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Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.

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MINDS SEMINAR

MINDS Seminar Series | Moo Kyung Chung (University of Wisconsin-Madison) - Topological State-Space Estimation of Dynamically Changing Functional Brain Networks

MINDS SEMINAR
period : 2023-08-11 ~ 2023-08-11
time : 16:00:00 ~ 18:00
개최 장소 : Math Bldg 404 & Online streaming (Zoom)
Topic : Topological State-Space Estimation of Dynamically Changing Functional Brain Networks
개요
Date 2023-08-11 ~ 2023-08-11 Time 16:00:00 ~ 18:00
Speaker Moo Kyung Chung Affiliation University of Wisconsin-Madison
Place Math Bldg 404 & Online streaming (Zoom) Streaming link ID : 688 896 1076 / PW : 54321
Topic Topological State-Space Estimation of Dynamically Changing Functional Brain Networks
Contents We introduce a novel data-driven topological approach for the estimation of state spaces in dynamically changing functional brain networks of humans. The approach penalizes the topological distance between networks, clustering them into topologically distinct states. The method incorporates the temporal aspect of the data by using the Wasserstein distance, probabilistic version of optimal transport, between networks at different time points. The approach has shown to outperform the widely used k-means clustering, which is commonly applied in the state space estimation in brain networks. The method enables the precise determination of the state spaces in brain networks from resting-state functional magnetic resonance imaging (rs-fMRI). We also address the intriguing question of whether the overall topology of brain networks is genetically heritable through a twin brain imaging study. The talk is based on arXiv:2201.00087
MinDS MinDS · 2023-08-07 09:17 · Views 402

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