Human cortical connectome reconstruction from diffusion weighted MRI: The effect of tractography algorithm
Open accessAbstract
Reconstructing the macroscopic human cortical connectome by Diffusion Weighted Imaging (DWI) is a challenging research topic that has recently gained a lot of attention. In the present work, we investigate the effects of intra-voxel fiber direction modeling and tractography algorithm on derived structural network indices (e.g. density, small-worldness and global efficiency). The investigation is centered on three semi-independent distinctions within the large set of available diffusion models and tractography methods: i) single fiber direction versus multiple directions in the intra-voxel diffusion model, ii) deterministic versus probabilistic tractography and iii) local versus global measure-of-fit of the reconstructed fiber trajectories. The effect of algorithm and parameter choice has two components. First, there is the large effect of tractography algorithm and parameters on global network density, which is known to strongly affect graph indices. Second, and more importantly, there are remaining effects on graph indices which range in the tens of percent even when global density is controlled for. This is crucial for the sensitivity of any human structural network study and for the validity of study comparisons. We then investigate the effect of the choice of tractography algorithm on sensitivity and specificity of the resulting connections with a connectome dissection quality control (QC) approach. In this approach, evaluation of Tract Specific Density Coefficients (TSDCs) measures sensitivity while careful inspection of tractography path results assesses specificity. We use this to discuss interactions in the combined effects of these methods and implications for future studies.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060 · see citing works
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522 · 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
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
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306 · 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
Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging
Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. M. (1999) · Annals of Neurology · doi:10.1002/1531-8249(199902)45:2 · Cited by 3,479 · 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
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
Characterization and propagation of uncertainty in diffusion-weighted MR imaging
Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen‐Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10609 · Cited by 3,038 · see citing works
Efficiency and Cost of Economical Brain Functional Networks
Achard, S., & Bullmore, E. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030017 · Cited by 2,553 · 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 Tract–based Atlas of Human White Matter Anatomy
Wakana, S., Jiang, H., Nagae‐Poetscher, L. M., van Zijl, P. C. M., & Mori, S. (2004) · Radiology · doi:10.1148/radiol.2301021640 · Cited by 2,023 · see citing works
Tuch, D. S. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20279 · Cited by 1,880 · see citing works
Tracking neuronal fiber pathways in the living human brain
Conturo, T. E., Lori, N. F., Cull, T. S., Akbudak, E., Snyder, A. Z., Shimony, J. S., McKinstry, R. C., Burton, H., & Raichle, M. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.18.10422 · Cited by 1,774 · see citing works
Dynamic reconfiguration of human brain networks during learning
Bassett, D. S., Wymbs, N. F., Porter, M. A., Mucha, P. J., Carlson, J. M., & Grafton, S. T. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018985108 · Cited by 1,705 · see citing works
A diffusion tensor imaging tractography atlas for virtual in vivo dissections.
CATANI, M., & THIEBAUTDESCHOTTEN, M. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.004 · Cited by 1,642 · see citing works
Tournier, J.-D., Calamante, F., Gadian, D. G., & Connelly, A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.037 · Cited by 1,635 · see citing works
High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity
Tuch, D. S., Reese, T. G., Wiegell, M. R., Makris, N., Belliveau, J. W., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10268 · Cited by 1,548 · cited 2× · see citing works
“This has stimulated investigation into new acquisition protocols, such as high angular resolution diffusion imaging (HARDI; Frank, 2001; Tuch et al., 2002), and new PDF reconstruction strategies that can produce multi-modal functions.”
BackgroundMethodFiber tract-based atlas of human white matter anatomy
Wakana, S. (2006) · Medical Entomology and Zoology · Cited by 1,544 · see citing works
Mapping 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
Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging
Feinberg, D. A., Moeller, S., Smith, S. M., Auerbach, E., Ramanna, S., Glasser, M. F., Miller, K. L., Ugurbil, K., & Yacoub, E. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015710 · Cited by 1,296 · see citing works
The B‐matrix must be rotated when correcting for subject motion in DTI data
Leemans, A., & Jones, D. K. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21890 · Cited by 1,266 · see citing works
Whole-brain anatomical networks: does the choice of nodes matter?
