Günter Schumann

Early life stress alters lifespan trajectories of amygdala development: a cross-species model of amygdala burnout

The paper proposes the amygdala burnout hypothesis, showing early-life stress leads to initial amygdala volume increases in adolescence followed by reductions in older age across rodents and humans.

Reproducible Human Reward Imaging Phenotypes Exhibit Differential Sensitivity to Dopamine D2 Receptor Antagonism

The paper identifies two reproducible reward imaging phenotypes linked to dopamine D2 receptor function and shows differential responses to antipsychotic drugs.

Heart rate dynamics embed a shared representation of individual brain organization and cognitive function

The paper links heart rate dynamics to brain functional organization and cognitive traits using multi-modal data and statistical analysis.

Sex-specific associations of childhood adversity with frontostriatal network organization and anhedonia in young adulthood

The paper examines how childhood adversity dimensions relate to frontostriatal network connectivity and anhedonia in young adults, finding sex-specific associations.

Protracted Maturation of Proactive and Reactive Systems Predicts Cognitive Stability and Psychopathology : A longitudinal multi-cohort study

The paper uses longitudinal fMRI data to show that proactive and reactive control networks stabilize after mid-adolescence, predicting cognitive stability and psychopathology.

Adversity and adolescent brain development: differential associations with grey and white matter across two longitudinal cohorts

This study examines how different types of adversity affect grey and white matter development in adolescents across two cohorts, finding distinct associations between adversity types and brain structure metrics.

Trajectories of brain organisation transition from predicting externalising to internalising symptoms across adolescence

The paper uses longitudinal neuroimaging and behavioural data to show how brain-behaviour relationships shift from externalising to internalising symptoms across adolescence, identifying age 14 as a critical transition point.

Bullying Victimization and Brain Development: A Longitudinal Structural Magnetic Resonance Imaging Study from Adolescence to Early Adulthood

This study links bullying victimization to structural brain changes in adolescents and young adults, showing sex-specific effects on brain regions involved in emotion and motor function.

Digital Twin Brain simulation and manipulation of a functional brain network underlying mental illness

The paper develops a digital twin brain model that simulates and manipulates functional brain networks to predict mental illness symptoms and responses to interventions.

Brain Age in Conduct Disorder: A Mega-Analysis of the ENIGMA Antisocial Behavior Working Group

This study investigates brain age differences in youth with conduct disorder compared to controls, finding accelerated brain maturation in those with adolescence-onset CD.

Uncovering Multi-Omics Profiles of Population Heterogeneity: A Cluster-Based Bayesian Approach

MOCHA identifies latent population subgroups with distinct genetic effects from multi-omics data, revealing two neurodevelopmental clusters linked to adolescent inhibitory control.

Generating Synthetic Task-based Brain Fingerprints for Population Neuroscience Using Deep Learning

The paper introduces DeepTaskGen, a deep learning method that generates synthetic task-based contrast maps from resting-state fMRI data, outperforming benchmarks and enabling biomarker development for cognitive tasks.

Sex-dependent cortico-amygdala circuits controlling emotion recognition

This study identifies sex-dependent cortico-amygdala circuits for emotion recognition and shows that age-related impairments can be reversed in male mice through BLA activation.

Anatomical connectivity profile development constrains medial-lateral topography in the dorsal prefrontal cortex

This study identifies developmental differences between dorsomedial and dorsolateral prefrontal cortex using multimodal data and transcriptomics, revealing a medial-lateral topographic division.

Mapping the coupling between tract reachability and cortical geometry of the human brain

This study maps the coupling between cortical geometry and white matter tract connectivity, showing how these aspects jointly shape brain function.

Chronic pain is linked to a resting-state neural archetype that optimizes learning from punishments

The paper identifies a neural archetype associated with chronic pain susceptibility by analyzing resting-state networks in population and clinical samples.

Brain Diffusion Transformer for Personalized Neuroscience and Psychiatry

The paper introduces Brain-DiT, a deep generative model for analyzing task-fMRI data, identifying cognitive regions and subgroups linked to psychiatric conditions like depression and alcohol abuse.

Genomic deletion and duplication effects on cognitive ability lie at the opposing ends of the cortical sensorimotor-association hierarchy

The paper develops a method to analyze genomic deletions and duplications across the cerebral cortex and finds opposing effects on cognitive ability depending on gene expression patterns in different cortical regions.

Effects of gene dosage on cognitive ability: A function-based association study across brain and non-brain processes

The paper identifies a CNV duplication associated with higher cognitive ability and shows gene-dosage effects differ between deletions and duplications across biological processes.

Genetic-Dependent Brain Signatures of Resilience: Interactions among Childhood Abuse, Genetic Risks and Brain Function

The paper identifies a genetic-dependent brain signature of resilience linked to childhood abuse and depression risk in girls, showing its predictive value for emotional disorders in adolescence and early adulthood.

Regional patterns of human cortex development correlate with underlying neurobiology

The paper links regional human cortex development and aging to molecular and cellular brain organization patterns using neuroimaging and gene expression data.

Variation in moment-to-moment brain state engagement changes across development and contributes to individual differences in executive function

This study examines how variability in brain state engagement changes with age and its relationship to executive function in youth.

Brain-Age Prediction: Systematic Evaluation of Site Effects, and Sample Age Range and Size

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use

This study shows that a brain network for sustained attention at age 14 predicts increased cannabis and cigarette use by age 23 in a longitudinal cohort.

Cross-continental environmental and genome-wide association study on children and adolescent anxiety and depression

This study investigates environmental and genetic factors influencing anxiety and depression in children and adolescents across three cohorts, identifying significant environmental impacts and a novel SNP associated with the disorders.

Copy-number variants and polygenic risk for intelligence confer risk for autism spectrum disorder irrespective of their effects on cognitive ability

This study shows that rare CNVs and PRS-IQ increase ASD risk independently of their effects on cognitive ability, suggesting ASD risk and cognitive ability are distinct outcomes of these variants.

Adolescent to young adult longitudinal development of subcortical volumes in two European sites with four waves

The paper examines sex differences in subcortical brain volume trajectories across adolescence using longitudinal data from two European sites.

Fractionation of neural reward processing into independent evaluation and salience components by novel decoding principle

This paper introduces DeCoP, a novel decoding method that separates reward processing into evaluation and salience components, showing improved performance over traditional methods.

Normative Modeling of Brain Morphometry Across the Lifespan using CentileBrain: Algorithm Benchmarking and Model Optimization

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains

This study uses federated analysis in COINSTAC to examine functional network connectivity in adolescent brains linked to smoking and alcohol consumption, finding hypoconnectivity and reduced synchronization.