Assessing the feasibility of time-resolved fNIRS to detect brain activity during motor imagery

Androu Abdalmalak; Daniel Milej; Mamadou Diop; Lorina Naci; Adrian M. Owen; Keith St. Lawrence

doi:10.1117/12.2209587

25 March 2016 Assessing the feasibility of time-resolved fNIRS to detect brain activity during motor imagery

Androu Abdalmalak, Daniel Milej, Mamadou Diop, Lorina Naci, Adrian M. Owen, Keith St. Lawrence

Proceedings Volume 9690, Clinical and Translational Neurophotonics; Neural Imaging and Sensing; and Optogenetics and Optical Manipulation; 969002 (2016) https://doi.org/10.1117/12.2209587
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical technique for detecting brain activity, which has been previously used during motor and motor executive tasks. There is an increasing interest in using fNIRS as a brain computer interface (BCI) for patients who lack the physical, but not the mental, ability to respond to commands. The goal of this study is to assess the feasibility of time-resolved fNIRS to detect brain activity during motor imagery. Stability tests were conducted to ensure the temporal stability of the signal, and motor imagery data were acquired on healthy subjects. The NIRS probes were placed on the scalp over the premotor cortex (PMC) and supplementary motor area (SMA), as these areas are responsible for motion planning. To confirm the fNIRS results, subjects underwent functional magnetic resonance imaging (fMRI) while performing the same task. Seven subjects have participated to date, and significant activation in the SMA and/or the PMC during motor imagery was detected by both fMRI and fNIRS in 4 of the 7 subjects. No activation was detected by either technique in the remaining three participants, which was not unexpected due to the nature of the task. The agreement between the two imaging modalities highlights the potential of fNIRS as a BCI, which could be adapted for bedside studies of patients with disorders of consciousness.

Citation Download Citation

Androu Abdalmalak, Daniel Milej, Mamadou Diop, Lorina Naci, Adrian M. Owen, and Keith St. Lawrence "Assessing the feasibility of time-resolved fNIRS to detect brain activity during motor imagery", Proc. SPIE 9690, Clinical and Translational Neurophotonics; Neural Imaging and Sensing; and Optogenetics and Optical Manipulation, 969002 (25 March 2016); https://doi.org/10.1117/12.2209587

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available