Superficial white matter fiber systems impede detection of long-range cortical connections in diffusion MR tractography
Open accessAbstract
Significance: It is widely recognized that studying the detailed anatomy of the human brain is of great importance for neuroscience and medicine. The principal means for achieving this goal is presently diffusion magnetic resonance imaging (dMRI) tractography, which uses the local diffusion of water throughout the brain to estimate the course of long-range anatomical projections. Such projections connect gray matter regions through axons that travel in the deep white matter. The present study combines dMRI tractography with histological analysis to investigate where in the brain this method succeeds and fails. We conclude that certain superficial white matter systems pose challenges for measuring cortical connections that must be overcome for accurate determination of detailed neuroanatomy in humans.
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Long-distance connections are more difficult to track, as reconstruction error accumulates with each tracking step.
“Consequently, long-distance connections are more difficult to track, as the reconstruction error accumulates with each tracking step (Zalesky and Fornito 2009; Jbabdi et al. 2015; Reveley et al. 2015; Donahue et al. 2016).”
From Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics (2018) · cites this paper as Reveley et al. 2015
The Results report that track lines often become trapped in superficial white matter and fail to reach distant targets, supporting the difficulty of tracking long-range connections. The paper attributes that difficulty to local fiber structure; the passages do not establish that reconstruction error accumulates with each tracking step. (LLM, conf=0.86)
Experimental — accuracy not yet measuredStructure-function modeling using MRI data suffers from inherent limitations in DWI-tractography that have not been overcome by state-of-the-art acquisition and processing approaches.
“structure-function modeling using MRI data suffers from a number of inherent limitations in DWI-tractography that have not been overcome by state-of-the-art acquisition and processing approaches (Calabrese et al., 2015; Donahue et al., 2016; Reveley et al., 2015; Thomas et al., 2014).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Reveley et al., 2015
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Cites
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783 · see citing works
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970 · see citing works
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471 · see citing works
Preface: Cerebral Cortex Has Come of Age
Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,412 · see citing works
The Human Connectome: A Structural Description of the Human Brain
Sporns, O., Tononi, G., & Kötter, R. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010042 · Cited by 3,260 · see citing works
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664 · see citing works
Self-citationThe Human Connectome Project: A data acquisition perspective
Essen, D. C. V., Uǧurbil, K., Auerbach, E. J., Barch, D. M., Behrens, T. E. J., Bucholz, R. D., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.018 · Cited by 2,605 · see citing works
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Behrens, T. E. J., Johansen-Berg, H., Woolrich, M. W., Smith, S. M., Wheeler-Kingshott, C. A. M., Boulby, P. A., Barker, G. J., Sillery, E. L., Sheehan, K., Ciccarelli, O., et al. (2003) · Nature Neuroscience · doi:10.1038/nn1075 · Cited by 2,330 · see citing works
Fiber tracking: principles and strategies – a technical review
Mori, S., & van Zijl, P. C. M. (2002) · NMR in Biomedicine · doi:10.1002/nbm.781 · Cited by 2,019 · see citing works
Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo
Wolff, S. D., & Balaban, R. S. (1989) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910100113 · Cited by 1,482 · see citing works
A molecular phylogeny of living primates
Perelman, P., Johnson, W. E., Roos, C., Seuánez, H. N., Horvath, J. E., Moreira, M. A. M., Kessing, B., Pontius, J., Roelke, M., Rumpler, Y., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001342 · Cited by 1,414 · cited 1× · see citing works
“Moreover, although in many respects the macaque brain is a good approximation of the human brain, both species have undergone profound evolutionary changes since the time of their most recent common ancestor living more than 20 million years ago (10), particularly in regard to the massive expansion of the cerebral cor…”
BackgroundSelf-citationMapping complex tissue architecture with diffusion spectrum magnetic resonance imaging
Wedeen, V. J., Hagmann, P., Tseng, W. I., Reese, T. G., & Weisskoff, R. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20642 · Cited by 1,339 · see citing works
Schmahmann, J. D., & Pandya, D. N. (2006) · doi:10.1093/acprof:oso/9780195104233.001.0001 · Cited by 1,157 · see citing works
Schmahmann, J. D., Pandya, D. N., Wang, R., Dai, G., D'Arceuil, H. E., de Crespigny, A. J., & Wedeen, V. J. (2007) · Brain · doi:10.1093/brain/awl359 · Cited by 1,067 · see citing works
Functional connectomics from resting-state fMRI
Smith, S. M., Vidaurre, D., Beckmann, C. F., Glasser, M. F., Jenkinson, M., Miller, K. L., Nichols, T. E., Robinson, E. C., Salimi-Khorshidi, G., Woolrich, M. W., et al. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.016 · Cited by 952 · see citing works
Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers
Wedeen, V. J., Wang, R., Schmahmann, J. D., Benner, T., Tseng, W. I., Dai, G., Pandya, D. Ν., Hagmann, P., D'Arceuil, H. E., & de Crespigny, A. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.036 · Cited by 941 · see citing works
Occipito-temporal connections in the human brain.
