{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T10:56:18Z","timestamp":1785840978391,"version":"3.56.0"},"reference-count":100,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,5,17]],"date-time":"2024-05-17T00:00:00Z","timestamp":1715904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,17]],"date-time":"2024-05-17T00:00:00Z","timestamp":1715904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Imaging and Behavior"],"DOI":"10.1007\/s11682-024-00895-6","type":"journal-article","created":{"date-parts":[[2024,5,17]],"date-time":"2024-05-17T14:03:01Z","timestamp":1715954581000},"page":"1239-1255","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Putamen iron quantification in diseases with neurodegeneration: a meta-analysis of the quantitative susceptibility mapping technique"],"prefix":"10.1007","volume":"18","author":[{"given":"Sana","family":"Mohammadi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sadegh","family":"Ghaderi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6774-7825","authenticated-orcid":false,"given":"Farzad","family":"Fatehi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,17]]},"reference":[{"key":"895_CR1","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1523\/JNEUROSCI.1907-15.2016","volume":"36","author":"J Acosta-Cabronero","year":"2016","unstructured":"Acosta-Cabronero, J., Betts, M. J., Cardenas-Blanco, A., Yang, S., & Nestor, P. J. (2016). In vivo MRI mapping of brain Iron deposition across the adult lifespan. The Journal of Neuroscience, 36, 364\u2013374.","journal-title":"The Journal of Neuroscience"},{"key":"895_CR2","doi-asserted-by":"publisher","first-page":"103519","DOI":"10.1016\/j.nicl.2023.103519","volume":"40","author":"E Alushaj","year":"2023","unstructured":"Alushaj, E., et al. (2023). Subregional analysis of striatum iron in Parkinson\u2019s disease and rapid eye movement sleep behaviour disorder. NeuroImage: Clinical, 40, 103519.","journal-title":"NeuroImage: Clinical"},{"key":"895_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41531-023-00496-y","volume":"9","author":"P Alvarez Jerez","year":"2023","unstructured":"Alvarez Jerez, P., et al. (2023). Exploring the genetic and genomic connection underlying neurodegeneration with brain iron accumulation and the risk for Parkinson\u2019s disease. npj Parkinson's Disease, 9, 1\u20139.","journal-title":"npj Parkinson's Disease"},{"key":"895_CR4","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1002\/mds.26902","volume":"32","author":"J Ariza","year":"2017","unstructured":"Ariza, J., et al. (2017). Iron accumulation and dysregulation in the putamen in fragile X associated tremor\/ataxia syndrome. Movement Disorders, 32, 585\u2013591.","journal-title":"Movement Disorders"},{"key":"895_CR5","doi-asserted-by":"publisher","first-page":"2112","DOI":"10.1093\/brain\/awx137","volume":"140","author":"S Ayton","year":"2017","unstructured":"Ayton, S., et al. (2017). Cerebral quantitative susceptibility mapping predicts amyloid-\u03b2-related cognitive decline. Brain, 140, 2112\u20132119.","journal-title":"Brain"},{"key":"895_CR6","doi-asserted-by":"publisher","first-page":"782","DOI":"10.3174\/ajnr.A4645","volume":"37","author":"M Azuma","year":"2016","unstructured":"Azuma, M., et al. (2016). Lateral asymmetry and spatial difference of Iron deposition in the Substantia Nigra of patients with Parkinson disease measured with quantitative susceptibility mapping. AJNR American Journal of Neuroradiology, 37, 782\u2013788.","journal-title":"AJNR American Journal of Neuroradiology"},{"key":"895_CR7","doi-asserted-by":"publisher","first-page":"116443","DOI":"10.1016\/j.jns.2019.116443","volume":"406","author":"M Azuma","year":"2019","unstructured":"Azuma, M., et al. (2019). Combining quantitative susceptibility mapping to the morphometric index in differentiating between progressive supranuclear palsy and Parkinson\u2019s disease. Journal of the Neurological Sciences, 406, 116443.","journal-title":"Journal of the Neurological Sciences"},{"key":"895_CR8","doi-asserted-by":"crossref","unstructured":"Ball, N., Teo, W. P., Chandra, S., & Chapman, J. (2019). Parkinson's disease and the environment. Frontiers in neurology, 10, 421551.","DOI":"10.3389\/fneur.2019.00218"},{"key":"895_CR9","doi-asserted-by":"publisher","first-page":"1375","DOI":"10.1038\/npp.2011.22","volume":"36","author":"G Bartzokis","year":"2011","unstructured":"Bartzokis, G., et al. (2011). Gender and Iron genes may modify associations between brain Iron and memory in healthy aging. Neuropsychopharmacology, 36, 1375\u20131384.","journal-title":"Neuropsychopharmacology"},{"key":"895_CR10","doi-asserted-by":"publisher","first-page":"1079","DOI":"10.3174\/ajnr.A5166","volume":"38","author":"A Burgetova","year":"2017","unstructured":"Burgetova, A., et al. (2017). Thalamic Iron differentiates primary-progressive and relapsing-remitting multiple sclerosis. AJNR American Journal of Neuroradiology, 38, 1079\u20131086.","journal-title":"AJNR American Journal of