Cited by 236Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Validation of in vitro probabilistic tractography

Dyrby, Tim B., Søgaard, Lise V., Parker, Geoffrey J., Alexander, Daniel C., Lind, Nanna M., Baaré, William F.C., Hay-Schmidt, Anders, Eriksen, Nina, Pakkenberg, Bente, Paulson, Olaf B., Jelsing, Jacob·2007·NeuroImage

DOI 10.1016/j.neuroimage.2007.06.022

Open this paper in CoChat — free account

Abstract

Diffusion weighted imaging (DWI) and tractography allow the non-invasive study of anatomical brain connectivity. However, a gold standard for validating tractography of complex connections is lacking. Using the porcine brain as a highly gyrated brain model, we quantitatively and qualitatively assessed the anatomical validity and reproducibility of in vitro multi-fiber probabilistic tractography against two invasive tracers: the histochemically detectable biotinylated dextran amine and manganese enhanced magnetic resonance imaging. Post mortem DWI was used to ensure that most of the sources known to degrade the anatomical accuracy of in vivo DWI did not influence the tracking results. We demonstrate that probabilistic tractography reliably detected specific pathways. Moreover, the applied model allowed identification of the limitations that are likely to appear in many of the current tractography methods. Nevertheless, we conclude that DWI tractography can be a precise tool in studying anatomical brain connectivity.

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2007.06.022

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Parallel organization of functionally segregated circuits linking basal ganglia and cortex
Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527
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
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 3,513
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
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
Basal ganglia-thalamocortical circuits: parallel substrates for motor, oculomotor, "prefrontal" and "limbic" functions.
Alexander, G. E., Crutcher, M. D., & DeLong, M. R. (1990) · PubMed · Cited by 2,422
Chapter 6 Basal ganglia-thalamocortical circuits: Parallel substrates for motor, oculomotor, “prefrontal” and “limbic” functions
(1991) · Progress in Brain Research · doi:10.1016/s0079-6123(08)62678-3 · Cited by 1,961
Q-ball imaging
Tuch, D. S. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20279 · Cited by 1,880
Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution
Tournier, J.-D., Calamante, F., Gadian, D. G., & Connelly, A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.037 · Cited by 1,635
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 1×
“…(DTI) (Basser et al., 1994) and related methods such as q-ball imaging (Tuch, 2004), tensor-mixture models (Alexander, 2005; Assaf et al., 2004; Tuch et al., 2002), PASMRI (Jansons and Alexander, 2003) and spherical deconvolution (Frank, 2002; Tournier et al., 2004) quantify water-diffusion…”
Method

