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Details of Grant 

EPSRC Reference: EP/D001218/1
Title: System Identification and Signal Processing for Neuro Imaging Data Analysis
Principal Investigator: Zheng, Professor Y
Other Investigators:
Billings, Professor SA Coca, Professor D Mayhew, Professor J
Martindale, Dr AJ
Researcher Co-Investigators:
Project Partners:
Department: Automatic Control and Systems Eng
Organisation: University of Sheffield
Scheme: Standard Research (Pre-FEC)
Starts: 01 May 2006 Ends: 31 October 2009 Value (£): 264,277
EPSRC Research Topic Classifications:
Medical Imaging
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
Panel History:  
Summary on Grant Application Form
Functional Magnetic Resonance Imaging [fMRI] provides observations of the Blood Oxygen Level Dependent [BOLD] signal. fMRI does not measure neural activity directly and hence a core problem is how to interpret the BOLD signal to make inferences about the neural activity and interactions. The main objective of this research proposal is to apply nonlinear signal processing and system identification methods to identify nonlinear mesh models associated with the core mechanisms between activation and flow from data collected across a wide range of stimulus conditions. This is a highly complex and multi-disciplinary project involving neuroscientists, psychologists, and control and systems engineers.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Project URL:  
Further Information:  
Organisation Website: http://www.shef.ac.uk