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Related Concept Videos

Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders01:27

Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders

Schizophrenia is a neurodevelopmental disorder whose origins are rooted in complex genetic components. Despite our burgeoning understanding, the pathophysiology of this disorder remains incompletely deciphered.
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Updated: May 8, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Basic disturbances of information processing in psychosis prediction.

Mitja Bodatsch1, Joachim Klosterkötter, Ralf Müller

  • 1Department of Psychiatry and Psychotherapy, University of Cologne , Cologne , Germany.

Frontiers in Psychiatry
|August 30, 2013
PubMed
Summary

The basic symptoms (BS) approach identifies subtle cognitive and perceptual changes in early psychosis. These changes, linked to neural information processing, can help predict psychosis onset and quantify risk.

Keywords:
EEG/ERPbasic symptomsfMRIprediction of psychosisultra-high risk

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Science

Background:

  • The basic symptoms (BS) approach offers a framework for understanding psychosis development.
  • Basic symptoms involve subtle cognitive and perceptual alterations in the early stages of psychosis.
  • These symptoms are hypothesized to reflect underlying neural information processing disturbances.

Purpose of the Study:

  • To explore information processing disturbances in the at-risk state of psychosis using fMRI and EEG.
  • To review the potential of neural information processing disturbances in enhancing psychosis prediction specificity.
  • To investigate the relationship between self-experienced basic symptoms and neural processing.

Main Methods:

  • Utilizing functional magnetic resonance imaging (fMRI) to examine brain activity.
  • Employing electro-encephalography (EEG) to assess neurophysiological markers.
  • Reviewing existing high-risk psychosis studies and their findings on neural processing.

Main Results:

  • The at-risk state for psychosis is associated with general information processing disturbances.
  • fMRI studies indicate language processing deficits may characterize the prodromal state.
  • Neurophysiological studies suggest sensory processing disturbances can quantify psychosis risk and predict timing.

Conclusions:

  • Information processing disturbances are linked to the at-risk state of psychosis.
  • Neural markers, particularly in sensory and language processing, show promise for improving psychosis prediction.
  • Further research is needed to clarify the relationship between neural processing, basic symptoms, and clinical risk concepts.