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血液动力学反应作为2型糖尿病生物标志物的功能:基于数据的方法
Pedro Guimarães1, Pedro Serranho1,2, João V Duarte1,3
1University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), Coimbra, Portugal.
Frontiers in neuroinformatics
|January 22, 2024
概括
我们可以通过分析大脑血液动力学反应功能 (HRF) 改变来准确识别2型糖尿病患者 (T2DM). 这些独特的HRF模式显示出作为T2DM神经生理变化的早期生物标志物具有前途.
科学领域:
- 神经科学是一个神经科学.
- 医疗成像医学成像
- 生物标志物发现发现
背景情况:
- 2型糖尿病 (T2DM) 与早期神经生理变化有关,这些变化先于结构性或血管损伤.
- 了解这些早期的大脑变化对于及时干预至关重要.
- 目前的方法可能无法完全捕捉微妙的,早期的神经功能障碍.
研究的目的:
- 开发和验证一种无偏见的,数据驱动的方法来检测和表征T2DM患者的血液动力反应功能 (HRF) 改变.
- 探索这些HRF变化作为T2DM早期生物标志物的潜力.
- 确定在早期T2DM中受到影响的特定大脑区域和神经机制.
主要方法:
- 使用基于任务的与事件相关的功能磁共振成像 (fMRI) 与视觉速度区分任务.
- 采用深度学习 (DL) 和可解释性技术结合解卷化通用线性模型.
- 进行了相关性分析,以确定与歧视有关的关键大脑区域.
主要成果:
- 根据HRF,在区分T2DM患者方面达到高达95%的准确性.
- 在增加刺激对比度和在左视觉半球中表现出更高的分类性能.
- 确定了外层视觉皮质,顶层皮质和岛屿作为歧视的关键区域.
结论:
- 基于数据的HRF分类可以准确地区分T2DM患者.
- HRF变化是T2DM早期神经生理学变化的有希望的生物标志物.
- 这种方法为了解T2DM相关的大脑功能障碍提供了一种新的方法.
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