Tag: News Approved

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Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational Study

Background: Functional impairments associated with mental health conditions are on the rise. Predicting functional outcomes may improve the targeting of preventive interventions. While prognostic models have primarily focused on psychosis, early recognition services require a transdiagnostic approach. Objective: This study aimed to predict global functioning within a 2-year follow-up using baseline clinical and structural magnetic resonance imaging (MRI) data in a population-based sample of young, help-seeking individuals presenting with affective and anxiety symptoms as well as attention-deficit hyperactivity disorder. Methods: We classified 357 help-seeking individuals aged 18‐35 years recruited from 9 sites as “impaired” (Global Assessment of Functioning [GAF] ≤60; n=228) or “nonimpaired” (GAF>60; n=129) at year 1 and/or year 2 follow-up. GAF classification group status at follow-up was predicted using linear support vector machine (SVM), decision tree, and large language model (LLM) Llama-3 using clinical assessments and/or structural MRI. Leave-one-site-out (SVM) or external sample (LLM) was used for validation. Results: SVM achieved balanced accuracy of 69.2% using clinical features only. Items related to baseline occupational functioning, interpersonal relationships, cognitive functioning, psychotic and affective symptoms, as well as the presence of anxiety disorder, were most predictive. The decision tree further reduced the feature set to 5 predictive items, achieving balanced accuracy of 76.6%. Although amygdala and hippocampal subregions achieved balanced accuracy of 57.1%, structural MRI did not improve the overall prediction. Llama-3 performed comparably well to SVM (balanced accuracy of 72.6%). Conclusions: Machine learning demonstrated good performance in predicting global functioning. Interestingly, the out-of-the-box LLM performed comparably well without being trained or fine-tuned, highlighting the potential of leveraging free-text data for mental health prognosis.
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When OCD Is Loud, Trust Your Higher Power

by Annabella Hagen, LCSW

When I met Marie, she shared how faith and her connection with a Higher Power had always been important in her life. Her parents taught her that faith could be an anchor during hard times.

But Marie also had a genetic predisposition to obsessive compulsive disorder (OCD). When doubts and fears began to take over, she slowly lost confidence that she could ever feel peace again. Without knowing it, the more she tried to reason with the thoughts, fight them, or seek reassurance, the stronger they became.

Her OCD changed themes as she grew up. The voice within whispered different fears at different times:

“You may hurt the kids you’re babysitting.”
“You caused your granny’s pneumonia because you didn’t wash your hands well enough.”
“Am I going blind?”
“Why do these ugly images come into my head in sacred places? I must stop them.”

She tried to “fix” her doubts. But the more she focused on them, the more they grew. They distracted her from what mattered most — including her relationship with her Higher Power. She blamed herself for not feeling close to God. She felt ashamed and spiritually broken.

Many people with OCD blame themselves for their unwanted thoughts. They panic.

“Why would I think this?”
“What does this say about me?”
“Am I a terrible person?”

No matter what Marie did, she could not find certainty. She could not get enough reassurance. She wished she could control her thoughts and feelings. Because she couldn’t, she became very hard on herself. Her self-compassion slowly disappeared.

But here is something important: every human being — whether they have OCD or not — experiences disturbing thoughts, images, or impulses at times. Research going back decades, including studies like Rachman and de Silva (1978), shows that intrusive thoughts are common in the general population.

The difference is not the content of the thoughts. The difference is how often they come, how intense they feel, and how much distress they cause.

When someone without OCD has a strange thought, they may feel uncomfortable and say, “That was weird,” and move on.

But someone with OCD feels a strong need to solve the doubt. They may analyze it, argue with it, pray repeatedly, seek reassurance, or try to push it away. Without realizing it, these efforts make the thoughts louder and more frequent. This is how the OCD cycle grows.

Understanding this can bring hope. It means the problem is not your faith. It is the pattern.

And the good news is that OCD is not only genetic or neurological. It is also behavioral. That means you can learn to respond differently!

Thoughts and feelings are like the weather. They come and go. When we fight them or try to control them, they often stay longer.

You can learn to let them be.

Through Exposure and Response Prevention (ERP), you can practice moving toward what matters most — your faith, your family, your values — even when doubt is present. Instead of trying to silence the thoughts, you can choose not to follow the urge to fix them.

