BACKGROUND: Paranoia is relatively common but can lead to significant distress, impairment and need for care. Digital technologies offer a valuable extension to service provision and are increasingly being integrated into healthcare. This systematic review evaluated feasibility, acceptability, and effectiveness of digitally enhanced psychological assessments and treatments for paranoia across the paranoia continuum (PROSPERO: CRD42023393257).
METHODS: Databases PsychINFO, EMBASE, MEDLINE and Web of Science were searched until 12 June 2023; the Effective Public Health Practice Project (EPHPP) quality assessment tool evaluated studies; and a narrative synthesis was conducted.
RESULTS: Twenty-seven studies met inclusion criteria (n = 3457, 23 assessment and 4 treatment, 2005-2023, most in Europe). Technologies included virtual reality (VR, n = 23), experience sampling methodology (ESM, n = 2), an app (n = 1) and a combination of VR and ESM (n = 1). Assessments involved monitoring paranoia under various virtual conditions or in everyday life. Treatments were generally integrated with Cognitive Behaviour Therapy (CBT), which involved using VR to test out threat beliefs and drop safety behaviours or using an app to support slowing down paranoid thinking. EPHPP ratings were strong (n = 8), moderate (n = 12) and weak (n = 7).
CONCLUSIONS: Digitally enhanced assessments and treatments showed promising acceptability, feasibility and treatment effectiveness. Limitations of studies include small sample sizes, lack of comparison groups and long-term data and limited randomised controlled trials. Results support the potential future integration of VR in the assessment of paranoia and show promise for treatments such as CBT, although further clinical trials are required. Investigation of other technologies is limited.

Internet Gaming Disorder (IGD) is an emerging public health concern; effective treatments are still under development. This mini-review focuses on summarizing the main scientific evidence from psychological, pharmacological, brain imaging, and emerging treatment approaches for IGD. We searched PubMed and Scopus databases using keywords related to IGD and treatment. Cognitive behavioral therapy (CBT) is the most extensively researched psychological treatment for IGD, supported by several randomized controlled trials (RCTs). Other promising approaches include mindfulness, relapse prevention, abstinence protocols, and family therapy. Pharmacological treatments like bupropion and escitalopram have shown benefits, especially when IGD is comorbid with conditions like major depressive disorder. However, the quality of evidence is moderate for psychological interventions but low to moderate for pharmacological approaches. Emerging treatments such as transcranial direct current stimulation (tDCS), repetitive transcranial magnetic stimulation (rTMS), and electro-acupuncture have demonstrated efficacy in reducing IGD symptoms and modulating brain activity. Brain imaging techniques like functional magnetic resonance imaging (fMRI) have provided insights into the neural mechanisms underlying IGD and treatment effects, although these studies lack randomized controlled designs. While multimodal approaches show promise, larger, well-designed RCTs are needed to establish effective IGD treatments.

