Cited by 192Schizophrenia research and treatmentVisual perception and processing mechanismsHallucinations in medical conditions

Understanding why patients with schizophrenia do not perceive the hollow-mask illusion using dynamic causal modelling

Dima, Danai, Roiser, Jonathan P., Dietrich, Detlef E., Bonnemann, Catharina, Lanfermann, Heinrich, Emrich, Hinderk M., Dillo, Wolfgang·2009·NeuroImage

Abstract

Patients suffering from schizophrenia are less susceptible to various visual illusions. For example, healthy participants perceive a hollow mask as a normal face, presumably due to the strength of constraining top-down influences, while patients with schizophrenia do not (Schneider, U., Leweke, F.M., Sternemann, U., Weber, M.M., Emrich, H.M., 1996. Visual 3D illusion: a systems-theoretical approach to psychosis. Eur. Arch. Psychiatry Clin. Neurosci. 246, 256-260; Scheider, U., Borsutzky, M., Seifert, J., Leweke, F.M., Huber, T.J., Rollnik J.D., Emrich, H.M., 2002. Reduced binocular depth inversion in schizophrenic patients. Schizophrenia Research 53, 101-108.; Emrich, H.M., Leweke, F.M., Schneider, U., 1997. Towards a cannabinoid hypothesis of schizophrenia: cognitive impairments due to a dysregulation of the endogenous cannabinoid system. Pharmacol. Biochem. Behav. 56, 803-807). However the neural mechanisms underpinning this effect remain poorly understood. We used functional magnetic resonance imaging to investigate the hollow-mask illusion in schizophrenic patients and healthy controls. The primary aim of this study was to use measures of effective connectivity arising from dynamic causal modelling (DCM) to explain differences in both the perception of the hollow-mask illusion and associated differences in neural responses between patients with schizophrenia and controls, which we hypothesised would be associated with difference in the influences of top-down and bottom-up processes between the groups. Consistent with this explanation, we identified differences between the two groups in effective connectivity. In particular, there was a strengthening of bottom-up processes, and weakening of top-down ones, during the presentation of 'hollow' faces for the patients. In contrast, the controls exhibited a strengthening of top-down processes when perceiving the same stimuli. These findings suggest that schizophrenic patients rely on stimulus-driven processing and are less able to employ conceptually-driven top-down strategies during perception, where incoming sensory data are constrained with reference to a generative model that entails stored information from past experience.

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2009.03.033

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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., 2009

  • 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., 2009

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Dima, D., Roiser, J. P., Dietrich, D. E., Bonnemann, C., Lanfermann, H., Emrich, H. M., & Dillo, W.
Affiliations
  • Medizinische Hochschule Hannover (DE)
  • University College London (GB)
Corresponding author
Dima, Danai
Venue
NeuroImage
Publisher
Elsevier BV
Published
2009-07
Volume
46
Issue
4
Pages
1180-1186
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2120794957
Cited by
192
References
41
Citations by year
2026: 2 · 2025: 8 · 2024: 8 · 2023: 29 · 2022: 13 · 2021: 6 · 2020: 13 · 2019: 4 · 2018: 12 · 2017: 13 · 2016: 15 · 2015: 17 · 2014: 12 · 2013: 16 · 2012: 11
FWCI
4.93
Type
journal article
Language
en
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Hallucinations in medical conditions
Keywords
schizophrenia, visual perception, top-down processing, bottom-up processing, effective connectivity, dynamic causal modeling, stereopsis, optical illusions, generative models
MeSH terms
Adult, Face, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Pattern Recognition, Visual, Schizophrenia

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review