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Projekt Druckansicht

Data Analysis and Statistical Modelling of Dynamical Processes in Neurology

Fachliche Zuordnung Epidemiologie und Medizinische Biometrie/Statistik
Förderung Förderung von 2005 bis 2011
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 5444124
 
Numerous clinical phenomena in neurology are of dynamic oscillatory nature and are caused by interacting subsystems. Analyzing the individual time series and the detection of the network structure of such subsystems allows for an understanding of the underlying processes in the healthy and the diseased state. This project aims to develop and apply mathematical methods in order to infer from measured time series the dynamic properties of the subsystems and their interactions. The development of the mathematical methods will be driven by the challenges in data analysis posed by the clinical applications. Additionally, the application of the developed methods is expected to enhance clinical understanding, provide diagnostic and prognostic factors and eventually guide treatment strategies.
DFG-Verfahren Sachbeihilfen
Beteiligte Person Professor Dr. Björn Schelter
 
 

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