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

Ahmad, R.F. and Malik, A.S. and Kamel, N. and Reza, F. and Abdul Karim, A.H. (2015) Optimization and development of concurrent EEG-fMRI data acquisition setup for understanding neural mechanisms of brain. [["eprint_typename_conference\_item" not defined]]

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....


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. © 2015 IEEE.

Item Type:["eprint_typename_conference\_item" not defined]
Impact Factor:cited By 7
Uncontrolled Keywords:Brain; Data acquisition; Data fusion; Electroencephalography; Electrophysiology; Image resolution; Magnetic resonance; Neuroimaging; Scanning; Signal to noise ratio, Acquisition parameters; BOLD; Cognitive neurosciences; Concurrent EEG-fMRI; FMRI; High temporal resolution; Spatio-temporal resolution; Very high spatial resolutions, Functional neuroimaging
ID Code:26288
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:30 Aug 2021 07:06
Last Modified:30 Aug 2021 07:06

Repository Staff Only: item control page