eprintid: 5886
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/58/86
datestamp: 2023-11-09 16:17:37
lastmod: 2023-11-09 16:17:37
status_changed: 2023-11-09 16:04:09
type: conference_item
metadata_visibility: show
creators_name: Ahmad, R.F.
creators_name: Malik, A.S.
creators_name: Kamel, N.
creators_name: Reza, F.
creators_name: Abdul Karim, A.H.
title: Optimization and development of concurrent EEG-fMRI data acquisition setup for understanding neural mechanisms of brain
ispublished: pub
keywords: Brain; Data acquisition; Data fusion; Electroencephalography; Electrophysiology; Image resolution; Magnetic resonance; 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
note: cited By 8; Conference of 2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015 ; Conference Date: 11 May 2015 Through 14 May 2015; Conference Code:113466
abstract: 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.
date: 2015
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938847068&doi=10.1109%2fI2MTC.2015.7151314&partnerID=40&md5=32fb61fefbecd6e5f7518e784f106e14
id_number: 10.1109/I2MTC.2015.7151314
full_text_status: none
publication: Conference Record - IEEE Instrumentation and Measurement Technology Conference
volume: 2015-J
pagerange: 476-481
refereed: TRUE
isbn: 9781479961139
issn: 10915281
citation:   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.  In: UNSPECIFIED.