Influence of ANOVA design and anatomical standardization on statistical mapping for PET activation
Influence of ANOVA design and anatomical standardization on statistical mapping for PET activation
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DOI：
10.1006/nimg.1998.0370
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发表时间：
1998-10-01
期刊：
影响因子：
5.7
通讯作者：
Tatsumi, I
中科院分区：
文献类型：
--
作者：
Senda, M;Ishii, K;Tatsumi, I
我们使用各种ANOVA设计和解剖标准化方法为PET激活研究创建了z值、误差和变异分量的图像。在四个PET中心采集数据。在每个中心，CBF测量6名正常男性受试者在休息和隐蔽动词的产生，每三次。图像进行解剖学标准化与线性变换，SPM（版本。95）、HBA（Karolinska/Tohoku）或MICHIAN（Minoshima）。逐像素进行ANOVA，以计算四种不同设计中任务主效应（动词与休息）的t（和z）：（i）双向（受试者和任务）（2 W），（ii）双向交互（2 WI），（iii）受试者被视为随机因子（2 WI-MX），以及（iv）三向（受试者、任务和重复）（3 W）。从布罗卡区延伸到左侧运动前区皮质的大片区域被激活。最高峰的位置取决于解剖标准化和ANOVA设计，变异范围为3-4 cm。平滑减少了变化，同时擦除可能的子焦点。2 W、2 WI和3 W的z图像看起来相似，而2 WI MX呈现较低的峰值z值。SPM倾向于呈现比其他方法更高的z值。灰色物质的误差较大，而白色物质的误差较小。受试者效应的均方根在灰质边界处较高，特别是在LINEAR和HBA中，揭示了灰质分布中的受试者间不匹配。受试者-任务交互效应的均方根揭示了激活的个体差异。(C)北京：科学出版社.
We have created images of z value, error, and variation components for a PET activation study using various ANOVA designs and anatomical standardization methods. Data were acquired in four PET centers. In each center, CBF was measured on six normal male subjects under resting and covert verb generation, three times for each. The images were anatomically; standardized with LINEAR transformation, SPM (Ver. 95), HBA (Karolinska/Tohoku), or MICHIGAN (Minoshima). ANOVA was performed pixel by pixel to compute t (and z) for the task main effect (Verb vs Rest) in four different designs: (i) two way (subject and task) (2W), (ii) two-way with interaction (2WI), (iii) subject considered a random factor (2WI-MX), and (iv) three-way (subject, task, and replication) (3W). A large area extending from the Broca to the left premotor cortex was activated. The localization of the highest peak depended both on the anatomical standardization and on the ANOVA design, the variation ranging 3-4 cm. Smoothing reduced the variation while erasing possible subfoci. The z images of 2W, 2WI, and 3W looked alike, whereas 2WI-MX presented lower peak z values. SPM tended to present higher z values than the other methods. The error was high in the gray and low in the white matter. The root mean square for the subject effect was high on the border of gray matter especially in LINEAR and HBA, revealing intersubject mismatch in the gray matter distribution. The root mean square for the subject-by-task interaction effect revealed individual variation in activation. (C) 1998 Academic Press.