Functional neurological symptom disorder in a patient with hemibody weakness: A case report.

Functional neurological symptom disorder (FNSD) is a complex condition with multifactorial etiology in which psychological factors may play a significant role in some patients, and they are not universally present or necessary for the diagnosis. FNSD can occur in the absence of psychological distress and each patient's presentation should be evaluated individually, considering a wide range of potential contributing factors. This is the first report related to prevalence data from Rwanda. This report presents a case study of a 15-year-old female patient who presented hemibody weakness without a structural neurological explanation on the background of the direct exposure to parental conflict. she was ultimately diagnosed with an FNSD and responded effectively to five sessions of cognitive behavioral therapy. Additionally, follow-up appointments were conducted every 4 months over the course of 1 year. During this period, the patient successfully resumed her studies and demonstrated normal functioning in all essential areas of daily life. This is the first reported case in Rwanda among similar cases. Addressing these specific stressors played a crucial role in the patient's overall outcome, leading to improved quality of care and prevention of unnecessary medical costs and interventions.

Psychotherapeutic and pharmacological agents for post-traumatic stress disorder with sleep disorder: network meta-analysis.

OBJECTIVE: The current guidelines and canonical norms of diagnosis or treatment for Post-traumatic stress disorder (PTSD) with sleep disorder are still conflicting and have not yet reached a consensus. This study aimed to unravel the most effective countermeasures between two categories (psychotherapy and pharmacotherapy) put forward by the National Institute for Health and Clinical Excellence (NICE) and World Federation of Societies of Biological Psychiatry (WFSBP) respectively to treat PTSD individuals co-exist with sleep disorders. METHODS: Four databases, including PubMed, EMBASE, Cochrane Library, and APA PsyNet, were searched from inception to February 02, 2023. RESULTS: Twenty articles with 24 Randomized controlled trials (RCTs) and a total number of 1,647 participants were included. As demonstrated in the network meta-analysis comparison results, CBT-I (standardized mean differences (SMD) = -1.51,95% confidence interval (CI):-2.55 to -0.47), CBT-I plus IRT (SMD = -1.71, 95%CI:-3.39, -0.03), prazosin (SMD = -0.87,95%CI:-1.59 to -0.16) and hydroxyzine (SMD = -1.06, 95%CI: -1.94 to -0.19) significantly reduced PTSD symptoms compared with placebo. In contrast to placebo, CBT-I (SMD = -5.61,95%CI:-8.82 to -2.40) significantly improved sleep quality. For nightmare severity, IRT (SMD =-0.65, 95%CI:-1.00 to -0.31), prazosin (SMD = -1.20,95%CI:-1.72 to -0.67) and hydroxyzine (SMD = -0.98,95%CI:-1.58 to -0.37) significantly reduced nightmare severity in comparison with placebo. CONCLUSIONS: This study suggested that under most circumstances, psychotherapy namely CBT-I had a favorable profile, but pharmacotherapy with prazosin was effective in managing nightmare severity. The sole avail of CBT-I was recommended to improving sleep quality while CBT-I and CBT-I plus IRT showed excellent management of PTSD symptom severity. Exposure to CBT-I isrecommended for depression. The relevant clinical guidelines for the management of individuals with PTSD and sleep disorders may regard this as a reference. PROSPERO: CRD42023415240.

Differences in Children and Adolescents with Depression before and after a Remediation Program: An Event-Related Potential Study.

Depression is clinically diagnosed when a defined constellation of symptoms manifests over a specific duration with notable severity. According to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), Major Depressive Disorder (MDD) is characterized by the presence of five or more symptoms persisting for at least two weeks. As a profound mental health condition affecting millions globally, depression presents a considerable challenge for researchers and clinicians alike. In pediatric and adolescent populations, depression can precipitate adverse outcomes, including substance abuse, academic difficulties, risky sexual behaviors, physical health problems, impaired social relationships, and a markedly elevated risk of suicide-up to thirty times higher than the general population. This paper details a study that evaluated the efficacy of Cognitive Behavioral Therapy (CBT) alone vs. CBT combined with selective serotonin reuptake inhibitors (SSRIs) in a treatment program. The study cohort comprised sixteen (16) children and adolescents diagnosed with depression (eight males and eight females) and sixteen (16) typically developing peers (eight males and eight females) aged from 9 to 15 years (Mean age = 11.94, standard deviation = 2.02). Initial assessments employed Event-Related Potentials (ERPs), the Children's Depression Inventory (CDI), and reaction time measurements. The results reveal that participants with depression exhibit cognitive deficits in attention and memory, as evidenced by prolonged P300 latencies. Following intervention with either CBT alone or CBT combined with medication, the depressed participants demonstrated significant improvements, evidenced by lower CDI scores, reduced P300 latencies, and faster reaction times, both compared to their pre-treatment status and relative to the control group.

