Moderate RBD symptoms in narcoleptic versus IRBD mice.
Résumé
evaluate the agreement, variability, and bias between the NTX-IMU algorithms and ground truth, based on the ability to estimate periodic leg movement index (PLMI) for each hour and ability to screen for pathological PLMS based on the diagnostic cutoff PLMI > 15 for each night. This work was supported by NIH/NINDS R44NS117294. Results: For estimating PLMI for each hour (n¼158 hours), NTX-Acc was strongly correlated with ground truth (r ¼ 0.903), showed minimal bias (mean ± SD¼ 0.80 ± 14.05), and had high accuracy (94.9%), sensitivity (0.882), and specificity (0.957). For classifying the potential presence/ absence of pathological PLMS for each night, NTX100-Acc correctly classified 90.7% of nights, with a sensitivity of 0.750 and specificity of 0.943. NTX-Gyro had similar results on all metrics. Conclusions: NTX-IMU showed strong agreement with PSG-based ground truth for detecting PLMS frequency and screening for the potential presence of pathological PLMS. This suggests that the NTX100 TOMAC system e a therapeutic platform e might also offer the possibility for long-term in-home PLMS monitoring.
Domaines
NeurobiologieOrigine | Fichiers éditeurs autorisés sur une archive ouverte |
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