@article{QIMS154900,
author = {Yuefei Liang and Guixing Fu and Sibo Huang and Wenjie He and Zekai Chen and Mengting Liu and Jun Xia},
title = {Associations between altered morphometric inverse divergence networks, choroid plexus volume, and perivascular space network in patients with Parkinson disease: a cross-sectional study},
journal = {Quantitative Imaging in Medicine and Surgery},
volume = {16},
number = {7},
year = {2026},
keywords = {},
abstract = {Background: Recent evidence suggests that Parkinson disease (PD) involves structural alterations in gray-matter volume, cortical surface area, and cortical thickness. Clinical symptoms of PD have also been associated with the choroid plexus (CP) volume and perivascular space (PVS) network parameters. However, the relationship between morphometric inverse divergence (MIND) network alterations and CP volume or PVS network parameters in PD remains unclear. This study aimed to clarify these associations via multimodal imaging analyses.Methods: This retrospective study included healthy controls (HCs; n=82) and patients with PD (n=99) who underwent 3.0-T magnetic resonance imaging (MRI). MIND network analysis quantified interregional structural similarity through use of multiple anatomical MRI measures across brain regions. CP volume and PVS network parameters, including extracellular free water (FW) fraction, diffusion tensor imaging-analysis along the PVS (DTI-ALPS) index, and PVS volume fraction (PVSVF), were calculated. Pearson correlation coefficients were used to assess statistical associations.Results: MIND values were predominantly lower in the frontal and occipital cortical regions and higher in the cingulate and insular cortical regions in patients with PD (P},
issn = {2223-4306}, url = {https://qims.amegroups.org/article/view/154900}
}