RT info:eu-repo/semantics/article
T1 Decreased spectral entropy modulation in patients with schizophrenia during a P300 task
A1 Bachiller, Alejandro
A1 Díez, Alvaro
A1 Suazo, Vanessa
A1 Domínguez, Cristina
A1 Ayuso, Marta
A1 Hornero, Roberto
A1 Poza, Jesús
A1 Molina, Vicente
AB Spectral entropy (SE), also known as Shannon entropy, is a useful parameter for quantifying the global regularity of the electroencephalographic (EEG) signal. Hence, it is of interest in the assessment of the electrophysiological correlates of cognitive processing in schizophrenia. However, to date, SE has been barely used in studies comparing resting EEG recordings between patients and controls. In this work, we compared SE between resting baseline [-250 0] ms and active task [150 550] ms windows of a P300 task in 31 patients with schizophrenia and 38 controls. Moreover, we also calculated the median frequency (MF) and relative power in each frequency band for these windows to assess the correlates of the possible SE differences. Controls showed a significant (p < 0.0029) SE decrease (i.e., meaning higher signal regularity) from baseline to the active task window at parietal and central electrode sites. This SE decrease from baseline to active conditions was significantly lower in patients. In controls, this SE decrease was accompanied by a statistically significant decrease in MF (i.e., a significant slowing of the EEG activity), not observed in patients. In this latter group, the difference in SE between resting baseline and active task windows was inversely correlated to positive and total symptoms scores, as measured with the positive and negative symptoms scale. Our data support the relevance of SE in the study of cerebral processing in schizophrenia.
SN 0940-1334
YR 2014
FD 2014
LK https://uvadoc.uva.es/handle/10324/66457
UL https://uvadoc.uva.es/handle/10324/66457
LA spa
NO European Archives of Psychiatry and Clinical Neuroscience 264(6): 533-43
DS UVaDOC
RD 24-nov-2024