Functional Connectivity Analysis on Mild Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging using fNIRS

This paper reports a functional connectivity analysis at prefrontal cortex (PFC) during semantic verbal fluency task (SVFT) for three groups of elderly people, i.e. normal aging (NA), mild cognitive impairment (MCI) and mild Alzheimer's disease (AD). Functional Near Infrared Spectroscopy (fNIRS...

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Bibliographic Details
Main Authors: Tang, Tong Boon, Chan, Yee Ling
Format: Conference Proceeding
Language:English
Subjects:
Aging
Correlation
Dementia
Microsoft Windows
Senior citizens
Task analysis
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Summary:This paper reports a functional connectivity analysis at prefrontal cortex (PFC) during semantic verbal fluency task (SVFT) for three groups of elderly people, i.e. normal aging (NA), mild cognitive impairment (MCI) and mild Alzheimer's disease (AD). Functional Near Infrared Spectroscopy (fNIRS) was used to measure neuronal activities. A new software algorithm was developed to process fNIRS signals and to derive the parameters of functional connectivity. The synchronization of oxygenated hemoglobin signals from paired channels was evaluated using their temporal correlation. Results from 61 subjects of experiment show that a general decline in functional connectivity from NA (edge count = 307) to AD (edge count = 170), and the laterality between left and right PFC became insignificant (p>0.01) at AD stage. Moreover, the NA group demonstrated a significantly higher clustering coefficient than the AD group (p
ISSN:1558-4615
2694-0604
DOI:10.1109/EMBC.2018.8512186