Examining the Complex Mismatch Negativity in Early Phase Psychosis Using the Dual Rule Paradigm

Using electroencephalography (EEG) to examine the simple mismatch negativity (MMN), a marker of auditory cortex function, has been of great interest in the exploration of biomarkers for psychotic illness. Despite many studies reporting MMN deficits in chronic schizophrenia, there are inconsistent reports of MMN reductions in the early phases of psychotic illness, suggesting the MMN elicited by traditional paradigms may not be a sensitive enough measure of vulnerability to be used as a biomarker. Recently, a more computationally complex measure of auditory cortex function (the complex mismatch negativity; cMMN) has been hypothesized to provide a more sensitive marker of illness vulnerability. The current study employed a novel dual rule paradigm, in which two pattern rules are established and violated, to examine the cMMN in 14 individuals with early phase psychosis (EPP, < 5 years illness) and 15 healthy controls (HC). Relationships between cMMN waveforms, symptom severity, and measures of functioning were explored. We found reductions of cMMN amplitudes at the site of maximal amplitude in EPP (<i>p </i>= .017) with large effect sizes (<i>Hedges' g </i>= 0.96). This study is an early step in the exploration of the cMMN as a biomarker for psychosis. Our results provide evidence that the dual rule cMMN paradigm shows promise as a method for cMMN elicitation that captures more subtle neurofunctional changes in the early stages of illness.

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Publication Details

Journal
Clinical EEG and Neuroscience
Published
2024-08-16
DOI
https://doi.org/10.1177/15500594241273287
Citations
3
Primary Topic
Neuroscience and Music Perception
Type
article
Field-Weighted Citation Impact
1.03

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article

Examining the Complex Mismatch Negativity in Early Phase Psychosis Using the Dual Rule Paradigm

Dean F. Salisbury, T-Jay Anderson, Jenna N. Bissonnette, Candice E. Crocker et al.
3 citations
Clinical EEG and Neuroscience
Neuroscience and Music Perception
1.03
article

Examining the Complex Mismatch Negativity in Early Phase Psychosis Using the Dual Rule Paradigm

Dean F. Salisbury, T-Jay Anderson, Jenna N. Bissonnette, Candice E. Crocker, Philip G. Tibbo, Derek J. Fisher
article en
3 citations

Abstract

Using electroencephalography (EEG) to examine the simple mismatch negativity (MMN), a marker of auditory cortex function, has been of great interest in the exploration of biomarkers for psychotic illness. Despite many studies reporting MMN deficits in chronic schizophrenia, there are inconsistent reports of MMN reductions in the early phases of psychotic illness, suggesting the MMN elicited by traditional paradigms may not be a sensitive enough measure of vulnerability to be used as a biomarker. Recently, a more computationally complex measure of auditory cortex function (the complex mismatch negativity; cMMN) has been hypothesized to provide a more sensitive marker of illness vulnerability. The current study employed a novel dual rule paradigm, in which two pattern rules are established and violated, to examine the cMMN in 14 individuals with early phase psychosis (EPP, < 5 years illness) and 15 healthy controls (HC). Relationships between cMMN waveforms, symptom severity, and measures of functioning were explored. We found reductions of cMMN amplitudes at the site of maximal amplitude in EPP (<i>p </i>= .017) with large effect sizes (<i>Hedges' g </i>= 0.96). This study is an early step in the exploration of the cMMN as a biomarker for psychosis. Our results provide evidence that the dual rule cMMN paradigm shows promise as a method for cMMN elicitation that captures more subtle neurofunctional changes in the early stages of illness.

Clinical EEG and NeuroscienceVol. 56(1)
Dalhousie University (CA), University of Pittsburgh (US), Mount Saint Vincent University (CA)
Research Nova Scotia, National Institutes of Health, Institute of Neurosciences, Mental Health and Addiction
Good health and well-being
Openalex Percentile: Top 25%
Neuroscience and Music Perception
1.03
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