Dynamic Causal Models for phase coupling

Penny, W D ORCID: https://orcid.org/0000-0001-9064-1191, Litvak, V, Fuentemilla, L, Duzel, E and Friston, K (2009) Dynamic Causal Models for phase coupling. Journal of Neuroscience Methods, 183 (1). pp. 19-30. ISSN 0165-0270

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Abstract

This paper presents an extension of the Dynamic Causal Modelling (DCM) framework to the analysis of phase-coupled data. A weakly coupled oscillator approach is used to describe dynamic phase changes in a network of oscillators. The use of Bayesian model comparison allows one to infer the mechanisms underlying synchronization processes in the brain. For example, whether activity is driven by master-slave versus mutual entrainment mechanisms. Results are presented on synthetic data from physiological models and on MEG data from a study of visual working memory.

Item Type:	Article
Uncontrolled Keywords:	brain,computer simulation,cortical synchronization,humans,magnetoencephalography,short-term memory,biological models,nerve net,neurons,nonlinear dynamics
Faculty \ School:	Faculty of Social Sciences > School of Psychology
UEA Research Groups:	Faculty of Social Sciences > Research Centres > Centre for Behavioural and Experimental Social Sciences
Depositing User:	Pure Connector
Date Deposited:	22 Aug 2017 06:35
Last Modified:	20 Apr 2023 00:32
URI:	https://ueaeprints.uea.ac.uk/id/eprint/64613
DOI:	10.1016/j.jneumeth.2009.06.029

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