Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 Years: agg component ica 014

<p>spm - 3D normalized - conv(6,6,6)</p>

[](https://neurovault.org/images/12511)

### Collection description

<p>We have acquired a longitudinal single-subject dataset of a healthy volunteer (40 years of age at time of initial scan; male). A total of 158 sessions of MRI data was acquired on a weekly basis, over a span of 185 weeks (a little over 3 years). </p><p>The subject was scanned on a 3T Philips Achieva scanner (Philips HealthCare, Best, Netherlands). Rs-fMRI data of the subject was acquired using a multi-slice SENSE-EPI pulse sequence with TR/TE = 2000/30 ms, SENSE factor = 2, flip angle = 75°, 37 axial slices, nominal resolution = 3x3x3 mm3, 1 mm gap, 16 channel neuro-vascular coil, number of dynamics (frames) per run = 200. The rs-fMRI scans were always acquired after the T1w scans, to allow participants to get acclimated to the noise and environment inside the scanner. The subject was instructed to stay as still as possible with his eyes closed during the entire scan, and no other instruction was provided.</p><p>This is intended to be a resource for statisticians and imaging scientists to be able to quantify the intra-subject inter-session reproducibility of their image analysis methods using data available from a generic 7 min session at 3T. The full dataset is available through NITRC. Here, the resulting aggregate maps from the independent component analysis (ICA) are uploaded. <br></p>

###Subject species

homo sapiens

### Map type

Other

<p>spm - 3D标准化 - 卷积(6,6,6)</p>
[](https://neurovault.org/images/12511)

### 数据集描述

<p>本数据集为一例健康志愿者（初始扫描时年龄为40岁；男性）的纵向单受试者数据集。在185周（略超过3年）的时间内，每周进行一次MRI扫描，共获得158次扫描的MRI数据。</p><p>受试者在3T Philips Achieva扫描仪（Philips HealthCare，荷兰贝斯特）上进行扫描。使用多切片SENSE-EPI脉冲序列采集受试者的rs-fMRI数据，其参数为TR/TE = 2000/30 ms，SENSE因子 = 2，翻转角 = 75°，37个轴向切片，标称分辨率 = 3x3x3 mm³，1 mm间隙，16通道神经血管线圈，每次运行的动态帧数 = 200。rs-fMRI扫描总是在T1w扫描之后进行，以便参与者适应扫描仪内部的噪音和环境。要求受试者在整个扫描过程中尽可能保持静止，眼睛紧闭，且未提供其他指令。</p><p>该数据集旨在为统计学家和影像科学家提供资源，以便他们能够利用3T下7分钟通用扫描可获得的数据，对其图像分析方法进行受试者间重复性的量化分析。完整的数据集可通过NITRC获取。在此，已上传独立成分分析（ICA）产生的聚合图。</p>

### 受试者物种

homo sapiens

### 地图类型

其他