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Max Planck Institute for Human Cognitive and Brain Sciences

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Neurophysics
Research
Quantification of transverse relaxation times

Publications of Hendrik Hartmann

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Journal Article (6)
Talk (1)
Poster (12)
Thesis - PhD (1)
Preprint (1)

Preprint (1)

2019

Preprint

Lammert, M.; Morys, F.; Hartmann, H.; Janssen, L.; Horstmann, A.: MIS – a new scoring method for the operation span task that accounts for math, remembered items and sequence. PsyArXiv (2019)

MPG.PuRe

DOI

pre-print

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

Team

Dvir Radunsky

PhD Student

Department of Biomedical Engineering, Tel Aviv University

Dr. Noam Ben-Eliezer

Research group leader

Department of Biomedical Engineering, Tel Aviv University

Professor Dr. Nikolaus Weiskopf

Managing Director +49 341 9940-133 weiskopf@...

Dr. Robert Trampel

Scientific researcher +49 341 9940-2293 +49 341 9940-2448 trampel@...

Other Interesting Articles

Examination of draining vein contributions in GE- and SE-EPI BOLD across cortical depth at 7 T

In this project, we study the resolution limits of different high-resolution functional magnetic resonance imaging (fMRI) methods to resolve differences within the cerebral cortex.

Mapping ocular dominance columns in humans using GE-EPI, SE-EPI and SS-SI VASO at 7 T

MR-physics Validation and Application

fMRI of the Basal Ganglia at 7T using single- and multi-echo protocols

MR-physics

In order to study the Basal Ganglia in relation to cortical areas, the used fMRI protocol has to be carefully adjusted with respect to its region of interest and the necessary signal under-sampling. We performed a study at a field strength of 7 Tesla investigating the dependence of the detected signal on the MR parameters employed.

Organization of the visual cortex

MR-physics Validation and Application

Columnar structures in the human visual cortex are studied using high-resolution fMRI methods in order to localize the actual source of neural processing more precisely.

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.

Multi-Parameter Mapping for the NISCI Multi-Center Clinical Trial

Image-processing MR-physics Validation and Application

Embedded in the clinical trial NISCI (Nogo inhibition in spinal cord injury: www.nisci-2020.eu), we employ whole brain quantitative imaging at 3 Tesla as a new biomarker for de- and regeneration.

Reducing the level of artifacts in quantitative parametric maps

Image-processing MR-physics

We work on improving reliability of quantitative parametric maps by correcting for rigid head motion and B0-fluctuations measured during acquisition at 7T as well as by employing general function approximators to correct for artifacts of unknown origin at 3T.

Illustrates the temporal sequence of the retro-cue paradigm.

Probing the laminar circuitry of the dlPFC during the attentional modulation of working memory

Validation and Application

We used high-resolution fMRI and multivariate pattern analysis (MVPA) to explore how attentional modulation of working memory affects laminar specific representations in dorsolateral prefrontal cortex (dlPFC).

MRI biophysics

Bio-physical modelling MR-physics Neuroanatomy Validation and Application

Understanding brain development and decline is of utmost importance in an aging society. MRI Biophysics Research Group aims to uncover crucial mechanisms of human brain aging, by identifying the contribution of iron accumulation, a major determinant of brain development and brain decline.