Open access series of imaging studies: longitudinal MRI data in nondemented and demented older adults.
Open access series of imaging studies: longitudinal MRI data in nondemented and demented older adults.
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DOI：
10.1162/jocn.2009.21407
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发表时间：
2010-12
影响因子：
3.2
通讯作者：
Buckner RL
中科院分区：
文献类型：
--
作者：
Marcus DS;Fotenos AF;Csernansky JG;Morris JC;Buckner RL
开放获取系列影像学研究（OASIS）是一系列公开可用于研究和分析的神经影像学数据集。本MRI数据集包括150名年龄在60至96岁的受试者的纵向收集，所有受试者均使用相同的序列在同一扫描仪上采集。每名受试者在两次或两次以上访视时进行扫描，间隔至少一年，共进行373次成像。使用临床痴呆评定（CDR）将受试者表征为非痴呆或患有非常轻度至轻度阿尔茨海默病（AD）。在整个研究过程中，72例受试者被描述为非痴呆。纳入的受试者中有64人在初次访视时被描述为痴呆，并且在随后的扫描中仍然如此，其中包括51名CDR 0.5的个体，其损伤水平与其他地方被认为具有“轻度认知障碍”的个体相似。另外14名受试者在初次访视时被表征为非痴呆（CDR 0），随后在以后的访视时被表征为痴呆（CDR > 0）。受试者均为右撇子，包括男性（n=62）和女性（n=88）。对于每个扫描会话，获得3或4个单独的T1加权MRI扫描。多次会话内采集提供极高的对比度噪声，使数据适用于广泛的分析方法，包括自动计算分析。全脑体积的自动计算，展示了使用的数据测量与正常老化和AD相关的差异。
The Open Access Series of Imaging Studies (OASIS) is a series of neuroimaging data sets that is publicly available for study and analysis. The present MRI data set consists of a longitudinal collection of 150 subjects aged 60 to 96 all acquired on the same scanner using identical sequences. Each subject was scanned on two or more visits, separated by at least one year for a total of 373 imaging sessions. Subjects were characterized using the Clinical Dementia Rating (CDR) as either nondemented or with very mild to mild Alzheimer‘s disease (AD). 72 of the subjects were characterized as nondemented throughout the study. 64 of the included subjects were characterized as demented at the time of their initial visits and remained so for subsequent scans, including 51 individuals with CDR 0.5 similar level of impairment to individuals elsewhere considered to have ‘mild cognitive impairment’. Another 14 subjects were characterized as nondemented at the time of their initial visit (CDR 0) and were subsequently characterized as demented at a later visit (CDR > 0). The subjects were all right-handed and include both men (n=62) and women (n=88). For each scanning session, 3 or 4 individual T1-weighted MRI scans were obtained. Multiple within-session acquisitions provide extremely high contrast-to-noise making the data amenable to a wide range of analytic approaches including automated computational analysis. Automated calculation of whole brain volume is presented to demonstrate use of the data for measuring differences associated with normal aging and AD.
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影响因子：
9.9
作者：
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通讯作者：
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影响因子：
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