ArticleBrain and behavior2025
Electroencephalographic Resting-State Microstates are Unstable in Visual Snow Syndrome.
Article in Brain and behavior, 2025. 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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Who cites it
2 citing papers in PubMed.
- Visual snow syndrome as a neuropsychiatric network disorder: clinical features, mechanisms, and therapeutic perspectives.Journal of neurology · 2026Review
- Pre-movement EEG microstates reflect intended lifted load of volitional movement.Frontiers in computational neuroscience · 2026Article
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5 authors.
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Abstract
objectiveTo study large-scale network processing in visual snow syndrome (VSS) with and without migraine, we applied resting-state electroencephalographic microstate analysis.
backgroundVSS is characterized by a spectrum of visual symptoms, with the main symptom being perceived as flickering dots throughout the visual field. The syndrome is associated with migraine and tinnitus and is considered a network disorder, but the cause and pathophysiology are still largely unknown.
methodsIn this case-control study, resting-state electroencephalography (EEG) recordings were selected from a cohort of 21 subjects with VSS (8 females, 33 ± 9.56 years, 14 migraines) and 21 matched controls (8 females, 33 ± 11.1 years, 14 migraines). An analysis of parameters between the four canonical microstate Classes A-D was performed.
resultsVSS patients showed an overall shorter duration (p = 0.001, Cohen's d = -0.48) and lower mean amplitude (p < 0.001, Cohen's d = -0.76) of microstates compared to the controls. In addition, we found an aberrant syntax of microstate Class A (auditive and visual processing) with more (p = 0.001, Cohen's d = 0.57) transitions to Class B (visual) and less (p = 0.011, d = -0.71) to Class C (interoceptive, salience) compared to controls.
conclusionVisual snow syndrome (VSS) is a complex disorder, affecting widespread neural network activity. In VSS, electroencephalography (EEG) microstate analysis revealed unstable microstates as well as aberrant transition probabilities, indicating disturbed large-scale network activity. The analysis of microstate dynamics in VSS complements the results of imaging with high temporal resolution and could contribute to the development of future treatment approaches.
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