Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia
The default mode network (DMN) is a large neural network that has a significant correlation with Alzheimer's disease (AD). Grey matter volume (GMV) and functional connectivity (FC) involving the regions of the DMN have been noted to differ significantly between AD and healthy older adults. Neve...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Neurotak Publishing
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/111473/ http://psasir.upm.edu.my/id/eprint/111473/1/Suppiah%202024.%20Dafault%20mode%20network%20perturbations.%20NeuroSciRes%20Notes.pdf |
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| author | Mohad Azmi, Nur Hafizah Suppiah, Subapriya Ibrahim, Nur Shahidatul Nabila Buhari, Ibrahim Seriramulu, Vengkhata Priya Mohamad, Mazlyfarina Karuppiah, Thilakavathy Omar, Nur Farhayu Ibrahim, Normala Razali, Rizzah Mazzuin Harrun, Noor Harzana Sallehuddin, Hakimah Mohammad Syed Nasser, Nisha Ahmad, Umar |
| author_facet | Mohad Azmi, Nur Hafizah Suppiah, Subapriya Ibrahim, Nur Shahidatul Nabila Buhari, Ibrahim Seriramulu, Vengkhata Priya Mohamad, Mazlyfarina Karuppiah, Thilakavathy Omar, Nur Farhayu Ibrahim, Normala Razali, Rizzah Mazzuin Harrun, Noor Harzana Sallehuddin, Hakimah Mohammad Syed Nasser, Nisha Ahmad, Umar |
| author_sort | Mohad Azmi, Nur Hafizah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The default mode network (DMN) is a large neural network that has a significant correlation with Alzheimer's disease (AD). Grey matter volume (GMV) and functional connectivity (FC) involving the regions of the DMN have been noted to differ significantly between AD and healthy older adults. Nevertheless, there is a paucity of data on the structural and functional changes in the DMN of AD patients in Malaysia. We conducted a cross-sectional study in Klang Valley, Malaysia, to evaluate AD subjects compared to healthy controls (HC) using a resting-state functional MRI (rs-fMRI) experiment. We recruited 22 subjects (AD=11, HC=11) and conducted neuropsychological tests such as the Montreal Cognitive Assessment (MoCA), Mini Mental State Examination (MMSE), and Clinical Dementia Rating (CDR). The subjects then underwent rs-fMRI scans, and subsequently, we quantitatively analysed the GMV by Voxel based Morphometry (VBM) using the structural data. We also utilised the CONN toolbox on Statistical Parametric Mapping (SPM) software to evaluate the FC and activation of the nodes of the DMN. In comparison with the HC group, the AD group demonstrated a reduction in GMV in the right and left inferior temporal gyrus, left superior frontal gyrus, right superior frontal gyrus medial segment, right gyrus rectus, right temporal lobe, left putamen, and right precuneus. Moreover, there was a significant decrease in the FC of the nodes of the DMN noted on rs-fMRI (cluster-size corrected p<0.05). In particular, the precuneus and anterior cingulate cortex had decreased FC in AD compared to HC. Hence, structural and resting-state fMRI can detect distinct imaging biomarkers of AD based on GMV and DMN functional connectivity profiles. This tool can be used as a non-invasive tool for improving the feature detection and diagnosis of AD in the Malaysian population. |
| first_indexed | 2025-11-15T14:08:50Z |
| format | Article |
| id | upm-111473 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:08:50Z |
| publishDate | 2024 |
