• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

肌萎缩侧索硬化症表型中皮质脊髓束及相关灰质的形态测量形状分析:分形维数研究

Corticospinal Tract and Related Grey Matter Morphometric Shape Analysis in ALS Phenotypes: A Fractal Dimension Study.

作者信息

Rajagopalan Venkateswaran, Pioro Erik P

机构信息

Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, Hyderabad Campus, Hyderabad 500078, India.

Neuromuscular Center, Department of Neurology, Neurological Institute, Cleveland, OH 44195, USA.

出版信息

Brain Sci. 2021 Mar 14;11(3):371. doi: 10.3390/brainsci11030371.

DOI:10.3390/brainsci11030371
PMID:33799358
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8001972/
Abstract

A pathological hallmark of amyotrophic lateral sclerosis (ALS) is corticospinal tract (CST) degeneration resulting in upper motor neuron (UMN) dysfunction. No quantitative test is available to easily assess UMN pathways. Brain neuroimaging in ALS promises to potentially change this through identifying biomarkers of UMN dysfunction that may accelerate diagnosis and track disease progression. Fractal dimension (FD) has successfully been used to quantify brain grey matter (GM) and white matter (WM) shape complexity in various neurological disorders. Therefore, we investigated CST and whole brain GM and WM morphometric changes using FD analyses in ALS patients with different phenotypes. We hypothesized that FD would detect differences between ALS patients and neurologic controls and even between the ALS subgroups. Neuroimaging was performed in neurologic controls ( = 14), and ALS patients ( = 75). ALS patients were assigned into four groups based on their clinical or radiographic phenotypes. FD values were estimated for brain WM and GM structures. Patients with ALS and frontotemporal dementia (ALS-FTD) showed significantly higher CST FD values and lower primary motor and sensory cortex GM FD values compared to other ALS groups. No other group of ALS patients revealed significant FD value changes when compared to neurologic controls or with other ALS patient groups. These findings support a more severe disease process in ALS-FTD patients compared to other ALS patient groups. FD value measures may be a sensitive index to evaluate GM and WM (including CST) degeneration in ALS patients.

摘要

肌萎缩侧索硬化症(ALS)的一个病理特征是皮质脊髓束(CST)退化,导致上运动神经元(UMN)功能障碍。目前尚无简单易行的定量测试来评估UMN通路。ALS患者的脑成像有望通过识别UMN功能障碍的生物标志物来改变这一现状,这些生物标志物可能会加速诊断并追踪疾病进展。分形维数(FD)已成功用于量化各种神经系统疾病中的脑灰质(GM)和白质(WM)形状复杂性。因此,我们使用FD分析研究了不同表型的ALS患者的CST以及全脑GM和WM形态计量学变化。我们假设FD能够检测出ALS患者与神经对照组之间甚至ALS亚组之间的差异。对神经对照组(n = 14)和ALS患者(n = 75)进行了神经成像检查。根据临床或影像学表型将ALS患者分为四组。估计脑WM和GM结构的FD值。与其他ALS组相比,患有ALS和额颞叶痴呆(ALS-FTD)的患者显示出显著更高的CST FD值以及更低的初级运动和感觉皮层GM FD值。与神经对照组或其他ALS患者组相比,没有其他ALS患者组显示出显著的FD值变化。这些发现支持了与其他ALS患者组相比,ALS-FTD患者的疾病进程更为严重。FD值测量可能是评估ALS患者GM和WM(包括CST)退化的一个敏感指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/8001972/21023923152b/brainsci-11-00371-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/8001972/5f305a6a2cbd/brainsci-11-00371-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/8001972/21023923152b/brainsci-11-00371-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/8001972/5f305a6a2cbd/brainsci-11-00371-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af94/8001972/21023923152b/brainsci-11-00371-g002.jpg

