Minimum spanning tree analysis of the human connectome
| Autor: | Cornelis J. Stam, Edwin van Dellen, Laurijn Draaisma, Prejaas Tewarie, Linda Douw, Willem M. Otte, Jesse A. Brown, René C.W. Mandl, Marc M. Bohlken, Maria A Di Biase, Iris E. C. Sommer, Andrew Zalesky |
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| Přispěvatelé: | Neurology, Anatomy and neurosciences, Amsterdam Neuroscience - Brain Imaging, Guided Treatment in Optimal Selected Cancer Patients (GUTS), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
COMMUNICATION Minimum spanning tree 0302 clinical medicine Neural Pathways Image Processing Computer-Assisted DISTORTIONS Subnetwork COMPLEX BRAIN NETWORKS RESTING-STATE FMRI Research Articles Radiological and Ultrasound Technology CONNECTIVITY PATTERNS 05 social sciences Brain Human Connectome Middle Aged Magnetic Resonance Imaging Diffusion tensor imaging Null (SQL) Hubs Neurology Radiology Nuclear Medicine and imaging Connectome Anatomy Research Article MRI Adult DIFFUSION TRACTOGRAPHY DISORDERS Brain networks Clinical Neurology ORGANIZATION 050105 experimental psychology 03 medical and health sciences Young Adult Neuroimaging Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Aged Resting state fMRI Reference network Null model business.industry Pattern recognition Neurology (clinical) Artificial intelligence Nerve Net business HUMAN CEREBRAL-CORTEX 030217 neurology & neurosurgery |
| Zdroj: | Human Brain Mapping, 39(6), 2455. Wiley-Liss Inc. van Dellen, E, Sommer, I E, Bohlken, M M, Tewarie, P, Draaisma, L, Zalesky, A, Di Biase, M, Brown, J A, Douw, L, Otte, W M, Mandl, R C W & Stam, C J 2018, ' Minimum spanning tree analysis of the human connectome ', Human Brain Mapping, vol. 39, no. 6, pp. 2455-2471 . https://doi.org/10.1002/hbm.24014 Human Brain Mapping, 39(6), 2455-2471. Wiley-Liss Inc. Human Brain Mapping Human brain mapping, 39(6), 2455-2471. Wiley |
| ISSN: | 1065-9471 |
| DOI: | 10.1002/hbm.24014 |
| Popis: | One of the challenges of brain network analysis is to directly compare network organization between subjects, irrespective of the number or strength of connections. In this study, we used minimum spanning tree (MST; a unique, acyclic subnetwork with a fixed number of connections) analysis to characterize the human brain network to create an empirical reference network. Such a reference network could be used as a null model of connections that form the backbone structure of the human brain. We analyzed the MST in three diffusion‐weighted imaging datasets of healthy adults. The MST of the group mean connectivity matrix was used as the empirical null‐model. The MST of individual subjects matched this reference MST for a mean 58%–88% of connections, depending on the analysis pipeline. Hub nodes in the MST matched with previously reported locations of hub regions, including the so‐called rich club nodes (a subset of high‐degree, highly interconnected nodes). Although most brain network studies have focused primarily on cortical connections, cortical–subcortical connections were consistently present in the MST across subjects. Brain network efficiency was higher when these connections were included in the analysis, suggesting that these tracts may be utilized as the major neural communication routes. Finally, we confirmed that MST characteristics index the effects of brain aging. We conclude that the MST provides an elegant and straightforward approach to analyze structural brain networks, and to test network topological features of individual subjects in comparison to empirical null models. |
| Databáze: | OpenAIRE |
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