TY - JOUR
T1 - Altered Neuronal Networks in Infantile Epileptic Spasms Syndrome
T2 - Investigation of Cross-Channel Interactions and Relapse
AU - Zhang, Chuting
AU - Shi, Wenbin
AU - Wan, Lin
AU - Yang, Guang
AU - Yeh, Chien Hung
N1 - Publisher Copyright:
© 2001-2011 IEEE.
PY - 2026
Y1 - 2026
N2 - Objective: In infantile epileptic spasms syndrome (IESS), relapse following initial effective adrenocorticotropic hormone (ACTH) treatment presents a significant challenge, involving complex neuronal oscillation interactions. Phase-amplitude coupling (PAC) is widely used to characterize rhythmic activity interactions under pathological conditions. However, the potential impact of cross-brain region PAC at different frequencies on long-term prognosis remains unclear. Methods: This study employed cross-channel PAC analysis based on noise-assisted multivariate empirical mode decomposition (NA-MEMD) to intricately analyze the neurodynamic mechanisms of IESS relapse. Results: In processing nonlinear and non-stationary signals, the simulation analysis of cross-channel PAC further validated the superiority of the NA-MEMD method, demonstrating its advantages in mode alignment and effective suppression of mode mixing, compared to the ensemble empirical mode decomposition (EEMD) method, thereby reducing spurious coupling. The EEG results of IESS patients showed that, compared to the nonrelapse group, the relapse group of IESS patients exhibited a significant increase in cross-channel PAC intensity at relatively lower frequencies and a decrease at higher frequencies. Further network topology analysis indicated that the relapse group showed higher levels of modularity in the high-frequency band, accompanied by lower clustering coefficients, reduced betweenness centrality, and decreased global efficiency. Conclusion: The NA-MEMD-based cross-channel PAC analysis demonstrates potential as a tool for assessing relapse-related connectivity patterns and prognosis in IESS. Significance: This work offers a novel perspective on the early identification of long-term outcomes in non-structural IESS patients.
AB - Objective: In infantile epileptic spasms syndrome (IESS), relapse following initial effective adrenocorticotropic hormone (ACTH) treatment presents a significant challenge, involving complex neuronal oscillation interactions. Phase-amplitude coupling (PAC) is widely used to characterize rhythmic activity interactions under pathological conditions. However, the potential impact of cross-brain region PAC at different frequencies on long-term prognosis remains unclear. Methods: This study employed cross-channel PAC analysis based on noise-assisted multivariate empirical mode decomposition (NA-MEMD) to intricately analyze the neurodynamic mechanisms of IESS relapse. Results: In processing nonlinear and non-stationary signals, the simulation analysis of cross-channel PAC further validated the superiority of the NA-MEMD method, demonstrating its advantages in mode alignment and effective suppression of mode mixing, compared to the ensemble empirical mode decomposition (EEMD) method, thereby reducing spurious coupling. The EEG results of IESS patients showed that, compared to the nonrelapse group, the relapse group of IESS patients exhibited a significant increase in cross-channel PAC intensity at relatively lower frequencies and a decrease at higher frequencies. Further network topology analysis indicated that the relapse group showed higher levels of modularity in the high-frequency band, accompanied by lower clustering coefficients, reduced betweenness centrality, and decreased global efficiency. Conclusion: The NA-MEMD-based cross-channel PAC analysis demonstrates potential as a tool for assessing relapse-related connectivity patterns and prognosis in IESS. Significance: This work offers a novel perspective on the early identification of long-term outcomes in non-structural IESS patients.
KW - Infantile epileptic spasms syndrome
KW - network
KW - phase-amplitude coupling
KW - relapse
UR - https://www.scopus.com/pages/publications/105021507419
U2 - 10.1109/TNSRE.2025.3631471
DO - 10.1109/TNSRE.2025.3631471
M3 - Article
C2 - 41217915
AN - SCOPUS:105021507419
SN - 1534-4320
VL - 34
SP - 215
EP - 225
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
ER -