The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Impaired top-down processes in schizophrenia: A DCM study of ERPs
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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“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
In the citing paper
“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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“Indeed, dynamic causal modeling studies of schizophrenic subjects have already demonstrated changes in effective connectivity consistent with decreased high level – and increased low-level – precision in the hollow mask paradigm (Dima et al., 2009, 2010).”
BackgroundTranslational perspectives for computational neuroimaging
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Advances in the computational understanding of mental illness
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What visual illusions teach us about schizophrenia
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Metadata
- 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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