Zalesky, A., Fornito, A., Harding, I. H., Cocchi, L., Yücel, M., Pantelis, C., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.027 · Cited by 1,169 · see citing works
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
van Wijk, B. C. M., Stam, C. J., & Daffertshofer, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013701 · Cited by 1,161 · see citing works
A lateralized brain network for visuospatial attention
de Schotten, M. T., Dell'Acqua, F., Forkel, S. J., Simmons, A., Vergani, F., Murphy, D. G. M., & Catani, M. (2011) · Nature Neuroscience · doi:10.1038/nn.2905 · Cited by 1,103 · cited 2× · see citing works
“7) are shown for every combination. considered to have (Ffytche et al., 2010; Thiebaut de Schotten et al., 2011), and to have a greater spread of connections in themost posterior regions.”
BackgroundMethodGoebel, R., Esposito, F., & Formisano, E. (2006) · Human Brain Mapping · doi:10.1002/hbm.20249 · Cited by 1,053 · see citing works
Self-citationGeneralized ${ q}$-Sampling Imaging
Yeh, F.-C. F., Wedeen, V. J., & Tseng, W. I. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2045126 · Cited by 1,030 · 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
Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain
Assaf, Y., & Basser, P. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.042 · Cited by 856 · see citing works
Processing and visualization for diffusion tensor MRI
Westin, C., Maier, S. E., Mamata, H., Nabavi, A., Jolesz, F. A., & Kikinis, R. (2002) · Medical Image Analysis · doi:10.1016/s1361-8415(02)00053-1 · Cited by 802 · see citing works
Mapping Human Whole-Brain Structural Networks with Diffusion MRI
Hagmann, P., Kurant, M., Gigandet, X., Thiran, P., Wedeen, V. J., Meuli, R., & Thiran, J.-P. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000597 · Cited by 788 · see citing works
Diffusion MRI of complex neural architecture.
Tuch, D. S., Reese, T. G., Wiegell, M. R., & Wedeen, V. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00758-x · Cited by 698 · see citing works
Age- and Gender-Related Differences in the Cortical Anatomical Network
Gong, G., Rosa‐Neto, P., Carbonell, F., Chen, Z. J., Yong He, A., & Evans, A. C. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2308-09.2009 · Cited by 625 · 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
White matter tractography using diffusion tensor deflection
Lazar, M., Weinstein, D. M., Tsuruda, J. S., Hasan, K. M., Arfanakis, K., Meyerand, M. E., Badie, B., Rowley, H. A., Haughton, V. M., Field, A. S., et al. (2003) · Human Brain Mapping · doi:10.1002/hbm.10102 · Cited by 582 · see citing works
Parker, G. J. M., Haroon, H. A., & Wheeler‐Kingshott, C. A. M. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10350 · Cited by 527 · see citing works
Studying connections in the living human brain with diffusion MRI
Jones, D. K. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.002 · Cited by 480 · see citing works
Camino: Open-Source Diffusion-MRI Reconstruction and Processing
Cook, P. A., Bai, Y., Nedjati-Gilani, S., Seunarine, K. K., Hall, M. G., Parker, G. J. M., & Alexander, D. C. (2006) · Cited by 453 · see citing works
Mapping the human connectome at multiple scales with diffusion spectrum MRI
Cammoun, L., Gigandet, X., Meskaldji, D. E., Thiran, J., Sporns, O., Kim, Q., Maeder, P. P., Meuli, R. A., & Hagmann, P. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.09.031 · Cited by 443 · see citing works
Özarslan, E., & Mareci, T. H. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10596 · Cited by 423 · see citing works
Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom
Fillard, P., Descoteaux, M., Goh, A., Gouttard, S., Jeurissen, B., Malcolm, J., Ramirez-Manzanares, A., Reisert, M., Sakaie, K., Tensaouti, F., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.032 · Cited by 418 · see citing works
Anisotropy in high angular resolution diffusion-weighted MRI
Frank, L. R. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1125 · Cited by 389 · see citing works
Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT)
Özarslan, E., Shepherd, T. M., Vemuri, B. C., Blackband, S. J., & Mareci, T. H. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.024 · Cited by 388 · see citing works
Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution
