Improved localization of language areas using single voxel signal analysis of unprocessed fMRI data.

Leonard Fetscher, Marion Batra, Uwe Klose
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引用次数: 0

Abstract

Activated brain regions can be visualized and localized with the use of fMRI (functional magnetic imaging). This is based on changes in the blood flow in activated regions, or more precisely on the hemodynamic response function (HRF) and the Blood-Oxygen-Level-Dependent (BOLD) effect. This study used a task-based fMRI examination with language paradigms in order to stimulate the language areas. The measured fMRI data are frequently altered by different preprocessing steps for the analysis and the display of activations. These changes can lead to discrepancies between the displayed and the truly measured location of the activations. Simple t-maps were created with unprocessed fMRI data, to provide a more realistic representation of the language areas. HRF-dependent single-voxel fMRI signal analysis was performed to improve the analyzability of these activation maps.

Abstract Image

Abstract Image

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使用未处理fMRI数据的单体素信号分析改进语言区域定位。
激活的大脑区域可以通过fMRI(功能性磁成像)进行可视化和定位。这是基于激活区域血流的变化,或者更准确地说是基于血流动力学反应函数(HRF)和血氧水平依赖性(BOLD)效应。本研究使用基于任务的功能磁共振成像检查和语言范式来刺激语言区。为了分析和显示激活,测量的fMRI数据经常被不同的预处理步骤所改变。这些变化可能导致显示的激活位置与实际测量的激活位置之间的差异。简单的t图是用未处理的功能磁共振成像数据创建的,以提供更真实的语言区域表示。进行hrf依赖的单体素fMRI信号分析,以提高这些激活图的可分析性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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