM concentration inside the Default Mode Network in individuals with high emotional intelligence and low anxiety: a data fusion mCCA+jICA approach.

The concept of emotional intelligence (EI) refers to the ability to recognize and regulate emotions to appropriately guide cognition and behaviour. Unfortunately, studies on the neural bases of EI are scant, and no study so far has exhaustively investigated grey matter (GM) and white matter (WM) contributions to it. To fill this gap, we analysed trait measure of EI and structural MRI data from 128 healthy participants to shed new light on where and how EI is encoded in the brain.

Attachment orientations and emotion regulation: new insights from the study of interpersonal emotion regulation strategies.

A crucial point for the understanding of the link between attachment and emotion regulation concerns the individual tendency in turning to others to alleviate distress. Most previous studies in this field have considered almost exclusively intra-personal forms of emotion regulation, neglecting the role of social interaction in emotion regulation processes. In the present study, instead, we focused on interpersonal emotion regulation.

Monitoring Gait and Physical Activity of Elderly Frail Individuals in Free-Living Environment: A Feasibility Study.

Introduction: Frailty is conventionally diagnosed using clinical tests and self-reported assessments. However, digital health technologies (DHTs), such as wearable accelerometers, can capture physical activity and gait during daily life, enabling more objective assessments. In this study, we assess the feasibility of deploying DHTs in community-dwelling older individuals, and investigate the relationship between digital measurements of physical activity and gait in naturalistic environments and participants' frailty status, as measured by conventional assessments.

Borderline shades: Morphometric features predict borderline personality traits but not histrionic traits.

Borderline personality disorder (BPD) is one of the most diagnosed disorders in clinical settings. Besides the fully diagnosed disorder, borderline personality traits (BPT) are quite common in the general population. Prior studies have investigated the neural correlates of BPD but not of BPT.

Comparing reappraisal and acceptance strategies to understand the neural architecture of emotion regulation: a meta-analytic approach.

Introduction: In the emotion regulation literature, the amount of neuroimaging studies on cognitive reappraisal led the impression that the same top-down, control-related neural mechanisms characterize all emotion regulation strategies. However, top-down processes may coexist with more bottom-up and emotion-focused processes that partially bypass the recruitment of executive functions. A case in point is acceptance-based strategies.

"Holding in Anger" as a Mediator in the Relationship between Attachment Orientations and Borderline Personality Features.

Insecure attachment and difficulties in regulating anger have both been put forward as possible explanations for emotional dysfunction in borderline personality (BP). This study aimed to test a model according to which the influence of attachment on BP features in a subclinical population is mediated by anger regulation. In a sample of 302 participants, BP features were assessed with the Borderline features scale of the Personality Assessment Inventory (PAI-BOR), attachment was measured with the Experiences in Close Relationships-12 (ECR-12), and trait anger and anger regulation were assessed with the State and Trait Anger Expression Inventory-2 (STAXI-2).

Abnormal Brain Circuits Characterize Borderline Personality and Mediate the Relationship between Childhood Traumas and Symptoms: A mCCA+jICA and Random Forest Approach.

Borderline personality disorder (BPD) is a severe personality disorder whose neural bases are still unclear. Indeed, previous studies reported inconsistent findings concerning alterations in cortical and subcortical areas. In the present study, we applied for the first time a combination of an unsupervised machine learning approach known as multimodal canonical correlation analysis plus joint independent component analysis (mCCA+jICA), in combination with a supervised machine learning approach known as random forest, to possibly find covarying gray matter and white matter (GM-WM) circuits that separate BPD from controls and that are also predictive of this diagnosis.

Efficacy and Safety of Risankizumab for the Treatment of Hidradenitis Suppurativa: A Phase 2, Randomized, Placebo-Controlled Trial.

Introduction: Hidradenitis suppurativa (HS) is a chronic, immune-mediated skin condition characterized by inflammatory lesions that can cause pain, impaired physical activity, and reduced quality of life. This study evaluated the efficacy and safety of risankizumab, a humanized immunoglobulin G1 monoclonal antibody that specifically inhibits interleukin 23 by binding to its p19 subunit, for the treatment of HS.

Methods: This phase II multicenter, randomized, placebo-controlled, double-blind study investigated the efficacy and safety of risankizumab in patients with moderate-to-severe HS.

Anxious Brains: A Combined Data Fusion Machine Learning Approach to Predict Trait Anxiety from Morphometric Features.

Trait anxiety relates to the steady propensity to experience and report negative emotions and thoughts such as fear and worries across different situations, along with a stable perception of the environment as characterized by threatening stimuli. Previous studies have tried to investigate neuroanatomical features related to anxiety mostly using univariate analyses and thus giving rise to contrasting results. The aim of this study is to build a predictive model of individual differences in trait anxiety from brain morphometric features, by taking advantage of a combined data fusion machine learning approach to allow generalization to new cases.

Risankizumab in Patients with Moderate-to-Severe Atopic Dermatitis: A Phase 2, Randomized, Double-Blind, Placebo-Controlled Study.

Introduction: Atopic dermatitis (AD) is a heterogeneous disease, with involvement of the T-helper cell (Th) 2, Th22, and potentially Th17 pathways, supporting the use of interleukin (IL)-23 and IL-22 blockade in AD.

