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This study compares thalamic nucleus volumes across multiple psychiatric and neurological disorders using MRI, finding significant volume reductions in specific regions associated with different conditions.

The paper uses a convolutional neural network on longitudinal MRI data to derive latent brain representations linked to adolescent phenotypic variation.

The paper establishes a normative reference for large-scale human brain dynamics using resting-state fMRI data from over 10,000 individuals, revealing systematic reorganization across development and ageing and disorder-specific deviations in mental health conditions.

This study identifies a shared genetic factor underlying brain age gaps across 30 cohorts, finding 19 SNPs and associations with health traits.

This study uses Mendelian Randomization to identify causal relationships between neuroimaging phenotypes and bipolar disorder, finding that white matter tract variations have larger causal effects on BD.

The paper uses normative modeling to assess cerebellar morphology differences in 15q11.2 CNV carriers compared to non-carriers, finding modest and individualized effects.

This study identifies genetic overlap between functional brain connectivity and six psychiatric disorders using multivariate genome-wide association analysis in 30,701 UK Biobank individuals.

The paper examines how genetic and brain similarities predict childhood anthropometric and socioeconomic traits using a mixed model framework in the ABCD cohort.

The paper identifies shared genetic variants between self-reported mental health and brain functional connectivity in the UK Biobank using multivariate statistical methods.

This study evaluates performance metrics in brain-age prediction across datasets, showing variability based on age range, sample size, and age-bias correction.

This study links brain morphology and body composition using MRI data from 19,330 UK Biobank participants, finding significant associations between body measures and brain structures.

The paper investigates the association between predicted brain C4A expression and cognitive performance and brain imaging measures in the UK Biobank, finding significant negative associations and structural mediation effects.

The paper analyzes cortical thickness trajectories in 17,075 individuals to show peak thickness in childhood, steep decline in early adulthood, and slower decline later, with notable exceptions and significant inter-individual variability.

The paper examines how the ascending arousal system influences large-scale brain network integration during a visuospatial attention task, showing correlations with attentional load and receptor distribution.

This study evaluates the effectiveness of combining cognitive training with tDCS in stroke survivors, finding significant training effects but no additional benefit from tDCS, and no strong link between pre-training brain activation and cognitive gains.

This study investigates the relationship between post-stroke fatigue and brain disconnectivity in chronic stroke patients, finding no significant associations with disconnectome measures or lesion characteristics.

This study evaluates TVA parameters in chronic stroke patients to assess short-term memory capacity, processing speed, and perceptual threshold, showing group differences and cognitive training benefits.

The paper analyzes sex differences in brain structure variability across the lifespan using a large dataset, finding greater male variability in subcortical volumes, cortical surface area, and thickness in most regions.

The paper analyzes functional brain networks in sub-acute stroke patients and healthy controls during rest and attentive tracking, finding task-dependent connectivity changes but no group classification differences.

The paper identifies genetic loci associated with brainstem volumes and finds genetic overlaps with psychiatric and neurological disorders.

This study examines age-related changes in the T1w/T2w ratio across the cortical surface in children and adolescents, linking it to cognitive development and sex differences.

The paper examines associations between multimodal brain structural MRI measures and age, sex, and polygenic scores for neuroticism in children and adolescents, finding age and sex effects but weak polygenic associations.

This study uses diffusion tensor imaging and machine learning to predict brain age in schizophrenia and bipolar disorder patients, finding age overestimation in both groups compared to controls.

The paper uses dynamic graphical models to analyze directed functional brain connectivity in rsfMRI data from HCP and UK Biobank, finding associations with age, sex, and mental health.

This study analyzes subcortical volume changes across the lifespan using MRI data from 18,605 individuals, finding age-related declines in some structures and increases in others.

This study identifies genetic variants linked to longitudinal brain structure changes across the lifespan using MRI data from 15,640 individuals.

The paper identifies genetic loci associated with human cortical structure and finds genetic correlations with neuropsychiatric disorders.

The paper identifies genetic loci associated with variability in brain volumes and thickness, showing they are distinct from loci affecting mean volumes.

The paper identifies three modes of brain co-variation in children linked to perinatal risk, socio-cognitive stratification, and urbanicity factors using brain imaging and socio-economic data.