Neuroradiology"},{"key":"895_CR11","doi-asserted-by":"publisher","first-page":"260","DOI":"10.3324\/haematol.2019.232124","volume":"105","author":"C Camaschella","year":"2020","unstructured":"Camaschella, C., Nai, A., & Silvestri, L. (2020). Iron metabolism and iron disorders revisited in the hepcidin era. Haematologica, 105, 260\u2013272.","journal-title":"Haematologica"},{"key":"895_CR12","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1186\/s12868-019-0505-9","volume":"20","author":"Q Chen","year":"2019","unstructured":"Chen, Q., et al. (2019). Iron deposition in Parkinson\u2019s disease by quantitative susceptibility mapping. BMC Neuroscience, 20, 23.","journal-title":"BMC Neuroscience"},{"key":"895_CR13","doi-asserted-by":"publisher","first-page":"410","DOI":"10.3174\/ajnr.A7822","volume":"44","author":"Y Chen","year":"2023","unstructured":"Chen, Y., et al. (2023). Comparison between dual-energy CT and quantitative susceptibility mapping in assessing brain Iron deposition in Parkinson disease. AJNR American Journal of Neuroradiology, 44, 410\u2013416.","journal-title":"AJNR American Journal of Neuroradiology"},{"key":"895_CR14","first-page":"3778","volume":"19","author":"Q Cheng","year":"2020","unstructured":"Cheng, Q., et al. (2020). Evaluation of abnormal iron distribution in specific regions in the brains of patients with Parkinson\u2019s disease using quantitative susceptibility mapping and R2* mapping. Experimental and Therapeutic Medicine, 19, 3778\u20133786.","journal-title":"Experimental and Therapeutic Medicine"},{"key":"895_CR15","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.neuro.2021.11.003","volume":"88","author":"R Cheng","year":"2022","unstructured":"Cheng, R., Dhorajia, V., Kim, J., & Kim, Y. (2022). Mitochondrial iron metabolism and neurodegenerative diseases. Neurotoxicology, 88, 88\u2013101.","journal-title":"Neurotoxicology"},{"key":"895_CR16","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1002\/jmri.24951","volume":"42","author":"D Cobzas","year":"2015","unstructured":"Cobzas, D., et al. (2015). Subcortical gray matter segmentation and voxel-based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis. Journal of Magnetic Resonance Imaging, 42, 1601\u20131610.","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"895_CR17","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.mri.2022.05.009","volume":"91","author":"CH Coffman","year":"2022","unstructured":"Coffman, C. H., et al. (2022). Quantitative susceptibility mapping of both ring and non-ring white matter lesions in relapsing remitting multiple sclerosis. Magnetic Resonance Imaging, 91, 45\u201351.","journal-title":"Magnetic Resonance Imaging"},{"key":"895_CR18","doi-asserted-by":"publisher","DOI":"10.4324\/9780203771587","volume-title":"Statistical power analysis for the behavioral sciences","author":"J Cohen","year":"1988","unstructured":"Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Routledge. https:\/\/doi.org\/10.4324\/9780203771587"},{"key":"895_CR19","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1002\/mrm.30006","volume":"91","author":"QCO Committee","year":"2024","unstructured":"Committee, Q. C. O., et al. (2024). Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro-magnetic tissue properties study group. Magnetic Resonance in Medicine, 91, 1834\u20131862.","journal-title":"Magnetic Resonance in Medicine"},{"key":"895_CR20","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neuroimage.2015.12.045","volume":"128","author":"AM Daugherty","year":"2016","unstructured":"Daugherty, A. M., & Raz, N. (2016). Accumulation of Iron in the putamen predicts its shrinkage in healthy older adults: A multi-occasion longitudinal study. Neuroimage, 128, 11\u201320.","journal-title":"Neuroimage"},{"key":"895_CR21","doi-asserted-by":"publisher","first-page":"1849","DOI":"10.1021\/acschemneuro.8b00194","volume":"9","author":"L Du","year":"2018","unstructured":"Du, L., et al. (2018). Increased Iron deposition on brain quantitative susceptibility mapping correlates with decreased cognitive function in Alzheimer\u2019s disease. ACS Chemical Neuroscience, 9, 1849\u20131857.","journal-title":"ACS Chemical Neuroscience"},{"key":"895_CR22","first-page":"195","volume-title":"International Review of Neurobiology","author":"P Dusek","year":"2013","unstructured":"Dusek, P., Dezortova, M., & Wuerfel, J. (2013). Chapter Nine - Imaging of Iron. In K. P. Bhatia & S. A. Schneider (Eds.), International Review of Neurobiology (Vol. 110, pp. 195\u2013239). Academic Press."},{"key":"895_CR23","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1136\/bmj.315.7109.629","volume":"315","author":"M Egger","year":"1997","unstructured":"Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315, 629\u2013634.","journal-title":"BMJ"},{"key":"895_CR24","doi-asserted-by":"publisher","first-page":"1464","DOI":"10.1002\/jmri.25682","volume":"46","author":"AM Elkady","year":"2017","unstructured":"Elkady, A. M., Cobzas, D., Sun, H., Blevins, G., & Wilman, A. H. (2017). Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter. Journal of Magnetic Resonance Imaging, 46, 1464\u20131473.","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"895_CR25","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.msard.2019.05.028","volume":"33","author":"AM Elkady","year":"2019","unstructured":"Elkady, A. M., et al. (2019). Five year iron changes in relapsing-remitting multiple sclerosis deep gray matter compared to healthy controls. Multiple Sclerosis and Related Disorders, 33, 107\u2013115.","journal-title":"Multiple Sclerosis and Related Disorders"},{"key":"895_CR26","doi-asserted-by":"publisher","first-page":"10018","DOI":"10.3390\/ijms231710018","volume":"23","author":"E Ficiar\u00e0","year":"2022","unstructured":"Ficiar\u00e0, E., Stura, I., & Guiot, C. (2022). Iron deposition in brain: Does aging matter? International Journal of Molecular Sciences, 23, 10018.","journal-title":"International Journal of Molecular Sciences"},{"key":"895_CR27","doi-asserted-by":"publisher","first-page":"16239","DOI":"10.1038\/s41598-023-42914-4","volume":"13","author":"C Fiscone","year":"2023","unstructured":"Fiscone, C., et al. (2023). Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis. Scientific Reports, 13, 16239.","journal-title":"Scientific Reports"},{"key":"895_CR28","doi-asserted-by":"publisher","first-page":"112","DOI":"10.3945\/an.110.000190","volume":"2","author":"SJB Fretham","year":"2011","unstructured":"Fretham, S. J. B., Carlson, E. S., & Georgieff, M. K. (2011). The role of Iron in learning and Memory12. Advances in Nutrition, 2, 112\u2013121.","journal-title":"Advances in Nutrition"},{"key":"895_CR29","doi-asserted-by":"publisher","first-page":"631210","DOI":"10.3389\/fneur.2021.631210","volume":"12","author":"X Fu","year":"2021","unstructured":"Fu, X., et al. (2021). Time-specific pattern of Iron deposition in different regions in Parkinson\u2019s disease measured by quantitative susceptibility mapping. Frontiers in Neurology, 12, 631210.","journal-title":"Frontiers in Neurology"},{"key":"895_CR30","doi-asserted-by":"crossref","unstructured":"Ghaderi, S., Batouli, S. A., Mohammadi, S., & Fatehi, F. (2023). Iron quantification in basal ganglia using quantitative susceptibility mapping in a patient with ALS: a case report and literature review. Frontiers in Neuroscience, 17, 1229082.","DOI":"10.3389\/fnins.2023.1229082"},{"key":"895_CR31","doi-asserted-by":"crossref","unstructured":"Ghaderi, S., Mohammadi, S., Nezhad, N. J., Karami, S., & Sayehmiri, F. (2024). Iron quantification in basal ganglia: quantitative susceptibility mapping as a potential biomarker for Alzheimer\u2019s disease\u2013a systematic review and meta-analysis. Frontiers in Neuroscience, 18, 1338891.","DOI":"10.3389\/fnins.2024.1338891"},{"key":"895_CR32","doi-asserted-by":"publisher","first-page":"255","DOI":"10.3389\/fimmu.2018.00255","volume":"9","author":"KM Gillen","year":"2018","unstructured":"Gillen, K. M., Mubarak, M., Nguyen, T. D., & Pitt, D. (2018). Significance and in vivo detection of Iron-laden microglia in white matter multiple sclerosis lesions. Frontiers in Immunology, 9, 255.","journal-title":"Frontiers in Immunology"},{"key":"895_CR33","doi-asserted-by":"crossref","unstructured":"G\u00f3mez-Benito, M., Granado, N., Garc\u00eda-Sanz, P., Michel, A., Dumoulin, M., & Moratalla, R. (2020). Modeling parkinson\u2019s disease with the alpha-synuclein protein. Frontiers in pharmacology, 11, 524328.","DOI":"10.3389\/fphar.2020.00356"},{"key":"895_CR34","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.neuroimage.2019.02.019","volume":"191","author":"N-J Gong","year":"2019","unstructured":"Gong, N.-J., Dibb, R., Bulk, M., van der Weerd, L., & Liu, C. (2019). Imaging beta amyloid aggregation and iron accumulation in Alzheimer\u2019s disease using quantitative susceptibility mapping MRI. Neuroimage, 191, 176\u2013185.","journal-title":"Neuroimage"},{"key":"895_CR35","doi-asserted-by":"publisher","first-page":"2601","DOI":"10.3390\/nu12092601","volume":"12","author":"T Grubi\u0107 Kezele","year":"2020","unstructured":"Grubi\u0107 Kezele, T., & \u0106urko-Cofek, B. (2020). Age-related changes and sex-related differences in brain Iron metabolism. Nutrients, 12, 2601.","journal-title":"Nutrients"},{"key":"895_CR36","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1002\/jmri.27680","volume":"54","author":"X Guan","year":"2021","unstructured":"Guan, X., et al. (2021). Serum Ceruloplasmin depletion is associated with magnetic resonance evidence of widespread accumulation of brain Iron in Parkinson\u2019s disease. Journal of Magnetic Resonance Imaging, 54, 1098\u20131106.","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"895_CR37","doi-asserted-by":"publisher","first-page":"119683","DOI":"10.1016\/j.neuroimage.2022.119683","volume":"264","author":"X Guan","year":"2022","unstructured":"Guan, X., et al. (2022). Altered brain iron depositions from aging to Parkinson\u2019s disease and Alzheimer\u2019s disease: A quantitative susceptibility mapping study. NeuroImage, 264, 