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Activity Number:
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171
- SPAAC Poster Competition
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 4, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Mental Health Statistics Section
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Abstract #313745
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Title:
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Community Detection and Inference in Multi-Layer Networks with Applications to Schizophrenia
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Author(s):
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Anirban Mitra* and Satish Iyengar and Jonathan Rubin and Nicholas Theis and Konasale Prasad
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Companies:
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University of Pittsburgh and University of Pittsburgh and University of Pittsburgh and University of Pittsburgh Medical Center and University of Pittsburgh Medical Center
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Keywords:
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Community detection;
Inference;
Network;
Multiplex;
DTI;
fMRI
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Abstract:
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Networks have recently become a very common tool in neuroscience. The increase in computational power during the last decade has enabled us to use multi-layer networks for efficient community detection. Here we propose a lag-based measure to identify delay in and direction of information flow from functional Magnetic Resonance Imaging (fMRI) data. We then combine this with fiber track data from Diffusion Tensor Imaging (DTI) into different layers to identify clusters of brain regions of interest for inferring differences between healthy controls and schizophrenic patients. We apply different clustering techniques for detecting communities in multiplexes with both weighted and unweighted edges. After community detection we study differences in connectivity between healthy brains, high risks and schizophrenic brains with respect to the identified clusters and identify homogeneous subgroups of subjects within each group.
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Authors who are presenting talks have a * after their name.
