The cross-frequency mediation mechanism of intracortical information transactions
RD Pascual-Marqui, P Faber, S Ikeda, R Ishii, T Kinoshita, Y Kitaura,, K Kochi, P Milz, K Nishida, M Yoshimura

TL;DR
This paper develops a quantitative model using statistical mediation analysis to test the hypothesis that slower oscillations mediate the synchronization of faster oscillations across cortical regions, elucidating intracortical information transfer.
Contribution
It introduces a novel multivariate complex-valued mediation model and a new way to quantify mediation effects using dual frequency RV-coupling coefficients.
Findings
Provides a statistical framework for testing cross-frequency mediation in neural signals.
Quantifies mediation effect as the product of dual frequency RV-coupling coefficients.
Enables testing of the von Stein & Sarnthein hypothesis on cortical oscillation interactions.
Abstract
In a seminal paper by von Stein and Sarnthein (2000), it was hypothesized that "bottom-up" information processing of "content" elicits local, high frequency (beta-gamma) oscillations, whereas "top-down" processing is "contextual", characterized by large scale integration spanning distant cortical regions, and implemented by slower frequency (theta-alpha) oscillations. This corresponds to a mechanism of cortical information transactions, where synchronization of beta-gamma oscillations between distant cortical regions is mediated by widespread theta-alpha oscillations. It is the aim of this paper to express this hypothesis quantitatively, in terms of a model that will allow testing this type of information transaction mechanism. The basic methodology used here corresponds to statistical mediation analysis, originally developed by (Baron and Kenny 1986). We generalize the classical…
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