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Atlas of Human Brain Connections
Abstract
This atlas capitalises on novel diffusion MRI tractography methods to provide a comprehensive overview of connections derived from virtual in vivo tractography dissections of the human brain.
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“This ground truth data set included association, projection, and commissural tracts that have been previously described using post-mortem anatomical and electrophysiological methods41.”
From Tractography-based connectomes are dominated by false-positive connections (2016) · cites this paper as [41]
In the citing paper
“A great many studies clearly distinguish the 2 bundles as distinct entities, both anatomically and functionally (56, 59, 70, 71, 75, 76).”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [70]
In the citing paper
“the anterior segment of the AF appears to somehow correspond to the SLF III, and the two terms are used interchangeably.”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [70]
In the citing paper
“some of their subcomponents appear to overlap as if they each share a subdivision: the SLF III and the anterior segment of the AF (Figure 4).”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [70]
In the citing paper
“this bundle can be divided into three segments (a long, anterior, and posterior segment), each connecting two regions of either Broca, Wernicke, or the territory of Geschwind (inferior parietal lobule).”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [70]
In the citing paper
“These parietal connections include the precuneus and may also include more dorsal parts of the superior parietal lobule (areas PE and PM) and the inferior parietal lobule (PG) (Catani and Thiebaut de Schotten, 2012; Schmahmann and Pandya, 2006).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Catani and Thiebaut de Schotten, 2012
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“Before the advent of diffusion-weighted imaging (DWI), studying human brain connectivity was challenging because it required exploration of either lesioned tissue or postmortem tissue (Catani & Thiebaut de Schotten, 2012).”
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MethodSelf-citationTowards a Terminologia Neuroanatomica
ten Donkelaar, H. J., Broman, J., Neumann, P. E., Puelles, L., Riva, A., Tubbs, R. S., & Kachlík, D. (2016) · Clinical Anatomy · doi:10.1002/ca.22809 · Cited by 55
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Becker, Y., Loh, K., Coulon, O., & Meguerditchian, A. (2021) · Neuroscience and Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.12.013 · Cited by 44
Mattioli, P., Pardini, M., Famà, F., Girtler, N. G., Brugnolo, A., Orso, B., Meli, R., Filippi, L., Grisanti, S. G., Massa, F., et al. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05205-6 · Cited by 53
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Ewing‐Cobbs, L., Johnson, C. P., Juranek, J. J., DeMaster, D., Prasad, M. R., Duque, G., Kramer, L. A., Cox, C. S., & Swank, P. R. (2016) · Human Brain Mapping · doi:10.1002/hbm.23286 · Cited by 53
López, M. J. R., León, I., Góngora, D., Hernandez-Cabrera, J. A., Byrne, S., & Bobes, M. A. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw080 · Cited by 50
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Self-citationSchilling, K. G., Li, M., Rheault, F., Gao, Y., Cai, L. Y., Zhao, Y., Xu, L., Ding, Z., Anderson, A. W., Landman, B. A., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2219666120 · Cited by 50
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BackgroundTakaya, S., Kuperberg, G. R., Liu, H., Greve, D. N., Makris, N., & Stufflebeam, S. M. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00119 · Cited by 52
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Triarhou, L. C. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02258-z · Cited by 50
Kamat, R., Brown, G. G., Bolden, K., Fennema-Notestein, C., Archibald, S., Marcotte, T. D., Letendre, S. L., Ellis, R. J., Woods, S. P., Grant, I., et al. (2014) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2014.950636 · Cited by 47
Urbanski, M., Coubard, O. A., & Bourlon, C. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00074 · Cited by 47
Bagga, D., Sharma, A., Kumari, A., Kaur, P., Bhattacharya, D., Garg, M. L., Khushu, S., & Singh, N. (2013) · Alcohol · doi:10.1016/j.alcohol.2013.10.009 · Cited by 51
Sanefuji, M., Craig, M., Parlatini, V., Mehta, M. A., Murphy, D., Catani, M., Cerliani, L., & de Schotten, M. T. (2016) · Cortex · doi:10.1016/j.cortex.2016.06.005 · Cited by 50
Self-citationActive delineation of Meyer's loop using oriented priors through MAGNEtic tractography (MAGNET)
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Khan, O. H., Herbet, G., Moritz‐Gasser, S., & Duffau, H. (2013) · Brain Topography · doi:10.1007/s10548-013-0343-5 · Cited by 46
Schilling, K. G., Gao, Y., Stepniewska, I., Janve, V. A., Landman, B. A., & Anderson, A. W. (2018) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2018.09.004 · Cited by 48
Dragoy, O., Zyryanov, A., Бронов, О., Gordeyeva, E., Эдуардовна, Г. Н., Kryuchkova, O., Klyuev, E., Kopachev, D. N., Medyanik, I. A., Mishnyakova, L., et al. (2020) · Brain and Language · doi:10.1016/j.bandl.2020.104836 · Cited by 43
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“1b top 41, 42 ).”
