On the cortical connectivity in the macaque brain: a comparison of diffusion tractography and histological tracing data
Open accessAbstract
Diffusion-weighted magnetic resonance imaging (DW-MRI) tractography is a non-invasive tool to probe neural connections and the structure of the white matter. It has been applied successfully in studies of neurological disorders and normal connectivity. Recent work has revealed that tractography produces a high incidence of false-positive connections, often from "bottleneck" white matter configurations. The rich literature in histological connectivity analysis studies in the macaque monkey enables quantitative evaluation of the performance of tractography algorithms. In this study, we use the intricate connections of frontal, cingulate, and parietal areas, well established by the anatomical literature, to derive a symmetrical histological connectivity matrix composed of 59 cortical areas. We evaluate the performance of fifteen diffusion tractography algorithms, including global, deterministic, and probabilistic state-of-the-art methods for the connectivity predictions of 1711 distinct pairs of areas, among which 680 are reported connected by the literature. The diffusion connectivity analysis was performed on a different ex-vivo macaque brain, acquired using multi-shell DW-MRI protocol, at high spatial and angular resolutions. Across all tested algorithms, the true-positive and true-negative connections were dominant over false-positive and false-negative connections, respectively. Moreover, three-quarters of streamlines had endpoints location in agreement with histological data, on average. Furthermore, probabilistic streamline tractography algorithms show the best performances in predicting which areas are connected. Altogether, we propose a method for quantitative evaluation of tractography algorithms, which aims at improving the sensitivity and the specificity of diffusion-based connectivity analysis. Overall, those results confirm the usefulness of tractography in predicting connectivity, although errors are produced. Many of the errors result from bottleneck white matter configurations near the cortical grey matter and should be the target of future implementation of methods.
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Animal studies using invasive tract-tracing techniques have shown good agreement between NOS and biological connectivity measured using ex vivo tract-tracing data.
“Several studies conducted on animals using invasive tract-tracing techniques have shown good agreement between the NOS and the biological connectivity as measured using ex vivo tract-tracing data (Delettre et al., 2019; Girard et al., 2020; van den Heuvel et al., 2015a).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Girard et al., 2020
The Conclusion reports good agreement between ex-vivo macaque tractography and connections identified by histological tracing. But §4.5 says the comparison was of binary connectivity, not histological cell counts or connection strength; it therefore does not establish good quantitative agreement between the number of streamlines (NOS) and biological connectivity. (LLM, conf=0.85)
Experimental — accuracy not yet measuredNeural tracer data is the gold standard for mesoscale connectivity studies in a number of model organisms.
“Neural tracer data is the gold standard for mesoscale connectivity studies in a number of model organisms (Bota et al., 2015; Girard et al., 2020; Jbabdi et al., 2015; Markov et al., 2014; 2013; Oh et al., 2014).”
From The role of spatial embedding in mouse brain networks constructed from diffusion tractography and tracer injections (2021) · cites this paper as Girard et al., 2020
Girard et al. (2020) rigorously benchmarked 15 tractography algorithms and regularization approaches against tracer data in macaque cortex, but did not present analysis of downstream network measures.
“A recent study by Girard et al. (2020) rigorously benchmarked 15 tractography algorithms and a number of regularization approaches such as the “anatomically constrained tractography” framework (Smith et al., 2012) and the SIFT2 post-processing algorithm (Smith et al., 2015) against tracer data in the macaque cortex, though it did not present analysis of downstream network measures.”
