Journal article
The dysconnection hypothesis (2016).
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Friston K
Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UK. Electronic address: k.friston@ucl.ac.uk.
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Brown HR
Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UK; Oxford Centre for Human Brain Activity, University of Oxford, UK.
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Siemerkus J
Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Switzerland; Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland.
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Stephan KE
Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Switzerland.
Published in:
- Schizophrenia research. - 2016
English
Twenty years have passed since the dysconnection hypothesis was first proposed (Friston and Frith, 1995; Weinberger, 1993). In that time, neuroscience has witnessed tremendous advances: we now live in a world of non-invasive neuroanatomy, computational neuroimaging and the Bayesian brain. The genomics era has come and gone. Connectomics and large-scale neuroinformatics initiatives are emerging everywhere. So where is the dysconnection hypothesis now? This article considers how the notion of schizophrenia as a dysconnection syndrome has developed - and how it has been enriched by recent advances in clinical neuroscience. In particular, we examine the dysconnection hypothesis in the context of (i) theoretical neurobiology and computational psychiatry; (ii) the empirical insights afforded by neuroimaging and associated connectomics - and (iii) how bottom-up (molecular biology and genetics) and top-down (systems biology) perspectives are converging on the mechanisms and nature of dysconnections in schizophrenia.
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Language
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Open access status
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hybrid
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Identifiers
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Persistent URL
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https://sonar.ch/global/documents/254038
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