Suppr超能文献

七种不同的 DTI 衍生指标在慢性脑卒中幸存者中对皮质脊髓束结构特征的比较。

A comparison of seven different DTI-derived estimates of corticospinal tract structural characteristics in chronic stroke survivors.

机构信息

Department of Physical Therapy Education, SUNY Upstate Medical University, Syracuse, NY, United States.

Div. of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, United States; Dept. of Neurology, University of Southern California, Los Angeles, CA, United States.

出版信息

J Neurosci Methods. 2018 Jul 1;304:66-75. doi: 10.1016/j.jneumeth.2018.04.010. Epub 2018 Apr 21.

Abstract

BACKGROUND

Different diffusion tensor imaging (DTI) has been used to estimate corticospinal tract (CST) structure in the context of stroke rehabilitation research. However, there is no gold standard for the estimate of CST structure in chronic stroke survivors. This study aims to determine the most accurate DTI-derived CST estimate that is associated with a clinical motor outcome measure.

METHODS

We obtained imaging and behavioral data from a phase-I stroke rehabilitation clinical trial. We included thirty-seven chronic stroke survivors with mild-to-moderate motor impairment. Imaging data were processed using BrainSuite16a software. We calculated mean FA for each of 7 different ROIs/VOIs that include manually drawn 2-D ROIs and 3-D VOIs of CST from individual tractography or standard atlas. We compared ipsi- and contralesional CST FA for each method. Partial correlation was conducted between each CST FA asymmetry index and a time-based motor outcome measure, controlling for age and chronicity.

RESULTS

Ipsilesional CST FA was significantly lower than contralesional CST FA for each of the 7 methods Only CST FA asymmetry from the 3-D individual CST tractography showed a significant correlation with the primary motor outcome (r = 0.46, p = .005), while CST FA from the other six methods did not.

COMPARISON WITH EXISTING METHODS

Compared to the six other methods, CST FA asymmetry from 3-D individual tractography is the most accurate estimate of CST structure in this cohort of stroke survivors.

CONCLUSION

We recommend this method for future research seeking to understand brain-behavior mechanisms of motor recovery in chronic stroke survivors.

摘要

背景

不同的弥散张量成像(DTI)已被用于在中风康复研究中估计皮质脊髓束(CST)结构。然而,对于慢性中风幸存者的 CST 结构,没有金标准的估计方法。本研究旨在确定与临床运动结果测量最相关的最准确的 DTI 衍生 CST 估计值。

方法

我们从一期中风康复临床试验中获得了影像学和行为学数据。我们纳入了 37 名患有轻度至中度运动障碍的慢性中风幸存者。使用 BrainSuite16a 软件处理影像学数据。我们计算了 7 种不同 ROI/VOI 的平均 FA,这些 ROI/VOI 包括从个体追踪或标准图谱手动绘制的 CST 的 2-D ROI 和 3-D VOI。我们比较了每种方法的同侧和对侧 CST FA。在控制年龄和慢性的情况下,对每个 CST FA 不对称指数与基于时间的运动结果测量之间进行部分相关分析。

结果

对于 7 种方法中的每一种,同侧 CST FA 均明显低于对侧 CST FA。只有来自 3-D 个体 CST 追踪的 CST FA 不对称性与主要运动结果呈显著相关性(r=0.46,p=0.005),而其他 6 种方法的 CST FA 则没有。

与现有方法的比较

与其他 6 种方法相比,3-D 个体追踪的 CST FA 不对称性是本队列中风幸存者 CST 结构的最准确估计值。

结论

我们建议在未来的研究中使用这种方法,以了解慢性中风幸存者运动恢复的脑-行为机制。

相似文献

1
A comparison of seven different DTI-derived estimates of corticospinal tract structural characteristics in chronic stroke survivors.
J Neurosci Methods. 2018 Jul 1;304:66-75. doi: 10.1016/j.jneumeth.2018.04.010. Epub 2018 Apr 21.
2
Comparing a diffusion tensor and non-tensor approach to white matter fiber tractography in chronic stroke.
Neuroimage Clin. 2015 Mar 14;7:771-81. doi: 10.1016/j.nicl.2015.03.007. eCollection 2015.
5
Motor tract integrity predicts walking recovery: A diffusion MRI study in subacute stroke.
Neurology. 2020 Feb 11;94(6):e583-e593. doi: 10.1212/WNL.0000000000008755. Epub 2020 Jan 2.
6
Exploring the Structural Plasticity Mechanism of Corticospinal Tract during Stroke Rehabilitation Based Automated Fiber Quantification Tractography.
Neurorehabil Neural Repair. 2024 Jun;38(6):425-436. doi: 10.1177/15459683241249115. Epub 2024 Apr 27.
7
Assessing a standardised approach to measuring corticospinal integrity after stroke with DTI.
Neuroimage Clin. 2013 Apr 11;2:521-33. doi: 10.1016/j.nicl.2013.04.002. eCollection 2013.
8
Corticospinal tract diffusion abnormalities early after stroke predict motor outcome.
Neurorehabil Neural Repair. 2014 Oct;28(8):751-60. doi: 10.1177/1545968314521896. Epub 2014 Feb 11.
9
Detection and Predictive Value of Fractional Anisotropy Changes of the Corticospinal Tract in the Acute Phase of a Stroke.
Stroke. 2016 Jun;47(6):1520-6. doi: 10.1161/STROKEAHA.115.012088. Epub 2016 May 5.

