TY - GEN
T1 - Integrating group-wise functional brain activities via point processes
AU - Jiang, Xi
AU - Lv, Jinglei
AU - Zhu, Dajiang
AU - Zhang, Tuo
AU - Hu, Xintao
AU - Guo, Lei
AU - Liu, Tianming
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - Studying functional brain activities based on analyzing BOLD signals derived from fMRI data has received significant interest in the neuroimaging field. However, there exists considerable variability of BOLD signals for the corresponding brain region of interest (ROI) across different subjects. To extract more reliable and representative information from BOLD signals, in this paper, we propose a novel stochastic group-wise task BOLD information assessment framework. First, each BOLD signal is characterized as a point process. Second, a state-space generalized linear model is built to integrate group-wise point processes of the corresponding ROI across subjects. Third, a dynamics rate function is proposed to assess the stochastic group-wise BOLD information. Our experimental results based on working memory task fMRI data demonstrate that the resulting stochastic group-wise BOLD information is more accurate and informative than the original BOLD signals in each individual subject in terms of more robust response to the task stimulus.
AB - Studying functional brain activities based on analyzing BOLD signals derived from fMRI data has received significant interest in the neuroimaging field. However, there exists considerable variability of BOLD signals for the corresponding brain region of interest (ROI) across different subjects. To extract more reliable and representative information from BOLD signals, in this paper, we propose a novel stochastic group-wise task BOLD information assessment framework. First, each BOLD signal is characterized as a point process. Second, a state-space generalized linear model is built to integrate group-wise point processes of the corresponding ROI across subjects. Third, a dynamics rate function is proposed to assess the stochastic group-wise BOLD information. Our experimental results based on working memory task fMRI data demonstrate that the resulting stochastic group-wise BOLD information is more accurate and informative than the original BOLD signals in each individual subject in terms of more robust response to the task stimulus.
KW - Point process
KW - State-space GLM
KW - Stochastic BOLD information
KW - Task fMRI
UR - http://www.scopus.com/inward/record.url?scp=84927924839&partnerID=8YFLogxK
U2 - 10.1109/isbi.2014.6867959
DO - 10.1109/isbi.2014.6867959
M3 - 会议稿件
AN - SCOPUS:84927924839
T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
SP - 669
EP - 672
BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Y2 - 29 April 2014 through 2 May 2014
ER -