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Projections of Brodmann Area 6 to the Pyramidal Tract in Humans: Quantifications Using High Angular Resolution Data

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机构: [1]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China [2]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China [3]Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China [4]Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
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关键词: dorsal premotor area high angular resolution diffusion imaging human connectome project pyramidal tract supplementary motor area

摘要:
Primate studies indicate that the pyramidal tract (PyT) could originate from Brodmann area (BA) 6. However, in humans, the accurate origin of PyT from BA 6 is still uncertain owing to difficulties in visualizing anatomical features such as the fanning shape at the corona radiata and multiple crossings at the semioval centrum. High angular-resolution diffusion imaging (HARDI) could reliably replicate these anatomical features. We explored the origin of the human PyT from BA 6 using HARDI. With HARDI data of 30 adults from the Massachusetts General Hospital-Human Connectome Project (MGH-HCP) database and the HCP 1021 template (average of 1021 HCP diffusion data), we visualized the PyT at the 30-averaged group level and the 1021 large-sample level and validated the observations in each of the individuals. Endpoints of the fibers within each subregion were quantified. PyT fibers originating from the BA 6 were consistently visualized in all images. Specifically, the bilateral supplementary motor area (SMA) and dorsal premotor area (dPMA) were consistently found to contribute to the PyT. PyT fibers from BA 6 and those from BA 4 exhibited a twisting topology. The PyT contains fibers originating from the SMA and dPMA in BA 6. Infarction of these regions or aging would result in incomplete provision of information to the PyT and concomitant decreases in motor planning and coordination abilities. © Copyright © 2019 Wang, Shan, Zhang, Wei, Li, Yin and Lu.

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出版当年[2018]版:
大类 | 3 区 医学
小类 | 3 区 神经科学
最新[2023]版:
大类 | 3 区 医学
小类 | 4 区 神经科学
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出版当年[2017]版:
Q2 NEUROSCIENCES
最新[2023]版:
Q2 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者机构: [1]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China [2]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
通讯作者:
通讯机构: [1]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China [2]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China [4]Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
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