Brain morphometry and Seed-based analysis of resting-state functional connectivity in default mode network of Alzheimer's disease patients compared with healthy control subjects in the Klang Valley, Malaysia

Citation

Mohad Azmi, N. H. and Suppiah, S. and Ibrahim, N. S. N. and Ibrahim, B. and Seriramulu, V. P. and Piersson, A. D. and Mohamad Aznan, M. N. and Karuppiah, T. and Omar, N. F. and Ibrahim, N. and Razali, R. M. and Harrun, N. H. and Sallehuddin, H. and Syed Nasser, N. and Saripan, M. I. (2022) Brain morphometry and Seed-based analysis of resting-state functional connectivity in default mode network of Alzheimer's disease patients compared with healthy control subjects in the Klang Valley, Malaysia. Journal of Medical Imaging and Radiation Sciences (JMIRS), 53 (4 suppl. 1). p. 27. ISSN 1939-8654; ESSN: 1876-7982

Abstract

The default mode network (DMN) is a large brain network in the human brain and has a substantial correlation with Alzheimer's disease (AD). Grey matter volume (GMV) and functional connectivity (FC) were reported to be different between AD and healthy control (HC). Nevertheless, the structural and functional alterations that take place in AD in association with the DMN in Malaysian patients is not well understood. Our aim was to show how structural MRI data could be processed using voxel-based morphometry (VBM) to identify differences in regional grey matter volume (GMV) between AD patients and HC. Comparison of the variations in rs-functional connectivity in the DMN on fMRI scans between AD and HC was another objective of this study.

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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Engineering Faculty of Medicine and Health Science
DOI Number:	https://doi.org/10.1016/j.jmir.2022.10.090
Publisher:	Elsevier
Keywords:	Alzheimer's disease; Healthy control; Grey matter volume; Functional connectivity
Depositing User:	Ms. Nur Faseha Mohd Kadim
Date Deposited:	10 Oct 2023 02:15
Last Modified:	10 Oct 2023 02:15
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.jmir.2022.10.090
URI:	http://psasir.upm.edu.my/id/eprint/100566
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