Investigating causality between interacting brain areas with multivariate autoregressive models of MEG sensor data
Berlin : Springer
InWang, R.; Gu, F. (ed.), Advances in cognitive neurodynamics (II): Proceedings of the Second International Conference on Cognitive Neurodynamics - 2009, pp. 361-370
Second International Conference on Cognitive Neurodynamics - 2009
Article in monograph or in proceedings
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PI Group Neurobiology of Language
Wang, R.; Gu, F. (ed.), Advances in cognitive neurodynamics (II): Proceedings of the Second International Conference on Cognitive Neurodynamics - 2009
In this work we investigate the feasibility of building a MAR model directly on MEG sensor measurements and projecting the model in brain locations where causality is calculated through Partial Directed Coherence (PDC). This method overcomes the problems of model non-robustness and large computation times encountered during causality analysis by existing methods, which first project entire MEG sensor time-series into a large number of brain locations and then the MAR model is built on this large number of time-series.
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