ArticleNeuroImage2026
Deep-learning saturation transfer magnetic resonance fingerprinting (ST-MRF) in patients with Parkinson's disease.
Article in NeuroImage, 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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8 authors.
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Abstract
Parkinson's disease (PD) is marked by progressive neurodegeneration in the substantia nigra (SN). This study evaluated deep-learning saturation-transfer magnetic resonance fingerprinting (ST-MRF) to quantify molecular and microstructural changes in PD. We examined 23 patients with PD (PwPD) and 22 matched healthy controls (HCs) using multimodal imaging, including ST-MRF. ST-MRF detected significant molecular and microstructural alterations in the SN of PwPD compared to HCs, including increases in magnetization transfer ratio at 3.5 ppm (MTR(3.5ppm, 1.5 µT); 0.612 ± 0.022 vs. 0.597 ± 0.021, p = 0.014), MTR(-3.5ppm, 1.5 µT); 0.614 ± 0.021 vs. 0.586 ± 0.019, p = 0.008)), and decreases in T
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