Application of Linear Models in Exploring the Relations between Behavior Data and Functional Magnetic Resonance Signals of Brain during Cognitive Task
- VernacularTitle:线性模型在研究认知任务行为学效应与脑功能磁共振信号关系中的应用
- Author:
Jiacheng LIU
;
Jing BAI
;
Qiyong GUO
;
Dexuan ZHANG
- Publication Type:Journal Article
- Keywords:
Stroop effects;
linear models;
functional magnetic resonance image;
cognitive tasks
- From:Space Medicine & Medical Engineering
2006;0(04):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To build the linear models for exploring relations between behavior data and functional magnetic resonance image(fMRI) signals of brain during cognitive task and to validate whether it is reasonable.Methods The linear models of behavior data and fMRI signals were built,and the functional regions of brain were detected by tests of corresponding parameters.Experimental data of Stroop tasks were used to study the effects of the models by comparing with the results of SPM.Results The results of Stroop data showed that dorsal lateral prefrontal cortex(Brodmann 9/46),and superior frontal median cortex(Brodmann 8/9) were associated with response time of Stroop tasks,and accorded with SPM results and other reports.Conclusion The models can quantitatively analyze the relations of response time and fMRI signals,providing a new way to explore functional images of cognition.