相似文献

1
Corticospinal Tract and Related Grey Matter Morphometric Shape Analysis in ALS Phenotypes: A Fractal Dimension Study.肌萎缩侧索硬化症表型中皮质脊髓束及相关灰质的形态测量形状分析:分形维数研究
Brain Sci. 2021 Mar 14;11(3):371. doi: 10.3390/brainsci11030371.
2
Differing patterns of cortical grey matter pathology identified by multifractal analysis in UMN-predominant ALS patients with and without corticospinal tract hyperintensity.在有和没有皮质脊髓束高信号的以UMN为主的肌萎缩侧索硬化症患者中,通过多重分形分析确定的皮质灰质病理学的不同模式。
J Neurol Sci. 2024 Apr 15;459:122945. doi: 10.1016/j.jns.2024.122945. Epub 2024 Mar 1.
3
Graph theory network analysis provides brain MRI evidence of a partial continuum of neurodegeneration in patients with UMN-predominant ALS and ALS-FTD.图论网络分析为 UMN 优势型 ALS 和 ALS-FTD 患者的神经退行性变部分连续体提供了脑 MRI 证据。
Neuroimage Clin. 2022;35:103037. doi: 10.1016/j.nicl.2022.103037. Epub 2022 May 8.
4
Brain white matter shape changes in amyotrophic lateral sclerosis (ALS): a fractal dimension study.脑白质形状变化在肌萎缩侧索硬化症(ALS):分形维数研究。
PLoS One. 2013 Sep 9;8(9):e73614. doi: 10.1371/journal.pone.0073614. eCollection 2013.
5
Quantitative Brain MRI Metrics Distinguish Four Different ALS Phenotypes: A Machine Learning Based Study.定量脑磁共振成像指标可区分四种不同的肌萎缩侧索硬化症表型:一项基于机器学习的研究。
Diagnostics (Basel). 2023 Apr 24;13(9):1521. doi: 10.3390/diagnostics13091521.
6
Differential involvement of corticospinal tract (CST) fibers in UMN-predominant ALS patients with or without CST hyperintensity: A diffusion tensor tractography study.皮质脊髓束(CST)纤维在伴有或不伴有CST高信号的以UMN为主的肌萎缩侧索硬化症患者中的差异参与:一项扩散张量纤维束成像研究。
Neuroimage Clin. 2017 Feb 22;14:574-579. doi: 10.1016/j.nicl.2017.02.017. eCollection 2017.
7
Hypometabolic and hypermetabolic brain regions in patients with ALS-FTD show distinct patterns of grey and white matter degeneration: A pilot multimodal neuroimaging study.肌萎缩侧索硬化症-额颞叶痴呆患者的低代谢和高代谢脑区表现出不同的灰质和白质退变模式:一项初步的多模态神经影像学研究。
Eur J Radiol. 2023 Jan;158:110616. doi: 10.1016/j.ejrad.2022.110616. Epub 2022 Nov 21.
8
Hyperintensity of the corticospinal tract on FLAIR: A simple and sensitive objective upper motor neuron degeneration marker in clinically verified amyotrophic lateral sclerosis.液体衰减反转恢复序列(FLAIR)上皮质脊髓束高信号:临床确诊的肌萎缩侧索硬化症中一种简单且敏感的客观上运动神经元变性标志物。
J Neurol Sci. 2016 Aug 15;367:177-83. doi: 10.1016/j.jns.2016.06.005. Epub 2016 Jun 3.
9
Graph network measures reveal distinct white matter abnormalities in motor and extra-motor brain regions of two UMN-predominant ALS subtypes.图网络测量揭示了两种以 UMN 为主的 ALS 亚型运动和运动外脑区的不同白质异常。
J Neurol Sci. 2023 Sep 15;452:120765. doi: 10.1016/j.jns.2023.120765. Epub 2023 Aug 9.
10
Distinct patterns of cortical atrophy in ALS patients with or without dementia: an MRI VBM study.ALS 患者伴或不伴痴呆的皮质萎缩的不同模式:一项 MRI VBM 研究。
Amyotroph Lateral Scler Frontotemporal Degener. 2014 Jun;15(3-4):216-25. doi: 10.3109/21678421.2014.880179. Epub 2014 Feb 20.

引用本文的文献

1
Sensory Dysfunction in ALS and Other Motor Neuron Diseases: Clinical Relevance, Histopathology, Neurophysiology, and Insights from Neuroimaging.肌萎缩侧索硬化症及其他运动神经元疾病中的感觉功能障碍:临床相关性、组织病理学、神经生理学及神经影像学见解
Biomedicines. 2025 Feb 22;13(3):559. doi: 10.3390/biomedicines13030559.
2
Corticospinal fibers with different origins impair in amyotrophic lateral sclerosis: A neurite orientation dispersion and density imaging study.皮质脊髓束纤维起源不同在肌萎缩侧索硬化症中受损:一项神经丝取向弥散和密度成像研究。
CNS Neurosci Ther. 2023 Nov;29(11):3406-3415. doi: 10.1111/cns.14270. Epub 2023 May 19.
3

