ArticleBMC neurology2025
Assessing cognitive impairment in OSAHS patients through NODDI-based gray matter analysis.
Article in BMC neurology, 2025. 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
backgroundThis study employed neurite orientation dispersion and density imaging (NODDI) to investigate gray matter microstructural changes in obstructive sleep apnea hypopnea syndrome (OSAHS) patients with cognitive impairment, assessing early diagnostic potential.
methodsThe study comprised 23 OSAHS patients (OSA-NCI group), 43 OSAHS patients with experiencing cognitive impairment (OSA-CI group), and 15 healthy controls (HC group). Fractional anisotropy (FA), neurite density index (NDI), orientation dispersion index (ODI), and volume fraction of isotropic water molecules (Viso) in regions of interest (ROIs) were calculated. Correlations between these parameters and Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) scores were examined. Diagnostic effect was evaluated using receiver operating characteristic (ROC) curve analysis, and area under the curve (AUC) was calculated.
resultsSignificant variations were observed in the NDI, ODI, Viso, and FA. Compared to HCs, the NDI and ODI in the OSA-NCI group decreased, while the Viso value increased. NDI and ODI showed slight increases in the OSA-CI group but remained below HC levels; Viso significantly increased. However, FA did not significantly differ. NDI, ODI, and Viso strongly correlated with MoCA scores in specific gray matter regions; FA showed weak correlations (r < 0.5). ROC analysis confirmed the effectiveness of the NODDI parameters, with average AUC values of 0.689 for the Viso value, 0.676 for the ODI, and 0.635 for the NDI; however, FA showed limited diagnostic utility (AUC 0.452).
conclusionThis study suggests the potential diagnostic utility of NODDI in detecting gray matter pathology in OSAHS patients with cognitive impairment, though further validation in larger, independent cohorts is needed.
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