The Food Addiction Clinical Treatment (FACT) Manual: A Harm Reduction Treatment Approach.

While the construct of food addiction has been controversial, there is growing evidence that certain foods can activate biobehavioral and neurological mechanisms consistent with addiction to other substances. Despite increased evidence and acceptance of certain foods as addictive substances amongst the scientific community, there is a paucity of interventions available that are uniquely suited for the treatment of this condition. Further, many of the addiction and disordered eating treatment models currently utilized for food addiction are seemingly at odds, with the former often recommending complete abstinence from trigger foods and the latter promoting intake of all foods in moderation. The Food Addiction Clinical Treatment (FACT) manual was created as an alternative using an empirically supported harm-reduction model specifically targeted to treat the addiction and disordered eating features of food addiction. The purpose of the current article is to expose readers to the key tenets of the FACT manual, demonstrate the feasibility of this intervention with a sample of participants with severe food addiction, and discuss future directions for the treatment of food addiction. Positive outcomes from this intervention provide preliminary evidence for the efficacy of FACT for the treatment of food addiction with minimal negative adverse effects. Future research using randomized control trials and longer follow-up is needed to validate the FACT manual as an empirically supported treatment for food addiction.

An Online Single-Session Cognitive Behavioral Therapy for Depression and Anxiety Associated with Multiple Sclerosis-Pilot Study.

Background: Multiple sclerosis (MS) is one of the most debilitating neurodegenerative diseases in youth, significantly affecting all life domains. Therefore, a strong association between MS, depression and anxiety symptoms has been established. The objective of the present interventional one-group pretest-posttest study is to assess the feasibility of an online single-session intervention (SSI) based on a cognitive behavioral therapy protocol targeting depressive and anxiety symptoms, psychological mechanisms, fatigue and overall health status. Methods: In this pilot study, 31 patients with MS (Mage = 42 years, SD = 12.2) received the online CBT SSI. The impact of the intervention was assessed using validated instruments two weeks after the intervention and after a two-month follow-up period. Results: Statistically significant effects were observed for the reduction of depression, with B = -7.58, 95% CI (-12.84, -2.31) and p < 0.01, and anxiety, with B = -15.17, 95% CI (-18.31, -12.02) and p < 0.001, at post-test and follow-up screening. Additionally, positive outcomes were seen for irrational beliefs at post-test, with B = -25.86, 95% CI (-46.10, -5.61), along with negative automatic thoughts, with B = -4.47, 95% CI (-10.65, 1.71), which were preserved at follow-up. Despite the health status also improving, no significant changes were observed for dysfunctional attitudes and fatigue. Conclusions: This research proves that the online CBT SSI was efficient for decreasing mild to moderate symptoms of depression and anxiety and reducing the intensity of dysfunctional psychological mechanisms in our sample.

Treating Mental Health and Quality of Life in Older Cancer Patients with Cognitive Behavioral Therapy: A Systematic Review and Meta-Analysis.

BACKGROUND: Cognitive behavioral therapy (CBT) has been successfully utilized in improving mental health (MH) and quality of life (QoL) in the general population, regardless of age. Cancer, which is most frequently diagnosed in older adults, is a debilitating illness that has a detrimental and long-lasting effect on patients' MH and QoL. While numerous studies have demonstrated CBT's efficacy, little evidence exists for its role in older cancer patients. This study, using MH and QoL metrics, evaluates the effectiveness of CBT for older adult cancer patients. METHODS: Focusing on MH and QoL and an average age of over 60 years old, a final analysis was performed on 17 clinical trials with a total of 124 effect sizes, including 3073 participants receiving CBT. "Metaphor" and "Robumeta" packages in R Statistical Software (version 4.2.2) were used for analysis, which included robust variance estimation (RVE) in intercept-only meta-regression, and univariate meta-regression for moderator analysis. RESULTS: With 17 clinical trials and 124 effect sizes, our results show that CBT moderately improves MH and QoL in cancer patients d = 0.19, 95% CI 0.0166-0.364, p < 0.0399. The delivery format was shown to be a strong moderator of CBT effectiveness with interpersonal technological interventions combined with pre-programmed segments having a very strong treatment effect size (d = 1.7307, 95% CI 1.5244-1.937, p < 0.001). CONCLUSIONS: The use of CBT in older adult cancer patients statistically improves MH and QoL, with delivery format and stages of treatment having important roles. Tech-only interpersonal interventions combined with pre-programmed CBT provide an avenue for targeting older adult cancer patients.

