ORTHOGONAL MINIMAL SPANNING TREES (OMSTS) TO ANALYZE FUNCTIONAL NEAR-INFRARED SPECTROSCOPY BASED FUNCTIONAL CONNECTIVITY (FNIRS-FC)
While functional connectivity (FC) has been suggested to reflect brain health, there are significant challenges in defining the survival of connectivity using the current thresholding techniques, especially for the study on functional near-infrared spectroscopy (fNIRS). The current thresholding met...
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my-utp-utpedia.205072021-08-30T16:31:43Z http://utpedia.utp.edu.my/20507/ ORTHOGONAL MINIMAL SPANNING TREES (OMSTS) TO ANALYZE FUNCTIONAL NEAR-INFRARED SPECTROSCOPY BASED FUNCTIONAL CONNECTIVITY (FNIRS-FC) CHAN, YEE LING TK Electrical engineering. Electronics Nuclear engineering While functional connectivity (FC) has been suggested to reflect brain health, there are significant challenges in defining the survival of connectivity using the current thresholding techniques, especially for the study on functional near-infrared spectroscopy (fNIRS). The current thresholding methods are inconsistent as they are user-dependent, bias, and have low result reproducibility. A new method that employs wavelet analysis for motion correction and orthogonal minimal spanning trees (OMSTs) to derive brain connectivity was proposed in this study to analyze fNIRSFC. OMSTs thresholding method has been innovated from previous studies on functional magnetic resonance imaging (fMRI) and adapted for the fNIRS study. 2020-07 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20507/1/Chan%20Yee%20Ling_17009922.pdf CHAN, YEE LING (2020) ORTHOGONAL MINIMAL SPANNING TREES (OMSTS) TO ANALYZE FUNCTIONAL NEAR-INFRARED SPECTROSCOPY BASED FUNCTIONAL CONNECTIVITY (FNIRS-FC). Masters thesis, Universiti Teknologi PETRONAS. |
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TK Electrical engineering. Electronics Nuclear engineering CHAN, YEE LING ORTHOGONAL MINIMAL SPANNING TREES (OMSTS) TO ANALYZE FUNCTIONAL NEAR-INFRARED SPECTROSCOPY BASED FUNCTIONAL CONNECTIVITY (FNIRS-FC) |
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While functional connectivity (FC) has been suggested to reflect brain health, there are significant challenges in defining the survival of connectivity using the current
thresholding techniques, especially for the study on functional near-infrared spectroscopy (fNIRS). The current thresholding methods are inconsistent as they are user-dependent, bias, and have low result reproducibility. A new method that employs wavelet analysis for motion correction and orthogonal minimal spanning trees (OMSTs) to derive brain connectivity was proposed in this study to analyze fNIRSFC. OMSTs thresholding method has been innovated from previous studies on functional magnetic resonance imaging (fMRI) and adapted for the fNIRS study. |
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Thesis |
author |
CHAN, YEE LING |
author_facet |
CHAN, YEE LING |
author_sort |
CHAN, YEE LING |
title |
ORTHOGONAL MINIMAL SPANNING TREES (OMSTS) TO ANALYZE
FUNCTIONAL NEAR-INFRARED SPECTROSCOPY BASED FUNCTIONAL
CONNECTIVITY (FNIRS-FC) |
title_short |
ORTHOGONAL MINIMAL SPANNING TREES (OMSTS) TO ANALYZE
FUNCTIONAL NEAR-INFRARED SPECTROSCOPY BASED FUNCTIONAL
CONNECTIVITY (FNIRS-FC) |
title_full |
ORTHOGONAL MINIMAL SPANNING TREES (OMSTS) TO ANALYZE
FUNCTIONAL NEAR-INFRARED SPECTROSCOPY BASED FUNCTIONAL
CONNECTIVITY (FNIRS-FC) |
title_fullStr |
ORTHOGONAL MINIMAL SPANNING TREES (OMSTS) TO ANALYZE
FUNCTIONAL NEAR-INFRARED SPECTROSCOPY BASED FUNCTIONAL
CONNECTIVITY (FNIRS-FC) |
title_full_unstemmed |
ORTHOGONAL MINIMAL SPANNING TREES (OMSTS) TO ANALYZE
FUNCTIONAL NEAR-INFRARED SPECTROSCOPY BASED FUNCTIONAL
CONNECTIVITY (FNIRS-FC) |
title_sort |
orthogonal minimal spanning trees (omsts) to analyze
functional near-infrared spectroscopy based functional
connectivity (fnirs-fc) |
publishDate |
2020 |
url |
http://utpedia.utp.edu.my/20507/1/Chan%20Yee%20Ling_17009922.pdf http://utpedia.utp.edu.my/20507/ |
_version_ |
1739832761904005120 |