Regional free-water diffusion is more strongly related to neuroinflammation than neurodegeneration.

IF 4.8 2区 医学 Q1 CLINICAL NEUROLOGY
Vishaal Sumra, Mohsen Hadian, Allison A Dilliott, Sali M K Farhan, Andrew R Frank, Anthony E Lang, Angela C Roberts, Angela Troyer, Stephen R Arnott, Connie Marras, David F Tang-Wai, Elizabeth Finger, Ekaterina Rogaeva, Joseph B Orange, Joel Ramirez, Lorne Zinman, Malcolm Binns, Michael Borrie, Morris Freedman, Miracle Ozzoude, Robert Bartha, Richard H Swartz, David Munoz, Mario Masellis, Sandra E Black, Roger A Dixon, Dar Dowlatshahi, David Grimes, Ayman Hassan, Robert A Hegele, Sanjeev Kumar, Stephen Pasternak, Bruce Pollock, Tarek Rajji, Demetrios Sahlas, Gustavo Saposnik, Maria Carmela Tartaglia
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引用次数: 0

Abstract

Introduction: Recent research has suggested that neuroinflammation may be important in the pathogenesis of neurodegenerative diseases. Free-water diffusion (FWD) has been proposed as a non-invasive neuroimaging-based biomarker for neuroinflammation.

Methods: Free-water maps were generated using diffusion MRI data in 367 patients from the Ontario Neurodegenerative Disease Research Initiative (108 Alzheimer's Disease/Mild Cognitive Impairment, 42 Frontotemporal Dementia, 37 Amyotrophic Lateral Sclerosis, 123 Parkinson's Disease, and 58 vascular disease-related Cognitive Impairment). The ability of FWD to predict neuroinflammation and neurodegeneration from biofluids was estimated using plasma glial fibrillary-associated protein (GFAP) and neurofilament light chain (NfL), respectively.

Results: Recursive Feature Elimination (RFE) performed the strongest out of all feature selection algorithms used and revealed regional specificity for areas that are the most important features for predicting GFAP over NfL concentration. Deep learning models using selected features and demographic information revealed better prediction of GFAP over NfL.

Discussion: Based on feature selection and deep learning methods, FWD was found to be more strongly related to GFAP concentration (measure of astrogliosis) over NfL (measure of neuro-axonal damage), across neurodegenerative disease groups, in terms of predictive performance. Non-invasive markers of neurodegeneration such as MRI structural imaging that can reveal neurodegeneration already exist, while non-invasive markers of neuroinflammation are not available. Our results support the use of FWD as a non-invasive neuroimaging-based biomarker for neuroinflammation.

局部自由水扩散与神经炎症的关系比与神经退行性变的关系更强。
最近的研究表明,神经炎症可能在神经退行性疾病的发病机制中起重要作用。自由水扩散(FWD)已被提出作为一种基于神经炎症的非侵入性神经影像学生物标志物。方法:使用来自安大略省神经退行性疾病研究计划的367例患者的弥散MRI数据生成自由水图(108例阿尔茨海默病/轻度认知障碍,42例额颞叶痴呆,37例肌萎缩侧索硬化症,123例帕金森病和58例血管疾病相关认知障碍)。分别使用血浆胶质纤维相关蛋白(GFAP)和神经丝轻链(NfL)来评估FWD预测生物体液中神经炎症和神经退行性变的能力。结果:递归特征消除(RFE)在所有使用的特征选择算法中表现最强,并揭示了预测GFAP比NfL浓度最重要特征的区域特异性。使用选定的特征和人口统计信息的深度学习模型显示,GFAP的预测优于NfL。讨论:基于特征选择和深度学习方法,研究发现,在神经退行性疾病组中,与GFAP浓度(星形胶质细胞增生的测量)相比,FWD与NfL(神经轴突损伤的测量)在预测性能方面的相关性更强。神经变性的非侵入性标志物,如MRI结构成像,可以显示神经变性已经存在,而神经炎症的非侵入性标志物是不可用的。我们的研究结果支持使用FWD作为神经炎症的非侵入性神经影像学生物标志物。
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来源期刊
Journal of Neurology
Journal of Neurology 医学-临床神经学
CiteScore
10.00
自引率
5.00%
发文量
558
审稿时长
1 months
期刊介绍: The Journal of Neurology is an international peer-reviewed journal which provides a source for publishing original communications and reviews on clinical neurology covering the whole field. In addition, Letters to the Editors serve as a forum for clinical cases and the exchange of ideas which highlight important new findings. A section on Neurological progress serves to summarise the major findings in certain fields of neurology. Commentaries on new developments in clinical neuroscience, which may be commissioned or submitted, are published as editorials. Every neurologist interested in the current diagnosis and treatment of neurological disorders needs access to the information contained in this valuable journal.
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