Background: Disorders of Arousal (DOAs) and Sleep-Related Hypermotor Epilepsy (SHE) share overlapping clinical features, making their differential diagnosis challenging. While video-polysomnography remains the gold standard, microstructural distinctions between these conditions are not yet well defined. Notably, slow-wave sleep fragmentation has been established as a key marker of DOA, but its characteristics in SHE remain unexplored. Objective: This study aimed to investigate slow-wave sleep fragmentation in DOA and SHE, assessing its potential diagnostic value and exploring its dynamics across the night. Methods: Overnight polysomnography recordings were analyzed in adult and pediatric patients with DOA or SHE. Slow-wave sleep fragmentation was quantified, distinguishing between fast, mixed, and slow arousals, and evaluating its evolution across sleep cycles. Results: Slow-wave sleep fragmentation was significantly higher in DOA than in SHE, particularly in slow and mixed components, whereas SHE was characterized by a predominance of fast interruptions; moreover, patients with DOA exhibited a reduction in slow-wave sleep fragmentation in the later sleep cycles. Conclusion: These findings confirm greater slow-wave sleep instability in DOA compared to SHE and suggest that fragmentation patterns may serve as a novel diagnostic marker. The decrease in fragmentation in DOA may indicate a homeostatic modulation of arousal instability. Further research is needed to refine microstructural sleep parameters for improved diagnostic precision and targeted interventions.
Evaluation of Sleep Microstructure in Disorders of Arousal and Sleep-Related Hypermotor Epilepsy: Focus on Slow-Wave Sleep Fragmentation Analysis
CORDANI, RAMONA
2025
Abstract
Background: Disorders of Arousal (DOAs) and Sleep-Related Hypermotor Epilepsy (SHE) share overlapping clinical features, making their differential diagnosis challenging. While video-polysomnography remains the gold standard, microstructural distinctions between these conditions are not yet well defined. Notably, slow-wave sleep fragmentation has been established as a key marker of DOA, but its characteristics in SHE remain unexplored. Objective: This study aimed to investigate slow-wave sleep fragmentation in DOA and SHE, assessing its potential diagnostic value and exploring its dynamics across the night. Methods: Overnight polysomnography recordings were analyzed in adult and pediatric patients with DOA or SHE. Slow-wave sleep fragmentation was quantified, distinguishing between fast, mixed, and slow arousals, and evaluating its evolution across sleep cycles. Results: Slow-wave sleep fragmentation was significantly higher in DOA than in SHE, particularly in slow and mixed components, whereas SHE was characterized by a predominance of fast interruptions; moreover, patients with DOA exhibited a reduction in slow-wave sleep fragmentation in the later sleep cycles. Conclusion: These findings confirm greater slow-wave sleep instability in DOA compared to SHE and suggest that fragmentation patterns may serve as a novel diagnostic marker. The decrease in fragmentation in DOA may indicate a homeostatic modulation of arousal instability. Further research is needed to refine microstructural sleep parameters for improved diagnostic precision and targeted interventions.File | Dimensione | Formato | |
---|---|---|---|
phdunige_ 4406240.pdf
embargo fino al 23/05/2026
Dimensione
1.63 MB
Formato
Adobe PDF
|
1.63 MB | Adobe PDF |
I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/20.500.14242/211098
URN:NBN:IT:UNIGE-211098