...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Neural computation >Dynamic Computational Model of the Human Spinal Cord Connectome
【24h】

Dynamic Computational Model of the Human Spinal Cord Connectome

机译：人脊髓连接组的动态计算模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Connectomes abound, but few for the human spinal cord. Using anatomical data in the literature, we constructed a draft connectivity map of the human spinal cord connectome, providing a template for the many calibrations of specialized behavior to be overlaid on it and the basis for an initial computational model. A thorough literature review gleaned cell types, connectivity, and connection strength indications. Where human data were not available, we selected species that have been studied. Cadaveric spinal cord measurements, cross-sectional histology images, and cytoarchitectural data regarding cell size and density served as the starting point for estimating numbers of neurons. Simulations were run using neural circuitry simulation software. The model contains the neural circuitry in all ten Rexed laminae with intralaminar, interlaminar, and intersegmental connections, as well as ascending and descending brain connections and estimated neuron counts for various cell types in every lamina of all 31 segments. We noted the presence of highly interconnected complex networks exhibiting several orders of recurrence. The model was used to perform a detailed study of spinal cord stimulation for analgesia. This model is a starting point for workers to develop and test hypotheses across an array of biomedical applications focused on the spinal cord. Each such model requires additional calibrations to constrain its output to verifiable predictions. Future work will include simulating additional segments and expanding the research uses of the model.
机译：Connectomes比比皆是，但对于人类脊髓却很少。利用文献中的解剖数据，我们构建了人类脊髓连接组的连接图草案，为要覆盖在其上的许多特殊行为校准提供了模板，并为初始计算模型提供了基础。详尽的文献回顾了收集的细胞类型，连通性和连接强度指示。在没有人类数据的地方，我们选择了已经研究过的物种。尸体脊髓测量，横断面组织学图像以及有关细胞大小和密度的细胞架构数据，是估算神经元数量的起点。使用神经电路仿真软件进行仿真。该模型包含所有十个Rexed层中的神经回路，这些层具有层内，层间和节间连接，以及上升和下降的大脑连接以及所有31个节段中每个层的各种细胞类型的估计神经元计数。我们注意到存在高度互连的复杂网络，这些网络呈现出多个重复级别。该模型用于进行脊髓刺激镇痛的详细研究。该模型是工作人员在专注于脊髓的一系列生物医学应用中开发和测试假设的起点。每个此类模型都需要进行额外的校准，以将其输出限制在可验证的预测范围内。未来的工作将包括模拟其他部分并扩展模型的研究用途。

著录项

  • 来源
    《Neural computation》 |2019年第2期|388–416|共29页
  • 作者

    Arle Jeffrey E.; Iftimia Nicolae; Shils Jay L.; Mei Longzhi; Carlson Kristen W.;

  • 作者单位

    Beth Israel Deaconess Med Ctr, Dept Neurosurg, Boston, MA 02215 USA|Harvard Med Sch, Dept Neurosurg, Boston, MA 02115 USA|Mt Auburn Hosp, Dept Neurosurg, Cambridge, MA 02138 USA;

    Massachusetts Gen Hosp, Mol Pathol Dept, Boston, MA 02114 USA;

    Rush Presbyterian St Lukes Med Ctr, Dept Anesthesiol, Chicago, IL 60612 USA;

    Beth Israel Deaconess Med Ctr, Dept Neurosurg, Boston, MA 02215 USA;

    Beth Israel Deaconess Med Ctr, Dept Neurosurg, Boston, MA 02215 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号