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A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Open accessAbstract
Voxel-based-morphometry (VBM) is a whole-brain, unbiased technique for characterizing regional cerebral volume and tissue concentration differences in structural magnetic resonance images. We describe an optimized method of VBM to examine the effects of age on grey and white matter and CSF in 465 normal adults. Global grey matter volume decreased linearly with age, with a significantly steeper decline in males. Local areas of accelerated loss were observed bilaterally in the insula, superior parietal gyri, central sulci, and cingulate sulci. Areas exhibiting little or no age effect (relative preservation) were noted in the amygdala, hippocampi, and entorhinal cortex. Global white matter did not decline with age, but local areas of relative accelerated loss and preservation were seen. There was no interaction of age with sex for regionally specific effects. These results corroborate previous reports and indicate that VBM is a useful technique for studying structural brain correlates of ageing through life in humans.
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“Fractional anisotropy of SLF also varies between individuals, but less importantly, than volume (67, 68).”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [67]
In the citing paper
“This variability can be observed at different levels such as in cortical morphology, cytoarchitecture, task-evoked activation, or in dMRI connectivity pattern (65–68).”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [67]
In the citing paper
“from one individual to another, the volume of the SLF appears different.”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [67]
In the citing paper
“VBM is an automated technique that allows for the examination of brain anatomy differences between groups at a voxel-wise level without requiring predefined regions of interest (ROIs) (Good et al., 2001).”
From Multimodal MRI combined with RNA sequencing reveals pathological signatures in the 9-month-old 3×Tg-AD mouse brain (2026) · cites this paper as Good et al., 2001
In the citing paper
“In spite of the objectivity of this method, studies led to somewhat contradictory results regarding the hippocampus: some authors have found this structure to be preserved with aging [29,31], whereas others have reported structural deterioration [38,81,84,87].”
From Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging (2009) · cites this paper as [29]
Citations
Cites
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Navigation-related structural change in the hippocampi of taxi drivers
Maguire, E. A., Gadian, D. G., Johnsrude, I. S., Good, C. D., Ashburner, J., Frackowiak, R. S. J., & Frith, C. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.070039597 · Cited by 3,225
Nonlinear spatial normalization using basis functions
Ashburner, J., & Friston, K. J. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)7:4 · Cited by 1,888
Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363
Raz, N. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.3.268 · Cited by 1,292
Detecting activations in PET and fMRI: levels of inference and power
Friston, K. J., Holmes, A., Poline, J.-B., Price, C. J., & Frith, C. D. (1996) · NeuroImage · doi:10.1006/nimg.1996.0074 · Cited by 1,148
Self-citationNonparametric Analysis of Statistic Images from Functional Mapping Experiments
Holmes, A. P., Blair, R. C., Watson, J. D. G., & Ford, I. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199601000-00002 · Cited by 894
The Young Adult Human Brain: An MRI-based Morphometric Analysis
Filipek, P. A., Richelme, C., Kennedy, D. N., & Caviness, V. S. (1994) · Cerebral Cortex · doi:10.1093/cercor/4.4.344 · Cited by 652
Isolating the neural mechanisms of age-related changes in human working memory
Bart Rypma, A., & D’Esposito, M. (2000) · Nature Neuroscience · doi:10.1038/74889 · Cited by 566
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Research works printed but not linked: 1
- Davatzikos, 1998, Mapping of image data to stereotaxic spaces: Applications to brain mapping, Hum. Brain Mapp., 6, 334, 10.1002/(SICI)1097-0193(1998)6:5/6<334::AID-HBM2>3.0.CO;2-7 · DOI
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Items 601–700 of 1,085
