High-order brain network feature extraction and classification method of first-episode schizophrenia: an EEG study

The proposed method demonstrates clinical significance for the early identification and diagnosis of first-episode schizophrenia patients, offering a new research perspective for constructing higher-order functional connectivity networks and extracting topological structure features.

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Publication Details

Journal
Frontiers in Human Neuroscience
Published
2024-10-23
DOI
https://doi.org/10.3389/fnhum.2024.1452197
Citations
4
Primary Topic
Topological and Geometric Data Analysis
Type
article
Field-Weighted Citation Impact
1.45

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article

High-order brain network feature extraction and classification method of first-episode schizophrenia: an EEG study

Shuping Tan, Guimei Yin, Zilong Zhao, Yuan Dong et al.
4 citations
Frontiers in Human Neuroscience
Topological and Geometric Data Analysis
1.45
article

High-order brain network feature extraction and classification method of first-episode schizophrenia: an EEG study

Shuping Tan, Guimei Yin, Zilong Zhao, Yuan Dong, Manjie Zhang, Yanli Zhao, Yanxia Kang, Jianghao Zhao
article en
4 citations

Abstract

The proposed method demonstrates clinical significance for the early identification and diagnosis of first-episode schizophrenia patients, offering a new research perspective for constructing higher-order functional connectivity networks and extracting topological structure features.

Frontiers in Human NeuroscienceVol. 18
Sun Yat-sen University (CN), Taiyuan Normal University (CN), Beijing HuiLongGuan Hospital (CN)
Natural Science Foundation of Shanxi Province, Taiyuan Normal University, Division of Graduate Education
Quality Education
Openalex Percentile: Top 16%
Topological and Geometric Data Analysis
1.45
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High-order brain network feature extraction and classification method of first-episode schizophrenia: an EEG study — Shuping Tan, Guimei Yin, et al. · Frontiers in Human Neuroscience (2024) | TGRS Research Map | TGRS