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Activity Number:
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628
- Complex Data Analysis with Mental Health Applications
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2018 : 8:30 AM to 10:20 AM
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Sponsor:
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Mental Health Statistics Section
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Abstract #329074
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Presentation
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Title:
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Clustered-Temporal Bayesian Model for Brain Connectivity in Neuroimaging Data
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Author(s):
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Nairita Ghosal* and Sanjib Basu
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Companies:
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University of Illinois at Chicago and University of Illinois at Chicago
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Keywords:
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Bayesian modeling;
Autism;
Spatial lattice process;
Brain imaging
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Abstract:
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Functional brain connectivity refers to temporal dependence of activation pattern of brain regions. Functional magnetic resonance imaging (fMRI) measures functional connectivity by observing co-activation pattern of anatomically separated brain regions in resting state. We have applied spatial lattice process to identify clustered brain regions for assessing differences between normal and autistic individuals. As an application we used these models to analyze functional connectivity in Autism Brain Imaging Data Exchange (ABIDE).
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Authors who are presenting talks have a * after their name.
