The connectomics of brain demyelination: functional and structural patterns in the cuprizone mouse model

Huebner, Neele S., Mechling, Anna E., Lee, Hsu-Lei, Reisert, Marco, Bienert, Thomas, Hennig, Juergen, von Elverfeldt, Dominik and Harsan, Laura-Adela (2017) The connectomics of brain demyelination: functional and structural patterns in the cuprizone mouse model. NeuroImage, 146 1-18. doi:10.1016/j.neuroimage.2016.11.008


Author Huebner, Neele S.
Mechling, Anna E.
Lee, Hsu-Lei
Reisert, Marco
Bienert, Thomas
Hennig, Juergen
von Elverfeldt, Dominik
Harsan, Laura-Adela
Title The connectomics of brain demyelination: functional and structural patterns in the cuprizone mouse model
Journal name NeuroImage   Check publisher's open access policy
ISSN 1095-9572
1053-8119
Publication date 2017-02-01
Sub-type Article (original research)
DOI 10.1016/j.neuroimage.2016.11.008
Open Access Status Not yet assessed
Volume 146
Start page 1
End page 18
Total pages 18
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Abstract Connectomics of brain disorders seeks to reveal how altered brain function emerges from the architecture of cerebral networks; however the causal impact of targeted cellular damage on the whole brain functional and structural connectivity remains unknown. In the central nervous system, demyelination is typically the consequence of an insult targeted at the oligodendrocytes, the cells forming and maintaining the myelin. This triggered perturbation generates cascades of pathological events that most likely alter the brain connectome. Here we induced oligodendrocyte death and subsequent demyelinating pathology via cuprizone treatment in mice and combining mouse brain resting state functional Magnetic Resonance Imaging and diffusion tractography we established functional and structural pathology-to-network signatures. We demonstrated that demyelinated brain fundamentally reorganizes its intrinsic functional connectivity paralleled by widespread damage of the structural scaffolding. We evidenced default mode-like network as core target of demyelination-induced connectivity modulations and hippocampus as the area with strongest connectional perturbations.
Keyword Anticorrelated networks
Default mode network
Diffusion tensor imaging
Hippocampal connectivity
Mouse brain connectivity
Resting state functional magnetic resonance imaging
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID
AF12-NEUR0008-01 -WM2NA
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Brain Institute Publications
 
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Created: Mon, 26 Jun 2017, 14:23:59 EST by Kirstie Asmussen on behalf of Learning and Research Services (UQ Library)