Prediction of Motor Recovery after Subacute Cerebral Infarction: Role of Corticocerebellar Pathway Integrity

BackgroundThe cerebellar cortex has gradually become a promising therapeutic target for improving motor recovery post-cerebral infarction, potentially dependent on the structural integrity of motor-related corticocerebellar pathways (CCP). However, the relationship between the imaging markers of motor-related CCP and motor prognosis remains inadequately explored. Utilizing diffusion tensor imaging (DTI), this study aims to longitudinally assess the role of motor-related CCP in predicting motor recovery for both upper and lower extremities following cerebral infarction.MethodsTwenty-nine patients with right middle cerebral artery (MCA) infarction underwent 2 DTI scans 7 to 14 and 30 days after onset, and 29 age-sex matched controls received 1 scan. Fractional anisotropy (FA) values were measured for corticospinal tract (CST) and CCP (cortico-pontocerebellar tract, CPCT; dentate-thalamocortical tract, DTCT; dorsal-spinocerebellar tract, DSCT). Multivariate regression analyses were performed to examine the relationships between DTI parameters and Fugl-Meyer Assessment (FMA).ResultsCompared to the control group, FA and FA asymmetry index (FA-AI) of CST, DTCT, and DSCT on the affected side were significantly reduced. In the linear regression model, the decreased FA-AI of DTCT was a strong predictor for upper FMA (<i>R</i><sup>2</sup><sub><i>adj</i></sub> = 0.271, <i>P</i> = .022), while the FA-AI of DSCT independently predicted lower limb FMA (<i>R</i><sup>2</sup><sub><i>adj</i></sub> = 0.400, <i>P</i> = .019).ConclusionsIn patients of MCA infarction, FA-AI of motor-related CCP may be a valuable imaging indicator for predicting motor outcomes. The DTI-assessed structural integrity of the cerebellar ascending fiber tracts (DTCT and DSCT) may correlate with the motor recovery of the upper and lower extremities, respectively.

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Publication Details

Journal
Neurorehabilitation and neural repair
Published
2025-06-28
DOI
https://doi.org/10.1177/15459683251351879
Citations
1
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36

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Prediction of Motor Recovery after Subacute Cerebral Infarction: Role of Corticocerebellar Pathway Integrity

Linlin Ye, Yi Shan, Bixiao Cui, Shaozhen Yan et al.
1 citations
Neurorehabilitation and neural repair
Advanced Neuroimaging Techniques and Applications
1.36
article

Prediction of Motor Recovery after Subacute Cerebral Infarction: Role of Corticocerebellar Pathway Integrity

Linlin Ye, Yi Shan, Bixiao Cui, Shaozhen Yan, Jie Lu, Miao Zhang, Lei Cao, Jing Liu
article en
1 citations

Abstract

BackgroundThe cerebellar cortex has gradually become a promising therapeutic target for improving motor recovery post-cerebral infarction, potentially dependent on the structural integrity of motor-related corticocerebellar pathways (CCP). However, the relationship between the imaging markers of motor-related CCP and motor prognosis remains inadequately explored. Utilizing diffusion tensor imaging (DTI), this study aims to longitudinally assess the role of motor-related CCP in predicting motor recovery for both upper and lower extremities following cerebral infarction.MethodsTwenty-nine patients with right middle cerebral artery (MCA) infarction underwent 2 DTI scans 7 to 14 and 30 days after onset, and 29 age-sex matched controls received 1 scan. Fractional anisotropy (FA) values were measured for corticospinal tract (CST) and CCP (cortico-pontocerebellar tract, CPCT; dentate-thalamocortical tract, DTCT; dorsal-spinocerebellar tract, DSCT). Multivariate regression analyses were performed to examine the relationships between DTI parameters and Fugl-Meyer Assessment (FMA).ResultsCompared to the control group, FA and FA asymmetry index (FA-AI) of CST, DTCT, and DSCT on the affected side were significantly reduced. In the linear regression model, the decreased FA-AI of DTCT was a strong predictor for upper FMA (<i>R</i><sup>2</sup><sub><i>adj</i></sub> = 0.271, <i>P</i> = .022), while the FA-AI of DSCT independently predicted lower limb FMA (<i>R</i><sup>2</sup><sub><i>adj</i></sub> = 0.400, <i>P</i> = .019).ConclusionsIn patients of MCA infarction, FA-AI of motor-related CCP may be a valuable imaging indicator for predicting motor outcomes. The DTI-assessed structural integrity of the cerebellar ascending fiber tracts (DTCT and DSCT) may correlate with the motor recovery of the upper and lower extremities, respectively.

Neurorehabilitation and neural repairVol. 39(9)
Capital Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 19%
Advanced Neuroimaging Techniques and Applications
1.36
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