Functional Connectivity Assessment on Aging Brain using Functional Near Infrared Spectroscopy (fNIRS)

To date, conventional diagnosis of Alzheimer’s disease (AD) using questionnaire are still widely implemented due to constraints of safety and costs in biochemical and neuroimaging approaches. Hence this research aims to derive a low-cost, non-invasive and stable biomarker to differentiate normal agi...

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Main Author: Chan, Yee Ling
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.19141 /
Published: 2017
Online Access: http://utpedia.utp.edu.my/19141/1/Final%20dissertation.pdf
http://utpedia.utp.edu.my/19141/
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spelling utp-utpedia.191412019-06-20T11:06:48Z http://utpedia.utp.edu.my/19141/ Functional Connectivity Assessment on Aging Brain using Functional Near Infrared Spectroscopy (fNIRS) Chan, Yee Ling To date, conventional diagnosis of Alzheimer’s disease (AD) using questionnaire are still widely implemented due to constraints of safety and costs in biochemical and neuroimaging approaches. Hence this research aims to derive a low-cost, non-invasive and stable biomarker to differentiate normal aging (NA), mild cognitive impairment (MCI) and AD using functional near infrared spectroscopy (fNIRS). Sixty-one participants (31,12,18 for NA, MCI, AD groups respectively) completed Clinical Dementia Rating (CDR) and Mini-Mental State Examination (MMSE). They performed three categories of semantic verbal fluency test while neuronal activity in prefrontal cortex (PFC) measured using fNIRS. A new software algorithm has been developed to derive functional connectivity parameters. The synchronization of oxygenated haemoglobin (oxy-Hb) signals from pair channels were evaluated using temporal correlation. Findings showed that functional connectivity and laterality of brain declined with cognitive severity. Connectivity decreased from 307 to 170 (NA to AD). Meanwhile the laterality between left and right PFC became insignificant (p>0.01) during AD stage. Moreover, NA groups demonstrated significantly higher small-worldness than AD (p<0.05), suggesting more effective neuronal activity and hence leading to higher PFC performance. Furthermore, neuronal connectivity of MCI correlated positively with MMSE and with average VFT score regardless of hemispheres which might indicated compensation mechanism. The findings supported fNIRS as a promising alternative measuring instrument to differentiate NA group from MCI and AD. 2017-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19141/1/Final%20dissertation.pdf Chan, Yee Ling (2017) Functional Connectivity Assessment on Aging Brain using Functional Near Infrared Spectroscopy (fNIRS). UNSPECIFIED.
institution Universiti Teknologi Petronas
collection UTPedia
language English
description To date, conventional diagnosis of Alzheimer’s disease (AD) using questionnaire are still widely implemented due to constraints of safety and costs in biochemical and neuroimaging approaches. Hence this research aims to derive a low-cost, non-invasive and stable biomarker to differentiate normal aging (NA), mild cognitive impairment (MCI) and AD using functional near infrared spectroscopy (fNIRS). Sixty-one participants (31,12,18 for NA, MCI, AD groups respectively) completed Clinical Dementia Rating (CDR) and Mini-Mental State Examination (MMSE). They performed three categories of semantic verbal fluency test while neuronal activity in prefrontal cortex (PFC) measured using fNIRS. A new software algorithm has been developed to derive functional connectivity parameters. The synchronization of oxygenated haemoglobin (oxy-Hb) signals from pair channels were evaluated using temporal correlation. Findings showed that functional connectivity and laterality of brain declined with cognitive severity. Connectivity decreased from 307 to 170 (NA to AD). Meanwhile the laterality between left and right PFC became insignificant (p>0.01) during AD stage. Moreover, NA groups demonstrated significantly higher small-worldness than AD (p<0.05), suggesting more effective neuronal activity and hence leading to higher PFC performance. Furthermore, neuronal connectivity of MCI correlated positively with MMSE and with average VFT score regardless of hemispheres which might indicated compensation mechanism. The findings supported fNIRS as a promising alternative measuring instrument to differentiate NA group from MCI and AD.
format Final Year Project
author Chan, Yee Ling
spellingShingle Chan, Yee Ling
Functional Connectivity Assessment on Aging Brain using Functional Near Infrared Spectroscopy (fNIRS)
author_sort Chan, Yee Ling
title Functional Connectivity Assessment on Aging Brain using Functional Near Infrared Spectroscopy (fNIRS)
title_short Functional Connectivity Assessment on Aging Brain using Functional Near Infrared Spectroscopy (fNIRS)
title_full Functional Connectivity Assessment on Aging Brain using Functional Near Infrared Spectroscopy (fNIRS)
title_fullStr Functional Connectivity Assessment on Aging Brain using Functional Near Infrared Spectroscopy (fNIRS)
title_full_unstemmed Functional Connectivity Assessment on Aging Brain using Functional Near Infrared Spectroscopy (fNIRS)
title_sort functional connectivity assessment on aging brain using functional near infrared spectroscopy (fnirs)
publishDate 2017
url http://utpedia.utp.edu.my/19141/1/Final%20dissertation.pdf
http://utpedia.utp.edu.my/19141/
_version_ 1741195455063130112
score 11.62408

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