Catani, M., Jones, D., Donato, R., & Ffytche, D. (2003) · Brain : a journal of neurology · doi:10.1093/brain/awg203 · Cited by 934 · see citing works
A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex
Markov, N. T., Ercsey-Ravasz, M. M., Ribeiro Gomes, A. R., Lamy, C., Magrou, L., Vezoli, J., Misery, P., Falchier, A., Quilodran, R., Gariel, M. A., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs270 · Cited by 857 · see citing works
Gray, H., Gray, H., & Lewis, W. H. (1918) · Lea & Febiger eBooks · doi:10.5962/bhl.title.20311 · Cited by 839 · see citing works
Thomas, C., Ye, F. Q., Irfanoglu, M. O., Modi, P., Saleem, K. S., Leopold, D. A., & Pierpaoli, C. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405672111 · Cited by 725 · see citing works
Self-citationDiffusion MRI : from quantitative measurement to in vivo neuroanatomy
Johansen‐Berg, H., & Behrens, T. E. J. (2014) · doi:10.1016/b978-0-12-374709-9.x0001-6 · Cited by 703 · see citing works
Comparing face patch systems in macaques and humans
Tsao, D. Y., Moeller, S., & Freiwald, W. A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809662105 · Cited by 661 · see citing works
Parcellations and Hemispheric Asymmetries of Human Cerebral Cortex Analyzed on Surface-Based Atlases
Van Essen, D. C., Glasser, M. F., Dierker, D. L., Harwell, J., & Coalson, T. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr291 · Cited by 616 · see citing works
Tractography: Where Do We Go from Here?
Jbabdi, S., & Johansen-Berg, H. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0033 · Cited by 614 · see citing works
Centenary of Brodmann's map — conception and fate
Zilles, K., & Amunts, K. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2776 · Cited by 584 · see citing works
Human Connectome Project informatics: Quality control, database services, and data visualization
Marcus, D. S., Harms, M. P., Snyder, A. Z., Jenkinson, M., Wilson, J. A., Glasser, M. F., Barch, D. M., Archie, K. A., Burgess, G. C., Ramaratnam, M., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.077 · Cited by 465 · see citing works
Functional neuroanatomy of the primate isocortical motor system
Geyer, S., Matelli, M., Luppino, G., & Zilles, K. (2000) · Anatomy and Embryology · doi:10.1007/s004290000127 · Cited by 450 · see citing works
The Geometric Structure of the Brain Fiber Pathways
Wedeen, V. J., Rosene, D. L., Wang, R., Dai, G., Mortazavi, F., Hagmann, P., Kaas, J. H., & Tseng, W.-Y. I. (2012) · Science · doi:10.1126/science.1215280 · Cited by 445 · see citing works
The human connectome: Origins and challenges
Sporns, O. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.023 · Cited by 434 · see citing works
Weight consistency specifies regularities of macaque cortical networks
Markov, N. T., Misery, P., Falchier, A., Lamy, C., Vezoli, J., Quilodran, R., Gariel, M. A., Giroud, P., Ercsey-Ravasz, M., Pilaz, L. J., et al. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq201 · Cited by 386 · see citing works
Backwardness of human neuroanatomy
Crick, F., & Jones, E. G. (1993) · Nature · doi:10.1038/361109a0 · Cited by 306 · see citing works
Interpreting fMRI data: maps, modules and dimensions
de Beeck, H. O., Haushofer, J., & Kanwisher, N. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2314 · Cited by 279 · see citing works
Validation of in vitro probabilistic tractography
Dyrby, T. B., Søgaard, L. V., Parker, G. J., Alexander, D. C., Lind, N. M., Baaré, W. F. C., Hay-Schmidt, A., Eriksen, N., Pakkenberg, B., Paulson, O. B., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.022 · Cited by 236 · see citing works
Leichnetz, G. R. (1986) · Journal of Comparative Neurology · doi:10.1002/cne.902540403 · Cited by 234 · see citing works
Dauguet, J., Peled, S., Berezovskii, V., Delzescaux, T., Warfield, S. K., Born, R., & Westin, C.-F. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.067 · Cited by 233 · see citing works
Jbabdi, S., Lehman, J. F., Haber, S. N., & Behrens, T. E. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2457-12.2013 · Cited by 213 · see citing works
