Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
  Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben
Meeting Abstract

Iron-induced relaxation mechanisms in the human substantia nigra: Towards quantifying iron load in dopaminergic neurons

MPG-Autoren
/persons/resource/persons227171

Brammerloh,  Malte
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Faculty of Physics and Earth Sciences, Leipzig University;

/persons/resource/persons226760

Gavriilidis,  Filippos
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons201756

Scherf,  Nico
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons147461

Weiskopf,  Nikolaus
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Faculty of Physics and Earth Sciences, Leipzig University;

/persons/resource/persons180061

Kirilina,  Evgeniya
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Center for Cognitive Neuroscience Berlin, Freie Universität Berlin;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)

ismrm-2018-abstract.pdf
(Verlagsversion), 496KB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Brammerloh, M., Weigelt, I., Arendt, T., Gavriilidis, F., Scherf, N., Jankuhn, S., et al. (2018). Iron-induced relaxation mechanisms in the human substantia nigra: Towards quantifying iron load in dopaminergic neurons. In Proceedings of the ISMRM 26th Annual Meeting & Exhibition.


Zitierlink: https://hdl.handle.net/21.11116/0000-0004-C222-A
Zusammenfassung
Pathological iron accumulation in the human brain is a biomarker for neurodegeneration. Several diagnostically promising MR-
based methods for in vivo iron quantification were proposed, based on the empirical relationship between R 2 * and iron
concentration. However, these do not account for different chemical forms and cellular distribution of iron. We combined post
mortem MRI, advanced quantitative histology and biophysical modeling to develop a generative theory linking obtained iron
concentrations to quantitative MR parameters. The impact of nanoscale molecular interaction of water with iron and of iron-rich
dopaminergic neurons was quantified in substantia nigra.