Flagged first, then by citations

Show all 42 references

Research works printed but not linked: 1

Oztas, 2003, Neuronal tracing, Neuroanatomy, 2, 2

Sorted by citations

Items 101–200 of 236

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 42
Self-citation
The Claustrum and Insula in Microcebus murinus: A High Resolution Diffusion Imaging Study
Park, S., Tyszka, J. M., & Allman, J. M. (2012) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2012.00021 · Cited by 40
Combining tractography and cortical measures to test system-specific hypotheses in multiple sclerosis
Gorgoraptis, N., Wheeler‐Kingshott, C. A. M. G., Jenkins, T. M., Altmann, D. R., Miller, D. H., Thompson, A. J., & Ciccarelli, O. (2010) · Multiple Sclerosis Journal · doi:10.1177/1352458510362440 · Cited by 41
Decreased Number of Self-Paced Saccades in Post-Concussion Syndrome Associated with Higher Symptom Burden and Reduced White Matter Integrity
Taghdiri, F., Chung, J., Irwin, S. L., Multani, N., Tarazi, A., Ebraheem, A., Khodadadi, M., Goswami, R., Wennberg, R. A., Mikulis, D. J., et al. (2017) · Journal of Neurotrauma · doi:10.1089/neu.2017.5274 · Cited by 43
The role of diffusion tractography in refining glial tumor resection
Vanderweyen, D., Theaud, G., Sidhu, J., Rheault, F., Sarubbo, S., Descoteaux, M., & Fortin, D. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02056-z · Cited by 41
A change in brain white matter after shunt surgery in idiopathic normal pressure hydrocephalus: a tract-based spatial statistics study
Kanno, S., Saito, M., Kashinoura, T., Nishio, Y., Iizuka, O., Kikuchi, H., Takagi, M., Iwasaki, M., Takahashi, S., & Mori, E. (2017) · Fluids and Barriers of the CNS · doi:10.1186/s12987-016-0048-8 · Cited by 38
Diffusion MR Imaging: Basic Principles
Yang, E., Nucifora, P. G. P., & Melhem, E. R. (2011) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2011.02.001 · Cited by 41
The Known and Missing Links Between the Cerebellum, Basal Ganglia, and Cerebral Cortex
Cacciola, A., Milardi, D., Livrea, P., Flace, P., Anastasi, G., & Quartarone, A. (2017) · The Cerebellum · doi:10.1007/s12311-017-0850-0 · Cited by 38
Validation of Tractography
Cristinacce, P. L. H., & Parker, G. J. M. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374709-9.00016-x · Cited by 35
Self-citation
Imaging connectivity: MRI and the structural networks of the brain.
Clayden, J. D. (2013) · Europe PMC (PubMed Central) · Cited by 35
Strengths and limitations of tractography methods to identify the optic radiation for epilepsy surgery.
Lilja, Y., & Nilsson, D. T. (2015) · Europe PMC (PubMed Central) · doi:10.3978/j.issn.2223-4292.2015.01.08 · Cited by 34
The Role of Probabilistic Tractography in the Surgical Treatment of Thalamic Gliomas
Kis, D., Máté, A., Kincses, Z. T., Vörös, E., & Barzó, P. (2014) · Operative Neurosurgery · doi:10.1227/neu.0000000000000333 · Cited by 34
Thalamocortical Connectivity and Microstructural Changes in Congenital and Late Blindness
Reislev, N. H., Dyrby, T. B., Siebner, H. R., Lundell, H., Ptito, M., & Kupers, R. C. (2017) · Neural Plasticity · doi:10.1155/2017/9807512 · Cited by 34
Self-citation
Diffusion Tensor Imaging as a Prognostic Tool for Recovery in Acute and Hyperacute Stroke
Christidi, F., Tsiptsios, D., Fotiadou, A., Kitmeridou, S., Karatzetzou, S., Tsamakis, K., Sousanidou, A., Psatha, E. A., Karavasilis, E., Seimenis, I., et al. (2022) · Neurology International · doi:10.3390/neurolint14040069 · Cited by 33
Probabilistic tractography of the optic radiations—An automated method and anatomical validation
Clatworthy, P. L., Williams, G. B., Acosta‐Cabronero, J., Jones, S. P., Harding, S. G., Johansen‐Berg, H., & Baron, J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.083 · Cited by 33
Spatiotemporal patterns of cortical fiber density in developing infants, and their relationship with cortical thickness
Li, G., Liu, T., Ni, D., Lin, W., Gilmore, J. H., & Shen, D. G. (2015) · Human Brain Mapping · doi:10.1002/hbm.23003 · Cited by 33
Exploring sex differences in the adult zebra finch brain: In vivo diffusion tensor imaging and ex vivo super-resolution track density imaging