BACKGROUND: Non-invasive brain stimulation (NIBS) combined with cognitive training (CT) may have shown some prospects on improving cognitive function in patients with Alzheimer\'s disease (AD) and mild cognitive impairment (MCI). However, data from clinical trials or meta-analysis involving NIBS combined with CT have shown controversial results. The aim of this systematic review and meta-analysis was to evaluate short-term and long-term effects of NIBS combined with CT on improving global cognition and other specific cognitive domains in patients with AD and MCI.
METHODS: This systematic review and meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Five electronic databases including PubMed, Web of Science, EBSCO, Cochrane Library and Embase were searched up from inception to 20 November 2023. The PEDro scale and the Cochrane\'s risk of bias assessment were used to evaluate risk of bias and methodological quality of included studies. All statistical analyses were conducted with Review Manager 5.3.
RESULTS: We included 15 studies with 685 patients. The PEDro scale was used to assess methodological quality with a mean score of 7.9. The results of meta-analysis showed that NIBS combined with CT was effective on improving global cognition in AD and MCI (SMD = 0.52, 95% CI (0.18, 0.87), p = 0.003), especially for patients accepting repetitive transcranial magnetic stimulation (rTMS) combined with CT (SMD = 0.46, 95% CI (0.14, 0.78), p = 0.005). AD could achieve global cognition improvement from NIBS combined with CT group (SMD = 0.77, 95% CI (0.19, 1.35), p = 0.01). Transcranial direct current stimulation (tDCS) combined with CT could improve language function in AD and MCI (SMD = 0.29, 95% CI (0.03, 0.55), p = 0.03). At evaluation follow-up, rTMS combined with CT exhibited larger therapeutic responses to AD and MCI in global cognition (SMD = 0.55, 95% CI (0.09, 1.02), p = 0.02). AD could achieve global cognition (SMD = 0.40, 95% CI (0.03, 0.77), p = 0.03) and attention/working memory (SMD = 0.72, 95% CI (0.23, 1.20), p = 0.004) improvement after evaluation follow-up from NIBS combined with CT group.
CONCLUSIONS: Overall, NIBS combined with CT, particularly rTMS combined with CT, has both short-term and follow-up effects on improving global cognition, mainly in patients with AD. tDCS combined with CT has advantages on improving language function in AD and MCI. Future more studies need evaluate cognitive effects of NIBS combined with CT on other specific cognitive domain in patients with cognitive deterioration.

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.e., combined with cognitive therapy), compared to a picture-based CET (PCET), in reducing self-reported cocaine craving in inpatients hospitalized for CUD.
METHODS: Fifty-four inpatients hospitalized for CUD will be randomized in one of two intensive 3-week treatment arms: 10 meetings/2-week treatment of VRCET plus 5 meetings/1-week treatment of memory-focused cognitive therapy (MFCT; experimental arm), or 15 meetings/3-week treatment of PCET (active control arm). The Craving Experience Questionnaire (CEQ - F & S) will be used to assess the primary outcome, i.e., the post-treatment decrease of self-reported cocaine craving frequency (within the past 2 weeks) and intensity scores (in VR exposure to cocaine cues). Secondary endpoints include urinary, physiological, and self-reported cocaine use-related measures. Assessments are scheduled at pretreatment, after 2 weeks of treatment (i.e., VRCET vs. PCET), post-treatment (3 weeks, i.e., VRCET + MFCT vs. PCET), and at 1-month follow-up. Acceptability will be evaluated via (i) the Spatial Presence for Immersive Environments - Cybersickness along VRCET and (ii) the Client Satisfaction Questionnaires after 2 weeks of treatment and post-treatment.
CONCLUSIONS: This study will be the first to evaluate the acceptability and efficacy of VRCET for CUD, as a psychotherapeutic add-on, to reduce both cocaine craving frequency and intensity. Additionally, this study will provide evidence about the specific interest of VRCET, compared to a non-VR-based CET, as a cue reactivity and exposure paradigm for treating substance use disorders.
BACKGROUND: NCT05833529 [clinicaltrials.gov]. Prospectively registered on April 17, 2023.