From The role of spatial embedding in mouse brain networks constructed from diffusion tractography and tracer injections (2021) · cites this paper as Girard et al. (2020)
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An introduction to ROC analysis
Fawcett, T. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.10.010 · Cited by 21,879 · see citing works
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.015 · Cited by 8,868 · see citing works
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628 · see citing works
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173 · see citing works
Leys, C., Ley, C., Klein, O., Bernard, P., & Licata, L. (2013) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2013.03.013 · Cited by 4,147 · see citing works
MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
Tournier, J.-D., Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., Christiaens, D., Jeurissen, B., Yeh, C.-H., & Connelly, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116137 · Cited by 2,974 · see citing works
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,479 · see citing works
Tournier, J., Calamante, F., & Connelly, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.016 · Cited by 2,191 · 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
Alternatives to the Median Absolute Deviation
Rousseeuw, P. J., & Croux, C. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476408 · Cited by 1,962 · see citing works
Denoising of diffusion MRI using random matrix theory
Veraart, J., Novikov, D. S., Christiaens, D., Ades-aron, B., Sijbers, J., & Fieremans, E. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.016 · Cited by 1,905 · see citing works
Medical Image Computing and Computer-Assisted Intervention
Yang, G., Hawkes, D. J., Rueckert, D., Noble, J. A., & Taylor, C. (2009) · Research Explorer (The University of Manchester) · Cited by 1,591 · see citing works
Alternatives to the Median Absolute Deviation
Rousseeuw, P. J., & Croux, C. (1993) · Journal of the American Statistical Association · doi:10.2307/2291267 · Cited by 1,489 · see citing works
Jeurissen, B., Tournier, J.-D., Dhollander, T., Connelly, A., & Sijbers, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.061 · Cited by 1,484 · see citing works
The origin of corticospinal projections from the premotor areas in the frontal lobe
Dum, R., & Strick, P. (1991) · Journal of Neuroscience · doi:10.1523/jneurosci.11-03-00667.1991 · Cited by 1,447 · see citing works
Dipy, a library for the analysis of diffusion MRI data
Garyfallidis, E., Brett, M., Amirbekian, B., Rokem, A., van der Walt, S., Descoteaux, M., Nimmo-Smith, I., & Contributors, D. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00008 · Cited by 1,371 · see citing works
Self-citationTractography-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
Self-citationSmith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.005 · Cited by 1,216 · see citing works
Adaptive non‐local means denoising of MR images with spatially varying noise levels
Manjón, J. V., Pierrick Coupé, A., Martí‐Bonmatí, L., Collins, D. L., & Robles, M. (2009) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22003 · Cited by 1,088 · see citing works
The Rhesus Monkey Brain in Stereotaxic Coordinates
Paxinos, G., Huang, X., & Toga, A. W. (1999) · Research Online (University of Wollongong) · Cited by 1,070 · see citing works
Petrides, M., & Pandya, D. N. (1999) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1999.00518.x · Cited by 1,068 · see citing works
Bruce, C. J., Goldberg, M. E., Bushnell, M. C., & Stanton, G. B. (1985) · Journal of Neurophysiology · doi:10.1152/jn.1985.54.3.714 · Cited by 926 · see citing works
Diffusion tensor imaging and beyond
Tournier, J., Mori, S., & Leemans, A. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22924 · Cited by 921 · 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
Twenty‐five pitfalls in the analysis of diffusion MRI data
Jones, D. K., & Cercignani, M. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1543 · Cited by 827 · see citing works
Uğurbil, K., Xu, J., Auerbach, E. J., Moeller, S., Vu, A. T., Duarte-Carvajalino, J. M., Lenglet, C., Wu, X., Schmitter, S., Van de Moortele, P. F., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.012 · Cited by 812 · see citing works
A cytoarchitectural study of the prefrontal area of the macaque monkey
Walker, A. E. (1940) · The Journal of Comparative Neurology · doi:10.1002/cne.900730106 · Cited by 803 · see citing works
Smith, R. E., Tournier, J., Calamante, F., & Connelly, A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.092 · Cited by 758 · see citing works
SIFT: Spherical-deconvolution informed filtering of tractograms
Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.049 · Cited by 752 · see citing works
Intrinsic connections and architectonics of posterior parietal cortex in the rhesus monkey
Pandya, D., & Seltzer, B. (1982) · The Journal of comparative neurology · doi:10.1002/cne.902040208 · Cited by 730 · 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
