fMRI-based decoding of the modified default-mode network in mild cognitive impairment

author: Fabian Theis, Institute for Bioinformatics and Systems Biology, Helmholtz Zentrum München - German Research Center for Environmental Health
published: Feb. 25, 2007,   recorded: December 2006,   views: 5862

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The diagnostic tool to detect early stages of Alzheimer’s Disease, a progressive neurodegenerative disease, is lacking until today. FDG-PET (Fluorodeoxyglucose-Positron Emission Tomography) shows hypometabolic areas in the brains of pre-demented, i.e. patients suffering from mild cognitive impairment (MCI). The reduced activity may be attributed to disrupted connectivity of the resting-, or default-mode network of the brain [1]. In this contribution, we study the detection of such a network using the framework of blind signal processing, a technique to identify hidden sources within a multivariate mixture using source characteristics such as statistical independence or sparseness. The results are compared to FDG-PET data.

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