Natalia Petridou

The paper shows that divisive normalization models better capture temporal dynamics in human somatosensory cortex compared to linear models, mirroring visual cortex findings.

The paper introduces VM-NORDIC, a denoising method for submillimeter BOLD fMRI that improves tSNR and spatial smoothness by using non-local voxel matching.

This study introduces a cardiac-specific BOLD fMRI-based pulsatility index, validates its sensitivity to hypercapnia, and shows its correlation with vascular reactivity and venous blood volume.

This paper introduces a method to map human cortical vasculature at high resolution, enabling quantitative analysis of vascular networks in human brain tissue.

The paper measures alpha oscillations in human visual cortex using intracranial electrodes and finds they are spatially specific, with receptive field models showing larger spatial tuning compared to broadband power.

This study examines how vascular compartments affect pRF size estimates in early visual cortex using BOLD-fMRI and finds no significant vascular influence on pRF size.

This study simulates BOLD fMRI signals across cortical depth using realistic 3D vascular models to assess how vascular architecture influences GE and SE BOLD contrast.

The paper presents a computational framework to simulate BOLD fMRI signal formation in a synthetic human 3D cortical vasculature model, showing that human-specific features significantly affect the BOLD fingerprint.

This study investigates how echo train length (ETL) affects microvascular specificity in SE-EPI BOLD fMRI, showing increased macrovascular contamination with longer ETL durations.

This study investigates speed encoding in the human middle temporal cortex using 7T fMRI, showing two distinct encoding mechanisms in different neuronal groups.

The paper models temporal dynamics of neural responses in human visual cortex using a computational model that captures contrast and adaptation effects across different visual areas.

The paper characterizes body part relationships in motor cortices using a non-rigid population Response Field model and graph theory, revealing somatotopic structures and unique response profiles for specific body parts.

This study quantifies how macro- and micro-vascular compartments affect laminar BOLD fMRI responses under hypercapnic and hyperoxic conditions.

The paper uses population receptive field modeling to show a functional hierarchy in human primary somatosensory cortex, with increasing pRF sizes from BA3 to BA2.

The paper develops a 3D vascular model to simulate hemodynamic changes and compute the BOLD fMRI signal response by incorporating biophysical interactions and vascular topology.

This study uses sub-millimeter fMRI to show that individual fingers have multiple mirrored representations in the motor cortex based on movement types, bridging invasive and non-invasive motor organization research.

The paper develops a model to predict gamma oscillation responses to arbitrary images and validates it on human ECoG data, finding that gamma responses are stimulus-specific and may indicate gain control rather than information transfer.