功能连接异质性和对临床和认知预测的影响:第二阶段注册报告
Matthew Mattoni1, David V Smith1, Jason Chein1
1Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States.
Imaging neuroscience (Cambridge, Mass.)
|August 14, 2025
概括
大脑连接在个人之间有很大差异. 群组模型不能很好地代表个体大脑功能,限制了临床预测,尽管网络模式在人群中显示出更大的一致性.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 脑部成像 脑部成像
背景情况:
- 功能连接 (FC) 分析对于理解大脑动态和预测行为至关重要.
- 当前的方法通常依赖于群体平均模型,可能忽视关键的个人差异.
- 这种方法可能会阻碍精确的个人预测和临床应用.
研究的目的:
- 调查个人间静止状态功能连接 (rsFC) 模式的异质性.
- 为了比较群体平均模型与个人级别连接的准确性.
- 为了确定连接的个体差异是否会影响行为预测的准确性.
主要方法:
- 利用了青少年大脑认知发展 (ABCD) 研究的数据.
- 通过使用类内相关系数 (ICCs) 评估了组和个人rsFC模型之间的相似性.
- 研究了个人与群体模型之间的差异如何调节临床和神经认知尺度的预测.
主要成果:
- 基于集团平均利益区域 (ROI) 的FC模型反映了个人的连接模式.
- 网络之间和网络内部连接的群体平均模型有效地代表了大多数个人.
- 个体不同于组模型的差异使模式比较测试的预测变得更糟,但不是主要的临床结果.
结论:
- 基于ROI的FC网络表现出大量人与人之间的异质性,使得群组模型不适合个人推断.
- 基于网络的连接 (网络之间/网络内) 显示了个人之间更大的一致性.
- 大脑连接的个体异质性可能会影响特定的认知预测,需要进一步调查.
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