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Nozais, V., Forkel, S. J., Petit, L., Talozzi, L., Corbetta, M., de Schotten, M. T., & Joliot, M. (2023) · Communications Biology · doi:10.1038/s42003-023-05107-3 · Cited by 41
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Salvalaggio, A., Pini, L., Gaiola, M., Velco, A., Sansone, G., Anglani, M., Fekonja, L. S., Chioffi, F., Picht, T., de Schotten, M. T., et al. (2023) · JAMA Neurology · doi:10.1001/jamaneurol.2023.3284 · Cited by 41
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Oishi, H., Takemura, H., Aoki, S., Fujita, I., & Amano, K. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804741115 · Cited by 39
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“…we reconstructed 9 well-known white matter bundles [cingulum (Cg), corpus callosum (CC body, genu and splenium), corticospinal tract (CST), optic radiations (OR), left and right superior longitudinal fasciculus (SLF), and the auditory radiation (AR) Catani and Thiebaut de Schotten, 2012].”
MethodBoukadi, M., Marcotte, K., Bedetti, C., Houde, J., Désautels, A., Deslauriers‐Gauthier, S., Chapleau, M., Boré, A., Descoteaux, M., & Brambati, S. M. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.01055 · Cited by 34
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Mirman, D., Kraft, A. E., Harvey, D. Y., Brecher, A. R., & Schwartz, M. F. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00729-9 · Cited by 37
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Miró, J., Gurtubay-Antolín, A., Ripollés, P., Sierpowska, J., Juncadella, M., Fuentemilla, L., Sánchez, V., Falip, M., & Rodríguez‐Fornells, A. (2015) · Cortex · doi:10.1016/j.cortex.2015.03.018 · Cited by 36
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Erickson, L. C., Rauschecker, J. P., & Turkeltaub, P. E. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1215-z · Cited by 38
Mizuno, Y., Jung, M., Fujisawa, T. X., Takiguchi, S., Shimada, K., Saito, D. N., Kosaka, H., & Tomoda, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-04579-8 · Cited by 36
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Self-citationFiber pathways supporting early literacy development in 5-8-year-old children.
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Berthier, M. L., Dávila, G., Green, C., Torres, I. M., de Mier, R. J.-R., De-Torres, I., & Ruiz‐Cruces, R. (2013) · Aphasiology · doi:10.1080/02687038.2013.861057 · Cited by 39
Takemura, H., Pestilli, F., & Weiner, K. S. (2018) · Neuroscience Research · doi:10.1016/j.neures.2018.10.011 · Cited by 36
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“To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ Response to reviewers’ comments for Nature Human Behaviour manuscript NATHUMBEHAV-23103300-T titled “The shared genetic architecture and evolution of human language and musical rhythm” - Author responses are in blue.”
