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Updated: Feb 7, 2026

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系统的fMRI信号差异跨队伍改变寿命连接组轨迹
bioRxiv : the preprint server for biology
|February 6, 2026
概括
来自不同人类结合体项目 (HCP) 队伍的神经成像数据显示信号质量差异. 这些变化会影响大脑网络分析,影响寿命发展和衰老研究,没有适当的协调.
科学领域:
- 神经科学是一个神经科学.
- 神经成像是一种神经成像.
- 数据科学数据科学数据科学
背景情况:
- 大规模的神经成像研究整合了多样化的队列来研究大脑发育和衰老.
- 群体之间采集协议和硬件的差异可以在信号特征中引入系统偏差.
- 人类结合体项目 (HCP) 数据集是用于工具验证和元分析的广泛使用的参考数据.
研究的目的:
- 为了检查三个HCP队列 (HCP-D,HCP-YA,HCP-A) 的信号差异.
- 评估这些差异对下游神经成像分析的影响.
- 评估在多队列研究中缓解协议驱动的文物策略.
主要方法:
- 分析了人类结合体项目 (HCP) 的三个队列:发育 (HCP-D),年轻成人 (HCP-YA) 和老龄化 (HCP-A).
- 评估跨队伍的时间信号噪声比率 (tSNR).
- 休息状态功能连接和网络组织指标的评估.
- 应用协调技术来缓解协议驱动的差异.
主要成果:
- 与HCP-D和HCP-A相比,HCP-YA队列表现出系统地较低的SNR.
- 信号质量差异传播到静止状态的功能相关性和网络组织措施.
- 来自HCP-YA的静止状态网络措施偏离了预期的寿命轨迹.
- 协调方法在部分缓解了大脑网络测量中的人工差异.
结论:
- 通过神经成像队伍的系统信号差异可以有质地改变大脑网络组织的估计寿命轨迹.
- 无法协调数据可能导致生命周期神经科学研究中的生物学误导性推断.
- 这项研究推进了多队列寿命神经成像研究中有效推断的最佳实践.
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