Calixto Camilo, Soldatelli Matheus D, Li Bo, Pierotich Lana, Gholipour Ali, Warfield Simon K, Karimi Davood
Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Department of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
bioRxiv. 2024 Jul 22:2024.07.20.603804. doi: 10.1101/2024.07.20.603804.
There is a growing interest in using diffusion MRI to study the white matter tracts and structural connectivity of the fetal brain. Recent progress in data acquisition and processing suggests that this imaging modality has a unique role in elucidating the normal and abnormal patterns of neurodevelopment in utero. However, there have been no efforts to quantify the prevalence of crossing tracts and bottleneck regions, important issues that have been extensively researched for adult brains. In this work, we determined the brain regions with crossing tracts and bottlenecks between 23 and 36 gestational weeks. We performed probabilistic tractography on 59 fetal brain scans and extracted a set of 51 distinct white tracts, which we grouped into 10 major tract bundle groups. We analyzed the results to determine the patterns of tract crossings and bottlenecks. Our results showed that 20-25% of the white matter voxels included two or three crossing tracts. Bottlenecks were more prevalent. Between 75-80% of the voxels were characterized as bottlenecks, with more than 40% of the voxels involving four or more tracts. The results of this study highlight the challenge of fetal brain tractography and structural connectivity assessment and call for innovative image acquisition and analysis methods to mitigate these problems.
利用扩散磁共振成像(diffusion MRI)研究胎儿脑白质束和结构连接性的兴趣日益浓厚。数据采集和处理方面的最新进展表明,这种成像方式在阐明子宫内神经发育的正常和异常模式方面具有独特作用。然而,尚未有人对交叉束和瓶颈区域的发生率进行量化,而这些重要问题在成人大脑中已得到广泛研究。在这项研究中,我们确定了妊娠23至36周之间存在交叉束和瓶颈的脑区。我们对59例胎儿脑部扫描进行了概率性纤维束成像,并提取了一组51条不同的白质束,将其分为10个主要的束组。我们分析结果以确定束交叉和瓶颈的模式。我们的结果表明,20%至25%的白质体素包含两条或三条交叉束。瓶颈更为普遍。75%至80%的体素表现为瓶颈,超过40%的体素涉及四条或更多束。这项研究的结果突出了胎儿脑纤维束成像和结构连接性评估的挑战,并呼吁采用创新的图像采集和分析方法来缓解这些问题。