UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

The functional anatomy of schizophrenia: A dynamic causal modeling study of predictive coding.

Fogelson, N; Litvak, V; Peled, A; Fernandez-Del-Olmo, M; Friston, K; (2014) The functional anatomy of schizophrenia: A dynamic causal modeling study of predictive coding. Schizophr Res , 158 (1-3) pp. 204-212. 10.1016/j.schres.2014.06.011. Green open access

[img]
Preview
PDF
1-s2.0-S0920996414003028-main.pdf

Download (888kB)

Abstract

This paper tests the hypothesis that patients with schizophrenia have a deficit in selectively attending to predictable events. We used dynamic causal modeling (DCM) of electrophysiological responses - to predictable and unpredictable visual targets - to quantify the effective connectivity within and between cortical sources in the visual hierarchy in 25 schizophrenia patients and 25 age-matched controls. We found evidence for marked differences between normal subjects and schizophrenia patients in the strength of extrinsic backward connections from higher hierarchical levels to lower levels within the visual system. In addition, we show that not only do schizophrenia subjects have abnormal connectivity but also that they fail to adjust or optimize this connectivity when events can be predicted. Thus, the differential intrinsic recurrent connectivity observed during processing of predictable versus unpredictable targets was markedly attenuated in schizophrenia patients compared with controls, suggesting a failure to modulate the sensitivity of neurons responsible for passing sensory information of prediction errors up the visual cortical hierarchy. The findings support the proposed role of abnormal connectivity in the neuropathology and pathophysiology of schizophrenia.

Type: Article
Title: The functional anatomy of schizophrenia: A dynamic causal modeling study of predictive coding.
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.schres.2014.06.011
Publisher version: http://dx.doi.org/10.1016/j.schres.2014.06.011
Additional information: © 2014 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/3.0/).
Keywords: Connectivity, Dynamic causal modeling, EEG, Prediction, Schizophrenia
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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/1434620
Downloads since deposit
136Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item