Literature DB >> 27181761

High-resolution characterisation of the aging brain using simultaneous quantitative susceptibility mapping (QSM) and R2* measurements at 7T.

Matthew J Betts1, Julio Acosta-Cabronero2, Arturo Cardenas-Blanco3, Peter J Nestor2, Emrah Düzel4.   

Abstract

Quantitative susceptibility mapping (QSM) has recently emerged as a novel magnetic resonance imaging (MRI) method to detect non-haem iron deposition, calcifications, demyelination and vascular lesions in the brain. It has been suggested that QSM is more sensitive than the more conventional quantifiable MRI measure, namely the transverse relaxation rate, R2*. Here, we conducted the first high-resolution, whole-brain, simultaneously acquired, comparative study of the two techniques using 7Tesla MRI. We asked which of the two techniques would be more sensitive to explore global differences in tissue composition in elderly adults relative to young subjects. Both QSM and R2* revealed strong age-related differences in subcortical regions, hippocampus and cortical grey matter, particularly in superior frontal regions, motor/premotor cortices, insula and cerebellar regions. Within the basal ganglia system-but also hippocampus and cerebellar dentate nucleus-, QSM was largely in agreement with R2* with the exception of the globus pallidus. QSM, however, provided superior anatomical contrast and revealed age-related differences in the thalamus and in white matter, which were otherwise largely undetected by R2* measurements. In contrast, in occipital cortex, age-related differences were much greater with R2* compared to QSM. The present study, therefore, demonstrated that in vivo QSM using ultra-high field MRI provides a novel means to characterise age-related differences in the human brain, but also combining QSM and R2* using multi-gradient recalled echo imaging can potentially provide a more complete picture of mineralisation, demyelination and/or vascular alterations in aging and disease.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Brain iron; Brain mineralisation; Cortex; Quantitative susceptibility mapping; R(2)* mapping; Subcortical grey matter; White matter

Mesh:

Year:  2016        PMID: 27181761     DOI: 10.1016/j.neuroimage.2016.05.024

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  30 in total

1.  Simultaneous quantitative susceptibility mapping (QSM) and R2* for high iron concentration quantification with 3D ultrashort echo time sequences: An echo dependence study.

Authors:  Xing Lu; Yajun Ma; Eric Y Chang; Qun He; Adam Searleman; Annette von Drygalski; Jiang Du
Journal:  Magn Reson Med       Date:  2018-01-04       Impact factor: 4.668

2.  Combined Diffusion Tensor Imaging and Apparent Transverse Relaxation Rate Differentiate Parkinson Disease and Atypical Parkinsonism.

Authors:  G Du; M M Lewis; S Kanekar; N W Sterling; L He; L Kong; R Li; X Huang
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-31       Impact factor: 3.825

3.  Exploring the origins of echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds.

Authors:  Matthew J Cronin; Nian Wang; Kyle S Decker; Hongjiang Wei; Wen-Zhen Zhu; Chunlei Liu
Journal:  Neuroimage       Date:  2017-01-23       Impact factor: 6.556

4.  Age-related magnetic susceptibility changes in deep grey matter and cerebral cortex of normal young and middle-aged adults depicted by whole brain analysis.

Authors:  Romana Burgetova; Petr Dusek; Andrea Burgetova; Adam Pudlac; Manuela Vaneckova; Dana Horakova; Jan Krasensky; Zsoka Varga; Lukas Lambert
Journal:  Quant Imaging Med Surg       Date:  2021-09

5.  Quantitative Susceptibility MRI to Detect Brain Iron in Amyotrophic Lateral Sclerosis.

Authors:  Julio Acosta-Cabronero; Judith Machts; Stefanie Schreiber; Susanne Abdulla; Katja Kollewe; Susanne Petri; Nicola Spotorno; Joern Kaufmann; Hans-Jochen Heinze; Reinhard Dengler; Stefan Vielhaber; Peter J Nestor
Journal:  Radiology       Date:  2018-07-24       Impact factor: 11.105

6.  Simultaneous QSM and metabolic imaging of the brain using SPICE: Further improvements in data acquisition and processing.

Authors:  Rong Guo; Yibo Zhao; Yudu Li; Tianyao Wang; Yao Li; Brad Sutton; Zhi-Pei Liang
Journal:  Magn Reson Med       Date:  2020-08-18       Impact factor: 4.668

Review 7.  The Aging Navigational System.

Authors:  Adam W Lester; Scott D Moffat; Jan M Wiener; Carol A Barnes; Thomas Wolbers
Journal:  Neuron       Date:  2017-08-30       Impact factor: 17.173

8.  Investigation of the association between cerebral iron content and myelin content in normative aging using quantitative magnetic resonance neuroimaging.

Authors:  Nikkita Khattar; Curtis Triebswetter; Matthew Kiely; Luigi Ferrucci; Susan M Resnick; Richard G Spencer; Mustapha Bouhrara
Journal:  Neuroimage       Date:  2021-06-15       Impact factor: 7.400

9.  A multi-contrast MRI approach to thalamus segmentation.

Authors:  Veronica Corona; Jan Lellmann; Peter Nestor; Carola-Bibiane Schönlieb; Julio Acosta-Cabronero
Journal:  Hum Brain Mapp       Date:  2020-01-20       Impact factor: 5.399

10.  Healthy dietary intake moderates the effects of age on brain iron concentration and working memory performance.

Authors:  Valentinos Zachariou; Christopher E Bauer; Elayna R Seago; Georgia Panayiotou; Edward D Hall; D Allan Butterfield; Brian T Gold
Journal:  Neurobiol Aging       Date:  2021-06-22       Impact factor: 5.133

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