Literature DB >> 31272324

Acute Diffusivity Biomarkers for Prediction of Motor and Language Outcome in Mild-to-Severe Stroke Patients.

Eric Moulton1, Serena Magno1, Romain Valabregue1,2, Melika Amor-Sahli3, Christine Pires4, Stéphane Lehéricy1,2,5,3, Anne Leger4, Yves Samson1,4, Charlotte Rosso1,5,4.   

Abstract

Background and Purpose- Early severity of stroke symptoms-especially in mild-to-severe stroke patients-are imperfect predictors of long-term motor and aphasia outcome. Motor function and language processing heavily rely on the preservation of important white matter fasciculi in the brain. Axial diffusivity (AD) from the diffusion tensor imaging model has repeatedly shown to accurately reflect acute axonal damage and is thus optimal to probe the integrity of important white matter bundles and their relationship with long-term outcome. Our aim was to investigate the independent prognostic value of the AD of white matter tracts in the motor and language network evaluated at 24 hours poststroke for motor and aphasia outcome at 3 months poststroke. Methods- Seventeen (motor cohort) and 28 (aphasia cohort) thrombolyzed patients with initial mild-to-severe stroke underwent a diffusion tensor imaging sequence at 24 hours poststroke. Motor and language outcome were evaluated at 3 months poststroke with a composite motor score and the aphasia handicap scale. We first used stepwise regression to determine which classic (age, initial motor or aphasia severity, and lesion volume) and imaging (ratio of affected/unaffected AD of motor and language fasciculi) factors were related to outcome. Second, to determine the specificity of our a priori choices of fasciculi, we performed voxel-based analyses to determine if the same, additional, or altogether new regions were associated with long-term outcome. Results- The ratio of AD in the corticospinal tract was the sole predictor of long-term motor outcome, and the ratio of AD in the arcuate fasciculus-along with age and initial aphasia severity-was an independent predictor of 3-month aphasia outcome. White matter regions overlapping with these fasciculi naturally emerged in the corresponding voxel-based analyses. Conclusions- AD of the corticospinal tract and arcuate fasciculus are effective biomarkers of long-term motor and aphasia outcome, respectively.

Entities:  

Keywords:  brain; diffusion tensor imaging; magnetic resonance imaging; prognosis; stroke

Year:  2019        PMID: 31272324     DOI: 10.1161/STROKEAHA.119.024946

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  6 in total

Review 1.  Neuroplasticity of Acupuncture for Stroke: An Evidence-Based Review of MRI.

Authors:  Jinhuan Zhang; Chunjian Lu; Xiaoxiong Wu; Dehui Nie; Haibo Yu
Journal:  Neural Plast       Date:  2021-08-19       Impact factor: 3.599

2.  Performance Comparison of Different Neuroimaging Methods for Predicting Upper Limb Motor Outcomes in Patients after Stroke.

Authors:  Jingyan Tao; Zhaoqing Li; Yang Liu; Jianhua Li; Ruiliang Bai
Journal:  Neural Plast       Date:  2022-06-06       Impact factor: 3.144

3.  Right Hemispheric Homologous Language Pathways Negatively Predicts Poststroke Naming Recovery.

Authors:  Zafer Keser; Rajani Sebastian; Khader M Hasan; Argye E Hillis
Journal:  Stroke       Date:  2019-12-30       Impact factor: 7.914

4.  Acute changes in diffusion tensor-derived metrics and its correlation with the motor outcome in gliomas adjacent to the corticospinal tract.

Authors:  Santiago Cepeda; Sergio García-García; Ignacio Arrese; María Velasco-Casares; Rosario Sarabia
Journal:  Surg Neurol Int       Date:  2021-02-10

5.  Associations between Upper Extremity Motor Function and Aphasia after Stroke: A Multicenter Cross-Sectional Study.

Authors:  Shuo Xu; Zhijie Yan; Yongquan Pan; Qing Yang; Zhilan Liu; Jiajia Gao; Yanhui Yang; Yufen Wu; Yanan Zhang; Jianhui Wang; Ren Zhuang; Chong Li; Yongli Zhang; Jie Jia
Journal:  Behav Neurol       Date:  2021-11-09       Impact factor: 3.342

Review 6.  Leveraging Factors of Self-Efficacy and Motivation to Optimize Stroke Recovery.

Authors:  Rachana Gangwani; Amelia Cain; Amy Collins; Jessica M Cassidy
Journal:  Front Neurol       Date:  2022-02-24       Impact factor: 4.003

  6 in total

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