Virtual in vivo interactive dissection of white matter fasciculi in the human brain
Open accessAbstract
This work reports the use of diffusion tensor magnetic resonance tractography to visualize the three-dimensional (3D) structure of the major white matter fasciculi within living human brain. Specifically, we applied this technique to visualize in vivo (i) the superior longitudinal (arcuate) fasciculus, (ii) the inferior longitudinal fasciculus, (iii) the superior fronto-occipital (subcallosal) fasciculus, (iv) the inferior frontooccipital fasciculus, (v) the uncinate fasciculus, (vi) the cingulum, (vii) the anterior commissure, (viii) the corpus callosum, (ix) the internal capsule, and (x) the fornix. These fasciculi were first isolated and were then interactively displayed as a 3D-rendered object. The virtual tract maps obtained in vivo using this approach were faithful to the classical descriptions of white matter anatomy that have previously been documented in postmortem studies. Since we have been able to interactively delineate and visualize white matter fasciculi over their entire length in vivo, in a manner that has only previously been possible by histological means, "virtual in vivo interactive dissection" (VIVID) adds a new dimension to anatomical descriptions of the living human brain.
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Initial DTI tractography studies portrayed the cingulum as a unitary bundle.
“Initial DTI tractography studies portrayed the cingulum as a unitary bundle (e.g., Catani et al., 2002; Xie et al., 2005; see Fig. 6A).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Catani et al., 2002
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Diffusion Tensor Imaging and Axonal Tracking in the Human Brainstem
Stieltjes, B., Kaufmann, W. E., van Zijl, P. C. M., Fredericksen, K., Pearlson, G. D., Solaiyappan, M., & Mori, S. (2001) · NeuroImage · doi:10.1006/nimg.2001.0861 · Cited by 492 · see citing works
The connections of the amygdala and of the anterior temporal cortex in the human brain.
Klingler, J., & Gloor, P. (1960) · Journal of Comparative Neurology · doi:10.1002/cne.901150305 · Cited by 404 · see citing works
Flagged first, then by citations
Research works printed but not linked: 14
- Conturo, T. E., Lori, N. F., Cull, T. S., Akbudak, E., Snyder, A. Z., Shimony, J. S., McKinstry, R. C., Burton, M., and Raichle, M. E. 1999. Tracking neuronal fiber pathways in the living human brain. Proc. Natl. Acad. Sci. USA 96: 10422-10427.
- Cowan, W. M., and Cue ´nod, M. 1975. The Use of Axonal Transport for Studies of Neuronal Connectivity. Elsevier, Amsterdam.
- Crank, J. 1956. The Mathematics of Diffusion. Oxford Univ. Press, Oxford.
- Dejerine, J. 1895. Anatomie des Centres Nerveux, Vol. 1, Rueff et Cie, Paris. Dejerine, J. 1901. Anatomie des Centres Nerveux, Vol. 2, Rueff et Cie, Paris. Demeter, S., Rosene, D. L., and van Hoesen, G. W. 1990. Fields of origin and pathways of the interhemispheric commissures in the temporal lobe of macaques. J. Comp. Neurol. 302: 29 -53.
- Gloor, P. 1997. The Temporal Lobe and the Limbic System. Oxford Univ. Press, New York.
- Jones, D. K., Horsfield, M. A., and Simmons, A. 1999b. An optimal strategy for precise determination of the diffusion tensor. In Book of Abstracts: Sixth Annual Meeting of the International Society for Magnetic Resonance in Medicine, pp. 1793. ISMRM, Berkeley, CA.
- Lee Seldon, H. 1985. The anatomy of speech perception: Human auditory cortex. In Cerebral Cortex, Vol. 4. Association and Audi- tory Cortices (A. Peters and E. G. Jones, Eds.), pp. 273-327. Ple- num, New York.
- Ludwig, E., and Klingler, J. 1956. Atlas Cerebri Humani. S. Karger, Basel.
- Mai, J. K., Assheuer J., and Paxinos G. 1997. Atlas of the Human Brain. Academic Press, San Diego.
- Mesulam, M. M., and Mufson, E. J. 1985. The insula of Reil in man and monkey: Architectonics, connectivity, and function. Cerebral Cortex, Vol. 4. Association and Auditory Cortices. (A. Peters and E. G. Jones, Eds.), pp. 179 -226. Plenum, New York.
