Relationship between auditory processing and affective prosody in schizophrenia

Carol Jahshan, Jonathan K. Wynn, Michael F. Green

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

Patients with schizophrenia have well-established deficits in their ability to identify emotion from facial expression and tone of voice. In the visual modality, there is strong evidence that basic processing deficits contribute to impaired facial affect recognition in schizophrenia. However, few studies have examined the auditory modality for mechanisms underlying affective prosody identification. In this study, we explored links between different stages of auditory processing, using event-related potentials (ERPs), and affective prosody detection in schizophrenia. Thirty-six schizophrenia patients and 18 healthy control subjects received tasks of affective prosody, facial emotion identification, and tone matching, as well as two auditory oddball paradigms, one passive for mismatch negativity (MMN) and one active for P300. Patients had significantly reduced MMN and P300 amplitudes, impaired auditory and visual emotion recognition, and poorer tone matching performance, relative to healthy controls. Correlations between ERP and behavioral measures within the patient group revealed significant associations between affective prosody recognition and both MMN and P300 amplitudes. These relationships were modality specific, as MMN and P300 did not correlate with facial emotion recognition. The two ERP waves accounted for 49% of the variance in affective prosody in a regression analysis. Our results support previous suggestions of a relationship between basic auditory processing abnormalities and affective prosody dysfunction in schizophrenia, and indicate that both relatively automatic pre-attentive processes (MMN) and later attention-dependent processes (P300) are involved with accurate auditory emotion identification. These findings provide support for bottom-up (e.g., perceptually based) cognitive remediation approaches.

Original languageEnglish
Pages (from-to)348-353
Number of pages6
JournalSchizophrenia Research
Volume143
Issue number2-3
DOIs
StatePublished - Feb 2013
Externally publishedYes

Bibliographical note

Funding Information:
Funding for this study was provided by grants from the Department of Veterans Affairs Sierra Pacific Mental Illness Research, Education and Clinical Center (MIRECC) and the National Institute of Mental Health (MH065707 to MFG). The MIRECC and NIH had no further role in study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication.

Funding Information:
Writing of this manuscript was supported by the Department of Veterans Affairs Office of Academic Affiliations Advanced Fellowship Program in Mental Illness Research and Treatment . The authors would like to thank Crystal Gibson, Cory Tripp, Katie Weiner, Mark McGee, Christen Waldon and Amanda Bender for their assistance with recruitment and testing. The authors would also like to thank Petri Laukka, Ph.D. and David I. Leitman, Ph.D. for providing the affective prosody task and tone matching task, respectively.

Funding

Funding for this study was provided by grants from the Department of Veterans Affairs Sierra Pacific Mental Illness Research, Education and Clinical Center (MIRECC) and the National Institute of Mental Health (MH065707 to MFG). The MIRECC and NIH had no further role in study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication. Writing of this manuscript was supported by the Department of Veterans Affairs Office of Academic Affiliations Advanced Fellowship Program in Mental Illness Research and Treatment . The authors would like to thank Crystal Gibson, Cory Tripp, Katie Weiner, Mark McGee, Christen Waldon and Amanda Bender for their assistance with recruitment and testing. The authors would also like to thank Petri Laukka, Ph.D. and David I. Leitman, Ph.D. for providing the affective prosody task and tone matching task, respectively.

FundersFunder number
Department of Veterans Affairs Office of Academic Affiliations Advanced Fellowship Program in Mental Illness Research and Treatment
Department of Veterans Affairs Sierra Pacific Mental Illness Research, Education and Clinical Center
MIRECC
National Institute of Mental HealthR01MH065707

    Keywords

    • Affective prosody
    • Auditory processing
    • Mismatch negativity
    • P300
    • Schizophrenia

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