Comput Methods Programs Biomed - Determination of ECoG information flow activity based on Granger causality and Hilbert transformation.


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Analysis of directional information flow patterns among different regions of the brain is important for investigating the relation between ECoG (electrocorticographic) and mental activity. The objective is to study and evaluate the information flow activity at different frequencies in the primary motor cortex. We employed Granger causality for capturing the future state of the propagation path and direction between recording electrode sites on the cerebral cortex. A grid covered the right motor cortex completely due to its size (approx. 8 cm?8 cm) but grid area extends to the surrounding cortex areas. During the experiment, a subject was asked to imagine performing two activities: movement of the left small finger and/or movement of the tongue. The time series of the electrical brain activity was recorded during these trials using an 8?8 (0.016-300 Hz band with) ECoG platinum electrode grid, which was placed on the contralateral (right) motor cortex. For detection of information flow activity and communication frequencies among the electrodes, we have proposed a method based on following steps: (i) calculation of analytical time series such as amplitude and phase difference acquired from Hilbert transformation, (ii) selection of frequency having highest interdependence for the electrode pairs for the concerned time series over a sliding window in which we assumed time series were stationary, (iii) calculation of Granger causality values for each pair with selected frequency. The information flow (causal influence) activity and communication frequencies between the electrodes in grid were determined and shown successfully. It is supposed that information flow activity and communication frequencies between the electrodes in the grid are approximately the same for the same pattern. The successful employment of Granger causality and Hilbert transformation for the detection of the propagation path and direction of each component of ECoG among different sub-cortex areas were capable of determining the information flow (causal influence) activity and communication frequencies between the populations of neurons successfully.

Resumo Limpo

analysi direct inform flow pattern among differ region brain import investig relat ecog electrocorticograph mental activ object studi evalu inform flow activ differ frequenc primari motor cortex employ granger causal captur futur state propag path direct record electrod site cerebr cortex grid cover right motor cortex complet due size approx cm cm grid area extend surround cortex area experi subject ask imagin perform two activ movement left small finger andor movement tongu time seri electr brain activ record trial use hz band ecog platinum electrod grid place contralater right motor cortex detect inform flow activ communic frequenc among electrod propos method base follow step calcul analyt time seri amplitud phase differ acquir hilbert transform ii select frequenc highest interdepend electrod pair concern time seri slide window assum time seri stationari iii calcul granger causal valu pair select frequenc inform flow causal influenc activ communic frequenc electrod grid determin shown success suppos inform flow activ communic frequenc electrod grid approxim pattern success employ granger causal hilbert transform detect propag path direct compon ecog among differ subcortex area capabl determin inform flow causal influenc activ communic frequenc popul neuron success

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