Directed graph neural networks with partial directed coherence for seizure prediction and epileptogenic network characterization.

Chenshuo Zhao, Hui Huang, Chao Fang, Hong Zhang, Suyue Zheng

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Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Chenshuo ZhaoDepartment of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Hui HuangDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.

Chao FangDepartment of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Hong ZhangDepartment of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Suyue ZhengDepartment of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang, China.

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No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While electroencephalography (EEG) analyses using undirected connectivity are well-established for seizure prediction and epileptogenic zone (EZ) network characterization, the complementary value of directed connectivity in graph neural networks (GNNs) remains unclear. We integrated partial directed coherence (PDC) graphs into a Digraph Inception Convolutional Network (DiGCN) to preserve directional edge information for seizure prediction, achieving accuracies of 96.11 ± 0.76%, 96.32 ± 0.70%, and 97.69 ± 0.67% on CHB-MIT, Siena, and the institutional cohort, respectively. In the institutional cohort, preictal modularity and small-world index were both significantly elevated (

Indexed as

directed graph neural networksepileptogenic network characterizationexplainable artificial intelligencepartial directed coherenceseizure prediction

Identifiers

PMID42621081

DOI10.1016/j.isci.2026.117068

PMCPMC13486768

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.