Johnson, P. B., Ferraina, S., Bianchi, L., & Caminiti, R. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.2.102 · Cited by 705 · see citing works
Self-citationDeterministic and probabilistic tractography based on complex fibre orientation distributions
Descoteaux, M., Deriche, R., Knosche, T. R., & Anwander, A. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2004424 · Cited by 698 · see citing works
Self-citationAnalysis of partial volume effects in diffusion‐tensor MRI
Alexander, A. L., Hasan, K. M., Lazar, M., Tsuruda, J. S., & Parker, D. L. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1105 · Cited by 695 · see citing works
Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex
Johansen‐Berg, H., Behrens, T. E. J., Robson, M. D., Drobnjak, I., Rushworth, M. F. S., Brady, J. M., Smith, S. M., Higham, D. J., & Matthews, P. M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403743101 · Cited by 684 · see citing works
Architectonic subdivision of the orbital and medial prefrontal cortex in the macaque monkey
Carmichael, S. T., & Price, J. L. (1994) · Journal of Comparative Neurology · doi:10.1002/cne.903460305 · Cited by 656 · see citing works
Parietal cortex neurons of the monkey related to the visual guidance of hand movement
Taira, M., Mine, S., Georgopoulos, A. P., Murata, A., & Sakata, H. (1990) · Experimental Brain Research · doi:10.1007/bf00232190 · Cited by 655 · see citing works
DTI Tractography of the Human Brain's Language Pathways
Glasser, M. F., & Rilling, J. K. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn011 · Cited by 654 · see citing works
Monkey to human comparative anatomy of the frontal lobe association tracts
Thiebaut de Schotten, M., Dell’Acqua, F., Valabregue, R., & Catani, M. (2012) · Cortex · doi:10.1016/j.cortex.2011.10.001 · Cited by 632 · 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
Blatt, G. J., Andersen, R. A., & Stoner, G. R. (1990) · The Journal of Comparative Neurology · doi:10.1002/cne.902990404 · Cited by 611 · see citing works
Cingulate cortex of the rhesus monkey: I. Cytoarchitecture and thalamic afferents
Vogt, B. A., Pandya, D. N., & Rosene, D. L. (1987) · Journal of Comparative Neurology · doi:10.1002/cne.902620207 · Cited by 604 · 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
Self-citationArchitecture of superior and mesial area 6 and the adjacent cingulate cortex in the macaque monkey
Matelli, M., Luppino, G., & Rizzolatti, G. (1991) · The Journal of Comparative Neurology · doi:10.1002/cne.903110402 · Cited by 555 · see citing works
Lo, C. Z., Wang, P.-N., Chou, K., Wang, J., Yong He, A., & Lin, C. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4136-10.2010 · Cited by 538 · see citing works
Rautiainen, M., Korhonen, T., Mutafungwa, E., Ovaska, E., Katasonov, A., Evesti, A., Ailisto, H. J., Quigley, A. J., Häkkilä, J., Milić-Frayling, N., et al. (2012) · Lecture notes in computer science · Cited by 522 · see citing works
Patterns of cytochrome oxidase activity in the frontal agranular cortex of the macaque monkey
Matelli, M., Luppino, G., & Rizzolatti, G. (1985) · Behavioural Brain Research · doi:10.1016/0166-4328(85)90068-3 · Cited by 519 · see citing works
Retrograde axonal transport of protein
Kristensson, K., & Olsson, Y. (1971) · Brain Research · doi:10.1016/0006-8993(71)90044-8 · Cited by 519 · see citing works
Mars, R. B., Jbabdi, S., Sallet, J., O’Reilly, J. X., Croxson, P. L., Olivier, E., Noonan, M. P., Bergmann, C., Mitchell, A. S., Baxter, M. G., et al. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5102-10.2011 · Cited by 472 · see citing works
Active Surface Approach for Extraction of the Human Cerebral Cortex from MRI
Eskildsen, S. F., & Østergaard, L. R. (2006) · Lecture notes in computer science · doi:10.1007/11866763_101 · Cited by 450 · see citing works
Self-citationA Combined MRI and Histology Atlas of the Rhesus Monkey Brain: In Stereotaxic Coordinates
Saleem, K. S., & Logothetis, N. K. (2012) · Max Planck Digital Library · Cited by 446 · see citing works
Two new fluorescent retrograde neuronal tracers which are transported over long distances
Bentivoglio, M., Kuypers, H. G. J. M., Catsman‐Berrevoets, C. E., Loewe, H., & Dann, O. (1980) · Neuroscience Letters · doi:10.1016/0304-3940(80)90208-6 · Cited by 442 · see citing works
Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison
Panagiotaki, E., Schneider, T., Siow, B., Hall, M. G., Lythgoe, M. F., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.081 · Cited by 422 · see citing works
Reveley, C., Seth, A. K., Pierpaoli, C., Silva, A. C., Yu, D., Saunders, R. C., Leopold, D. A., & Ye, F. Q. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418198112 · Cited by 417 · 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
Ciccarelli, O., Catani, M., Johansen‐Berg, H., Clark, C. A., & Thompson, A. J. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70163-7 · Cited by 408 · see citing works
Cortical connections of the macaque anterior intraparietal (AIP) area
Borra, E., Belmalih, A., Calzavara, R., Gerbella, M., Murata, A., Rozzi, S., & Luppino, G. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm146 · Cited by 402 · see citing works
