Friston, K;
Brown, HR;
Siemerkus, J;
Stephan, KE;
(2016)
The dysconnection hypothesis (2016).
Schizophrenia research
, 176
(2-3)
pp. 83-94.
10.1016/j.schres.2016.07.014.
Preview |
Text
1-s2.0-S0920996416303310-main.pdf - Published Version Download (897kB) | Preview |
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.
| Type: | Article |
|---|---|
| Title: | The dysconnection hypothesis (2016) |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.schres.2016.07.014 |
| Publisher version: | http://dx.doi.org/10.1016/j.schres.2016.07.014 |
| Language: | English |
| Additional information: | © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Psychiatry, Schizophrenia, Dysconnection, Neuromodulation, Bayesian, Predictive coding, Neurogenetics, NMDA RECEPTOR HYPOFUNCTION, 22Q11.2 DELETION SYNDROME, GENOME-WIDE ASSOCIATION, DE-NOVO MUTATIONS, MISMATCH NEGATIVITY, FUNCTIONAL CONNECTIVITY, PREFRONTAL CORTEX, MOUSE MODEL, FREE-ENERGY, CONNECTIONIST APPROACH |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1506355 |
Archive Staff Only
 |
View Item |
