TY - JOUR
T1 - Temporal Dynamics of Functional Connectivity in Temporal and Extra-Temporal Lobe Epilepsy
T2 - A Magnetoencephalography-Based Study
AU - Suhas, M. V.
AU - Mariyappa, N.
AU - Kotegar, Karunakar
AU - Ravindranadh Chowdary, M.
AU - Raghavendra, K.
AU - Asranna, Ajay
AU - Viswanathan, L. G.
AU - Sinha, Sanjib
AU - Anitha, H.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2025
Y1 - 2025
N2 - Goal: This study aims to explore the temporal dynamics of functional connectivity in drug-resistant focal epilepsy, focusing on Temporal Lobe Epilepsy (TLE) and Extra-Temporal Lobe Epilepsy (ETLE), using magnetoencephalography (MEG). Methods: Temporal metrics such as Change Between States, Entropy of Transition Patterns, Entropy of Transition Probabilities, Dwell Time, Stability, and Max L1 Distance derived from dynamic functional connectivity matrices were analyzed across eight frequency bands (delta, theta, alpha, beta, low gamma, mid gamma, high gamma and broadband) in TLE and ETLE patients. Results: Significant differences were observed between TLE and ETLE. ETLE exhibited more widespread and unpredictable connectivity transitions, while TLE demonstrated localized and structured patterns. Entropy metrics indicated higher randomness in ETLE, and dwell time analysis revealed shorter state persistence in ETLE compared to TLE. Conclusions: The findings highlight the potential of MEG-based temporal connectivity metrics in characterizing network disruptions in focal epilepsy.
AB - Goal: This study aims to explore the temporal dynamics of functional connectivity in drug-resistant focal epilepsy, focusing on Temporal Lobe Epilepsy (TLE) and Extra-Temporal Lobe Epilepsy (ETLE), using magnetoencephalography (MEG). Methods: Temporal metrics such as Change Between States, Entropy of Transition Patterns, Entropy of Transition Probabilities, Dwell Time, Stability, and Max L1 Distance derived from dynamic functional connectivity matrices were analyzed across eight frequency bands (delta, theta, alpha, beta, low gamma, mid gamma, high gamma and broadband) in TLE and ETLE patients. Results: Significant differences were observed between TLE and ETLE. ETLE exhibited more widespread and unpredictable connectivity transitions, while TLE demonstrated localized and structured patterns. Entropy metrics indicated higher randomness in ETLE, and dwell time analysis revealed shorter state persistence in ETLE compared to TLE. Conclusions: The findings highlight the potential of MEG-based temporal connectivity metrics in characterizing network disruptions in focal epilepsy.
UR - https://www.scopus.com/pages/publications/105010916739
UR - https://www.scopus.com/pages/publications/105010916739#tab=citedBy
U2 - 10.1109/OJEMB.2025.3587954
DO - 10.1109/OJEMB.2025.3587954
M3 - Article
AN - SCOPUS:105010916739
SN - 2644-1276
VL - 6
SP - 507
EP - 514
JO - IEEE Open Journal of Engineering in Medicine and Biology
JF - IEEE Open Journal of Engineering in Medicine and Biology
ER -