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van Duinkerken E, Schoonheim MM, IJzerman RG, et al. Altered eigenvector centrality is related to local resting-state network functional connectivity in patients with longstanding type 1 diabetes mellitus. Hum Brain Mapp. 2017;38(7):3623-3636doi: 10.1002/hbm.23617.
van Duinkerken, E., Schoonheim, M. M., IJzerman, R. G., Moll, A. C., Landeira-Fernandez, J., Klein, M., Diamant, M., Snoek, F. J., Barkhof, F., & Wink, A. M. (2017). Altered eigenvector centrality is related to local resting-state network functional connectivity in patients with longstanding type 1 diabetes mellitus. Human brain mapping, 38(7), 3623-3636. https://doi.org/10.1002/hbm.23617
van Duinkerken, Eelco, et al. "Altered eigenvector centrality is related to local resting-state network functional connectivity in patients with longstanding type 1 diabetes mellitus." Human brain mapping vol. 38,7 (2017): 3623-3636. doi: https://doi.org/10.1002/hbm.23617
van Duinkerken E, Schoonheim MM, IJzerman RG, Moll AC, Landeira-Fernandez J, Klein M, Diamant M, Snoek FJ, Barkhof F, Wink AM. Altered eigenvector centrality is related to local resting-state network functional connectivity in patients with longstanding type 1 diabetes mellitus. Hum Brain Mapp. 2017 Jul;38(7):3623-3636. doi: 10.1002/hbm.23617. Epub 2017 Apr 21. PMID: 28429383; PMCID: PMC6866895.
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Hum Brain Mapp. 2017 Jul;38(7):3623-3636. doi: 10.1002/hbm.23617. Epub 2017 Apr 21.

Altered eigenvector centrality is related to local resting-state network functional connectivity in patients with longstanding type 1 diabetes mellitus.

Human brain mapping

Eelco van Duinkerken, Menno M Schoonheim, Richard G IJzerman, Annette C Moll, Jesus Landeira-Fernandez, Martin Klein, Michaela Diamant, Frank J Snoek, Frederik Barkhof, Alle-Meije Wink

Affiliations

  1. Department of Medical Psychology, VU University Medical Center, Amsterdam, The Netherlands.
  2. Amsterdam Diabetes Center/Department of Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands.
  3. Department of Psychology, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.
  4. Department of Anatomy and Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.
  5. Department of Ophthalmology, VU University Medical Center, Amsterdam, The Netherlands.
  6. Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.
  7. Institute of Neurology and Healthcare Engineering, University College London, London, United Kingdom.

PMID: 28429383 PMCID: PMC6866895 DOI: 10.1002/hbm.23617

Abstract

INTRODUCTION: Longstanding type 1 diabetes (T1DM) is associated with microangiopathy and poorer cognition. In the brain, T1DM is related to increased functional resting-state network (RSN) connectivity in patients without, which was decreased in patients with clinically evident microangiopathy. Subcortical structure seems affected in both patient groups. How these localized alterations affect the hierarchy of the functional network in T1DM is unknown. Eigenvector centrality mapping (ECM) and degree centrality are graph theoretical methods that allow determining the relative importance (ECM) and connectedness (degree centrality) of regions within the whole-brain network hierarchy.

METHODS: Therefore, ECM and degree centrality of resting-state functional MRI-scans were compared between 51 patients with, 53 patients without proliferative retinopathy, and 49 controls, and associated with RSN connectivity, subcortical gray matter volume, and cognition.

RESULTS: In all patients versus controls, ECM and degree centrality were lower in the bilateral thalamus and the dorsal striatum, with lowest values in patients without proliferative retinopathy (P

CONCLUSION: The findings suggested reorganization of the hierarchy of the cortical connectivity network in patients without proliferative retinopathy, which is lost with disease progression. Centrality seems sensitive to capture early T1DM-related functional connectivity alterations, but not disease progression. Hum Brain Mapp 38:3623-3636, 2017. © 2017 Wiley Periodicals, Inc.

© 2017 Wiley Periodicals, Inc.

Keywords: cognition; eigenvector centrality mapping; graph theory; resting-state fMRI; type 1 diabetes

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