The overall observed prevalence estimate was similar to estimates calculated using Bayesian hierarchical and random effects models, and ASD prevalence was lower among non-Hispanic White (White) children than among Asian or Pacific Islander (A/PI) children (27.7) than among Asian or Pacific Islander (A/PI) children (38.5).
Proposed models for the neural circuitry of normal anxiety as well as the anxiety disorders are discussed.
A randomized controlled trial testing an expert–fine-tuned Gen-AI–powered chatbot, Therabot, for mental health treatment of adults with clinically significant symptoms of major depressive disorder, generalized anxiety disorder, or at clinically high risk for feeding and eating disorders.
This position paper argues that the promise of LLM social simulations can be achieved by addressing five tractable challenges, and identifies promising directions, including context-rich prompting and fine-tuning with social science datasets.
A computational model called Centaur, developed by fine-tuning a language model on a huge dataset called Psych-101, can predict and simulate human nature in experiments expressible in natural language, even in previously unseen situations.
Results in schizophrenia are consistent with previous findings in depression where having a higher percent of patients randomized to placebo increased drug-placebo differences.
The global prevalence and years lived with disability (YLDs) associated with mental disorders and substance use disorders (SUDs) across 4 age groups using data from the 2019 Global Burden of Disease study is estimated.
It is argued that social scientists can address many of these limitations of Generative AI by creating open-source infrastructure for research on human behavior, not only to ensure broad access to high-quality research tools, but also because the progress of AI will require deeper understanding of the social forces that guide human behavior.
Testing two families of large language models (LLMs) (GPT and LLaMA2) on a battery of measurements spanning different theory of mind abilities, Strachan et al. find that the performance of LLMs can mirror that of humans on most of these tasks.
This Review describes how natural language processing (NLP) can be used to analyse text data in behavioural science, and provides actionable recommendations for using NLP to ensure rigour and reproducibility.
The Banbury Forum reviewed the evidence for DMHTs, identified the challenges to successful and sustainable implementation, investigated the factors that contributed to more successful implementation internationally, and developed the following recommendations: guided DMHTs should be offered to all patients experiencing common mental disorders, DMHT products and services should be reimbursable to support integration into the U.S. health care system.
This work explores how increasingly capable AI agents may generate the perception of deeper relationships with users, especially as AI becomes more personalised and agentic.
A roadmap for the ambitious yet responsible application of clinical LLMs in psychotherapy is provided and a vision is outlined for how LLMs might enable a new generation of studies of evidence-based interventions at scale, and how these studies may challenge assumptions about psychotherapy.
GBD 2021 showed that the burden of mental disorders has increased over the past three decades, with notable regional disparities, and high SDI regions and females should be paid more attention.
Participants with resolved persistent symptoms after Covid-19 had objectively measured cognitive function similar to that in participants with shorter-duration symptoms, although short-duration Covid-19 was still associated with small cognitive deficits after recovery.
Inspired by Jürgen Habermas’s theory of communicative action, the “Habermas Machine” was designed to iteratively generate group statements that were based on the personal opinions and critiques from individual users, with the goal of maximizing group approval ratings.
An online survey was conducted to assess psychiatrists' familiarity with the metabolic syndrome and its components in patients with bipolar disorder, and characterize their perspectives and practices regarding its impact on patient management.
It is found that depression in BPD has distinct symptoms, treatment responses, remission predictors, and suicide risks, and it is suggested that clinicians should recognize the unique features of BPD depression and anticipate a clinical trajectory that may be different from MDD without BPD, keeping in mind that B PD depression tends not to improve until BPD improves.
The role of neuroinflammation in depression is explored, focusing on glial cell activation, cytokine signaling, blood–brain barrier dysfunction, and disruptions in neurotransmitter systems, to highlight how inflammatory mediators influence brain regions implicated in mood regulation.
The need for integrated interventions targeting sleep, emotional regulation, and behavioral vulnerabilities to mitigate suicide risk is underscored, highlighting the multifaceted nature of suicide risk in adolescent psychiatric inpatients.
The purpose of this review was to identify and analyze risk factors for the development of depressive disorders in women in the postpartum period, to study some manifestations of postpartum depression.
The necessity for longitudinal studies to explore the long-term effects of AI on educational outcomes and mental health is suggested and the importance of incorporating student perspectives for a thorough understanding of AI’s role in education is underscored.
Personalized brain circuit measures quantified using a new imaging technology in 801 patients with depression and anxiety identify six biotypes with unique symptoms, behaviors and responses to different types of treatment.
This paper presents SimBA, an open-source platform for automated, explainable machine learning analysis of behavior, which comes with extensive documentation, a graphical interface and an active community and works with any organism tracked by pose estimation.
It is suggested that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings.
This concise review linking noise exposure to mental health outcomes seeks to fill research gaps by assessing current findings from studies involving both humans and animals.
The paper first defines AI and its scope in the area of mental health, then it looks at various facets of AI like machine learning, supervised machine learning and unsupervised machine learning and other facets of AI.
Aiming specific peripheral immune cell-derived matrix metalloproteinases could constitute novel therapeutic targets for stress-related neuropsychiatric disorders.
The results indicate that aripiprazole was effective in about two thirds of subjects that tolerated this medication, suggesting beginning treatment at lower doses.
In these patients with bipolar depression, the antidepressant effectiveness of PAROX was unacceptably low, but rates of recovery with MAOIs were significantly higher.
Positive changes suggest that this simple, inexpensive treatment for pathological gambling helps pathological gamblers, and the role of naltrexone in the treatment effect needs to be determined with a larger, placebo-controlled study.
A multi-ancestry meta-analysis of genome-wide association studies identifies 95 loci associated with post-traumatic stress disorder and implicate candidate genes, pathways and neurobiological systems underlying its pathophysiology.
Interventions that include a focus on the TDF domains 'environmental context and resources,' 'social influences,' and 'goals,' hold particular promise for promoting active student lifestyles.
This article reviews recent research in the neuropathology, neuroimaging, and developmental psychopathology of schizophrenia, with an aim to critically evaluate several recent proposals concerning the nature and timing of both the neuroanatomic abnormalities underlying the disorder and their behavioral manifestations.
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