10 Hz repetitive transcranial magnetic stimulation for nitrous oxide dependence: a case report

Nitrous oxide (N2O) abuse has emerged as an increasingly serious public health concern, yet effective interventions for N2O dependence remain lacking. We report on a 21-year-old woman with N2O dependence who, after 6 months of repeated N2O inhalation, developed gait instability, limb numbness and tremors, accompanied by delusions and auditory hallucinations. During her first hospitalization, she was treated with antipsychotics and vitamin B12; however, she relapsed to N2O use shortly after discharge and was readmitted. Upon her second admission, she received 10 sessions of 10 Hz repetitive transcranial magnetic stimulation (rTMS) over the left dorsolateral prefrontal cortex. Her craving for N2O began to decline after the third session and continued to improve after the sixth, with dependence largely resolved by the end of the treatment course. No adverse events, such as headache or tinnitus, and no significant withdrawal symptoms were observed during treatment. The patient was followed up 3 times after discharge and had maintained abstinence from N2O for 3 months (12 weeks) since her last use, remaining emotionally stable and resuming normal daily life and work. To our knowledge, this is the first reported case of high-frequency rTMS for N2O dependence. Our findings suggest that rTMS may reduce craving in the short term in these patients, offering a promising therapeutic approach to this escalating public health problem.

AI-assisted Home-based Intervention for ADHD Children

Conditions: ADHD – Attention Deficit Disorder With Hyperactivity; ADHD – Combined Type; ADHD – Inattentive Type

Interventions: Device: Generative artificial intelligence assisted diary platform home-based intervention; Behavioral: Consultations and psychoeducation on child emotional management

Sponsors: National Taiwan University Hospital

Recruiting

Preventive and Personalized Digital Emotion Regulation Skills Intervention to Reduce Depression and Anxiety in Youths With Adverse Childhood Experiences

Conditions: Adverse Childhood Experience; Depression / Major Depressive Disorder; Anxiety Depression; Anxiety

Interventions: Behavioral: Lifestyle psychoeducation intervention; Behavioral: Personalized digital psychoeducation intervention on emotion regulation

Sponsors: Institute of Mental Health, Singapore

Not yet recruiting

Modeling of Therapist-Client Dynamics in Psychotherapy Using Large Language Model–Based Assessments: Retrospective Observational Study of 1573 Psychotherapy Sessions

<strong>Background:</strong> Psychotherapy is a primary treatment for many mental health conditions, yet the dynamic interplay among therapist behaviors, client responses, and the therapeutic relationship remains difficult to disentangle at scale. Traditional process research relies on labor-intensive human coding, limiting the ability to model moment-to-moment therapeutic dynamics across large datasets. <strong>Objective:</strong> This study aimed to develop and validate a computational framework for modeling therapist-client interaction processes and to examine how therapist behaviors and relational qualities relate to client self-disclosure and emotional expression in psychotherapy sessions. <strong>Methods:</strong> We developed automated assessment pipelines using large language models (LLMs) to measure therapist behaviors (empathy or exploration), relational quality (rapport), and client outcomes (self-disclosure, self-directed negative emotion, or outward-directed negative emotion). Model-generated scores were validated against human annotations. We then applied these measures to approximately 2000 hours of psychotherapy transcripts from the Alexander Street corpus. This yielded an estimation sample of 119,233 client utterances from 1573 sessions and 37 clients. Because utterances are nested within sessions and sessions within clients, we estimated a saturated multivariate structural equation model with SEs clustered at the session level. Results were confirmed in a multilevel regression model with random intercepts for session and client. <strong>Results:</strong> Following comparative validation of 6 candidate language models, automated measures showed good to excellent agreement with human annotations (intraclass correlation coefficient [ICC]=0.60-0.81) for rapport (ICC=0.81), self-disclosure (ICC=0.78), empathy components (ICC=0.60-0.75), and emotion measurements (ICC=0.66-0.80). Structural equation modeling analyses revealed that therapist empathy and exploration were each associated with increased client disclosure (empathy: β=.086, 95% CI 0.078-0.095; exploration: β=.086, 95% CI 0.078-0.094; both <i>P</i>&lt;.001) and increased expression of self-directed negative emotions, comprising sadness, anxiety, fear, and depression (empathy: β=.118, 95% CI 0.110-0.127; exploration: β=.078, 95% CI 0.070-0.087; both <i>P</i>&lt;.001). Both behaviors were also associated with reduced expressions of enjoyment (empathy: β=–.037; exploration: β=–.041; both <i>P</i>&lt;.001). Surprisingly, rapport in the prior session showed no association with client self-disclosure or negative emotion expression. <strong>Conclusions:</strong> This study demonstrates that LLM-based measurement combined with structural modeling can capture core therapeutic processes at scale. Empathy and exploration showed small but consistent turn-level associations with client disclosure and emotional expression, whereas prior-session rapport did not show a robust association. These findings provide a computational foundation for precision modeling of psychotherapy processes and may offer actionable insights for scalable therapist training and AI-supported clinical education systems.