The first step is awareness.

You may already notice the unwanted thoughts. But can you notice how you respond?

Ask yourself gently:

  • Do I try to get rid of emotional pain right away?
  • Do I avoid situations because they trigger anxiety and doubts?
  • When I feel an urge, do I automatically act on it?
  • Can I see that thoughts are just thoughts, not facts?

These small moments of awareness begin to weaken the cycle.

As you practice new responses, you can begin shaping new pathways in your brain. Slowly, you can move closer to the connection with your Higher Power that you have been longing for.

Thoughts come and go. What matters most is what you choose to do.

You can act in faith and trust your Higher Power, even when the OCD voice is loud. That voice feels powerful, but it is not your identity. It does not define your relationship with God.

Change takes time. It takes practice. But it is possible. And it is worth it!

And you can find your way back!

Remember, OCD may try to use your faith as a weapon, your faith is not the problem—the disorder is. OCD is a health condition that seeks certainty where faith invites trust.

If you find yourself in a cycle of “loud” thoughts and repetitive compulsions—like over-praying, seeking constant reassurance, or fearing you’ve lost your connection to the divine—know that healing is possible.

To help more individuals like Marie navigate these challenges, the International OCD Foundation has released a comprehensive new brochure specifically for people of faith.

Download the “OCD is Not What You Think It Is” Brochure here or visit the Faith & OCD Resource Page to find more specialized support and information.

The post When OCD Is Loud, Trust Your Higher Power appeared first on International OCD Foundation.

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Network analysis of spousal support and fear of childbirth in pregnant women of advanced maternal age

BackgroundFear of childbirth is an important perinatal mental health concern, particularly among women of advanced maternal age. However, the specific interrelations between spousal support and fear of childbirth remain unclear.MethodsThis cross-sectional study recruited 279 pregnant women of advanced maternal age from a tertiary hospital in Henan, China, using convenience sampling. Spousal support and fear of childbirth were assessed using the Spouse Support Inventory and the Childbirth Attitude Questionnaire. A regularized partial-correlation network was estimated using EBICglasso, and central and bridge nodes were identified. Network stability was examined using bootstrap procedures.ResultsThe prevalence of any fear of childbirth, defined as a CAQ score ≥28 and including mild, moderate, and severe categories, was 86.4% (n = 241). Negative associations predominated between the spousal support and fear of childbirth communities. The strongest cross-community association was observed between “teaching you how to do things you do not know how to do” and “concern about fetal health.” The most central nodes were “participating in activities together to reduce your stress” and “providing you with helpful information,” whereas the strongest bridge nodes were “helping you understand why things did not go well” and “giving you encouragement.ConclusionSpecific supportive behaviors, especially informational and cognitive-appraisal support, occupied central positions in the network linking spousal support and fear of childbirth among pregnant women of advanced maternal age. Strengthening these forms of spousal support may inform the development of couple-based interventions to reduce childbirth fear and promote perinatal mental health.
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Psychotherapy initiation is associated with discontinuation of psychotropic medications without dose escalation: a ten-year real-world cohort study (2014-2024)

BackgroundIncreasing psychotropic prescribing has raised concerns about long-term safety and regimen complexity in mental health care. Although psychotherapy is an established treatment, its role in medication optimization and psychotropic medication reduction in real-world practice across patient subgroups remains insufficiently characterized.ObjectiveTo evaluate whether initiation of psychotherapy is associated with short-term changes in psychotropic medication exposure and regimen complexity, and to examine differences by sex, age, and diagnostic category. Methods: A retrospective cohort study was conducted using anonymized pharmacy dispensing data from the Mental Health Service of Hospital Marina Baixa (Alicante, Spain) between 2014 and 2024. Patients with at least one active prescription for a benzodiazepine or antidepressant within 90 days before psychotherapy initiation were included. Psychotropic exposure was compared in symmetric 90-day pre- and post-therapy windows using number of active agents, total Defined Daily Doses, and prevalence of benzodiazepine and antidepressant use, with stratified analyses by sex, age group, and diagnosis.ResultsThe cohort comprised 86,502 patients and 20.76 million dispensations. The median number of psychotropic medications decreased from 5 to 2 (p < 0.001), while total dose remained stable (median Defined Daily Dose ≈ 21.7; p = 0.999). Benzodiazepine use declined from 87.6% to 67.5% and antidepressant use from 81.8% to 68.8% (both p < 0.001). Men were more likely than women to discontinue benzodiazepines (odds ratio 1.27, 95% confidence interval 1.13–1.43), and simplification increased with age (median reduction −1 in <18 years to −4 in ≥65 years). The largest benzodiazepine reductions occurred in depressive, personality, and episodic mood disorders (−23 to −27 percentage points).ConclusionsIn routine public mental health care, psychotherapy initiation is associated with substantial simplification of psychotropic treatment regimens without increasing overall medication dose, supporting a potential role in facilitating rational medication simplification.
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Cognitive-attitudinal factors predict CBT-I enrollment willingness in Chinese sleep clinic patients: a knowledge-attitudes-practices survey

