Longitudinal evolution of cortical thickness signature reflecting Lewy body dementia in isolated REM sleep behavior disorder: a prospective cohort study.

IF 10.8 1区 医学 Q1 NEUROSCIENCES
Jung Hwan Shin, Heejung Kim, Yu Kyeong Kim, Eun Jin Yoon, Hyunwoo Nam, Beomseok Jeon, Jee-Young Lee
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引用次数: 1

Abstract

Background: The isolated rapid-eye-movement sleep behavior disorder (iRBD) is a prodromal condition of Lewy body disease including Parkinson's disease and dementia with Lewy bodies (DLB). We aim to investigate the longitudinal evolution of DLB-related cortical thickness signature in a prospective iRBD cohort and evaluate the possible predictive value of the cortical signature index in predicting dementia-first phenoconversion in individuals with iRBD.

Methods: We enrolled 22 DLB patients, 44 healthy controls, and 50 video polysomnography-proven iRBD patients. Participants underwent 3-T magnetic resonance imaging (MRI) and clinical/neuropsychological evaluations. We characterized DLB-related whole-brain cortical thickness spatial covariance pattern (DLB-pattern) using scaled subprofile model of principal components analysis that best differentiated DLB patients from age-matched controls. We analyzed clinical and neuropsychological correlates of the DLB-pattern expression scores and the mean values of the whole-brain cortical thickness in DLB and iRBD patients. With repeated MRI data during the follow-up in our prospective iRBD cohort, we investigated the longitudinal evolution of the cortical thickness signature toward Lewy body dementia. Finally, we analyzed the potential predictive value of cortical thickness signature as a biomarker of phenoconversion in iRBD cohort.

Results: The DLB-pattern was characterized by thinning of the temporal, orbitofrontal, and insular cortices and relative preservation of the precentral and inferior parietal cortices. The DLB-pattern expression scores correlated with attentional and frontal executive dysfunction (Trail Making Test-A and B: R = - 0.55, P = 0.024 and R = - 0.56, P = 0.036, respectively) as well as visuospatial impairment (Rey-figure copy test: R = - 0.54, P = 0.0047). The longitudinal trajectory of DLB-pattern revealed an increasing pattern above the cut-off in the dementia-first phenoconverters (Pearson's correlation, R = 0.74, P = 6.8 × 10-4) but no significant change in parkinsonism-first phenoconverters (R = 0.0063, P = 0.98). The mean value of the whole-brain cortical thickness predicted phenoconversion in iRBD patients with hazard ratio of 9.33 [1.16-74.12]. The increase in DLB-pattern expression score discriminated dementia-first from parkinsonism-first phenoconversions with 88.2% accuracy.

Conclusion: Cortical thickness signature can effectively reflect the longitudinal evolution of Lewy body dementia in the iRBD population. Replication studies would further validate the utility of this imaging marker in iRBD.

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反映路易体痴呆的单独快速眼动睡眠行为障碍的皮质厚度特征的纵向演化:一项前瞻性队列研究。
背景:孤立性快速眼动睡眠行为障碍(iRBD)是路易体病包括帕金森病和路易体痴呆(DLB)的前驱症状。我们的目的是在一个前瞻性iRBD队列中研究与dlb相关的皮质厚度特征的纵向演变,并评估皮质特征指数在预测iRBD患者痴呆症优先表型转化方面的可能预测价值。方法:我们招募了22名DLB患者,44名健康对照者和50名视频多导睡眠图证实的iRBD患者。参与者接受了3-T磁共振成像(MRI)和临床/神经心理学评估。我们使用主成分分析的缩放亚剖面模型来表征与DLB相关的全脑皮质厚度空间协方差模式(DLB-pattern),该模型最好地将DLB患者与年龄匹配的对照组区分开来。我们分析了DLB和iRBD患者DLB模式表达评分和全脑皮质厚度平均值的临床和神经心理学相关因素。在我们的前瞻性iRBD队列随访期间,通过重复的MRI数据,我们研究了皮层厚度特征对路易体痴呆的纵向演变。最后,我们分析了皮质厚度特征作为iRBD队列表型转化的生物标志物的潜在预测价值。结果:dlb模式的特点是颞、眶额和岛叶皮质变薄,中央前和下顶叶皮质相对保留。dlp模式表达得分与注意和额叶执行功能障碍(Trail Making test - a和B: R = - 0.55, P = 0.024和R = - 0.56, P = 0.036)以及视觉空间障碍(Rey-figure copy test: R = - 0.54, P = 0.0047)相关。dlb型的纵向轨迹显示,痴呆优先表型转换者的dlb型在临界值以上呈增加趋势(Pearson’s相关性,R = 0.74, P = 6.8 × 10-4),而帕金森优先表型转换者的dlb型无显著变化(R = 0.0063, P = 0.98)。全脑皮质厚度的平均值预测iRBD患者的表型转化,风险比为9.33[1.16-74.12]。dlb模式表达评分的增加区分痴呆症优先和帕金森优先表型转化的准确率为88.2%。结论:皮质厚度特征能有效反映iRBD人群中路易体痴呆的纵向演变。复制研究将进一步验证该成像标记在iRBD中的实用性。
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来源期刊
Translational Neurodegeneration
Translational Neurodegeneration Neuroscience-Cognitive Neuroscience
CiteScore
19.50
自引率
0.80%
发文量
44
审稿时长
10 weeks
期刊介绍: Translational Neurodegeneration, an open-access, peer-reviewed journal, addresses all aspects of neurodegenerative diseases. It serves as a prominent platform for research, therapeutics, and education, fostering discussions and insights across basic, translational, and clinical research domains. Covering Parkinson's disease, Alzheimer's disease, and other neurodegenerative conditions, it welcomes contributions on epidemiology, pathogenesis, diagnosis, prevention, drug development, rehabilitation, and drug delivery. Scientists, clinicians, and physician-scientists are encouraged to share their work in this specialized journal tailored to their fields.
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