BACKGROUND: According to the World Health Organization, alcohol is a major global public health problem, leading to a significant increase in illness and death. To treat alcohol use disorders, new therapeutic tools are being promoted, among which virtual reality (VR) shows promise. Previous research has demonstrated the efficacy of VR in reducing alcohol cravings in patients, but there is a lack of data on its effectiveness in maintaining abstinence or reducing consumption in recently abstinent individuals. The E-Reva study aims to compare the efficacy of a treatment strategy combining virtual reality cue exposure therapy (VR-CET) and cognitive behavioral therapy (CBT) with conventional CBT in reducing alcohol consumption and craving in patients with alcohol use disorder (AUD). In addition to this primary objective, the study will compare the effects of VR-CET combined with CBT on anxiety, depression, rumination, and feelings of self-efficacy versus conventional CBT.
METHODS: This prospective randomized controlled trial will be conducted over 8 months in four addiction departments in France. It includes two parallel groups: i) the VR-CET + CBT group, and ii) the CBT-only group, which serves as a control group. Participants will be recruited by the investigating doctor in the addiction centers. The sample will consist of 156 patients diagnosed with AUD and abstinent for at least 15 days. Both treatment groups will participate in four group CBT sessions followed by four individual sessions: i) the VR-CET group will be exposed to virtual environments associated with alcohol-related stimuli, ii) the CBT-only group will receive traditional CBT sessions. After completion of the 8 sessions, patients will be followed up for 6 months. The primary outcome is the cumulative number of standard drinks consumed at 8 months, assessed using the TLFB method.
CONCLUSIONS: Despite the promise of VR-CET to reduce the desire to drink, the effect on alcohol consumption remains uncertain in the existing literature. Our protocol aims to address the limitations of previous research by increasing sample size, targeting consumption reduction, and incorporating neutral environments. E-Reva aims to enrich the literature on the use of VR in the treatment of AUD and open new perspectives for future interventions.
BACKGROUND: ClinicalTrials.gov ID NCT06104176, Registered 2023/11/13 ( https://clinicaltrials.gov/study/NCT06104176?id=NCT06104176&rank=1 ). N° IDRCB: 2022-A02797-36. Protocol version 1.0, 12/05/2023.

Prior research suggests that the effects of specific cognitive-behavioral therapy (CBT) modules on symptom outcomes can be estimated. We conducted a study utilizing idiographic and nomothetic methods to clarify which CBT modules are most effective for youth depression, and for whom they are most effective. Thirty-five youths received modular CBT for depression. Interrupted time series models estimated whether the introduction of each module was associated with changes in internalizing symptoms, whereby significant symptom reduction would suggest a therapeutic response to the module. Regression models were used to explore whether participant characteristics predicted subgroups of youths based on their estimated response to certain types (e.g., cognitive) of modules, and whether group membership was associated with posttreatment outcomes. Thirty youths (86%) had at least one module associated with a significant change in internalizing symptoms from premodule delivery to postmodule delivery. The specific modules associated with these changes varied across youths. Behavioral activation was most frequently associated with symptom decreases (34% of youths). No participant characteristics predicted estimated response to module type, and group membership was not significantly associated with posttreatment outcomes. Youths display highly heterogeneous responses to treatment modules, indicating multiple pathways to symptom improvement for depressed youths.

Data suggests that despite the availability of evidence-based psychological treatments for eating disorders (EDs), techniques from these therapies may be less frequently used within real-life clinical practice. The aim of this study was to provide the opportunity for clinicians to give feedback on their experiences treating EDs using cognitive-behavioral therapy (CBT) through reporting on use of CBT techniques and barriers to treatment implementation in naturalistic settings. Clinicians (N = 126) who self-identified as using CBT for EDs reported demographic information, frequency/usefulness of empirically supported treatment techniques, problems/limitations of CBT, and barriers faced while implementing CBT. The most frequently used technique reported by clinicians was psychoeducation, and the least frequently used technique was use of surveys to address mind reading. Patients\' unwillingness to follow a meal plan/nutritional guide was rated as the most impactful barrier, alongside ED severity. Of the problems/limitations of CBT, too little guidance on treating co-occurring symptoms was rated as the most impactful. This study provided a mechanism for clinicians to share their experiences using CBT for EDs in real-world settings. Overall, results regarding frequency of use and usefulness of techniques indicate a high level of endorsement. Moreover, the most frequently endorsed barriers to/limitations of CBT related to lack of guidance on treating complex ED presentations. Future research should explore ways to treat cases that go beyond the prototypical ED case and explore ways to adapt CBT to meet the needs of naturalistic treatment settings.