- Nieuwenhuys, R., Voogd, J., and van Huijzen, C. 1988. The Human Central Nervous System. Springer-Verlag, Berlin.
- Pandya, D. N., and Rosene, D. L. 1985. Some observations on trajecto- ries and topography of commissural fibres. In Epilepsy and the Cor- pus Callosum (A. G. Reeves, Ed.), pp. 21-39. Plenum, New York.
- Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P. 1992. Numerical Recipes in C: The Art of Scientific Computing. Cambridge Univ. Press, New York.
- Zhang, S., Curry, C., Morris, D. S., and Laidlaw, D. H. 2000. Visu- alizing diffusion tensor MR images using streamtubes and stream- surfaces. Proceedings of the IEEE Visualization Conference, Utah.
Cited by
Sorted by citations
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
Diffusion tensor imaging of the brain
Alexander, A. L., Lee, J. E., Lazar, M., & Field, A. S. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.011 · Cited by 2,747 · see citing works
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175 · see citing works
Meta-analyzing left hemisphere language areas: phonology, semantics, and sentence processing.
Vigneau, M., Beaucousin, V., Hervé, P. Y., Duffau, H., Crivello, F., Houdé, O., Mazoyer, B., & Tzourio-Mazoyer, N. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.002 · Cited by 1,851 · see citing works
Perisylvian language networks of the human brain
Catani, M., Jones, D. K., & ffytche, D. H. (2005) · Annals of Neurology · doi:10.1002/ana.20319 · Cited by 1,832 · see citing works
Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review
Assaf, Y., & Pasternak, O. (2008) · Journal of Molecular Neuroscience · doi:10.1007/s12031-007-0029-0 · Cited by 1,537 · see citing works
MRtrix: Diffusion tractography in crossing fiber regions
Tournier, J., Calamante, F., & Connelly, A. (2012) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22005 · Cited by 1,370 · see citing works
Makris, N., Kennedy, D. N., McInerney, S., Sorensen, A. G., Wang, R., Caviness, V. S., & Pandya, D. N. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhh186 · Cited by 1,146 · 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
The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740 · see citing works
Thiebaut de Schotten, M., ffytche, D. H., Bizzi, A., Dell'Acqua, F., Allin, M., Walshe, M., Murray, R., Williams, S. C., Murphy, D. G. M., & Catani, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.055 · Cited by 656 · see citing works
Self-citationTractography: 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
Diffusion MRI fiber tractography of the brain
Jeurissen, B., Descoteaux, M., Mori, S., & Leemans, A. (2019) · NMR in Biomedicine · doi:10.1002/nbm.3785 · Cited by 574 · see citing works
“6 | Virtual dissection Specific fiber tracts can be isolated from a whole‐brain tractogram by means of track selection.(21,48,49) In practice, track selection is performed by defining ROIs through which the tract of interest is known to pass (also referred to as inclusive ROIs or “AND” gates).”
BackgroundConnectivity-Based Parcellation of Broca's Area
Anwander, A., Tittgemeyer, M., von Cramon, D., Friederici, A., & Knosche, T. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhk034 · Cited by 531 · see citing works
Beyond the arcuate fasciculus: consensus and controversy in the connectional anatomy of language
Dick, A. S., & Tremblay, P. (2012) · Brain · doi:10.1093/brain/aws222 · Cited by 470 · see citing works
Eluvathingal, T. J., Chugani, H. T., Behen, M. E., Juhász, C., Muzik, O., Maqbool, M., Chugani, D. C., & Makki, M. (2006) · Pediatrics · doi:10.1542/peds.2005-1727 · Cited by 451 · see citing works
Imaging human connectomes at the macroscale
Craddock, R. C., Jbabdi, S., Yan, C.-G., Vogelstein, J. T., Castellanos, F. X., Di Martino, A., Kelly, C., Heberlein, K., Colcombe, S., & Milham, M. P. (2013) · Nature Methods · doi:10.1038/nmeth.2482 · Cited by 419 · see citing works
Stuttered and fluent speech production: An ALE meta‐analysis of functional neuroimaging studies
Brown, S., Ingham, R. J., Ingham, J. C., Laird, A. R., & Fox, P. T. (2005) · Human Brain Mapping · doi:10.1002/hbm.20140 · Cited by 449 · see citing works
Disrupted axonal fiber connectivity in schizophrenia
Zalesky, A., Fornito, A., Seal, M. L., Cocchi, L., Westin, C.-F., Bullmore, E. T., Egan, G. F., & Pantelis, C. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.08.022 · Cited by 439 · see citing works
Croxson, P. L., Johansen-Berg, H., Behrens, T. E. J., Robson, M. D., Pinsk, M. A., Gross, C. G., Richter, W., Richter, M. C., Kastner, S., & Rushworth, M. F. S. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1311-05.2005 · Cited by 410 · see citing works
Rojkova, K., Volle, E., Urbanski, M., Humbert, F., Dell’Acqua, F., & Thiebaut de Schotten, M. (2016) · Brain Structure and Function · doi:10.1007/s00429-015-1001-3 · Cited by 361 · 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
Challenges and limitations of quantifying brain connectivity <i>in vivo</i> with diffusion MRI
Jones, D. K. (2010) · Imaging in Medicine · doi:10.2217/iim.10.21 · Cited by 321 · see citing works
Self-citationBello, L., Gallucci, M., Fava, M., Carrabba, G., Giussani, C., Acerbi, F., Baratta, P., Songa, V., Conte, V., Branca, V., et al. (2007) · Neurosurgery · doi:10.1227/01.neu.0000249206.58601.de · Cited by 312 · 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
“raphy streamlines using manually drawn ROIs in the brain [435, 67, 476, 385].”
