功能连接中的可识别性可能会无意中膨胀预测结果
Anton Orlichenko1, Gang Qu1, Kuan-Jui Su2
1Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA.
ArXiv
|August 14, 2023
概括
研究人员可以通过将来自同一个人的数据视为独立的数据来无意中膨胀脑成像结果. 使用功能连接的这种方法可以显著提高分类准确性,影响未来的研究结果.
科学领域:
- 神经成像是一种神经成像.
- 认知神经科学 认知神经科学
- 在神经科学中的机器学习
背景情况:
- 功能磁共振成像 (fMRI) 对于体内认知研究至关重要.
- 功能连接 (FC) 和相关指标越来越多地用于预测表型.
- 在fMRI研究中,可复制性问题越来越令人担忧.
结论:
- 轻微的管道异常,比如忽视主体识别,可能导致结果膨胀.
- 从夸张的结果中得出的特征可能会误导未来的研究.
- 对这种偏见的认识和纠正对于强大的神经成像研究至关重要.
关键词:
BSNIP BSNIP 的意思是什么开放的神经系统 (OpenNeuro) 是一个开放的系统.这是PNC PNC.在英国,UKB.功能磁力共振成像 (fMRI) 是一种功能共振成像.使用指纹进行指纹采集.功能连接性的功能连接性可以识别的可识别性可复制性的可复制性更多相关视频
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