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Activity Number:
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236
- New Developments in Integrated Analysis of Complex Data from Multiple Sources
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Type:
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Topic-Contributed
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Date/Time:
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Wednesday, August 11, 2021 : 10:00 AM to 11:50 AM
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Sponsor:
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Biometrics Section
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Abstract #317092
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Title:
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Identifying Temporal Pathways Using High-Dimensional Biomarkers
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Author(s):
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Shanghong Xie * and Donglin Zeng and Yuanjia Wang
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Companies:
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Columbia Unviersity and UNC Chapel Hill and Columbia University
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Keywords:
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Network analysis;
fMRI
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Abstract:
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Temporal causal pathways may exist among biomarkers. If one biomarker was modified by external stimulations at time t, the other biomarkers may change at time (t+1). In this work, we propose a novel method to identify latent intervenable causal pathways using high-dimensional temporal biomarkers. The model adjusts for the endogenous components that are non-intervenable and separates the temporal causal network from the contemporaneous network. We demonstrate our method by extensive simulations and an application to a study of attention-deficit/hyperactivity disorder (ADHD) using functional magnetic resonance imaging (fMRI) data to analyze the causal relationships between brain biomarkers.
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Authors who are presenting talks have a * after their name.
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