Literature DB >> 29325780

Longitudinal atlas for normative human brain development and aging over the lifespan using quantitative susceptibility mapping.

Yuyao Zhang1, Hongjiang Wei1, Matthew J Cronin1, Naying He2, Fuhua Yan2, Chunlei Liu3.   

Abstract

Longitudinal brain atlases play an important role in the study of human brain development and cognition. Existing atlases are mainly based on anatomical features derived from T1-and T2-weighted MRI. A 4D developmental quantitative susceptibility mapping (QSM) atlas may facilitate the estimation of age-related iron changes in deep gray matter nuclei and myelin changes in white matter. To this end, group-wise co-registered QSM templates were generated over various age intervals from age 1-83 years old. Registration was achieved by combining both T1-weighted and QSM images. Based on the proposed template, we created an accurate deep gray matter nuclei parcellation map (DGM map). Notably, we segmented thalamus into 5 sub-regions, i.e. the anterior nuclei, the median nuclei, the lateral nuclei, the pulvinar and the internal medullary lamina. Furthermore, we built a "whole brain QSM parcellation map" by combining existing cortical parcellation and white-matter atlases with the proposed DGM map. Based on the proposed QSM atlas, the segmentation accuracy of iron-rich nuclei using QSM is significantly improved, especially for children and adolescent subjects. The age-related progression of magnetic susceptibility in each of the deep gray matter nuclei, the hippocampus, and the amygdala was estimated. Our automated atlas-based analysis provided a systematic confirmation of previous findings on susceptibility progression with age resulting from manual ROI drawings in deep gray matter nuclei. The susceptibility development in the hippocampus and the amygdala follow an iron accumulation model; while in the thalamus sub-regions, the susceptibility development exhibits a variety of trends. It is envisioned that the newly developed 4D QSM atlas will serve as a template for studying brain iron deposition and myelination/demyelination in both normal aging and various brain diseases.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29325780      PMCID: PMC5857468          DOI: 10.1016/j.neuroimage.2018.01.008

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


  43 in total

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Authors:  Sam Wharton; Andreas Schäfer; Richard Bowtell
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5.  Whole brain susceptibility mapping using compressed sensing.

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Journal:  Magn Reson Med       Date:  2011-06-10       Impact factor: 4.668

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Journal:  Neuroimage       Date:  2011-01-09       Impact factor: 6.556

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9.  Differential developmental trajectories of magnetic susceptibility in human brain gray and white matter over the lifespan.

Authors:  Wei Li; Bing Wu; Anastasia Batrachenko; Vivian Bancroft-Wu; Rajendra A Morey; Vandana Shashi; Christian Langkammer; Michael D De Bellis; Stefan Ropele; Allen W Song; Chunlei Liu
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  31 in total

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6.  The protective role of cigarette smoking against Parkinson's disease via moderation of the interaction between iron deposition in the nigrostriatal pathway and clinical symptoms.

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7.  Quantitative susceptibility atlas construction in Montreal Neurological Institute space: towards histological-consistent iron-rich deep brain nucleus subregion identification.

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9.  Unraveling Deep Gray Matter Atrophy and Iron and Myelin Changes in Multiple Sclerosis.

Authors:  G Pontillo; M Petracca; S Monti; M Quarantelli; C Criscuolo; R Lanzillo; E Tedeschi; A Elefante; V Brescia Morra; A Brunetti; S Cocozza; G Palma
Journal:  AJNR Am J Neuroradiol       Date:  2021-04-22       Impact factor: 4.966

10.  Evaluation of the Swallow-Tail Sign and Correlations of Neuromelanin Signal with Susceptibility and Relaxations.

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