Brain biological age, which measures the aging process in the brain using neuroimaging data, has been used to assess advanced brain aging in neurodegenerative diseases, including Parkinson disease (PD). However, assuming that whole brain degeneration is uniform may not be sufficient for assessing the complex neurodegenerative processes in PD. In this study we constructed a multiscale brain age prediction models based on structural MRI of 1240 healthy participants. To assess the brain aging patterns using the brain age prediction model, 93 PD patients and 91 healthy controls matching for sex and age were included. We found increased global and regional brain age in PD patients. The advanced aging regions were predominantly noted in the frontal and temporal cortices, limbic system, basal ganglia, thalamus, and cerebellum. Furthermore, region-level rather than global brain age in PD patients was associated with disease severity. Our multiscale brain age prediction model could aid in the development of objective image-based biomarkers to detect advanced brain aging in neurodegenerative diseases.

中文翻译：

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多尺度大脑年龄预测揭示了帕金森病中特定区域的大脑老化加速


大脑生物年龄利用神经影像数据测量大脑的衰老过程，已被用于评估神经退行性疾病（包括帕金森病（PD））中的晚期大脑衰老。然而，假设全脑变性是均匀的可能不足以评估 PD 中复杂的神经退行性过程。在这项研究中，我们基于 1240 名健康参与者的结构 MRI 构建了多尺度脑年龄预测模型。为了使用大脑年龄预测模型评估大脑衰老模式，纳入了 93 名 PD 患者和 91 名性别和年龄匹配的健康对照。我们发现帕金森病患者的整体和区域大脑年龄增加。晚期衰老区域主要集中在额叶和颞叶皮质、边缘系统、基底神经节、丘脑和小脑。此外，帕金森病患者的区域水平而非整体大脑年龄与疾病严重程度相关。我们的多尺度大脑年龄预测模型可以帮助开发基于图像的客观生物标志物，以检测神经退行性疾病中的高级大脑老化。