JOURNAL ARTICLE

A brain structure learning-guided multi-view graph representation learning for brain network analysis

Tao WangZenghui DingXianjun YangYanyan ChenChanghua LuYining Sun

Year: 2024 Journal:   Quantitative Imaging in Medicine and Surgery Vol: 14 (9)Pages: 6294-6310   Publisher: AME Publishing Company

Abstract

These findings demonstrate that our method of combining multi-view graph learning and brain structure learning can effectively capture crucial structural information in brain networks while facilitating the acquisition of feature information from diverse perspectives, thereby improving the performance of brain network analysis.

Keywords:
Interconnectivity Computer science Resting state fMRI Graph Representation (politics) Artificial intelligence Machine learning Neuroscience Theoretical computer science Psychology

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0.70
FWCI (Field Weighted Citation Impact)
35
Refs
0.61
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Citation History

Topics

Functional Brain Connectivity Studies
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Neural dynamics and brain function
Life Sciences →  Neuroscience →  Cognitive Neuroscience
EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
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