Early diagnosis of Alzheimer`s disease using resting state fMRIEarly diagnosis of Alzheimer's disease and monitoring of
disease
progression require the investigation of different potential
biomarkers, including cerebrospinal fluid (CSF), positron
emission
tomography (PET), structural magnetic resonance imaging
(sMRI) and
functional magnetic resonance imaging (fMRI). This project
uses
resting state functional MR images to differentiate healthy
patients
from those at risk of developing Alzheimer's disease. During
a resting
state fMRI scan a patient lies inside an MR scanner for
about 10
minutes and performs no task. About every 2 seconds, a
functional MR
image is acquired which, at the end of the scan, results in
a 3D movie
showing activity of the resting brain.Different areas of the brain show a degree of coherence in
their
resting state signals that closely resembles the functional
connectivity found using task based experiments. Our goal is
to find
characteristics in the brain connectivity obtained from
resting state
fMRI scans that make it possible to predict, years before
the first
symptoms become apparent, whether a person will develop
Alzheimer's
disease or not.
| Project manager:
PD Dr. rer. nat. Björn Heismann, Prof. Dr.-Ing. Joachim Hornegger, Prof. Dr. med. Johannes Kornhuber
Project participants:
Klaus Sembritzki, M. Sc.
Keywords:
Resting state;fMRI;funktionelle;Magnetresonanztomographie;Magnetresonanz;MR;MRI;Alzheimer; Krankheit
Duration: 1.9.2011 - 31.8.2014
Sponsored by:
Siemens AG, Healthcare Sector
Mitwirkende Institutionen:
Psychiatrische und Psychotherapeutische Klinik, Friedrich-Alexander-Universität Erlangen-Nürnberg
Contact:
Sembritzki, Klaus
Phone +49 9131 85 27882, Fax +49 9131 85 27270, E-Mail: klaus.sembritzki@cs.fau.de
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