MethodWhat is the role of the uncinate fasciculus? Surgical removal and proper name retrieval
Papagno, C., Miracapillo, C., Casarotti, A., Romero Lauro, L. J., Castellano, A., Falini, A., Casaceli, G., Fava, E., & Bello, L. (2011) · Brain · doi:10.1093/brain/awq283 · Cited by 291 · see citing works
Mapping neuroplastic potential in brain-damaged patients
Herbet, G., Maheu, M., Costi, E., Lafargue, G., & Duffau, H. (2016) · Brain · doi:10.1093/brain/awv394 · Cited by 289 · see citing works
How and how not to correct for CSF-contamination in diffusion MRI
Metzler-Baddeley, C., O'Sullivan, M. J., Bells, S., Pasternak, O., & Jones, D. K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.043 · Cited by 291 · see citing works
Self-citationEluvathingal, T. J., Hasan, K. M., Kramer, L., Fletcher, J. M., & Ewing-Cobbs, L. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm003 · Cited by 288 · see citing works
Martino, J., De Witt Hamer, P. C., Berger, M. S., Lawton, M. T., Arnold, C. M., de Lucas, E. M., & Duffau, H. (2013) · Brain Structure and Function · doi:10.1007/s00429-012-0386-5 · Cited by 280 · see citing works
Forkel, S. J., Thiebaut de Schotten, M., Kawadler, J. M., Dell'Acqua, F., Danek, A., & Catani, M. (2014) · Cortex · doi:10.1016/j.cortex.2012.09.005 · Cited by 248 · see citing works
Self-citationCerebral White Matter Integrity Mediates Adult Age Differences in Cognitive Performance
Madden, D. J., Spaniol, J., Costello, M. C., Bucur, B., White, L. E., Cabeza, R., Davis, S. W., Dennis, N. A., Provenzale, J. M., & Huettel, S. A. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21047 · Cited by 265 · see citing works
Altered cerebellar feedback projections in Asperger syndrome
Catani, M., Jones, D. K., Daly, E., Embiricos, N., Deeley, Q., Pugliese, L., Curran, S., Robertson, D., & Murphy, D. G. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.041 · Cited by 244 · see citing works
Self-citationDamage to Association Fiber Tracts Impairs Recognition of the Facial Expression of Emotion
Philippi, C. L., Mehta, S., Grabowski, T., Adolphs, R., & Rudrauf, D. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.0796-09.2009 · Cited by 238 · 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
Hung, Y., Gaillard, S. L., Yarmak, P., & Arsalidou, M. (2018) · Human Brain Mapping · doi:10.1002/hbm.24232 · Cited by 212 · see citing works
Quantitative tract-based white matter development from birth to age 2 years
Geng, X., Gouttard, S., Sharma, A., Gu, H., Styner, M., Lin, W., Gerig, G., & Gilmore, J. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.057 · Cited by 212 · see citing works
Decreased GABA <sub>B</sub> receptors in the cingulate cortex and fusiform gyrus in Autism
Oblak, A. L., Gibbs, T. T., & Blatt, G. J. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.06858.x · Cited by 203 · see citing works
Delineation of the middle longitudinal fascicle in humans: A quantitative, in vivo, DT-MRI study
Makris, N., Papadimitriou, G. M., Kaiser, J. R., Sorg, S., Kennedy, D. N., & Pandya, D. N. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn124 · Cited by 214 · see citing works
Mapping Structural Connectivity Using Diffusion <scp>MRI</scp> : Challenges and Opportunities