Short Report: Reaction Time Analysis with Outlier Exclusion: Bias Varies with Sample Size
Miller, J. O. (1991) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/14640749108400962 · Cited by 388 · see citing works
Donahue, 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
Self-citationPreuss, T. M., & Goldman‐Rakic, P. S. (1991) · The Journal of Comparative Neurology · doi:10.1002/cne.903100402 · Cited by 359 · see citing works
Conserved and variable architecture of human white matter connectivity
Bassett, D. S., Brown, J. A., Deshpande, V. S., Carlson, J. M., & Grafton, S. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.006 · Cited by 356 · see citing works
Heterogeneity of extrastriate visual areas and multiple parietal areas in the Macaque monkey
Colby, C. L., & Duhamel, J. (1991) · Neuropsychologia · doi:10.1016/0028-3932(91)90008-v · Cited by 354 · 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
Towards quantitative connectivity analysis: reducing tractography biases
Girard, G., Whittingstall, K., Deriche, R., & Descoteaux, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.074 · Cited by 324 · see citing works
Self-citationChallenges 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
QuickBundles, a Method for Tractography Simplification
Garyfallidis, E., Brett, M., Correia, M., Williams, G. B., & Nimmo‐Smith, I. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00175 · Cited by 315 · see citing works
Shu, N., Liu, Y., Li, K., Duan, Y., Wang, J., Yu, C., Dong, H., Ye, J., & Yong He, A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr039 · Cited by 315 · see citing works
Global fiber reconstruction becomes practical
Reisert, M., Mader, I., Anastasopoulos, C., Weigel, M., Schnell, S., & Kiselev, V. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.016 · Cited by 312 · see citing works
Garyfallidis, E., Côté, M.-A., Rheault, F., Sidhu, J., Hau, J., Petit, L., Fortin, D., Cunanne, S., & Descoteaux, M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.015 · Cited by 279 · see citing works
Self-citationWiest-Daesslé, N., Prima, S., Pierrick Coupé, A., Morrissey, S., & Barillot, C. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85990-1_21 · Cited by 276 · see citing works
The effects of SIFT on the reproducibility and biological accuracy of the structural connectome
Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.004 · Cited by 266 · see citing works
Marconi, B. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.6.513 · Cited by 261 · 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-citationEvaluation and statistical inference for human connectomes
Pestilli, F., Yeatman, J. D., Rokem, A., Kay, K. N., & Wandell, B. A. (2014) · Nature Methods · doi:10.1038/nmeth.3098 · Cited by 259 · see citing works
COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography
Daducci, A., Dal Palu, A., Lemkaddem, A., & Thiran, J.-P. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2352414 · Cited by 255 · see citing works
Self-citationA Bayesian framework for global tractography
Jbabdi, S., Woolrich, M. W., Andersson, J., & Behrens, T. E. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.039 · Cited by 251 · see citing works
Non-invasive mapping of corticofugal fibres from multiple motor areas—relevance to stroke recovery
Newton, J. M., Ward, N., Parker, G. J. M., Deichmann, R., Alexander, D. C., Friston, K. J., & Frackowiak, R. S. J. (2006) · Brain · doi:10.1093/brain/awl106 · Cited by 241 · see citing works
Donahue, K. M., Krouwer, H. G. J., Rand, S. D., Pathak, A. P., Marszalkowski, C. S., Censky, S. C., & Prost, R. W. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200006)43:6 · Cited by 241 · 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
Self-citationDauguet, 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
Galletti, C., Fattori, P., Battaglini, P. P., Shipp, S. D., & Zeki, S. (1996) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1996.tb01165.x · Cited by 229 · see citing works
Tractometer: Towards validation of tractography pipelines
Côté, M.-A., Girard, G., Boré, A., Garyfallidis, E., Houde, J.-C., & Descoteaux, M. (2013) · Medical Image Analysis · doi:10.1016/j.media.2013.03.009 · Cited by 228 · see citing works
Self-citationArchitecture and neurocytology of monkey cingulate gyrus
Vogt, B. A., Vogt, L., Farber, N. B., & Bush, G. (2005) · Journal of Comparative Neurology · doi:10.1002/cne.20512 · Cited by 223 · see citing works
A diffusion MRI tractography connectome of the mouse brain and comparison with neuronal tracer data
Calabrese, E., Badea, A., Cofer, G., Qi, Y., & Johnson, G. A. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv121 · Cited by 221 · see citing works
Dyrby, T. B., Baaré, W. F. C., Alexander, D. C., Jelsing, J., Garde, E., & Søgaard, L. V. (2010) · Human Brain Mapping · doi:10.1002/hbm.21043 · Cited by 216 · see citing works
Self-citationJbabdi, 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
A diffusion tensor MRI atlas of the postmortem rhesus macaque brain
Calabrese, E., Badea, A., Coe, C. L., Lubach, G. R., Shi, Y., Styner, M. A., & Johnson, G. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.072 · Cited by 205 · see citing works
