Abstract
Temporal self-correlation has recently been proposed as a measure for fMRI-activation detection. In this paper, a modified temporal self-correlation method is introduced. The modified temporal self-correlation is based on the expectation value and standard deviation of the correlation coefficients between all pairs of epochs, while the original temporal self-correlation method is only based on the expectation value. Performance of the proposed method is evaluated on both simulated and in vivo fMRI data. Compared with the original temporal self-correlation method, the proposed method shows a significant improvement. In addition, a technique for quantitative comparison of different fMRI data analysis methods is proposed.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Bandettini P. A., Wong E. C., Hinks R. S., Tikofsky R. S. and Hyde, J. S. (1992) Time course EPI of human brain function during task activation. Magn. Reson. Med. 25, 390–397.
Belliveau J. W., Kennedy D. N., McKinstry R. C., et al. (1991) Functional mapping of the human visual cortex by magnetic resonance imaging. Science 254, 716–719.
Clare S., Humberstone M., Hykin J., Blumhardty L.D., Bowtell R., and Morris P. (1999) Detecting activations in event-related fMRI using analysis of variance. Magn. Reson. Med. 42, 1117–1122.
Frackowiak R. S. J., Friston K. J., Frith C. D., Dolan R. J. and Mazziotta J.C. (1997) Human Brain Function. Academic Press, USA. pp. 43–58.
Goutte C., Toft P., Rostmp E., Nielsen F., and Hansen L. K. (1999) On clustering fMRI time series, NeuroImage. 3, 298–310.
Kwong K. K., Belliveau J. W., Chesler D. A., et al. (1992) Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proc. Natl. Acad. Sci. 89, 5675–5679.
Lai S. H., Fang M. (1999) A novel local PCA-based method for detecting activation signals in fMRI. Magn. Reson. Imag. 17, 827–836.
Mckeown M. J., Makeig S., Brown G. G., et al. (1998) Analysis of fMRI data by blind separation into independent spatial components. Hum. Brain Mapp. 6, 160–188.
Ngan S. C., Auffermann W. F., Sarkar S., and Hu X. (2001) Activation detection in event-related fMRI data based on spatio-temporal properties, Magn. Reson. Imag. 19, 1149–1158.
Ogawa S., Lee T. M., Kay A. R., and Tank D. W. (1990) Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc. Natl. Acad. Sci. 87, 9868–9872.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lu, Y., Zang, Y. & Jiang, T. A modified temporal self-correlation method for analysis of fMRI time series. Neuroinform 1, 259–269 (2003). https://doi.org/10.1385/NI:1:3:259
Issue Date:
DOI: https://doi.org/10.1385/NI:1:3:259