Abstracts

Dynamic Evolution of Frontal-temporal Network Connectivity in Temporal Lobe Epilepsy: A Magnetoencephalography Study

Abstract number : 1.267
Submission category : 3. Neurophysiology / 3D. MEG
Year : 2024
Submission ID : 797
Source : www.aesnet.org
Presentation date : 12/7/2024 12:00:00 AM
Published date :

Authors :
Xinyan Liu, BS – School of Biological Science and Medical Engineering, Beihang University, Beijing, China
Jiaqi Han, PhD – Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
Xiating Zhang, PhD – Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
Qilin Zhou, PhD – Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Zhaoyang Huang, PhD – Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
Yuping Wang, PhD – Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
Jicong Zhang, PhD – School of Biological Science and Medical Engineering, Beihang University, Beijing, China
Presenting Author: Yicong Lin, PhD – China Association Against Epilepsy


Rationale:
Temporal lobe epilepsy (TLE) frequently involves an intricate extensive epileptic frontal-temporal network. This study aimed to investigate the interactions between temporal and frontal regions and the dynamic patterns of the frontal-temporal network in TLE patients during disease progression.




Methods:
Fifty-seven magnetoencephalography data were collected from 36 postoperative seizure-free TLE patients with long-term follow-up of at least 1 year, and 21 age- and sex-matched healthy individuals. The patients were divided into two groups: 18 patients with long-term disease durations and 18 patients with short-term disease durations. This study examined the intraregional phase-amplitude coupling (PAC) between theta phase and alpha amplitude across the whole brain. The interregional directed phase transfer entropy (dPTE) between frontal and temporal regions in the alpha and theta bands, and the interregional cross-frequency directionality (CFD) between temporal and frontal regions within the theta phase and alpha amplitude were further computed and compared among groups. Partial correlation analysis was conducted to investigate correlations between intraregional PAC, interregional dPTE connectivity, interregional CFD and disease duration.




Results:
In TLE patients, whole-brain intraregional PAC analyses revealed enhanced theta phase-alpha amplitude coupling within the ipsilateral temporal and frontal regions, and the temporal PAC was positively correlated with disease duration (r = 0.35, p < 0.05). Interregional dPTE analyses demonstrated a gradually increased frontal-to-temporal connectivity within the alpha band, while the direction of theta-band connectivity was reversed from frontal-to-temporal to temporal-to-frontal as the disease progressed. Interregional CFD analyses showed a inhibitory effect of frontal regions on temporal regions gradually increased with disease progression (r = -0.36, p < 0.05).




Conclusions:
This study clarified the intrinsic reciprocal connectivity between temporal and frontal regions with TLE progression. We propose a dynamic reorganized triple-stage network transition from balanced networks to constrained networks and further progress to imbalanced networks.




Funding:
This work was supported by Beijing Natural Science Foundation [Grant No. Z200024], Beijing Hospitals Authority [Grant No. PX2023032], National Natural Science Foundation of China [Grant No. 81801283].




Neurophysiology