Liu, R. S. N., Lemieux, L., Bell, G. S., Sisodiya, S. M., Shorvon, S. D., Sander, J. W. A. S., & Duncan, J. S. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00219-2 · Cited by 168
Hua, X., Leow, A., Lee, S., Klunder, A. D., Toga, A. W., Leporé, N., Chou, Y.-Y., Brun, C., Chiang, M. Y.-H., & Marina Barysheva, A. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.010 · Cited by 175
Joie, R. L., Fouquet, M., Mézenge, F., Landeau, B., Villain, N., Mevel, K., Pèlerin, A., Eustache, F., Desgranges, B., & Chételat, G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.024 · Cited by 179
Agosta, F., Pagani, E., Rocca, M. A., Caputo, D., Perini, M., Salvi, F., Prelle, A. C., & Filippi, M. (2007) · Human Brain Mapping · doi:10.1002/hbm.20364 · Cited by 169
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Hafkemeijer, A., Altmann‐Schneider, I., Oleksik, A. M., van de Wiel, L., Middelkoop, H. A. M., van Buchem, M. A., van der Grond, J., & Rombouts, S. A. R. B. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0144 · Cited by 176
Preliminary evidence for brain complications in obese adolescents with type 2 diabetes mellitus
Yau, P. L., Javier, D., Ryan, C. M., Tsui, W. H., Ardekani, B. A., Ten, S., & Convit, A. J. (2010) · Diabetologia · doi:10.1007/s00125-010-1857-y · Cited by 169
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Toepper, M. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161099 · Cited by 191
Voxel‐based morphometry detects cortical atrophy in the Parkinson variant of multiple system atrophy
Brenneis, C., Seppi, K., Schocke, M. F., Müller, J., Luginger, E., Bösch, S., Löscher, W. N., Büchel, C., Poewe, W., & Wenning, G. K. (2003) · Movement Disorders · doi:10.1002/mds.10502 · Cited by 167
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Stebbins, G. T., Nyenhuis, D. L., Wang, C., Cox, J. L., Freels, S. A., Bangen, K. J., deToledo‐Morrell, L., Sripathirathan, K., Moseley, M. E., Turner, D. A., et al. (2008) · Stroke · doi:10.1161/strokeaha.107.507392 · Cited by 166
Dynamically Spreading Frontal and Cingulate Deficits Mapped in Adolescents With Schizophrenia
Vidal, C. N., Rapoport, J. L., Hayashi, K. M., Geaga, J. A., Sui, Y., McLemore, L. E., Alaghband, Y., Giedd, J. N., Gochman, P., Blumenthal, J. D., et al. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.1.25 · Cited by 165
Valet, M., Gündel, H., Sprenger, T., Sorg, C., Mühlau, M., Zimmer, C., Henningsen, P., & Tölle, T. R. (2008) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31818d1e02 · Cited by 171
Omar, R., Henley, S. M. D., Bartlett, J. W., Hailstone, J. C., Gordón, E., Sauter, D. A., Frost, C. D., Scott, S. K., & Warren, J. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.002 · Cited by 177
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Hüfner, K., Hamilton, D. A., Kalla, R., Stephan, T., Glasauer, S., Ma, J., Brüning, R., Markowitsch, H. J., Labudda, K., Schichor, C., et al. (2007) · Hippocampus · doi:10.1002/hipo.20283 · Cited by 168
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Williams, G. B., Nestor, P. J., & Hodges, J. R. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.10.023 · Cited by 168
Lupien, S. J., Evans, A., Lord, C., Miles, J., Pruessner, M., Pike, B., & Pruessner, J. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.041 · Cited by 167
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Jones, K. T., Stephens, J. A., Alam, M., Bikson, M., & Berryhill, M. E. (2015) · PLoS ONE · doi:10.1371/journal.pone.0121904 · Cited by 172
Lu, C., Peng, D., Chen, C., Ning, N., Ding, G., Li, K., Yang, Y., & Lin, C. (2009) · Cortex · doi:10.1016/j.cortex.2009.02.017 · Cited by 178
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Hornberger, M., Wong, S., Tan, R. H., Irish, M., Piguet, O., Kril, J. J., Hodges, J. R., & Halliday, G. M. (2012) · Brain · doi:10.1093/brain/aws239 · Cited by 170
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Vinke, E. J., de Groot, M., Venkatraghavan, V., Klein, S., Niessen, W. J., Ikram, M. A., & Vernooij, M. W. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.07.001 · Cited by 170
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Brickman, A. M., Zimmerman, M. E., Paul, R. H., Grieve, S. M., Tate, D. F., Cohen, R. A., Williams, L. M., Clark, C. R., & Gordon, E. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.01.011 · Cited by 166
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Zou, L., Ding, G., Abutalebi, J., Shu, H., & Peng, D. (2011) · Cortex · doi:10.1016/j.cortex.2011.05.022 · Cited by 170
