Literature DB >> 22432902

Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains.

Andrew L Alexander1, Samuel A Hurley, Alexey A Samsonov, Nagesh Adluru, Ameer Pasha Hosseinbor, Pouria Mossahebi, Do P M Tromp, Elizabeth Zakszewski, Aaron S Field.   

Abstract

The image contrast in magnetic resonance imaging (MRI) is highly sensitive to several mechanisms that are modulated by the properties of the tissue environment. The degree and type of contrast weighting may be viewed as image filters that accentuate specific tissue properties. Maps of quantitative measures of these mechanisms, akin to microstructural/environmental-specific tissue stains, may be generated to characterize the MRI and physiological properties of biological tissues. In this article, three quantitative MRI (qMRI) methods for characterizing white matter (WM) microstructural properties are reviewed. All of these measures measure complementary aspects of how water interacts with the tissue environment. Diffusion MRI, including diffusion tensor imaging, characterizes the diffusion of water in the tissues and is sensitive to the microstructural density, spacing, and orientational organization of tissue membranes, including myelin. Magnetization transfer imaging characterizes the amount and degree of magnetization exchange between free water and macromolecules like proteins found in the myelin bilayers. Relaxometry measures the MRI relaxation constants T1 and T2, which in WM have a component associated with the water trapped in the myelin bilayers. The conduction of signals between distant brain regions occurs primarily through myelinated WM tracts; thus, these methods are potential indicators of pathology and structural connectivity in the brain. This article provides an overview of the qMRI stain mechanisms, acquisition and analysis strategies, and applications for these qMRI stains.

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Year:  2012        PMID: 22432902      PMCID: PMC3360545          DOI: 10.1089/brain.2011.0071

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  216 in total

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2.  Definition of displacement probability and diffusion time in q-space magnetic resonance measurements that use finite-duration diffusion-encoding gradients.

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Journal:  J Magn Reson       Date:  2003-12       Impact factor: 2.229

3.  Age-related, regional, hemispheric, and medial-lateral differences in myelin integrity in vivo in the normal adult brain.

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Journal:  AJNR Am J Neuroradiol       Date:  2004 Jun-Jul       Impact factor: 3.825

4.  Characterization of white matter fiber bundles with T2* relaxometry and diffusion tensor imaging.

Authors:  Andrea Cherubini; Patrice Péran; Gisela Elisabeth Hagberg; Ambra Erika Varsi; Giacomo Luccichenti; Carlo Caltagirone; Umberto Sabatini; Gianfranco Spalletta
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

5.  Changes in the normal appearing brain tissue and cognitive impairment in multiple sclerosis.

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Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-02       Impact factor: 10.154

6.  White matter abnormalities of fronto-striato-thalamic circuitry in obsessive-compulsive disorder: A study using diffusion spectrum imaging tractography.

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7.  New diffusion phantoms dedicated to the study and validation of high-angular-resolution diffusion imaging (HARDI) models.

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8.  Relation between MR abnormalities and patterns of cognitive impairment in multiple sclerosis.

Authors:  M Rovaris; M Filippi; M Falautano; L Minicucci; M A Rocca; V Martinelli; G Comi
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9.  Estimation of the macromolecular proton fraction and bound pool T2 in multiple sclerosis.

Authors:  G R Davies; D J Tozer; M Cercignani; A Ramani; C M Dalton; A J Thompson; G J Barker; P S Tofts; D H Miller
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10.  A simple correction for B1 field errors in magnetization transfer ratio measurements.

Authors:  Rebecca S Samson; Claudia A M Wheeler-Kingshott; Mark R Symms; Daniel J Tozer; Paul S Tofts
Journal:  Magn Reson Imaging       Date:  2005-12-27       Impact factor: 2.546

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  177 in total

Review 1.  Diffusion tensor imaging in autism spectrum disorder: a review.

Authors:  Brittany G Travers; Nagesh Adluru; Chad Ennis; Do P M Tromp; Dan Destiche; Sam Doran; Erin D Bigler; Nicholas Lange; Janet E Lainhart; Andrew L Alexander
Journal:  Autism Res       Date:  2012-07-11       Impact factor: 5.216

2.  Whole brain fiber-based comparison (FBC)-A tool for diffusion tensor imaging-based cohort studies.

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Journal:  Hum Brain Mapp       Date:  2015-10-31       Impact factor: 5.038

3.  Fingolimod-improved axonal and myelin integrity of white matter tracts associated with multiple sclerosis-related functional impairments.

Authors:  Michael Gurevich; Roy Waknin; Evan Stone; Anat Achiron
Journal:  CNS Neurosci Ther       Date:  2018-01-05       Impact factor: 5.243

4.  Treatment Outcome-Related White Matter Differences in Veterans with Posttraumatic Stress Disorder.

Authors:  Mitzy Kennis; Sanne J H van Rooij; Do P M Tromp; Andrew S Fox; Arthur R Rademaker; René S Kahn; Ned H Kalin; Elbert Geuze
Journal:  Neuropsychopharmacology       Date:  2015-04-03       Impact factor: 7.853

Review 5.  The Original Social Network: White Matter and Social Cognition.

Authors:  Yin Wang; Ingrid R Olson
Journal:  Trends Cogn Sci       Date:  2018-04-05       Impact factor: 20.229

6.  White matter microstructure in anorexia nervosa.

Authors:  Andrea Phillipou; Sean P Carruthers; Maria A Di Biase; Andrew Zalesky; Larry A Abel; David J Castle; Caroline Gurvich; Susan L Rossell
Journal:  Hum Brain Mapp       Date:  2018-07-02       Impact factor: 5.038

7.  Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages.

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Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

8.  On the selection of sampling points for myocardial T1 mapping.

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Journal:  Magn Reson Med       Date:  2014-05-06       Impact factor: 4.668

9.  Spinal cord diffusion tensor imaging in patients with sensory neuronopathy.

Authors:  Raphael Fernandes Casseb; Jean Levi Ribeiro de Paiva; Lucas Melo Teixeira Branco; Alberto Rolim Muro Martinez; Fabiano Reis; José Carlos de Lima-Junior; Gabriela Castellano; Marcondes Cavalcante França Junior
Journal:  Neuroradiology       Date:  2016-08-25       Impact factor: 2.804

10.  Individual differences in white matter microstructure predict semantic control.

Authors:  Tehila Nugiel; Kylie H Alm; Ingrid R Olson
Journal:  Cogn Affect Behav Neurosci       Date:  2016-12       Impact factor: 3.282

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