The dysconnection hypothesis (2016)

Schizophr Res. 2016 Oct;176(2-3):83-94. doi: 10.1016/j.schres.2016.07.014. Epub 2016 Jul 20.


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.

Keywords: Bayesian; Dysconnection; Neurogenetics; Neuromodulation; Predictive coding; Schizophrenia.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Brain / diagnostic imaging
  • Brain / physiopathology
  • Humans
  • Models, Neurological*
  • Schizophrenia / diagnostic imaging
  • Schizophrenia / genetics
  • Schizophrenia / physiopathology*