引用本文的文献

1
The impact of brain network microstructural changes on upper limb mirror movements after stroke.
Front Neurol. 2025 Aug 6;16:1643870. doi: 10.3389/fneur.2025.1643870. eCollection 2025.
2
Corticospinal premotor fibers facilitate complex motor control after stroke.
Ann Clin Transl Neurol. 2024 Sep;11(9):2439-2449. doi: 10.1002/acn3.52159. Epub 2024 Jul 28.
5
The role of corticospinal and extrapyramidal pathways in motor impairment after stroke.
Brain Commun. 2022 Nov 21;5(1):fcac301. doi: 10.1093/braincomms/fcac301. eCollection 2023.
6
Performance Comparison of Different Neuroimaging Methods for Predicting Upper Limb Motor Outcomes in Patients after Stroke.
Neural Plast. 2022 Jun 6;2022:4203698. doi: 10.1155/2022/4203698. eCollection 2022.
7
Individuals with Higher Levels of Physical Activity after Stroke Show Comparable Patterns of Myelin to Healthy Older Adults.
Neurorehabil Neural Repair. 2022 Jun;36(6):381-389. doi: 10.1177/15459683221100497. Epub 2022 May 9.
8
Comparison of corticospinal tract integrity measures extracted from standard versus native space in chronic stroke.
J Neurosci Methods. 2021 Jul 15;359:109216. doi: 10.1016/j.jneumeth.2021.109216. Epub 2021 May 7.
9
Test-retest reliability and minimal detectable change of corticospinal tract integrity in chronic stroke.
Hum Brain Mapp. 2020 Jun 15;41(9):2514-2526. doi: 10.1002/hbm.24961. Epub 2020 Feb 24.
10
Corticospinal Tract Injury Estimated From Acute Stroke Imaging Predicts Upper Extremity Motor Recovery After Stroke.
Stroke. 2019 Dec;50(12):3569-3577. doi: 10.1161/STROKEAHA.119.025898. Epub 2019 Oct 25.

本文引用的文献

1
Can Neurological Biomarkers of Brain Impairment Be Used to Predict Poststroke Motor Recovery? A Systematic Review.
Neurorehabil Neural Repair. 2017 Jan;31(1):3-24. doi: 10.1177/1545968316662708. Epub 2016 Aug 8.
2
An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.
Neuroimage. 2016 Jan 15;125:1063-1078. doi: 10.1016/j.neuroimage.2015.10.019. Epub 2015 Oct 20.
3
Corticospinal tract lesion load: An imaging biomarker for stroke motor outcomes.
Ann Neurol. 2015 Dec;78(6):860-70. doi: 10.1002/ana.24510. Epub 2015 Oct 31.
4
A Method for Automated Cortical Surface Registration and Labeling.
Biomed Image Regist Proc. 2012 Jul;7359:180-189. doi: 10.1007/978-3-642-31340-0_19.
5
Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization.
Neuroimage. 2015 Jul 15;115:269-80. doi: 10.1016/j.neuroimage.2015.03.050. Epub 2015 Mar 27.
6
Common behavioral clusters and subcortical anatomy in stroke.
Neuron. 2015 Mar 4;85(5):927-41. doi: 10.1016/j.neuron.2015.02.027.
7
Assessing a standardised approach to measuring corticospinal integrity after stroke with DTI.
Neuroimage Clin. 2013 Apr 11;2:521-33. doi: 10.1016/j.nicl.2013.04.002. eCollection 2013.
8
Decreased corticospinal tract fractional anisotropy predicts long-term motor outcome after stroke.
Stroke. 2013 Jul;44(7):2016-8. doi: 10.1161/STROKEAHA.111.000382. Epub 2013 May 7.
9
The PREP algorithm predicts potential for upper limb recovery after stroke.
Brain. 2012 Aug;135(Pt 8):2527-35. doi: 10.1093/brain/aws146. Epub 2012 Jun 10.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验