178 papers
This multiverse analysis of two large datasets reveals that the theta/beta ratio is not a robust biomarker for ADHD, as previously reported group differences are largely driven by analytical choices, age, and individual alpha frequency rather than stable oscillatory dynamics.
This quasi-experimental study demonstrates that the internet-based cognitive behavioral therapy program MoodGYM significantly reduces depressive symptoms among repeating undergraduate students at the University of Zambia, offering a scalable mental health solution for low-resource university settings.
This study demonstrates that a plasma cytokine panel, specifically elevated IL-17A combined with lower MIP-3α and IFN-γ levels, serves as a strong predictive biomarker for identifying first-episode psychosis patients at risk of clinical stage transition over a 12-month period.
This study demonstrates that baseline white blood cell count moderates the relationship between heart-brain coupling during iTBS and clinical improvement in major depression, where higher coupling predicts symptom relief only in patients with lower inflammation, while elevated white blood cell counts are associated with specific white-matter microstructural alterations and reduced treatment efficacy.
This systematic review and meta-analysis of 3,330 first-episode psychosis patients found that clinically relevant cerebrospinal fluid abnormalities occur in approximately 7.1% of cases, a rate comparable to brain MRI findings, with detection rates varying significantly based on the pre-test clinical suspicion of secondary causes.
This study provides the first in-vivo evidence in unmedicated persons with schizophrenia of a dopamine-associated alteration in basal ganglia functional connectivity (specifically between the dorsal caudate and globus pallidus externus) that correlates with neuromelanin MRI markers and working memory deficits, thereby bridging a gap between animal models and human pathology.
This meta-analysis demonstrates that Hippocampal Indirectly Targeted Stimulation (HITS) robustly and selectively enhances episodic memory, particularly recollection-based performance, in both healthy and clinical populations by targeting the hippocampal network without serious adverse events.
This study demonstrates that DNA methylation profiles in very preterm children, particularly during the neonatal period, are significantly associated with social-behavioral outcomes at age 5, implicating specific neurodevelopmental genes and pathways in the biological link between preterm birth and later behavioral challenges.
This study develops and validates a simple flagging tool that identifies implausibly large effect sizes in psychological intervention trials, demonstrating that excluding these suspicious studies significantly reduces pooled effect estimates and heterogeneity, thereby improving the quality control of meta-analytic evidence.
A retrospective analysis of 23 pediatric patients at a specialized mental health center in Dushanbe, Tajikistan, revealed that developmental disorders, particularly autism spectrum disorder, constitute the majority of cases with high comorbidity, underscoring the need for a multidisciplinary approach to optimize care.
This study demonstrates that multivariate EEG microstate dynamics can distinguish first-episode schizophrenia spectrum psychosis from healthy controls and specifically correlate with negative symptom severity, despite lacking significant univariate differences.
This mixed-methods study identifies four distinct population groups with varying mental health needs in Australian prisons and outlines the specific service mixes required for each to support evidence-based, equitable, and responsive mental health care planning within custodial environments.
This study demonstrates that genetic liability to substance use disorders manifests in childhood as a wide range of modifiable risk factors, particularly in mental health, sleep, and screen time, even among children who have not yet been exposed to substances.
This paper presents a multimodal machine learning framework that leverages synchronized audio, video, and text data from tele-counseling interactions to accurately classify depression and specific symptom subtypes, achieving up to 81% accuracy and demonstrating the potential for scalable, objective mental health assessment in low-resource settings.
Using nationwide Danish data, this study reveals that electroconvulsive therapy (ECT) provision experienced a significant but temporary reduction during the initial phase of the COVID-19 pandemic, while remaining resilient during subsequent lockdowns, highlighting the need to prioritize safeguarding access to this critical treatment in future public health crises.
This study protocol outlines a cluster-randomized trial designed to conceptually replicate the efficacy of the Homework, Organization, and Planning Skills (HOPS) program for youth aged 11–14 by evaluating its effectiveness when delivered by school-based providers compared to treatment-as-usual/waitlist and research team providers under authentic post-pandemic conditions.
This meta-analysis of 227 individuals across three cohorts demonstrates that early-life adversity leaves a common DNA methylation signature involving 15 genes related to neuronal development and metabolism, which can be quantified using a newly developed poly-epigenetic score to track long-term health impacts.
Using unsupervised machine learning on UK Biobank data, this study identifies robust and reproducible symptom subtypes of depression that align with known clinical categories and reveal novel profiles linked to specific sociodemographic factors, health conditions, and genetic risks, thereby supporting data-driven approaches for refining diagnosis and personalizing treatment.