From retinotopy to recognition: fMRI in human visual cortex
Tootell, R. B. H., Hadjikhani, N. K., Mendola, J. D., Marrett, S., & Dale, A. M. (1998) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01171-1 · Cited by 205 · see citing works
Preuss, T. M., & Goldman, P. S. (1991) · The Journal of Comparative Neurology · doi:10.1002/cne.903100403 · Cited by 202 · see citing works
An approach to high resolution diffusion tensor imaging in fixed primate brain
D'Arceuil, H. E., Westmoreland, S. V., & de Crespigny, A. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.028 · Cited by 195 · see citing works
The future of the human connectome
Essen, D. C. V., & Uǧurbil, K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.032 · Cited by 195 · see citing works
Crossing fibres in tract-based spatial statistics
Jbabdi, S., Behrens, T. E. J., & Smith, S. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.039 · Cited by 187 · see citing works
Ball and rackets: inferring fiber fanning from diffusion-weighted MRI
Sotiropoulos, S. N., Behrens, T. E. J., & Jbabdi, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.056 · Cited by 156 · see citing works
Axonal Fiber Terminations Concentrate on Gyri
Nie, J., Guo, L., Li, K., Wang, Y., Chen, G., Li, L., Chen, H., Deng, F., Jiang, X., Zhang, T., et al. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr361 · Cited by 140 · see citing works
Multiple Parietal–Frontal Pathways Mediate Grasping in Macaque Monkeys
Gharbawie, O. A., Stepniewska, I., Qi, H., & Kaas, J. H. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1777-11.2011 · Cited by 137 · see citing works
Mantini, D., Hasson, U., Betti, V., Perrucci, M. G., Romani, G. L., Corbetta, M., Orban, G. A., & Vanduffel, W. (2012) · Nature Methods · doi:10.1038/nmeth.1868 · Cited by 122 · see citing works
Kleiser, R., Stämpfli, P., Valavanis, A., Boesiger, P., & Kollias, S. (2009) · Neuroradiology · doi:10.1007/s00234-009-0539-2 · Cited by 116 · see citing works
The evolution of neocortex in primates
Kaas, J. H. (2012) · Progress in brain research · doi:10.1016/b978-0-444-53860-4.00005-2 · Cited by 113 · see citing works
Intrinsic connectivity of human auditory areas: a tracing study with DiI
Tardif, É., & Clarke, S. (2001) · European Journal of Neuroscience · doi:10.1046/j.0953-816x.2001.01456.x · Cited by 113 · see citing works
Histological Validation of DW-MRI Tractography in Human Postmortem Tissue
Seehaus, A. K., Roebroeck, A., Chiry, O., Kim, D.-S., Ronen, I., Bratzke, H., Goebel, R., & Galuske, R. A. W. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs036 · Cited by 109 · see citing works
Coevolution of Gyral Folding and Structural Connection Patterns in Primate Brains
Chen, H., Zhang, T., Guo, L., Li, K., Yu, X., Li, L., Hu, X., Han, J., Hu, X. P., & Liu, T. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs113 · Cited by 76 · see citing works
Tracing neuronal connections in postmortem human hippocampal complex with the carbocyanine dye DiI
Mufson, E. J., Brady, D. R., & Kordower, J. H. (1990) · Neurobiology of Aging · doi:10.1016/0197-4580(90)90031-t · Cited by 64 · see citing works
Neuroanatomical Tract-Tracing 3
Záborszky, L., Wouterlood, F. G., & Lanciego, J. L. (2006) · Springer eBooks · doi:10.1007/0-387-28942-9 · Cited by 59 · see citing works
Mijnster, M. J., Raimundo, A. G. V., Koskuba, K., Klop, H., Docter, G. J., Groenewegen, H. J., & Voorn, P. (1997) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19971208)389:1 · Cited by 59 · see citing works
Kitamura, K., Nakayama, K., Kosaka, S., et al. (2008) · Neuroradiology · doi:10.1007/s00234-007-0351-9 · Cited by 40 · see citing works
Rowe, M. C., Zhang, H. G., Oxtoby, N. P., et al. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38868-2_34 · Cited by 24 · see citing works
Tract-Tracing in Developing Systems and in Postmortem Human Material Using Carbocyanine Dyes
Molnár, Z., Blakey, D., Bystron, I., et al. (2006) · Springer eBooks · doi:10.1007/0-387-28942-9_12 · Cited by 21 · see citing works
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Research works printed but not linked: 2
