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

•We investigated neural correlates of visual motion (VM) processing in psychosis.•fMRI was recorded during three VM conditions with decreasing predictability.•For patients, activity of temporo-parietal junction (TPJ) was reduced during VM.•Patients had increased TPJ connections to frontal areas but...

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Published inPsychiatry research Vol. 318; p. 114934
Main Authors Scheliga, Sebastian, Schwank, Rosalie, Scholle, Ruben, Habel, Ute, Kellermann, Thilo
Format Journal Article
LanguageEnglish
Published Ireland Elsevier B.V 01.12.2022
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Abstract •We investigated neural correlates of visual motion (VM) processing in psychosis.•fMRI was recorded during three VM conditions with decreasing predictability.•For patients, activity of temporo-parietal junction (TPJ) was reduced during VM.•Patients had increased TPJ connections to frontal areas but not to sensory regions.•We discussed these correlates of VM in light of a potential marker for psychosis. 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.
AbstractList 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.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.
•We investigated neural correlates of visual motion (VM) processing in psychosis.•fMRI was recorded during three VM conditions with decreasing predictability.•For patients, activity of temporo-parietal junction (TPJ) was reduced during VM.•Patients had increased TPJ connections to frontal areas but not to sensory regions.•We discussed these correlates of VM in light of a potential marker for psychosis. 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.
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.
ArticleNumber 114934
Author Scheliga, Sebastian
Kellermann, Thilo
Schwank, Rosalie
Scholle, Ruben
Habel, Ute
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Keywords Functional connectivity
Psychosis
Temporo-parietal junction
Sensory dysfunction
Vision
Hypersensitivity
Attention
Prediction error
Contextual updating
Language English
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Snippet •We investigated neural correlates of visual motion (VM) processing in psychosis.•fMRI was recorded during three VM conditions with decreasing...
Psychotic symptoms may be traced back to sensory sensitivity. Thereby, visual motion (VM) processing particularly has been suggested to be impaired in...
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SubjectTerms Attention
Brain Mapping
Contextual updating
Functional connectivity
Humans
Hypersensitivity
Magnetic Resonance Imaging
Parietal Lobe - diagnostic imaging
Prediction error
Psychosis
Schizophrenia - diagnostic imaging
Sensory dysfunction
Temporo-parietal junction
Vision
Visual Cortex
Visual Perception
Title A neural mechanism underlying predictive visual motion processing in patients with schizophrenia
URI https://www.clinicalkey.com/#!/content/1-s2.0-S016517812200525X
https://dx.doi.org/10.1016/j.psychres.2022.114934
https://www.ncbi.nlm.nih.gov/pubmed/36347125
https://www.proquest.com/docview/2734612374
Volume 318
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