Brain microstructure and connectivity in COVID-19 patients with olfactory or cognitive impairment

IF 3.4 2区 医学 Q2 NEUROIMAGING
Alberto Arrigoni , Mattia Previtali , Sara Bosticardo , Giulio Pezzetti , Sofia Poloni , Serena Capelli , Angela Napolitano , Andrea Remuzzi , Rosalia Zangari , Ferdinando Luca Lorini , Maria Sessa , Alessandro Daducci , Anna Caroli , Simonetta Gerevini
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引用次数: 0

Abstract

Introduction

The COVID-19 pandemic has affected millions worldwide, causing mortality and multi-organ morbidity. Neurological complications have been recognized. This study aimed to assess brain structural, microstructural, and connectivity alterations in patients with COVID-19-related olfactory or cognitive impairment using post-acute (time from onset: 264[208–313] days) multi-directional diffusion-weighted MRI (DW-MRI).

Methods

The study included 16 COVID-19 patients with cognitive impairment (COVID-CM), 35 COVID-19 patients with olfactory disorder (COVID-OD), and 14 controls. A state-of-the-art processing pipeline was developed for DW-MRI pre-processing, mean diffusivity and fractional anisotropy computation, fiber density and cross-section analysis, and tractography of white-matter bundles. Brain parcellation required for probing network connectivity, region-specific microstructure and volume, and cortical thickness was based on T1-weighted scans and anatomical atlases.

Results

Compared to controls, COVID-CM patients showed overall gray matter atrophy (age and sex corrected p = 0.004), and both COVID-19 patient groups showed regional atrophy and cortical thinning. Both groups presented an increase in gray matter mean diffusivity (corrected p = 0.001), decrease in white matter fiber density and cross-section (corrected p < 0.05), , and COVID-CM patients also displayed an overall increased diffusivity (p = 0.022) and decreased anisotropy (corrected p = 0.038) in white matter. Graph-based analysis revealed reduced network modularity, with an extensive pattern of connectivity increase, in conjunction with a localized reduction in a few connections, mainly located in the left hemisphere. The left cingulate, anterior cingulate, and insula were primarily involved.

Conclusion

Expanding upon previous findings, this study further investigated significant alterations in brain morphology, microstructure, and connectivity in COVID-19 patients with olfactory or cognitive disfunction. These findings suggest underlying neurodegeneration, neuroinflammation, and concomitant compensatory mechanisms. Future longitudinal studies are required to monitor the alterations over time and assess their transient or permanent nature.

Abstract Image

患有嗅觉或认知障碍的 COVID-19 患者的大脑微观结构和连通性
导言 COVID-19 大流行已影响到全球数百万人,造成死亡和多器官发病。神经系统并发症已得到公认。本研究旨在使用急性期后(发病时间:264[208-313]天)多方向弥散加权磁共振成像(DW-MRI)评估 COVID-19 相关嗅觉或认知障碍患者的大脑结构、微结构和连接性改变。研究人员开发了最先进的处理流水线,用于 DW-MRI 预处理、平均扩散率和分数各向异性计算、纤维密度和横截面分析以及白质束的束描。结果与对照组相比,COVID-CM 患者表现出整体灰质萎缩(年龄和性别校正 p = 0.004),COVID-19 两组患者均表现出区域性灰质萎缩和皮质变薄。两组患者的灰质平均扩散率均有所上升(校正后 p = 0.001),白质纤维密度和横截面有所下降(校正后 p = 0.05),COVID-CM 患者的白质扩散率也整体上升(p = 0.022),各向异性下降(校正后 p = 0.038)。基于图形的分析表明,网络模块化程度降低,连接性广泛增加,同时少数连接局部减少,主要位于左半球。结论在先前研究结果的基础上,本研究进一步调查了 COVID-19 嗅觉或认知功能障碍患者大脑形态、微观结构和连接性的显著变化。这些发现提示了潜在的神经变性、神经炎症和伴随的代偿机制。未来需要进行纵向研究,以监测这些改变的时间变化,并评估其短暂性或永久性。
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来源期刊
Neuroimage-Clinical
Neuroimage-Clinical NEUROIMAGING-
CiteScore
7.50
自引率
4.80%
发文量
368
审稿时长
52 days
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.
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