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Uncovering interactions in the frequency domain

By Shuixia Guo, Jianhua Wu, Mingzhou Ding and Jianfeng Feng

Abstract

Oscillatory activity plays a critical role in regulating biological processes at levels ranging from subcellular, cellular, and\ud network to the whole organism, and often involves a large number of interacting elements. We shed light on this issue by\ud introducing a novel approach called partial Granger causality to reliably reveal interaction patterns in multivariate data with\ud exogenous inputs and latent variables in the frequency domain. The method is extensively tested with toy models, and\ud successfully applied to experimental datasets, including (1) gene microarray data of HeLa cell cycle; (2) in vivo multielectrode\ud array (MEA) local field potentials (LFPs) recorded from the inferotemporal cortex of a sheep; and (3) in vivo LFPs\ud recorded from distributed sites in the right hemisphere of a macaque monkey

Topics: QH301
Publisher: Public Library of Science
Year: 2008
OAI identifier: oai:wrap.warwick.ac.uk:4438

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