Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology PAS, Warsaw, Poland.
Sci Data. 2024 Mar 7;11(1):276. doi: 10.1038/s41597-024-03106-5.
Interdisciplinary approaches are needed to understand the relationship between genetic factors and brain structure and function. Here we describe a database that includes genetic data on apolipoprotein E (APOE) and phosphatidylinositol binding clathrin assembly protein (PICALM) genes, both of which are known to increase the risk of late-onset Alzheimer's disease, paired with psychometric (memory, intelligence, mood, personality, stress coping strategies), basic demographic and health data on a cohort of 192 healthy middle-aged (50-63) individuals. Part of the database (~79 participants) also includes blood tests (blood counts, lipid profile, HSV virus) and functional neuroimaging data (EEG/fMRI) recorded with a resting-state protocol (eyes open and eyes closed) and two cognitive tasks (multi-source interference task, MSIT; and Sternberg's memory task). The data were validated and showed overall good quality. This open-science dataset is well suited not only for research relating to susceptibility to Alzheimer's disease but also for more general questions on brain aging or can be used as part of meta-analytical multi-disciplinary projects.
需要采用跨学科的方法来理解遗传因素与大脑结构和功能之间的关系。在这里,我们描述了一个数据库,其中包含载脂蛋白 E (APOE) 和磷脂结合网格蛋白组装蛋白 (PICALM) 基因的遗传数据,这两个基因都已知会增加晚发性阿尔茨海默病的风险,并与心理计量学(记忆、智力、情绪、个性、压力应对策略)、基本人口统计学和健康数据配对,这些数据来自 192 名健康的中年(50-63 岁)个体。数据库的一部分(~79 名参与者)还包括血液测试(血细胞计数、血脂谱、HSV 病毒)和功能神经影像学数据(EEG/fMRI),这些数据是使用静息状态协议(睁眼和闭眼)以及两项认知任务(多源干扰任务,MSIT;和斯特恩伯格的记忆任务)记录的。这些数据经过验证,整体质量良好。这个开放科学数据集不仅非常适合与阿尔茨海默病易感性相关的研究,也非常适合大脑老化的更一般问题,或者可以用作元分析多学科项目的一部分。