首页> 外文期刊>Neuroscience Research: The Official Journal of the Japan Neuroscience Society >Referential framework for transcranial anatomical correspondence for fNIRS based on manually traced sulci and gyri of an infant brain
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Referential framework for transcranial anatomical correspondence for fNIRS based on manually traced sulci and gyri of an infant brain

机译:基于手动追踪的幼儿阶段的FNIR和婴儿脑的Gyri的Fnirs的经颅解剖对应框架

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摘要

Functional near infrared spectroscopy (fNIRS), which is compact, portable, and tolerant of body movement, is suitable for monitoring infant brain functions. Nevertheless, fNIRS also poses a technical problem in that it cannot provide structural information. Supplementation with structural magnetic resonance images (MRI) is not always feasible for infants who undergo fNIRS measurement. Probabilistic registration methods using an MRI database instead of subjects' own MRIs are optimized for adult studies and offer only limited resources for infant studies. To overcome this, we used high-quality infant MRI data for a 12-month-old infant and manually delineated segmented gyri from among the highly visible macroanatomies on the lateral cortical surface. These macroanatomical regions are primarily linked to the spherical coordinate system based on external cranial landmarks, and further to traditional 10-20-based head-surface positioning systems. While macroanatomical structures were generally comparable between adult and infant atlases, differences were found in the parietal lobe, which was positioned posteriorly at the vertex in the infant brain. The present study provides a referential framework for macroanatomical analyses in infant fNIRS studies. With this resource, multichannel fNIRS functional data could be analyzed in reference to macroanatomical structures through virtual and probabilistic registrations without acquiring subject-specific MRIs.
机译:靠近红外光谱(FNIR),紧凑,便携和容忍身体运动,适用于监测婴幼儿脑功能。尽管如此,FNIR也会提出技术问题,因为它无法提供结构信息。用结构磁共振图像(MRI)的补充对于接受FNIR测量的婴儿并不总是可行的。使用MRI数据库而不是受试者自己的MRI的概率登记方法针对成人研究进行了优化,并仅为婴儿研究提供有限的资源。为了克服这一点,我们使用高质量的婴儿MRI数据对于12个月大的婴儿,并从侧皮质表面上的高度可见的大型宏观剖视图中手动描绘了分段的吉利。这些宏观分子区域主要与基于外部颅骨标志的球形坐标系相关,进一步到传统的10-20基头表面定位系统。虽然成年人和婴儿地图集之间的大类结构通常相当,但在婴儿脑中的顶点后面发现差异。本研究为婴幼儿FNIRS研究中的宏观组分析提供了参考框架。利用这种资源,可以通过虚拟和概率登记可以通过虚拟和概率的注册来分析多声道Fnirs功能数据,而无需获取特定于对象的MRI。

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