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

Published online by Cambridge University Press:  24 June 2014

Vince D. Calhoun*
Affiliation:
The Mind Research Network, Albuquerque, NM 87131, USA Department of ECE, University of New Mexico, Albuquerque, NM 87131, USA Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT 06106, USA Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06520, USA
Lei Wu
Affiliation:
The Mind Research Network, Albuquerque, NM 87131, USA Department of ECE, University of New Mexico, Albuquerque, NM 87131, USA
Kent A. Kiehl
Affiliation:
The Mind Research Network, Albuquerque, NM 87131, USA Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT 06106, USA Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06520, USA Department of Psychology, University of New Mexico, Albuquerque, NM 87131, USA
Tom Eichele
Affiliation:
Department of Biological and Medical Psychology, University of Bergen, 5009 Bergen, Norway
Godfrey D. Pearlson
Affiliation:
Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT 06106, USA Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06520, USA
*
Vince D. Calhoun, The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87106, USA. Tel: +1 860 833 5511; Fax: +1 505 272 8002; E-mail: vcalhoun@unm.edu

Abstract

Calhoun VD, Wu L, Kiehl KA, Eichele T, Pearlson GD. Aberrant processing of deviant stimuli in schizophrenia revealed by fusion of fMRI and EEG data.

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.

Type
Research Article
Copyright
Copyright © 2010 John Wiley & Sons A/S

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