RT info:eu-repo/semantics/article
T1 Spatial distribution and cognitive correlates of gamma noise power in schizophrenia
A1 Díez, Á.
A1 Suazo, V.
A1 Casado, P.
A1 Martín-Loeches, M.
A1 Molina, V.
AB BackgroundBrain 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.MethodFifty-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.ResultsThe 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.ConclusionsThere 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.
SN 0033-2917
YR 2012
FD 2012
LK https://uvadoc.uva.es/handle/10324/66464
UL https://uvadoc.uva.es/handle/10324/66464
LA spa
NO Psychological Medicine 43(6):1175-85
DS UVaDOC
RD 18-nov-2024