开放的多中心内脑电图数据集与任务探测有意识的视觉感知
Alia Seedat1, Alex Lepauvre2,3, Jay Jeschke1
1Department of Neurology, New York University Grossman School of Medicine, New York, NY, 10016, USA.
Scientific data
|May 23, 2025
概括
这一新的内EEG (iEEG) 数据集,是在意识理论上的对抗性合作中收集的,为视觉处理和任务相关性提供了有价值的见解.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 心理学 心理学 心理学
背景情况:
- 意识研究涉及竞争的理论,如全球神经工作空间理论和综合信息理论.
- 内EEG (iEEG) 提供高分辨率的神经数据,用于研究大脑功能.
- 跨多个中心的标准化实验协议提高了数据的可比性.
研究的目的:
- 为意识科学引入一种新的,高质量的iEEG数据集.
- 促进研究,比较全球神经元工作空间理论和综合信息理论.
- 支持对视觉刺激处理,目标检测和任务相关性的调查.
主要方法:
- 收集了来自三个研究中心38名患者的iEEG数据.
- 呈现的视觉刺激 (面孔,物体,字母,假字体) 在不同的方向和持续时间.
- 实施了Go/No-Go任务,以评估刺激处理和任务相关性,以及一个运动定位器任务.
- 确保数据质量,转换为脑成像数据结构 (BIDS),并包括行为和眼睛跟踪数据.
主要成果:
- 该数据集符合BIDS标准,无标识,并包括全面的参与者信息.
- 提供预处理和分析代码,以方便数据重复使用.
- 该数据集可以在不同的任务条件下详细检查神经对视觉刺激的反应.
结论:
- 这个iEEG数据集是意识和视觉神经科学的宝贵资源.
- 它支持对意识,注意力和任务特定处理的神经相关的研究.
- 对抗性协作框架和标准化协议增强了数据集的科学实用性.
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