Hamaide, J., Groof, G. D., Steenkiste, G. V., Jeurissen, B., Audekerke, J. V., Naeyaert, M., Ruijssevelt, L. V., Cornil, C. A., Sijbers, J., Verhoye, M., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.09.067 · Cited by 32
Probabilistic MRI Tractography of the Optic Radiation Using Constrained Spherical Deconvolution: A Feasibility Study
Lim, J. C., Phal, P. M., Desmond, P. M., Nichols, A. D., Kokkinos, C., Danesh-Meyer, H. V., Kaye, A. H., & Moffat, B. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118948 · Cited by 31
Addressing 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
Self-citation
Role of the Cortico-Subthalamic Hyperdirect Pathway in Deep Brain Stimulation for the Treatment of Parkinson Disease: A Diffusion Tensor Imaging Study
Chen, Y., Ge, S., Li, Y., Li, N., Wang, J., Wang, X., Li, J., Jing, J., Su, M., Zheng, Z., et al. (2018) · World Neurosurgery · doi:10.1016/j.wneu.2018.03.149 · Cited by 30
Visualizing the trigeminovagal complex in the human medulla by combining ex-vivo ultra-high resolution structural MRI and polarized light imaging microscopy
Henssen, D. J. H. A., Derks, B., van Doorn, M., Verhoogt, N., Staats, P. S., Vissers, K. C. P., & van Walsum, A. M. V. C. (2019) · Scientific Reports · doi:10.1038/s41598-019-47855-5 · Cited by 30
Altered anatomical connections of associative and limbic cortico-basal-ganglia circuits in obsessive-compulsive disorder
Haynes, W. I. A., Clair, A.-H., Fernandez-Vidal, S., Gholipour, B., Morgiève, M., & Mallet, L. (2018) · European Psychiatry · doi:10.1016/j.eurpsy.2018.01.005 · Cited by 29
Multi-modal imaging of a single mouse brain over five orders of magnitude of resolution
Foxley, S., Sampathkumar, V., Andrade, V. D., Trinkle, S., Sorokina, A., Norwood, K., Rivière, P. J. L., & Kasthuri, N. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118250 · Cited by 29
Distribution of collateral fibers in the monkey cervical spinal cord detected with diffusion-weighted magnetic resonance imaging
Lundell, H., Nielsen, J. B., Ptito, M., & Dyrby, T. B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.043 · Cited by 28
Self-citation
Comparative diffusion tractography of corticostriatal motor pathways reveals differences between humans and macaques
Neggers, S. F. W., Zandbelt, B. B., Schall, M., & Schall, J. D. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00569.2014 · Cited by 28
Characterization of Motor and Somatosensory Evoked Potentials in the Yucatan Micropig Using Transcranial and Epidural Stimulation
Benavides, F. D., Santamaría, A. J., Bodoukhin, N., Guada, L. G., Solano, J. P., & Guest, J. D. (2016) · Journal of Neurotrauma · doi:10.1089/neu.2016.4511 · Cited by 27
MR Diffusion Tractography
Behrens, T. E. J., & Jbabdi, S. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374709-9.00015-8 · Cited by 27
The VALiDATe29 MRI Based Multi-Channel Atlas of the Squirrel Monkey Brain
Schilling, K. G., Gao, Y., Stepniewska, I., Wu, T., Wang, F., Landman, B. A., Gore, J. C., Chen, L. M., & Anderson, A. W. (2017) · Neuroinformatics · doi:10.1007/s12021-017-9334-0 · Cited by 26
‘Whose atlas I use, his song I sing?’ – The impact of anatomical atlases on fiber tract contributions to cognitive deficits after stroke
de Haan, B., & Karnath, H. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.051 · Cited by 23
Histologically derived fiber response functions for diffusion MRI vary across white matter fibers—An ex vivo validation study in the squirrel monkey brain
Schilling, K. G., Gao, Y., Stepniewska, I., Janve, V. A., Landman, B. A., & Anderson, A. W. (2019) · NMR in Biomedicine · doi:10.1002/nbm.4090 · Cited by 24
Structural connectivity of the ANT region based on human ex-vivo and HCP data. Relevance for DBS in ANT for epilepsy
Majtanik, M., Gielen, F. L. H., Coenen, V. A., Lehtimäki, K. A., & Mai, J. K. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119551 · Cited by 24
Adeno-associated viral vector serotypes 1 and 5 targeted to the neonatal rat and pig striatum induce widespread transgene expression in the forebrain
Kornum, B. R., Stott, S., Mattsson, B., Wisman, L. A. B., Ettrup, A., Hermening, S., Knudsen, G. M., & Kirik, D. (2009) · Experimental Neurology · doi:10.1016/j.expneurol.2009.12.009 · Cited by 23
