Author:
Freche D,Naim-Feil J,Hess S,Peled A,Grinshpoon A,Moses E,Levit-Binnun N
Abstract
AbstractThe electroencephalogram (EEG) of schizophrenia patients is known to exhibit a reduction of signal-to-noise ratio and of phase locking, as well as a facilitation of excitability, in response to a variety of external stimuli. Here we demonstrate these effects in transcranial magnetic stimulation (TMS)-evoked potentials and in the resting-state EEG. To ensure veracity we used three weekly sessions and analyzed both resting state and TMS-EEG data. For the TMS responses our analysis verifies known results. For the resting state we introduce the methodology of mean-normalized variation to the EEG analysis (quartile-based coefficient of variation), which allows for a comparison of narrow-band EEG amplitude fluctuations to narrow-band Gaussian noise. This reveals that amplitude fluctuations in the delta, alpha and beta bands of healthy controls are different from those in schizophrenia patients, on time scales of tens of seconds. We conclude that the EEG-measured cortical activity patterns of schizophrenia patients are more similar to noise, both in alpha and beta resting state and in TMS responses. Our results suggest that the ability of neuronal populations to form stable, locally and temporally correlated activity is reduced in schizophrenia, a conclusion that is in accord with previous experiments on TMS-EEG and on resting-state EEG.
Publisher
Cold Spring Harbor Laboratory
Reference60 articles.
1. Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR). American Psychiatric Association, Washington DC, 4 (text revision) edition, 2000.
2. N. C. Andreasen . Scale for the assessment of negative symptoms (SAPS). University of Iowa, Iowa City, 1984.
3. Scale for the Assessment of Negative Symptoms (SANS)*
4. How Can Global Alteration of Excitation/Inhibition Balance Lead to the Local Dysfunctions That Underlie Schizophrenia?
5. C. N. P. G. Arachchige , L. A. Prendergast , and R. G. Staudte . Robust analogues to the coefficient of variation. arxiv, 2019. URL https://arxiv.org/abs/1907.01110.