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Knoll C, Doehler J, Northall A, Schreiber S, Rotta J, Mattern H, Kuehn E. Age-related differences in human cortical microstructure depend on the distance to the nearest vein. Brain Commun 2024; 6:fcae321. [PMID: 39355004 PMCID: PMC11443451 DOI: 10.1093/braincomms/fcae321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 08/13/2024] [Accepted: 09/17/2024] [Indexed: 10/03/2024] Open
Abstract
Age-related differences in cortical microstructure are used to understand the neuronal mechanisms that underlie human brain ageing. The cerebral vasculature contributes to cortical ageing, but its precise interaction with cortical microstructure is poorly understood. In a cross-sectional study, we combine venous imaging with vessel distance mapping to investigate the interaction between venous distances and age-related differences in the microstructural architecture of the primary somatosensory cortex, the primary motor cortex and additional areas in the frontal cortex as non-sensorimotor control regions. We scanned 18 younger adults and 17 older adults using 7 Tesla MRI to measure age-related changes in longitudinal relaxation time (T1) and quantitative susceptibility mapping (QSM) values at 0.5 mm isotropic resolution. We modelled different cortical depths using an equi-volume approach and assessed the distance of each voxel to its nearest vein using vessel distance mapping. Our data reveal a dependence of cortical quantitative T1 values and positive QSM values on venous distance. In addition, there is an interaction between venous distance and age on quantitative T1 values, driven by lower quantitative T1 values in older compared to younger adults in voxels that are closer to a vein. Together, our data show that the local venous architecture explains a significant amount of variance in standard measures of cortical microstructure and should be considered in neurobiological models of human brain organisation and cortical ageing.
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Affiliation(s)
- Christoph Knoll
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto von Guericke University Magdeburg, Magdeburg 39120, Germany
- German Center for Neurodegenerative Diseases (DZNE) Magdeburg, Magdeburg 39120, Germany
| | - Juliane Doehler
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto von Guericke University Magdeburg, Magdeburg 39120, Germany
- German Center for Neurodegenerative Diseases (DZNE) Magdeburg, Magdeburg 39120, Germany
| | - Alicia Northall
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto von Guericke University Magdeburg, Magdeburg 39120, Germany
- German Center for Neurodegenerative Diseases (DZNE) Magdeburg, Magdeburg 39120, Germany
| | - Stefanie Schreiber
- German Center for Neurodegenerative Diseases (DZNE) Magdeburg, Magdeburg 39120, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto von Guericke University Magdeburg, Magdeburg 39106, Germany
- Department of Neurology, Otto von Guericke University of Magdeburg, Magdeburg 39120, Germany
| | - Johanna Rotta
- Department of Neurology, Otto von Guericke University of Magdeburg, Magdeburg 39120, Germany
- Department of Neurology, Katharinenhospital, Klinikum Stuttgart, Stuttgart 70174, Germany
| | - Hendrik Mattern
- German Center for Neurodegenerative Diseases (DZNE) Magdeburg, Magdeburg 39120, Germany
- Center for Behavioral Brain Sciences (CBBS), Otto von Guericke University Magdeburg, Magdeburg 39106, Germany
- Department Biomedical Magnetic Resonance (BMMR), Otto von Guericke University Magdeburg, Magdeburg 39120, Germany
| | - Esther Kuehn
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto von Guericke University Magdeburg, Magdeburg 39120, Germany
- Hertie Institute for Clinical Brain Research (HIH), Tübingen 72076, Germany
- German Center for Neurodegenerative Diseases (DZNE) Tübingen, Tübingen 72076, Germany
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Du L, Ye F, Gao W, Yang A, Luan J, Xu M, Lv K, Hu P, Liu B, Yu H, Wang Y, Huang W, Shu N, Ouyang G, Yin Q, Shmuel A, Wang Y, Zhang Q, Xu P, Ma G. Decreased brain iron deposition based on quantitative susceptibility mapping correlates with reduced neurodevelopmental status in children with autism spectrum disorder. Cereb Cortex 2024; 34:63-71. [PMID: 38696609 DOI: 10.1093/cercor/bhae081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/24/2024] [Accepted: 02/12/2024] [Indexed: 05/04/2024] Open
Abstract
To investigate potential correlations between the susceptibility values of certain brain regions and the severity of disease or neurodevelopmental status in children with autism spectrum disorder (ASD), 18 ASD children and 15 healthy controls (HCs) were recruited. The neurodevelopmental status was assessed by the Gesell Developmental Schedules (GDS) and the severity of the disease was evaluated by the Autism Behavior Checklist (ABC). Eleven brain regions were selected as regions of interest and the susceptibility values were measured by quantitative susceptibility mapping. To evaluate the diagnostic capacity of susceptibility values in distinguishing ASD and HC, the receiver operating characteristic (ROC) curve was computed. Pearson and Spearman partial correlation analysis were used to depict the correlations between the susceptibility values, the ABC scores, and the GDS scores in the ASD group. ROC curves showed that the susceptibility values of the left and right frontal white matter had a larger area under the curve in the ASD group. The susceptibility value of the right globus pallidus was positively correlated with the GDS-fine motor scale score. These findings indicated that the susceptibility value of the right globus pallidus might be a viable imaging biomarker for evaluating the neurodevelopmental status of ASD children.
