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Title: | Hierarchical disruption in the Bayesian brain: Focal epilepsy and brain networks. | Austin 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 | Date: | 2017-05-26 | Publication information: | 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: | https://ahro.austin.org.au/austinjspui/handle/1/17491 | DOI: | 10.1016/j.nicl.2017.05.019 | Journal: | NeuroImage. Clinical | 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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