Development o f a cognitive imaging method for geriatrics using tensor based fMRI

通过实现HRF相关性及其张量分析的整体计算，建立了反映神经网络反应年龄相关特征的高阶函数连通性估计的基本算法。通过对认知需求的质的和量的调节来研究该框架。这种方法能够以空间分布系数的形式可视化功能连通性。提示行为数据的纵向变化可能与脑活动的增龄性变化有关。

The fundamental algorism to estimate higher order functional connectivity representing the age-dependent characteristics of neuronal network response was developed by implementing over-all computation of the HRF correlation and its tensor analysis. The framework investigated by using qualitative and quantitative modulation of cognitive demand. wasThis method enabled visualization of the functional connectivity as spatially distributed coefficient. It was suggested that longitudinal change of behavioral data might be potentially correlated with age-related change of brain activation.