Advanced fMRI and the brain computer interface

Martyn Paley; Shwan Kaka; Heather Hilliard; Aleksandr Zaytsev; Adriana Bucur; Steven Reynolds; Wei Liu; Elizabeth Milne; Greg Cook

doi:10.1007/978-3-319-10978-7_7

Advanced fMRI and the brain computer interface

Martyn Paley, Shwan Kaka, Heather Hilliard, Aleksandr Zaytsev, Adriana Bucur, Steven Reynolds, Wei Liu, Elizabeth Milne, Greg Cook

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

Electrical signals generated by the brain which give rise to the EEG signal on the scalp create a magnetic field at the neuronal source of around 1 nano-Tesla (nT). Several authors have shown that changes in magnetic field of this order can be directly detected electromagnetically through MR signal modulation by high sensitivity MRI systems. An interesting fact is that this direct electromagnetic effect is independent of the strength of the magnetic field which is used for detection. Instead it is the stability of the system which controls the ability to detect such weak electromagnetic fields. This opens up the possibility of using low cost, open, low field strength MRI systems for dfMRI brain computer interfaces. Some authors have proposed the use of SQUID detection of fMRI at ultra-low field. Instead, we propose.

Original language	English
Pages (from-to)	185-213
Number of pages	29
Journal	Intelligent Systems Reference Library
Volume	74
DOIs	https://doi.org/10.1007/978-3-319-10978-7_7
Publication status	Published - Jan 2014

ASJC Scopus subject areas

General Computer Science
Information Systems and Management
Library and Information Sciences

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10.1007/978-3-319-10978-7_7

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AU - Paley, Martyn

AU - Kaka, Shwan

AU - Hilliard, Heather

AU - Zaytsev, Aleksandr

AU - Bucur, Adriana

AU - Reynolds, Steven

AU - Liu, Wei

AU - Milne, Elizabeth

AU - Cook, Greg

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Advanced fMRI and the brain computer interface

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