DocumentCode :
3761817
Title :
fMRI based brain state analysis of visual activities
Author :
Raheel Zafar;Aamir Saeed Malik;Nidal Kamel;Sarat C Dass
Author_Institution :
Centre for Intelligent Signal & Imaging Research (CISIR), Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia
fYear :
2015
Firstpage :
46
Lastpage :
49
Abstract :
Functional magnetic resonance imaging (fMRI) is one of the best modality to measure brain activity. Cognitive task produces effective and purposeful behavior in the brain which can be measured by different modalities like Electroencephalography (EEG), Magnetoencephalography (MEG) and fMRI. In this study, fMRI is used to find the difference between brain states. Data was recorded with two different tasks, i.e. a visual task with and without the response. Activity patterns from different brain regions were measured. The main activations were in three brain regions i.e. visual cortex, temporal and frontal depending on the task. In conclusion, fMRI is a good modality to measure brain states and do prediction on novel data.
Keywords :
"Visualization","Brain modeling","Electroencephalography","Biomedical engineering","Imaging"
Publisher :
ieee
Conference_Titel :
Biomedical Engineering & Sciences (ISSBES), 2015 IEEE Student Symposium in
Type :
conf
DOI :
10.1109/ISSBES.2015.7435891
Filename :
7435891
Link To Document :
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