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Discriminating schizophrenia disease progression using a P50 sensory gating task with dense-array EEG, clinical assessments, and cognitive tests

  • Yu Luo
  • , Jicong Zhang*
  • , Changming Wang
  • , Xiaohui Zhao
  • , Qi Chang
  • , Hua Wang
  • , Chuanyue Wang
  • *Corresponding author for this work
  • Beihang University
  • Capital Medical University

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Schizophrenia affects approximately 10% of the world’s population. Early detection of schizophrenia may significantly delay its progression. Although sensory gating deficits are reported in schizophrenia, it remains challenging how sensory gating deficits can be used with other metrics for risk detection and early diagnosis. Research design and methods: Using EEG, the authors examined effects of sensory gating on the performance of 136 participants in a P50 sensory gating task, including patients with first-episode schizophrenia (FESZ), ultra-high risk (UHR) individuals, high-risk (HR) individuals, and age- and sex-matched healthy controls (HCs). The authors also explored the differences among all groups using clinical assessments and cognitive tests. Results: Compared with HCs, HR, UHR and FESZ groups showed significant P50 suppression impairment. Furthermore, EEG source localization analyses identified successively stronger activation in prefrontal and anterior temporal regions in the HR, UHR and FESZ groups than in the HC group. Moreover, brain connectivity (HC < HR < UHR < FESZ) in the gamma band of P50 components was increasingly enhanced in accordance with the level of psychosis risks. Conclusions: These findings suggest that EEG source imaging techniques, brain network dynamics, and behavioral tests, can help clearly distinguish different stages of schizophrenia, and may assist in the early diagnosis of schizophrenia.

Original languageEnglish
Pages (from-to)459-470
Number of pages12
JournalExpert Review of Neurotherapeutics
Volume19
Issue number5
DOIs
StatePublished - 4 May 2019

Keywords

  • Dense-array EEG
  • EEG source localization
  • early detection
  • functional connectivity
  • schizophrenia
  • sensory gating

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