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The dysconnection hypothesis (2016)

Friston, Karl; Brown, Harriet R; Siemerkus, Jakob; Stephan, Klaas E (2016). The dysconnection hypothesis (2016). Schizophrenia Research, 176(2-3):83-94.

Abstract

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Scopus Subject Areas:Health Sciences > Psychiatry and Mental Health
Life Sciences > Biological Psychiatry
Uncontrolled Keywords:Schizophrenia, Dysconnection, Neuromodulation, Bayesian, Predictive coding, Neurogenetics
Language:English
Date:2016
Deposited On:10 Aug 2016 11:56
Last Modified:15 Aug 2024 01:41
Publisher:Elsevier
ISSN:0920-9964
OA Status:Hybrid
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1016/j.schres.2016.07.014
Official URL:http://www.sciencedirect.com/science/article/pii/S0920996416303310
PubMed ID:27450778
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