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      Sub‐voxel quantitative susceptibility mapping for assessing whole‐brain magnetic susceptibility from ages 4 to 80

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          Abstract

          The evolution of magnetic susceptibility of the brain is mainly determined by myelin in white matter (WM) and iron deposition in deep gray matter (DGM). However, existing imaging techniques have limited abilities to simultaneously quantify the myelination and iron deposition within a voxel throughout brain development and aging. For instance, the temporal trajectories of iron in the brain WM and myelination in DGM have not been investigated during the aging process. This study aimed to map the age‐related iron and myelin changes in the whole brain, encompassing myelin in DGM and iron deposition in WM, using a novel sub‐voxel quantitative susceptibility mapping (QSM) method. To achieve this, a cohort of 494 healthy adults (18–80 years old) was studied. The sub‐voxel QSM method was employed to obtain the paramagnetic and diamagnetic susceptibility based on the approximated R 2 map from acquired R 2 * map. The linear relationship between R 2 * and R 2 maps was established from the regression coefficients on a small cohort data acquired with both 3D gradient recalled echo data and R 2 mapping. Large cohort sub‐voxel susceptibility maps were used to create longitudinal and age‐specific atlases via group‐wise registration. To explore the differential developmental trajectories in the DGM and WM, we employed nonlinear models including exponential and Poisson functions, along with generalized additive models. The constructed atlases reveal the iron accumulation in the posterior part of the putamen and the gradual myelination process in the globus pallidus with aging. Interestingly, the developmental trajectories show that the rate of myelination differs among various DGM regions. Furthermore, the process of myelin synthesis is paralleled by an associated pattern of iron accumulation in the primary WM fiber bundles. In summary, our study offers significant insights into the distinctive developmental trajectories of iron in the brain's WM and myelination/demyelination in the DGM in vivo. These findings highlight the potential of using sub‐voxel QSM to uncover new perspectives in neuroscience and improve our understanding of whole‐brain myelination and iron deposit processes across the lifespan.

          Abstract

          Age‐specific and longitudinal atlases of sub‐voxel susceptibility were constructed on 494 healthy adults. The developmental trajectories of sub‐voxel susceptibility uncovered the spatial and temporal patterns of iron deposition and myelination/demyelination concurrently during brain aging, especially the evolution of myelin in deep gray matter and iron accumulation in white matter.

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          Most cited references44

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          SciPy 1.0: fundamental algorithms for scientific computing in Python

          SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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            The role of iron in brain ageing and neurodegenerative disorders.

            In the CNS, iron in several proteins is involved in many important processes such as oxygen transportation, oxidative phosphorylation, myelin production, and the synthesis and metabolism of neurotransmitters. Abnormal iron homoeostasis can induce cellular damage through hydroxyl radical production, which can cause the oxidation and modification of lipids, proteins, carbohydrates, and DNA. During ageing, different iron complexes accumulate in brain regions associated with motor and cognitive impairment. In various neurodegenerative diseases, such as Alzheimer's disease and Parkinson's disease, changes in iron homoeostasis result in altered cellular iron distribution and accumulation. MRI can often identify these changes, thus providing a potential diagnostic biomarker of neurodegenerative diseases. An important avenue to reduce iron accumulation is the use of iron chelators that are able to cross the blood-brain barrier, penetrate cells, and reduce excessive iron accumulation, thereby affording neuroprotection.
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              Automated anatomical labelling atlas 3

              Following a first version AAL of the automated anatomical labeling atlas (Tzourio-Mazoyer et al., 2002), a second version (AAL2) (Rolls et al., 2015) was developed that provided an alternative parcellation of the orbitofrontal cortex following the description provided by Chiavaras, Petrides, and colleagues. We now provide a third version, AAL3, which adds a number of brain areas not previously defined, but of interest in many neuroimaging investigations. The 26 new areas in the third version are subdivision of the anterior cingulate cortex into subgenual, pregenual and supracallosal parts; subdivision of the thalamus into 15 parts; the nucleus accumbens, substantia nigra, ventral tegmental area, red nucleus, locus coeruleus, and raphe nuclei. The new atlas is available as a toolbox for SPM, and can be used with MRIcron.
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                Author and article information

                Contributors
                hongjiang.wei@sjtu.edu.cn
                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                10.1002/(ISSN)1097-0193
                HBM
                Human Brain Mapping
                John Wiley & Sons, Inc. (Hoboken, USA )
                1065-9471
                1097-0193
                18 September 2023
                1 December 2023
                : 44
                : 17 ( doiID: 10.1002/hbm.v44.17 )
                : 5953-5971
                Affiliations
                [ 1 ] School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China
                [ 2 ] Department of Neurosurgery, Clinical Neuroscience Center Comprehensive Epilepsy Unit, Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai China
                [ 3 ] Department of Radiology, The Second Affiliated Hospital of Zhejiang University Zhejiang University School of Medicine Hangzhou China
                [ 4 ] School of Information and Science and Technology ShanghaiTech University Shanghai China
                Author notes
                [*] [* ] Correspondence

                Hongjiang Wei, School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Rd, MED‐X Research Institute, Shanghai 200030, China.

                Email: hongjiang.wei@ 123456sjtu.edu.cn

                Author information
                https://orcid.org/0000-0002-2214-2419
                https://orcid.org/0000-0002-0127-2812
                Article
                HBM26487
                10.1002/hbm.26487
                10619378
                37721369
                95a8a8a9-a063-481f-977e-47214b3af3ae
                © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 17 August 2023
                : 06 May 2023
                : 06 September 2023
                Page count
                Figures: 17, Tables: 2, Pages: 19, Words: 9375
                Funding
                Funded by: Fundamental Research Funds for the Central Universities , doi 10.13039/501100012226;
                Award ID: ZXWH1082101
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 61901256
                Award ID: 91949120
                Award ID: 62071299
                Funded by: Shanghai Science and Technology Development Funds
                Award ID: 21DZ1100300
                Funded by: SJTU Trans‐med Awards Research
                Award ID: STAR 20220103
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                1 December, 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.4 mode:remove_FC converted:01.11.2023

                Neurology
                atlas construction,brain development,iron quantification,myelin quantification,quantitative susceptibility mapping,susceptibility source separation

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