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MVCA
erstellt von Dipl.-Inf. Norman Scheel
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zuletzt verändert:
31.08.2012 09:20
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Dipl.-Inf. Norman ScheelUniversität zu LübeckInstitut für Neuro- und Bioinformatik Ratzeburger Allee 160 (Geb. 64) D-23562 Lübeck Deutschland Tel: +49 451 500 5813
Fax: +49 451 808 5677
norman.scheel(at)neuro.uni-luebeck.de
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Research:
Classification of neurodegenerative brain states based on multivariate fMRI data
In medicine, biomarkers associated with a speficic disease are often used as diagnostic tools. In particular, the intrinsic functional organization of the human brain, assessed by resting-state fMRI, has gained increasing attention. Given the myriad of parameters of spatio-temporal fMRI-data, one major challenge in this research is to find those features that are most predictive for a given disease.
Recently published findings [J. Hagenah, Department of Neurology, University of Lübeck] suggest a possible link between the hyperechogenicity of the Substantia nigra and Parkinsons Disease (PD). So far it has been unknown how this SN-hyperechogenicity relates to neurodegenerative processes in PD. We examine whether differences in SN-echogenicity are associated with differences in local intrinsic functional connectivity as assessed by Multi-Voxel-Connectivity-Analysis (MVCA). Preliminary results suggest that fine-scale connectivity-based classification is possible in single cortical regions. The finding of altered fine-scale connectivity in the olfactory gyrus is particularly interesting, as olfactory deficits are an early indicator for PD.
Recently published findings [J. Hagenah, Department of Neurology, University of Lübeck] suggest a possible link between the hyperechogenicity of the Substantia nigra and Parkinsons Disease (PD). So far it has been unknown how this SN-hyperechogenicity relates to neurodegenerative processes in PD. We examine whether differences in SN-echogenicity are associated with differences in local intrinsic functional connectivity as assessed by Multi-Voxel-Connectivity-Analysis (MVCA). Preliminary results suggest that fine-scale connectivity-based classification is possible in single cortical regions. The finding of altered fine-scale connectivity in the olfactory gyrus is particularly interesting, as olfactory deficits are an early indicator for PD.
Publications
in Press
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Scheel, N., Heldmann, M., Hagenah, J., Al-Khaled, M., Münte, T. F., Madany Mamlouk, A., and Anders, S.:Klassifikation von M. Parkinson-Stadien: globale vs. lokale resting-state Konnektivität: DGKN 2012 Köln, 2012
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Scheel, N., Heldmann, M., Hagenah, J., Münte, T. F., Anders, S., and Madany Mamlouk, A.: Fine-scale resting-state connectivity in Parkinson’s-disease (PD): MDPD 2012 Berlin, 2012
2011
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Eder, R. and Scheel, N.: Development of a device to measure human sound localization. Perceptual and Motor Skills, vol. 113, no. 2, pp. 386-394, 2012/01/11 2011