Understanding within-person variation between theorized mechanisms of disorder and depressive symptoms can help identify targets for interventions. Cognitive models of depression hypothesize dysfunctional attitudes as underlying vulnerability factors, while the metacognitive model places emphasis on dysfunctional metacognitive beliefs. However, no previous study has tested the relative importance of change in dysfunctional attitudes and metacognitive beliefs as predictors of change in depressive symptoms within individuals. In a sample of 1,418 individuals measured at four time-points separated by 5-week intervals, a multilevel model approach was used to test the relative importance of change in dysfunctional attitudes and metacognitive beliefs as predictors of change in depressive symptoms. Change in dysfunctional attitudes and metacognitive beliefs predicted change in depressive symptoms over time. However, change in metacognitive beliefs and in particular negative metacognitive beliefs and judgements of cognitive confidence were significantly stronger predictors of change in depressive symptoms compared to dysfunctional attitudes. Furthermore, change in metacognitive beliefs predicted change in dysfunctional attitudes beyond change in depressive symptoms. These results suggest that metacognitive beliefs rather than dysfunctional attitudes might be more important for depressive symptoms over time within persons and that metacognitive change may also influence dysfunctional attitudes over time. Metacognitive beliefs are therefore a promising target for treatment and prevention aiming to reduce depressive symptoms, but replication of our results in clinical samples is warranted before more clear conclusions can be drawn.

This study explored clinical and sociodemographic moderators of treatment response to \"Be a Mom\", an internet-based cognitive behavioral therapy (iCBT) intervention, from baseline to postintervention, in women at high risk for postpartum depression (PPD). The study also assessed the stability of women\'s treatment gains from baseline to 4-months postintervention (follow-up). This open-label randomized controlled trial (RCT) involved a sample of 1,053 postpartum Portuguese women identified as being at high risk for PPD (i.e., having a score of 5.5 or higher on the Postpartum Depression Predictors Inventory-Revised); participants were allocated to \"Be a Mom\" intervention group or a waiting-list control group, and completed self-report measures at baseline, postintervention, and a 4-month follow-up (554 women completed follow-up assessments). Depressive and anxiety symptoms were measured using the Edinburgh Postnatal Depression Scale and the anxiety subscale of the Hospital Anxiety and Depression Scale, and flourishing/positive mental health was assessed with the Mental Health Continuum. Regression models and linear mixed models were used to examine moderators of treatment and the mid-term efficacy of the \"Be a Mom\" intervention, respectively. The results revealed that treatment completion, higher depression scores at baseline, and higher income levels were linked to greater symptom reduction and positive mental health enhancement. Moreover, the efficacy of the \"Be a Mom\" intervention was supported at the 4-month follow-up. The \"Be a Mom\" intervention appears to be an effective iCBT tool for reducing psychological distress and enhancing positive mental health in women at risk for PPD, with therapeutic improvements maintained over a 4-month period.

Acute mental health treatment (e.g., partial hospitalization or PHP) is a critical component of the mental health services landscape for youth whose symptoms are too acute for a typical outpatient setting, but for whom inpatient psychiatric hospitalization is not recommended or desired. Very few interventions have been developed, adapted for, or evaluated in these fundamentally different delivery contexts. Transdiagnostic treatments may be ideal for addressing the comorbidity, complexity, and heterogeneity typical of acute mental health settings. Our aim was to examine initial acceptability and effectiveness of an adaptation of the Unified Protocols for Transdiagnostic Treatment of Emotional Disorders in Children and Adolescents (UP-C/A; Ehrenreich-May, Kennedy, et al., 2017), delivered as part of comprehensive therapeutic programming in a general psychiatric PHP. We recruited 152 youths (M age = 13.1 years, 62.5% female) and caregivers, who participated in an average of 11 days of intensive UP-C/A intervention. Participants rated symptoms and functioning at baseline, weekly, posttreatment, and 1-month follow-up. Latent growth curve modeling was used to examine patterns of change and evaluate the impact of potential demographic and treatment-related covariates. For all outcomes, a quadratic model best fit the data, with symptoms and emotional reactivity decreasing significantly during treatment and then leveling off during follow-up. There was a medium-sized change in functional impairment from baseline to the 1-month follow-up, and ≥90% of participants reported treatment as acceptable and helpful. Results provide initial support for use of a transdiagnostic, cognitive-behavioral intervention in acute mental health settings and suggest important future directions, including controlled trials and investigation of implementation supports.