119683.","journal-title":"NeuroImage"},{"key":"895_CR38","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1016\/j.nicl.2017.04.008","volume":"18","author":"J Hagemeier","year":"2018","unstructured":"Hagemeier, J., et al. (2018a). Changes of deep gray matter magnetic susceptibility over 2 years in multiple sclerosis and healthy control brain. Neuroimage Clin, 18, 1007\u20131016.","journal-title":"Neuroimage Clin"},{"key":"895_CR39","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1016\/j.nicl.2017.11.003","volume":"17","author":"J Hagemeier","year":"2018","unstructured":"Hagemeier, J., et al. (2018b). Iron-related gene variants and brain iron in multiple sclerosis and healthy individuals. NeuroImage: Clinical, 17, 530\u2013540.","journal-title":"NeuroImage: Clinical"},{"key":"895_CR40","doi-asserted-by":"publisher","first-page":"1386","DOI":"10.1136\/jnnp-2014-307712","volume":"85","author":"L Haider","year":"2014","unstructured":"Haider, L., et al. (2014). Multiple sclerosis deep grey matter: The relation between demyelination, neurodegeneration, inflammation and iron. Journal of Neurology, Neurosurgery, and Psychiatry, 85, 1386\u20131395.","journal-title":"Journal of Neurology, Neurosurgery, and Psychiatry"},{"key":"895_CR41","doi-asserted-by":"publisher","first-page":"4407","DOI":"10.1002\/hbm.22928","volume":"36","author":"N He","year":"2015","unstructured":"He, N., et al. (2015). Region-specific disturbed iron distribution in early idiopathic Parkinson\u2019s disease measured by quantitative susceptibility mapping. Human Brain Mapping, 36, 4407\u20134420.","journal-title":"Human Brain Mapping"},{"key":"895_CR42","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1186\/1471-2458-13-154","volume":"13","author":"R Herzog","year":"2013","unstructured":"Herzog, R., et al. (2013). Are healthcare workers\u2019 intentions to vaccinate related to their knowledge, beliefs and attitudes? A systematic review. BMC Public Health, 13, 154.","journal-title":"BMC Public Health"},{"key":"895_CR43","doi-asserted-by":"publisher","first-page":"1539","DOI":"10.1002\/sim.1186","volume":"21","author":"JPT Higgins","year":"2002","unstructured":"Higgins, J. P. T., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21, 1539\u20131558.","journal-title":"Statistics in Medicine"},{"key":"895_CR44","doi-asserted-by":"publisher","first-page":"1168845","DOI":"10.3389\/fnagi.2023.1168845","volume":"15","author":"C Huang","year":"2023","unstructured":"Huang, C., et al. (2023). Investigation of brain iron levels in Chinese patients with Alzheimer\u2019s disease. Frontiers in Aging Neuroscience, 15, 1168845.","journal-title":"Frontiers in Aging Neuroscience"},{"key":"895_CR45","doi-asserted-by":"publisher","first-page":"e0181349","DOI":"10.1371\/journal.pone.0181349","volume":"12","author":"Y Itoh","year":"2017","unstructured":"Itoh, Y., & Voskuhl, R. R. (2017). Cell specificity dictates similarities in gene expression in multiple sclerosis, Parkinson\u2019s disease, and Alzheimer\u2019s disease. PLoS One, 12, e0181349.","journal-title":"PLoS One"},{"key":"895_CR46","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1093\/cercor\/bhy276","volume":"29","author":"SAW Jackson","year":"2019","unstructured":"Jackson, S. A. W., et al. (2019). Selective role of the putamen in serial reversal learning in the marmoset. Cerebral Cortex, 29, 447\u2013460.","journal-title":"Cerebral Cortex"},{"key":"895_CR47","doi-asserted-by":"publisher","first-page":"e0280655","DOI":"10.1371\/journal.pone.0280655","volume":"18","author":"E Kazemivalipour","year":"2023","unstructured":"Kazemivalipour, E., et al. (2023). Effect of field strength on RF power deposition near conductive leads: A simulation study of SAR in DBS lead models during MRI at 1.5 T\u201410.5 T. PLoS One, 18, e0280655.","journal-title":"PLoS One"},{"key":"895_CR48","doi-asserted-by":"publisher","first-page":"1101","DOI":"10.1016\/j.jnutbio.2014.07.003","volume":"25","author":"J Kim","year":"2014","unstructured":"Kim, J., & Wessling-Resnick, M. (2014). Iron and mechanisms of emotional behavior. The Journal of Nutritional Biochemistry, 25, 1101\u20131107.","journal-title":"The Journal of Nutritional Biochemistry"},{"key":"895_CR49","doi-asserted-by":"publisher","unstructured":"Krishnan, S., et al. (2023). Quantitative susceptibility mapping from basal ganglia and related structures: Correlation with disease severity in progressive supranuclear palsy. Acta Neurologica Belgica, 151\u2013160. https:\/\/doi.org\/10.1007\/s13760-023-02352-5","DOI":"10.1007\/s13760-023-02352-5"},{"key":"895_CR50","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1148\/radiol.12120707","volume":"267","author":"C Langkammer","year":"2013","unstructured":"Langkammer, C., et al. (2013). Quantitative susceptibility mapping in multiple sclerosis. Radiology, 267, 551\u2013559.","journal-title":"Radiology"},{"key":"895_CR51","doi-asserted-by":"publisher","unstructured":"Levi, S., Ripamonti, M., Moro, A. S., & Cozzi, A. (2024). Iron imbalance in neurodegeneration. Molecular Psychiatry, 