Cited by 8Schizophrenia research and treatmentVisual perception and processing mechanismsHallucinations in medical conditions

A neural mechanism underlying predictive visual motion processing in patients with schizophrenia

Open access
Scheliga, Sebastian, Schwank, Rosalie, Scholle, Ruben, Habel, Ute, Kellermann, Thilo·2022·Psychiatry Research

Published version of a preprint

Abstract

Psychotic symptoms may be traced back to sensory sensitivity. Thereby, visual motion (VM) processing particularly has been suggested to be impaired in schizophrenia (SCZ). In healthy brains, VM underlies predictive processing within hierarchically structured systems. However, less is known about predictive VM processing in SCZ. Therefore, we performed fMRI during a VM paradigm with three conditions of varying predictability, i.e., Predictable-, Random-, and Arbitrary motion. The study sample comprised 17 SCZ patients and 23 healthy controls. We calculated general linear model (GLM) analysis to assess group differences in VM processing across motion conditions. Here, we identified significantly lower activity in right temporoparietal junction (TPJ) for SCZ patients. Therefore, right TPJ was set as seed for connectivity analyses. For patients, across conditions we identified increased connections to higher regions, namely medial prefrontal cortex, or paracingulate gyrus. Healthy subjects activated sensory regions as area V5, or superior parietal lobule. Reduced TPJ activity may reflect both a failure in the bottom-up flow of visual information and a decrease of signal processing as consequence of increased top-down input from frontal areas. In sum, these altered neural patterns provide a framework for future studies focusing on predictive VM processing to identify potential biomarkers of psychosis.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.psychres.2022.114934

Cites

96 of 96 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • In schizophrenia, reduced connectivity between several brain areas was found in tasks involving movements: precuneus and medial prefrontal cortex during predictable motion; left frontal pole, superior frontal gyrus, and paracingulate gyrus during random motion; right cerebellum, left superior frontal gyrus, and paracingulate gyrus during arbitrary motion.

    “Reduced connectivity between several brain areas was found in tasks involving movements, such as precuneus and medial prefrontal cortex during predictable motion; left frontal pole, superior frontal gyrus, and paracingulate gyrus during random motion; right cerebellum, left superior frontal gyrus, and par­ acingulate gyrus during arbitrary motion (Dzafic et al., 2021; Scheliga et al., 2022”

    From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Scheliga et al., 2022

    The Discussion (§4) reports higher TPJ connectivity in patients with schizophrenia for the listed predictable- and arbitrary-motion regions, not reduced connectivity. It also describes higher connectivity to the left frontal pole and paracingulate gyrus during random motion. The claim reverses the principal direction of the reported findings. (LLM, conf=0.90)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • Compared to healthy controls, schizophrenia patients showed stronger functional connectivity between orbitofrontal and visual cortex, and between the right and left superior temporal gyrus.

    “Compared to HC, patients with SCZ showed stronger functional connectivity between orbitofrontal and vi­ sual cortex, and between the right and left superior temporal gyrus.”

    From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Scheliga et al., 2022

    The Methods (§2.6) describe connectivity analyses using the right temporoparietal junction as the seed. The Results (§3.2) report differences in connectivity with that seed, but do not address connectivity between orbitofrontal and visual cortex or between the right and left superior temporal gyri. Searches for those specific connections found no supporting passage in our copy. (LLM, conf=0.74)

    Experimental — accuracy not yet measured
  • In schizophrenia, reduced connectivity between the left and right hemispheres was observed for the inferior/superior frontal gyrus and primary auditory cortex during prediction tasks.

    “Conversely, reduced connectivity between the left and right hemi­ spheres was observed for the inferior/superior frontal gyrus and primary auditory cortex during prediction tasks.”

    From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Scheliga et al., 2022

    The Results (§3.2, page unavailable) report connectivity between a right TPJ seed and other regions during visual-motion conditions, including stronger connectivity with the right superior frontal gyrus in controls during random motion. The Discussion (§4, page unavailable) describes reduced patient connectivity between TPJ and visual area V5 during predictable motion. Neither passage addresses connectivity between the left and right hemispheres involving the frontal gyri or primary auditory cortex; searches for those regions and interhemispheric connectivity found no such result. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Whitfield-Gabrieli, S., Thermenos, H. W., Milanovic, S., Tsuang, M. T., Faraone, S. V., McCarley, R. W., ... & Seidman, L. J. (2009). Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia. Proc. Natl. Acad. Sci.

Cited by

Sorted by citations

Authors
Scheliga, S., Schwank, R., Scholle, R., Habel, U., & Kellermann, T.
Affiliations
  • RWTH Aachen University (DE)
  • Jülich Aachen Research Alliance (DE)
Corresponding author
Scheliga, Sebastian
Venue
Psychiatry Research
Publisher
Elsevier BV
Published
2022-12
Volume
318
Pages
114934
ISSN
0165-1781 (ISSN-L)
OpenAlex
W4308307010
Cited by
8
References
96
Citations by year
2026: 2 · 2025: 2 · 2024: 2 · 2023: 1 · 2022: 1
FWCI
0.98
Type
journal article
Language
en
Open access
Locations
  • Psychiatry Research (publishedVersion)
  • medRxiv (acceptedVersion)
  • PubMed (publishedVersion)
  • RWTH Publications (RWTH Aachen) (submittedVersion)
Funders
  • RWTH Aachen University (ICCR N4-4, START 135/14, IZKF TN1-8/IA 532008)
  • RWTH Aachen University Medical Faculty
  • Deutsche Forschungsgemeinschaft (368482240/GRK2416, RTG 2416, IRTG-1328)
  • Natural Resources Wales
  • Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg
  • European Regional Development Fund
  • European Commission
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 motion processing, predictive processing, temporoparietal junction, medial prefrontal cortex, paracingulate gyrus, neuronal connectivity
MeSH terms
Brain Mapping, Humans, Magnetic Resonance Imaging, Parietal Lobe, Schizophrenia, Visual Cortex, Visual Perception

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