Algorithm-Based Modular Psychotherapy Alleviates Brain Inflammation in Generalized Anxiety Disorder.

Generalized anxiety disorder (GAD) is marked by prolonged and excessive worry, physical signs of anxiety, and associated neuroinflammation. Traditional treatments, like pharmacotherapy and cognitive-behavioral therapy (CBT), often leave residual symptoms and have high relapse rates. This study aimed to explore the efficacy of algorithm-based modular psychotherapy (MoBa), a combination of CBT and mindfulness meditation as validated by the research domain criteria (RDoC), in reducing anxiety and neuroinflammation in GAD. A longitudinal design was used, with 50 patients with GAD undergoing a 12-week MoBa treatment. The patients were investigated pre- and post-treatment using MRI to measure neuroinflammatory markers (DBSI-RF, diffusion-basis spectral imaging-based restricted fraction) in the hippocampus, amygdala, and neocortex. Clinical symptoms were assessed using the Hamilton Anxiety Rating Scale (HAM-A) and the Generalized Anxiety Disorder 7-item scale (GAD-7). Results indicated significant reductions in both anxiety symptoms and MRI RF values in the amygdala, suggesting decreased neuroinflammation. A reduction in anxiety was associated with the amelioration of neuroinflammation in the amygdala. These results suggest that MoBa is effective in alleviating both the psychological and neuroinflammatory aspects of GAD, offering a promising personalized treatment approach. Future research should focus on long-term effects and the mechanisms through which MoBa impacts neuroinflammation and anxiety.

Neural Responses to Auditory Food Stimuli Following Cognitive Behavioral Therapy for Binge-Eating Disorder.

OBJECTIVE: Adults with binge-eating disorder (BED), compared with those without BED, demonstrate higher blood-oxygen-level-dependent (BOLD) response to food cues in reward-related regions of the brain. It is not known whether cognitive behavioral therapy (CBT) can reverse this reward system hyperactivation. This randomized controlled trial (RCT) assessed changes in BOLD response to binge-eating cues following CBT versus wait-list control (WLC). METHOD: Females with BED (N = 40) were randomized to CBT or WLC. Participants completed assessments at baseline and 16 weeks including measures of eating and appetite and functional magnetic resonance imaging (fMRI) to measure BOLD response while listening to personalized scripts of binge-eating and neutral-relaxing cues. Data were analyzed using general linear models with mixed effects. RESULTS: Overall retention rate was 87.5%. CBT achieved significantly greater reductions in binge-eating episodes than WLC (mean ± standard error decline of 14.6 ± 2.7 vs. 5.7 ± 2.8 episodes in the past 28 days, respectively; p = 0.03). CBT and WLC did not differ significantly in changes in neural responses to binge-eating stimuli during the fMRI sessions. Compared with WLC, CBT had significantly greater improvements in reward-based eating drive, disinhibition, and hunger as assessed by questionnaires (ps < 0.05). DISCUSSION: CBT was effective in reducing binge eating, but, contrary to our hypothesis, CBT did not improve BOLD response to auditory binge-eating stimuli in reward regions of the brain. Further studies are needed to assess mechanisms underlying improvements with CBT for BED. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03604172.

Are Differences Evident in the Ways Boys and Girls Appraise and Interpret Their Traumatic Experiences? A Qualitative Analysis of Youth Trauma Narratives.