Jeurissen, B., Leemans, A., Jones, D. K., Tournier, J., & Sijbers, J. (2010) · Human Brain Mapping · doi:10.1002/hbm.21032 · Cited by 369 · 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
Characterizing brain anatomical connections using diffusion weighted MRI and graph theory
Iturria‐Medina, Y., Canales-Rodríguez, E. J., Melie‐García, L., Valdes-Hernandez, P. A., Martínez‐Montes, E., Alemán‐Gómez, Y., & Sánchez‐Bornot, J. M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.012 · Cited by 341 · see citing works
Parker, G. J. M., & Alexander, D. C. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1639 · Cited by 339 · 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
A 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
Characterizing non‐gaussian diffusion by using generalized diffusion tensors
Liu, C., Bammer, R., Acar, B., & Moseley, M. E. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20071 · Cited by 251 · see citing works
Constrained Centroidal Voronoi Tessellations for Surfaces
Du, Q., Gunzburger, M., & Ju, L. (2003) · SIAM Journal on Scientific Computing · doi:10.1137/s1064827501391576 · Cited by 246 · see citing works
Iturria‐Medina, Y., Fernández, A. P., Morris, D. M., Canales-Rodríguez, E. J., Haroon, H. A., García‐Pentón, L., Augath, M. A., García, L. G., Logothetis, N. K., Parker, G. J. M., et al. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq058 · Cited by 207 · see citing works
Diffusion imaging in humans at 7T using readout‐segmented EPI and GRAPPA
Heidemann, R. M., Porter, D. A., Anwander, A., et al. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22480 · Cited by 172 · see citing works
Jones, D. K. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.922191 · Cited by 161 · see citing works
Disorders of visual perception
Ffytche, D. H., Blom, J. D., & Catani, M. (2010) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2008.171348 · Cited by 152 · see citing works
A DTI Investigation of Neural Substrates Supporting Tool Use
Ramayya, A. G., Glasser, M. F., & Rilling, J. K. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp141 · Cited by 151 · see citing works
A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography
Aganj, I., Lenglet, C., Jahanshad, N., Yacoub, E. S., Harel, N., Thompson, P. M., & Sapiro, G. (2011) · Medical Image Analysis · doi:10.1016/j.media.2011.01.003 · Cited by 143 · see citing works
A DTI-Derived Measure of Cortico-Cortical Connectivity
Zalesky, A., & Fornito, A. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2012113 · Cited by 141 · see citing works
Estimating Crossing Fibers: A Tensor Decomposition Approach
Schultz, T., & Seidel, H. (2008) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2008.128 · Cited by 136 · see citing works
ConTrack: Finding the most likely pathways between brain regions using diffusion tractography
Sherbondy, A. J., Dougherty, R. F., Ben‐Shachar, M., Napel, S. A., & Wandell, B. A. (2008) · Journal of Vision · doi:10.1167/8.9.15 · Cited by 126 · see citing works
Probabilistic fibre tracking: Differentiation of connections from chance events
Morris, D. M., Embleton, K. V., & Parker, G. J. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.06.012 · Cited by 113 · see citing works
A Lateralized Brain Network for Visuospatial Attention (P02.026)
de Schotten, M. T., Dell’Acqua, F., Forkel, S. J., Simmons, A., Vergani, F., Murphy, D., & Catani, M. (2012) · Neurology · doi:10.1212/wnl.78.1_meetingabstracts.p02.026 · Cited by 101 · see citing works
High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T
Roebroeck, A. F., Galuske, R. A. W., Formisano, E., Chiry, O., Bratzke, H., Ronen, I., Kim, D., & Goebel, R. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.015 · Cited by 100 · see citing works
Self-citationLi, 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
In vivo quantification of global connectivity in the human corpus callosum
Jarbo, K., Verstynen, T., & Schneider, W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.056 · Cited by 95 · see citing works
Think Global, Act Local: Scalar Challenges to Sustainable Development of Marine Environments
Stratford, E. (2004) · UTAS Research Repository · Cited by 82 · see citing works
DT-MRI Fiber Tracking: A Shortest Paths Approach
