Fiber Ball white matter modeling reveals microstructural alterations in healthy brain aging

IF 1.7 Q3 CLINICAL NEUROLOGY Aging brain Pub Date : 2022-01-01 DOI:10.1016/j.nbas.2022.100037
Siddhartha Dhiman , Stephanie Fountain-Zaragoza , Jens H. Jensen , Maria Fatima Falangola , Emilie T. McKinnon , Hunter G. Moss , Kathryn E. Thorn , William J. Rieter , Maria Vittoria Spampinato , Paul J. Nietert , Joseph A. Helpern , Andreana Benitez
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引用次数: 3

Abstract

Age-related white matter degeneration is characterized by myelin breakdown and neuronal fiber loss that preferentially occur in regions that myelinate later in development. Conventional diffusion MRI (dMRI) has demonstrated age-related increases in diffusivity but provides limited information regarding the tissue-specific changes driving these effects. A recently developed dMRI biophysical modeling technique, Fiber Ball White Matter (FBWM) modeling, offers enhanced biological interpretability by estimating microstructural properties specific to the intra-axonal and extra-axonal spaces. We used FBWM to illustrate the biological mechanisms underlying changes throughout white matter in healthy aging using data from 63 cognitively unimpaired adults ages 45–85 with no radiological evidence of neurodegeneration or incipient Alzheimer’s disease. Conventional dMRI and FBWM metrics were computed for two late-myelinating (genu of the corpus callosum and association tracts) and two early-myelinating regions (splenium of the corpus callosum and projection tracts). We examined the associations between age and these metrics in each region and tested whether age was differentially associated with these metrics in late- vs. early-myelinating regions. We found that conventional metrics replicated patterns of age-related increases in diffusivity in late-myelinating regions. FBWM additionally revealed specific intra- and extra-axonal changes suggestive of myelin breakdown and preferential loss of smaller-diameter axons, yielding in vivo corroboration of findings from histopathological studies of aged brains. These results demonstrate that advanced biophysical modeling approaches, such as FBWM, offer novel information about the microstructure-specific alterations contributing to white matter changes in healthy aging. These tools hold promise as sensitive indicators of early pathological changes related to neurodegenerative disease.

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纤维球白质模型揭示了健康大脑衰老过程中的微结构变化
与年龄相关的白质变性的特征是髓磷脂分解和神经元纤维丢失,这些优先发生在发育后期髓鞘形成的区域。传统的弥散性MRI (dMRI)已经证明了年龄相关的弥散性增加,但提供的关于驱动这些影响的组织特异性变化的信息有限。最近发展的dMRI生物物理建模技术,纤维球白质(FBWM)建模,通过估计轴突内和轴突外空间的微观结构特性,提供了增强的生物可解释性。我们使用FBWM来说明健康衰老过程中整个白质变化的生物学机制,数据来自63名年龄在45-85岁之间、没有神经退行性变或早期阿尔茨海默病放射学证据的认知功能正常的成年人。对两个髓鞘形成较晚的区域(胼胝体膝和关联束)和两个髓鞘形成较早的区域(胼胝体脾和投射束)进行常规dMRI和FBWM测量。我们检查了每个区域年龄与这些指标之间的关系,并测试了年龄与这些指标在晚髓鞘区和早髓鞘区是否存在差异。我们发现,在髓鞘形成晚期的区域,传统的测量方法复制了与年龄相关的扩散性增加模式。FBWM还揭示了特定的轴突内和轴突外的变化,提示髓磷脂破坏和较小直径轴突的优先损失,这在体内证实了老年大脑组织病理学研究的结果。这些结果表明,先进的生物物理建模方法,如FBWM,为健康衰老过程中导致白质变化的微结构特异性改变提供了新的信息。这些工具有望成为与神经退行性疾病相关的早期病理变化的敏感指标。
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Aging brain
Aging brain Neuroscience (General), Geriatrics and Gerontology
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