Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan.
J Neurosci Methods. 2010 Jun 15;189(2):257-66. doi: 10.1016/j.jneumeth.2010.03.021. Epub 2010 Mar 25.
Spatial normalization to a common coordinate space, e.g. via the Montreal Neurological Institute (MNI) brain template, is an essential step of analyzing multi-subject functional MRI (fMRI) datasets. The imperfect compensation for individual regional discrepancies during spatial transformation, which could potentially introduce localization errors of the activation foci and/or reduce the detection sensitivity, may be minimized if a template specifically designed for the subjects of a study is applied. In this fMRI study, we proposed and evaluated the use of a study-specific template (SST) based on the mean of individually normalized echo-planar images for group data analysis. A hand flexion and a word generation tasks were performed on young volunteers in experiment 1. Comparing with the MNI template approach, greater t-values of local maxima and activated voxels were detected within volume-of-interests (VOIs) with the SST approach in both tasks. Moreover, the SST approach reduced Euclidean distances between activation foci of individuals and group by 1.52 mm in motor fMRI and 5.84 mm in language fMRI. Similar results were obtained with or without spatial smoothing of the echo-planar images. Experiment 2 further examined these two approaches in older adults, in which volumetric differences between subjects are of great concerns. With a working memory task, the SST approach showed greater t-values of local maxima and activated voxels within the VOI of prefrontal gyrus. This study demonstrated that the SST resulted in more focused activation patterns and effectively improved the fMRI sensitivity, which suggested potentials of reducing number of subjects required for group analysis.
空间标准化到一个共同的坐标空间,例如通过蒙特利尔神经学研究所(MNI)大脑模板,是分析多主题功能磁共振成像(fMRI)数据集的必要步骤。在空间变换过程中,个体区域差异的补偿不完美,这可能会导致激活焦点的定位误差和/或降低检测灵敏度,如果应用专门为研究对象设计的模板,则可以最小化这种误差。在这项 fMRI 研究中,我们提出并评估了使用基于个体归一化回波平面图像平均值的研究特定模板(SST)进行组数据分析。在实验 1 中,年轻志愿者进行了手部屈曲和单词生成任务。与 MNI 模板方法相比,SST 方法在两个任务中都检测到了更大的局部最大值和激活体素的 t 值。此外,SST 方法在运动 fMRI 中减少了个体和组之间激活焦点之间的欧几里得距离 1.52 毫米,在语言 fMRI 中减少了 5.84 毫米。无论是否对回波平面图像进行空间平滑,都可以获得类似的结果。实验 2 进一步在老年人中检查了这两种方法,在老年人中,受试者之间的体积差异是一个非常关注的问题。在一项工作记忆任务中,SST 方法在额前叶的 ROI 中显示了更大的局部最大值和激活体素的 t 值。这项研究表明,SST 导致了更集中的激活模式,并有效地提高了 fMRI 的灵敏度,这表明可以减少组分析所需的受试者数量。