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The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample

机译:剑桥衰老和神经科学中心(CAM-CAN)数据存储库:结构和功能性MRI,MEG和来自横截面成人寿命样本的认知数据

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This paper describes the data repository for the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) initial study cohort. The Cam-CAN Stage 2 repository contains multi-modal (MRI, MEG, and cognitive-behavioural) data from a large (approximately N = 700), cross-sectional adult lifespan (18-87 years old) population-based sample. The study is designed to characterise age-related changes in cognition and brain structure and function, and to uncover the neurocognitive mechanisms that support healthy cognitive ageing. The database contains raw and preprocessed structural MRI, functional MRI (active tasks and resting state), and MEG data (active tasks and resting state), as well as derived scores from cognitive behavioural experiments spanning five broad domains (attention, emotion, action, language, and memory), and demographic and neuropsychological data. The dataset thus provides a depth of neurocognitive phenotyping that is currently unparalleled, enabling integrative analyses of age-related changes in brain structure, brain function, and cognition, and providing a testbed for novel analyses of multi-modal neuroimaging data. (C) 2015 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license.
机译:本文介绍了剑桥衰老和神经科学中心的数据存储库(CAM-CAN)初始研究队列。 CAM-CAN阶段2存储库包含来自大(大约n = 700)的多模态(MRI,MEG和认知行为)数据,横断面成人寿命(18-87岁)基于人口的样本。该研究旨在表征具有认知和脑结构的年龄相关变化和功能,并揭示支持健康认知老化的神经认知机制。数据库包含原始和预处理的结构MRI,功能MRI(主动任务和休息状态)和MEG数据(主动任务和休息状态),以及跨越五个宽域的认知行为实验导出的分数(注意,情绪,行动,语言和记忆),以及人口统计和神经心理数据。因此,数据集是提供了目前无与伦比的神经认知表型的深度,从而实现了脑结构,脑功能和认知的年龄相关变化的整合分析,并为多模态神经影像数据进行了新的分析。 (c)2015年作者。由elsevier Inc.发布这是CC下的开放式访问文章。

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