确定成功衰老的关键大脑网络和功能连接:一个基于表面的静止状态功能磁共振研究
Jiao-Jiao Sun1,2, Li Zhang3, Ru-Hong Sun2
1Department of Psychiatry, The Affiliated Mental Health Center of Jiangnan University, Wuxi 214151, Jiangsu Province, China.
World journal of psychiatry
|March 20, 2025
概括
成功的衰老 (SA) 与特定的大脑网络功能连接 (FC) 模式有关. 识别这些大脑网络特征可能有助于理解衰老机制并发现生物标志物.
科学领域:
- 神经科学是一个神经科学.
- 老年学是一门学科.
- 医疗成像医学成像
背景情况:
- 成功的衰老 (SA) 涉及在晚年生活中保持高水平的身体,认知,心理和社会参与.
- 高认知功能是实现成功衰老的关键组成部分.
研究的目的:
- 研究与成功衰老相关的大脑网络和功能连接 (FC) 特性.
- 为了识别潜在的神经成像生物标志物,成功的衰老.
主要方法:
- 招募了26名成功老龄化 (SA) 个体和47名通常老龄化个体.
- 使用休息状态功能磁共振成像 (rs-fMRI) 和迷你精神状态检查 (MMSE) 进行认知评估.
- 应用DPABISurf用于数据预处理和DPABINet用于大脑网络分析,使用支持向量机器模型.
主要成果:
- 在5个大脑网络中确定了6个显著改变的网络间功能连接 (FC),与MMSE性能相关.
- 观察到右中额头和直角中增加的FC,与MMSE得分积极相关.
- 发现右上边缘回环和右中状回环之间的FC降低,与MMSE得分负相关.
- 使用支持矢量机器模型与17个显著改变的FCs实现了0.895的曲线下的面积.
结论:
- 该研究确定了与成功衰老相关的关键大脑网络和FC改变.
- 这些发现有助于理解成功衰老背后的神经机制.
- 已识别的FC模式显示了作为成功衰老的神经成像生物标志物的潜力.
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