Tag: Academic research

Posted on

The Child Mind Institute Names Dr. Vera Feuer as Chief Clinical Officer

Feuer brings more than two decades of clinical leadership to inaugural role 

New York, NY – The Child Mind Institute, an independent nonprofit dedicated to transforming the lives of children affected by mental health disorders, today announced Vera Feuer, MD, as the organization’s first-ever Chief Clinical Officer. A seasoned specialist in pediatric and adolescent mental health, Dr. Feuer will oversee clinical strategy, including patient care in the New York City and San Francisco Bay Area offices, and help drive innovation across treatment and research. 

Dr. Feuer most recently served as Vice President of Child and Adolescent Psychiatry at Northwell Health and is a professor of psychiatry, pediatrics, and emergency medicine at the Zucker School of Medicine at Hofstra/Northwell Health. A board-certified psychiatrist, she brings more than 20 years of clinical expertise and leadership in pediatric and adolescent mental health and crisis care to the Child Mind Institute. She has helped pioneer innovative standards of care in pediatric crisis behavioral health care and suicide prevention, and she has led the development of programs for the pediatric medical community and school district partnerships to expand mental health care access for students.  

“I am thrilled to join the Child Mind Institute and beyond excited to bring my extensive experience of working with youth and families, creating access to care and innovative program development, and to work with this remarkable team,” Dr. Feuer says. “Together we will deepen access to high-quality, evidence-based care and develop programs that meet the needs of kids where they are.” 

Dr. Feuer will provide strategic oversight to a multidisciplinary team of more than 70 clinicians who deliver over 70,000 patient appointments annually, ensuring continued excellence in delivering care, developing school-based programs, and establishing community partnerships while expanding access to high-quality mental health services. As a member of the Child Mind Institute’s executive leadership, Dr. Feuer will be instrumental in shaping the organization’s clinical vision, providing medical expertise to improve outcomes for children and families and guiding the integration of research through data-driven approaches that advance care and innovation. 

“At a time when youth mental health needs are more urgent than ever, Dr. Feuer’s exceptional leadership brings crucial guidance to meet this moment,” says Harold S. Koplewicz, MD, founding president and medical director of the Child Mind Institute. “Our mission has always been to transform how families access and experience mental health care. With Dr. Feuer at the helm as our Chief Clinical Officer, we remain steadfast in our commitment to strengthening our clinical foundation, shaping the future of mental health and helping families nationwide.” 

To learn more, visit childmind.org, and read Dr. Feuer’s full biography. 

About the Child Mind Institute 

The Child Mind Institute is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We’ve become the leading independent nonprofit in children’s mental health by providing gold-standard, evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow’s breakthrough treatments. 

Visit Child Mind Institute on social media: Instagram, Facebook, X, LinkedIn 

For press questions, contact our press team at childmindinstitute@ssmandl.com or our media officer at mediaoffice@childmind.org. 

The post The Child Mind Institute Names Dr. Vera Feuer as Chief Clinical Officer appeared first on Child Mind Institute.

Posted on

Excessive Internet use and depressive symptom levels in adolescents with depressive disorders: chain mediation of social anxiety and sleep quality

BackgroundAdolescents with depressive disorders are at elevated risk for adverse mental health outcomes, and excessive Internet use has been increasingly linked to greater symptom severity. Therefore, this study aimed to examine the chain mediating roles of social anxiety and sleep quality in the association between excessive Internet use and depressive symptoms among adolescents with depressive disorders.MethodsA cross-sectional design was used. A total of 266 Chinese adolescents with clinically diagnosed depressive disorders (M = 15.79 years, SD = 1.85; 71.4% female) were assessed using the Internet Addiction Test, Zung Self-Rating Depression Scale, Social Anxiety Scale for Children, and Pittsburgh Sleep Quality Index. Correlation analyses and bootstrapping methods were conducted using SPSS and the PROCESS macro to examine the chain mediating effects of social anxiety and sleep quality.ResultsThe total indirect effect of excessive Internet use on depressive symptoms accounted for 65.66% of the total effect. Specifically, the indirect effects via social anxiety and sleep quality accounted for 24.10% and 26.51% of the total effect, respectively. In addition, the chain mediating effect of social anxiety and sleep quality was significant, accounting for 14.76% of the total effect.ConclusionExcessive Internet use was positively associated with more severe depressive symptoms among adolescents with depressive disorders, both directly and indirectly through the chain mediating effects of social anxiety and sleep quality. These findings highlight potential targets for preventing and intervening in excessive Internet use among this population.
Posted on