An Unfortunate Loop: How the OCD Care Crisis Delays Research

By Boris Litvin, MA

In December 2025, the IOCDF released its first white paper America’s OCD Care Crisis: National Findings on the Failure of Effective OCD Treatment to Reach Patients. Based on healthcare data from over 10 million Americans, we showed that only 0.69% from this group were either diagnosed with or were very likely to have OCD. Compared to the lifetime prevalence rate of 2.3% in the U.S. population (Ruscio et al., 2010), our findings show that OCD is underdiagnosed by health professionals in the US. Within this group of OCD patients, more than 80% of them do not receive the recommended, evidence-based psychotherapy for OCD — cognitive behavioral therapy (CBT) and exposure and response prevention (ERP).

Unfortunately, a similar trend is shown with pediatric OCD. Losing Childhood to America’s OCD Care Crisis: The State of Pediatric OCD Care in the United States, our recent follow-up paper that focuses solely on children and adolescents with OCD from the same dataset, showed that only 0.74% were diagnosed or detected by clinicians to have OCD; more than 64% of those diagnosed/detected were never referred to any kind of CBT, including ERP.

These results show a real crisis that affects not only people with OCD, but their families and communities. Millions of Americans continue to suffer needlessly from their OCD not being caught by healthcare professionals; even if it is, it is shocking that evidence-based treatment is not being recommended or offered by professionals, despite ample research and clinical evidence that supports its use.

Our recommendations from both papers include: (1) increasing routine screening for better and faster detection of OCD in healthcare settings; (2) improving clinical training; (3) promoting adherence to existing professional standards for OCD treatment; and (4) raising accurate awareness about OCD. We hope these white papers support our overall IOCDF mission: to ensure that everyone impacted by OCD and related disorders has immediate access to effective treatment, support, and opportunities for diagnosis. The fact that countless OCD patients, and their families and loved ones, suffer immensely every day from these lacks is tragic.

However, our findings and recommendations should also bring attention to, and benefit, another group: the researchers and their findings.

Why Is Research Important?

Simply put, we know that CBT and ERP, as well as selective serotonin reuptake inhibitor (SSRI) medications, are the evidence-based, first-line treatments for OCD — through research. We are discovering how to make these treatments better, and which other therapies can be promising to help people with OCD recover or even achieve remission — through research. Finally, we know what OCD is, and isn’t — through research. The work of dedicated teams of professors, students, and statisticians since the 1980s led us to understand how OCD operates, and to give patients and their families the skills and knowledge of how to fight it. We have come far since the days when OCD was considered a neurosis or a character flaw, and evidence-based treatments were not available. (At the same time, we still have much work to do.)

For a therapy to be considered scientifically effective, it must undergo trials that carefully examine it and compare it to a different therapy or a “control” group (the absence of a therapy). This work takes diligent planning, resources, and effort on the part of both researchers and participants. It is common for studies to be conducted over the course of several years, and for results to be reviewed for months before they are published in reputable scientific journals. Once they are published, they serve as records for clinicians and healthcare professionals on whether a therapy can help or harm someone with OCD. They also serve to inform other scientists of the work that has been done, and to inspire future necessary research.

