ArticleEntropy (Basel, Switzerland)2022
Multiscale Weighted Permutation Entropy Analysis of Schizophrenia Magnetoencephalograms.
Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Beside Resting-State EEG in the Diagnosis and Prognosis of Patients with Disorders of Consciousness.Diagnostics (Basel, Switzerland) · 2026Article
- Multiscale Permutation Time Irreversibility Analysis of MEG in Patients with Schizophrenia.Entropy (Basel, Switzerland) · 2025Article
- Abnormalities in brain complexity in children with autism spectrum disorder: a sleeping state functional MRI study.BMC 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
- Enhancing generalized anxiety disorder diagnosis precision: MSTCNN model utilizing high-frequency EEG signals.Frontiers in psychiatry · 2023Article
- Fault Diagnosis Method Based on AUPLMD and RTSMWPE for a Reciprocating Compressor Valve.Entropy (Basel, Switzerland) · 2022Article
- Energy-Efficient Clustering Mechanism of Routing Protocol for Heterogeneous Wireless Sensor Network Based on Bamboo Forest Growth Optimizer.Entropy (Basel, Switzerland) · 2022Article
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Authors and funding
4 authors.
Funding
Abstract
Schizophrenia is a neuropsychiatric disease that affects the nonlinear dynamics of brain activity. The primary objective of this study was to explore the complexity of magnetoencephalograms (MEG) in patients with schizophrenia. We combined a multiscale method and weighted permutation entropy to characterize MEG signals from 19 schizophrenia patients and 16 healthy controls. When the scale was larger than 42, the MEG signals of schizophrenia patients were significantly more complex than those of healthy controls (p<0.004). The difference in complexity between patients with schizophrenia and the controls was strongest in the frontal and occipital areas (p<0.001), and there was almost no difference in the central area. In addition, the results showed that the dynamic range of MEG complexity is wider in healthy individuals than in people with schizophrenia. Overall, the multiscale weighted permutation entropy method reliably quantified the complexity of MEG from schizophrenia patients, contributing to the development of potential magnetoencephalographic biomarkers for schizophrenia.
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