When the market asks no price: AI chatbot interaction as psychic market disruption

The rapid adoption of AI chatbots for emotional support and quasi-therapeutic interaction raises questions that existing clinical and regulatory frameworks are not equipped to address. This Perspective applies the psychic arbitrage framework—which reconceptualizes defense mechanisms as energy-conversion operations on internal psychic markets—to analyze the specific transactional distortions produced by chatbot interaction. The framework identifies four dysfunctions: liquidity illusion (apparent emotional processing without genuine containment), market-making blockage (narcissistic reflection replacing transformative engagement), closure of arbitrage circuits (path-dependent externalization displacing autonomous elaboration), and repertoire degradation (progressive intolerance of costly but productive transactions). The article proposes that chatbots trained via Reinforcement Learning from Human Feedback (RLHF) produce a functional analogue of the Dark Triad profile—narcissistic mirroring, Machiavellian retention, and psychopathic detachment—as systematic architectural output regularities, not personality attribution. Preliminary converging evidence from mechanistic interpretability, formal reward-learning analysis, clinical reports, and user behavior studies is broadly consistent with these predictions but does not yet demonstrate direct long-term causal effects. The framework offers clinicians a transactional vocabulary for assessing AI-related risk and generates falsifiable predictions for future research.
Posted on

Adverse childhood experiences and non-suicidal self-injury in adolescents: the roles of depressive symptoms and teacher care

BackgroundNon-suicidal self-injury (NSSI) has become an increasingly prominent mental health problem during adolescence and often co-occurs with depressive symptoms, anxiety, personality-related difficulties, and experiences of childhood trauma, forming a complex psychosocial risk structure. From a risk and protective factor perspective, the present study examined the associations among adverse childhood experiences (ACEs), depressive symptoms, perceived teacher care, and NSSI among Chinese adolescents.MethodsThe participants were 2,221 junior high school students from three schools in China. Data were collected using the Childhood Trauma Questionnaire, the Adolescent Non-Suicidal Self-Injury Questionnaire, a depression scale, and a teacher care scale.ResultsAdverse childhood experiences and depressive symptoms were significantly positively associated with NSSI, whereas perceived teacher care was significantly negatively associated with NSSI. Higher levels of ACE exposure and more severe depressive symptoms were associated with higher levels of NSSI, while higher levels of teacher care were associated with lower levels of NSSI. Moreover, among adolescents reporting higher levels of perceived teacher care, the positive associations between ACEs and NSSI and between depressive symptoms and NSSI were attenuated, suggesting that teacher care, as an external support resource in the school context, may play an important protective role.ConclusionsAdverse childhood experiences and depressive symptoms are important risk factors for adolescent NSSI, whereas teacher care plays a significant protective role in the school context. School-based prevention and intervention efforts should prioritize adolescents with high levels of ACE exposure and pronounced depressive symptoms, while strengthening teacher care to enhance protective resources. Future research should further explore how specific dimensions and timing of ACEs, trajectories of depressive symptoms, and multiple sources of social support jointly influence the development and maintenance of NSSI in adolescents.
Posted on

Applicable Scenarios, Desired Features, and Risks of AI Psychotherapists in Depression Treatment From the Patient’s Perspective: Exploratory Qualitative Study

