ArticleCerebral cortex communications2020
Phase-Amplitude Markers of Synchrony and Noise: A Resting-State and TMS-EEG Study of Schizophrenia.
Article in Cerebral cortex communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Resting-state gamma power in schizophrenia: a systematic review and meta-analysis.Frontiers in psychiatry · 2025Pooled it
- State-Guided TMS-EEG for N100 Enhancement Study Based on Whole-Brain EEG Microstates.CNS neuroscience & therapeutics · 2026Article
- Adaptive drift-aware multi-stage deep learning framework for EEG-based schizophrenia diagnosis.BioData mining · 2026Article
- Loss of regional theta differentiation in TMS-EEG response marks network dysfunction in psychosis risk.Translational psychiatry · 2026Article
- Distinct oscillatory mechanisms in low and high alpha-band activities for screening and potential treatment of Schizophrenia.Translational psychiatry · 2025Article
- Resting-state EEG and MEG gamma frequencies in schizophrenia: a systematic review and exploratory power-spectrum metanalysis.Schizophrenia (Heidelberg, Germany) · 2025Review
- Electrophysiological and Behavioral Effects of Alpha-Band Sensory Entrainment: Neural Mechanisms and Clinical Applications.Biomedicines · 2023Review
- The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research.Biomedicines · 2022Review
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
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.
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