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Spatial distribution and cognitive correlates of gamma noise power in schizophrenia

Published online by Cambridge University Press:  11 September 2012

Á. Díez ,
V. Suazo ,
P. Casado ,
M. Martín-Loeches  and
V. Molina
Á. Díez
Affiliation:
Basic Psychology, Psychobiology and Methodology Department, School of Psychology, University of Salamanca, Spain Institute of Biomedical Research, Salamanca, Spain
V. Suazo
Affiliation:
Institute of Biomedical Research, Salamanca, Spain Neuroscience Institute of Castilla y León, University of Salamanca, Spain
P. Casado
Affiliation:
UCM-ISCIII Center for Human Evolution and Behavior, Madrid, Spain
M. Martín-Loeches
Affiliation:
UCM-ISCIII Center for Human Evolution and Behavior, Madrid, Spain
V. Molina*
Affiliation:
Institute of Biomedical Research, Salamanca, Spain Psychiatry Service, University Hospital of Valladolid, Spain School of Medicine, University of Valladolid, Spain
*
*Address for correspondence: V. Molina, Ph.D., Psychiatry Service, University Hospital of Valladolid, Avenida Ramón y Cajal, 7, 48005 Valladolid, Spain. (Email: [email protected])
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Abstract

Background

Brain activity is less organized in patients with schizophrenia than in healthy controls (HC). Noise power (scalp-recorded electroencephalographic activity unlocked to stimuli) may be of use for studying this disorganization.

Method

Fifty-four patients with schizophrenia (29 minimally treated and 25 stable treated), 23 first-degree relatives and 27 HC underwent clinical and cognitive assessments and an electroencephalographic recording during an oddball P300 paradigm to calculate noise power magnitude in the gamma band. We used a principal component analysis (PCA) to determine the factor structure of gamma noise power values across electrodes and the clinical and cognitive correlates of the resulting factors.

Results

The PCA revealed three noise power factors, roughly corresponding to the default mode network (DMN), frontal and occipital regions respectively. Patients showed higher gamma noise power loadings in the first factor when compared to HC and first-degree relatives. In the patients, frontal gamma noise factor scores related significantly and inversely to working memory and problem-solving performance. There were no associations with symptoms.

Conclusions

There is an elevated gamma activity unrelated to task processing over regions coherent with the DMN topography in patients with schizophrenia. The same type of gamma activity over frontal regions is inversely related to performance in tasks with high involvement in these frontal areas. The idea of gamma noise as a possible biological marker for schizophrenia seems promising. Gamma noise might be of use in the study of underlying neurophysiological mechanisms involved in this disease.

Keywords

Default mode networkfirst-degree relativesfrontal regionsproblem solvingpsychosisworking memory
Type
Original Articles
Information
Psychological Medicine , Volume 43 , Issue 6 , June 2013 , pp. 1175 - 1185
Copyright
Copyright © Cambridge University Press 2012 

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