BackgroundDespite strong evidence for cognitive behavioral therapy for insomnia (CBT-I), uptake remains constrained by poorly understood cognitive, attitudinal, and practical barriers. This study examined determinants of willingness to enroll in sleep improvement programs among adults at risk of sleep disorders—including insomnia, obstructive sleep apnea, and comorbid psychological distress—attending a tertiary sleep clinic in China.MethodsA cross-sectional knowledge-attitudes-practices survey was conducted among 2,661 adults attending the sleep and behavioral medicine outpatient clinic at Ganzhou Hospital-Nanfang Hospital, Southern Medical University, Ganzhou, Jiangxi, China, between February 2022 and June 2025. Willingness to enroll in a structured sleep improvement program was assessed alongside sleep health knowledge, perceived need, CBT-I versus medication effectiveness beliefs, telehealth acceptability, clinical severity (Insomnia Severity Index, Epworth Sleepiness Scale, STOP-Bang), psychological symptoms (PHQ-2, GAD-2), perceived barriers, and sociodemographic characteristics. Multivariable logistic regression identified independent predictors of willingness to enrollment, with secondary analyses evaluating model discrimination and testing prespecified interactions.ResultsAmong 2,661 participants (median age 45 years, 56.5% female, median ISI = 13), 1,386 (52.1%) expressed willingness to enroll. Univariable comparisons showed no significant differences between willing and not-willing groups across demographics, clinical characteristics, or barriers (all p>0.05). However, multivariable modeling revealed that when considered simultaneously, cognitive-attitudinal factors emerged as significant independent predictors, suggesting complex interactions rather than simple bivariate associations. In multivariable models, perceived need (OR = 1.20, 95% CI: 1.16–1.25, p<0.001), beliefs that CBT-I is more effective and durable than sleep medication (OR = 1.12, 95% CI: 1.08–1.16, p<0.001), sleep health and treatment knowledge (assessed by a six-item knowledge score) (OR = 1.09, 95% CI: 1.05–1.13, p<0.001), and anxiety symptoms (OR = 1.07, p=0.005) positively predicted willingness. Paradoxically, depression symptoms (OR = 0.94, p<0.001) and insomnia severity (OR = 0.93, p<0.001) inversely predicted willingness. Model discrimination was modest (AUC = 0.543, 95% CI: 0.504–0.590). Time (mean 3.54) and cost (3.44) were most severe barriers but showed no independent association with willingness (p>0.05).ConclusionCognitive-attitudinal factors (perceived need, CBT-I beliefs, knowledge) independently predicted enrollment willingness, whereas demographics and practical barriers did not. Depression and insomnia severity paradoxically reduced willingness, creating an inverse care law. However, poor model discrimination and measurement of stated willingness rather than actual enrollment limit conclusions. Prospective validation and motivational enhancement strategies for patients with depression are needed.
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Brain-Infiltrating T Cells Linked to Social Deficits in Autism Mouse Model

The prevalence of autism spectrum disorder (ASD) is roughly one in 36 people, with a male-to-female ratio of 4:1. The disorder is known to be influenced by multiple factors, both genetic (gene mutations and copy number variations) and environmental, such as infections during pregnancy. However, the role of immunity in genetic ASD remains unclear.

