DocumentCode :
3562964
Title :
The impact of numeration on visual attention during a psychophysical task; An ERP study
Author :
Jadidi, Armita Faghani ; Davoodi, Raheleh ; Moradi, Mohammad Hassan ; Yoonessi, Ali
Author_Institution :
Dept. of Biomedicai Eng., Amirkabir Univ. of Tech, Tehran, Iran
fYear :
2014
Firstpage :
338
Lastpage :
342
Abstract :
Attention is amongst the high level cognitive task which is associated with complex process in the brain. But in almost all researches, this process is associated with a secondary task, (like numeration). Some believe that the link between these two cognitive activities (i.e. attention and numeration) in human brain is very close and intricate. However, the goal of this research is to evaluate the side effects of counting on visual attention in order to clarify the definition of Attention through brain signals. In previous related researches, only the qualitative impacts of counting have been dealt with and endeavor in this field is a new effort. We used a novel psychophysics task to explore the impact of this extra task on visual top-down attention. EEG was recorded during the task from 48 subjects in occipital, Parietal and frontal lobes. Target-locked ERPs for attention with and without numerating were constructed. Time features corresponding to P300 component were extracted for all eight channels separately. Common feature selection method and classifiers were employed to separate two classes (attention with numeration and pure attention). The results indicate that our task was capable of separation and some of the predefined ERP, time features are meaningful while attention is with numeration. As a result, we have introduced ERP features which belong to this separation and also determined the most relevant brain areas. To our knowledge, this is the first time that this quantitative separation is performed.
Keywords :
cognition; electroencephalography; feature extraction; feature selection; medical signal processing; neurophysiology; psychology; signal classification; source separation; visual evoked potentials; EEG recording; ERP feature; ERP study; P300 component; attention-numeration link; attention-with-numeration classification; brain signal; cognitive activity link; common feature selection; complex brain process; counting side effect; frontal lobe; high level cognitive task; numeration effect; occipital lobe; parietal lobe; psychophysical task; pure attention classification; qualitative counting effect; quantitative ERP separation; relevant brain area; secondary cognitive task; target-locked ERP; time feature extraction; visual top-down attention; Band-pass filters; Biomedical engineering; Educational institutions; Electrodes; Electroencephalography; Feature extraction; Visualization; ERP; P300; Visual attention; numeration; psychophysics; secondary task;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering (ICBME), 2014 21th Iranian Conference on
Print_ISBN :
978-1-4799-7417-7
Type :
conf
DOI :
10.1109/ICBME.2014.7043947
Filename :
7043947
Link To Document :
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