The purpose of this study was to explore potential similarities and differences in the ways boys and girls appraise and interpret their traumatic experiences, and better understand how gender roles, performance, and socialization processes may impact trauma experiences, appraisals, and narratives within the context of trauma-focused treatment. We used thematic analysis to analyze the trauma narratives of youth (N = 16) ages 8-16 who had experienced multiple types (M = 5.38) of child maltreatment and who were receiving Trauma-focused Cognitive Behavioral Therapy to address clinically elevated posttraumatic stress symptoms. Four themes emerged: variations in the content of negative cognitions, differences in relational emotion, adoption of socially prescribed gender roles, and symptom differences. Although many similarities existed in youth's trauma narratives, differences emerged that point to the importance of social context and the ways gender role expectations and socialization processes influence youth's appraisal of and responses to traumatic events. Findings indicate the importance of considering distress tolerance, relational emotion, gender identity development, and role socialization within the treatment milieu.

The Contribution of Shame to Eating Disorder Treatment Outcomes in a Community Mental Health Clinic.

OBJECTIVE: Shame is a powerful self-conscious emotion that is often experienced by individuals with eating disorders (EDs). While the association between EDs and shame is well-established, there is limited research investigating the contribution of pre-treatment shame to clinical outcomes. METHOD: Participants (N = 273) received outpatient cognitive-behavioral therapy for eating disorders (CBT-ED). We investigated pre-treatment shame as a predictor of dropout and as a moderator of change in ED psychopathology and clinical impairment from pre-treatment to post-treatment. We also explored the potentially moderating roles of body mass index, ED diagnostic category, and co-occurring anxiety and depression diagnoses. RESULTS: Shame improved substantially (d = 1.28) despite not being explicitly targeted in treatment. Pre-treatment shame did not predict treatment dropout. Individuals high in shame started and ended treatment with higher ED symptoms and impairment than those with low shame. The contribution of pre-treatment shame on the degree of change in symptoms/impairment depended critically on whether analyses controlled for pre-treatment symptoms/impairment. When those were controlled, high pre-treatment shame was associated with substantially less improvement in ED symptoms and impairment. There was some evidence that ED diagnosis and co-occurring depressive diagnoses may moderate the relationship between shame and treatment outcome. Changes in shame were positively associated with changes in ED symptoms and clinical impairment. DISCUSSION: A high level of shame at pre-treatment is not a contraindication for CBT-ED as good therapeutic outcomes can be achieved. However, outcomes may be enhanced among individuals high in shame by offering adjunctive interventions that explicitly target shame.

Efficacy of cognitive behavioral therapy for anxiety and depression in Parkinson's disease patients: an updated systematic review and meta-analysis.

BACKGROUND: Parkinson's disease (PD) patients often experience non-motor symptoms like depression and anxiety, significantly impacting their quality of life. With the limited effectiveness of pharmacological treatments, effective non-pharmacological interventions are needed. This systematic review and meta-analysis aimed to evaluate the efficacy of cognitive-behavioral therapy (CBT) in reducing depression and anxiety symptoms in PD patients. METHODS: Randomized controlled trials (RCTs) exploring CBT's effectiveness for depression and anxiety in PD patients were included. Studies published until April 2023 were identified from PubMed, Web of Science, and Scopus. Methodological quality was assessed using the Risk of Bias-2 (ROB-2) tool. Statistical analysis involved calculating the standardized mean difference (SMD) and corresponding 95% confidence intervals (CIs) using Review Manager 5.4.1. RESULTS: The systematic review included 12 studies involving 241 PD patients. CBT led to a substantial reduction in anxiety (SMD -0.95, 95% CI [-1.15 to -0.74], P < 0.00001) and depression (SMD -1.02, 95% CI [-1.39 to -0.65], P < 0.0001). Both traditional CBT and tele-CBT (administered over the phone or internet) were effective in treating depression and anxiety. Traditional CBT improved depression (SMD -1.16, 95% CI [-1.83 to -0.49], P < 0.00001), while tele-CBT showed comparable results (SMD -0.90, 95% CI [-1.31 to -0.48], P < 0.00001). For anxiety, both traditional CBT (SMD -0.94, 95% CI [-1.25 to -0.63], P < 0.00001) and tele-CBT (SMD -0.95, 95% CI [-1.22 to -0.67], P < 0.00001) significantly reduced symptoms. In conclusion, this systematic review and meta-analysis demonstrated the efficacy of CBT in reducing depression and anxiety in PD patients. Healthcare providers are encouraged to integrate CBT into their treatment protocols. However, additional high-quality studies with longer-term follow-up assessments are needed to further enhance understanding in this area. PROSPERO REGISTRATION: CRD42023424758.