Yeh, C., Jones, D. K., Liang, X., Descoteaux, M., & Connelly, A. (2021) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27188 · Cited by 187 · see citing works
Self-citationReduced Structural Connectivity of a Major Frontolimbic Pathway in Generalized Anxiety Disorder
Tromp, D. P. M., Grupe, D. W., Oathes, D. J., McFarlin, D. R., Hernandez, P. J., Kral, T. R. A., Lee, J. E., Adams, M., Alexander, A. L., & Nitschke, J. B. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.2178 · Cited by 184 · 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
Towards Conceptualizing a Neural Systems-Based Anatomy of Attention-Deficit/Hyperactivity Disorder
Makris, N., Biederman, J., Monuteaux, M. C., & Seidman, L. J. (2009) · Developmental Neuroscience · doi:10.1159/000207492 · Cited by 178 · see citing works
“). The principal connecting fiber pathways are 3 subcomponents of the superior longitudinal fascicle (I, II and III), the cingulum bundle (CB) and the inferior longitudinal fascicle [”
BackgroundMartino, J., De Witt Hamer, P. C., Vergani, F., Brogna, C., de Lucas, E. M., Vázquez‐Barquero, A., García‐Porrero, J. A., & Duffau, H. (2011) · Journal of Anatomy · doi:10.1111/j.1469-7580.2011.01414.x · Cited by 174 · see citing works
Lee, S.-H., Kubicki, M., Asami, T., Seidman, L. J., Goldstein, J. M., Mesholam-Gately, R. I., McCarley, R. W., & Shenton, M. E. (2013) · Schizophrenia Research · doi:10.1016/j.schres.2012.11.029 · Cited by 176 · 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
CASCIO, C. J., GERIG, G., & PIVEN, J. (2007) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/01.chi.0000246064.93200.e8 · Cited by 167 · see citing works
Exploring the Early Organization and Maturation of Linguistic Pathways in the Human Infant Brain
Dubois, J., Poupon, C., Thirion, B., Simonnet, H., Kulikova, S., Leroy, F., Hertz-Pannier, L., & Dehaene-Lambertz, G. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhv082 · Cited by 165 · see citing works
Ameis, S. H., Lerch, J. P., Taylor, M. J., Lee, W., Viviano, J. D., Pipitone, J., Nazeri, A., Croarkin, P. E., Voineskos, A. N., Lai, M.-C., et al. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.15111435 · Cited by 155 · see citing works
The role of diffusion MRI in neuroscience
Assaf, Y., Johansen‐Berg, H., & Thiebaut de Schotten, M. (2019) · NMR in Biomedicine · doi:10.1002/nbm.3762 · Cited by 158 · see citing works
Eng, G. K., Sim, K., & Chen, S.-H. A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.03.002 · Cited by 148 · see citing works
Histological validation of high-resolution DTI in human post mortem tissue
Seehaus, A., Roebroeck, A., Bastiani, M., Fonseca, L., Bratzke, H., Lori, N., Vilanova, A., Goebel, R., & Galuske, R. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00098 · Cited by 149 · see citing works
Hau, J., Sarubbo, S., Perchey, G., Crivello, F., Zago, L., Mellet, E., Jobard, G., Joliot, M., Mazoyer, B. M., Tzourio-Mazoyer, N., et al. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00058 · Cited by 142 · see citing works
“While current tract segmentation approaches rely heavily on a priori knowledge, using set-of-ROIs strategies that place the ROIs around their known terminal areas or areas of passage (Catani and Thiebaut de Schotten, 2008; Zhang et al., 2010), our stem-based virtual dissection results in more extensive IFOFs and UFs.”
