ArticleFrontiers in neuroinformatics2019
Abnormal Entropy Modulation of the EEG Signal in Patients With Schizophrenia During the Auditory Paired-Stimulus Paradigm.
Article in Frontiers in neuroinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 28 citations in OpenAlex.
- Integrating EEG and fMRI in naturalistic paradigms: Advances in understanding mental disorders-a decade study in review (2014-2024).Dialogues in clinical neuroscience · 2026Review
- Quantitative EEG of frontal and central cortices during calm memory retrieval in schizophrenia.Discover mental health · 2026Article
- Cognitive Processing and EEG Complexity.Entropy (Basel, Switzerland) · 2026Review
- Disrupted rest-task shift of multi-band electroencephalography complexity in patients with schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- EEG entropy modulation as a biomarker of emotion regulation and resilience.IBRO neuroscience reports · 2025Review
- Machine learning-based differentiation of schizophrenia and bipolar disorder using multiscale fuzzy entropy and relative power from resting-state EEG.Translational psychiatry · 2025Article
- Differences in EEG complexity of cognitive activities among subtypes of schizophrenia.Frontiers in psychiatry · 2025Article
- Multi-scale entropy assessment of magnetoencephalography signals in schizophrenia.Scientific reports · 2024Article
- Investigating cortical complexity and connectivity in rats with schizophrenia.Frontiers in neuroinformatics · 2024Article
- Fractal dimension analysis of resting state functional networks in schizophrenia from EEG signals.Frontiers in human neuroscience · 2023Article
- Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations.The European journal of neuroscience · 2022Review
- The altered state of consciousness induced by Δ9-THC.Consciousness and cognition · 2022Article
- A hybrid deep neural network for classification of schizophrenia using EEG Data.Scientific reports · 2021Article
- Consciousness as a multidimensional phenomenon: implications for the assessment of disorders of consciousness.Neuroscience of consciousness · 2021Review
- A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features.Sensors (Basel, Switzerland) · 2019Article
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Authors and funding
11 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The complexity change in brain activity in schizophrenia is an interesting topic clinically. Schizophrenia patients exhibit abnormal task-related modulation of complexity, following entropy of electroencephalogram (EEG) analysis. However, complexity modulation in schizophrenia patients during the sensory gating (SG) task, remains unknown. In this study, the classical auditory paired-stimulus paradigm was introduced to investigate SG, and EEG data were recorded from 55 normal controls and 61 schizophrenia patients. Fuzzy entropy (FuzzyEn) was used to explore the complexity of brain activity under the conditions of baseline (BL) and the auditory paired-stimulus paradigm (S1 and S2). Generally, schizophrenia patients showed significantly higher FuzzyEn values in the frontal and occipital regions of interest (ROIs). Relative to the BL condition, the normalized values of FuzzyEn of normal controls were decreased greatly in condition S1 and showed less variance in condition S2. Schizophrenia patients showed a smaller decrease in the normalized values in condition S1. Moreover, schizophrenia patients showed significant diminution in the suppression ratios of FuzzyEn, attributed to the higher FuzzyEn values in condition S1. These results suggested that entropy modulation during the process of sensory information and SG was obvious in normal controls and significantly deficient in schizophrenia patients. Additionally, the FuzzyEn values measured in the frontal ROI were positively correlated with positive scores of Positive and Negative Syndrome Scale (PANSS), indicating that frontal entropy was a potential indicator in evaluating the clinical symptoms. However, negative associations were found between the FuzzyEn values of occipital ROIs and general and total scores of PANSS, likely reflecting the compensation effect in visual processing. Thus, our findings provided a deeper understanding of the deficits in sensory information processing and SG, which contribute to cognitive deficits and symptoms in patients with schizophrenia.
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