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Disorganization in Schizophrenia: A Resting EEG Study

Published online by Cambridge University Press:  23 March 2020

A. Vignapiano ,
T. Koenig ,
A. Mucci ,
G.-M. Giordano ,
A. Amodio ,
G. Di Lorenzo ,
C. Niolu ,
M. Altamura ,
A. Bellomo  and
S. Galderisi
A. Vignapiano
Affiliation:
University of Naples SUN, Department of Psychiatry, Naples, Italy
T. Koenig
Affiliation:
University Hospital of Psychiatry and Psychotherapy, Translational Research Center, Bern, Switzerland
A. Mucci
Affiliation:
University of Naples SUN, Department of Psychiatry, Naples, Italy
G.-M. Giordano
Affiliation:
University of Naples SUN, Department of Psychiatry, Naples, Italy
A. Amodio
Affiliation:
University of Naples SUN, Department of Psychiatry, Naples, 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, Naples, Italy

Abstract

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Introduction

In subjects with schizophrenia (SCZ), the disorganization factor was found to be a strong predictor of real-life functioning. “Conceptual disorganization” (P2), “difficulties in abstract thinking” (N5) and “poor attention” (G11) are considered core aspects of the disorganization factor, as assessed by PANSS. The overlap of these items with neurocognitive functions is debated and should be further investigated.

Aims

Within the Italian network for research on psychoses study, electrophysiological and neurocognitive correlates of the disorganization factor and its component items were investigated.

Methods

Resting state EEGs were recorded in 145 stabilized SCZ and 69 matched healthy controls (HC). Spectral amplitude (SAmp) was averaged in nine frequency bands. MATRICS consensus cognitive battery (MCCB) was used for neurocognitive assessment. Band SAmp differences and correlations with psychopathology and MCCB scores were explored by global randomization statistics.

Results

SCZ showed increased delta, theta, and beta1 and decreased alpha2 SAmp. A negative correlation between alpha1 and disorganization was observed in SCZ. At the item level, only N5 showed this correlation. MCCB neurocognitive composite was associated with P2 and N5 but not with alpha1 SAmp.

Conclusions

Our findings suggest an heterogeneity of the disorganization dimension and a partial overlap with neurocognitive domains. The N5, “difficulties in abstract thinking”, had a unique association with alpha1 SAmp, which is thought to be involved in the formation of conceptual maps.

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. S100
Copyright
Copyright © European Psychiatric Association 2017
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