Abnormal structural connectivity in the brain networks of children with hydrocephalus
Increased intracranial pressure and ventriculomegaly in children with hydrocephalus are known to have adverse effects on white matter structure. This study seeks to investigate the impact of hydrocephalus on topological features of brain networks in children. The goal was to investigate structural n...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2015-01-01
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| Series: | NeuroImage: Clinical |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158215000820 |
| _version_ | 1811259297723580416 |
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| author | Weihong Yuan Scott K. Holland Joshua S. Shimony Mekibib Altaye Francesco T. Mangano David D. Limbrick Blaise V. Jones Tiffany Nash Akila Rajagopal Sarah Simpson Dustin Ragan Robert C. McKinstry |
| author_facet | Weihong Yuan Scott K. Holland Joshua S. Shimony Mekibib Altaye Francesco T. Mangano David D. Limbrick Blaise V. Jones Tiffany Nash Akila Rajagopal Sarah Simpson Dustin Ragan Robert C. McKinstry |
| author_sort | Weihong Yuan |
| collection | DOAJ |
| description | Increased intracranial pressure and ventriculomegaly in children with hydrocephalus are known to have adverse effects on white matter structure. This study seeks to investigate the impact of hydrocephalus on topological features of brain networks in children. The goal was to investigate structural network connectivity, at both global and regional levels, in the brains in children with hydrocephalus using graph theory analysis and diffusion tensor tractography. Three groups of children were included in the study (29 normally developing controls, 9 preoperative hydrocephalus patients, and 17 postoperative hydrocephalus patients). Graph theory analysis was applied to calculate the global network measures including small-worldness, normalized clustering coefficients, normalized characteristic path length, global efficiency, and modularity. Abnormalities in regional network parameters, including nodal degree, local efficiency, clustering coefficient, and betweenness centrality, were also compared between the two patients groups (separately) and the controls using two tailed t-test at significance level of p < 0.05 (corrected for multiple comparison). Children with hydrocephalus in both the preoperative and postoperative groups were found to have significantly lower small-worldness and lower normalized clustering coefficient than controls. Children with hydrocephalus in the postoperative group were also found to have significantly lower normalized characteristic path length and lower modularity. At regional level, significant group differences (or differences at trend level) in regional network measures were found between hydrocephalus patients and the controls in a series of brain regions including the medial occipital gyrus, medial frontal gyrus, thalamus, cingulate gyrus, lingual gyrus, rectal gyrus, caudate, cuneus, and insular. Our data showed that structural connectivity analysis using graph theory and diffusion tensor tractography is sensitive to detect abnormalities of brain network connectivity associated with hydrocephalus at both global and regional levels, thus providing a new avenue for potential diagnosis and prognosis tool for children with hydrocephalus. |
| first_indexed | 2024-04-12T18:28:03Z |
| format | Article |
| id | doaj.art-5da0a1a323974f7ca0dcfe064a5a5e52 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-04-12T18:28:03Z |
| publishDate | 2015-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-5da0a1a323974f7ca0dcfe064a5a5e522022-12-22T03:21:09ZengElsevierNeuroImage: Clinical2213-15822015-01-018C48349210.1016/j.nicl.2015.04.015Abnormal structural connectivity in the brain networks of children with hydrocephalusWeihong Yuan0Scott K. Holland1Joshua S. Shimony2Mekibib Altaye3Francesco T. Mangano4David D. Limbrick5Blaise V. Jones6Tiffany Nash7Akila Rajagopal8Sarah Simpson9Dustin Ragan10Robert C. McKinstry11Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USADepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USAMallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USADiv. of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USADivision of Pediatric Neurosurgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USADepartment of Neurological Surgery, Washington University School of Medicine, Saint Louis, MO, USADepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USADepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USADepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USADepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USADepartment of Neurological Surgery, Washington University School of Medicine, Saint Louis, MO, USAMallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USAIncreased intracranial pressure and ventriculomegaly in children with hydrocephalus are known to have adverse effects on white matter structure. This study seeks to investigate the impact of hydrocephalus on topological features of brain networks in children. The goal was to investigate structural network connectivity, at both global and regional levels, in the brains in children with hydrocephalus using graph theory analysis and diffusion tensor tractography. Three groups of children were included in the study (29 normally developing controls, 9 preoperative hydrocephalus patients, and 17 postoperative hydrocephalus patients). Graph theory analysis was applied to calculate the global network measures including small-worldness, normalized clustering coefficients, normalized characteristic path length, global efficiency, and modularity. Abnormalities in regional network parameters, including nodal degree, local efficiency, clustering coefficient, and betweenness centrality, were also compared between the two patients groups (separately) and the controls using two tailed t-test at significance level of p < 0.05 (corrected for multiple comparison). Children with hydrocephalus in both the preoperative and postoperative groups were found to have significantly lower small-worldness and lower normalized clustering coefficient than controls. Children with hydrocephalus in the postoperative group were also found to have significantly lower normalized characteristic path length and lower modularity. At regional level, significant group differences (or differences at trend level) in regional network measures were found between hydrocephalus patients and the controls in a series of brain regions including the medial occipital gyrus, medial frontal gyrus, thalamus, cingulate gyrus, lingual gyrus, rectal gyrus, caudate, cuneus, and insular. Our data showed that structural connectivity analysis using graph theory and diffusion tensor tractography is sensitive to detect abnormalities of brain network connectivity associated with hydrocephalus at both global and regional levels, thus providing a new avenue for potential diagnosis and prognosis tool for children with hydrocephalus.http://www.sciencedirect.com/science/article/pii/S2213158215000820Graph theoretical analysisNetworkPediatric hydrocephalusSmall-worldness |
| spellingShingle | Weihong Yuan Scott K. Holland Joshua S. Shimony Mekibib Altaye Francesco T. Mangano David D. Limbrick Blaise V. Jones Tiffany Nash Akila Rajagopal Sarah Simpson Dustin Ragan Robert C. McKinstry Abnormal structural connectivity in the brain networks of children with hydrocephalus NeuroImage: Clinical Graph theoretical analysis Network Pediatric hydrocephalus Small-worldness |
| title | Abnormal structural connectivity in the brain networks of children with hydrocephalus |
| title_full | Abnormal structural connectivity in the brain networks of children with hydrocephalus |
| title_fullStr | Abnormal structural connectivity in the brain networks of children with hydrocephalus |
| title_full_unstemmed | Abnormal structural connectivity in the brain networks of children with hydrocephalus |
| title_short | Abnormal structural connectivity in the brain networks of children with hydrocephalus |
| title_sort | abnormal structural connectivity in the brain networks of children with hydrocephalus |
| topic | Graph theoretical analysis Network Pediatric hydrocephalus Small-worldness |
| url | http://www.sciencedirect.com/science/article/pii/S2213158215000820 |
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