Abstract Details
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Activity Number:
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157
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 4, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract #311504
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Title:
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Exploring Network Analysis for a Resting-State fMRI Study for Alzheimer Imaging Biomarker Research
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Author(s):
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Yuefeng Lu*+
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Companies:
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Keywords:
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fMRI ;
network analysis ;
neuroimaging ;
biomarker
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Abstract:
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In recent years, there have been rising interests in the applications of the resting-state fMRI (rsfRMI) to detect and evaluate the patterns of functional connectivity. Particularly, rfMRI studies are part of the Alzheimer'd Disease Neuroimaging Initiative (ADNI) to search for imaging biomarkers. The major statistical approaches for the downstream analysis include Seed-based methods, Independent Component Analysis (ICA), and clustering analysis. In this presentation, we explore relatively new approaches of network analysis for group comparison, disease-progress biomarker identification and disease-state classification. Compared to other methods, the network analysis enjoys alleviated multiple-comparison barrier, better interpretability and potentially is more reproducible. We will present the methods and applications to the ADNI rsfMRI study.
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Authors who are presenting talks have a * after their name.
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