A scoping review of the evidence on pharmacological and non-pharmacological interventions for idiopathic hypersomnia.

STUDY OBJECTIVES: Idiopathic hypersomnia (IH) is characterized by excessive sleepiness during the day, prolonged sleep at night, and difficulty waking up. The true prevalence of IH is uncertain. ICSD provides criteria for diagnosing IH; however, the definition has evolved. Managing IH involves using pharmacologic and non-pharmacologic approaches, although the most effective strategies are still unclear. The objective of this scoping review was to identify the extent, range, and nature of the available evidence, identify research gaps, and discuss the implications for clinical practice and policy. METHODS: To conduct this review, a comprehensive search was conducted across scientific databases, without any restrictions on the date or study type. Eligible studies examined the effectiveness of pharmacologic and non-pharmacologic treatments for IH and reported the outcomes of these interventions. Data from the studies were screened, analyzed, and synthesized to provide an overview of the available literature landscape. RESULTS: 51 studies were included in this review, which used various methods and interventions. Pharmacological treatments, particularly modafinil, have been frequently studied and have yielded positive results. There is also emerging evidence for alternative medications such as low-sodium oxybate and pitolisant. Non-pharmacological approaches, such as CBT-H and tDCS have also shown promise in managing IH. CONCLUSIONS: This review highlights the complexity of managing IH management and emphasizes the need for personalized multidisciplinary approaches. Pharmacological interventions are important in managing IH and can be complemented by non-medication strategies. Larger-scale studies are necessary to advance our understanding of IH and to improve treatment outcomes.

Living well with chronic pain: a 12-month randomized controlled trial revealing impact from the digital pain self-management program EPIO.

Introduction: Chronic pain affects a wide range of physical and psychological aspects of life for those impacted. Psychosocial treatment approaches may be of support, but outreach is still limited. Objectives: To evaluate the efficacy of EPIO, an evidence-informed, user-centered digital self-management intervention for people with chronic pain, in a 12-month randomized controlled trial. Methods: People living with chronic pain (N = 266) were randomized to the EPIO intervention (n = 132) or a usual-care control group (n = 134). The intervention was delivered in a simple blended care model, and outcome measures collected at baseline, 6 months, and 12 months. Generalized linear models for repeated measures were fitted to compare groups over time. Results: Participants were primarily female (81%), median age 49 years (range 22-78), with heterogeneous pain conditions, and had lived with pain >5 years (77.6%). A mixed linear model with all timepoints included revealed no statistically significant group differences for the primary outcome of pain interference. Significant psychological benefits in favor of the intervention group were however detected for depression (P = 0.022), self-regulatory fatigue (P = 0.024), vitality (P = 0.016), and mental health (P = 0.047). Baseline to 12-month changes showed additional favorable effects for anxiety (between-group mean differences [MDs] = 0.79, P = 0.047), depression (MD = 1.08, P = 0.004), self-regulatory fatigue (MD = 2.42, P = 0.021), pain catastrophizing (MD = 2.62, P = 0.009), and health-related quality of life. Conclusions: The EPIO program aims to improve outreach of evidence-based pain self-management interventions. Findings demonstrate how using EPIO can lead to sustainable psychological change, enhancing mental health and health-related quality of life for people suffering from pain, providing a chance to live well with the pain.

A Review of Current Digital Mental Health Care Applications for Anxiety Symptoms and Future Prospects.

OBJECTIVE: Since the impact of the coronavirus disease-2019 pandemic, the need for efficiency in medical services has become more urgent than ever. The digital treatment market is rapidly growing worldwide and digital therapeutics (DTx), a major part of the digital medical services, is also emerging as a new paradigm for treatment, with its industry growing rapidly as well. Increasing research is done on the effectiveness of mobile DTx in improving mental health conditions such as insomnia, panic, and depression. METHODS: This review paper investigates 1) the functions and characteristics of mobile digital mental health care applications for the treatment of anxiety symptoms, 2) extracts common attributes of the applications, and 3) compares them with existing traditional treatment mechanisms. RESULTS: Among the 20,000 mental health management applications that have been developed so far, 8 applications that are relatively widely used were selected and reviewed. Check-in, self-help tips, quick relief, journal, courses for practice are common features of the digital mental health care applications for anxiety and are also widely used feature in the cognitive behavioral therapy. CONCLUSION: Based on this review, we have proposed the essential elements and directions for the development of a Korean digital mental health care applications for anxiety disorders.