To ensure that their studies can accurately represent the OCD experience and test out a theory or therapy with precision, most researchers recruit patients who have been, first and foremost, diagnosed with OCD in the past. The participants in a study need to be representative, after all.

This is where we run into a problem.

How Does OCD Research Work?

Here’s a quick rundown.

A study sample should reasonably represent a population. Scientists recruit participants who have been truly diagnosed with a condition to participate in their studies, so that results can reasonably show that a treatment works (or does not) for, or that there are (or are not) certain characteristics present, in people who have been diagnosed. There are some studies that may recruit people who believe that they may have a condition, and some that take samples from the public and extrapolate about a condition, but these are generally not used for determining serious qualities such as whether treatments work.

When it comes to OCD, to test how to make existing therapies like CBT and ERP become more accessible, participants have to be diagnosed with OCD to be eligible to receive this in the first place. This is the same when it comes to medication trials; medications cannot legally be prescribed and properly dosed without a diagnosis. And what about people with “treatment-resistant OCD”, for whom evidence-based therapies have not worked effectively? They can be eligible to receive stronger forms of therapy, such as neuromodulation (like transcranial magnetic stimulation (TMS) or deep brain stimulation (DBS). But first, they need to have demonstrated that psychotherapies and medications have not worked for them. And to access those in the first place, they need to have been diagnosed. Thankfully, there are many research studies that look at how to improve the lives of people with treatment-resistant OCD by reducing their symptoms. However, they definitely must recruit people who qualify as treatment-resistant, and who ultimately have begun their treatment journey by receiving a diagnosis.

OCD studies, especially those that look at treatment, have less participants compared to other mental health disorders which are diagnosed more by healthcare professionals. Unfortunately, it is far too common for OCD studies to run for longer than planned, simply because there aren’t enough participants diagnosed with OCD that can be recruited in time. Every study has its own unique criteria given what it is testing — a psychotherapy, a medication, or a mood tracker — but the common factor is that a participant has to be diagnosed with OCD in the first place.

An Unfortunate Loop

Our white papers showed that the vast number of people who have OCD in the US, whether they are children, adolescents, or adults, appear to not be diagnosed with it in healthcare settings. We propose (based on existing research) that it stems from a variety of reasons, such as lack of knowledge by and training for healthcare professionals, stigma about discussing OCD (whether because of the discomfort surrounding symptoms, cultural and gender differences in terms of seeking and receiving mental health care, or other reasons), lack of awareness by families and loved ones, and a host of other reasons.

However, if researchers need people who have been diagnosed with OCD to take part in their studies to move OCD science and treatments forward, we’re stuck in an unfortunate loop. This is holding back teams of treatment researchers from testing how to strengthen existing therapies, and knowing whether new and potentially more effective therapies work. It’s holding back geneticists from understanding how genes and environmental factors shape the development of OCD. It interferes with neuroscientific work into finding the brain regions that play a role in OCD, and how they can be best targeted to reduce symptoms. Finally, this loop interferes with the scientists whose aim is to better understand what OCD looks like in the first place: the stigma and misunderstanding preventing people from seeking a diagnosis and receiving treatment, the socioeconomic dimensions of the disorder, and other similar factors. The less people are properly diagnosed, the less they can opt to participate in studies, and what we know as evidence-based is slower to become apparent — or cannot be realized at all.

Existing evidence-based treatments work, but they unfortunately can’t work for everyone. Yet the pace of understanding what can work, whether through a new discovery or an update of something tried and true, is slower than it should be. If healthcare professionals can’t spot OCD — and can’t refer them to trusted treatments based on formal guidelines even if it is spotted — patients (1) can’t have the knowledge to consider next steps; (2) can’t access therapies that can improve their lives; and (3) can’t contribute to ongoing research.

What Can We Do?

First, I hope that reading this post brought light to the issue that researchers face from the OCD care crisis, and the consequences that stem from it. Gaining awareness and spreading the word to others is the first step, and we hope that the white papers can make a difference.

You can access our first white paper, America’s OCD Care Crisis, here, and our second, Losing Childhood to America’s OCD Care Crisis, here.

