In vivo white matter tractography by diffusion tensor imaging (DTI) accurately represents the organizational architecture
of white matter in the vicinity of brain lesions and especially ischemic brain. In this study, we suggested an improved
fiber tracking algorithm based on TEND, called TENDAS, for tensor deflection with adaptive stepping, which had been
introduced a stepping framework for interpreting the algorithm behavior as a function of the tensor shape (linear-shaped
or not) and tract history. The propagation direction at each step was given by the deflection vector. TENDAS
tractography was used to examine a 17-year-old recovery patient with congenital right hemisphere artery stenosis
combining with fMRI. Meaningless picture location was used as spatial working memory task in this study. We detected
the shifted functional localization to the contralateral homotypic cortex and more prominent and extensive left-sided
parietal and medial frontal cortical activations which were used directly as seed mask for tractography for the
reconstruction of individual spatial parietal pathways. Comparing with the TEND algorithms, TENDAS shows smoother
and less sharp bending characterization of white matter architecture of the parietal cortex. The results of this preliminary
study were twofold. First, TENDAS may provide more adaptability and accuracy in reconstructing certain anatomical
features, whereas it is very difficult to verify tractography maps of white matter connectivity in the living human brain.
Second, our study indicates that combination of TENDAS and fMRI provide a unique image of functional cortical
reorganization and structural modifications of postischemic spatial working memory.