Tobias Banaschewski

The paper identifies a multimodal brain pattern associated with autism by integrating gray and white matter morphology data and linking it to clinical symptoms.

The paper investigates genetic overlaps between neuropsychiatric disorders and insulin-related diseases, finding significant genetic correlations and suggesting potential clusters of disorders with divergent pleiotropic effects.

The paper examines how social interactions affect well-being before and during the pandemic, finding that personality, neurobiology, and genes moderate these effects.

This study uses longitudinal fMRI to examine cognitive control development in children with ASD or OCD and typically developing children, finding similar cognitive control development despite some neural differences in OCD.

This study uses Mendelian randomization to examine bidirectional causal effects between brain morphology and Alzheimer's disease risk across different life stages.

This study analyzes structural brain asymmetries in ADHD using 39 datasets, finding small effects that do not meet study-wide significance thresholds.

The paper investigates sex differences in autism using resting-state fMRI data, finding significant effects in brain connectivity and replicating some findings in independent samples.

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.

This study uses machine learning to show that structural brain anomalies in ADHD are similar in children and adults, supporting continuity of the disorder's pathophysiology.

The paper examines longitudinal changes in fronto-striatal glutamate and its relationship with inhibitory control functioning in ASD and OCD across a one-year period.

The paper identifies structural covariation alterations in autism using VBM and links these patterns to core autism symptoms through canonical correlation analysis.

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.

This study identifies a genetic variant in CSMD1 associated with amygdala connectivity and prosocial behavior through a GWAS of brain networks in adolescents.

The paper identifies atypical brain asymmetry in autism as a potential neurophenotype for stratification, showing individualized patterns linked to symptom severity and language delay.

This study investigates reward processing in autism spectrum disorder (ASD) and finds generalized hypoactivity in the ventral striatum during anticipation of both social and monetary rewards.

This study examines the independent effects of socioeconomic status and genetic factors on brain development and cognition in adolescents, finding distinct associations with cortical surface area and working memory.

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.

The paper characterises and stratifies reinforcement-related behaviours by analysing neural activation patterns in adolescents using a statistical framework.

The paper examines structural brain differences in children and adolescents with aggressive behavior, finding subtype-specific volume reductions in regions linked to decision making and empathy.

The paper reports epigenome-wide meta-analyses of blood DNA methylation with subcortical brain volumes, identifying significant associations with hippocampal volume and potential biological mechanisms.

This study examines the relationship between sleep patterns and grey matter volumes in adolescents, finding that later weekend wake-up times are linked to reduced grey matter in specific brain regions and increased psychological symptoms.

This study uses satellite data to assess urbanicity's impact on brain structure, function, and behavior in adolescents across two populations, finding correlations with brain volume and depression symptoms.

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

The paper examines how reactive and proactive aggression subtypes relate to distinct resting state functional connectivity patterns in children and adolescents with disruptive behavior.

The paper examines functional connectivity differences in children and adolescents with disruptive behavior, finding distinct patterns for reactive and proactive aggression and callous-unemotional traits, emphasizing the role of comorbid symptoms.

Cross-disorder meta-analysis of eight psychiatric GWAS (232,964 cases, 494,162 controls) reports 109 loci shared by two or more disorders and three groups of correlated disorders.

This study uses normative models to analyze cortical thickness deviations in ASD, finding individualized patterns rather than common case-control differences.

This study investigates genetic mechanisms underlying sex bias in ADHD prevalence using genome-wide data and finds no mean polygenic burden difference across sexes but increased risk in female siblings and comorbid conditions.

This study evaluates how different factors affect the reliability and balance of false and true positives in coordinate-based fMRI meta-analyses.

The paper analyzes neuroimaging and genotyping data to show that 54% of neuroanatomical heritability is explained by many small-effect SNPs across the genome.