Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26744
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Validating an image-based fNIRS approach with fMRI and a working memory task
Author(s): Wijeakumar, Sobanawartiny
Huppert, Theodore J
Magnotta, Vincent A
Buss, Aaron T
Spencer, John P
Keywords: Functional near-infrared spectroscopy
Functional magnetic resonance imaging
Visual working memory
Image reconstruction
Working memory load
Issue Date: 15-Feb-2017
Citation: Wijeakumar S, Huppert TJ, Magnotta VA, Buss AT & Spencer JP (2017) Validating an image-based fNIRS approach with fMRI and a working memory task, NeuroImage, 147, pp. 204-218.
Abstract: In the current study, we extend a previous methodological pipeline by adding a novel image reconstruction approach to move functional near-infrared (fNIRS) signals from channel-space on the surface of the head to voxel-space within the brain volume. We validate this methodology by comparing voxel-wise fNIRS results to functional magnetic resonance imaging (fMRI) results from a visual working memory (VWM) task using two approaches. In the first approach, significant voxel-wise correlations were observed between fNIRS and fMRI measures for all experimental conditions across brain regions in the fronto-parieto-temporal cortices. In the second approach, we conducted separate multi-factorial ANOVAs on fNIRS and fMRI measures and then examined the correspondence between main and interaction effects within common regions of interest. Both fMRI and fNIRS showed similar trends in activation within the VWM network when the number of items held in working memory increases. These results validate the image-based fNIRS approach.
DOI Link: http://dx.doi.org/10.1016/j.neuroimage.2016.12.007
Rights: Accepted refereed manuscript of: Wijeakumar S, Huppert TJ, Magnotta VA, Buss AT & Spencer JP (2017) Validating an image-based fNIRS approach with fMRI and a working memory task, NeuroImage, 147, pp. 204-218. DOI: 10.1016/j.neuroimage.2016.12.007 © 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Files in This Item:
File Description SizeFormat 
Accepted_manuscript.pdf2.01 MBAdobe PDFView/Open



This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.