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This paper models the three-dimensional adjacent connections of brain regions based on resting-state functional magnetic resonance imaging, mainly using Brodmann’s Interactive Atlas to construct the brain network. From each fMRI brain slice, 80 independent Regions of Interest (ROIs) were identified and clustered into 8 functional groups. Train a graph attention network to classify Parkinson’s disease (PD) states. Reconstruct the brain map based on the similarity of regional relationships, and extract primitives with 4 and 5 motifs. The top 4% of motifs pairs with the highest similarity are connected to construct a new brain map. The most common five motif is the functional connection between the right parahippocampal cortex (PHC) and the left and right fusiform gyrus (FG). For 4 motifs, the most frequent was the connectivity of the left somatosensory association cortex (BA5 and BA7). Compared with existing methods, ResGAT performs outstandingly in the accurate identification of PD, highlighting its ability to capture complex functional associations and achieving high-precision identification. The functional connectivity between the right PHC and the left/right FG is expected to become a potential neuroimaging biomarker for the diagnosis of PD.

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Discovering Brain Functional Connectivity in Parkinson’s Disease from Graph Mining Perspectives

  • 会议论文

  • 发表日期：

    2026年

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  • Yan Cong,
  • Yichen Lv,
  • Jia Tang,
  • Haoli Wang,
  • Hongyu Zhou,
  • Lanlan Chen,
  • Yao Xu,
  • Xin Wang,
  • Yu Yang

摘要

This paper models the three-dimensional adjacent connections of brain regions based on resting-state functional magnetic resonance imaging, mainly using Brodmann’s Interactive Atlas to construct the brain network. From each fMRI brain slice, 80 independent Regions of Interest (ROIs) were identified and clustered into 8 functional groups. Train a graph attention network to classify Parkinson’s disease (PD) states. Reconstruct the brain map based on the similarity of regional relationships, and extract primitives with 4 and 5 motifs. The top 4% of motifs pairs with the highest similarity are connected to construct a new brain map. The most common five motif is the functional connection between the right parahippocampal cortex (PHC) and the left and right fusiform gyrus (FG). For 4 motifs, the most frequent was the connectivity of the left somatosensory association cortex (BA5 and BA7). Compared with existing methods, ResGAT performs outstandingly in the accurate identification of PD, highlighting its ability to capture complex functional associations and achieving high-precision identification. The functional connectivity between the right PHC and the left/right FG is expected to become a potential neuroimaging biomarker for the diagnosis of PD.