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发布认知和多模态 MRI 数据,包括真实世界任务和海马亚区分割。

Release of cognitive and multimodal MRI data including real-world tasks and hippocampal subfield segmentations.

机构信息

Wellcome Centre for Human Neuroimaging, Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.

出版信息

Sci Data. 2023 Aug 16;10(1):540. doi: 10.1038/s41597-023-02449-9.

Abstract

We share data from N = 217 healthy adults (mean age 29 years, range 20-41; 109 females, 108 males) who underwent extensive cognitive assessment and neuroimaging to examine the neural basis of individual differences, with a particular focus on a brain structure called the hippocampus. Cognitive data were collected using a wide array of questionnaires, naturalistic tests that examined imagination, autobiographical memory recall and spatial navigation, traditional laboratory-based tests such as recalling word pairs, and comprehensive characterisation of the strategies used to perform the cognitive tests. 3 Tesla MRI data were also acquired and include multi-parameter mapping to examine tissue microstructure, diffusion-weighted MRI, T2-weighted high-resolution partial volume structural MRI scans (with the masks of hippocampal subfields manually segmented from these scans), whole brain resting state functional MRI scans and partial volume high resolution resting state functional MRI scans. This rich dataset will be of value to cognitive and clinical neuroscientists researching individual differences, real-world cognition, brain-behaviour associations, hippocampal subfields and more. All data are freely available on Dryad.

摘要

我们分享了来自 217 名健康成年人的数据(平均年龄 29 岁,范围 20-41;109 名女性,108 名男性),他们接受了广泛的认知评估和神经影像学检查,以研究个体差异的神经基础,特别关注一种称为海马体的大脑结构。认知数据是使用各种问卷、想象力自然测试、自传体记忆回忆和空间导航的自然测试、传统的基于实验室的测试(如回忆单词对)以及对执行认知测试所使用策略的全面描述来收集的。还获得了 3T MRI 数据,包括多参数映射以检查组织微观结构、扩散加权 MRI、T2 加权高分辨率部分容积结构 MRI 扫描(从这些扫描中手动分割出海马亚区的掩模)、全脑静息状态功能 MRI 扫描和部分容积高分辨率静息状态功能 MRI 扫描。这个丰富的数据集将对研究个体差异、现实世界认知、大脑-行为关联、海马亚区等的认知和临床神经科学家具有重要价值。所有数据均可在 Dryad 上免费获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f3f/10432478/a5ce538d4942/41597_2023_2449_Fig1_HTML.jpg

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