Cited by 122Schizophrenia research and treatmentFunctional Brain Connectivity StudiesVisual perception and processing mechanisms

Impaired top-down processes in schizophrenia: a DCM study of ERPs

Dima, Danai, Dietrich, Detlef E., Dillo, Wolfgang, Emrich, Hinderk M.·2010·NeuroImage

Abstract

Perception is not simply based on a hierarchical organization of the brain; it arises from an interplay between inputs from the environment and internal predictions of these inputs. It is an active process which involves an interaction between bottom-up information coming from the senses and feedback connections coming from higher-order cortical areas. In our experiment, we use the hollow-mask illusion to investigate the strength of top-down processes in schizophrenic patients and healthy controls. By using dynamic causal modelling (DCM) on functional magnetic resonance tomography (fMRI) data, we have presented evidence to suggest that patients with schizophrenia are less constrained by top-down processes during perception (Dima, D., Roiser, J.P., Dietrich, D.E., Bonnemann, C., Lanfermann, H., Emrich, H.M., Dillo, W., 2009. Understanding why patients with schizophrenia do not perceive the hollow-mask illusion using dynamic causal modeling. Neuroimage 46, 1180-1186). In this study, we re-address this issue by using DCM on event-related potentials (ERPs) data. Our aim was to validate our previous findings by conducting the same connectivity analysis--DCM--on data obtained from a different neuroimaging method. Our results confirm our initial hypothesis that top-down influences are constrained in schizophrenia, especially in perceptual tasks that require top-down control, like the hollow-mask illusion.

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Crossref · 10.1016/j.neuroimage.2009.12.086

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  • In healthy controls, a model with connectivity modulation from higher-level areas to V1 better accounted for data, whereas in schizophrenia patients DCM revealed a reverse pattern with predominance of feedforward modulation.

    “While a model that places connectivity modulation from the higher-level areas to the primary visual cortex (i.e., V1) better accounted for healthy control data, the DCM revealed a reverse pattern in schizophrenia patients (i.e., the predominance of the feedforward modulation).”

    From What visual illusions teach us about schizophrenia (2014) · cites this paper as Dima et al., 2010

  • Dima et al. showed a significant between-group difference in effective connectivity patterns during the visual illusion task.

    “Using dynamic causal modeling (DCM), the authors notably showed a significant between-group difference in the effective connectivity patterns measured during the VI task.”

    From What visual illusions teach us about schizophrenia (2014) · cites this paper as Dima et al., 2010

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Authors
Dima, D., Dietrich, D. E., Dillo, W., & Emrich, H. M.
Affiliations
  • King's College London (GB)
  • Medizinische Hochschule Hannover (DE)
Corresponding author
Dima, Danai
Venue
NeuroImage
Publisher
Elsevier BV
Published
2010-09
Volume
52
Issue
3
Pages
824-832
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2039485169
Cited by
122
References
76
Citations by year
2026: 4 · 2025: 5 · 2024: 5 · 2023: 4 · 2022: 9 · 2021: 9 · 2020: 9 · 2019: 6 · 2018: 12 · 2017: 7 · 2016: 12 · 2015: 12 · 2014: 10 · 2013: 7 · 2012: 6
FWCI
3.93
Type
journal article
Language
en
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion)
Funders
Marie Curie Early Stage Training Fellowship of the European Community's Sixth Framework Programme (MEST-CT-2005-021014)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Keywords
schizophrenia, top-down control, event-related potentials, dynamic causal modeling, perceptual illusions, feedback connections, neuronal connectivity
MeSH terms
Adult, Brain, Evoked Potentials, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Models, Neurological, Schizophrenia, Visual Perception

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