eprintid: 12930
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/29/30
datestamp: 2023-11-10 03:27:29
lastmod: 2023-11-10 03:27:29
status_changed: 2023-11-10 01:49:53
type: conference_item
metadata_visibility: show
creators_name: Chan, Y.L.
creators_name: Boon Tang, T.
title: Characterizing Functional Near Infrared Spectroscopy (fNIRS)-based Connectivity as Cost-effective Small World Network using Orthogonal Minimal Spanning Trees (OMSTs)
ispublished: pub
keywords: Correlation methods; Cost effectiveness; Efficiency; Extraction; Infrared devices; Near infrared spectroscopy; Neurons; Small-world networks, Analytical method; Brain connectivity; Functional connectivity; Functional near-infrared spectroscopy (fnirs); Healthy subjects; Minimal spanning tree; Neuronal networks; Oxygenated hemoglobin, Cost benefit analysis
note: cited By 0; Conference of 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 ; Conference Date: 20 July 2020 Through 24 July 2020; Conference Code:162693
abstract: This paper reported data-driven functional connectivity (FC) analytical method to investigate functional near infrared spectroscopy (fNIRS)-based connectivity. We evaluated the synchronization of oxygenated hemoglobin using Pearson's correlation and employed orthogonal minimal spanning trees (OMSTs) in characterizing brain connectivity. Then we compared the resultant global cost efficiency and robustness with those generated by non-human i.e. lattice and random networks. We also further benchmarked our method using proportional threshold. Results from 59 healthy subjects demonstrated global cost efficiency and assortativity varied in lattice and random network significantly (p < 0.05), highlighting the potential of OMSTs in extracting true neuronal network. Moreover, the inadequate of proportional threshold in extracting small world network from the same dataset supported that the OMSTs might be the better alternative in FC analysis especially in evaluating cost-efficiency and robustness of network. © 2020 IEEE.
date: 2020
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091007847&doi=10.1109%2fEMBC44109.2020.9175241&partnerID=40&md5=c7896216e8ccb5ad1405a5a8e5be0043
id_number: 10.1109/EMBC44109.2020.9175241
full_text_status: none
publication: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
volume: 2020-J
pagerange: 2901-2904
refereed: TRUE
isbn: 9781728119908
issn: 1557170X
citation:   Chan, Y.L. and Boon Tang, T.  (2020) Characterizing Functional Near Infrared Spectroscopy (fNIRS)-based Connectivity as Cost-effective Small World Network using Orthogonal Minimal Spanning Trees (OMSTs).  In: UNSPECIFIED.