Literature DB >> 14663334

Magnetic resonance imaging in experimental models of brain disorders.

Rick M Dijkhuizen1, Klaas Nicolay.   

Abstract

This review gives an overview of the application of magnetic resonance imaging (MRI) in experimental models of brain disorders. MRI is a noninvasive and versatile imaging modality that allows longitudinal and three-dimensional assessment of tissue morphology, metabolism, physiology, and function. MRI can be sensitized to proton density, T1, T2, susceptibility contrast, magnetization transfer, diffusion, perfusion, and flow. The combination of different MRI approaches (e.g., diffusion-weighted MRI, perfusion MRI, functional MRI, cell-specific MRI, and molecular MRI) allows in vivo multiparametric assessment of the pathophysiology, recovery mechanisms, and treatment strategies in experimental models of stroke, brain tumors, multiple sclerosis, neurodegenerative diseases, traumatic brain injury, epilepsy, and other brain disorders. This report reviews established MRI methods as well as promising developments in MRI research that have advanced and continue to improve our understanding of neurologic diseases and that are believed to contribute to the development of recovery improving strategies.

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Year:  2003        PMID: 14663334     DOI: 10.1097/01.WCB.0000100341.78607.EB

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  31 in total

Review 1.  Techniques for brain imaging in vivo.

Authors:  Monica Garcia-Alloza; Brian J Bacskai
Journal:  Neuromolecular Med       Date:  2004       Impact factor: 3.843

2.  Automated Ischemic Lesion Segmentation in MRI Mouse Brain Data after Transient Middle Cerebral Artery Occlusion.

Authors:  Inge A Mulder; Artem Khmelinskii; Oleh Dzyubachyk; Sebastiaan de Jong; Nathalie Rieff; Marieke J H Wermer; Mathias Hoehn; Boudewijn P F Lelieveldt; Arn M J M van den Maagdenberg
Journal:  Front Neuroinform       Date:  2017-01-31       Impact factor: 4.081

3.  Gadolinium- and 5-aminolevulinic acid-induced protoporphyrin IX levels in human gliomas: an ex vivo quantitative study to correlate protoporphyrin IX levels and blood-brain barrier breakdown.

Authors:  Pablo A Valdés; Ziev B Moses; Anthony Kim; Clifford J Belden; Brian C Wilson; Keith D Paulsen; David W Roberts; Brent T Harris
Journal:  J Neuropathol Exp Neurol       Date:  2012-09       Impact factor: 3.685

4.  A stable focal cerebral ischemia injury model in adult mice: assessment using 7T MR imaging.

Authors:  F Zhang; R-M Guo; M Yang; X-H Wen; J Shen
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-19       Impact factor: 3.825

5.  Ensemble average propagator-based detection of microstructural alterations after stroke.

Authors:  Lorenza Brusini; Silvia Obertino; Ilaria Boscolo Galazzo; Mauro Zucchelli; Gunnar Krueger; Cristina Granziera; Gloria Menegaz
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-07-01       Impact factor: 2.924

Review 6.  Specific biomarkers of receptors, pathways of inhibition and targeted therapies: clinical applications.

Authors:  Y Waerzeggers; R T Ullrich; P Monfared; T Viel; M Weckesser; W Stummer; O Schober; A Winkeler; A H Jacobs
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

7.  Advances in MRI-Based Detection of Cerebrovascular Changes after Experimental Traumatic Brain Injury.

Authors:  Rick M Dijkhuizen
Journal:  Transl Stroke Res       Date:  2011-11-12       Impact factor: 6.829

8.  Magnetic resonance imaging of local and remote vascular remodelling after experimental stroke.

Authors:  Pavel Yanev; Peter R Seevinck; Umesh S Rudrapatna; Mark Jrj Bouts; Annette van der Toorn; Karen Gertz; Golo Kronenberg; Matthias Endres; Geralda A van Tilborg; Rick M Dijkhuizen
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

9.  Does pilocarpine-induced epilepsy in adult rats require status epilepticus?

Authors:  Graciela Navarro Mora; Placido Bramanti; Francesco Osculati; Asmaa Chakir; Elena Nicolato; Pasquina Marzola; Andrea Sbarbati; Paolo Francesco Fabene
Journal:  PLoS One       Date:  2009-06-02       Impact factor: 3.240

10.  Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution.

Authors:  Daniel Mietchen; Christian Gaser
Journal:  Front Neuroinform       Date:  2009-08-11       Impact factor: 4.081

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