Background: Depression is a pervasive global mental health issue, yet access to trained professionals remains severely limited. With the rapid advancement of artificial intelligence (AI), digital tools are increasingly seen as a viable way to address this shortage. However, questions remain about how digital platforms for mental health care can be effectively designed. Objective: This study aimed to investigate, from an end user’s (patient’s) perspective, the potential use scenarios, desired features, and perceived risks of AI psychotherapists in depression treatment, providing design guidelines for their development. Methods: A grounded theory approach was applied to analyze qualitative responses from 452 individuals recruited via Amazon Mechanical Turk. Data were collected through a scenario-based online survey on AI-assisted depression treatment administered between March 2023 and May 2023. Participants responded to 3 open-ended questions regarding the potential use of AI in treating depression, the characteristics expected from an AI psychotherapist, and the associated perceived risks, along with demographic, control, and contextual measures. The open-ended responses were inductively coded into themes, with intercoder reliability established (Cohen κ=0.80). In addition, variations in themes were further examined across participant profiles, including social stigma, current depression severity, trust in an AI psychotherapist, and privacy awareness. Results: Participants envisioned AI psychotherapists across 5 primary scenarios: diagnosis, treatment, consultation, self-management, and companionship. Key desired features include professionalism, warmth, precision care, empathy, remote services, active listener, personalization, flexible treatment options, patience, trustworthiness, and basic treatment alternative, while critical concerns include diagnostic inaccuracy, treatment errors, privacy breach, lack of human interaction, technical malfunctions, and lack of emotional engagement. Based on these findings, a general MoSCoW (must have, should have, could have, and won’t have) prioritization framework was proposed to serve as a conceptual starting point for future AI system design and empirical validation in mental health care. Notably, feature prioritization varied across user profiles: individuals with higher stigma placed greater emphasis on privacy protection, those with more severe depression prioritized precision care and timely access, low-trust users de-emphasized remote services, and privacy-sensitive individuals showed reduced preference for features requiring extensive data disclosure. These patterns highlight the need for context-sensitive design. Conclusions: This study provides a patient-centered framework for designing AI psychotherapists and complements the existing literature by highlighting the importance of balancing clinical effectiveness with relational considerations. The findings offer actionable guidelines for designing AI mental health care tools that are aligned with user expectations and sensitive to individual differences.
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/f0fc77a313314d9cc27d237b4dc786f1" />

Posted on

OTX-202 Smartphone App to Reduce Suicidal Ideation Among High-Risk Transition-Age Youth: Open-Label, Single-Arm, Phase 1 Clinical Trial

<strong>Background:</strong> The transition from adolescence to adulthood (18 to 25 years) is associated with an increased risk of suicidal ideation and behaviors. Suicide-focused cognitive behavioral therapies (CBTs) have been shown to significantly reduce suicidal ideation and behaviors but are not widely available to high-risk individuals. Digital therapeutics could improve access to these treatments. <strong>Objective:</strong> This study aimed to evaluate the acceptability, safety, and potential efficacy of OTX-202 among transition-age youth (18 to 25 years) receiving mental health care outside an inpatient hospital setting. <strong>Methods:</strong> In this phase 1 single-arm clinical trial, 59 transition-age youth with recent suicidal ideation or suicide attempts used OTX-202, a smartphone app designed to deliver suicide-focused CBT, concurrently with usual outpatient mental health care. After baseline, eligible patients completed 12 weekly assessments of suicidal ideation, depression, and anxiety. <strong>Results:</strong> From baseline to week 12, participants reported statistically significant, large reductions in suicidal ideation (mean difference –5.1, 95% CI –6.5 to –3.7; <i>d</i>=0.95). In total, 3 (5.1%; 95% CI 0%-11.2%) participants reported suicide attempts. Reductions in suicidal ideation and suicide attempt rates were consistent with results from previously published randomized clinical trials of suicide-focused CBTs. Participants rated OTX-202 in the 97th percentile of usability and completed a mean of 9.0 (SD 3.5) of 12 app modules, supporting the app’s acceptability. There were no patient deaths, device-related events, or severe adverse events, supporting the app’s safety. <strong>Conclusions:</strong> Results support the safety, acceptability, and potential efficacy of OTX-202 for reducing suicide risk among transition-age youth. <strong>Trial Registration:</strong> ClinicalTrials.gov NCT06008132; https://clinicaltrials.gov/study/NCT06008132
Posted on

Meta-analysis of the effects of exercise intervention on physical health in individuals undergoing compulsory isolation

