• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Applying the Short-Time Direct Directed Transfer Function to Human Electrocorticographic Recordings from a Language Task.
【24h】

Applying the Short-Time Direct Directed Transfer Function to Human Electrocorticographic Recordings from a Language Task.

机译：将短时直接定向传递函数应用于来自语言任务的人类脑电记录。

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

This thesis applied the short-time direct directed transfer function (SdDTF) to time series data recordings from intracranial electrodes that measure the brain's electrical activity to determine the causal influences that occurred between brain regions during a speech production task. The combination of high temporal and spatial resolution of the electrocorticography (ECoG) recordings directly from the cortex render these measurements of brain activity desirable, particularly when analyzing the fine cognitive dynamics involved in word generation. This research applied a new method to characterize the SdDTF results by compressing across time and high gamma frequencies, generating adjacency matrices, and graphing them to visualize the influences between anatomical regions over the duration of the entire task. This consolidated SdDTF analysis technique allowed for data from a total of seven patients to be combined, generating results which were consistent with current speech production models. The results from this thesis contribute to the expansion of language research by identifying areas relevant to word generation, providing information that will help surgeons avoid irreparable damage to crucial cortex during brain surgery.
机译：本文将短时直接定向传递函数（SdDTF）应用于颅内电极的时间序列数据记录，以测量大脑的电活动，以确定在语音生成任务期间大脑区域之间发生的因果关系。直接来自皮质的脑电记录（ECoG）记录的高时间和空间分辨率的结合，使这些对大脑活动的测量成为可取的，尤其是在分析单词生成所涉及的精细认知动态时。这项研究应用了一种新方法来表征SdDTF结果，方法是在时间和高伽马频率上进行压缩，生成邻接矩阵并对其进行图形化处理，以可视化整个任务持续时间内解剖区域之间的影响。这种整合的SdDTF分析技术可将来自总共7名患者的数据进行合并，从而产生与当前语音产生模型一致的结果。本论文的结果通过确定与单词生成相关的领域，为帮助外科医生避免在脑外科手术中对关键皮层造成不可挽回的伤害，从而促进了语言研究的发展。

著录项

  • 作者

    Whaley, Meagan Lee.;

  • 作者单位

    Rice University.;

  • 授予单位 Rice University.;
  • 学科 Applied Mathematics.
  • 学位 M.A.
  • 年度 2012
  • 页码 73 p.
  • 总页数 73
  • 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