本文引用的文献

1
2-Deoxy-2-[ F]fluoro-d-glucose positron emission tomography, cortical thickness and white matter graph network abnormalities in brains of patients with amyotrophic lateral sclerosis and frontotemporal dementia suggest early neuronopathy rather than axonopathy.2-脱氧-2-[F]氟代-d-葡萄糖正电子发射断层扫描、皮质厚度和脑白质网络图异常提示肌萎缩侧索硬化和额颞叶痴呆患者存在早期神经元病而非轴突病。
Eur J Neurol. 2020 Oct;27(10):1904-1912. doi: 10.1111/ene.14332. Epub 2020 Jun 27.
2
Spinal Cord Imaging in Amyotrophic Lateral Sclerosis: Historical Concepts-Novel Techniques.肌萎缩侧索硬化症的脊髓成像:历史概念与新技术
Front Neurol. 2019 Apr 12;10:350. doi: 10.3389/fneur.2019.00350. eCollection 2019.
3
Quantitative Brain MRI Metrics Distinguish Four Different ALS Phenotypes: A Machine Learning Based Study.
定量脑磁共振成像指标可区分四种不同的肌萎缩侧索硬化症表型:一项基于机器学习的研究。
Diagnostics (Basel). 2023 Apr 24;13(9):1521. doi: 10.3390/diagnostics13091521.
4
Sensory Involvement in Amyotrophic Lateral Sclerosis.运动神经元病的感觉累及。
Int J Mol Sci. 2022 Dec 8;23(24):15521. doi: 10.3390/ijms232415521.
5
Cortical complexity estimation using fractal dimension: A systematic review of the literature on clinical and nonclinical samples.使用分形维数估计皮质复杂度:临床和非临床样本文献的系统综述。
Eur J Neurosci. 2022 Mar;55(6):1547-1583. doi: 10.1111/ejn.15631. Epub 2022 Mar 9.
Longitudinal structural changes in ALS: a three time-point imaging study of white and gray matter degeneration.
肌萎缩侧索硬化症的纵向结构变化:一项关于白质和灰质变性的三个时间点成像研究。
Amyotroph Lateral Scler Frontotemporal Degener. 2018 May;19(3-4):232-241. doi: 10.1080/21678421.2017.1407795. Epub 2017 Dec 7.
4
Semiautomated Evaluation of the Primary Motor Cortex in Patients with Amyotrophic Lateral Sclerosis at 3T.3T 下肌萎缩侧索硬化症患者初级运动皮层的半自动评估。
AJNR Am J Neuroradiol. 2018 Jan;39(1):63-69. doi: 10.3174/ajnr.A5423. Epub 2017 Nov 9.
5
Differential involvement of corticospinal tract (CST) fibers in UMN-predominant ALS patients with or without CST hyperintensity: A diffusion tensor tractography study.皮质脊髓束(CST)纤维在伴有或不伴有CST高信号的以UMN为主的肌萎缩侧索硬化症患者中的差异参与:一项扩散张量纤维束成像研究。
Neuroimage Clin. 2017 Feb 22;14:574-579. doi: 10.1016/j.nicl.2017.02.017. eCollection 2017.
6
Electrophysiological and spinal imaging evidences for sensory dysfunction in amyotrophic lateral sclerosis.肌萎缩侧索硬化症感觉功能障碍的电生理和脊髓影像学证据。
BMJ Open. 2015 Feb 24;5(2):e007659. doi: 10.1136/bmjopen-2015-007659.
7
Cortical thickness in ALS: towards a marker for upper motor neuron involvement.肌萎缩侧索硬化症中的皮质厚度:寻找与上运动神经元受累相关的标志物。
J Neurol Neurosurg Psychiatry. 2015 Mar;86(3):288-94. doi: 10.1136/jnnp-2013-306839. Epub 2014 Aug 13.
8
Lessons of ALS imaging: Pitfalls and future directions - A critical review.肌萎缩侧索硬化症成像的经验教训:陷阱与未来方向——一项批判性综述
Neuroimage Clin. 2014 Feb 27;4:436-43. doi: 10.1016/j.nicl.2014.02.011. eCollection 2014.
9
Distinct patterns of cortical atrophy in ALS patients with or without dementia: an MRI VBM study.ALS 患者伴或不伴痴呆的皮质萎缩的不同模式:一项 MRI VBM 研究。
Amyotroph Lateral Scler Frontotemporal Degener. 2014 Jun;15(3-4):216-25. doi: 10.3109/21678421.2014.880179. Epub 2014 Feb 20.
10
Brain white matter shape changes in amyotrophic lateral sclerosis (ALS): a fractal dimension study.脑白质形状变化在肌萎缩侧索硬化症(ALS):分形维数研究。
PLoS One. 2013 Sep 9;8(9):e73614. doi: 10.1371/journal.pone.0073614. eCollection 2013.