BackgroundPhysical health is the basic indicator to evaluate the health of drug addicts after the process of drug rehabilitation. In order to better improve the deficiency degree of physical health of drug addicts, it is necessary to carry out a systematic review.ObjectiveTo explore the effects of exercise intervention on the physical health of individuals undergoing compulsory drug rehabilitation using Meta-Analysis, aiming to provide evidence-based support for improving their physical health.MethodsRandomized controlled trials (RCTs) published between 2019 and December 2024, examining the impact of exercise intervention on the physical health of compulsory detoxification individuals, were retrieved from databases including Web of Science, PubMed, Cochrane Library, Medline, China National Knowledge Infrastructure (CNKI), Wanfang Data, and VIP Chinese Journal Database. The quality of included studies was assessed using the Cochrane risk-of-bias assessment tool. RevMan 5.4 software was employed for heterogeneity testing, effect size synthesis (using mean difference [MD] and 95% confidence interval [CI]), and generation of forest plots, funnel plots, and quality assessment diagrams. Subgroup analyses were performed to evaluate sensitivity and heterogeneity of the included studies.ResultsExercise intervention effectively improved the physical health of compulsory drug rehabilitation individuals, particularly in physical fitness indicators: sit-and-reach test [MD = 3.92, 95%CI = (3.23, 4.62), P<0.001], single-leg standing with eyes closed [MD = 7.03, 95%CI = (6.05, 8.02), P<0.001], grip strength [MD = 1.23, 95%CI=(0.06, 2.39), P = 0.04], and choice reaction time [MD=-0.03, 95%CI=(-0.05, -0.01), P = 0.002]. Improvements in physical function were also observed; however, the increase in vital capacity [MD = 86.81, 95%CI=(-1.56, 175.17), P = 0.05] did not reach statistical significance.ConclusionThis meta-analysis provides evidence that exercise intervention significantly improves specific physical health deficits—namely flexibility (sit-and-reach), balance (single-leg stance), muscular strength (grip strength), cardiopulmonary function (vital capacity), and sensorimotor coordination (choice reaction time)—in individuals undergoing compulsory rehabilitation. It is recommended to adopt a combination of aerobic and traditional fitness exercises, with at least 3 sessions per week, each lasting no less than 40 minutes, and a duration of over 12 weeks, providing scientific evidence for drug rehabilitation practices. These indicators were selected because they directly reflect the multisystem damage (muscular, neural, and cardiorespiratory) caused by chronic substance use. However, this study acknowledges the limitation that psychological and neurocognitive outcomes (e.g., cravings, mood, executive function), which are crucial in addiction treatment, were not included in the eligibility criteria and systematic analysis. The follow-up research will combine physical and psychological indicators to conduct a comprehensive evaluation of the intervention effect of exercise on drug rehabilitation.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD420251029820.
Posted on

Tryptophan modulates the impact of prolactin on insomnia in perimenopausal women: a cross-sectional study

BackgroundInsomnia is highly prevalent among perimenopausal women and exerts detrimental effects on physical health, psychological well-being, and overall quality of life. However, its underlying mechanisms remain incompletely understood. This cross-sectional study aimed to identify factors associated with insomnia in perimenopausal women.MethodsA total of 187 perimenopausal women aged 45–55 years were enrolled. Insomnia, anxiety, and depression severity were assessed using the Insomnia Severity Index (ISI), Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9), respectively. Serum levels of relevant amino acids and hormones were measured. Spearman correlation and linear regression analyses were performed to examine the associations among prolactin levels, tryptophan levels, insomnia, anxiety, and depression. Moderation analysis was further conducted to evaluate the potential moderating role of tryptophan in these relationships.ResultsSerum prolactin levels were positively associated with scores of ISI, GAD-7, and PHQ-9. Furthermore, prolactin levels were positively correlated with the severity of sleep-onset difficulties, sleep maintenance problems, noticeability of impairment, and sleep-related distress. Of note, serum tryptophan levels significantly moderated the association between prolactin levels and ISI scores (β = 0.227, 95% CI = 0.04–0.41, p = 0.0148). To wit, he positive relationship between prolactin levels and insomnia severity was stronger in perimenopausal women with higher serum tryptophan levels compared with those with lower levels.ConclusionsThe moderating effect of serum tryptophan on the relationship between prolactin levels and insomnia in perimenopausal women helps us understand the neuroendocrine mechanisms underlying perimenopausal insomnia and may inform future research on targeted preventive and therapeutic strategies.
Posted on

Research trends and knowledge mapping of transcranial direct current stimulation in depression: a bibliometric study based on web of science, Scopus, and PubMed (2000-2025)

