ArticleFrontiers in neurology2023
The micro and macro interactions in acute autoimmune encephalitis: a study of resting-state EEG.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 4 citations in OpenAlex.
- Analysis of brain dynamics changes in patients with cerebral small vessel disease-related cognitive impairment based on electroencephalogram microstates.European journal of medical research · 2025Article
- Exploring brain network oscillations during seizures in drug-naïve patients with juvenile absence epilepsy.Frontiers in neurology · 2024Article
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7 authors at 1 institution in 1 country.
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Abstract
Objective: Early recognition of autoimmune encephalitis (AIE) is often difficult and time-consuming. Understanding how the micro-level (antibodies) and macro-level (EEG) couple with each other may help rapidly diagnose and appropriately treat AIE. However, limited studies focused on brain oscillations involving micro- and macro-interactions in AIE from a neuro-electrophysiological perspective. Here, we investigated brain network oscillations in AIE using Graph theoretical analysis of resting state EEG. Methods: AIE Patients ( Results: Compared with the HC group, significantly decreased FC across whole brain regions at alpha and beta bands were found in AIE patients. In addition, the local efficiency and clustering coefficient of the delta band was higher in AIE patients than in the HC group ( Conclusion: These findings add to our understanding of how brain FC and graph parameters change and how the micro- (antibodies) scales interact with the macro- (scalp EEG) scale in acute AIE. The clinical traits and subtypes of AIE may be suggested by graph properties. Further longitudinal cohort studies are needed to explore the associations between these graph parameters and recovery status, and their possible applications in AIE rehabilitation.
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