Quattrone, A., Cerasa, A., Messina, D. N., Nicoletti, G., Hagberg, G. E., Lemieux, L., Novellino, F., Lanza, P. L., Arabia, G., & Salsone, M. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1190 · Cited by 166
Seidman, L. J., Biederman, J., Liang, L., Valera, E. M., Monuteaux, M. C., Brown, A., Kaiser, J., Spencer, T., Faraone, S. V., & Makris, N. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.053 · Cited by 165
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Ivleva, E. I., Bidesi, A. S., Keshavan, M. S., Pearlson, G. D., Meda, S. A., Dodig, D., Moates, A. F., Lu, H., Francis, A., Tandon, N., et al. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.13010126 · Cited by 163
Thivard, L., Pradat, P., Lehéricy, S., Lacomblez, L., Dormont, D., Jacques Chiras, C., Benali, H., & Meininger, V. (2007) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.101758 · Cited by 163
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Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Fukushima, A., & Kawashima, R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0023175 · Cited by 175
Babiloni, C., Frisoni, G. B., Steriade, M., Bresciani, L., Binetti, G. G., Percio, C. D., Geroldi, C., Miniussi, C., Nobili, F. M., Rodriguez, G., et al. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.01.020 · Cited by 161
Zarei, M., Mataix-Cols, D., Heyman, I., Hough, M., Doherty, J., Burge, L., Winmill, L., Nijhawan, S., Matthews, P. M., & James, A. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.06.032 · Cited by 160
Demirakca, T., Sartorius, A., Ende, G., Meyer, N., Welzel, H., Skopp, G., Mann, K., & Hermann, D. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.09.020 · Cited by 162
Eckert, M. A., Leonard, C. M., Wilke, M., Eckert, M., Richards, T. L., Richards, A. L., & Berninger, V. W. (2005) · Cortex · doi:10.1016/s0010-9452(08)70268-5 · Cited by 161
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Structural brain abnormalities and suicidal behavior in borderline personality disorder
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Genova, H. M., Rajagopalan, V., DeLuca, J., Das, A., Binder, A. S., Arjunan, A., Chiaravalloti, N. D., & Wylie, G. R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078811 · Cited by 160
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Wang, S., Zhang⋆, Y., Li, Y.-J., Jia, W.-J., Liu, F.-Y., Yang, M., & Zhang, Y. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-4222-4 · Cited by 160
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Chen, W. W., Wang, N., Cai, S., Fang, Z., Yu, M., Wu, Q., Tang, L., Guo, B., Feng, Y., Jonas, J. B., et al. (2012) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.12-9893 · Cited by 155
Lochhead, R. A., Parsey, R. V., Oquendo, M. A., & Mann, J. J. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.02.026 · Cited by 157
Sullivan, E. V., Torsten Rohlfing, B., & Adolf Pfefferbaum, A. (2010) · Developmental Neuropsychology · doi:10.1080/87565641003689556 · Cited by 161
Whitford, T. J., Grieve, S. M., Farrow, T. F. D., Gomes, L. J., Brennan, J., Harris, A. W. F., Gordon, E., & Williams, L. M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.03.041 · Cited by 156
Leow, A. D., Yanovsky, I., Parikshak, N., Hua, X., Lee, S., Toga, A. W., Jack, C. R., Bernstein, M. A., Britson, P. J., Gunter, J. L., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.004 · Cited by 180
Isaacowitz, D. M., & Stanley, J. T. (2011) · Journal of Nonverbal Behavior · doi:10.1007/s10919-011-0113-6 · Cited by 172
Cognitive and brain changes associated with ischaemic heart disease and heart failure
Almeida, O. P., Garrido, G. J., Etherton‐Beer, C., Lautenschlager, N. T., Arnolda, L., & Flicker, L. A. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehr467 · Cited by 159
Morcom, A. M., Li, J., & Rugg, M. D. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl155 · Cited by 154
In-vivo Dynamics of the Human Hippocampus across the Menstrual Cycle
Barth, C., Steele, C., Mueller, K., Rekkas, V., Arélin, K., Pampel, A., Burmann, I., Kratzsch, J., Villringer, A., & Sacher, J. (2016) · Scientific Reports · doi:10.1038/srep32833 · Cited by 146
Teipel, S. J., Alexander, G. E., Schapiro, M. B., Möller, H., Rapoport, S. I., & Hampel, H. J. (2004) · Brain · doi:10.1093/brain/awh101 · Cited by 154
Evidence of thalamic gray matter loss in pediatric multiple sclerosis