1\u201314. https:\/\/doi.org\/10.1038\/s41380-023-02399-z","DOI":"10.1038\/s41380-023-02399-z"},{"key":"895_CR52","doi-asserted-by":"publisher","first-page":"439","DOI":"10.3233\/JAD-200843","volume":"78","author":"D Li","year":"2020","unstructured":"Li, D., et al. (2020). Quantitative study of the changes in cerebral blood flow and Iron deposition during progression of Alzheimer\u2019s disease. Journal of Alzheimer's Disease, 78, 439\u2013452.","journal-title":"Journal of Alzheimer's Disease"},{"key":"895_CR53","doi-asserted-by":"publisher","first-page":"120148","DOI":"10.1016\/j.neuroimage.2023.120148","volume":"274","author":"Z Li","year":"2023","unstructured":"Li, Z., et al. (2023). APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an iterative data fitting method. NeuroImage, 274, 120148.","journal-title":"NeuroImage"},{"key":"895_CR54","doi-asserted-by":"publisher","first-page":"616163","DOI":"10.3389\/fnins.2021.616163","volume":"15","author":"X Liu","year":"2021","unstructured":"Liu, X., et al. (2021). Alterations and associations between magnetic susceptibility of the basal ganglia and diffusion properties in Alzheimer\u2019s disease. Frontiers in Neuroscience, 15, 616163.","journal-title":"Frontiers in Neuroscience"},{"key":"895_CR55","doi-asserted-by":"publisher","first-page":"e298","DOI":"10.1002\/mco2.298","volume":"4","author":"H Long","year":"2023","unstructured":"Long, H., Zhu, W., Wei, L., & Zhao, J. (2023). Iron homeostasis imbalance and ferroptosis in brain diseases. MedComm, 4, e298.","journal-title":"MedComm"},{"key":"895_CR56","doi-asserted-by":"publisher","first-page":"1422","DOI":"10.1007\/s00330-023-10114-3","volume":"34","author":"D Luo","year":"2023","unstructured":"Luo, D., et al. (2023). U-fiber diffusion kurtosis and susceptibility characteristics in relapsing-remitting multiple sclerosis may be related to cognitive deficits and neurodegeneration. European Radiology, 34, 1422\u20131433. https:\/\/doi.org\/10.1007\/s00330-023-10114-3","journal-title":"European Radiology"},{"key":"895_CR57","doi-asserted-by":"publisher","first-page":"120401","DOI":"10.1016\/j.neuroimage.2023.120401","volume":"282","author":"DJ Madden","year":"2023","unstructured":"Madden, D. J., & Merenstein, J. L. (2023). Quantitative susceptibility mapping of brain iron in healthy aging and cognition. NeuroImage, 282, 120401.","journal-title":"NeuroImage"},{"key":"895_CR58","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1186\/s13005-023-00371-4","volume":"19","author":"H Meng","year":"2023","unstructured":"Meng, H., Zhang, D., & Sun, Q. (2023). The applied value in brain gray matter nuclei of patients with early-stage Parkinson\u2019s disease\u00a0: A study based on multiple magnetic resonance imaging techniques. Head & Face Medicine, 19, 25.","journal-title":"Head & Face Medicine"},{"key":"895_CR59","doi-asserted-by":"publisher","first-page":"e1583","DOI":"10.1002\/wsbm.1583","volume":"15","author":"GM Mey","year":"2023","unstructured":"Mey, G. M., Mahajan, K. R., & DeSilva, T. M. (2023). Neurodegeneration in multiple sclerosis. WIREs Mechanisms of Disease, 15, e1583.","journal-title":"WIREs Mechanisms of Disease"},{"key":"895_CR60","doi-asserted-by":"publisher","first-page":"e6677967","DOI":"10.1155\/2023\/6677967","volume":"2023","author":"S Mohammadi","year":"2023","unstructured":"Mohammadi, S., & Ghaderi, S. (2023). Motor band sign in motor neuron diseases using magnetic resonance imaging: A systematic review. Acta Neurologica Scandinavica, 2023, e6677967.","journal-title":"Acta Neurologica Scandinavica"},{"key":"895_CR61","doi-asserted-by":"crossref","unstructured":"Mohammadi, S., & Ghaderi, S. (2024). Parkinson's disease and Parkinsonism syndromes: Evaluating iron deposition in the putamen using magnetic susceptibility MRI techniques- A systematic review and literature analysis. Heliyon, 10.\u00a0","DOI":"10.1016\/j.heliyon.2024.e27950"},{"key":"895_CR62","doi-asserted-by":"publisher","first-page":"737","DOI":"10.3233\/JAD-151037","volume":"51","author":"Y Moon","year":"2016","unstructured":"Moon, Y., Han, S.-H., & Moon, W.-J. (2016). Patterns of brain Iron accumulation in vascular dementia and Alzheimer\u2019s dementia using quantitative susceptibility mapping imaging. Journal of Alzheimer's Disease, 51, 737\u2013745.","journal-title":"Journal of Alzheimer's Disease"},{"key":"895_CR63","doi-asserted-by":"publisher","first-page":"1102","DOI":"10.3174\/ajnr.A4260","volume":"36","author":"Y Murakami","year":"2015","unstructured":"Murakami, Y., et al. (2015). Usefulness of quantitative susceptibility mapping for the diagnosis of Parkinson disease. AJNR. American Journal of Neuroradiology, 36, 1102\u20131108.","journal-title":"AJNR. American Journal of Neuroradiology"},{"key":"895_CR64","doi-asserted-by":"publisher","first-page":"180","DOI":"10.3389\/fnins.2019.00180","volume":"13","author":"A Ndayisaba","year":"2019","unstructured":"Ndayisaba, A., Kaindlstorfer, C., & Wenning, G. K. (2019). Iron in Neurodegeneration \u2013 Cause or consequence? Frontiers in Neuroscience, 13, 180.","journal-title":"Frontiers in Neuroscience"},{"key":"895_CR65","doi-asserted-by":"publisher","first-page":"a028993","DOI":"10.1101\/cshperspect.a028993","volume":"8","author":"E O\u2019Loughlin","year":"2018","unstructured":"O\u2019Loughlin, E., Madore, C., Lassmann, H., & Butovsky, O. (2018). Microglial phenotypes and functions in multiple sclerosis. Cold Spring Harbor Perspectives in Medicine, 8, a028993.","journal-title":"Cold Spring Harbor Perspectives in Medicine"},{"key":"895_CR66","unstructured":"Ottawa Hospital Research Institute. (n.d.) https:\/\/www.ohri.ca\/programs\/clinical_epidemiology\/oxford.asp."