Optimization and standardization of longitudinal brain image analysis for dementia

本研究的目的是优化和规范痴呆症纵向脑影像评估的分析方法。采用Neurostat软件进行3D-SSP分析。作为评估的指标，A)后扣带回皮质(PCC)和B)PCC顶叶和颞叶显示出相对较小的样本量来检测随时间的变化。然而，对于治疗阿尔茨海默病的新药的临床试验来说，这些值似乎很大。还需要进一步调查。

The aim of this study was to optimize and standardize the analysis method for the longitudinal brain image evaluation for dementia. Neurostat program was used for 3D-SSP analyses. As the index for the evaluation, A)posterior cingulate cortex (PCC), and B)PCC+ parietal and tempotal lobes showed relatively small sample size for the detection of the changes over time. However, these values seem to be large for the clinical trials of the new drugs for Alzheimer's disease. Further investigation is required.