One area of interest lies in lymphocytes—cells that are known to shape neurodevelopment and behavior. But their roles in neurodevelopmental disorders are not well defined.

Now, new research shows that a subset of T cells—γδ T cells—can infiltrate the brain and contribute to changes in social behavior in a genetic mouse model that mimics behavioral features of ASD. Depleting these cells from the brain increased sociability, suggesting that targeting abnormal immune function during neurodevelopment may offer interventions for ASD.

This work is published in Science Immunology in the paper, “CXCL16-mediated recruitment of γδ T cells to the brain reduces sociability in mice.”

Infections during pregnancy can induce the release of interleukin-17A (IL-17A) from T helper 17 cells and γδ T cells. Prior research has linked this type of maternal immune activation to neurodevelopmental disorders, but there is a lack of evidence connecting IL-17A and social behaviors in genetic mouse models.

To investigate this further, a team of researchers from the Division of Allergy and Immunology in the Medical Institute of Bioregulation at Kyushu University, in Fukuoka, Japan, studied 15q11-13 duplication (15q dup) mice—a mouse model that mimics a chromosome duplication found in some humans with ASD. These mice also demonstrate reduced social interactions, behavioral inflexibility, and increased anxiety-like behaviors.

The team analyzed immune cell populations in the brains of the 15q dup mice. Their findings suggest an increase in γδ T cells in the developing brains when compared with wild-type mice.

Using single-cell RNA sequencing (scRNA-seq), the team uncovered that this was most likely due to microglia in the brain expressing the chemokine CXCL16, which promotes immune cell migration. CXCL16 was highly expressed in the brains of 15q dup mice and contributed to increased infiltration of γδ T cells.

In addition, experiments revealed that deleting IL-17A–producing γδ T cells or blocking them with antibodies after birth increased sociability and reduced anxiety-like behaviors in the 15q dup mice.

Taken together, the authors note that these findings suggest that “immune dysregulation contributes to social behavior deficits in 15q dup mice, consistent with observations in maternal immune activation models, and may represent a potential target for interventions for ASD-associated differences in social behavior.”

The post Brain-Infiltrating T Cells Linked to Social Deficits in Autism Mouse Model appeared first on GEN – Genetic Engineering and Biotechnology News.

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QAIAx (AIhealth4U) – AI Public Health Central: Microcity-A (re Quantum AI Agency Aka AI City Hall Project, UPSTO App Nos. 64/074,526, 64/063,557, 63/903,181, 63/729,428

Conditions: Asperger’s Disorder; Asperger Disorder; Autism Disorder; Autism; ADHD – Attention Deficit Disorder With Hyperactivity; ADHD; ASD; Alcohol Abuse/Dependence; Alcohol Addiction; Alcohol and Other Drug Use Disorders; Alcohol and Other Substance Use Prevention; Gambling Addiction; Gambling Disorder; Sex Abuse; Sex Behavior; Sex Crimes; Sex Disorder; Sex Disorders; Gender Dysphoria, Adult; Eating Behavior Disorders; Narcotic-Related Disorders; Narcotic Addiction; Narcissism; Psychiatric Disorder; Psychedelic Effects in Healthy Volunteers; Psychedelic Experiences; Psychedelic Drug Dependence; Marijuana Use Disorder; Marijuana Abuse and Dependence; Smoking (Tobacco) Addiction; Smoking Among Youth; Smoking Abstinence; Abstinence, Sex; Opiate Substitution Treatment; Opioid Abuse (Disorder); Opioid Abuse and Addiction; Cocaine Abuse; MDMA (‘Ecstasy’); Addiction Disorders; Homeless and Low Incomes People, Refugees; Homelessness; Reliability and Validity; Anger Problems; Child Abuse, Sexual

Interventions: Behavioral: AI City Hall Project (AIhealth4u – Public Health Central); Behavioral: AI City Hall Project (QAIAx Microcity A – AI Public Health Central)

Sponsors: Veterans Recovery Network Inc.; U.S. Special Operations Command; Central Virginia VA Health Care System; AI-119 Vulcan Project Research & Educational Technology Company (fka Henry Nanpei Academy Project)

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