TY - GEN
T1 - Circular pearson correlation using cosine series expansion
AU - Huang, Shih Gu
AU - Gritsenko, Andrey
AU - Lindquist, Martin A.
AU - Chung, Moo K.
N1 - Funding Information:
Correspondence should be sent to Moo Chung (email: mkchung@wisc.edu). This study was funded by NIH Grant EB022856.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - In resting-state fMRI, there is no external anchor that will lock brain activation across voxels. Thus, correlation of fMRI time series between voxels is often done by computing coherence in the frequency domain. However, such approach ignores the time lag of fMRI time series across voxels. To address the problem, we propose to use the concept of circular Pearson correlation in determining the time lag, which locks the time series, and the maximum correlation at locking. We further express the circular Pearson correlation analytically in terms of cosine series expansion. The proposed method is applied to 208 twin pairs to determine if the time lag and the maximum correlation are heritable genetic features.
AB - In resting-state fMRI, there is no external anchor that will lock brain activation across voxels. Thus, correlation of fMRI time series between voxels is often done by computing coherence in the frequency domain. However, such approach ignores the time lag of fMRI time series across voxels. To address the problem, we propose to use the concept of circular Pearson correlation in determining the time lag, which locks the time series, and the maximum correlation at locking. We further express the circular Pearson correlation analytically in terms of cosine series expansion. The proposed method is applied to 208 twin pairs to determine if the time lag and the maximum correlation are heritable genetic features.
UR - http://www.scopus.com/inward/record.url?scp=85073907462&partnerID=8YFLogxK
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U2 - 10.1109/ISBI.2019.8759319
DO - 10.1109/ISBI.2019.8759319
M3 - Conference contribution
AN - SCOPUS:85073907462
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1774
EP - 1777
BT - ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
T2 - 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
Y2 - 8 April 2019 through 11 April 2019
ER -