Granger causality between multiple interdependent neurobiological time series: blockwise versus pairwise methods.

Granger causality between multiple interdependent neurobiological time series: blockwise versus pairwise methods. Research Abstract Details 

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Granger causality between multiple interdependent neurobiological time series: blockwise versus pairwise methods. Abstract Text:

Xue Wang,Yonghong Chen,Steven L Bressler,Mingzhou Ding,

Granger causality is becoming an important tool for determining causal relations between neurobiological time series. For multivariate data, there is often the need to examine causal relations between two blocks of time series, where each block could represent a brain region of interest. Two alternative methods are available. In the pairwise method, bivariate autoregressive models are fit to all pairwise combinations involving one time series from the first block and one from the second. The total Granger causality between the two blocks is then derived by summing pairwise causality values from each of these models. This approach is intuitive but computationally cumbersome. Theoretically, a more concise method can be derived, which we term the blockwise Granger causality method. In this method, a single multivariate model is fit to all the time series, and the causality between the two blocks is then computed from this model. We compare these two methods by applying them to cortical local field potential recordings from monkeys performing a sensorimotor task. The obtained results demonstrate consistency between the two methods and point to the significance potential of utilizing Granger causality analysis in understanding coupled neural systems.

Granger causality between multiple interdependent neurobiological time series: blockwise versus pairwise methods. Publishing Authors By Initials

X Wang,Y Chen,SL Bressler,M Ding,

For similar natural sciences: time research abstracts see: natural sciences: time research

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Granger causality between multiple interdependent neurobiological time series: blockwise versus pairwise methods. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: International journal of neural systems

VOLUME: 17

Page Numbers: 71-8

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ISSN: 0129-0657

DAY: 3

MONTH: Apr

YEAR: 2007

Granger causality between multiple interdependent neurobiological time series: blockwise versus pairwise methods. Information

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LANGUAGE: eng

NlmUniqueID: 9100527

Granger causality between multiple interdependent neurobiological time series: blockwise versus pairwise methods. Keywords Mesh Terms:

KEYWORDS: Time

MESH TERMS: physiology

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Grant and Affiliation Information for Granger causality between multiple interdependent neurobiological time series: blockwise versus pairwise methods.

AFFILIATION: J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, 121 BME Building, Gainesville, FL 32611, USA.

Country: Singapore

AGENCY: United States NIMH

GRANT: MH071620

ACRONYM: MH

MEDLINETA: Int J Neural Syst

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