Abstract

Objectives: We evaluated the changes of arcuate fasciculus (AF), an important connecting pathway for language function, using DTI at 1-month and 6-month after stroke and investigated the relationship between structural changes of AF and improvement of post-stroke aphasia. Methods: We collected data from the STroke Outcome Prediction (STOP) database that is prospective data collecting system for functional recovery prediction after stroke based on neuroimaging study. Twenty-six patients with aphasia (PWA) who had first-ever stroke, presence of aphasia evaluated by Western Aphasia Battery (WAB) and no previous neurological or psychiatric diagnosis. The WAB and DTI data within 1 month (initial) and 6 months after (follow-up) stroke onset were used for analysis. And fractional anisotropy (FA), mean diffusivity (MD), fiber number (FN) and differences (Δ) at two time points of these parameters were obtained in bilateral AF in diffusion tensor tractography (DTT). Three types (I: not reconstructed, II: disrupted, discontinued or shallow, III: preserved) of classification according to integrity of AF was also included. Results: DTT parameters of bilateral AF showed statistically significant decrease in FA and increase in MD. Types of AF were changed in 6 patients (23%): 3 patients from type III to type II, 2 patients from type II to type I, and 1 patient from type II to type III. In Pearson’s correlation analysis, significant correlation was observed between 6-mon aphasia quotient (AQ) and parameters of left AF; positive correlation with FA (r=0.707, p<0.001), and negative correlation with MD (r=-.540, p<0.001). However, there was no correlation between 6-mon AQ score and FN of left AF, and all parameters of right AF. In addition, ΔDTT parameters were not correlated with either 6-mon AQ or ΔAQ. Conclusions: The AF changes over time not only in dominant but also in nondominant hemispheres in patients with aphasia after stroke. But amount of changes (Δ) in AF parameters were not associated with language recovery. Acknowledgement: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (No. 2019R1A2C2003020).

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