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  Simulating local deformations in the human cortex due to blood flow-induced changes in mechanical tissue properties: Impact on functional magnetic resonance imaging

Zoraghi, M., Scherf, N., Jaeger, C., Sack, I., Hirsch, S., Hetzer, S., et al. (2021). Simulating local deformations in the human cortex due to blood flow-induced changes in mechanical tissue properties: Impact on functional magnetic resonance imaging. Frontiers in Neuroscience, 15: 722366. doi:10.3389/fnins.2021.722366.

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Zoraghi, Mahsa1, Author              
Scherf, Nico2, 3, Author              
Jaeger, Carsten1, Author              
Sack, Ingolf4, Author
Hirsch, Sebastian5, 6, Author
Hetzer, Stefan5, 6, Author
Weiskopf, Nikolaus1, 7, Author              
1Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
2Method and Development Group Neural Data Science and Statistical Computing, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3282987              
3Institute for Medical Informatics and Biometry, University Hospital Carl Gustav Carus, Dresden, Germany, ou_persistent22              
4Department of Radiology, Charité University Medicine Berlin, Germany, ou_persistent22              
5Berlin Center for Advanced Neuroimaging (BCAN), Charité University Medicine Berlin, Germany, ou_persistent22              
6Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              
7Felix Bloch Institute for Solid State Physics, University of Leipzig, Germany, ou_persistent22              


Free keywords: BOLD; VASO; Biophysical modeling; Blood flow; Deformation; fMRI; Simulation; Tissue mechanics
 Abstract: Investigating human brain tissue is challenging due to the complexity and the manifold interactions between structures across different scales. Increasing evidence suggests that brain function and microstructural features including biomechanical features are related. More importantly, the relationship between tissue mechanics and its influence on brain imaging results remains poorly understood. As an important example, the study of the brain tissue response to blood flow could have important theoretical and experimental consequences for functional magnetic resonance imaging (fMRI) at high spatial resolutions. Computational simulations, using realistic mechanical models can predict and characterize the brain tissue behavior and give us insights into the consequent potential biases or limitations of in vivo, high-resolution fMRI. In this manuscript, we used a two dimensional biomechanical simulation of an exemplary human gyrus to investigate the relationship between mechanical tissue properties and the respective changes induced by focal blood flow changes. The model is based on the changes in the brain’s stiffness and volume due to the vasodilation evoked by neural activity. Modeling an exemplary gyrus from a brain atlas we assessed the influence of different potential mechanisms: (i) a local increase in tissue stiffness (at the level of a single anatomical layer), (ii) an increase in local volume, and (iii) a combination of both effects. Our simulation results showed considerable tissue displacement because of these temporary changes in mechanical properties. We found that the local volume increase causes more deformation and consequently higher displacement of the gyrus. These displacements introduced considerable artifacts in our simulated fMRI measurements. Our results underline the necessity to consider and characterize the tissue displacement which could be responsible for fMRI artifacts.


Language(s): eng - English
 Dates: 2021-09-21
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3389/fnins.2021.722366
Other: eCollection 2021
PMID: 34621151
PMC: PMC8490675
 Degree: -



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Project name : -
Grant ID : #276880906 and #39052203
Funding program : -
Funding organization : German Research Foundation
Project name : -
Grant ID : 616905 and 681094
Funding program : -
Funding organization : European Union
Project name : -
Grant ID : 01EW1711A & B
Funding program : -
Funding organization : Bundesministerium für Bildung und Forschung

Source 1

Title: Frontiers in Neuroscience
  Other : Front Neurosci
Source Genre: Journal
Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 15 Sequence Number: 722366 Start / End Page: - Identifier: ISSN: 1662-4548
ISSN: 1662-453X
CoNE: https://pure.mpg.de/cone/journals/resource/1662-4548