Aberrant processing of deviant stimuli in schizophrenia revealed by fusion of fMRI and EEG data

Vince D. Calhoun, Lei Wu, Kent A. Kiehl, Tom Eichele, Godfrey D. Pearlson

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Aberrant electrophysiological and haemodynamic processing of auditory oddball stimuli is among the most robustly documented findings in patients with schizophrenia. However, no study to date has directly examined linked patterns of electrical and haemodynamic differences in patients and controls. Methods: In a recent paper we demonstrated a data-driven approach, joint independent component analysis (jICA) to fuse together functional magnetic resonance imaging (fMRI) and event-related potential (ERP) data and elucidated the chronometry of auditory oddball target detection in healthy control subjects. In this paper we extend our fusion method to identify specific differences in the neuronal chronometry of target detection for chronic schizophrenia patients compared to healthy controls. Results: We found one linked source, consistent with the N2 response, known to be related to cognitive processing of deviant stimuli, spatially localized to bilateral fronto-temporal regions. This source showed significant between-group differences both in amplitude response and in the fMRI/ERP distribution pattern. These findings are consistent with previous work showing N2 amplitude and latency abnormalities in schizophrenia, and provide new information about the linkage between the two. Conclusions: In summary, we use a novel approach to isolate and identify a linked fMRI/ERP component which shows marked differences in chronic schizophrenia patients. We also show that jointly using both fMRI and ERP measures provides a fully picture of the underlying haemodynamic and electrical changes which are present in patients. Our approach also has broad applicability to other diseases such as autism, Alzheimer's disease, or bipolar disorder.

Original languageEnglish (US)
Pages (from-to)127-138
Number of pages12
JournalActa Neuropsychiatrica
Volume22
Issue number3
DOIs
StatePublished - Jun 2010

Keywords

  • Data fusion
  • Event-related potential
  • Functional magnetic resonance imaging
  • Independent component analysis N2
  • Schizophrenia

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Biological Psychiatry

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