Ahmad, R.F. and Malik, A.S. and Kamel, N. and Reza, F. (2016) EEG-fMRI combination for better understanding of brain functions: Pros and cons. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Multimodal neuroimaging techniques have shown better understanding of human brain functions and dysfunctions as compared to the standalone modality. EEG and fMRI are widely used in neuroscience community. EEG signals recorded at scalp have high temporal resolution and poor spatial resolution due to limited number of electrodes. Functional Magnetic Resonance Imaging (fMRI) has a very high spatial resolution and low temporal resolution due to slow scanning. The complementary nature of EEG and fMRI can be combined to get high temporal and spatial resolution at the same time. Simultaneous EEG-fMRI imaging can help researchers to develop better understanding of brain mechanism and functionality. Simultaneous EEG-fMRI can be used for assessment of person's cognitive abilities which include working memory, attention and learning process as well as in diseases like schizophrenia, epilepsy, etc. However, simultaneous EEG-fMRI brings many challenges in terms of data acquisition and data quality point of view. In this paper, we have addressed the main issues involved during simultaneous EEG-fMRI data recording. Further, pros and cons of combined EEG-fMRI are discussed. © 2015 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 3; Conference of 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015 ; Conference Date: 19 October 2015 Through 21 October 2015; Conference Code:119504 |
Uncontrolled Keywords: | Data acquisition; Electroencephalography; Image processing; Image resolution; Magnetic resonance imaging; Neuroimaging; Neurology, fMRI; Functional magnetic resonance imaging; High temporal resolution; Human brain functions; Multi-modal; Neuroimaging techniques; Simultaneous EEG-fMRI; Very high spatial resolutions, Functional neuroimaging |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:18 |
Last Modified: | 09 Nov 2023 16:18 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/7188 |