Project information

Advanced MR methods for characterization of microstructural brain damage (MICROBRADAM) (MICROBRADAM)

Investor logo
Project Identification
691110
Project Period
11/2015 - 10/2019
Investor / Pogramme / Project type
European Union
MU Faculty or unit
Central European Institute of Technology
Cooperating Organization
St. Anne's University Hospital Brno
CENTRO FERMI

NMR (Nuclear Magnetic Resonance)-based approaches have affirmed as extremely valuable for applications in neurosciences. Nonetheless, the exquisite flexibility of tissue contrast in magnetic resonance imaging (MRI) that can be obtained by proper manipulation of nuclear spins still offers room for technological improvements which can be quickly expanded to clinical routine. In particular, there is extreme need of imaging methods that allow a correct assessment of microstructural damage in many brain diseases, including – but not limited to – neurodegenerative diseases. Indeed, current MRI techniques suffer from poor specificity and ultimately lack the ability to identify the microscopic biophysical and biological mechanisms related to the specific features of the pathology.
This project aims at expanding the set of MR based techniques available to neuroscientists to characterize microstructural damage, assessing the usefulness of these approaches in some specific pathologies where they offer more promise. Notably, this project aims also at establishing the increased specificity and sensitivity of newly developed and current techniques when merged in a truly multiparametric analysis approach.
This project is heavily based on networking activities for exchanging the complimentary knowledge available at the different world-class academic and commercial EU and third country sites. The novel MRI pulse sequences and data analyses approaches tested and validated during the course of the project will be available at each site of the consortium, and will be made available to the scientific community as well.

Publications

Total number of publications: 3