TY - GEN
T1 - Dynamic Topological Data Analysis for Functional Brain Signals
AU - Songdechakraiwut, Tananun
AU - Chung, Moo K.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank Hernando Ombao of KAUST, Yuan Wang of University of South Carolina, Yasu Wang of Ohio University, Taniguchi Masanobu of Waseda University and other participants of the KAUST workshop on TDA in January 2020 for valuable discussions on the Rips filtration and dynamic-TDA.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2020/7/31
Y1 - 2020/7/31
N2 - We propose a novel dynamic topological data analysis (TDA) framework that builds persistent homology over a time series of 3D functional brain images. The proposed method encodes the time series as a time-ordered sequence of Vietoris-Rips complexes and their corresponding barcodes in studying dynamically changing topological patterns. The method is applied to the resting-state functional magnetic resonance imaging (fMRI) of the human brain. We demonstrate that the dynamic-TDA can capture the topological patterns that are consistently observed across different time points in the resting-state fMRI.
AB - We propose a novel dynamic topological data analysis (TDA) framework that builds persistent homology over a time series of 3D functional brain images. The proposed method encodes the time series as a time-ordered sequence of Vietoris-Rips complexes and their corresponding barcodes in studying dynamically changing topological patterns. The method is applied to the resting-state functional magnetic resonance imaging (fMRI) of the human brain. We demonstrate that the dynamic-TDA can capture the topological patterns that are consistently observed across different time points in the resting-state fMRI.
UR - http://hdl.handle.net/10754/665250
UR - https://ieeexplore.ieee.org/document/9153431/
UR - http://www.scopus.com/inward/record.url?scp=85090403885&partnerID=8YFLogxK
U2 - 10.1109/isbiworkshops50223.2020.9153431
DO - 10.1109/isbiworkshops50223.2020.9153431
M3 - Conference contribution
SN - 9781728174013
BT - 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops)
PB - IEEE
ER -