How Human Is Human Connectional Neuroanatomy?
Rushmore, J., Sylvain Bouix, A., Kubicki, M. R., Yogesh Rathi, A., Yeterian, E. H., & Makris, N. (2020) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2020.00018 · Cited by 23
On the structural connectivity of large-scale models of brain networks at cellular level
Giacopelli, G., Tegolo, D., Spera, E., & Migliore, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-83759-z · Cited by 26
Structural Brain Network: What is the Effect of LiFE Optimization of Whole Brain Tractography?
Qi, S., Meesters, S., Nicolay, K., Romeny, B. M. T. H., & Ossenblok, P. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00012 · Cited by 22
Combinatorial fiber-tracking of the human brain
Lifshits, S., Tamir, A., & Assaf, Y. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.086 · Cited by 22
Mapping of the mouse olfactory system with manganese-enhanced magnetic resonance imaging and diffusion tensor imaging
Gutman, D. A., Magnuson, M. E., Majeed, W., Keifer, O. P., Davis, M., Ressler, K. J., & Keilholz, S. D. (2012) · Brain Structure and Function · doi:10.1007/s00429-012-0413-6 · Cited by 21
The porcine corticospinal decussation: A combined neuronal tracing and tractography study
Bech, J., Glud, A. N., Sangill, R., Petersen, M. S., Frandsen, J. R., Orłowski, D., West, M. J., Pedersen, M., Sørensen, J. C. H., Dyrby, T. B., et al. (2018) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2018.08.004 · Cited by 21
Self-citation
Physical and digital phantoms for validating tractography and assessing artifacts
Drobnjak, I., Neher, P., Poupon, C., & Sarwar, T. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118704 · Cited by 18
MRI protocol for in vivo visualization of the Göttingen minipig brain improves targeting in experimental functional neurosurgery
Rosendal, F., Pedersen, M., Sangill, R., Stødkilde‐Jørgensen, H., Nielsen, M. S., Bjarkam, C. R., Sunde, N. A., & Sørensen, J. C. H. (2009) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2009.01.002 · Cited by 18
Amygdalar and hippocampal connections with brainstem and spinal cord: A diffusion MRI study in human brain
Arrigo, A., Mormina, E., Calamuneri, A., Gaeta, M., Marino, S., Milardi, D., Anastasi, G., & Quartarone, A. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.12.016 · Cited by 18
Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging
Gao, Y., Schilling, K. G., Stepniewska, I., Plassard, A. J., Choe, A. S., Li, X., Landman, B. A., & Anderson, A. W. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.048 · Cited by 17
Structure Tensor Informed Fiber Tractography (STIFT) by combining gradient echo MRI and diffusion weighted imaging
Kleinnijenhuis, M., Barth, M., Alexander, D. C., van Walsum, A. V. C., & Norris, D. G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.078 · Cited by 16
Self-citation
Mathematical expertise modulates the architecture of dorsal and cortico-thalamic white matter tracts
Jeon, H., Kuhl, U., & Friederici, A. D. (2019) · Scientific Reports · doi:10.1038/s41598-019-43400-6 · Cited by 16
Ex vivo diffusion-weighted MRI tractography of the Göttingen minipig limbic system
Bech, J., Orłowski, D., Glud, A. N., Dyrby, T. B., Sørensen, J. C. H., & Bjarkam, C. R. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02058-x · Cited by 16
Self-citation
A critical review of connectome validation studies
Sarwar, T., Ramamohanarao, K., & Zalesky, A. (2021) · NMR in Biomedicine · doi:10.1002/nbm.4605 · Cited by 20
Identifying the midline thalamus in humans in vivo
Reeders, P. C., Núñez, M. V. R., Vertes, R. P., Mattfeld, A. T., & Allen, T. A. (2023) · Brain Structure and Function · doi:10.1007/s00429-022-02607-6 · Cited by 16
Using connectomics for predictive assessment of brain parcellations
Albers, K. J., Ambrosen, K. S., Liptrot, M. G., Dyrby, T. B., Schmidt, M. N., & Mørup, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118170 · Cited by 17
Self-citation
Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI : Part 2—Ex vivo imaging: Added value and acquisition
Schilling, K. G., Grussu, F., Ianuș, A., Hansen, B., Howard, A. F. D., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F. A., Syeda, W. T., et al. (2025) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30435 · Cited by 29
