Optimization and development of concurrent EEG-fMRI data acquisition setup for understanding neural mechanisms of brain

Ahmad, Rana Fayyaz and Malik, Aamir Saeed and Kamel , Nidal and Reza, Faruque and Abdul Karim, Ahmad Helmy (2015) Optimization and development of concurrent EEG-fMRI data acquisition setup for understanding neural mechanisms of brain. In: 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Pisa.

[img] PDF


Electroencephalography (EEG) and functional magnetic resonance (fMRI) both are considered as non-invasive neuroimaging modalities. Both are used for understanding brain functionalities in cognitive neuroscience as well as in clinical applications. EEG gives high temporal resolution and it has poor spatial resolution. On the other hand, fMRI has very high spatial resolution and poor temporal resolution. For deep understanding of neural mechanisms inside human brain, it is desirable to get the higher spatiotemporal resolution of human brain at the same time. Concurrent EEG-fMRI data recording solve the problem of higher spatiotemporal resolution. It can be also helpful to understand the neural mechanism inside human brain effectively. The concurrent EEG-fMRI recording requires MRI compatible EEG equipment which can be placed inside the higher magnetic field of MRI scanner and also synchronization is required to make setup concurrent. To get higher signal to noise ratio (SNR), optimization of data acquisition parameters plays a significant role. In this paper, we discussed the some real issues during data acquisition and their optimization. We have developed the concurrent EEG-fMRI setup and also successfully recorded the EEG-fMRI data concurrently by optimizing the data acquisition parameters involved. Artifacts have been removed from the data and further, data fusion framework is proposed for combine analysis of EEG and fMRI data.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General)
Academic Subject One:Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
Research Institutes > Institute for Health Analytics
ID Code:11815
Deposited By: Dr Aamir Saeed Malik
Deposited On:07 Oct 2016 01:42
Last Modified:07 Oct 2016 01:42

Repository Staff Only: item control page

Document Downloads

More statistics for this item...