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通过扩散张量成像纤维束示踪术和多壳层神经突方向离散度与密度成像对进行性言语失用症脑微结构的联合评估。

Combined assessment of progressive apraxia of speech brain microstructure by diffusion tensor imaging tractography and multishell neurite orientation dispersion and density imaging.

作者信息

Gatto Rodolfo G, Meade Gabriela, Duffy Joseph R, Clark Heather M, Utianski Rene L, Botha Hugo, Machulda Mary M, Josephs Keith A, Whitwell Jennifer L

机构信息

Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.

Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.

出版信息

Brain Behav. 2024 Jan;14(1):e3346. doi: 10.1002/brb3.3346.

Abstract

BACKGROUND

Progressive apraxia of speech (PAOS) is characterized by difficulties with motor speech programming and planning. PAOS targets gray matter (GM) and white matter (WM) microstructure that can be assessed using diffusion tensor imaging (DTI) and multishell applications, such as neurite orientation dispersion and density imaging (NODDI). In this study, we aimed to apply DTI and NODDI to add further insight into PAOS tissue microstructure.

METHODS

Twenty-two PAOS patients and 26 age- and sex-matched controls, recruited by the Neurodegenerative Research Group (NRG) at Mayo Clinic, underwent diffusion MRI on 3T MRI. Brain maps of fractional anisotropy (FA) and mean diffusivity (MD) from DTI and intracellular volume fraction (ICVF) and isotropic volume fraction (IsoVF) from NODDI were generated. Global WM and GM, and specific WM tracts were identified using tractography and lobar GM regions.

RESULTS

Global WM differences between PAOS and controls were greatest for ICVF, and global GM differences were greatest for MD and IsoVF. Abnormalities in key WM tracts involved in PAOS, including the body of the corpus callosum and frontal aslant tract, were identified with FA, MD, and ICVF, with excellent differentiation of PAOS from controls (area under the receiver operating characteristic curves >.90). MD and ICVF identified abnormalities in arcuate fasciculus, thalamic radiations, and corticostriatal tracts. Significant correlations were identified between an index of articulatory errors and DTI and NODDI metrics from the arcuate fasciculus, frontal aslant tract, and inferior longitudinal fasciculus.

CONCLUSIONS

DTI and NODDI represent different aspects of brain tissue microstructure, increasing the number of potential biomarkers for PAOS.

摘要

背景

进行性言语失用症(PAOS)的特征是运动性言语编程和计划存在困难。PAOS会影响灰质(GM)和白质(WM)的微观结构,可使用扩散张量成像(DTI)和多壳应用,如神经突方向离散度和密度成像(NODDI)来评估。在本研究中,我们旨在应用DTI和NODDI来进一步深入了解PAOS的组织微观结构。

方法

由梅奥诊所的神经退行性疾病研究组(NRG)招募的22例PAOS患者和26例年龄及性别匹配的对照者,在3T磁共振成像上接受了扩散磁共振成像检查。生成了DTI的分数各向异性(FA)和平均扩散率(MD)以及NODDI的细胞内体积分数(ICVF)和各向同性体积分数(IsoVF)的脑图谱。使用纤维束成像和脑叶GM区域识别整体WM和GM以及特定的WM束。

结果

PAOS与对照者之间的整体WM差异在ICVF方面最大,整体GM差异在MD和IsoVF方面最大。通过FA、MD和ICVF识别出PAOS所涉及的关键WM束异常,包括胼胝体和额斜束,PAOS与对照者的区分度极佳(受试者工作特征曲线下面积>.90)。MD和ICVF识别出了弓状束、丘脑辐射和皮质纹状体束的异常。在发音错误指数与弓状束、额斜束和下纵束的DTI及NODDI指标之间发现了显著相关性。

结论

DTI和NODDI代表了脑组织微观结构的不同方面,增加了PAOS潜在生物标志物的数量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50f4/10761330/655c1166e3b8/BRB3-14-e3346-g002.jpg

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