InfluentialAltered Functional and Structural Connectivity Networks in Psychogenic Non-Epileptic Seizures
Ding, J.-R., An, D., Liao, W., Li, J., Wu, G.-R., Xu, Q., Long, Z., Gong, Q., Zhou, D., Sporns, O., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063850 · Cited by 132 · see citing works
Diffusion tensor imaging shows white matter tracts between human auditory and visual cortex
Beer, A. L., Plank, T., & Greenlee, M. W. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2715-y · Cited by 124 · see citing works
Abnormal Anatomical Connectivity between the Amygdala and Orbitofrontal Cortex in Conduct Disorder
Passamonti, L., Fairchild, G., Fornito, A., Goodyer, I. M., Nimmo-Smith, I., Hagan, C. C., & Calder, A. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048789 · Cited by 123 · see citing works
Hau, J., Sarubbo, S., Houde, J. C., Corsini, F., Girard, G., Deledalle, C., Crivello, F., Zago, L., Mellet, E., Jobard, G., et al. (2017) · Brain Structure and Function · doi:10.1007/s00429-016-1298-6 · Cited by 121 · see citing works
Tan, G. C. Y., Doke, T. F., Ashburner, J., Wood, N. W., & Frackowiak, R. S. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.018 · Cited by 116 · see citing works
Gold, B. T., Powell, D. K., Xuan, L., Jiang, Y., & Hardy, P. A. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.04.011 · Cited by 115 · see citing works
Gold, B. T., Powell, D. K., Andersen, A. H., & Smith, C. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.036 · Cited by 112 · 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
Keedwell, P. A., Drapier, D., Surguladze, S., Giampietro, V., Brammer, M., & Phillips, M. (2010) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.04.031 · Cited by 106 · see citing works
Neural pathways subserving face-based mentalizing
Yordanova, Y. N., Duffau, H., & Herbet, G. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1388-0 · Cited by 102 · see citing works
Damage to white matter bottlenecks contributes to language impairments after left hemispheric stroke
Griffis, J. C., Nenert, R., Allendorfer, J. B., & Szaflarski, J. P. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.02.019 · Cited by 87 · see citing works
Dalby, R. B., Frandsen, J., Chakravarty, M. M., Ahdidan, J., Sørensen, L., Rosenberg, R., Videbech, P., & Østergaard, L. (2010) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2010.06.008 · Cited by 96 · see citing works
Perceptual awareness and active inference
Parr, T., Corcoran, A. W., Friston, K. J., & Hohwy, J. (2019) · Neuroscience of Consciousness · doi:10.1093/nc/niz012 · Cited by 91 · see citing works
Robust and efficient linear registration of white-matter fascicles in the space of streamlines
Garyfallidis, E., Ocegueda, O., Wassermann, D., & Descoteaux, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.016 · Cited by 84 · see citing works
Chen, G., Guo, Y., Zhu, H., Kuang, W., Bi, F., Ai, H., Gu, Z., Huang, X., Lui, S., & Gong, Q. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.03.011 · Cited by 81 · see citing works
Canu, E., Kostić, M., Agosta, F., Munjiza, A., Ferraro, P. M., Pesic, D., Copetti, M., Peljto, A., Tosevski, D. L., & Filippi, M. (2015) · Journal of Neurology · doi:10.1007/s00415-015-7701-z · Cited by 82 · see citing works
Fiber tractography reveals disruption of temporal lobe white matter tracts in schizophrenia
Phillips, O. R., Nuechterlein, K. H., Clark, K. A., Hamilton, L. S., Asarnow, R. F., Hageman, N. S., Toga, A. W., & Narr, K. L. (2009) · Schizophrenia Research · doi:10.1016/j.schres.2008.10.019 · Cited by 80 · see citing works
Yang, J. Y.-M., Yeh, C.-H., Poupon, C., & Calamante, F. (2021) · Physics in Medicine & Biology · doi:10.1088/1361-6560/ac0d90 · Cited by 80 · see citing works
Microstructural alteration of the anterior cingulum is associated with apathy in Alzheimer disease
Kim, J. W., Lee, D. Y., Choo, I. H., Seo, E. H., Kim, S. G., Park, S. Y., & Woo, J. I. (2011) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e31820dcc73 · Cited by 79 · see citing works
Lynch, K. M., Cabeen, R. P., Toga, A. W., & Clark, K. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116672 · Cited by 79 · see citing works
Sarkar, S., Craig, M. C., Dell’Acqua, F., O’Connor, T. G., Catani, M., Deeley, Q., Glover, V., & Murphy, D. G. M. (2014) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2014.903336 · Cited by 70 · see citing works