- [47]Lewis JW, Van Essen DC. Corticocortical connections of visual, sensorimotor, and multimodal processing areas in the parietal lobe of the macaque monkey. J Comp Neurol. 2000;428(1):112–137. doi: 10.1002/1096-9861(20001204)428:1<112::aid-cne8>3.0.co;2-9. [DOI] [PubMed] [Google Scholar] · DOI
- [56]Pierpaoli C, et al. TORTOISE: An integrated software package for processing of diffusion MRI data. ISMRM Proceedings. 2010;18:1597. [Google Scholar]
Cited by
Sorted by citations
Tractography-based connectomes are dominated by false-positive connections
Maier-Hein, K. H., Neher, P., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., Chamberland, M., Yeh, F.-C., Lin, Y.-C., Ji, Q., et al. (2016) · doi:10.1101/084137 · Cited by 1,361 · see citing works
The Human Connectome Project's neuroimaging approach
Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., Coalson, T. S., Harms, M. P., Jenkinson, M., Moeller, S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4361 · Cited by 1,090 · see citing works
Grayson, D. S., & Fair, D. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.079 · Cited by 411 · see citing works
“For example, structure-function modeling using MRI data suffers from a number of inherent limitations in DWI-tractography that have not been overcome by state-of-the-art acquisition and processing approaches (Calabrese et al., 2015; Donahue et al., 2016; Reveley et al., 2015; Thomas et al., 2014).”
BackgroundDonahue, C. J., Sotiropoulos, S. N., Jbabdi, S., Hernandez-Fernandez, M., Behrens, T. E., Dyrby, T. B., Coalson, T., Kennedy, H., Knoblauch, K., Van Essen, D. C., et al. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0493-16.2016 · Cited by 380 · see citing works
Measuring macroscopic brain connections in vivo
Jbabdi, S., Sotiropoulos, S. N., Haber, S. N., Van Essen, D. C., & Behrens, T. E. (2015) · Nature Neuroscience · doi:10.1038/nn.4134 · Cited by 334 · see citing works
Zhang, F., Daducci, A., He, Y., Schiavi, S., Seguin, C., Smith, R. E., Yeh, C.-H., Zhao, T., & O’Donnell, L. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118870 · Cited by 302 · see citing works
“The complex folding and convolutions of cortical gyri also pose challenges for the reconstruction of long-range connections (Reveley et al., 2015).”
Connectome sensitivity or specificity: which is more important?
Zalesky, A., Fornito, A., Cocchi, L., Gollo, L. L., van den Heuvel, M. P., & Breakspear, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.035 · Cited by 275 · see citing works
Limits to anatomical accuracy of diffusion tractography using modern approaches
Schilling, K. G., Nath, V., Hansen, C., Parvathaneni, P., Blaber, J., Gao, Y., Neher, P., Aydogan, D. B., Shi, Y., Ocampo-Pineda, M., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.029 · Cited by 260 · see citing works
Self-citationOptimally controlling the human connectome: the role of network topology
Betzel, R. F., Gu, S., Medaglia, J. D., Pasqualetti, F., & Bassett, D. S. (2016) · Scientific Reports · doi:10.1038/srep30770 · Cited by 247 · see citing works
Horvát, S., Gămănuț, R., Ercsey-Ravasz, M., Magrou, L., Gămănuț, B., Van Essen, D. C., Burkhalter, A., Knoblauch, K., Toroczkai, Z., & Kennedy, H. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002512 · Cited by 198 · see citing works
Optimal trajectories of brain state transitions
Gu, S., Betzel, R. F., Mattar, M. G., Cieslak, M., Delio, P. R., Grafton, S. T., Pasqualetti, F., & Bassett, D. S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.003 · Cited by 183 · see citing works
Schilling, K. G., Rheault, F., Petit, L., Hansen, C. B., Nath, V., Yeh, F.-C., Girard, G., Barakovic, M., Rafael-Patino, J., Yu, T., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118502 · Cited by 182 · see citing works
Yeh, F.-C., Vettel, J. M., Singh, A., Poczos, B., Grafton, S. T., Erickson, K. I., Tseng, W.-Y. I., & Verstynen, T. D. (2016) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005203 · Cited by 151 · see citing works
Tractography patterns of subthalamic nucleus deep brain stimulation