Yu, C., Li, K. C., Xuan, Y., Ji, X., & Qin, W. (2005) · European Journal of Radiology · doi:10.1016/j.ejrad.2005.04.010 · Cited by 205 · see citing works
Diffusion tensor magnetic resonance imaging tractography in cognitive disorders
Catani, M. (2006) · Current Opinion in Neurology · doi:10.1097/01.wco.0000247610.44106.3f · Cited by 202 · see citing works
Histological validation of diffusion MRI fiber orientation distributions and dispersion
Schilling, K. G., Janve, V., Gao, Y., Stepniewska, I., Landman, B. A., & Anderson, A. W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.046 · Cited by 195 · see citing works
Sotiropoulos, S. N., Moeller, S., Jbabdi, S., Xu, J., Andersson, J., Auerbach, E. J., Yacoub, E. S., Feinberg, D. A., Setsompop, K., Wald, L. L., et al. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24623 · Cited by 185 · see citing works
Fast Non Local Means Denoising for 3D MR Images
Coupé, P., Yger, P., & Barillot, C. (2006) · Lecture notes in computer science · doi:10.1007/11866763_5 · Cited by 180 · see citing works
Leergaard, T. B., White, N. S., de Crespigny, A. J., Bolstad, I., D'Arceuil, H. E., Bjaalie, J. G., & Dale, A. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008595 · Cited by 180 · see citing works
Estimation of fiber orientation and spin density distribution by diffusion deconvolution
Yeh, F.-C. F., Wedeen, V. J., & Tseng, W. I. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.087 · Cited by 167 · see citing works
Subdivisions and connectional networks of the lateral prefrontal cortex in the macaque monkey
Saleem, K. S., Miller, B. D., & Price, J. L. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23498 · Cited by 160 · see citing works
Connectivity Fingerprints: From Areal Descriptions to Abstract Spaces
Mars, R., Passingham, R., & Jbabdi, S. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.08.009 · Cited by 159 · see citing works
Gibbs tracking: A novel approach for the reconstruction of neuronal pathways
Kreher, B., Mader, I., & Kiselev, V. G. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21749 · Cited by 157 · see citing works
Robust clustering of massive tractography datasets
Guevara, P., Poupon, C., Rivière, D., Cointepas, Y., Descoteaux, M., Thirion, B., & Mangin, J.-F. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.028 · Cited by 157 · see citing works
Self-citationGlobal tractography of multi-shell diffusion-weighted imaging data using a multi-tissue model
Christiaens, D., Reisert, M., Dhollander, T., Sunaert, S., Suetens, P., & Maes, F. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.008 · Cited by 152 · see citing works
DTI-MR tractography of white matter damage in stroke patients with neglect
Urbanski, M., de Schotten, M. T., Rodrigo, S., Oppenheim, C., Touzé, E., Méder, J.-F., Moreau, K., Loeper-Jeny, C., Dubois, B., & Bartolomeo, P. (2010) · Experimental Brain Research · doi:10.1007/s00221-010-2496-8 · Cited by 142 · see citing works
Belmalih, A., Borra, E., Contini, M., Gerbella, M., Rozzi, S., & Luppino, G. (2009) · Journal of Comparative Neurology · doi:10.1002/cne.21892 · Cited by 142 · see citing works
Confirmation of a gyral bias in diffusion MRI fiber tractography
Schilling, K. G., Gao, Y., Janve, V. A., Stepniewska, I., Landman, B. A., & Anderson, A. W. (2017) · Human Brain Mapping · doi:10.1002/hbm.23936 · Cited by 140 · see citing works
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Daducci, A., Dal Palú, A., Descoteaux, M., & Thiran, J.-P. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00247 · Cited by 138 · see citing works
Self-citationvan den Heuvel, M. P., de Reus, M. A., Feldman Barrett, L., Scholtens, L. H., Coopmans, F. M. T., Schmidt, R., Preuss, T. M., Rilling, J. K., & Li, L. (2015) · Human Brain Mapping · doi:10.1002/hbm.22828 · Cited by 131 · see citing works
Validation of tractography: Comparison with manganese tracing
Knösche, T. R., Anwander, A., Liptrot, M., & Dyrby, T. B. (2015) · Human Brain Mapping · doi:10.1002/hbm.22902 · Cited by 127 · see citing works
Self-citationPre-surgical planning and MR-tractography utility in brain tumour resection
Romano, A., D’Andrea, G., Minniti, G. C., Mastronardi, L., Ferrante, L., Fantozzi, L. M., & Bozzao, A. (2009) · European Radiology · doi:10.1007/s00330-009-1483-6 · Cited by 127 · see citing works
Connectional Heterogeneity of the Ventral Part of the Macaque Area 46
Gerbella, M., Borra, E., Tonelli, S., Rozzi, S., & Luppino, G. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs096 · Cited by 127 · see citing works
Heidemann, R. M., Anwander, A., Feiweier, T., Knösche, T. R., & Turner, R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.081 · Cited by 125 · see citing works
A resource for the detailed 3D mapping of white matter pathways in the marmoset brain
Liu, C., Ye, F. Q., Newman, J. D., Szczupak, D., Tian, X., Yen, C. C., Majka, P., Glen, D., Rosa, M. G. P., Leopold, D. A., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-019-0575-0 · Cited by 123 · see citing works
