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Understanding semantic impairments in schizophrenia from a predictive coding perspective.

Yukiko Matsumoto1, Ryusuke Hayashi2, Hidehiko Takahashi3

  • 1Department of Psychiatry, Nippon Medical School Musashikosugi Hospital, Kawasaki, Japan.

Neuroscience Research
|November 21, 2025
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Summary
This summary is machine-generated.

Schizophrenia involves semantic impairments, potentially explained by predictive coding theory. This framework suggests disrupted prediction error signaling underlies cognitive deficits in the disorder.

Keywords:
Computational psychiatryLanguage processingNeuroimagingPredictive codingSchizophreniaSemantic networks

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Area of Science:

  • Cognitive Neuroscience
  • Computational Psychiatry
  • Neurolinguistics

Background:

  • Schizophrenia is marked by significant semantic impairments affecting language and thought.
  • Predictive coding theory posits the brain generates predictions and uses errors to update models.

Purpose of the Study:

  • To provide empirical evidence supporting predictive coding as a unifying framework for schizophrenia's semantic deficits.
  • To synthesize neuroimaging and cognitive data within the predictive coding model.

Main Methods:

  • Review of behavioral, electrophysiological, and neuroimaging studies.
  • Analysis of semantic processing in priming and fluency tasks.
  • Voxel-wise modeling, graph theory, and topological analysis of semantic networks.

Main Results:

  • Altered semantic processing observed in behavioral tasks.
  • Reduced N400 effects indicate atypical neural responses to semantic incongruence.
  • Schizophrenia exhibits disorganized semantic networks with reduced small-worldness and representational variability.

Conclusions:

  • Converging evidence supports disrupted predictive mechanisms as the neurocomputational basis for semantic deficits in schizophrenia.
  • Miscalibrated prediction error signaling may lead to aberrant semantic associations or impoverished processing.
  • This framework offers insights into schizophrenia pathophysiology and potential therapeutic targets.