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Altered degree centrality and resting-state functional connectivity in epilepsy patients with focal to bilateral tonic-clonic seizures.

March 29, 2026pubmed logopapers

Authors

Zhao C,Jiang P,Yan B,Chen J,Yang S,Liang Y,Li Y,Wu X,Tang Y,Gong Q,Zhou D

Affiliations (11)

  • Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China. Electronic address: [email protected].
  • Department of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; West China Medical Publishers, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Psychoradiology Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China. Electronic address: [email protected].
  • Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China. Electronic address: [email protected].
  • Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China. Electronic address: [email protected].
  • School of Cybersecurity (Xin Gu Industrial College), Chengdu University of Information Technology, Chengdu, Sichuan 610225, China. Electronic address: [email protected].
  • Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China. Electronic address: [email protected].
  • Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China. Electronic address: [email protected].
  • Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China. Electronic address: [email protected].
  • Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China. Electronic address: [email protected].
  • Department of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Psychoradiology Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China. Electronic address: [email protected].
  • Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China. Electronic address: [email protected].

Abstract

Focal to bilateral tonic-clonic seizures (FBTCS) is a severe form of seizure associated with various adverse events. This study aimed to characterize abnormalities in the resting-state brain network related to FBTCS and use those findings to fit machine learning models for individual-level identification of patients with FBTCS. T1-weighted and resting-state functional magnetic resonance imaging (rfMRI) data were acquired from 84 patients with FBTCS (FBTCS+), 47 patients without FBTCS (FBTCS-), and 81 matched healthy controls (HCs). Amplitude of low-frequency fluctuations (ALFF), regional homogeneity (ReHo), and degree centrality (DC) were calculated across whole brain and compared among 3 groups. Brain regions with significant differences between FBTCS+ and FBTCS- groups were seeded for resting-state functional connectivity (rs-FC) analysis. Four models were employed to classify FBTCS+ from FBTCS- patients at the individual level. Compared to HCs, both FBTCS+ and FBTCS- patients exhibited diffuse alterations in ALFF, ReHo, and DC, with similar patterns but more significant and widespread in FBTCS+ patients. Direct comparison demonstrated significant increase of DC in the ipsilateral temporal pole, with rs-FC increase to the ipsilateral lingual gyrus and the contralateral temporal pole and superior temporal gyrus, in the FBTCS+ patients relative to FBTCS- patients. Using significant differences as features, four classifiers performed well to distinguish FBTCS+ patient from FBTCS- patient, achieving an average AUC of 0.76. Ipsilateral temporal pole showed increased neural activity and hyper-connection to the temporo-occipital regions in FBTCS+ patients, which provide additional insights for FBTCS and carry individual-level information for sensitive identification of FBTCS+ patient.

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