Juergen Dukart

This study links human brain functional connectivity to neurotransmitter systems using resting-state fMRI and MEG across multiple cohorts, showing consistent patterns and clinical relevance.

The paper identifies multiscale principles of brain reorganization under electrical perturbation by integrating neuroimaging, connectomics, and transcriptomics data from 148 experiments.

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 compares inter-subject functional connectivity (ISFC) between autistic and neurotypical individuals during movie-watching using fMRI data from two datasets, finding reduced ISFC in autistic groups.

The paper examines how pre- and postnatal factors influence human cortical microstructure using MRI data from neonates, finding distinct effects on microstructural density and homogeneity.

This study examines how the number of gradients used in Procrustes alignment affects identification accuracy and differential identifiability in functional connectivity analyses across multiple fMRI datasets.

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

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.

This study identifies temporal differences in brain function changes in mothers post-childbirth, showing persistent local changes and rapid normalization of subcortical connectivity linked to hormone levels.

The paper uses normative modeling and neurotransmitter mapping in the UK Biobank to show how age and Parkinson's disease affect brain resting state activity and connectivity through specific neurotransmitter systems.

The paper examines changes in fractional amplitude of low-frequency fluctuations (zfALFF) in resting-state fMRI after different exercise intensities and links these changes to neurotransmitter receptor distributions using spatial cross-correlation analyses.

The paper links miR-137 and its target genes to schizophrenia risk through emotion processing in the prefrontal cortex, showing allele associations with brain activation patterns.

The paper examines how neurotransmitter receptor/transporter molecule (NTRM) co-expression patterns in the brain share organizational traits with brain structure and function.

This study compares the predictive power of resting-state fMRI features and individual characteristics for cognitive phenotypes in 20,000 UK Biobank subjects, finding individual characteristics generally perform better.

This study identifies brain regions and molecular mechanisms associated with interpersonal neural synchronization using multimodal data fusion and meta-analysis.

This study examines brain morphology changes in postpartum women using VBM and SBM, finding reduced gray matter volume in specific regions but no link to mother-infant attachment quality.

The paper predicts individual schizophrenia symptom dimensions using functional brain networks and links these networks to molecular features like dopamine and serotonin systems.

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.

JuSpace links MRI-based functional activity with neurotransmitter systems using cross-modal correlation, finding significant associations in Parkinson's disease and risperidone effects.

This paper evaluates the test-retest reliability of task-based and resting-state fMRI and CBF measures in healthy volunteers, finding large variability and suggesting activation extent as a reliability estimate for new paradigms.

This study identifies reproducible functional connectivity alterations in ASD using rs-fMRI across four large cohorts, linking them to clinical symptoms and brain regions.

The paper investigates how cerebral blood flow changes in response to drugs targeting different neurotransmitter systems and finds a reliable spatial link between blood flow changes and receptor densities.