TY - GEN
T1 - Exploratory analysis of time-varying functional connectivity in a visual task
AU - Wong, Jingjun
AU - Zhang, Zhiguo
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/14
Y1 - 2015/7/14
N2 - Functional magnetic resonance imaging (fMRI) has become a common tool in investigating brain activities on human subjects. Although each region of the brain was thought to be independent and responsible only for particular tasks and specialized functions, recent studies have shown that different regions of the brain interact with each other in performing specific tasks or even during the resting state. However, the temporal variations in functional connectivity have been largely overlooked by most studies. This study aims to explore time-varying properties of functional connectivity through comparing results from different correlation and regression analysis methods on a sample set of fMRI data acquired from a visual task. The results clearly show that functional connectivity in the visual task is transient, which suggests that simply assuming a sustained connectivity change during task period might not be sufficient to capture dynamic functional connectivity changes induced by tasks.
AB - Functional magnetic resonance imaging (fMRI) has become a common tool in investigating brain activities on human subjects. Although each region of the brain was thought to be independent and responsible only for particular tasks and specialized functions, recent studies have shown that different regions of the brain interact with each other in performing specific tasks or even during the resting state. However, the temporal variations in functional connectivity have been largely overlooked by most studies. This study aims to explore time-varying properties of functional connectivity through comparing results from different correlation and regression analysis methods on a sample set of fMRI data acquired from a visual task. The results clearly show that functional connectivity in the visual task is transient, which suggests that simply assuming a sustained connectivity change during task period might not be sufficient to capture dynamic functional connectivity changes induced by tasks.
KW - Kalman filtering
KW - functional connectivity
KW - functional magnetic resonance imaging
KW - time-varying signal processing
UR - https://www.scopus.com/pages/publications/84943181851
U2 - 10.1109/CIVEMSA.2015.7158633
DO - 10.1109/CIVEMSA.2015.7158633
M3 - 会议稿件
AN - SCOPUS:84943181851
T3 - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
BT - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015
Y2 - 12 June 2015 through 14 June 2015
ER -