178 papers
This study validates the Riga Cognitive Screening Task as an effective tool for identifying cognitive impairment in older adults by demonstrating significant multivariate covariance between its performance scores and cortical thickness in temporal and parietal brain regions.
This cross-sectional study of 297 adults with glaucoma at a tertiary hospital in Tanzania found that 11.1% experienced probable depressive symptoms, with strong and moderate social support identified as significant protective factors against depression.
This longitudinal study of 193 healthy controls and 350 individuals with schizophrenia spectrum disorders reveals that long-term morphometric similarity gradients, which align with cortical hierarchy and disease epicenters, are significantly associated with treatment duration, medication, and psychiatric symptoms, thereby elucidating how brain organization and clinical interventions shape disease progression.
This study demonstrates that Mild Behavioural Impairment characterized by apathy is significantly associated with elevated plasma phosphorylated tau181 levels both cross-sectionally and longitudinally, supporting its utility as a potential early proxy marker for Alzheimer's disease tau pathology.
This study demonstrates that in cognitively normal and mild cognitive impairment individuals, apathy associated with Mild Behavioural Impairment is significantly linked to reduced cortical thickness and grey matter volume in Alzheimer's disease-vulnerable regions, suggesting it reflects early AD-related neurodegeneration rather than traditional apathy-related structural changes.
This global cross-sectional survey of 1,732 medical researchers found that 38.8% are at risk of burnout, with higher levels of trait mindfulness serving as a significant independent protective factor against burnout risk after controlling for socio-demographic variables.
This study demonstrates that plasma lipidomic alterations, particularly in specific lipid classes like sphingolipids and phosphatidylcholines, robustly track multidimensional psychosis severity across schizophrenia and bipolar disorder, suggesting these lipid changes reflect transdiagnostic biological processes linked to illness burden that are not fully captured by categorical diagnoses or polygenic risk scores.
This study demonstrates that a domain-specialized Bio-ClinicalBERT model outperforms a generalist instruction-tuned Instructor-XL in classifying heterogeneous psychiatric symptoms across a large-scale clinical text corpus, achieving superior overall performance while leveraging clinically relevant linguistic features.
This longitudinal study of over 10,000 Belgian adults from 2020 to 2024 reveals that while most individuals maintained stable mild mental health symptoms, a significant minority experienced worsening anxiety and depression over time, driven by risk factors like financial insecurity and loneliness, while protective factors such as social support and life satisfaction played crucial but evolving roles in mitigating symptom severity.
In a large-scale, real-world quasi-experimental study, embedding AI-enabled continuous care features into routine psychotherapy was found to significantly improve early treatment engagement and accelerate the reduction of depressive and anxiety symptoms compared to psychotherapy alone.
This study utilizing the Australian Genetics of Depression Study identifies a distinct circadian subtype of depression characterized by earlier onset, greater severity, poorer response to standard antidepressants, and specific genetic associations with sleep, metabolic, and psychiatric traits, thereby supporting its potential clinical utility for guiding treatment.
This study develops a high-precision machine learning model using electronic health records from over 220,000 patients with bipolar depression to accurately predict 30-day suicidal behavior risk, thereby overcoming previous performance limitations and providing a robust decision support tool for nonspecialist providers.
This study demonstrates that resting-state EEG serves as a stable, trait-like biomarker capable of distinguishing between B-SNIP psychosis biotypes with greater accuracy than DSM diagnoses, while also showing promise as a modifiable target for HD-tDCS interventions that yield specific clinical improvements.
This study utilizes a data-driven polygenic risk score framework to identify two biologically and clinically distinct subgroups of schizophrenia patients, revealing that beyond shared schizophrenia liability, variations in genetic risks for depression, neuroticism, and cognitive performance significantly influence disease severity and treatment response.
Using data from the Adolescent Brain Cognitive Development Study, this research demonstrates that healthy lifestyle factors, particularly sleep quality, partially mediate the relationship between mental health issues and functional outcomes in early adolescence, with the strength of these mediating effects varying significantly based on environmental risk factors such as financial adversity and family conflict.
This meta-analysis of 28 randomized controlled trials demonstrates that noninvasive brain stimulation, specifically non-concurrent repetitive transcranial magnetic stimulation, significantly enhances the efficacy of human-delivered, manualized cognitive behavioral therapy for anxiety disorders, whereas concurrent administration and transcranial direct current stimulation do not yield similar benefits.
This study demonstrates that adolescents with depression exhibit distinct oculomotor phenotypes, including impaired fixation stability, increased saccadic errors, and altered pupil dynamics during an interleaved pro- and anti-saccade task, suggesting these objective measures could serve as a valuable screening tool for detecting undiagnosed cases.
This study demonstrates that early DNA methylation at the NGFI-A binding site of the NR3C1 1F promoter predicts lower cognitive function at age five in children from disadvantaged backgrounds, a relationship mediated by concentration problems and modulated by early life stressors and the Parents as Teachers intervention.
This cross-sectional study of 967 Mexican participants seeking online psychological support utilized network analysis to identify self-evaluation and emotional well-being as central elements linking mental well-being with distress and psychological inflexibility, thereby highlighting key targets for intervention.
The paper introduces Lingo, an open-source web-based platform that captures comprehensive language and cognitive phenotypes in 30 minutes, demonstrating that its derived measures offer significantly greater statistical power for genetic discovery than traditional methods while identifying distinct genetic and psychiatric profiles associated with specific language factors.