Self-citationGender Influence on White Matter Microstructure: A Tract-Based Spatial Statistics Analysis
Kanaan, R. A., Chaddock, C., Allin, M., Picchioni, M. M., Daly, E., Shergill, S. S., & McGuire, P. K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091109 · Cited by 59 · see citing works
Young, J. M., Vandewouw, M. M., Mossad, S. I., Morgan, B. R., Lee, W., Smith, M. L., Sled, J. G., & Taylor, M. J. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101855 · Cited by 57 · see citing works
Zemmoura, I., Serres, B., Andersson, F., Barantin, L., Tauber, C., Filipiak, I., Cottier, J.-P., Venturini, G., & Destrieux, C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.016 · Cited by 56 · see citing works
Extraction of prefronto-amygdalar pathways by combining probability maps
Bracht, T., Tüscher, O., Schnell, S., Kreher, B., Rüsch, N., Glauche, V., Lieb, K., Ebert, D., Il'yasov, K. A., Hennig, J., et al. (2009) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2009.05.001 · Cited by 55 · see citing works
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Bajada, C. J., Schreiber, J., & Caspers, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.070 · Cited by 55 · see citing works
Tractography in the presence of multiple sclerosis lesions
Lipp, I., Parker, G. D., Tallantyre, E. C., Goodall, A., Grama, S., Patitucci, E., Heveron, P., Tomassini, V., & Jones, D. K. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116471 · Cited by 51 · see citing works
Self-citationNa, K.-S., Won, E., Kang, J., Kim, A., Choi, S., Tae, W.-S., Kim, Y.-K., Lee, M.-S., Joe, S.-H., & Ham, B.-J. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.04.030 · Cited by 50 · see citing works
Advancements in diffusion MRI tractography for neurosurgery
Kamagata, K., Andica, C., Uchida, W., Takabayashi, K., Saito, Y., Lukies, M., Hagiwara, A., Fujita, S., Akashi, T., Wada, A., et al. (2024) · Investigative Radiology · doi:10.1097/rli.0000000000001015 · Cited by 50 · see citing works
O'Sullivan, M. (2010) · Stroke · doi:10.1161/strokeaha.110.595314 · Cited by 48 · see citing works
Cavedo, E., Lista, S., Rojkova, K., Chiesa, P. A., Houot, M., Brueggen, K., Blautzik, J., Bokde, A. L. W., Dubois, B., Barkhof, F., et al. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.05.048 · Cited by 40 · see citing works
Toller, G., Mandelli, M. L., Cobigo, Y., Rosen, H. J., Kramer, J. H., Miller, B. L., Gorno-Tempini, M. L., & Rankin, K. P. (2022) · NeuroImage: Clinical · doi:10.1016/j.nicl.2022.102994 · Cited by 23 · see citing works
Ulugut, H., Trieu, C., Groot, C., van ’t Hooft, J. J., Tijms, B. M., Scheltens, P., Ossenkoppele, R., Barkhof, F., van den Heuvel, O. A., & Pijnenburg, Y. A. L. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.05.028 · Cited by 16 · see citing works
White-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
Comparing brain connections in different species using diffusion weighted imaging
Rushworth, M. F. S., Boorman, E., & Mars, R. B. (2009) · Diffusion MRI · doi:10.1016/b978-0-12-374709-9.00020-1 · Cited by 5 · see citing works
- Authors
- Catani, M., Howard, R. J., Pajevic, S., & Jones, D. K.
- Affiliations
- University of Perugia (IT)
- National Institutes of Health (US)
- Leicester Royal Infirmary (GB)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2002-09
- Volume
- 17
- Issue
- 1
- Pages
- 77-94
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2110798659
- Cited by
- 1,637
- References
- 2
- Citations by year
- 2026: 22 · 2025: 41 · 2024: 36 · 2023: 45 · 2022: 71 · 2021: 79 · 2020: 81 · 2019: 92 · 2018: 73 · 2017: 98 · 2016: 88 · 2015: 86 · 2014: 72 · 2013: 101 · 2012: 83
- FWCI
- 20.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust
- National Institute of Child Health and Human Development
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
- Health Sciences › Medicine › Anatomy › Medical and Biological Sciences
- Keywords
- diffusion tensor tractography, arcuate fasciculus, inferior longitudinal fasciculus, uncinate fasciculus, cingulum, corpus callosum, fornix, internal capsule, anterior commissure, white matter anatomy
- MeSH terms
- Adult, Algorithms, Brain, Corpus Callosum, Diffusion, Frontal Lobe, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Microcomputers, Nerve Fibers, Neural Pathways, Occipital Lobe, Anisotropy
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.
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