The use of whole-brain network topology and weighted gene coexpression analysis to identify potential imaging and molecular markers for glioma grading

Wavelet-based individualized brain structural networks have been proposed for glioma grading models, resulting in novel imaging and molecular markers for cancer neuroscience.

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Publication Details

Journal
Brain Research Bulletin
Published
2026-02-04
DOI
https://doi.org/10.1016/j.brainresbull.2026.111765
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

The use of whole-brain network topology and weighted gene coexpression analysis to identify potential imaging and molecular markers for glioma grading

Xun‐Heng Wang, Yue Yuan
Brain Research Bulletin
Glioma Diagnosis and Treatment
article

The use of whole-brain network topology and weighted gene coexpression analysis to identify potential imaging and molecular markers for glioma grading

Xun‐Heng Wang, Yue Yuan
article en

Abstract

Wavelet-based individualized brain structural networks have been proposed for glioma grading models, resulting in novel imaging and molecular markers for cancer neuroscience.

Brain Research BulletinVol. 236
Hangzhou Dianzi University (CN)
Good health and well-being
Openalex Percentile: Top 67%
Glioma Diagnosis and Treatment
DOIOpen Access PDFOpenAlex
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The use of whole-brain network topology and weighted gene coexpression analysis to identify potential imaging and molecular markers for glioma grading — Xun‐Heng Wang, Yue Yuan · Brain Research Bulletin (2026) | TGRS Research Map | TGRS