样本大小极大地影响了EEG病例对照结果在精神病学中的可靠性
bioRxiv : the preprint server for biology
|November 26, 2025
概括
电脑电图 (EEG) 研究中的小样本大小导致不可靠的精神病学发现. 较大的样本大小对于稳定,可重现的EEG结果和儿童和青少年心理健康中准确的生物标志物发现至关重要.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 生物医学工程 生物医学工程
背景情况:
- 精神病学中的脑电图 (EEG) 研究往往产生不一致的结果,特别是在病例对照设计中.
- 小样本规模对EEG组比较可靠性的影响仍然未得到量化.
- 这种变异性阻碍了精神病学研究中的生物标志物发现.
研究的目的:
- 系统量化样本大小对EEG组比较可靠性和可重复性的影响.
- 评估样本大小对效果大小,统计能力和精神病学EEG研究中假阳性率的影响.
- 评估传统病例控制EEG方法对生物标志物发现的有用性.
主要方法:
- 利用了包括临床和对照组在内的5-18岁参与者的大型多站点静止状态EEG数据集 (N=2,874).
- 提取了全面的光谱,时间和复杂性的EEG特征.
- 在各种样本大小中进行了广泛的随机子样本采集,用于重复的病例对照比较.
主要成果:
- 小样本大小导致不稳定的EEG发现,效果大小膨胀和高度变化.
- 较大的样本大小产生了一致的,可重现的结果,具有小但强大的效应.
- 随着样本规模的增加,统计能力显著增加,而假阳性率保持稳定.
结论:
- 样本大小极大地影响了精神病学EEG研究的结果和可靠性.
- 采用小样本的常规病例控制EEG设计对于稳健的生物标志物发现是不够的.
- 更大的样本大小对于推进精神病学EEG研究和确定可靠的生物标志物至关重要.
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