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Spatio-temporal Granger causality : a new framework
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Luo, Qiang, Lu, Wenlian, Cheng, Wei, Valdes-Sosa, Pedro A., Wen, Xiaotong, Ding, Mingzhou and Feng, Jianfeng (2013) Spatio-temporal Granger causality : a new framework. NeuroImage, Volume 79 . pp. 241-263. doi:10.1016/j.neuroimage.2013.04.091 ISSN 1053-8119.
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Official URL: http://dx.doi.org/10.1016/j.neuroimage.2013.04.091
Abstract
That physiological oscillations of various frequencies are present in fMRI signals is the rule, not the exception. Herein, we propose a novel theoretical framework, spatio-temporal Granger causality, which allows us to more reliably and precisely estimate the Granger causality from experimental datasets possessing time-varying properties caused by physiological oscillations. Within this framework, Granger causality is redefined as a global index measuring the directed information flow between two time series with time-varying properties. Both theoretical analyses and numerical examples demonstrate that Granger causality is a monotonically increasing function of the temporal resolution used in the estimation. This is consistent with the general principle of coarse graining, which causes information loss by smoothing out very fine-scale details in time and space. Our results confirm that the Granger causality at the finer spatio-temporal scales considerably outperforms the traditional approach in terms of an improved consistency between two resting-state scans of the same subject. To optimally estimate the Granger causality, the proposed theoretical framework is implemented through a combination of several approaches, such as dividing the optimal time window and estimating the parameters at the fine temporal and spatial scales. Taken together, our approach provides a novel and robust framework for estimating the Granger causality from fMRI, EEG, and other related data.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Centre for Scientific Computing | ||||
Journal or Publication Title: | NeuroImage | ||||
Publisher: | Elsevier | ||||
ISSN: | 1053-8119 | ||||
Official Date: | 2013 | ||||
Dates: |
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Volume: | Volume 79 | ||||
Page Range: | pp. 241-263 | ||||
DOI: | 10.1016/j.neuroimage.2013.04.091 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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