多维数据集用于常见良性儿童的认知评估,sMRI和rsfMRI
Hongzhou Chen1, Mengyuan Li1, Tian Li2
1School of Psychology, Capital Normal University, 100073, Beijing, China.
Scientific data
|February 5, 2025
概括
这项研究为患有良性综合征的儿童创建了一个多式脑成像和认知数据库. 这个资源有助于研究儿童的认知障碍和大脑机制.
科学领域:
- 神经科学是一个神经科学.
- 儿科神经学 儿科神经学
- 认知科学 认知科学
背景情况:
- 新兴研究表明,常见的儿童综合征和认知缺陷之间存在联系.
- 了解这些关联对于有效的儿科管理至关重要.
研究的目的:
- 为儿童研究建立一个全面的多式联络数据库.
- 为了促进详细分析探索认知障碍和良性的儿童的大脑机制.
主要方法:
- 收集了36名中国儿科志愿者 (5-16岁) 的认知,sMRI和rsfMRI数据.
- 参与者被诊断为良性与中心峰 (BECT) 或童年缺席.
- 通过通过认证的神经科医生和临床医生在1年时间内收集数据来确保数据完整性.
主要成果:
- 成功建立了一个多模式数据 (认知,sMRI,rsfMRI) 的综合数据库.
- 该数据库包括被诊断患有BECT和童年缺席的儿童的数据.
- 从36名中国儿科志愿者中收集了数据.
结论:
- 创建的数据库为儿科的多模式研究提供了宝贵的资源.
- 能够深入研究认知障碍与大脑机制之间的关系.
- 支持对常见儿童综合征的长期认知结果的未来研究.
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