Dean Douglas C, O'Muircheartaigh Jonathan, Dirks Holly, Travers Brittany G, Adluru Nagesh, Alexander Andrew L, Deoni Sean C L
Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA.
Department of Neuroimaging, King's College London, Institute of Psychiatry, London SE5 8AF, UK.
Neuroimage. 2016 May 15;132:225-237. doi: 10.1016/j.neuroimage.2016.02.040. Epub 2016 Feb 22.
Optimal myelination of neuronal axons is essential for effective brain and cognitive function. The ratio of the axon diameter to the outer fiber diameter, known as the g-ratio, is a reliable measure to assess axonal myelination and is an important index reflecting the efficiency and maximal conduction velocity of white matter pathways. Although advanced neuroimaging techniques including multicomponent relaxometry (MCR) and diffusion tensor imaging afford insight into the microstructural characteristics of brain tissue, by themselves they do not allow direct analysis of the myelin g-ratio. Here, we show that by combining myelin content information (obtained with mcDESPOT MCR) with neurite density information (obtained through NODDI diffusion imaging) an index of the myelin g-ratio may be estimated. Using this framework, we present the first quantitative study of myelin g-ratio index changes across childhood, examining 18 typically developing children 3months to 7.5years of age. We report a spatio-temporal pattern of maturation that is consistent with histological and developmental MRI studies, as well as theoretical studies of the myelin g-ratio. This work represents the first ever in vivo visualization of the evolution of white matter g-ratio indices throughout early childhood.
神经元轴突的最佳髓鞘形成对于有效的大脑和认知功能至关重要。轴突直径与外纤维直径的比值,即g比值,是评估轴突髓鞘形成的可靠指标,也是反映白质通路效率和最大传导速度的重要指标。尽管包括多组分弛豫测量法(MCR)和扩散张量成像在内的先进神经成像技术能够洞察脑组织的微观结构特征,但它们本身无法直接分析髓鞘g比值。在此,我们表明,通过将髓鞘含量信息(通过mcDESPOT MCR获得)与神经突密度信息(通过NODDI扩散成像获得)相结合,可以估算髓鞘g比值指数。利用这一框架,我们首次对儿童期髓鞘g比值指数的变化进行了定量研究,对18名3个月至7.5岁的正常发育儿童进行了检查。我们报告了一种时空成熟模式,这与组织学和发育性MRI研究以及髓鞘g比值的理论研究一致。这项工作代表了首次在体内可视化整个幼儿期白质g比值指数的演变。