},{"key":"895_CR67","doi-asserted-by":"publisher","first-page":"n71","DOI":"10.1136\/bmj.n71","volume":"372","author":"MJ Page","year":"2021","unstructured":"Page, M. J., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71.","journal-title":"BMJ"},{"key":"895_CR68","doi-asserted-by":"publisher","first-page":"7745","DOI":"10.1038\/s41598-023-31373-6","volume":"13","author":"G Parasuaraman","year":"2023","unstructured":"Parasuaraman, G., et al. (2023). The association between body mass index, abdominal fatness, and weight change and the risk of adult asthma: A systematic review and meta-analysis of cohort studies. Scientific Reports, 13, 7745.","journal-title":"Scientific Reports"},{"key":"895_CR69","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1016\/j.neuroimage.2015.07.050","volume":"122","author":"N Persson","year":"2015","unstructured":"Persson, N., et al. (2015). Age and sex related differences in subcortical brain Iron concentrations among healthy adults. Neuroimage, 122, 385\u2013398.","journal-title":"Neuroimage"},{"key":"895_CR70","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1002\/mrm.25677","volume":"75","author":"R Pohmann","year":"2016","unstructured":"Pohmann, R., Speck, O., & Scheffler, K. (2016). Signal-to-noise ratio and MR tissue parameters in human brain imaging at 3, 7, and 9.4 tesla using current receive coil arrays. Magnetic Resonance in Medicine, 75, 801\u2013809.","journal-title":"Magnetic Resonance in Medicine"},{"key":"895_CR71","doi-asserted-by":"publisher","first-page":"6492786","DOI":"10.1155\/2020\/6492786","volume":"2020","author":"A Pudlac","year":"2020","unstructured":"Pudlac, A., et al. (2020). Deep gray matter Iron content in Neuromyelitis Optica and multiple sclerosis. BioMed Research International, 2020, 6492786.","journal-title":"BioMed Research International"},{"key":"895_CR72","doi-asserted-by":"publisher","first-page":"975","DOI":"10.3233\/JAD-160612","volume":"57","author":"R Rajmohan","year":"2017","unstructured":"Rajmohan, R., & Reddy, P. H. (2017). Amyloid Beta and Phosphorylated tau accumulations cause abnormalities at synapses of Alzheimer\u2019s disease neurons. Journal of Alzheimer's Disease, 57, 975\u2013999.","journal-title":"Journal of Alzheimer's Disease"},{"key":"895_CR73","doi-asserted-by":"publisher","first-page":"618435","DOI":"10.3389\/fnins.2021.618435","volume":"15","author":"P Ravanfar","year":"2021","unstructured":"Ravanfar, P., et al. (2021). Systematic review: Quantitative susceptibility mapping (QSM) of brain Iron profile in neurodegenerative diseases. Frontiers in Neuroscience, 15, 618435.","journal-title":"Frontiers in Neuroscience"},{"key":"895_CR74","doi-asserted-by":"publisher","first-page":"1282","DOI":"10.1042\/BST0361282","volume":"36","author":"JT Rogers","year":"2008","unstructured":"Rogers, J. T., et al. (2008). Iron and the translation of the amyloid precursor protein (APP) and ferritin mRNAs: Riboregulation against neural oxidative damage in Alzheimer\u2019s disease. Biochemical Society Transactions, 36, 1282\u20131287.","journal-title":"Biochemical Society Transactions"},{"key":"895_CR75","doi-asserted-by":"publisher","first-page":"18975","DOI":"10.1074\/jbc.R115.650150","volume":"290","author":"PJ Schmidt","year":"2015","unstructured":"Schmidt, P. J. (2015). Regulation of Iron metabolism by Hepcidin under conditions of inflammation. The Journal of Biological Chemistry, 290, 18975\u201318983.","journal-title":"The Journal of Biological Chemistry"},{"key":"895_CR76","doi-asserted-by":"publisher","first-page":"1139988","DOI":"10.3389\/fnins.2023.1139988","volume":"17","author":"B Sharma","year":"2023","unstructured":"Sharma, B., et al. (2023). Brain iron content in cerebral amyloid angiopathy using quantitative susceptibility mapping. Frontiers in Neuroscience, 17, 1139988.","journal-title":"Frontiers in Neuroscience"},{"key":"895_CR77","doi-asserted-by":"publisher","first-page":"e96","DOI":"10.3346\/jkms.2018.33.e96","volume":"33","author":"C Shin","year":"2018","unstructured":"Shin, C., Lee, S., Lee, J. Y., Rhim, J. H., & Park, S. W. (2018). Non-motor symptom burdens are not associated with Iron accumulation in early Parkinson\u2019s disease: A quantitative susceptibility mapping study. Journal of Korean Medical Science, 33, e96.","journal-title":"Journal of Korean Medical