Electroencephalographic connectivity analysis in schizophrenia

Elisa Carlino; Monica Sigaudo; Rosalba Rosato; Sergio Vighetti; Paola Rocca

doi:10.1016/j.neulet.2015.07.045

Electroencephalographic connectivity analysis in schizophrenia

Neurosci Lett. 2015 Sep 14:604:145-50. doi: 10.1016/j.neulet.2015.07.045. Epub 2015 Aug 1.

Authors

Elisa Carlino¹, Monica Sigaudo², Rosalba Rosato³, Sergio Vighetti⁴, Paola Rocca²

Affiliations

¹ Department of Neuroscience, University of Turin Medical School, and National Institute of Neuroscience, Turin, Italy. Electronic address: elisa.carlino@unito.it.
² Department of Neuroscience, Psychiatric Section, University of Turin, Turin, Italy.
³ Department of Psychology, University of Turin, Turin, Italy.
⁴ Department of Neuroscience, University of Turin Medical School, and National Institute of Neuroscience, Turin, Italy.

PMID: 26240992
DOI: 10.1016/j.neulet.2015.07.045

Abstract

The aim of the present study was to further investigate the electroencephalogram (EEG) connectivity in schizophrenic patients by means of mutual information (MI), an analysis capable of detecting both the linear and nonlinear components of EEG. 19-lead EEGs were recorded in stable schizophrenic patients (N=17) and healthy controls (N=17) in two different conditions: closed eyes (CE) and open eyes (OE). In patients, higher MI values were observed in temporal-parietal-occipital regions compared with controls. In controls, an increase in brain connectivity in frontal regions was observed in the CE condition. This increase was not present in patients. Our results suggest that patients with schizophrenia present changes of brain connectivity that can be detected through MI analysis.

Keywords: Electroencephalographic connectivity; Mutual information; Schizophrenia.

MeSH terms

Adult
Case-Control Studies
Electroencephalography
Female
Humans
Male
Middle Aged
Schizophrenia / physiopathology*
Young Adult