Spatiotemporal Progression Patterns of Dopamine Availability and Deep Gray Matter Volume in Parkinson Disease-Related Cognitive Impairment

被引:0
|
作者
Oh, Yoonsang [1 ]
Kim, Joong-Seok [1 ]
Lyoo, Chul Hyoung [2 ]
Park, Gilsoon [3 ]
Kim, Hosung [3 ]
机构
[1] Yonsei Univ, Coll Med, Dept Neurol, Seoul, South Korea
[2] Yonsei Univ, Gangnam Severance Hosp, Coll Med, Dept Neurol, Seoul, South Korea
[3] Univ Southern Calif, USC Stevens Neuroimaging & Informat Inst, Keck Sch Med, Los Angeles, CA 90007 USA
基金
新加坡国家研究基金会;
关键词
CLINICAL DIAGNOSTIC-CRITERIA; DEMENTIA; PREDICTION; BIOMARKERS; NOVO;
D O I
10.1212/WNL.0000000000209498
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Objectives Cognitive impairment is a frequent nonmotor symptom in patients with Parkinson disease (PD), and early cognitive decline is often attributed to dopaminergic system dysfunction. We aimed to explore spatiotemporal progression patterns of striatal dopamine availability and regional brain volume based on cognitive status among patients with PD. Methods This retrospective, cross-sectional study included patients with newly diagnosed PD who were not taking medication for this condition who visited a university-affiliated hospital in Seoul between January 2018 and December 2020. Patients were classified as having normal cognition (PD-NC), mild cognitive impairment (PD-MCI), or PD dementia (PDD) based on Seoul Neuropsychological Screening Battery-II, which includes 31 subsets covering activities of daily living and 5 cognitive domains. They all had brain imaging with MRI and PET with F-18-N-(3-fluoropropyl)-2beta-carbon ethoxy-3beta-(4-iodophenyl) nortropane at baseline. Subsequently, standardized uptake value ratios (SUVRs) for regional dopamine availability and regional gray matter volumes were obtained using automated segmentation. These metrics were compared across cognitive status groups, and spatiotemporal progression patterns were analyzed using the Subtype and Stage Inference machine learning technique. Results Among 168 patients (mean age, 73.3 +/- 6.1 years; 81 [48.2%] women), 65 had PD-NC, 65 had PD-MCI, and 38 had PDD. Patients with PD-MCI exhibited lower SUVRs (3.61 +/- 1.31, p < 0.001) in the caudate than patients with PD-NC (4.43 +/- 1.21) but higher SUVRs than patients with PDD (2.39 +/- 1.06). Patients with PD-NC had higher thalamic SUVRs (1.55 +/- 0.16, p < 0.001) than patients with both PD-MCI (1.45 +/- 0.16) and PDD (1.38 +/- 0.19). Regional deep gray matter volumes of the caudate (p = 0.015), putamen (p = 0.012), globus pallidus (p < 0.001), thalamus (p < 0.001), hippocampus (p < 0.001), and amygdala (p < 0.001) were more reduced in patients with PD-MCI or PDD than in patients with PD-NC, and the SUVR of the caudate correlated with caudate volume (r = 0.187, p = 0.015). Hippocampal atrophy was the initial change influencing cognitive impairment. The reduced dopamine availability of the thalamus preceded reductions in volume across most deep gray matter regions. Discussion Our finding underscores the association between decreased dopamine availability and volume of the caudate and thalamus with cognitive dysfunction in PD. The dopamine availability of the caudate and thalamus was reduced before the volume of the caudate and thalamus was decreased, highlighting the spatiotemporal association between dopaminergic and structural pathology in cognitive impairment in PD.
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