ArticleFrontiers in psychiatry2022
Altered Microstate Dynamics and Spatial Complexity in Late-Life Schizophrenia.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Peripheral magnetic stimulation effects on brain activity in older adults with schizophrenia - a randomized controlled pilot study.Frontiers in psychiatry · 2026Trial
- Dynamic, differentiated clinical trajectories and prediction in clinical high risk for psychosis.Molecular psychiatry · 2026Article
- Acute aerobic exercise modulates resting-state EEG microstate dynamics in individuals with internet addiction.Frontiers in neuroscience · 2026Article
- Gamma Transcranial Alternating Current Stimulation Enhances Working Memory Ability in Healthy People: An EEG Microstate Study.Brain sciences · 2025Article
- EEG analysis in patients with schizophrenia based on microstate semantic modeling method.Frontiers in human neuroscience · 2024Article
- Resting-state EEG microstates as electrophysiological biomarkers in post-stroke disorder of consciousness.Frontiers in neuroscience · 2023Article
- Study on tinnitus-related electroencephalogram microstates in patients with vestibular schwannomas.Frontiers in neuroscience · 2023Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Resting-state EEG microstate and omega complexity analyses have been widely used to explore deviant brain function in various neuropsychiatric disorders. This study aimed to investigate the features of microstate dynamics and spatial complexity in patients with late-life schizophrenia (LLS). Method: Microstate and omega complexity analyses were performed on resting-state EEG data from 39 in patients with LLS and compared with 40 elderly normal controls (NCs). Result: The duration of microstate classes A and D were significantly higher in patients with LLS compared with NCs. The occurrence of microstate classes A, B, and C was significantly lower in patients with LLS compared with NCs. LLS patients have a lower time coverage of microstate class A and a higher time coverage of class D than NCs. Transition probabilities from microstate class A to B and from class A to C were significantly lower in patients with LLS compared with NCs. Transition probabilities between microstate class B and D were significantly higher in patients with LLS compared with NCs. Global omega complexity and anterior omega complexity were significantly higher in patients with LLS compared with NCs. Conclusion: This study revealed an altered pattern of microstate dynamics and omega complexity in patients with LLS. This may reflect the disturbed neural basis underlying LLS and enhance the understanding of the pathophysiology of LLS.
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