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Uncinate fasciculus microstructure and verbal episodic memory in amyotrophic lateral sclerosis: a diffusion tensor imaging and neuropsychological study.肌萎缩侧索硬化症中钩束微观结构与言语情景记忆:一项扩散张量成像和神经心理学研究
Brain Imaging Behav. 2014 Dec;8(4):497-505. doi: 10.1007/s11682-013-9271-y.
3
Tract profiles of white matter properties: automating fiber-tract quantification.白质束轨迹特征:纤维束定量自动化。
PLoS One. 2012;7(11):e49790. doi: 10.1371/journal.pone.0049790. Epub 2012 Nov 14.
4
Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains.使用定量磁共振成像技术对脑白质性质进行特征分析。
Brain Connect. 2011;1(6):423-46. doi: 10.1089/brain.2011.0071. Epub 2012 Jan 27.
5
Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas.使用多主体束图集自动分割大规模束追踪数据集。
Neuroimage. 2012 Jul 16;61(4):1083-99. doi: 10.1016/j.neuroimage.2012.02.071. Epub 2012 Mar 5.
6
Along-tract statistics allow for enhanced tractography analysis.长程弥散张量成像统计方法可增强弥散张量轨迹分析。
Neuroimage. 2012 Feb 15;59(4):3227-42. doi: 10.1016/j.neuroimage.2011.11.004. Epub 2011 Nov 9.
7
A potential tool for the diagnosis of ALS based on diffusion tensor imaging.一种基于扩散张量成像的肌萎缩侧索硬化症诊断潜在工具。
Amyotroph Lateral Scler. 2011 Nov;12(6):398-405. doi: 10.3109/17482968.2011.582646. Epub 2011 Aug 23.
8
Amyotrophic lateral sclerosis.肌萎缩性侧索硬化症。
Lancet. 2011 Mar 12;377(9769):942-55. doi: 10.1016/S0140-6736(10)61156-7. Epub 2011 Feb 4.
9
A supervised framework for the registration and segmentation of white matter fiber tracts.一个用于白质纤维束配准和分割的有监督框架。
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10
Assessment of white matter tract damage in patients with amyotrophic lateral sclerosis: a diffusion tensor MR imaging tractography study.评估肌萎缩侧索硬化症患者的白质束损伤:弥散张量磁共振成像纤维束示踪研究。
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全脑纤维束比较(FBC)——一种基于扩散张量成像的队列研究工具。

Whole brain fiber-based comparison (FBC)-A tool for diffusion tensor imaging-based cohort studies.

作者信息

Zimmerman-Moreno Gali, Ben Bashat Dafna, Artzi Moran, Nefussy Beatrice, Drory Vivian, Aizenstein Orna, Greenspan Hayit

机构信息

Department of Biomedical Engineering, Tel Aviv University, 69978, Israel.

The Functional Brain Center, the Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, 6 Weizmann St. Tel Aviv 64239, Israel.

出版信息

Hum Brain Mapp. 2016 Feb;37(2):477-90. doi: 10.1002/hbm.23043. Epub 2015 Oct 31.

DOI:10.1002/hbm.23043
PMID:26518977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6867303/
Abstract

We present a novel method for fiber-based comparison of diffusion tensor imaging (DTI) scans of groups of subjects. The method entails initial preprocessing and fiber reconstruction by tractography of each brain in its native coordinate system. Several diffusion parameters are sampled along each fiber and used in subsequent comparisons. A spatial correspondence between subjects is established based on geometric similarity between fibers in a template set (several choices for template are explored), and fibers in all other subjects. Diffusion parameters between groups are compared statistically for each template fiber. Results are presented at single fiber resolution. As an initial exploratory step in neurological population studies this method points to the locations affected by the pathology of interest, without requiring a hypothesis. It does not make any grouping assumptions on the fibers and no manual intervention is needed. The framework was applied here to 18 healthy subjects and 23 amyotrophic lateral sclerosis (ALS) patients. The results are compatible with previous findings and with the tract based spatial statistics (TBSS) method. Hum Brain Mapp 37:477-490, 2016. © 2015 Wiley Periodicals, Inc.

摘要

我们提出了一种基于纤维的新方法,用于对多组受试者的扩散张量成像(DTI)扫描进行比较。该方法需要在每个大脑的原始坐标系中进行初始预处理和通过纤维束成像进行纤维重建。沿着每条纤维对几个扩散参数进行采样,并用于后续比较。基于模板集中的纤维(探索了几种模板选择)与所有其他受试者的纤维之间的几何相似性,在受试者之间建立空间对应关系。针对每个模板纤维对组间的扩散参数进行统计学比较。结果以单纤维分辨率呈现。作为神经人群研究中的初步探索步骤,该方法指出了受感兴趣的病理学影响的位置,而无需假设。它不对纤维进行任何分组假设,也无需人工干预。该框架在此应用于18名健康受试者和23名肌萎缩侧索硬化症(ALS)患者。结果与先前的发现以及基于纤维束的空间统计学(TBSS)方法一致。《人类大脑图谱》37:477 - 490,2016年。© 2015威利期刊公司。