S
Sune Nørhøj Jespersen
Researcher at Aarhus University
Publications - 130
Citations - 5903
Sune Nørhøj Jespersen is an academic researcher from Aarhus University. The author has contributed to research in topics: Diffusion MRI & Diffusion Kurtosis Imaging. The author has an hindex of 40, co-authored 120 publications receiving 4854 citations. Previous affiliations of Sune Nørhøj Jespersen include Aarhus University Hospital & University of Leeds.
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The roles of cerebral blood flow, capillary transit time heterogeneity, and oxygen tension in brain oxygenation and metabolism
TL;DR: This model predicts that disturbed capillary flows may cause a condition of malignant CTTH, in which states of higher CBF display lower oxygen availability, and proposes that conditions with altered capillary morphology, such as amyloid, diabetic or hypertensive microangiopathy, and ischemia—reperfusion, may disturb CTTH and thereby flow-metabolism coupling and cerebral oxygen metabolism.
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Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation
TL;DR: In this article, the authors review, systematize and discuss models of diffusion in neuronal tissue, by putting them into an overarching physical context of coarse-graining over an increasing diffusion length scale.
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Lévy flights in external force fields: Langevin and fractional Fokker-Planck equations and their solutions
TL;DR: In this paper, a Langevin equation with Levy noise and a generalized Fokker-Planck equation containing a fractional derivative in space are described for Levy flights subject to external force fields.
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Modeling dendrite density from magnetic resonance diffusion measurements.
Sune Nørhøj Jespersen,Christopher D. Kroenke,Leif Østergaard,Joseph J. H. Ackerman,Dmitriy A. Yablonskiy +4 more
TL;DR: A simplified model of neural cytoarchitecture intended to capture the essential features important for water diffusion as measured by NMR is proposed, likely to be of value for understanding normal as well as abnormal brain development and function.
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Neurite density from magnetic resonance diffusion measurements at ultrahigh field: Comparison with light microscopy and electron microscopy
Sune Nørhøj Jespersen,Carsten R. Bjarkam,Carsten R. Bjarkam,Jens R. Nyengaard,M. Mallar Chakravarty,M. Mallar Chakravarty,Brian Hansen,Thomas Vosegaard,Leif Østergaard,Dmitriy A. Yablonskiy,Niels Chr. Nielsen,Peter Vestergaard-Poulsen +11 more
TL;DR: This work finds that the diffusion model describes data better and that its parameters show stronger correlation with optical and electron microscopy, and thus reflect myelinated neurite density better than the more frequently used diffusion tensor imaging (DTI) and cumulant expansion methods.