Helmut H. Strey

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

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

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

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

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.

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.

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

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

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.

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.