Mesaroš, Š., Rocca, M., Absinta, M., Ghezzi, A., Milani, N., Moiola, L., Veggiotti, P., Comi, G., & Filippi, M. (2008) · Neurology · doi:10.1212/01.wnl.0000291010.54692.85 · Cited by 156
Resting-state networks in awake five- to eight-year old children
de Bie, H. M. A., Boersma, M., Adriaanse, S., Veltman, D. J., Wink, A. M., Roosendaal, S. D., Barkhof, F., Stam, C. J., Oostrom, K. J., Delemarre‐van de Waal, H. A., et al. (2012) · Human Brain Mapping · doi:10.1002/hbm.21280 · Cited by 143
Cachia, A., Mangin, J., Rivière, D., Kherif, F., Boddaert, N., Andrade, A., Orfanos, D. P., Poline, J.-B., Isabelle Bloch, A., Zilbovicius, M., et al. (2003) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.814781 · Cited by 153
Barrós‐Loscertales, A., Meseguer, V., Sanjuán, A., Belloch, V., Parcet, M. A., Torrúbia, R., & Ávila, C. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.07.025 · Cited by 151
Avants, B., Schoenemann, P. T., & Gee, J. C. (2005) · Medical Image Analysis · doi:10.1016/j.media.2005.03.005 · Cited by 153
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Rosen, H. J., Wilson, M. R., Schauer, G. F., Allison, S. C., Gorno‐Tempini, M., Pace-Savitsky, C., Kramer, J. H., LEVENSON, R. W., Weiner, M. W., & Miller, B. L. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2005.06.012 · Cited by 161
Snoek, L., van der Miesen, M. M., Beemsterboer, T., van der Leij, A. R., Eigenhuis, A., & Scholte, H. S. (2021) · Scientific Data · doi:10.1038/s41597-021-00870-6 · Cited by 164
Developmental changes in cerebral grey and white matter volume from infancy to adulthood
Groeschel, S., Vollmer, B., King, M. D., & Connelly, A. (2010) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2010.06.004 · Cited by 147
Co-localisation of abnormal brain structure and function in specific language impairment
Badcock, N. A., Bishop, D., Hardiman, M. J., Barry, J. G., & Watkins, K. E. (2011) · Brain and Language · doi:10.1016/j.bandl.2011.10.006 · Cited by 152
Witte, A. V., Savli, M., Holik, A., Kasper, S. F., & Lanzenberger, R. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.046 · Cited by 158
Price, S. L., Paviour, D. C., Scahill, R. I., Stevens, J., Rossor, M. N., Lees, A. J., & Fox, N. C. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.013 · Cited by 152
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Perceived quality of maternal care in childhood and structure and function of mothers' brain
Kim, P., Leckman, J. F., Mayes, L. C., Newman, M., Feldman, R., & Swain, J. E. (2009) · Developmental Science · doi:10.1111/j.1467-7687.2009.00923.x · Cited by 152
Yoo, S. Y., Jang, J. H., Shin, Y., Kim, D., Park, H., Moon, W., Chung, E. C., Lee, J. ‐., Kim, I. Y., Kim, S. I., et al. (2007) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2007.01046.x · Cited by 152
Goldman, J. G., Stebbins, G. T., Dinh, V., Bernard, B. A., Merkitch, D., deToledo‐Morrell, L., & Goetz, C. G. (2014) · Brain · doi:10.1093/brain/awt360 · Cited by 155
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Pifferi, F., Terrien, J., Marchal, J., Dal‐Pan, A., Djelti, F., Hardy, I., Chahory, S., Cordonnier, N., Desquilbet, L., Hurion, M., et al. (2018) · Communications Biology · doi:10.1038/s42003-018-0024-8 · Cited by 167
Metadata
- Authors
- Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J.
- Affiliations
- UCL Queen Square Institute of Neurology (GB)
- MRC Cognition and Brain Sciences Unit (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2001-07
- Volume
- 14
- Issue
- 1
- Pages
- 21-36
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2118421222
- Cited by
- 4,561
- References
- 67
- Citations by year
- 2026: 63 · 2025: 84 · 2024: 92 · 2023: 97 · 2022: 144 · 2021: 188 · 2020: 188 · 2019: 158 · 2018: 180 · 2017: 195 · 2016: 209 · 2015: 244 · 2014: 213 · 2013: 282 · 2012: 273
- FWCI
- 63.17
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Wellcome Trust
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- brain aging, gray matter volume, white matter, cerebrospinal fluid, sex differences, insula, superior parietal gyrus, cingulate sulcus, amygdala, hippocampus, entorhinal cortex, structural MRI
- MeSH terms
- Adolescent, Adult, Aged, Aging, Atrophy, Brain, Brain Mapping, Cephalometry, Dominance, Cerebral, Female, Humans, Image Enhancement, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Reference Values, Sex Factors
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