Deutsch

Institute
News
Research
Library
Career
Schools
Research Participants

Deutsch

Max Planck Institute for Human Cognitive and Brain Sciences

Home
Departments
Neurophysics
Research
MRI biophysics

Publications of Štefan Holiga

All genres

Journal Article (12)
Conference Paper (3)
Meeting Abstract (1)
Talk (8)
Poster (16)
Thesis - PhD (1)

Thesis - PhD (1)

2013

Thesis - PhD

Holiga, Š.: Personalizing functional magnetic resonance protocols for studying neural substrates of motor deficits in Parkinson’s disease. Dissertation (2013)

MPG.PuRe

<< < 2 3 > >>

back to Department of Neurophysics
> All
> MR-physics
> Image-processing
> Bio-physical modelling
> Neuroanatomy
> Validation and Application

Principal Investigator (PI)

Dr. Evgeniya Kirilina

Research group leader +49 341 9940-2235 kirilina@...

Group Members

Co-supervision together with Professor Nikolaus Weiskopf

Other Interesting Articles

A Biophysical Model of Iron-Induced Transverse MRI Relaxation in Nigrosome 1: Toward an Early Biomarker of Parkinson's Disease

We linked the effective transverse relaxation rate R2* with dopaminergic cell densities and iron concentrations in nigrosome 1 by combining 3D quantitative iron histology, post mortem ultra-high resolution MRI, tissue deironing, and analytical modeling approaches.

Laminar fMRI in the human prefrontal cortex at 7T: A replication study of layer-dependent activity during working memory

Validation and Application

A recent fMRI study showed layer-specific responses in the dorsolateral prefrontal cortex during a working memory task. We attempted to replicate the original findings using newly acquired data and a fully automated analysis.

Biomechanical Modeling of Cortical Layers

Bio-physical modelling

We characterize the cortical layers by biomechanical modeling and simulation of the developed human cortex tissue in-vivo using hyperelastic material models.

exemplary activation maps for thin and thick stripes

High resolution quantitative and functional MRI indicate lower myelination of thin and thick stripes in human secondary visual cortex

Validation and Application

In this project, we studied cortical myelin in living humans at the spatial scale of cortical columns using high-resolution quantitative magnetic resonance imaging (MRI) methods at 7 T.

Quantification of transverse relaxation times of human cortical and subcortical structures in vivo at 7T

Bio-physical modelling Image-processing MR-physics Validation and Application

Transverse relaxation parameters are quantified in vivo for different cortical structures of the human brain at ultra-high field strength.

Differences in cortical and white matter myelination

Validation and Application

We explore spatially resolved lipid imaging using matrix-assisted laser desorption/ionization (MALDI) as a method for validating MRI-based myelin biomarkers.

Relating layer-specific quantitative 7T MRI to histology, gene expression and connectomics

Neuroanatomy Validation and Application

We investigate the relationship between quantitative MRI (qMRI) at different cortical depths and cell counts, gene expression and white matter connections in the brain in order to provide novel biomarkers for tracking neurodegenerative diseases.

A multi-modal approach to in vivo U-fibre mapping in the early visual processing stream

Neuroanatomy Validation and Application

Robust U-fibre connectivity mapping can be achieved in vivo in the early visual processing stream using combined diffusion weighted imaging and functional retinotopy

Cortical myelination in chimpanzees

Neuroanatomy Validation and Application

In this project, we investigate the brains of wild chimpanzees who died of natural causes at different developmental stages using high-resolution quantitative MRI and histology.

Image detail: Activation maps acquired with and without an MT-pulse

First Experience with Arterial Blood Contrast (ABC) fMRI in the Human Motor Cortex at 7 Tesla

MR-physics Validation and Application

Using a field strength of 7 Tesla, the "Arterial Blood Contrast" (ABC), which is based on the Magnetization Transfer effect, could be measured with an isotropic spatial resolution of 1.5 mm in combination with a conventional functional MRI contrast.

Evaluating different k-space undersampling schemes with iterative and deep learning image reconstruction for fast multi-parameter mapping (MPM)

Image-processing MR-physics

DeepcomplexMRI deep learnig reconstruction has been modified to process multi-echo MRI images. First results for different undersampling strategies suggest that performance is comparable to modern iterative algorithms like ENLIVE while taking only about 5 minutes to reconstruct a full 3D 1mm³/voxel resolved head image stack.