Luppino, G., Hamed, S. B., Gamberini, M., Matelli, M., & Galletti, C. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04149.x · Cited by 122 · 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
Self-citationCytoarchitectural characteristic of the frontal eye fields in macaque monkeys
Stanton, G. B., Deng, S. ‐., Goldberg, E. M., & McMullen, N. T. (1989) · The Journal of Comparative Neurology · doi:10.1002/cne.902820308 · Cited by 118 · see citing works
Borra, E., Gerbella, M., Rozzi, S., & Luppino, G. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1745-11.2011 · Cited by 115 · see citing works
Interactive Diffusion Tensor Tractography Visualization for Neurosurgical Planning
Golby, A. J., Kindlmann, G., Norton, I. H., Yarmarkovich, A., Pieper, S. D., & Kikinis, R. (2010) · Neurosurgery · doi:10.1227/neu.0b013e3182061ebb · Cited by 113 · see citing works
The Statistical Neuroanatomy of Frontal Networks in the Macaque
Averbeck, B. B., & Seo, M. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000050 · Cited by 112 · see citing works
Mapping Connections in Humans and Non-Human Primates
Essen, D. C. V., Jbabdi, S., Sotiropoulos, S. N., Chen, C., Dikranian, K. T., Coalson, T., Harwell, J., Behrens, T. E. J., & Glasser, M. F. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-396460-1.00016-0 · Cited by 107 · see citing works
Surface-enhanced tractography (SET)
St‐Onge, E., Daducci, A., Girard, G., & Descoteaux, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.036 · Cited by 106 · see citing works
Self-citationTakemura, H., Caiafa, C. F., Wandell, B. A., & Pestilli, F. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004692 · Cited by 106 · see citing works
A Novel Global Tractography Algorithm Based on an Adaptive Spin Glass Model
Fillard, P., Poupon, C., & Mangin, J. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04268-3_114 · Cited by 105 · see citing works
Common misconceptions, hidden biases and modern challenges of dMRI tractography
Rheault, F., Poulin, P., Caron, A. V., St‐Onge, E., & Descoteaux, M. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab6aad · Cited by 105 · see citing works
Self-citationValidation of High-Resolution Tractography Against<i>In Vivo</i>Tracing in the Macaque Visual Cortex
Azadbakht, H., Parkes, L. M., Haroon, H. A., Augath, M., Logothetis, N. K., de Crespigny, A., D'Arceuil, H. E., & Parker, G. J. M. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu326 · Cited by 103 · see citing works
Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?
Schilling, K., Gao, Y., Janve, V., Stepniewska, I., Landman, B. A., & Anderson, A. W. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3787 · Cited by 102 · see citing works
Li, L., Rilling, J. K., Preuss, T. M., Glasser, M. F., & Hu, X. P. (2011) · Human Brain Mapping · doi:10.1002/hbm.21332 · Cited by 98 · see citing works
Lin, X., Tench, C. R., Morgan, P. S., Niepel, G., & Constantinescu, C. S. (2005) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2005.04.019 · Cited by 90 · see citing works
Validation strategies for the interpretation of microstructure imaging using diffusion MRI
Dyrby, T. B., Innocenti, G. M., Bech, M., & Lundell, H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.049 · Cited by 87 · see citing works
Self-citationBundle‐specific tractography with incorporated anatomical and orientational priors
Rheault, F., St-Onge, E., Sidhu, J., Maier-Hein, K. H., Tzourio-mazoyer, N., Petit, L., & Descoteaux, M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.018 · Cited by 87 · see citing works
Self-citationA generalised framework for super-resolution track-weighted imaging
Calamante, F., Tournier, J., Smith, R. E., & Connelly, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.099 · Cited by 86 · see citing works
Topographic organization in the brain: searching for general principles
Patel, G. H., Kaplan, D. M., & Snyder, L. H. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.03.008 · Cited by 82 · see citing works
Yeh, C., Smith, R. E., Liang, X., Calamante, F., & Connelly, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.047 · Cited by 80 · see citing works
MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation
Sherbondy, A. J., Rowe, M. C., & Alexander, D. C. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15705-9_23 · Cited by 75 · see citing works
Caminiti, R., Borra, E., Visco‐Comandini, F., Battaglia‐Mayer, A., Averbeck, B. B., & Luppino, G. (2017) · eNeuro · doi:10.1523/eneuro.0306-16.2017 · Cited by 74 · see citing works
Self-citationMangin, J., Poupon, C., Cointepas, Y., Rivière, D., Orfanos, D. P., Clark, C., Régis, J. M., & Bihan, D. L. (2002) · NMR in Biomedicine · doi:10.1002/nbm.780 · Cited by 73 · see citing works
Aydogan, D. B., Jacobs, R., Dulawa, S., Thompson, S. L., Francois, M. C., Toga, A. W., Dong, H., Knowles, J. A., & Shi, Y. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1663-8 · Cited by 72 · see citing works
A population-based atlas of the human pyramidal tract in 410 healthy participants
Chenot, Q., Tzourio‐Mazoyer, N., Rheault, F., Descoteaux, M., Crivello, F., Zago, L., Mellet, E., Jobard, G., Joliot, M., Mazoyer, B. M., et al. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1798-7 · Cited by 67 · see citing works
