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Pre-ictal causal connectivity reveals the epileptic network characteristics for deep brain stimulation

  • Yifan Wang
  • , Tao Yu
  • , Yulan Ma
  • , Weigang Cui
  • , Xueyuan Wang
  • , Liankun Ren
  • , Yang Li*
  • *Corresponding author for this work
  • Beihang University
  • Capital Medical University

Research output: Contribution to journalArticlepeer-review

Abstract

Deep brain stimulation of anterior nucleus of the thalamus (ANT-DBS) is an effective clinical treatment for drug-resistant focal epilepsy. However, the complex epileptic network characteristics underlying ANT-stimulation effectiveness remain unknown, owing to currently unclear connectivity between ANT and seizure-related cortex in pre-ictal periods. Here, we developed a novel individualized pre-ictal ANT-cortical tripartite connectivity network (PANT-CTCNet), aiming to reveal epileptic network characteristics using intracranial stereo-electroencephalography (sEEG) recordings in five patients with focal epilepsy for 90 trials. Each trial represented a pre-ictal or post-stimulus sEEG duration, which was used to construct the epileptic network. By employing conditional Granger causality, we constructed individualized ANT-cortical connectivity networks and found a common epileptic network centred on ANT closely connected with seizure-related cortex in pre-ictal periods. After ANT stimulation for clinical validation, strengthened pre-ictal connectivity between ANT and epileptogenic zones led to significant decline in the causal intensity of epileptic networks. The PANT-CTCNet can give a quantitative reference for clinical preoperative evaluation of patient suitability for ANT-DBS treatment. These findings regarding epileptic network characteristics provide theoretical basis in the selection of optimal surgical candidates for personalized ANT-DBS.

Original languageEnglish
Pages (from-to)329-343
Number of pages15
JournalNeuroscience
Volume579
DOIs
StatePublished - 23 Jul 2025

Keywords

  • Anterior nucleus of the thalamus
  • Epilepsy
  • Epileptic network characteristics
  • Neuromodulation
  • Stereo-electroencephalography

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