ArticleQuantitative imaging in medicine and surgery2026
Superficial white matter (SWM) microstructural alterations in Parkinson's disease: a neurite orientation dispersion and density imaging and diffusion tensor imaging study.
Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Superficial white matter (SWM) tracts serve not only as critical structural links connecting adjacent brain regions but also as key components of the brain's complex neural network communication system. However, research on microstructural alterations in SWM tracts associated with Parkinson's disease (PD) remains limited. This study aimed to investigate the characteristics of microstructural alterations in the SWM tracts of PD patients and their correlations with clinical measures. Methods: A total of 35 PD patients and 36 healthy controls (HCs) were enrolled in this study. SWM tracts were reconstructed using probabilistic fiber tracking and tract-based spatial statistics (TBSS). Combining neurite orientation dispersion and density imaging (NODDI) with diffusion tensor imaging (DTI), the following metrics from the SWM were extracted: fractional anisotropy (FA), mean diffusivity (MD), neurite density index (NDI), and orientation dispersion index (ODI). Voxel-wise between-group differences in brain structure were examined with threshold-free cluster enhancement (TFCE) correction for multiple comparisons, and statistical significance was defined as P Results: The DTI analysis of the SWM revealed significantly reduced FA in the lateral occipital cortex, superior division (LOCs), and precuneous cortex (PcC) of the PD patients, accompanied by increased MD in the LOCs and angular gyrus (AG) (all P Conclusions: PD patients exhibit characteristic patterns of SWM microstructural alterations, which correlate with disease severity and may contribute to pathophysiological processes in the cortico-cortical pathways of PD. SWM imaging techniques combining DTI with the NODDI model offer novel imaging perspectives for investigating the mechanisms underlying neurodegenerative changes in PD.
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