Human Brain Mapping· 2026Q1
DTI‐ALPS Primarily Reflects White Matter Diffusion Dispersion and Microstructural Heterogeneity in Neurodegeneration: Insights From Multi‐Modal MRI
- 2citations
- Q1SCImago
- 2026year
Short summary
DTI-ALPS, proposed as a marker for brain glymphatic flow, instead strongly correlates with white matter diffusion dispersion (MA, r = -0.86) and microstructural heterogeneity (ODI, r = 0.73) in individuals with suspected neurodegeneration.
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Key points
- DTI-ALPS shows strong inverse correlation with mode of anisotropy (MA) at high b-values (r = -0.86) and positive correlation with orientation dispersion index (ODI) (r = 0.73).
- Moderate correlations with T1/FLAIR ratio and diamagnetic susceptibility (DCS) indicate sensitivity to white matter alterations.
- Factor analysis suggests DTI-ALPS clusters with MA and ODI, indicating it primarily reflects white matter diffusion dispersion and heterogeneity.
- The findings imply DTI-ALPS may lack specificity for glymphatic flow in neurodegenerative contexts.
AI-generated from the title and abstract; the full text is not read.
Abstract
1. ABSTRACT 1.1 Background The glymphatic system facilitates clearance of metabolic waste and pathological proteins from the brain, and its dysfunction has been implicated in neurodegenerative disease. The diffusion tensor imaging–analysis along the perivascular space (DTI-ALPS) has been proposed as a non-invasive MRI marker of glymphatic flow, although its biological specificity remains uncertain. This study aimed to identify the determinants of DTI-ALPS and evaluate whether it primarily reflects white-matter (WM) microstructure rather than glymphatic flow in the context of neurodegeneration. 1.2 Methods We examined 100 individuals referred to the Memory Clinic of the Policlinico Hospital in Milan for suspected dementia. All participants underwent a 3T-MRI protocol including 3D-T1-weighted and 3D-FLAIR imaging, double-shell diffusion-weighted imaging (b=1000/2000 s/mm²), and multi-echo gradient-echo sequences for quantitative susceptibility mapping. Within standard DTI-ALPS ROIs, we extracted DTI-ALPS values together with fractional anisotropy (FA), mean diffusivity (MD), and mode of anisotropy (MA) at both b-values, as well as neurite orientation and density imaging (NODDI) metrics, particularly the orientation dispersion index (ODI). WM microstructure was further characterized using the T1/FLAIR ratio and diamagnetic component of susceptibility (DCS). 1.3 Results and conclusions DTI-ALPS correlated inversely with MA (r = –0.84 at b = 1000; r = –0.86 at b = 2000) and positively with ODI (r = 0.73). Moderate correlations with the T1/FLAIR ratio and DCS supported sensitivity to WM alterations. Factor analysis indicated that DTI-ALPS clustered with MA and ODI rather than forming a distinct factor, suggesting that DTI-ALPS primarily reflects WM diffusion dispersion and heterogeneity rather than glymphatic flow in the context of neurodegeneration. Keypoints DTI-ALPS links strongly with mode of anisotropy at high b-values and orientation dispersion, indicating crossing-fibers loss DTI-ALPS is moderately associated to T1/FLAIR ratio and diamagnetic susceptibility values, reflecting microstructural WM changes DTI-ALPS reflects primarily WM features and may lack specificity for glymphatic flow in the context of neurodegeneration.
The authors' abstract, as published at the source. Human Brain Mapping, 2026 · DOI ↗
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Field: Cellular and Molecular Neuroscience
Cellular and Molecular NeuroscienceNeuroscience