BackgroundDepressive disorders are clinically heterogeneous and mechanistically complex psychiatric conditions. Transcranial direct current stimulation (tDCS), a key non-invasive neuromodulation technique, has expanded rapidly in both therapeutic application and mechanistic research. However, the field is marked by rapid publication growth, thematic diversity, and variability in evidence quality. A systematic quantitative synthesis is therefore needed to map the research landscape, identify hotspots, and inform future directions.MethodsA systematic search was conducted for English-language publications in the Web of Science Core Collection (WoSCC), Scopus, and PubMed using the terms (“Transcranial direct current stimulation” OR “tDCS”) AND (“depression” OR “major depressive disorder” OR “depressive disorder” OR “MDD”). Only articles and reviews were included. Records from 2026 and non-research publications, including conference abstracts, editorials, letters, news items, and errata, were excluded. Deduplication was performed using DOI-based matching followed by title-assisted matching. Bibliometrix (R), VOSviewer, and CiteSpace were used to analyze publication trends, contributions by countries/regions, institutions, authors, and journals, collaboration networks, keyword co-occurrence, thematic clustering, and burst terms. Citation analysis was based on WoSCC data only.ResultsResearch on tDCS for depression showed sustained growth, with marked acceleration after 2020 and a peak in 2024. The United States, Germany, and Brazil occupied central positions in both productivity and international collaboration, with the United States ranking first in publication volume. Major research hubs included the Universidade de São Paulo, the University of Toronto, and Harvard University, while Brain Stimulation, Journal of Affective Disorders, and Frontiers in Psychiatry were the leading publication venues. Highly cited studies mainly focused on neurophysiological mechanisms, pivotal randomized controlled trials, and evidence-based guidelines. Keyword analyses indicated a shift from early attention to cortical excitability, safety, and short-term efficacy toward a more integrated framework involving prefrontal-targeted stimulation, cognitive function, functional connectivity, treatment outcomes, and cross-disorder applications.ConclusiontDCS research in depression is entering a multidimensional and interdisciplinary phase, with increasing emphasis on network-level mechanisms and precision intervention. Functional connectivity is emerging as a potential biomarker for patient stratification and outcome prediction. Further progress depends on multicenter standardization, reproducible analytic pipelines, and high-quality comparative effectiveness research.
Posted on

Current Landscape of Mental Health Conversational Agents From a Trauma-Informed Care Lens: Scoping Review

Background: Conversational agents (CAs) are increasingly used in mental health care to enhance access and engagement. However, their safe, ethical, and user-sensitive design remains a challenge. Despite growing attention to trauma-informed approaches in human-computer interaction, there is limited work on how the trauma-informed care (TIC) framework could be applied in the design of mental health CAs and no comprehensive synthesis to date. Objective: Guided by the Substance Abuse and Mental Health Services Administration’s TIC framework, this scoping review explored how TIC principles (safety; trustworthiness and transparency; collaboration and mutuality; empowerment, voice, and choice; peer support; and cultural, historical, and gender issues) are currently represented in the design and evaluation of mental health conversational agents (MHCAs) and identified gaps and opportunities to promote more trauma-informed design practices. Methods: Online databases, as well as a secondary survey of citation lists from an initial search, were used to identify English-language journal articles and conference proceedings from 2000 to 2024 that empirically evaluated an independent, web- or app-based, unassisted CA used for mental health and included concepts from TIC. Results: Our analysis included 38 publications (n=28, 73.7%, published in 2020 or later) covering 28 distinct MHCAs. Most studies used experimental methods (n=23, 60.6%) or user studies (n=11, 28.9%), with samples skewed toward female (men: mean 34.92%, SD 18.64%), young in age (mean 32.52, SD 14.6 y), and predominantly nonclinical (n=29, 76.3%). MHCAs were largely rule-based prototypes. No studies explicitly referenced the TIC framework as a guiding lens for MHCA design or evaluation. A total of 26 studies referenced terminology from TIC core principles but rarely defined them, while all 38 included language that could be linked to one or more principles. Overall, TIC-related concepts appeared most often within intervention design descriptions, qualitative assessments, or as items embedded in questionnaires evaluating broader constructs. Trustworthiness and transparency, safety, empowerment, voice and choice, and collaboration and mutuality were comparatively well addressed, while peer support and cultural, historical, and gender issues were largely absent. Design recommendations, where present, were relatively broad and emphasized secure, customizable, reliable, human-like, and context-sensitive MHCAs that offered multimodal interaction, goal setting and tracking, and transparency. Conclusions: Studies did not self-identify as using Substance Abuse and Mental Health Services Administration’s framework for TIC, making it more difficult to identify its elements. The fragmented terms, disciplines, and metrics used make it difficult to draw more systematic conclusions about the current research landscape related to TIC, but our analysis indicates TIC to be a descriptive and potentially unifying framework and provides a starting point for the explicit trauma-informed MHCA research and design.
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/c41181a042ee9ad5f9b3c8394fcddce6" />