InfluentialMammillothalamic and Mammillotegmental Tracts as New Targets for Dementia and Epilepsy Treatment
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Hofheimer, J. A. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.05854-5 · Cited by 34
Kelly, C. A., Trumpff, C., Acosta, C., Assuras, S., Baker, J., Basarrate, S., Behnke, A., Bo, K., Bobba‐Alves, N., Champagne, F. A., et al. (2024) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2024.08.006 · Cited by 35
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Lecce, F., Rotondaro, F., Bonnı̀, S., Carlesimo, G. A., de Schotten, M. T., Tomaiuolo, F., & Doricchi, F. (2014) · Cortex · doi:10.1016/j.cortex.2014.08.008 · Cited by 33
Self-citationSilvetti, M., Lasaponara, S., Lecce, F., Dragone, A., Macaluso, E., & Doricchi, F. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv208 · Cited by 33
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Li, P., Tsapanou, A., Qolamreza, R. R., & Gazes, Y. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.11.005 · Cited by 33
Morgan, E. U., van der Meer, A. L. H., Vulchanova, M., Blasí, D. E., & Baggio, G. (2020) · Psychonomic Bulletin & Review · doi:10.3758/s13423-019-01677-8 · Cited by 34
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Latini, F., Hjortberg, M., Aldskogius, H., & Ryttlefors, M. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.06.019 · Cited by 32
At the forefront of clinical neuroscience
Catani, M., & Stuss, D. T. (2011) · Cortex · doi:10.1016/j.cortex.2011.11.001 · Cited by 30
Self-citationRodríguez‐Herreros, B., Amengual, J. L., Gurtubay-Antolín, A., Richter, L., Jauer, P., Erdmann, C., Schweikard, A., López‐Moliner, J., Rodríguez‐Fornells, A., & Münte, T. F. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.070 · Cited by 32
“…on the MNI152 template supplied by FSL. FSLview and its atlas tools (International Consortium of Brain Mapping DTI-81 WM label atlas) in addition to general neuroanatomical atlases (Catani et al., 2012) were used to anatomically label the location of significant clusters in MNI152 space.”
Hung, Y., Uchida, M., Gaillard, S. L., Woodworth, H., Kelberman, C., Capella, J., Kadlec, K. M., Goncalves, M., Ghosh, S., Yendiki, A., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102266 · Cited by 32
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Mesulam, M. M., Coventry, C., Rader, B. M., Kuang, A., Sridhar, J., Martersteck, A., Zhang, H., Thompson, C. K., Weıntraub, S., & Rogalski, E. J. (2021) · Cortex · doi:10.1016/j.cortex.2021.05.002 · Cited by 29
Pisner, D., Smith, R. S., Alkozei, A., Klimova, A., & Killgore, W. D. S. (2016) · Social Neuroscience · doi:10.1080/17470919.2016.1176600 · Cited by 35
Critical Neural Networks in Awake Surgery for Gliomas
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Chamberland, M., Girard, G., Bernier, M., Fortin, D., Descoteaux, M., & Whittingstall, K. (2017) · Brain Connectivity · doi:10.1089/brain.2017.0539 · Cited by 30
Rheault, F., Houde, J., & Descoteaux, M. (2017) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2017.00042 · Cited by 30
Anatomy of nerve fiber bundles at micrometer-resolution in the vervet monkey visual system
Takemura, H., Palomero‐Gallagher, N., Axer, M., Gräßel, D., Jorgensen, M. J., Woods, R. P., & Zilles, K. (2020) · eLife · doi:10.7554/elife.55444 · Cited by 30
Hansen, C. B., Yang, Q., Lyu, I., Rheault, F., Kerley, C. I., Chandio, B. Q., Fadnavis, S., Williams, O. A., Shafer, A. T., Resnick, S. M., et al. (2020) · Neuroinformatics · doi:10.1007/s12021-020-09497-1 · Cited by 29
“…or a set of pathways with functional relevance (Figley et al. 2017), for example the pyramidal tract (Chenot et al. 2019), the sensorimotor tracts (Archer et al. 2018), or lobular-specific connections (Rojkova et al. 2016; M. Catani and Thiebaut de Schotten 2008; Thiebaut de Schotten et al. 2012).”
