Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/17491
Title: Hierarchical disruption in the Bayesian brain: Focal epilepsy and brain networks.
Authors: Omidvarnia, Amir;Pedersen, Mangor;Rosch, Richard E;Friston, Karl J;Jackson, Graeme D
Affiliation: The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
The University of Melbourne, Austin Campus, Heidelberg, Victoria, Australia
The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
Department of Neurology, Austin Health, Heidelberg, Victoria, Australia
Issue Date: 26-May-2017
EDate: 2017-05-26
Citation: NeuroImage. Clinical 2017; 15: 682-688
Abstract: In this opinion paper, we describe a combined view of functional and effective brain connectivity along with the free-energy principle for investigating persistent disruptions in brain networks of patients with focal epilepsy. These changes are likely reflected in effective connectivity along the cortical hierarchy and construct the basis of increased local functional connectivity in focal epilepsy. We propose a testable framework based on dynamic causal modelling and functional connectivity analysis with the capacity of explaining commonly observed connectivity changes during interictal periods. We then hypothesise their possible relation with disrupted free-energy minimisation in the Bayesian brain. This may offer a new approach for neuroimaging to specifically develop and address hypotheses regarding the network pathomechanisms underlying epileptic phenotypes.
URI: http://ahro.austin.org.au/austinjspui/handle/1/17491
DOI: 10.1016/j.nicl.2017.05.019
PubMed URL: 28702345
Type: Journal Article
Subjects: Bayesian inference
Effective connectivity
Focal epilepsy
Free-energy principle
Functional connectivity
Predictive coding
Appears in Collections:Journal articles

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