Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages.

Authors:
Zheng S; Zhang X; Song P; Hu Y; Gong X and 1 more

Journal:
Front Comput Neurosci

Publication Year: 2023

DOI:
10.3389/fncom.2023.1211096

PMCID:
PMC10570412

PMID:
37841676

Journal Information

Full Title: Front Comput Neurosci

Abbreviation: Front Comput Neurosci

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Neurosciences

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

Evidence found in paper:

"This work was partially supported by the National Key R&D Program of China (Grant No. 2022YFC3600300), the National Natural Science Foundation of China (Grant No. 11971020), Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science (No. 2022B1212010006), and Chongqing Science and Health Joint Medical Research Project (No. 2023MSXM137)."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025