Helmut H. Strey

Mechanistic simulation identifies predictive dose-dependent biomarkers of propofol anesthesia

The paper uses a mechanistic model to simulate propofol's effects on brain circuits, identifying a dose-dependent biomarker confirmed in empirical data.

Mechanistic corticostriatal circuit model predicts learning-dependent fMRI dynamics and individual reward bias in humans

The paper uses a biophysical corticostriatal model to predict fMRI dynamics and individual reward bias in humans, confirming predictions through fMRI data.

Computational modeling of neurotransmitter cycling predicts human brain glutamate and GABA dynamics in response to administration of exogenous ketones

This study develops a computational model of neurotransmitter cycling to predict glutamate and GABA dynamics in response to exogenous ketones, supported by MRS data.

Spatially convergent fMRI signatures of diabetes and male sex identify genetic vulnerabilities to accelerated brain aging

Increasing spectral DCM flexibility and speed by leveraging Julia's ModelingToolkit and automated differentiation

The paper introduces a Julia package that enhances spectral DCM flexibility and speed using ModelingToolkit and automatic differentiation for parameter estimation in neuroimaging data.

Ketosis regulates K+ ion channels, strengthening brain-wide signaling disrupted by age.

The paper investigates how ketosis affects brain signaling by reversing age-related desynchronization observed in resting-state fMRI, using EEG data and a neural mass model.

Biomimetic model of corticostriatal micro-assemblies discovers new neural code

The paper introduces a biomimetic model that generates simulated neural activity and cognitive phenomena, validated against experimental data, and discovers a new neural code predicting erroneous behaviors.

Quantifying control circuit regulation in the human brain.

This paper applies control systems engineering methods to fMRI data to quantify brain circuit regulation and its dysregulation in psychiatric disorders.

Parameter estimation for correlated Ornstein-Uhlenbeck time-series

This paper develops a maximum likelihood method to estimate parameters of correlated Ornstein-Uhlenbeck processes and validates it using simulations and fMRI data.

Development of an MRI Compatible Nasal Drug Delivery Method: Probing Nicotine Addiction Dynamics

This paper develops an MRI-compatible nasal delivery system for nicotine to study addiction dynamics and confirms its ability to elicit craving cycles and activate addiction-related brain circuits.

Correlation of mRNA delivery timing and protein expression in lipid-based transfection

The paper investigates the relationship between mRNA delivery timing and protein expression in lipid-based transfection, finding no intrinsic correlation at the single-cell level.