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Neurophotonics • Open Access

Automated voxel classification used with atlas-guided diffuse optical tomography for assessment of functional brain networks in young and older adults
Author(s): Lin Li; Mary Cazzell; Olajide M. Babawale; Hanli Liu

Paper Abstract

Atlas-guided diffuse optical tomography (atlas-DOT) is a computational means to image changes in cortical hemodynamic signals during human brain activities. Graph theory analysis (GTA) is a network analysis tool commonly used in functional neuroimaging to study brain networks. Atlas-DOT has not been analyzed with GTA to derive large-scale brain connectivity/networks based on near-infrared spectroscopy (NIRS) measurements. We introduced an automated voxel classification (AVC) method that facilitated the use of GTA with atlas-DOT images by grouping unequal-sized finite element voxels into anatomically meaningful regions of interest within the human brain. The overall approach included volume segmentation, AVC, and cross-correlation. To demonstrate the usefulness of AVC, we applied reproducibility analysis to resting-state functional connectivity measurements conducted from 15 young adults in a two-week period. We also quantified and compared changes in several brain network metrics between young and older adults, which were in agreement with those reported by a previous positron emission tomography study. Overall, this study demonstrated that AVC is a useful means for facilitating integration or combination of atlas-DOT with GTA and thus for quantifying NIRS-based, voxel-wise resting-state functional brain networks.

Paper Details

Date Published: 6 October 2016
PDF: 17 pages
Neurophoton. 3(4) 045002 doi: 10.1117/1.NPh.3.4.045002
Published in: Neurophotonics Volume 3, Issue 4
Show Author Affiliations
Lin Li, The Univ. of Texas at Arlington (United States)
Univ. of California, Los Angeles (United States)
Mary Cazzell, Cook Children's Medical Ctr. (United States)
Olajide M. Babawale, The Univ. of Texas at Arlington (United States)
Hanli Liu, The Univ. of Texas at Arlington (United States)


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