Zalesky, A. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.923644 · Cited by 76 · see citing works
Sotiropoulos, S. N., Bai, L., Morgan, P. S., Constantinescu, C. S., & Tench, C. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.001 · Cited by 69 · see citing works
Optimization of seed density in DTI tractography for structural networks
Cheng, H., Wang, Y., Sheng, J., et al. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.09.021 · Cited by 61 · see citing works
Think Global, Act Local; Projectome Estimation with BlueMatter
Sherbondy, A. J., Dougherty, R. F., Ananthanarayanan, R., Modha, D. S., & Wandell, B. A. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04268-3_106 · Cited by 48 · see citing works
Basser (2000) · doi:10.1002/1522-2594(200010)44:4
Flagged first, then by citations
Cited by
Sorted by citations
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
Networks of anatomical covariance
Evans, A. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.054 · Cited by 429 · see citing works
Mathematical framework for large-scale brain network modeling in The Virtual Brain
Sanz-Leon, P., Knock, S. A., Spiegler, A., & Jirsa, V. K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.002 · Cited by 356 · 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
“While many research studies have been performed to compare different tractography algorithms [34, 344, 410, 491, 336, 532, 141], there is no consensus on “the best algorithm.”
BackgroundInfluentialConnectome 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
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
Evaluation 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
Structural network alterations and neurological dysfunction in cerebral amyloid angiopathy
Reijmer, Y. D., Fotiadis, P., Martinez-Ramirez, S., Salat, D. H., Schultz, A., Shoamanesh, A., Ayres, A. M., Vashkevich, A., Rosas, D., Schwab, K., et al. (2015) · Brain · doi:10.1093/brain/awu316 · Cited by 181 · 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
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
Drakesmith, M., Caeyenberghs, K., Dutt, A., Lewis, G., David, A. S., & Jones, D. K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.011 · Cited by 157 · see citing works
Jiang, X., Shen, Y., Yao, J., Zhang, L., Xu, L., Feng, R., Cai, L., Liu, J., Chen, W., & Wang, J. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0467-9 · Cited by 120 · see citing works
Mapping putative hubs in human, chimpanzee and rhesus macaque connectomes via diffusion tractography
Li, L., Hu, X., Preuss, T. M., Glasser, M. F., Damen, F. W., Qiu, Y., & Rilling, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.024 · Cited by 109 · see citing works
Heringa, S. M., on behalf of the Utrecht Vascular Cognitive Impairment (VCI) Study Group, Reijmer, Y. D., Leemans, A., Koek, H. L., Kappelle, L. J., & Biessels, G. J. (2013) · Journal of Alzheimer's Disease · doi:10.3233/jad-130542 · Cited by 100 · 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
- Authors
- Bastiani, M., Shah, N. J., Goebel, R., & Roebroeck, A.
- Affiliations
- Forschungszentrum Jülich (DE)
- Maastricht University (NL)
- Corresponding author
- Bastiani, Matteo
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2012-09
- Volume
- 62
- Issue
- 3
- Pages
- 1732-1749
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2107051185
- Cited by
- 192
- References
- 72
- Citations by year
- 2026: 3 · 2025: 13 · 2024: 8 · 2023: 6 · 2022: 6 · 2021: 14 · 2020: 11 · 2019: 18 · 2018: 16 · 2017: 19 · 2016: 15 · 2015: 22 · 2014: 20 · 2013: 17 · 2012: 4
- FWCI
- 15.22
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Repository@Nottingham (University of Nottingham) (acceptedVersion, other-oa)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by-nc-nd)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- EU Marie Curie Initial Training Network (-GA-2009-238593)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- cortical connectome, diffusion MRI, tractography, network density, small-worldness, global efficiency
- MeSH terms
- Adult, Algorithms, Cerebral Cortex, Humans, Image Interpretation, Computer-Assisted, Male, Neural Pathways, Diffusion Tensor Imaging, Connectome
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 ›
Are you an author, or do you see a problem with this page? Request a review