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Affiliation(s)
- Lei Du
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
- Department of Radiology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian, Beijing 100142, China
| | - Fang Ye
- Department of Pediatrics, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Wenwen Gao
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
- Department of Radiology, the Sixth Medical Center of People's Liberation Army (PLA) General Hospital, No. 6 Fucheng Road, Haidian, Beijing 100048, China
| | - Aocai Yang
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Jixin Luan
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Manxi Xu
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Kuan Lv
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Pianpian Hu
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Bing Liu
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Hongwei Yu
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Yuli Wang
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Weijie Huang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Road, Haidian, Beijing 100875, China
| | - Ni Shu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Road, Haidian, Beijing 100875, China
| | - Gaoxiang Ouyang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No. 19 Xinjiekouwai Road, Haidian, Beijing 100875, China
| | - Qian Yin
- School of Artificial Intelligence, Beijing Normal University, No. 19 Xinjiekouwai Road, Haidian, Beijing 100875, China
| | - Amir Shmuel
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 45 Sherbrooke St W, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, Physiology, and Biomedical Engineering, McGill University, 45 Sherbrooke St W, Montreal, QC, Canada
| | - Yunfeng Wang
- Department of Pediatrics, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Qi Zhang
- Department of Pediatrics, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Pengfei Xu
- Department of Pediatrics, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
| | - Guolin Ma
- Department of Radiology, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang, Beijing 100029, China
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Chen Y, Ge M, Kang JJ, Ding YC, Chen YC, Jia ZZ. Comparison between Dual-Energy CT and Quantitative Susceptibility Mapping in Assessing Brain Iron Deposition in Parkinson Disease. AJNR Am J Neuroradiol 2023; 44:410-416. [PMID: 36958800 PMCID: PMC10084894 DOI: 10.3174/ajnr.a7822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 02/20/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND AND PURPOSE Both dual-energy CT and quantitative susceptibility mapping can evaluate iron depositions in the brain. The purpose of this study was to compare these 2 techniques in evaluating brain iron depositions in Parkinson disease. MATERIALS AND METHODS Forty-one patients with Parkinson disease (Parkinson disease group) and 31 age- and sex-matched healthy controls (healthy control group) were included. All participants underwent brain dual-energy CT and quantitative susceptibility mapping. ROIs were set bilaterally in the globus pallidus, substantia nigra, red nucleus, caudate nucleus, and putamen. CT values and magnetic susceptibility values were obtained in each ROI. Differences in CT values and magnetic susceptibility values between the Parkinson disease and healthy control groups were compared, followed by analysis of receiver operating characteristic curves. Correlations between CT values and magnetic susceptibility values were then evaluated. RESULTS The CT values of the bilateral globus pallidus, substantia nigra, and red nucleus were higher in the Parkinson disease group (P < .05). The magnetic susceptibility values of the bilateral globus pallidus and substantia nigra were higher in the Parkinson disease group (P < .05). The CT value of the right globus pallidus in linear fusion images had the highest diagnostic performance (0.912). Magnetic susceptibility values of the bilateral globus pallidus in the Parkinson disease group were positively correlated with CT values at the level of 80 kV(peak), linear fusion images, and SN150 kV(p) (r = 0.466∼0.617; all, P < .05). CONCLUSIONS Both dual-energy CT and quantitative susceptibility mapping could assess excessive brain iron depositions in Parkinson disease, and we found a positive correlation between CT values and magnetic susceptibility values in the bilateral globus pallidus.