Science"},{"key":"895_CR78","doi-asserted-by":"publisher","first-page":"e0240697","DOI":"10.1371\/journal.pone.0240697","volume":"15","author":"H Spence","year":"2020","unstructured":"Spence, H., McNeil, C. J., & Waiter, G. D. (2020). The impact of brain iron accumulation on cognition: A systematic review. PLoS One, 15, e0240697.","journal-title":"PLoS One"},{"key":"895_CR79","doi-asserted-by":"publisher","first-page":"100","DOI":"10.3390\/ijms17010100","volume":"17","author":"C St\u00fcber","year":"2016","unstructured":"St\u00fcber, C., Pitt, D., & Wang, Y. (2016). Iron in multiple sclerosis and its noninvasive imaging with quantitative susceptibility mapping. International Journal of Molecular Sciences, 17, 100.","journal-title":"International Journal of Molecular Sciences"},{"key":"895_CR80","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1002\/mds.27929","volume":"35","author":"J Sun","year":"2020","unstructured":"Sun, J., et al. (2020). Quantitative evaluation of iron content in idiopathic rapid eye movement sleep behavior disorder. Movement Disorders, 35, 478\u2013485.","journal-title":"Movement Disorders"},{"key":"895_CR81","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1016\/j.neuroimage.2018.11.011","volume":"186","author":"Y Taege","year":"2019","unstructured":"Taege, Y., et al. (2019). Assessment of mesoscopic properties of deep gray matter iron through a model-based simultaneous analysis of magnetic susceptibility and R2* - a pilot study in patients with multiple sclerosis and normal controls. Neuroimage, 186, 308\u2013320.","journal-title":"Neuroimage"},{"key":"895_CR82","doi-asserted-by":"publisher","first-page":"3972173","DOI":"10.1155\/2022\/3972173","volume":"2022","author":"N Tambasco","year":"2022","unstructured":"Tambasco, N., et al. (2022). An updated overview of the magnetic resonance imaging of brain Iron in movement disorders. Behavioural Neurology, 2022, 3972173.","journal-title":"Behavioural Neurology"},{"key":"895_CR83","doi-asserted-by":"publisher","first-page":"102831","DOI":"10.1016\/j.nicl.2021.102831","volume":"32","author":"S Tan","year":"2021","unstructured":"Tan, S., et al. (2021). Utility of quantitative susceptibility mapping and diffusion kurtosis imaging in the diagnosis of early Parkinson\u2019s disease. Neuroimage Clin, 32, 102831.","journal-title":"Neuroimage Clin"},{"key":"895_CR84","doi-asserted-by":"publisher","first-page":"3612","DOI":"10.3390\/ijms23073612","volume":"23","author":"Y Tian","year":"2022","unstructured":"Tian, Y., et al. (2022). Iron metabolism in aging and age-related diseases. International Journal of Molecular Sciences, 23, 3612.","journal-title":"International Journal of Molecular Sciences"},{"key":"895_CR85","doi-asserted-by":"publisher","first-page":"109243","DOI":"10.1016\/j.ejrad.2020.109243","volume":"131","author":"S Tiepolt","year":"2020","unstructured":"Tiepolt, S., et al. (2020). Quantitative susceptibility mapping in \u03b2-amyloid PET-stratified patients with dementia and healthy controls - a hybrid PET\/MRI study. European Journal of Radiology, 131, 109243.","journal-title":"European Journal of Radiology"},{"key":"895_CR86","doi-asserted-by":"publisher","first-page":"838692","DOI":"10.3389\/fnhum.2022.838692","volume":"16","author":"D Tran","year":"2022","unstructured":"Tran, D., DiGiacomo, P., Born, D. E., Georgiadis, M., & Zeineh, M. (2022). Iron and Alzheimer\u2019s disease: From pathology to imaging. Frontiers in Human Neuroscience, 16, 838692.","journal-title":"Frontiers in Human Neuroscience"},{"key":"895_CR87","doi-asserted-by":"publisher","first-page":"938092","DOI":"10.3389\/fnins.2022.938092","volume":"16","author":"Y Uchida","year":"2022","unstructured":"Uchida, Y., Kan, H., Sakurai, K., Oishi, K., & Matsukawa, N. (2022). Quantitative susceptibility mapping as an imaging biomarker for Alzheimer\u2019s disease: The expectations and limitations. Frontiers in Neuroscience, 16, 938092.","journal-title":"Frontiers in Neuroscience"},{"key":"895_CR88","doi-asserted-by":"publisher","first-page":"1164","DOI":"10.1002\/mds.27717","volume":"34","author":"Y Uchida","year":"2019","unstructured":"Uchida, Y., et al. (2019). Voxel-based quantitative susceptibility mapping in Parkinson\u2019s disease with mild cognitive impairment. Movement Disorders, 34, 1164\u20131173.","journal-title":"Movement Disorders"},{"key":"895_CR89","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.brainres.2012.05.037","volume":"1466","author":"AF Vicente","year":"2012","unstructured":"Vicente, A. F., Bermudez, M. A., Romero, M. D. C., Perez, R., & Gonzalez, F. (2012). Putamen neurons process both sensory and motor information during a complex task. Brain Research, 1466, 70\u201381.","journal-title":"Brain Research"},{"key":"895_CR90","doi-asserted-by":"publisher","first-page":"3991","DOI":"10.1007\/s00429-017-1450-y","volume":"222","author":"N Vi\u00f1as-Guasch","year":"2017","unstructured":"Vi\u00f1as-Guasch, N., & Wu, Y. J. (2017). The role of the putamen in language: A meta-analytic connectivity modeling study. Brain Structure & Function, 222, 3991\u20134004.","journal-title":"Brain Structure & Function"},{"key":"895_CR91","doi-asserted-by":"publisher","first-page":"36669","DOI":"10.1038\/srep36669","volume":"6","author":"J-Y Wang","year":"2016","unstructured":"Wang, J.