Methods: This phase 2, multicenter, randomized, double-blind, placebo-controlled trial (NCT03706040) evaluated the efficacy and safety of risankizumab, an IL-23 inhibitor, in patients (≥ 12 years old) with moderate-to-severe AD, defined by an Eczema Area and Severity Index (EASI) ≥ 16, affected body surface area ≥ 10%, and a Validated Investigator Global Assessment for AD (vIGA-AD) score ≥ 3. Patients were randomized 2:2:1 to 16-week treatment with risankizumab 150 mg, risankizumab 300 mg, or placebo in period A; patients receiving placebo were re-randomized 1:1 to risankizumab 150 mg or 300 mg and patients receiving risankizumab continued on their randomized dose in 36-week period B.

The gradient model of brain organization in decisions involving "empathy for pain".

Influential models of cortical organization propose a close relationship between heteromodal association areas and highly connected hubs in the default mode network. The "gradient model" of cortical organization proposes a close relationship between these areas and highly connected hubs in the default mode network, a set of cortical areas deactivated by demanding tasks. Here, we used a decision-making task and representational similarity analysis with classic "empathy for pain" stimuli to probe the relationship between high-level representations of imminent pain in others and these areas.

Efficacy and safety of risankizumab in Japanese patients with generalized pustular psoriasis or erythrodermic psoriasis: Primary analysis and 180-week follow-up results from the phase 3, multicenter IMMspire study.

Risankizumab, a humanized immunoglobin G1 monoclonal antibody that specifically inhibits interleukin 23 by binding to its p19 subunit, is approved in Japan to treat numerous indications, including generalized pustular psoriasis (GPP) and erythrodermic psoriasis (EP). Both GPP and EP are severe forms of psoriasis that have limited treatment options. In IMMspire (A Study to Assess Efficacy and Safety of Two Different Dose Regimens of Risankizumab Administered Subcutaneously in Japanese Subjects With Generalized Pustular Psoriasis or Erythrodermic Psoriasis) (NCT03022045), a phase 3, randomized, multicenter study in Japan, we evaluated the efficacy and safety of risankizumab for Japanese adults with GPP or EP.

Interpersonal emotion regulation questionnaire: psychometric properties of the Italian version and associations with psychopathology.

The emerging field of interpersonal emotion regulation (IER) is drawing attention to forms of emotion regulation which involve communication and social interaction as part of the regulation process. The availability of instruments to measure IER in different languages represents significant promise for future work in this field. The goal of the present study was to validate an Italian adaptation of a self-report instrument for the assessment of IER, the Interpersonal Emotion Regulation Questionnaire (IERQ; Hofmann et al.

Difficulties in interpersonal regulation of emotions (DIRE) questionnaire: Psychometric Properties of the Italian Version and Associations with psychopathological symptoms.

The goal of this research was to validate an Italian adaptation of the questionnaire Difficulties in Interpersonal Regulation of Emotions (DIRE) and to investigate its associations with psychopathology. An Italian sample ( = 630) completed the DIRE and the Symptom Checklist-90 (SCL-90). We tested the factorial structure of the DIRE using explorative and confirmatory factorial analyses; we analysed the convergent validity in terms of zero-order correlations with SCL-90 dimensions; and, we conducted multiple regressions to test the predictivity of DIRE factors on specific SCL-90 dimensions.

Psychotherapist Trainees' Quality of Life: Patterns and Correlates.

While psychotherapists are trained to improve their clients' quality of life, little work has examined the quality of life experienced by psychotherapist trainees themselves. Yet their life satisfactions and stresses would plausibly affect both their ability to learn new skills and conduct psychotherapy. Therefore, in the Society for Psychotherapy Research Interest Section on Psychotherapist Development and Training study, we investigated the patterns of self-reported life quality and their correlates in a multinational sample of 1,214 psychotherapist trainees.

Structural Features Related to Affective Instability Correctly Classify Patients With Borderline Personality Disorder. A Supervised Machine Learning Approach.

Previous morphometric studies of Borderline Personality Disorder (BPD) reported inconsistent alterations in cortical and subcortical areas. However, these studies have investigated the brain at the voxel level using mass univariate methods or region of interest approaches, which are subject to several artifacts and do not enable detection of more complex patterns of structural alterations that may separate BPD from other clinical populations and healthy controls (HC). Multiple Kernel Learning (MKL) is a whole-brain multivariate supervised machine learning method able to classify individuals and predict an objective diagnosis based on structural features.

Structural Features Predict Sexual Trauma and Interpersonal Problems in Borderline Personality Disorder but Not in Controls: A Multi-Voxel Pattern Analysis.

Child trauma plays an important role in the etiology of Bordeline Personality Disorder (BPD). Of all traumas, sexual trauma is the most common, severe and most associated with receiving a BPD diagnosis when adult. Etiologic models posit sexual abuse as a prognostic factor in BPD.

Case Report: Individualization of Intensive Transactional Analysis Psychotherapy on the Basis of Ego Strength.

In intensive transactional analysis psychotherapy (ITAP), intensity is obtained with both technical expedients and the relational manner with the patient. In ITAP, the therapist modulates pressure and support commensurately to the patients' ego strength. In the present article, we contrast two clinical cases of young adults in which ego strength produced different therapy outcomes and processes.

Psychotherapists' perception of their clinical skills and in-session feelings in live therapy online therapy during the COVID-19 pandemic: a pilot study.

During the coronavirus disease 2019 (COVID-19) pandemic, many psychotherapists who were used to seeing their patients in face-toface setting adapted to providing therapies online. In the present pilot study, we investigated therapist current experiences of online therapy compared to live therapy. Twenty-nine therapists completed , , and in-sessions feelings of , and of the , giving a score for each item in two different conditions: Live Therapy and Online Therapy.