一个多个会话的同时EEG-fMRI数据集与重复的经验采样
bioRxiv : the preprint server for biology
|February 12, 2026
概括
这项研究引入了一套新的数据集,结合了脑电图 (EEG) 和功能磁共振成像 (fMRI) 来分析休息期间的大脑活动. 这些数据使研究人员能够探索神经信号和自发思想之间的联系.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 数据科学数据科学数据科学
背景情况:
- 同时的脑电图 (EEG) 和功能磁共振成像 (fMRI) 为神经活动提供了互补的时间和空间洞察力.
- 描述自发精神体验及其神经相关的特征仍然是认知神经科学的一个关键挑战.
研究的目的:
- 介绍和描述一个新的,多会话的同时EEG-fMRI数据集.
- 为了促进大脑活动,行为和在清醒休息期间的主观体验之间的关系的研究.
- 为了能够调查EEG-fMRI发现的可靠性.
主要方法:
- 在两个会议中获得了24名健康成年人的同时EEG-fMRI数据.
- 包括持续执行任务 (CPT) 响应,13个思维维度的体验采样和心理健康调查.
- 脑成像数据集结构 (BIDS) 格式的有组织数据,包括被删除的EEG和高时间分辨率的fMRI.
主要成果:
- 数据集包括每位参与者约1.33小时的高质量并发EEG-fMRI数据.
- 包括详细的行为和经验数据,允许丰富的相关性分析.
- 为研究静止状态中的神经动力学及其与认知的联系提供了坚实的基础.
结论:
- 这一全面的数据集是神经科学界的宝贵资源.
- 能够深入探索自发思维的神经基础及其可变性.
- 支持对多式联络神经成像测量方法的测试复试可靠性的研究.
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