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Affiliation(s)
- Y Chen
- From the Department of Medical Imaging, Affiliated Hospital of Nantong University, Nantong, China
| | - M Ge
- From the Department of Medical Imaging, Affiliated Hospital of Nantong University, Nantong, China
| | - J J Kang
- From the Department of Medical Imaging, Affiliated Hospital of Nantong University, Nantong, China
| | - Y C Ding
- From the Department of Medical Imaging, Affiliated Hospital of Nantong University, Nantong, China
| | - Y C Chen
- From the Department of Medical Imaging, Affiliated Hospital of Nantong University, Nantong, China
| | - Z Z Jia
- From the Department of Medical Imaging, Affiliated Hospital of Nantong University, Nantong, China
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Kim H, Jang J, Kang J, Jang S, Nam Y, Choi Y, Shin NY, Ahn KJ, Kim BS. Clinical Implications of Focal Mineral Deposition in the Globus Pallidus on CT and Quantitative Susceptibility Mapping of MRI. Korean J Radiol 2022; 23:742-751. [PMID: 35695315 PMCID: PMC9240299 DOI: 10.3348/kjr.2022.0003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/02/2022] [Accepted: 03/23/2022] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To assess focal mineral deposition in the globus pallidus (GP) by CT and quantitative susceptibility mapping (QSM) of MRI scans and evaluate its clinical significance, particularly cerebrovascular degeneration. MATERIALS AND METHODS This study included 105 patients (66.1 ± 13.7 years; 40 male and 65 female) who underwent both CT and MRI with available QSM data between January 2017 and December 2019. The presence of focal mineral deposition in the GP on QSM (GPQSM) and CT (GPCT) was assessed visually using a three-point scale. Cerebrovascular risk factors and small vessel disease (SVD) imaging markers were also assessed. The clinical and radiological findings were compared between the different grades of GPQSM and GPCT. The relationship between GP grades and cerebrovascular risk factors and SVD imaging markers was assessed using univariable and multivariable linear regression analyses. RESULTS GPCT and GPQSM were significantly associated (p < 0.001) but were not identical. Higher GPCT and GPQSM grades showed smaller gray matter (p = 0.030 and p = 0.025, respectively) and white matter (p = 0.013 and p = 0.019, respectively) volumes, as well as larger GP volumes (p < 0.001 for both). Among SVD markers, white matter hyperintensity was significantly associated with GPCT (p = 0.006) and brain atrophy was significantly associated with GPQSM (p = 0.032) in at univariable analysis. In multivariable analysis, the normalized volume of the GP was independently positively associated with GPCT (p < 0.001) and GPQSM (p = 0.002), while the normalized volume of the GM was independently negatively associated with GPCT (p = 0.040) and GPQSM (p = 0.035). CONCLUSION Focal mineral deposition in the GP on CT and QSM might be a potential imaging marker of cerebral vascular degeneration. Both were associated with increased GP volume.
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Affiliation(s)
- Hyojin Kim
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jinhee Jang
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
| | - Junghwa Kang
- Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Korea
| | - Seungun Jang
- Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Korea
| | - Yoonho Nam
- Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Korea
| | - Yangsean Choi
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Na-Young Shin
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kook-Jin Ahn
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Bum-Soo Kim
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Jang J, Kang J, Nam Y. [Brain Iron Imaging in Aging and Cognitive Disorders: MRI Approaches]. TAEHAN YONGSANG UIHAKHOE CHI 2022; 83:527-537. [PMID: 36238502 PMCID: PMC9514519 DOI: 10.3348/jksr.2022.0038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/09/2022] [Accepted: 05/16/2022] [Indexed: 11/23/2022]
Abstract
Iron has a vital role in the human body, including the central nervous system. Increased deposition of iron in the brain has been reported in aging and important neurodegenerative diseases. Owing to the unique magnetic resonance properties of iron, MRI has great potential for in vivo assessment of iron deposition, distribution, and non-invasive quantification. In this paper, we will review the MRI methods for iron assessment and their changes in aging and neurodegenerative diseases, focusing on Alzheimer's disease. In addition, we will summarize the limitations of current approaches and introduce new areas and MRI methods for iron imaging that are expected in the future.
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