The IOCDF has created many resources for anyone who is interested, and we hope that they can inform, help, and empower all who come across them.

For researchers, I hope this inspires a conversation and increased advocacy. More accurate diagnoses and treatment recommendations can break the loop over time and lead to better opportunities for research.

If you’d like to promote your research study, please consider visiting our “Research Participants Sought” page on our website and submitting an advertisement.

Please stay tuned for our 2027 Research Grant Awards announcement, and consider applying for the 2027 Research Symposium and Poster Sessions at the 32nd Annual OCD Conference.

For non-researchers, you can find studies to participate in through our “Research Participants Sought” page. Researchers from labs in the US and Canada promote their studies there, and many don’t require an in-person visit.

For clinicians and healthcare professionals, please visit the IOCDF’s OCD Treatment Guide, where you can find up-to-date information about evidence-based therapies, medications, and interventions for OCD.

Finally, if you’d like to donate to our Research Grant Program, please click here. The IOCDF is proud to have funded outstanding research about OCD and related disorders across three decades, and it is only possible thanks to the generosity of donors like you.

 

Reference:

Ruscio, A. M., Stein, D. J., Chiu, W. T., & Kessler, R. C. (2010). The epidemiology of obsessive-compulsive disorder in the National Comorbidity Survey Replication. Molecular psychiatry, 15(1), 53–63. https://doi.org/10.1038/mp.2008.94

 

About the Author:

Boris Litvin, MA, is the IOCDF’s Research Communications Specialist. He is a co-author of America’s OCD Care Crisis: National Findings on the Failure of Effective OCD Treatment to Reach Patients and Losing Childhood to America’s OCD Care Crisis: The State of Pediatric OCD Care in the United States.

The post An Unfortunate Loop: How the OCD Care Crisis Delays Research appeared first on International OCD Foundation.

Adolescent depression in Chinese schools and families: a case study of 20 adolescents

This study examines adolescent depression within Chinese families and educational environments through an action research approach, engaging researchers and practitioners in continuous cycles of observation, intervention, and reflection. Within this iterative process, direct counselling sessions and family therapy were deployed as active intervention mechanisms alongside the qualitative analysis of 20 depressed individuals aged 13 to 22. The findings indicate that adolescent depression emerges from a complex interplay of academic pressures and socio-environmental stressors. Family dysfunction—particularly parental separation and emotionally volatile parenting—frequently serves as a primary root cause, compounded by severe academic competition and peer rejection. Notably, female and middle school participants exhibited heightened vulnerability, with nearly half of the cohort utilizing non-suicidal self-injury (NSSI) to cope with emotional distress. To bridge existing care gaps, the study proposes a collaborative, ecosystemic intervention model integrating families, schools, medical systems, and peer networks. Furthermore, policymakers are encouraged to establish national mental health registries, mandate standardized school-based screenings, and provide targeted subsidies to support long-term adolescent recovery and resilience.

The nonlinear relationship between symptoms of internet addiction and depressive symptoms: an empirical study among Chinese university students

