Literature DB >> 27132546

Quantitative susceptibility mapping of striatum in children and adults, and its association with working memory performance.

Fahimeh Darki1, Federico Nemmi2, Annie Möller2, Rouslan Sitnikov3, Torkel Klingberg2.   

Abstract

Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique in which the magnetic susceptibility characteristic of molecular and cellular components, including iron and myelin, is quantified. Rapid iron accumulation in subcortical nuclei and myelination of the white matter tracts are two important developmental processes that contribute to cognitive functions. Both also contribute to the magnetic susceptibility of the brain tissues. Here, we used the QSM as indirect measures of iron in subcortical nuclei and myelin in caudo-frontal white matter pathways. We included two groups of participants; 21 children aged 6-7years and 25 adults aged 21-40years. All subjects also performed tests estimating their visuo-spatial working memory capacity. Adults had higher magnetic susceptibility in all subcortical nuclei, compared to children. The magnetic susceptibility of these nuclei highly correlated with their previously reported iron content. Moreover, working memory performance correlated significantly with the magnetic susceptibility in caudate nucleus in both children and adults, while the correlation was not significant for gray matter density. QSM of white matter in the caudo-frontal tract also differed between children and adults, but did not correlate with working memory scores. These results indicate that QSM is a feasible technique to measure developmental aspects of changes in the striatum, possibly related to iron content that is relevant to cognition.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain iron; Development; QSM; Striatum; White matter; Working memory

Mesh:

Substances:

Year:  2016        PMID: 27132546     DOI: 10.1016/j.neuroimage.2016.04.065

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


  11 in total

1.  Methods for the computation of templates from quantitative magnetic susceptibility maps (QSM): Toward improved atlas- and voxel-based analyses (VBA).

Authors:  Jannis Hanspach; Michael G Dwyer; Niels P Bergsland; Xiang Feng; Jesper Hagemeier; Nicola Bertolino; Paul Polak; Jürgen R Reichenbach; Robert Zivadinov; Ferdinand Schweser
Journal:  J Magn Reson Imaging       Date:  2017-03-06       Impact factor: 4.813

2.  Characterizing Brain Iron Deposition in Patients with Subcortical Vascular Mild Cognitive Impairment Using Quantitative Susceptibility Mapping: A Potential Biomarker.

Authors:  Yawen Sun; Xin Ge; Xu Han; Wenwei Cao; Yao Wang; Weina Ding; Mengqiu Cao; Yong Zhang; Qun Xu; Yan Zhou; Jianrong Xu
Journal:  Front Aging Neurosci       Date:  2017-03-30       Impact factor: 5.750

3.  Ironsmith: An automated pipeline for QSM-based data analyses.

Authors:  Valentinos Zachariou; Christopher E Bauer; David K Powell; Brian T Gold
Journal:  Neuroimage       Date:  2021-12-20       Impact factor: 6.556

4.  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

5.  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

6.  Developmental variation in regional brain iron and its relation to cognitive functions in childhood.

Authors:  Jasmine L Hect; Ana M Daugherty; Klodia M Hermez; Moriah E Thomason
Journal:  Dev Cogn Neurosci       Date:  2018-05-22       Impact factor: 6.464

7.  A robust multi-scale approach to quantitative susceptibility mapping.

Authors:  Julio Acosta-Cabronero; Carlos Milovic; Hendrik Mattern; Cristian Tejos; Oliver Speck; Martina F Callaghan
Journal:  Neuroimage       Date:  2018-07-31       Impact factor: 6.556

8.  Quantitative susceptibility mapping (QSM) evaluation of infantile neuroaxonal dystrophy.

Authors:  Takuya Fujiwara; Yoshiyuki Watanabe; Hisashi Tanaka; Hiroto Takahashi; Shin Nabatame; Wang Yi; Noriyuki Tomiyama
Journal:  BJR Case Rep       Date:  2019-02-21

9.  The impact of brain iron accumulation on cognition: A systematic review.

Authors:  Holly Spence; Chris J McNeil; Gordon D Waiter
Journal:  PLoS One       Date:  2020-10-15       Impact factor: 3.240

10.  R2* and quantitative susceptibility mapping in deep gray matter of 498 healthy controls from 5 to 90 years.

Authors:  Sarah Treit; Nashwan Naji; Peter Seres; Julia Rickard; Emily Stolz; Alan H Wilman; Christian Beaulieu
Journal:  Hum Brain Mapp       Date:  2021-06-29       Impact factor: 5.038

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