Vanegas-Arroyave, N., Lauro, P. M., Huang, L., Hallett, M., Horovitz, S. G., Zaghloul, K. A., & Lungu, C. (2016) · Brain · doi:10.1093/brain/aww020 · Cited by 137 · see citing works
Prefrontal connectomics: From anatomy to human imaging
Haber, S. N., Liu, H., Seidlitz, J., & Bullmore, E. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01156-6 · Cited by 129 · see citing works
The impact of in-scanner head motion on structural connectivity derived from diffusion MRI
Baum, G. L., Roalf, D. R., Cook, P. A., Ciric, R., Rosen, A. F. G., Xia, C., Elliott, M. A., Ruparel, K., Verma, R., Tunç, B., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.041 · Cited by 116 · see citing works
Sotiropoulos, S. N., Hernández-Fernández, M., Vu, A. T., Andersson, J. L., Moeller, S., Yacoub, E., Lenglet, C., Ugurbil, K., Behrens, T. E. J., & Jbabdi, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.014 · Cited by 110 · see citing works
Structural network efficiency predicts conversion to dementia
Tuladhar, A. M., van Uden, I. W. M., Rutten-Jacobs, L. C. A., Lawrence, A., van der Holst, H., van Norden, A., de Laat, K., van Dijk, E., Claassen, J. A. H. R., Kessels, R. P. C., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002502 · Cited by 109 · see citing works
Girard, G., Caminiti, R., Battaglia-Mayer, A., St-Onge, E., Ambrosen, K. S., Eskildsen, S. F., Krug, K., Dyrby, T. B., Descoteaux, M., Thiran, J.-P., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117201 · Cited by 83 · see citing works
Sinke, M. R. T., Otte, W. M., Christiaens, D., Schmitt, O., Leemans, A., van der Toorn, A., Sarabdjitsingh, R. A., Joëls, M., & Dijkhuizen, R. M. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1628-y · Cited by 70 · see citing works
Connections of the human orbitofrontal cortex and inferior frontal gyrus
Heather Hsu, C.-C., Rolls, E. T., Huang, C.-C., Chong, S. T., Zac Lo, C.-Y., Feng, J., & Lin, C.-P. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa160 · Cited by 67 · see citing works
Gogliettino, A. R., Potenza, M. N., & Yip, S. W. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.02.015 · Cited by 56 · see citing works
Fiber length profiling: a novel approach to structural brain organization
Bajada, C. J., Schreiber, J., & Caspers, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.070 · Cited by 55 · see citing works
Reveley, C., Ye, F. Q., & Leopold, D. A. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00368 · Cited by 14 · see citing works
Self-citationWhite-matter crossing-fiber microstructure in adolescents prenatally exposed to cocaine
Morie, K. P., Yip, S. W., Zhai, Z. W., Xu, J., Hamilton, K. R., Sinha, R., Mayes, L. C., & Potenza, M. N. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.01.011 · Cited by 9 · see citing works
- Authors
- Reveley, C., Seth, A. K., Pierpaoli, C., Silva, A. C., Yu, D., Saunders, R. C., Leopold, D. A., & Ye, F. Q.
- Affiliations
- University of Sussex (GB)
- National Institutes of Health (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-05-11
- Volume
- 112
- Issue
- 21
- Pages
- E2820-8
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4450402
- OpenAlex
- W2112185786
- Cited by
- 417
- References
- 58
- Citations by year
- 2026: 19 · 2025: 24 · 2024: 39 · 2023: 21 · 2022: 32 · 2021: 48 · 2020: 54 · 2019: 33 · 2018: 46 · 2017: 48 · 2016: 42 · 2015: 11
- FWCI
- 39.42
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- HHS | NIH | National Institute of Mental Health (ZIC MH002899-06)
- 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 › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- long-range cortical connections, diffusion tractography, cortical surface, axonal projections, probabilistic tractography, myelin staining, macaque brain
- MeSH terms
- Animals, Cerebral Cortex, Humans, Macaca mulatta, Male, Models, Neurological, Neural Pathways, Databases, Factual, Imaging, Three-Dimensional, Diffusion Tensor Imaging, Connectome, White Matter, Gray Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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