Self-citationThe average pathlength map: A diffusion MRI tractography-derived index for studying brain pathology
Pannek, K., Mathias, J. L., Bigler, E. D., Brown, G. C., Taylor, J. D., & Rose, S. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.010 · Cited by 63 · see citing works
Ax<scp>T</scp>ract: Toward microstructure informed tractography
Girard, G., Daducci, A., Petit, L., Thiran, J., Whittingstall, K., Deriche, R., Wassermann, D., & Descoteaux, M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23741 · Cited by 62 · see citing works
Self-citationIsotropic non-white matter partial volume effects in constrained spherical deconvolution
Roine, T., Jeurissen, B., Perrone, D., Aelterman, J., Leemans, A., Philips, W. R., & Sijbers, J. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00028 · Cited by 61 · see citing works
Delettre, C., Messé, A., Dell, L.-A., Foubet, O., Heuer, K., Larrat, B., Meriaux, S., Mangin, J.-F., Reillo, I., de Juan Romero, C., et al. (2019) · Network Neuroscience · doi:10.1162/netn_a_00098 · Cited by 55 · see citing works
Language Without Speech: Segregating Distinct Circuits in the Human Brain
Finkl, T., Hahne, A., Friederici, A. D., Gerber, J. C., Mürbe, D., & Anwander, A. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz128 · Cited by 53 · see citing works
MesoFT: Unifying Diffusion Modelling and Fiber Tracking
Reisert, M., Kiselev, V. G., Dihtal, B., Kellner, E., & Novikov, D. S. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10443-0_26 · Cited by 51 · see citing works
Active delineation of Meyer’s loop using oriented priors through MAGNEtic Tractography (MAGNET)
Chamberland, M., Scherrer, B., Prabhu, S., Madsen, J., Fortin, D., Whittingstall, K., Descoteaux, M., & Warfield, S. (2016) · Human Brain Mapping · doi:10.1002/hbm.23399 · Cited by 49 · see citing works
Self-citationSarubbo, S., Petit, L., BENEDICTIS, A. D., Chioffi, F., Ptito, M., & Dyrby, T. B. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01856-2 · Cited by 48 · see citing works
Self-citationSchilling, 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 45 · see citing works
Sparse wars: A survey and comparative study of spherical deconvolution algorithms for diffusion MRI
Canales-Rodríguez, E. J., Legarreta, J. H., Pizzolato, M., Rensonnet, G., Girard, G., Rafael‐Patiño, J., Baraković, M., Romascano, D., Alemán‐Gómez, Y., Raduà, J., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.071 · Cited by 44 · see citing works
Self-citationCheng, J., Rachid Deriche, B., Jiang, T., Shen, D. G., & Yap, P. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.062 · Cited by 42 · see citing works
Validation of structural brain connectivity networks: The impact of scanning parameters
Ambrosen, K. S., Eskildsen, S. F., Hinne, M., Krug, K., Lundell, H., Schmidt, M. N., van Gerven, M. A. J., Mørup, M., & Dyrby, T. B. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116207 · Cited by 40 · see citing works
Self-citationSchlag, J., & Schlag-Rey, M. (1987) · Experimental Brain Research · doi:10.1007/bf00248812 · Cited by 39 · see citing works
A convex optimization framework for global tractography
Daducci, A., Palù, A. D., Lemkaddem, A., & Thiran, J. (2013) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2013.6556527 · Cited by 35 · see citing works
Self-citationLong-Range Clustered Connections within Extrastriate Visual Area V5/MT of the Rhesus Macaque
Ahmed, B., Cordery, P. M., McLelland, D., Bair, W., & Krug, K. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr072 · Cited by 32 · see citing works
Self-citationAddressing the Path-Length-Dependency Confound in White Matter Tract Segmentation
Liptrot, M. G., Sidaros, K., & Dyrby, T. B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096247 · Cited by 31 · see citing works
Self-citationTractography in the Study of the Human Brain: A Neurosurgical Perspective
Fortin, D., Aubin-Lemay, C., Boré, A., Girard, G., Houde, J., Whittingstall, K., & Descoteaux, M. (2012) · Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · doi:10.1017/s0317167100015560 · Cited by 30 · see citing works
Self-citationTracking and validation techniques for topographically organized tractography
Aydogan, D. B., & Shi, Y. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.071 · Cited by 28 · see citing works
Shape bottlenecks and conservative flow systems [medical image analysis]
Mangin, J.-F., Regis, J., & Frouin, V. (1996) · Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis · doi:10.1109/mmbia.1996.534084 · Cited by 27 · see citing works
Fusion of white and gray matter geometry: A framework for investigating brain development
Savadjiev, P., Yogesh Rathi, A., Sylvain Bouix, A., Smith, A. R., Schultz, R. T., Verma, R., & Westin, C. (2014) · Medical Image Analysis · doi:10.1016/j.media.2014.06.013 · Cited by 26 · 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
Jordan, K., Amirbekian, B., Keshavan, A., & Henry, R. G. (2017) · Journal of Neuroimaging · doi:10.1111/jon.12467 · Cited by 24 · see citing works