ObjectTo examine the nonlinear dose-response association between IA and depressive symptoms, while also exploring potential variations in this association across demographic subgroups.MethodsA cross-sectional study was administered to Chinese university students. Internet addiction (IA) was assessed using an 8-item standardized diagnostic instrument. Depressive symptoms were evaluated utilizing the Center for Epidemiologic Studies Depression Scale (CES-D). Restricted cubic spline (RCS) regression was employed to detect nonlinear relationships and identify inflection points. Multivariable logistic regression and Cochran-Mantel-Haenszel stratified analyses, controlling for potential confounders, were conducted to assess symptom-specific correlates and examine subgroup differences.ResultsA nonlinear association was observed between IA scores and depressive symptoms (p < 0.005), characterized by inflection points at scores of 4 and 7. Higher odds of depressive symptoms were seen at scores exceeding 4, demonstrating a pronounced increase beyond 7, and lower odds below 4. Analysis of specific IA symptoms revealed: Preoccupation was significantly correlated with higher odds of depressive symptoms (OR = 2.60, p<0.05); deception was associated with elevated odds of depressive symptoms (OR = 1.51, p < 0.05); whereas needing more time online exhibited an association with lower odds of depressive symptoms (OR = 0.63, p < 0.05). Each unit increase in IA score was associated with 31% higher overall odds of depressive symptoms (OR = 1.31, p < 0.05). This association persisted following covariate adjustment, demonstrating a robust and independent correlational association. The positive association remained consistent across nearly all demographic and socioeconomic subgroups examined. Boarding school attendance was linked to a stronger IA-depressive-symptom association (p < 0.001). Furthermore, only children exhibited stronger correlational estimates between IA scores and depressive symptoms compared to non-only children (OR = 1.24, p = 0.030).ConclusionThe study indicates a positive correlational link between IA Score and depressive symptoms. RCS regression shows a curved relationship, with turning points at scores 4 and 7. Higher IA Scores correlate with elevated odds of depressive symptoms, making it a potential screening indicator for depressive-symptom risk (correlational only) for college students. Elevated odds are also present with an IA Score below 4. Excessive online activity correlates with higher odds, while prolonged internet use for gratification shows an association with lower odds of depressive symptoms.

Understanding the role of dysfunctional hippocampal-parahippocampal representations of space in schizophrenia

The etiology of schizophrenia is yet to be fully understood, thus limiting the scope of interventions for symptom reduction. Among features less frequently researched and addressed are deficits in spatial cognition, which may contribute to cognitive disorganization, a core symptom of schizophrenia. The purpose of this review is to summarize the known deficits in spatial memory and neural circuits associated with this neuropsychiatric disorder, synthesize key findings, and make recommendations regarding further areas of research needed in the literature. Our review identified several key areas in the brain’s spatial navigation system. First, abnormal hippocampal neuronal responsivity is well-documented in patients with schizophrenia and is associated with impairments in the use of map-based strategies during navigation. Second, alterations in the synchronized firing of neurons in theta frequencies as well as the coupling of theta oscillations across cortical circuits are shown to associate with spatial problem solving. Third, recent research reports that neural representations of space, specifically relating to grid cell function, are abnormal in patients with schizophrenia and are related to deficits in navigation. We suggest that an understanding of the neural bases of behavioral and cognitive symptomology, such as cognitive disorganization, in schizophrenia will benefit from future work advancing integrated theoretical frameworks that include mechanisms of altered hippocampal-parahippocampal neuronal responses including grid cell dysfunction and altered neural oscillation patterns involved in spatial cognition.

“Like a never-ending performance of myself”: trans autistic experiences of identity, camouflaging and the complex closet

IntroductionBoth camouflaging and closeting one self conceal identity traits that are deemed undesirable or reprehensible by society at large. They serve as a mean of survival in a world that discriminates against autistic and trans people, but frequently lead to exhaustion and disconnect. This study aims to better understand how autistic trans/gender-diverse individuals experience both camouflaging of their autistic traits and closeting of their trans identity, as well as the effects this has on their mental health and sense of self.MethodsWe analyzed the lived experience of 20 autistic trans/gender-diverse (TGD) individuals aged 15 to 48. Two questionnaires were administered through an online form: (i) A Spanish adaptation of the Gender-Diversity and Autism Questionnaire (Strang et al., 2023) and (ii) a qualitative questionnaire about gender identity and life experiences. Data analysis was conducted using Reflexive Thematic Analysis (Braun & Clarke, 2006; 2023).ResultsFollowing the qualitative analysis of the material, three major themes were constructed: Theme 1, “Trans autistic minds under pressure: ‘I was being denied my right to just be’”; Theme 2, “‘Acting like someone I don’t know how to be’: Camouflaging and closeting behaviors at the intersection”, and Theme 3, “Long-term effects: ‘Disconnected from myself and shunned from the world’”.DiscussionParticipants reported high levels of stress and trauma-related symptoms. They often felt like suppressing themselves was their only choice, even if it came at the expense of their own well-being. In order to alleviate their suffering, a more neuro- and trans-affirming society is needed.