Behavioral Activation and Brain Network Changes in Depression.

Behavioral activation (BA) is a well-established method of evidence-based treatment for depression. There are clear links between the neural mechanisms underlying reward processing and BA treatment for depressive symptoms, including anhedonia; however, integrated interpretations of these two domains are lacking. Here we examine brain imaging studies involving BA treatments to investigate how changes in brain networks, including the reward networks, mediate the therapeutic effects of BA, and whether brain circuits are predictors of BA treatment responses. Increased activation of the prefrontal and subcortical regions associated with reward processing has been reported after BA treatment. Activation of these regions improves anhedonia. Conversely, some studies have found decreased activation of prefrontal regions after BA treatment in response to cognitive control stimuli in sad contexts, which indicates that the therapeutic mechanism of BA may involve disengagement from negative or sad contexts. Furthermore, the decrease in resting-state functional connectivity of the default-mode network after BA treatment appears to facilitate the ability to counteract depressive rumination, thereby promoting enjoyable and valuable activities. Conflicting results suggest that an intact neural response to rewards or defective reward functioning is predictive of the efficacy of BA treatments. Increasing the benefits of BA treatments requires identification of the unique individual characteristics determining which of these conflicting findings are relevant for the personalized treatment of each individual with depression.

Predicting response to stepped-care cognitive behavioral therapy for insomnia using pre-treatment heart rate variability in cancer patients.

OBJECTIVE: This study examined whether high frequency heart-rate variability (HF-HRV) and HF-HRV reactivity to worry moderate response to cognitive behavioural therapy for insomnia (CBT-I) within both a standard and stepped-care framework among cancer patients with comorbid insomnia. Biomarkers such as HF-HRV may predict response to CBT-I, a finding which could potentially inform patient allocation to different treatment intensities within a stepped-care framework. METHODS: 177 participants (86.3 % female; Mage = 55.3, SD = 10.4) were randomized to receive either stepped-care or standard CBT-I. 145 participants had their HRV assessed at pre-treatment during a rest and worry period. Insomnia symptoms were assessed using the Insomnia Severity Index (ISI) and daily sleep diary across five timepoints from pre-treatment to a 12-month post-treatment follow-up. RESULTS: Resting HF-HRV was significantly associated with pre-treatment sleep efficiency and sleep onset latency but not ISI score. However, resting HF-HRV did not predict overall changes in insomnia across treatment and follow-up. Similarly, resting HF-HRV did not differentially predict changes in sleep diary parameters across standard or stepped-care groups. HRV reactivity was not related to any of the assessed outcome measures in both cross-sectional and longitudinal analyses. CONCLUSION: Although resting HF-HRV was related to initial daily sleep parameters, HF-HRV measures did not significantly predict longitudinal responses to CBT-I. These findings suggest that HF-HRV does not predict treatment responsiveness to CBT-I interventions of different intensity in cancer patients.

Using Restricted Interests in Cognitive Behavioral Therapy for Children With Autism Spectrum Disorder: Results From a Preliminary Randomized Controlled Trial.

Children with autism spectrum disorder (ASD) exhibit significant deficits in social communication and emotion regulation skills. While cognitive behavioral therapy (CBT) applications appear promising, trials to date have largely excluded social communication skill development and have not been designed to include a wider range of emotional challenges. To our knowledge, the present study is the first to pilot a uniquely modified CBT program targeting emotion regulation, including social communication training, and explicitly focusing on the child's areas of circumscribed interest in order to teach skills and promote generalization. Forty participants were randomly assigned to either the CBT group or a waitlist control (WLC) group, resulting in 20 school-aged children in each group. The treatment approach was determined to be feasible and acceptable, and therapy engagement and attendance were reasonably high. Caregivers expressed high satisfaction with the program, qualitatively citing gains in skills such as social problem-solving, emotion identification, and identifying and processing cognitive distortions. The primary outcome of postintervention changes was not significantly different between the groups (CBT vs. WLC). The mean Social Skills Improvement System score decreased by 0.44 points (95% confidence interval [CI]: -5.04, 4.15) in the CBT group and increased by 0.41 points (95% CI: -4.23, 5.04) in the WLC group, and the postintervention changes were not significantly different between the groups (difference: -0.85; 95% CI: -7.29, 5.60; p = .79). The estimated rate of emotional dysregulation episodes decreased by a factor of 0.94 (95% CI: 0.57, 1.56) in the CBT group and increased by a factor of 1.07 (95% CI: 0.51, 2.24) for WLC (p = .74). Among those who reported emotional dysregulation episodes, the mean duration decreased by 1.39 minutes (95% CI: -3.90, 6.67) less for CBT than waitlist (p = .60). Although satisfaction, acceptability, and emotional dysregulation outcome results from this preliminary CBT treatment for ASD are promising, sample size and measurement limitations will be important considerations to inform future trials.

