Joerg F. Hipp

Linking human brain functional connectivity to underlying neurotransmitter systems

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.

Assessment of adaptive functioning in Angelman syndrome using the Vineland Adaptive Behavior Scales, Third Edition

This study tracks adaptive functioning in Angelman syndrome using Vineland-3, finding slower growth in deletion subtypes and parallel developmental trajectories across subtypes.

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.

Neurologically altered brain activity may not look like aged brain activity: Implications for brain-age modeling and biomarker strategies

This study shows that brain-age gaps from EEG spectral power in neurological populations do not reflect accelerated aging, challenging the use of EEG as a biomarker for neurodegeneration.

GREEN: a lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration

GREEN is a lightweight neural network that combines wavelet transforms and Riemannian geometry for EEG biomarker analysis, outperforming non-deep models and large DL models with fewer parameters.

Qualitative EEG abnormalities signal a shift towards inhibition-dominated brain networks. Results from the EU-AIMS LEAP studies

The paper examines EEG abnormalities in ASD and controls, finding reduced fE/I in both groups with abnormalities, suggesting inhibition-dominated networks in sensory regions.

Machine learning of brain-specific biomarkers from EEG

This study uses machine learning to analyze EEG data and shows that both brain and peripheral signals contribute to predicting age and sex, but brain signals are more effective for CNS-specific biomarkers.

Patterns of connectome variability in autism across five functional activation tasks. Findings from the LEAP project

The paper identifies patterns of neural variability in autism using fMRI across tasks, finding greater global connectivity deviations and similar spatial patterns in autistic individuals compared to controls.

Autism is associated with inter-individual variations of gray and white matter morphology

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

Angelman syndrome patient neuron screen identifies a potent and selective clinical ASO targeting UBE3A-ATS with long lasting effect in cynomolgus monkey

The paper identifies a potent ASO targeting UBE3A-ATS in Angelman syndrome patient neurons, showing long-lasting effects in cynomolgus monkeys.

Motion Coherence and Luminance Contrast Interact in Driving Visual Gamma-Band Activity

The paper investigates how motion coherence and luminance contrast interact to drive gamma-band activity in visual cortex using MEG, finding a multiplicative interaction supporting a gain mechanism.

Atypical brain asymmetry in autism - a candidate for clinically meaningful stratification

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

Emergence of consciousness and complexity amidst diffuse delta rhythms: the paradox of Angelman syndrome

The paper shows that EEGs from children with Angelman syndrome exhibit greater complexity during wakefulness than sleep, challenging theories that link consciousness to information-poor dynamics.

Reproducible functional connectivity alterations are associated with autism spectrum disorder

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

Cerebral blood flow predicts differential neurotransmitter activity

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.