A new method for detection of active brain regions with event-related fMRI time series analysis

被引：0
|
作者：
Duque, Juliano J. [1 ]
Sturzbecher, Marcio J. [1 ]
Araujo, Draulio B. [1 ]
Felipe, Joaquim C. [1 ]
机构：
[1] Univ Sao Paulo, Dept Phys & Math, Fac Philosophy Sci & Letter Ribeirao Preto, BR-05508 Sao Paulo, Brazil
来源：
PROCEEDINGS OF THE XX BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING | 2007年
基金：
巴西圣保罗研究基金会;
关键词：
D O I：
10.1109/SIBGRAPI.2007.34
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Functional magnetic resonance imaging (fMRI) has been applied with several purposes in clinical environment as well as in basic neuroscience studies. The main purpose of fMRI is to map brain activity, which is achieved by applying statistical methods to time series of each voxel intensity, related to changes in blood oxygen level, in response to a short stimulus. In this work, we propose a new method for the analysis of event-related fMRI based in the use of the Dynamic Time Warping technique to compare pixel intensity time series. The results show the ability to discriminate activated brain regions, when subjects were engaged in a motor task.
引用
收藏
页码：329 / +
页数：2
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