Investigating an Acceptance and Commitment Therapy-Based Exposure Therapy Intervention in Treatment-Refractory OCD and Related Disorders: Changes in Psychological Flexibility, Treatment Engagement, and Treatment Perceptions.

While exposure therapy is the most effective psychological treatment for obsessive-compulsive disorder (OCD), anxiety, and traumatic stress-related disorders, it is not universally effective, indicating a need for further treatment optimization. This study investigated a shift in approach to exposure therapy with 29 treatment-refractory adults in an OCD clinic not responding to standard treatment, comprising habituation-based exposure therapy. Participants completed standard exposure as a continuation of standard clinic treatment, followed by an acceptance and commitment therapy (ACT) consultation session to assess psychological inflexibility processes interfering with treatment progress, and then an ACT-based exposure targeting behavior change through increasing psychological flexibility. After each exposure, participants and independent raters reported levels of psychological flexibility, rituals, distress, treatment engagement, and treatment perceptions. We observed that the shift to ACT-based exposure was associated with greater psychological flexibility, treatment engagement, treatment acceptability, and treatment preference. These findings suggest that there may be situations where ACT-based exposure has particular utility.

Increasing the Therapeutic Dosage by Combining Cognitive Behavior Group Therapy With a Monitored Self-Help Group.

Objective: A problem in psychotherapy is the limited availability of psychotherapists. This can not only delay the start of therapy but also curtail the number of sessions and the therapeutic dosage. An option to extend the therapeutic dose without an increase in therapist time may be to combine group psychotherapy with a self-help group. The goal of the present study is to investigate how patients judge this treatment mode and to what degree the contents of a regular group treatment are pursued in a parallel self-help group.Method: Seventy-two psychosomatic inpatients participated in cognitive behavior group therapy and parallel self-help group, which was monitored by the therapist during the regular group therapy sessions. Patients in both groups filled in a questionnaire that asked for the content of the group session, how patients had experienced the interaction, and what they had taken from the group.Results: Patients reported that in the self-help group, they discussed similar topics as in the regular group therapy, like how to deal with anxiety or sadness, how to interact with other people, and how to cope with their mental disorder and problems at work, in the family, or with friends. Patients indicated that there was more relaxed chatting in the self-help group, whereas learning new behavior was reported more frequently for the regular group therapy.Conclusions: In the regular group therapy and the guided self-help group, similar topics were discussed, which suggests that a combination of both can extend the therapeutic process and increase the therapeutic dosage without costs for the therapist or the institution.

Deep learning-based dimensional emotion recognition for conversational agent-based cognitive behavioral therapy.

Internet-based cognitive behavioral therapy (iCBT) offers a scalable, cost-effective, accessible, and low-threshold form of psychotherapy. Recent advancements explored the use of conversational agents such as chatbots and voice assistants to enhance the delivery of iCBT. These agents can deliver iCBT-based exercises, recognize and track emotional states, assess therapy progress, convey empathy, and potentially predict long-term therapy outcome. However, existing systems predominantly utilize categorical approaches for emotional modeling, which can oversimplify the complexity of human emotional states. To address this, we developed a transformer-based model for dimensional text-based emotion recognition, fine-tuned with a novel, comprehensive dimensional emotion dataset comprising 75,503 samples. This model significantly outperforms existing state-of-the-art models in detecting the dimensions of valence, arousal, and dominance, achieving a Pearson correlation coefficient of r = 0.90, r = 0.77, and r = 0.64, respectively. Furthermore, a feasibility study involving 20 participants confirmed the model's technical effectiveness and its usability, acceptance, and empathic understanding in a conversational agent-based iCBT setting, marking a substantial improvement in personalized and effective therapy experiences.