Blaschke, Stefan J., Hensel, Lukas ORCID: 0000-0002-3915-5275, Minassian, Anuka, Vlachakis, Susan ORCID: 0000-0002-9429-2475, Tscherpel, Caroline, Vay, Sabine U., Rabenstein, Monika, Schroeter, Michael, Fink, Gereon R. ORCID: 0000-0002-8230-1856, Hoehn, Mathias, Grefkes, Christian and Rueger, Maria A. (2021). Translating Functional Connectivity After Stroke Functional Magnetic Resonance Imaging Detects Comparable Network Changes in Mice and Humans. Stroke, 52 (9). S. 2948 - 2961. PHILADELPHIA: LIPPINCOTT WILLIAMS & WILKINS. ISSN 1524-4628

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Abstract

Background and Purpose: The translational roadblock has long impeded the implementation of experimental therapeutic approaches for stroke into clinical routine. Considerable interspecies differences, for example, in brain anatomy and function, render comparisons between rodents and humans tricky, especially concerning brain reorganization and recovery of function. We tested whether stroke-evoked changes in neural networks follow similar patterns in mice and patients using a systems-level perspective. Methods: We acquired resting-state functional magnetic resonance imaging data during the early poststroke phase in a sample of human patients and compared the observed network changes with data from 2 mouse stroke models, that is, photothrombosis and distal middle cerebral artery occlusion. Importantly, data were subjected to the same processing steps, allowing a direct comparison of global network changes using graph theory. Results: We found that network parameters computed for both mouse models of stroke and humans follow a similar pattern in the postacute stroke phase. Parameters indicating the global communication structure's facilitation, such as small worldness and characteristic path length, were similarly changed in humans and mice in the first days after stroke. Additionally, small worldness correlated with concurrent motor impairment in humans. Longitudinal observation in the subacute phase revealed a negative correlation between initial small worldness and motor recovery in mice. Conclusions: We show that network measures based on resting-state functional magnetic resonance imaging data after stroke obtained in mice and humans share notable features. The observed network alterations could serve as therapeutic readout parameters for future translational studies in stroke research.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Blaschke, Stefan J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hensel, LukasUNSPECIFIEDorcid.org/0000-0002-3915-5275UNSPECIFIED
Minassian, AnukaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Vlachakis, SusanUNSPECIFIEDorcid.org/0000-0002-9429-2475UNSPECIFIED
Tscherpel, CarolineUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Vay, Sabine U.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rabenstein, MonikaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schroeter, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fink, Gereon R.UNSPECIFIEDorcid.org/0000-0002-8230-1856UNSPECIFIED
Hoehn, MathiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Grefkes, ChristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rueger, Maria A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-581428
DOI: 10.1161/STROKEAHA.120.032511
Journal or Publication Title: Stroke
Volume: 52
Number: 9
Page Range: S. 2948 - 2961
Date: 2021
Publisher: LIPPINCOTT WILLIAMS & WILKINS
Place of Publication: PHILADELPHIA
ISSN: 1524-4628
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
MOTOR RECOVERY; BRAIN NETWORKS; REORGANIZATION; FMRI; IMPAIRMENT; CORTEX; SIGNALMultiple languages
Clinical Neurology; Peripheral Vascular DiseaseMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/58142

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