在帕金森病中结步态转换的区域均性和功能连接性
Yiqing Bao1, Yang Ya1, Jing Liu2
1Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Frontiers in aging neuroscience
|July 28, 2023
概括
在帕金森病 (PD) 中早期发现步态结 (FOG) 是至关重要的. 基底和边缘区域的异常大脑活动,以及较高的PIGD分数,可以预测FOG转化.
科学领域:
- 神经科学是一个神经科学.
- 神经学 神经学
- 医疗成像医学成像
背景情况:
- 步态结 (FOG) 是晚期帕金森病 (PD) 的常见和致残症状.
- 早期识别FOG对于及时的治疗干预和改善患者生活质量至关重要.
- 这项研究调查了神经成像标记器,用于预测FOG发育.
研究的目的:
- 在转换为FOG的个体中探索异常的区域同质性 (ReHo) 和功能连接性 (FC).
- 评估这些神经成像标记物的诊断价值,以预测FOG转化.
- 为了将大脑活动模式与帕金森病的临床症状相关联.
主要方法:
- 利用了来自帕金森病进展标记项目 (PPMI) 队列的数据.
- 将参与者分类为PD-FOG转换者 (n=16),非转换者 (n=17) 和匹配的健康对照 (n=16).
- 将ReHo和FC分析应用于基线数据,然后进行相关性,逻辑回归和ROC曲线分析.
主要成果:
- FOG转换器在中枢上端额头回形中显示了降低的ReHo,与PIGD得分负相关.
- 杏仁体/嗅觉皮质/皮质层中降低的ReHo与焦虑和自主功能障碍相关.
- 在FOG转换器中观察到基底,边缘区域和认知控制皮质的CF减少;结合基底/边缘ReHo和PIGD得分的模型最好的预测转换.
结论:
- 基底,边缘区域和认知控制皮层中的异常ReHo和FC可能表明早期FOG.
- 基底和边缘区域功能障碍,加上较高的PIGD分数,对于早期FOG转化识别有价值.
- 这些发现突出了潜在的神经成像生物标志物,用于预测帕金森病中FOG的发展.
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