Yen-Ju Chu1, Chi-Feng Chang2, Wen-Chin Weng3, Pi-Chuan Fan3, Jiann-Shing Shieh4, Wang-Tso Lee5. 1. Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan; Department of Pediatric Neurology, National Taiwan University Children's Hospital, Taipei, Taiwan. 2. Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA. 3. Department of Pediatric Neurology, National Taiwan University Children's Hospital, Taipei, Taiwan; Department of Pediatrics, National Taiwan University College of Medicine, Taipei, Taiwan. 4. Department of Mechanical Engineering, Yuan Ze University, Taoyuan, Taiwan; Innovation Center for Biomedical and Healthcare Technology, Yuan Ze University, Taoyuan, Taiwan; Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan, Taiwan. 5. Department of Pediatric Neurology, National Taiwan University Children's Hospital, Taipei, Taiwan; Department of Pediatrics, National Taiwan University College of Medicine, Taipei, Taiwan; Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan. Electronic address: wangtsolee@ntu.edu.tw.
Abstract
OBJECTIVE: To investigate the potential of EEG multiscale entropy and complexity as biomarkers in infantile spasms. METHODS: We collected EEG data retrospectively from 16 newly diagnosed patients, 16 age- and gender-matched healthy controls, and 15 drug-resistant patients. The multiscale entropy (MSE) and total EEG complexity before anti-epileptic drug (AED) treatment, before adrenocorticotropic hormone (ACTH) treatment, 14 days after ACTH therapy, and after 6 months of follow-up were calculated. RESULTS: The total EEG complexity of 16 newly diagnosed infantile spasms patients was lower than the 16 healthy controls (median [IQR]: 351.5 [323.1-388.1] vs 461.6 [407.7-583.4]). The total EEG complexity before treatment was higher in the six patients with good response to AED than the 10 patients without response (median [IQR]: 410.0 [388.1-475.0] vs 344.5 [319.6-352.0]). The total EEG complexity before and after 14-days of ACTH therapy was not different between 13 ACTH therapy responders and nine non-responders. After 6-months follow-up, the total EEG complexity of ACTH therapy responders were higher than non-responders (median [IQR]: 598.5 [517.4-623.3] vs 448.6 [347.1-536.3]). CONCLUSIONS: The total EEG complexity before AED and 6 months after ACTH are associated with spasm-freedom. SIGNIFICANCE: The total EEG complexity is a potential biomarker to predict and monitor the treatment effect in infantile spasms.
OBJECTIVE: To investigate the potential of EEG multiscale entropy and complexity as biomarkers in infantile spasms. METHODS: We collected EEG data retrospectively from 16 newly diagnosed patients, 16 age- and gender-matched healthy controls, and 15 drug-resistant patients. The multiscale entropy (MSE) and total EEG complexity before anti-epileptic drug (AED) treatment, before adrenocorticotropic hormone (ACTH) treatment, 14 days after ACTH therapy, and after 6 months of follow-up were calculated. RESULTS: The total EEG complexity of 16 newly diagnosed infantile spasmspatients was lower than the 16 healthy controls (median [IQR]: 351.5 [323.1-388.1] vs 461.6 [407.7-583.4]). The total EEG complexity before treatment was higher in the six patients with good response to AED than the 10 patients without response (median [IQR]: 410.0 [388.1-475.0] vs 344.5 [319.6-352.0]). The total EEG complexity before and after 14-days of ACTH therapy was not different between 13 ACTH therapy responders and nine non-responders. After 6-months follow-up, the total EEG complexity of ACTH therapy responders were higher than non-responders (median [IQR]: 598.5 [517.4-623.3] vs 448.6 [347.1-536.3]). CONCLUSIONS: The total EEG complexity before AED and 6 months after ACTH are associated with spasm-freedom. SIGNIFICANCE: The total EEG complexity is a potential biomarker to predict and monitor the treatment effect in infantile spasms.
Authors: Blanca Romero Milà; Kavyakantha Remakanthakurup Sindhu; John R Mytinger; Daniel W Shrey; Beth A Lopour Journal: Front Neurol Date: 2022-07-28 Impact factor: 4.086