| publisher | Neurotak Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1114732024-07-14T08:32:16Z http://psasir.upm.edu.my/id/eprint/111473/ Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia Mohad Azmi, Nur Hafizah Suppiah, Subapriya Ibrahim, Nur Shahidatul Nabila Buhari, Ibrahim Seriramulu, Vengkhata Priya Mohamad, Mazlyfarina Karuppiah, Thilakavathy Omar, Nur Farhayu Ibrahim, Normala Razali, Rizzah Mazzuin Harrun, Noor Harzana Sallehuddin, Hakimah Mohammad Syed Nasser, Nisha Ahmad, Umar The default mode network (DMN) is a large neural network that has a significant correlation with Alzheimer's disease (AD). Grey matter volume (GMV) and functional connectivity (FC) involving the regions of the DMN have been noted to differ significantly between AD and healthy older adults. Nevertheless, there is a paucity of data on the structural and functional changes in the DMN of AD patients in Malaysia. We conducted a cross-sectional study in Klang Valley, Malaysia, to evaluate AD subjects compared to healthy controls (HC) using a resting-state functional MRI (rs-fMRI) experiment. We recruited 22 subjects (AD=11, HC=11) and conducted neuropsychological tests such as the Montreal Cognitive Assessment (MoCA), Mini Mental State Examination (MMSE), and Clinical Dementia Rating (CDR). The subjects then underwent rs-fMRI scans, and subsequently, we quantitatively analysed the GMV by Voxel based Morphometry (VBM) using the structural data. We also utilised the CONN toolbox on Statistical Parametric Mapping (SPM) software to evaluate the FC and activation of the nodes of the DMN. In comparison with the HC group, the AD group demonstrated a reduction in GMV in the right and left inferior temporal gyrus, left superior frontal gyrus, right superior frontal gyrus medial segment, right gyrus rectus, right temporal lobe, left putamen, and right precuneus. Moreover, there was a significant decrease in the FC of the nodes of the DMN noted on rs-fMRI (cluster-size corrected p<0.05). In particular, the precuneus and anterior cingulate cortex had decreased FC in AD compared to HC. Hence, structural and resting-state fMRI can detect distinct imaging biomarkers of AD based on GMV and DMN functional connectivity profiles. This tool can be used as a non-invasive tool for improving the feature detection and diagnosis of AD in the Malaysian population. Neurotak Publishing 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/111473/1/Suppiah%202024.%20Dafault%20mode%20network%20perturbations.%20NeuroSciRes%20Notes.pdf Mohad Azmi, Nur Hafizah and Suppiah, Subapriya and Ibrahim, Nur Shahidatul Nabila and Buhari, Ibrahim and Seriramulu, Vengkhata Priya and Mohamad, Mazlyfarina and Karuppiah, Thilakavathy and Omar, Nur Farhayu and Ibrahim, Normala and Razali, Rizzah Mazzuin and Harrun, Noor Harzana and Sallehuddin, Hakimah Mohammad and Syed Nasser, Nisha and Ahmad, Umar (2024) Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia. Neuroscience Research Notes, 7 (1). art. no. 284. pp. 1-14. ISSN 2576-828X https://neuroscirn.org/ojs/index.php/nrnotes/article/view/284 Neurosciences Radiology Alzheimer's - disease - Alzheimer's disease - Brain 10.31117/neuroscirn.v7i1.284 |
| spellingShingle | Neurosciences Radiology Alzheimer's - disease - Alzheimer's disease - Brain Mohad Azmi, Nur Hafizah Suppiah, Subapriya Ibrahim, Nur Shahidatul Nabila Buhari, Ibrahim Seriramulu, Vengkhata Priya Mohamad, Mazlyfarina Karuppiah, Thilakavathy Omar, Nur Farhayu Ibrahim, Normala Razali, Rizzah Mazzuin Harrun, Noor Harzana Sallehuddin, Hakimah Mohammad Syed Nasser, Nisha Ahmad, Umar Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia |
| title | Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia |
| title_full | Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia |
| title_fullStr | Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia |
| title_full_unstemmed | Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia |
| title_short | Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia |
| title_sort | default mode network perturbations in alzheimer's disease: an fmri study in klang valley, malaysia |
| topic | Neurosciences Radiology Alzheimer's - disease - Alzheimer's disease - Brain |
| url | http://psasir.upm.edu.my/id/eprint/111473/ http://psasir.upm.edu.my/id/eprint/111473/ http://psasir.upm.edu.my/id/eprint/111473/ http://psasir.upm.edu.my/id/eprint/111473/1/Suppiah%202024.%20Dafault%20mode%20network%20perturbations.%20NeuroSciRes%20Notes.pdf |