Wang, J., Aydogan, D. B., Varma, R., Toga, A. W., & Shi, Y. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.068 · Cited by 20 · see citing works
Topological principles and developmental algorithms might refine diffusion tractography
Innocenti, G. M., Dyrby, T. B., Girard, G., St‐Onge, E., Thiran, J., Daducci, A., & Descoteaux, M. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1759-1 · Cited by 20 · see citing works
Self-citationSeo, Y., Shinar, H., Morita, Y., & Navon, G. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199909)42:3 · Cited by 19 · see citing works
A Novel Anatomically-Constrained Global Tractography Approach to Monitor Sharp Turns in Gyri
Teillac, A., Beaujoin, J., Poupon, F., Mangin, J., & Poupon, C. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-66182-7_61 · Cited by 17 · see citing works
Probabilistic Tractography for Topographically Organized Connectomes
Aydogan, D. B., & Shi, Y. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46720-7_24 · Cited by 16 · see citing works
Track Filtering via Iterative Correction of TDI Topology
Aydogan, D. B., & Shi, Y. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24553-9_3 · Cited by 12 · see citing works
Baraković, M., Girard, G., Romascano, D., et al. (2018) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 5 · see citing works
Self-citation(2019) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 3 · see citing works
Jones (1999) · doi:10.1002/(sici)1522-2594(199907)42:1
Basser (2000) · doi:10.1002/1522-2594(200010)44:4
Matelli (1998) · doi:10.1002/(sici)1096-9861(19981221)402:3
Flagged first, then by citations
Research works printed but not linked: 3
- Daducci, A. , Dal Palu, A. , Lemkaddem, A. , Thiran, J.-P. , 2014. COMMIT: Convex optimiza- tion modeling for micro-structure informed tractography. IEEE Trans. Med. Imaging 34 (1) .
- Pajevic, S. , Pierpaoli, C. , 1999. Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: application to white matter fiber tract mapping in the human brain. Magn. Reson. Med. 42 (3), 526-540 .
- Tournier, J.-D. , Calamante, F. , Connelly, A. , 2010. Improved probabilistic streamlines trac- tography by 2 nd order integration over fibre orientation distributions. In: Proceed- ings of the International Symposium on Magnetic Resonance in Medicine. Stockholm, Sweden .
Cited by
Sorted by citations
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
“Several studies conducted on animals using invasive tract-tracing techniques have shown good agreement between the NOS and the biological connectivity as measured using ex vivo tract-tracing data (Delettre et al., 2019; Girard et al., 2020; van den Heuvel et al., 2015a).”
BackgroundSchilling, 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
Self-citationHierarchical microstructure informed tractography
Ocampo-Pineda, M., Schiavi, S., Rheault, F., Girard, G., Petit, L., Descoteaux, M., & Daducci, A. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0907 · Cited by 19 · see citing works
Self-citationTowards reliable reconstruction of the mouse brain corticothalamic connectivity using diffusion MRI
Arefin, T. M., Lee, C. H., Liang, Z., Rallapalli, H., Wadghiri, Y. Z., Turnbull, D. H., & Zhang, J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120111 · Cited by 17 · see citing works
Trinkle, S., Foxley, S., Wildenberg, G., Kasthuri, N., & La Rivière, P. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118576 · Cited by 8 · see citing works
- Authors
- 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., & Innocenti, G. M.
- Affiliations
- Centre Hospitalier Universitaire Vaudois (CH)
- Italian Institute of Technology (IT)
- Hvidovre Hospital (DK)
- Aarhus University (DK)
- University of Oxford (GB)
- Université de Sherbrooke (CA)
- Karolinska Institutet (SE)
- Corresponding author
- Girard, Gabriel
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 221
- Pages
- 117201
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W3046367338
- Cited by
- 83
- References
- 171
- Citations by year
- 2026: 8 · 2025: 21 · 2024: 5 · 2023: 14 · 2022: 20 · 2021: 15
- FWCI
- 5.99
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- SERVAL (Université de Lausanne) (publishedVersion, cc-by-nc-nd)
- IRIS (submittedVersion, cc-by-nc-nd)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion, cc-by-nc-nd)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Scopus (Elsevier) (submittedVersion, cc-by-nc-nd)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, cc-by-nc-nd)
- Funders
- Deutsche Forschungsgemeinschaft (406269671)
- Istituto Italiano di Tecnologia (000000247)
- Centre d'Imagerie BioMédicale
- Ministero dell’Istruzione, dell’Università e della Ricerca (AWSW2Y_002, 94KEER_002)
- École Polytechnique Fédérale de Lausanne
- 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
- cortical connectivity, diffusion tractography, macaque brain, probabilistic tractography, deterministic tractography, multi-shell diffusion MRI, white matter structure
- MeSH terms
- Animals, Cerebral Cortex, Histological Techniques, Macaca mulatta, Male, Nerve Net, Diffusion Tensor Imaging, Neuroanatomical Tract-Tracing Techniques, White Matter
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