-Y., et al. (2016). Meta-analysis of brain iron levels of Parkinson\u2019s disease patients determined by postmortem and MRI measurements. Scientific Reports, 6, 36669.","journal-title":"Scientific Reports"},{"key":"895_CR92","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1016\/S1474-4422(14)70117-6","volume":"13","author":"RJ Ward","year":"2014","unstructured":"Ward, R. J., Zucca, F. A., Duyn, J. H., Crichton, R. R., & Zecca, L. (2014). The role of iron in brain ageing and neurodegenerative disorders. Lancet Neurology, 13, 1045\u20131060.","journal-title":"Lancet Neurology"},{"key":"895_CR93","volume-title":"The Newcastle-Ottawa scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses","author":"GA Wells","year":"2000","unstructured":"Wells, G. A. et al. The Newcastle-Ottawa scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. (2000)."},{"key":"895_CR94","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1016\/j.cell.2022.12.032","volume":"186","author":"DM Wilson","year":"2023","unstructured":"Wilson, D. M., et al. (2023). Hallmarks of neurodegenerative diseases. Cell, 186, 693\u2013714.","journal-title":"Cell"},{"key":"895_CR95","doi-asserted-by":"publisher","first-page":"656626","DOI":"10.3389\/fnagi.2021.656626","volume":"13","author":"J Xu","year":"2021","unstructured":"Xu, J., et al. (2021). Elevated Heme Oxygenase-1 correlates with increased brain Iron deposition measured by quantitative susceptibility mapping and decreased hemoglobin in patients with Parkinson\u2019s disease. Frontiers in Aging Neuroscience, 13, 656626.","journal-title":"Frontiers in Aging Neuroscience"},{"key":"895_CR96","doi-asserted-by":"publisher","first-page":"87","DOI":"10.2463\/mrms.mp.2021-0015","volume":"22","author":"A Yamaguchi","year":"2023","unstructured":"Yamaguchi, A., et al. (2023). Efficacy of quantitative susceptibility mapping with brain surface correction and vein removal for detecting increase magnetic susceptibility in patients with Alzheimer\u2019s disease. Magnetic Resonance in Medical Sciences, 22, 87\u201394.","journal-title":"Magnetic Resonance in Medical Sciences"},{"key":"895_CR97","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1046\/j.1471-4159.2002.t01-1-01061.x","volume":"82","author":"A Yamamoto","year":"2002","unstructured":"Yamamoto, A., et al. (2002). Iron (III) induces aggregation of hyperphosphorylated \u03c4 and its reduction to iron (II) reverses the aggregation: Implications in the formation of neurofibrillary tangles of Alzheimer\u2019s disease. Journal of Neurochemistry, 82, 1137\u20131147.","journal-title":"Journal of Neurochemistry"},{"key":"895_CR98","doi-asserted-by":"publisher","first-page":"792778","DOI":"10.3389\/fnagi.2022.792778","volume":"14","author":"L Yang","year":"2022","unstructured":"Yang, L., et al. (2022). Combined application of quantitative susceptibility mapping and diffusion kurtosis imaging techniques to investigate the effect of Iron deposition on microstructural changes in the brain in Parkinson\u2019s disease. Frontiers in Aging Neuroscience, 14, 792778.","journal-title":"Frontiers in Aging Neuroscience"},{"key":"895_CR99","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41392-023-01486-5","volume":"8","author":"W Zhang","year":"2023","unstructured":"Zhang, W., Xiao, D., Mao, Q., & Xia, H. (2023). Role of neuroinflammation in neurodegeneration development. Signal Transduction and Targeted Therapy, 8, 1\u201332.","journal-title":"Signal Transduction and Targeted Therapy"},{"key":"895_CR100","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41392-023-01484-7","volume":"8","author":"Y Zhang","year":"2023","unstructured":"Zhang, Y., Chen, H., Li, R., Sterling, K., & Song, W. (2023). Amyloid \u03b2-based therapy for Alzheimer\u2019s disease: Challenges, successes and future. Signal Transduction and Targeted Therapy, 8, 1\u201326.","journal-title":"Signal Transduction and Targeted Therapy"}],"container-title":["Brain Imaging and Behavior"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-024-00895-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11682-024-00895-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-024-00895-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,21]],"date-time":"2024-11-21T10:09:53Z","timestamp":1732183793000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11682-024-00895-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,17]]},"references-count":100,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["895"],"URL":"https:\/\/doi.org\/10.1007\/s11682-024-00895-6","relation":{},"ISSN":["1931-7565"],"issn-type":[{"value":"1931-7565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,17]]},"assertion":[{"value":"2 May 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 May 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}