BackgroundVanderauwera, J., van Setten, E. R. H., Maurits, N. M., & Maassen, B. (2019) · PLoS ONE · doi:10.1371/journal.pone.0215560 · Cited by 28
“More specifically, the study by Ozenov-Palchik et al. [43] investigated this interplay in three white matter pathways, the long segment of the arcuate fasciculus, the SLF, here referred to as the anterior segment of the arcuate fasciculus, conforming to Catani & Thiebaut de Schotten [44] and the inferior longitudinal…”
Amemiya, K., Naito, E., & Takemura, H. (2021) · Cortex · doi:10.1016/j.cortex.2021.02.027 · Cited by 32
Kelley, S., Plass, J., Bender, A. R., & Polk, T. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab056 · Cited by 30
Bathelt, J., Astle, D. E., Barnes, J., Raymond, F. L., & Baker, K. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.07.016 · Cited by 25
“All data processing was carried out on a computer cluster under Scientific Linux release 6.6 (64bit).”
MethodInfluentialJennings, J. E., Kassam, A. B., Fukui, M. B., Monroy-Sosa, A., Chakravarthi, S. S., Kojis, N., & Rovin, R. (2017) · Operative Neurosurgery · doi:10.1093/ons/opx177 · Cited by 27
Keser, Z., Meier, E. L., Stockbridge, M. D., & Hillis, A. E. (2020) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2020.105078 · Cited by 27
The structural connectome in ADHD
Bu, X., Cao, M., Huang, X., & Yong He, A. (2021) · Psychoradiology · doi:10.1093/psyrad/kkab021 · Cited by 25
“(iii) Cingulum bundle The cingulum bundle connects to the cingulate cortex, which is associated with emotional control and cognitive processes (Catani, 2012).”
BackgroundSchilling, K. G., Li, M., Rheault, F., Ding, Z., Anderson, A. W., Kang, H., Landman, B. A., & Gore, J. C. (2022) · Cerebral Cortex Communications · doi:10.1093/texcom/tgac035 · Cited by 24
Minami, S., Oishi, H., Takemura, H., & Amano, K. (2020) · eNeuro · doi:10.1523/eneuro.0224-19.2020 · Cited by 26
Longitudinal prediction of motor dysfunction after stroke: a disconnectome study
Dulyan, L., Talozzi, L., Pacella, V., Corbetta, M., Forkel, S. J., & de Schotten, M. T. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02589-5 · Cited by 25
“The disconnection maps generated 1 3 with the individual lesions mirrors this bilateral but right prevalent pattern of disconnection with the highest overlap involving the ventral visual pathways, internal capsule, and perisylvian white matter (Catani and Thiebaut de Schotten 2012).”
BackgroundSelf-citationA multi-scale probabilistic atlas of the human connectome
Alemán‐Gómez, Y., Griffa, A., Houde, J., Najdenovska, E., Magon, S., Cuadra, M. B., Descoteaux, M., & Hagmann, P. (2022) · Scientific Data · doi:10.1038/s41597-022-01624-8 · Cited by 28
“Atlases based on specific tracts’ filtering enable “virtual dissections” of WM architecture 35 but are not specifically tuned to connectomics research which relies on complete, whole-brain network information.”
BackgroundStructural Brain Asymmetries for Language: A Comparative Approach across Primates
Becker, Y., & Meguerditchian, A. (2022) · Symmetry · doi:10.3390/sym14050876 · Cited by 26
“The Arcuate Fasciculus (AF) is a bundle of white matter, which arches dorsally around the Sylvian fissure, interconnecting Broca’s area in the frontal lobe with the Planum Temporale in the temporal lobe [107].”
