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Electrophysiological Correlates of Negative Symptom Domains in Schizophrenia

Published online by Cambridge University Press:  23 March 2020

G.-M. Giordano ,
T. Koenig ,
A. Mucci ,
A. Vignapiano ,
A. Amodio ,
G. Di Lorenzo ,
C. Niolu ,
M. Altamura ,
A. Bellomo  and
S. Galderisi
G.-M. Giordano
Affiliation:
University of Naples SUN, Department of Psychiatry, Napoli, Italy
T. Koenig
Affiliation:
University of Bern, Translational Research Center–University Hospital of Psychiatry and Psychotherapy, Bern, Switzerland
A. Mucci
Affiliation:
University of Naples SUN, Department of Psychiatry, Napoli, Italy
A. Vignapiano
Affiliation:
University of Naples SUN, Department of Psychiatry, Napoli, Italy
A. Amodio
Affiliation:
University of Naples SUN, Department of Psychiatry, Napoli, Italy
G. Di Lorenzo
Affiliation:
University of Rome Tor Vergata, Department of Systems Medicine, Rome, Italy
C. Niolu
Affiliation:
University of Rome Tor Vergata, Department of Systems Medicine, Rome, Italy
M. Altamura
Affiliation:
University of Foggia, Department of Clinical and Experimental Medicine–Psychiatry Unit, Foggia, Italy
A. Bellomo
Affiliation:
University of Foggia, Department of Clinical and Experimental Medicine–Psychiatry Unit, Foggia, Italy
S. Galderisi
Affiliation:
University of Naples SUN, Department of Psychiatry, Napoli, Italy

Abstract

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Introduction

Negative symptoms are a core feature of schizophrenia but their pathophysiology remains elusive. They cluster in a motivation-related domain, including apathy, anhedonia, asociality and in an expression-related domain, including alogia and blunted affect.

Aim

Our aim was to investigate the different neurobiological underpinnings of the two domains using the brain electrical microstates (MS), which reflect global patterns of functional connectivity with high temporal resolution.

Method

We recorded multichannel resting EEGs in 142 schizophrenia patients (SCZ) and in 64 healthy controls (HC), recruited to the Italian network for research on psychoses study. Four microstates (MS) classes were computed from resting EEG data using the K-Mean clustering algorithm. Pearson's coefficient was used to investigate correlations of microstates measures with negative symptom domains, assessed by the Brief Negative Symptoms Scale (BNSS).

Results

SCZ, in comparison to HC, showed increased contribution and duration of MS-C. Only the avolition domain of BNSS correlated with the contribution and occurrence of MS-A. Within the same domain, anticipatory anhedonia, apathy and asociality, but not consummatory anhedonia, were positively correlated with contribution and occurrence of microstate A. Asociality was also negatively correlated with contribution and occurrence of MS-D.

Conclusion

Our findings support different neurobiological underpinnings of the negative symptom domains, avolition and expressive deficit. Furthermore, our results lend support to the hypothesis that only anticipatory anhedonia is linked to the avolition domain of the negative symptoms. Mixed results in the literature concerning the presence of MS-A and D abnormalities in schizophrenia might be related to the syndrome heterogeneity.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Type
Oral communications: Genetics & molecular neurobiology; neuroimaging; psychosurgery & stimulation methods (ECT, TMS, VNS, DBS) and others
Information
European Psychiatry , Volume 41 , Issue S1: Abstract of the 25th European Congress of Psychiatry , April 2017 , pp. S96 - S97
Copyright
Copyright © European Psychiatric Association 2017
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