Exploring the Structural Plasticity Mechanism of Corticospinal Tract during Stroke Rehabilitation Based Automated Fiber Quantification Tractography

Haojie Zhang; Jun Zhao; Lingzhong Fan; Xia Wu; Fang Li; Jingya Liu; Chen Bai; Xingzhu Li; Bingjie Li; Tong Zhang

doi:10.1177/15459683241249115

Exploring the Structural Plasticity Mechanism of Corticospinal Tract during Stroke Rehabilitation Based Automated Fiber Quantification Tractography

Neurorehabil Neural Repair. 2024 Apr 27:15459683241249115. doi: 10.1177/15459683241249115. Online ahead of print.

Authors

Haojie Zhang^{1

2

3}, Jun Zhao^{1

4}, Lingzhong Fan^{5

6}, Xia Wu^{5

6}, Fang Li^{1

4}, Jingya Liu^{1

7}, Chen Bai^{1

2

3}, Xingzhu Li^{1

2

3}, Bingjie Li^{1

4}, Tong Zhang^{1

2

3}

Affiliations

¹ School of Rehabilitation Medicine, Capital Medical University, Beijing, China.
² China Rehabilitation Science Institute, Beijing, China.
³ Center of Neurological Rehabilitation, China Rehabilitation Research Center, Beijing, China.
⁴ Department of Neurology, China Rehabilitation Research Center, Beijing, China.
⁵ Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
⁶ University of Chinese Academy of Sciences, Beijing, China.
⁷ Department of occupational therapy, China Rehabilitation Research Center, Beijing, China.

PMID: 38676561
DOI: 10.1177/15459683241249115

Abstract

Background: Corticospinal tract (CST) is the principal motor pathway; we aim to explore the structural plasticity mechanism in CST during stroke rehabilitation.

Methods: A total of 25 patients underwent diffusion tensor imaging before rehabilitation (T1), 1-month post-rehabilitation (T2), 2 months post-rehabilitation (T3), and 1-year post-discharge (T4). The CST was segmented, and fractional anisotropy (FA), axial diffusion (AD), mean diffusivity (MD), and radial diffusivity (RD) were determined using automated fiber quantification tractography. Baseline level of laterality index (LI) and motor function for correlation analysis.

Results: The FA values of all segments in the ipsilesional CST (IL_-CST) were lower compared with normal CST. Repeated measures analysis of variance showed time-related effects on FA, AD, and MD of the IL_-CST, and there were similar dynamic trends in these 3 parameters. At T1, FA, AD, and MD values of the mid-upper segments of IL_-CST (around the core lesions) were the lowest; at T2 and T3, values for the mid-lower segments were lower than those at T1, while the values for the mid-upper segments gradually increased; at T4, the values for almost entire IL_-CST were higher than before. The highest LI was observed at T2, with a predominance in contralesional CST. The LIs for the FA and AD at T1 were positively correlated with the change rate of motor function.

Conclusions: IL_-CST showed aggravation followed by improvement from around the lesion to the distal end. Balance of interhemispheric CST may be closely related to motor function, and LIs for FA and AD may have predictive value for mild-to-moderate stroke rehabilitation. Clinical Trial Registration. URL: http://www.chictr.org.cn; Unique Identifier: ChiCTR1800019474.

Keywords: MRI; automated fiber quantification; corticospinal tract; rehabilitation; stroke; structural plasticity.