Michael N. Smolka

This study uses machine learning to predict alcohol consumption from resting-state fMRI connectivity, finding weak but reproducible signals with limited predictive power.

The paper examines associations between impaired control symptoms in AUD and behavioral, neural, and drinking behavior measures, finding specific links to inhibitory control deficits.

This study investigates Pavlovian-to-instrumental transfer (PIT) interference in individuals with alcohol use disorder (AUD) and smoking status, finding greater PIT interference and reduced prefrontal activation in AUD participants.

This study finds that individuals with alcohol and tobacco use disorders show reduced planning depth and stronger probability discounting in decision-making tasks compared to healthy controls.

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.

The paper examines alcohol-specific and general Pavlovian-to-instrumental transfer (PIT) in individuals with alcohol use disorder (AUD) and controls, finding stronger alcohol-specific PIT in AUD.

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

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

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

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.

This study shows estrogen receptor alpha in the amygdala influences alcohol craving in females through mouse models and human genetics.

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.

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.

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

The paper introduces NP-BCC, a model that integrates automatisation and prior knowledge to achieve stable adaptive behaviour in dynamic environments through simulations.

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

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

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

This study investigates forward planning in individuals with mild-to-moderate alcohol use disorder compared to healthy controls, finding no evidence of planning impairments.

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

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.

The paper investigates how goal-directed and habitual control interact under time pressure, finding that habitual control adapts contextually through proactive and reactive mechanisms.

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.

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

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

The paper introduces a joint model of choices and reaction times that integrates Bayesian decision making with sampling procedures to explain decision processes in cognitive tasks.

This study develops an individualized in vivo marker of excitation-inhibition balance in adolescents using biophysical network models and finds increased inhibition in association cortices during development.

The paper investigates whether 5-HTTLPR genotype differences in white matter microstructure explain risk-seeking behavior for losses, but finds no significant associations.

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.

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