Maria Eugenia Caligiuri , Andrea Quattrone , Maria Giovanna Bianco , Valerio Riccardo Aquila , Maria Celeste Bonacci , Camilla Calomino , Chiara Camastra , Jolanda Buonocore , Antonio Augimeri , Maurizio Morelli , Aldo Quattrone
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Thickness, fractional anisotropy (FA) and mean diffusivity (MD) were calculated over 50 equidistant points covering the whole midsagittal profile of the corpus callosum (CC) and compared among groups. Associations between imaging metrics and postural instability score were investigated using linear regression.</p></div><div><h3>Results</h3><p>Both PSP and PD-unsteady patient groups showed CC involvement in comparison with HC, while no difference was found between PD-steady patients and controls. The CC damage was more severe and widespread in PSP than in PD patients. The CC genu was the regions most damaged in PD-unsteady patients compared with PD-steady patients, showing significant microstructural alterations of MD and FA metrics. 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引用次数: 0
摘要
导言:姿势不稳定(PI)是帕金森病(PD)患者常见的致残症状,但这种症状背后的脑部改变尚未完全明了。本研究旨在利用多模态磁共振成像技术研究帕金森病和进行性核上性麻痹(PSP)患者的姿势不稳与胼胝体损伤之间的关系。方法对120名帕金森病患者(根据存在/不存在姿势不稳进行分层,帕金森病稳定型58人;帕金森病不稳定型44人)、69名PSP患者和38名健康对照组(HC)进行了结构和弥散3T脑磁共振成像。计算了覆盖胼胝体(CC)整个中矢状面的 50 个等距点的厚度、分数各向异性(FA)和平均扩散率(MD),并在各组间进行比较。结果与HC相比,PSP和PD-不稳定性患者组都显示出CC受累,而PD-稳定性患者与对照组之间没有差异。与帕金森病患者相比,帕金森病患者的CC损伤更严重、更广泛。与帕金森病稳定期患者相比,帕金森病不稳定期患者的CC真皮层是受损最严重的区域,其MD和FA指标显示出显著的微结构改变。线性回归分析表明,在考虑的 MRI 指标中,CC 属部的 MD 是导致 PI 的主要因素。
Corpus callosum damage in PSP and unsteady PD patients: A multimodal MRI study
Introduction
Postural instability (PI) is a common disabling symptom in Parkinson’s disease (PD) patients, but the brain alterations underlying this sign are not fully understood yet. This study aimed to investigate the association between PI and callosal damage in PD and progressive supranuclear palsy (PSP) patients, using multimodal MR imaging.
Methods
One-hundred and two PD patients stratified according to the presence/absence of PI (PD-steady N=58; PD-unsteady N=44), 69 PSP patients, and 38 healthy controls (HC) underwent structural and diffusion 3T brain MRI. Thickness, fractional anisotropy (FA) and mean diffusivity (MD) were calculated over 50 equidistant points covering the whole midsagittal profile of the corpus callosum (CC) and compared among groups. Associations between imaging metrics and postural instability score were investigated using linear regression.
Results
Both PSP and PD-unsteady patient groups showed CC involvement in comparison with HC, while no difference was found between PD-steady patients and controls. The CC damage was more severe and widespread in PSP than in PD patients. The CC genu was the regions most damaged in PD-unsteady patients compared with PD-steady patients, showing significant microstructural alterations of MD and FA metrics. Linear regression analysis pointed at the MD in the CC genu as the main contributor to PI among the considered MRI metrics.
Conclusion
This study identified callosal microstructural alterations associated with PI in unsteady PD and PSP patients, which provide new insights on PI pathophysiology and might serve as imaging biomarkers for assessing postural instability progression and treatment response.
期刊介绍:
NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging.
The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.