Multilayer network analysis in patients with end-stage kidney disease
Abstract This study aimed to investigate alterations in a multilayer network combining structural and functional layers in patients with end-stage kidney disease (ESKD) compared with healthy controls. In all, 38 ESKD patients and 43 healthy participants were prospectively enrolled. They exhibited no...
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-80645-2 |
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| author | Jiyae Yi Chang Min Heo Bong Soo Park Yoo Jin Lee Sihyung Park Yang Wook Kim Dong Ah Lee Kang Min Park Jinseung Kim Junghae Ko |
| author_facet | Jiyae Yi Chang Min Heo Bong Soo Park Yoo Jin Lee Sihyung Park Yang Wook Kim Dong Ah Lee Kang Min Park Jinseung Kim Junghae Ko |
| author_sort | Jiyae Yi |
| collection | DOAJ |
| description | Abstract This study aimed to investigate alterations in a multilayer network combining structural and functional layers in patients with end-stage kidney disease (ESKD) compared with healthy controls. In all, 38 ESKD patients and 43 healthy participants were prospectively enrolled. They exhibited normal brain magnetic resonance imaging (MRI) without any structural lesions. All participants, both ESRD patients and healthy controls, underwent T1-weighted imaging, diffusion tensor imaging (DTI), and resting-state functional MRI (rs-fMRI) using the same three-tesla MRI scanner. A structural connectivity matrix was generated using the DTI and DSI programs, and a functional connectivity matrix was created using the rs-fMRI and SPM programs in the CONN toolbox. Multilayer network analysis was conducted based on structural and functional connectivity matrices using BRAPH. Significant differences were observed at the global level in the multilayer network between patients with ESKD and healthy controls. The weighted multiplex participation was lower in patients with ESKD than in healthy controls (0.6454 vs. 0.7212, adjusted p = 0.049). However, other multilayer network measures did not differ. The weighted multiplex participation in the right subcentral gyrus, right opercular part of the inferior frontal gyrus, right occipitotemporal medial lingual gyrus, and right postcentral gyrus in patients with ESKD was lower than that in the corresponding regions in healthy controls (0.6704 vs. 0.8562, 0.8593 vs. 0.9388, 0.7778 vs. 0.8849, and 0.6825 vs. 0.8112; adjusted p < 0.05, respectively).This study demonstrated that the multilayer network combining structural and functional layers in patients with ESKD was different from that in healthy controls. The specific differences in weighted multiplex participation suggest potential disruptions in the integrated communication between different brain regions in these patients. |
| format | Article |
| id | doaj-art-e2a5d0d158f04b6c8bf18dc940b98cd2 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e2a5d0d158f04b6c8bf18dc940b98cd22025-01-05T12:29:44ZengNature PortfolioScientific Reports2045-23222024-12-011411710.1038/s41598-024-80645-2Multilayer network analysis in patients with end-stage kidney diseaseJiyae Yi0Chang Min Heo1Bong Soo Park2Yoo Jin Lee3Sihyung Park4Yang Wook Kim5Dong Ah Lee6Kang Min Park7Jinseung Kim8Junghae Ko9Departments of Internal Medicine, Haeundae Paik Hospital, Inje University College of MedicineDepartments of Internal Medicine, Haeundae Paik Hospital, Inje University College of MedicineDepartments of Internal Medicine, Haeundae Paik Hospital, Inje University College of MedicineDepartments of Internal Medicine, Haeundae Paik Hospital, Inje University College of MedicineDepartments of Internal Medicine, Haeundae Paik Hospital, Inje University College of MedicineDepartments of Internal Medicine, Haeundae Paik Hospital, Inje University College of MedicineDepartments of Neurology, Haeundae Paik Hospital, Inje University College of MedicineDepartments of Neurology, Haeundae Paik Hospital, Inje University College of MedicineDepartment of Family Medicine, Busan Paik Hospital, Inje University College of MedicineDepartment of Internal Medicine, Haeundae Paik Hospital, Inje University College of MedicineAbstract This study aimed to investigate alterations in a multilayer network combining structural and functional layers in patients with end-stage kidney disease (ESKD) compared with healthy controls. In all, 38 ESKD patients and 43 healthy participants were prospectively enrolled. They exhibited normal brain magnetic resonance imaging (MRI) without any structural lesions. All participants, both ESRD patients and healthy controls, underwent T1-weighted imaging, diffusion tensor imaging (DTI), and resting-state functional MRI (rs-fMRI) using the same three-tesla MRI scanner. A structural connectivity matrix was generated using the DTI and DSI programs, and a functional connectivity matrix was created using the rs-fMRI and SPM programs in the CONN toolbox. Multilayer network analysis was conducted based on structural and functional connectivity matrices using BRAPH. Significant differences were observed at the global level in the multilayer network between patients with ESKD and healthy controls. The weighted multiplex participation was lower in patients with ESKD than in healthy controls (0.6454 vs. 0.7212, adjusted p = 0.049). However, other multilayer network measures did not differ. The weighted multiplex participation in the right subcentral gyrus, right opercular part of the inferior frontal gyrus, right occipitotemporal medial lingual gyrus, and right postcentral gyrus in patients with ESKD was lower than that in the corresponding regions in healthy controls (0.6704 vs. 0.8562, 0.8593 vs. 0.9388, 0.7778 vs. 0.8849, and 0.6825 vs. 0.8112; adjusted p < 0.05, respectively).This study demonstrated that the multilayer network combining structural and functional layers in patients with ESKD was different from that in healthy controls. The specific differences in weighted multiplex participation suggest potential disruptions in the integrated communication between different brain regions in these patients.https://doi.org/10.1038/s41598-024-80645-2Neural networksConnectomeMagnetic resonance imaging |
| spellingShingle | Jiyae Yi Chang Min Heo Bong Soo Park Yoo Jin Lee Sihyung Park Yang Wook Kim Dong Ah Lee Kang Min Park Jinseung Kim Junghae Ko Multilayer network analysis in patients with end-stage kidney disease Scientific Reports Neural networks Connectome Magnetic resonance imaging |
| title | Multilayer network analysis in patients with end-stage kidney disease |
| title_full | Multilayer network analysis in patients with end-stage kidney disease |
| title_fullStr | Multilayer network analysis in patients with end-stage kidney disease |
| title_full_unstemmed | Multilayer network analysis in patients with end-stage kidney disease |
| title_short | Multilayer network analysis in patients with end-stage kidney disease |
| title_sort | multilayer network analysis in patients with end stage kidney disease |
| topic | Neural networks Connectome Magnetic resonance imaging |
| url | https://doi.org/10.1038/s41598-024-80645-2 |
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