Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation with a Case Study on Alzheimer's Disease

Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation with a Case Study on Alzheimer's Disease

While functional integration has been suggested to reflect brain health, non-standardized network thresholding methods complicate network interpretation. We propose a new method to analyze functional near-infrared spectroscopy-based functional connectivity (fNIRS-FC). In this study, we employed wave...

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Bibliographic Details
Main Authors: Chan, Y.L., Ung, W.C., Lim, L.G., Lu, C.-K., Kiguchi, M., Tang, T.B.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089204163&doi=10.1109%2fTNSRE.2020.3007589&partnerID=40&md5=5994e65315a872bd0e6c465dd46107df
http://eprints.utp.edu.my/23199/
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Institution: Universiti Teknologi Petronas

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089204163&doi=10.1109%2fTNSRE.2020.3007589&partnerID=40&md5=5994e65315a872bd0e6c465dd46107df
http://eprints.utp.edu.my/23199/

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