relation: https://khub.utp.edu.my/scholars/17262/
title: Variance Analysis on Functional Connectivity of Resting-state fMRI Signals in Alzheimer's Disease Patients
creator: Sadiq, A.
creator: Yahya, N.
creator: Tang, T.B.
creator: Hashim, H.
creator: Saad, M.N.M.
description: The assessment of the brain network is a powerful tool for determining brain topological organisation, and it is been employed extensively in the study of mental disorders. Observing the brain's connectivity patterns is one of the most effective approaches for analysing brain functionality. According to recent research, Alzheimer's disease is significantly linked to the changes in network connection among distinct brain regions. In this work, five brain regions are chosen to be analyzed in showing the variation in functional connectivity. These regions are hippocampus, parahippocampus, olfactory, superior parietal gyrus and anterior cingulate gyrus. Pearson's Correlation is used for determining the functional connection between the five brain regions. When comparing Alzheimer's disease (AD) patients to Normal Controls, the findings indicate that there are higher variations of functional connectivity in AD patients. © 2022 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2022
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Sadiq, A. and Yahya, N. and Tang, T.B. and Hashim, H. and Saad, M.N.M.  (2022) Variance Analysis on Functional Connectivity of Resting-state fMRI Signals in Alzheimer's Disease Patients.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149108259&doi=10.1109%2fICFTSC57269.2022.10040043&partnerID=40&md5=b30dc9e17a93785ba32307251f379fd5
relation: 10.1109/ICFTSC57269.2022.10040043
identifier: 10.1109/ICFTSC57269.2022.10040043