Literature DB >> 34296092

Phase-Amplitude Markers of Synchrony and Noise: A Resting-State and TMS-EEG Study of Schizophrenia.

Dominik Freche1,2, Jodie Naim-Feil1,2,3, Shmuel Hess4,5, Avraham Peled6,7, Alexander Grinshpoon6,7, Elisha Moses2, Nava Levit-Binnun1.   

Abstract

The 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 3 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.
© The Author(s) 2020. Published by Oxford University Press.

Entities:  

Keywords:  TMS-EEG; noise hypothesis; resting-state EEG; schizophrenia

Year:  2020        PMID: 34296092      PMCID: PMC8152916          DOI: 10.1093/texcom/tgaa013

Source DB:  PubMed          Journal:  Cereb Cortex Commun        ISSN: 2632-7376


  51 in total

1.  Attenuation of long-range temporal correlations in the amplitude dynamics of alpha and beta neuronal oscillations in patients with schizophrenia.

Authors:  Vadim V Nikulin; Erik G Jönsson; Tom Brismar
Journal:  Neuroimage       Date:  2012-03-11       Impact factor: 6.556

2.  Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers.

Authors:  Brett A Clementz; John A Sweeney; Jordan P Hamm; Elena I Ivleva; Lauren E Ethridge; Godfrey D Pearlson; Matcheri S Keshavan; Carol A Tamminga
Journal:  Am J Psychiatry       Date:  2015-12-07       Impact factor: 18.112

Review 3.  Mass univariate analysis of event-related brain potentials/fields I: a critical tutorial review.

Authors:  David M Groppe; Thomas P Urbach; Marta Kutas
Journal:  Psychophysiology       Date:  2011-09-06       Impact factor: 4.016

4.  How Can Global Alteration of Excitation/Inhibition Balance Lead to the Local Dysfunctions That Underlie Schizophrenia?

Authors:  Alan Anticevic; John Lisman
Journal:  Biol Psychiatry       Date:  2017-01-04       Impact factor: 13.382

5.  Abnormal dynamics of EEG oscillations in schizophrenia patients on multiple time scales.

Authors:  Junfeng Sun; Yingying Tang; Kelvin O Lim; Jijun Wang; Shanbao Tong; Hui Li; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2014-06       Impact factor: 4.538

Review 6.  How do abnormalities in the brain's spontaneous activity translate into symptoms in schizophrenia? From an overview of resting state activity findings to a proposed spatiotemporal psychopathology.

Authors:  Georg Northoff; Niall W Duncan
Journal:  Prog Neurobiol       Date:  2016-08-12       Impact factor: 11.685

7.  Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis.

Authors:  David C Glahn; Angela R Laird; Ian Ellison-Wright; Sarah M Thelen; Jennifer L Robinson; Jack L Lancaster; Edward Bullmore; Peter T Fox
Journal:  Biol Psychiatry       Date:  2008-05-16       Impact factor: 13.382

8.  Prefrontal broadband noise, working memory, and genetic risk for schizophrenia.

Authors:  Georg Winterer; Richard Coppola; Terry E Goldberg; Michael F Egan; Douglas W Jones; Carmen E Sanchez; Daniel R Weinberger
Journal:  Am J Psychiatry       Date:  2004-03       Impact factor: 18.112

Review 9.  EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review.

Authors:  Christoph M Michel; Thomas Koenig
Journal:  Neuroimage       Date:  2017-12-02       Impact factor: 6.556

10.  Intraindividual neurophysiological variability in ultra-high-risk for psychosis and schizophrenia patients: single-trial analysis.

Authors:  Kyung Soon Shin; June Sic Kim; Sung Nyun Kim; Kyung Sue Hong; Brian F O'Donnell; Chun Kee Chung; Jun Soo Kwon
Journal:  NPJ Schizophr       Date:  2015-09-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.