BackgroundFunctional network and structural connections involved in picture naming
Jarret, J., Ferré, P., Chedid, G., Bedetti, C., Boré, A., Joanette, Y., Rouleau, I., & Brambati, S. M. (2022) · Brain and Language · doi:10.1016/j.bandl.2022.105146 · Cited by 25
White matter pathways mediate parental effects on children’s reading precursors
Vandermosten, M., Cuynen, L., Vanderauwera, J., Wouters, J. M., & Ghesquière, P. (2017) · Brain and Language · doi:10.1016/j.bandl.2017.05.002 · Cited by 24
Limbic Pathway Correlates of Cognitive Impairment in Multiple Sclerosis
Keser, Z., Hasan, K. M., Mwangi, B., Gabr, R. E., Steinberg, J. L., Wilken, J. A., Wolinsky, J. S., & Nelson, F. M. (2016) · Journal of Neuroimaging · doi:10.1111/jon.12381 · Cited by 25
Structural Connectivity in Down Syndrome and Alzheimer’s Disease
Saini, F., Dell’Acqua, F., & Strydom, A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.908413 · Cited by 22
The connectional anatomy of the temporal lobe
Catani, M. (2022) · Handbook of clinical neurology · doi:10.1016/b978-0-12-823493-8.00001-8 · Cited by 26
Self-citationEarly recovery of interhemispheric functional connectivity after corpus callosotomy
Hung, S., Lee, C., Chen, H., Chen, C., Wu, H., Lin, C., & Peng, S. (2019) · Epilepsia · doi:10.1111/epi.14933 · Cited by 24
The white matter architecture underlying semantic processing: A systematic review
Cocquyt, E., Lanckmans, E., van Mierlo, P., Duyck, W., Szmalec, A., Santens, P., & Letter, M. D. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107182 · Cited by 23
Setiadi, T. M., Martens, S., Opmeer, E. M., Marsman, J.-B. C., Tumati, S., Reesink, F. E., Deyn, P. P. D., Aleman, A., & Ćurĉić‐Blake, B. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102567 · Cited by 24
Sledge runner fasciculus: anatomic architecture and tractographic morphology
Koutsarnakis, C., Kalyvas, A., Skandalakis, G. P., Karavasilis, E., Christidi, F., Komaitis, S., Velonakis, G., Liakos, F., Emelifeonwu, J. A., Giavri, Z., et al. (2019) · Brain Structure and Function · doi:10.1007/s00429-018-01822-4 · Cited by 23
Stimulation of frontal pathways disrupts hand muscle control during object manipulation
Viganò, L., Howells, H., Rossi, M., Rabuffetti, M., Puglisi, G., Leonetti, A., Bellacicca, A., Nibali, M. C., Gay, L. G., Sciortino, T., et al. (2021) · Brain · doi:10.1093/brain/awab379 · Cited by 22
Hu, C., Jiang, W., Wu, Y., Wang, M., Lin, J., Chen, S., Shang, Y., Xie, J. M., Kong, Y., & Yuan, Y. (2023) · Psychological Medicine · doi:10.1017/s003329172300291x · Cited by 23
Metadata
- Authors
- Catani, M., & Thiebaut de Schotten, M.
- ORCID
- Catani, Marco
- Venue
- Oxford University Press eBooks
- Publisher
- Oxford University Press
- Published
- 2012-03
- OpenAlex
- W574584042
- Cited by
- 467
- References
- 0
- Citations by year
- 2026: 10 · 2025: 33 · 2024: 33 · 2023: 32 · 2022: 32 · 2021: 35 · 2020: 41 · 2019: 37 · 2018: 34 · 2017: 38 · 2016: 41 · 2015: 35 · 2014: 34 · 2013: 20 · 2012: 5
- FWCI
- 21.99
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Anatomy › Classical Anatomy and Histology
- Keywords
- human brain connectivity, diffusion MRI tractography, white matter tracts, brain dissection, virtual dissection, human brain atlas, neuroanatomy
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