Self-citation
Graph-theoretical derivation of brain structural connectivity
Giacopelli, G., Migliore, M., & Tegolo, D. (2020) · Applied Mathematics and Computation · doi:10.1016/j.amc.2020.125150 · Cited by 13
Test-retest reliability of high angular resolution diffusion imaging acquisition within medial temporal lobe connections assessed via tract based spatial statistics, probabilistic tractography and a novel graph theory metric
Kuhn, T. P., Gullett, J. M., Nguyen, P., Boutzoukas, A. E., Ford, A. A., Colón-Pérez, L. M., Triplett, W. T., Carney, P. R., Mareci, T. H., Price, C. C., et al. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9425-1 · Cited by 13
Diffusion Tensor Imaging and Its Application to Traumatic Brain Injury: Basic Principles and Recent Advances
Yeh, P., Oakes, T. R., & Riedy, G. P. (2012) · Open Journal of Medical Imaging · doi:10.4236/ojmi.2012.24025 · Cited by 13
Using mesoscopic tract-tracing data to guide the estimation of fiber orientation distributions in the mouse brain from diffusion MRI
Liang, Z., Arefin, T. M., Lee, C. H., & Zhang, J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119999 · Cited by 12
Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI : Part 1: In vivo small‐animal imaging
Jelescu, I., Grussu, F., Ianuș, A., Hansen, B., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F. A., Syeda, W. T., Wang, N., et al. (2025) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30429 · Cited by 21
Self-citation
Cortico-basal white matter alterations occurring in Parkinson’s disease
Isaacs, B. R., Trutti, A. C., Pelzer, E. A., Tittgemeyer, M., Temel, Y., Forstmann, B. U., & Keuken, M. C. (2019) · PLoS ONE · doi:10.1371/journal.pone.0214343 · Cited by 12
Synchrotron X‐ray micro‐CT as a validation dataset for diffusion MRI in whole mouse brain
Trinkle, S., Foxley, S., Kasthuri, N., & Rivière, P. J. L. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28776 · Cited by 12
Imaging the structural connectome with hybrid MRI-microscopy tractography
Zhu, S., Huszár, I. N., Cottaar, M., Daubney, G., Eichert, N., Hanayik, T., Khrapitchev, A. A., Mars, R. B., Mollink, J., Sallet, J., et al. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103498 · Cited by 11
Inference of functional connectivity from structural brain connectivity
Deligianni, F., Robinson, E. C., Beckmann, C. F., Sharp, D. J., Edwards, A. D., & Rueckert, D. (2010) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2010.5490188 · Cited by 11
Corticospinal Tract Tracing in the Marmoset with a Clinical Whole-Body 3T Scanner Using Manganese-Enhanced MRI
Demain, B., Davoust, C., Plas, B., Bolan, F., Boulanouar, K., Renaud, L., Darmana, R., Vaysse, L., Christophe Vieu, A., & Loubinoux, I. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138308 · Cited by 11
New surgical technique reduces the susceptibility artefact at air–tissue interfaces on in vivo cerebral MRI in the Göttingen minipig
Rosendal, F., Frandsen, J. R., Chakravarty, M. M., Bjarkam, C. R., Pedersen, M., Sangill, R., & Sørensen, J. C. H. (2009) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2009.08.012 · Cited by 11
A cortical wiring space links cellular architecture, functional dynamics and hierarchies in humansPreprint
Paquola, C., Seidlitz, J., Benkarim, O., Royer, J., Klimes, P., Bethlehem, R. A. I., Larivière, S., de Wael, R. V., Hall, J. A., Frauscher, B., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.08.899583 · Cited by 12
A Virtual In Vivo Dissection and Analysis of Socioaffective Symptoms Related to Cerebellum-Midbrain Reward Circuitry in Humans
Hoffman, L. J., Foley, J. M., Leong, J. K., Sullivan‐Toole, H., Elliott, B. L., & Olson, I. R. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1031-24.2024 · Cited by 9
In vivo manganese tract tracing of frontal eye fields in rhesus macaques with ultra-high field MRI: Comparison with DWI tractography
Schaeffer, D. J., Johnston, K., Gilbert, K. M., Gati, J. S., Menon, R. S., & Everling, S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.072 · Cited by 10
Connectome alterations following perinatal deafness in the cat
Sacco, A., Gordon, S. G., & Lomber, S. G. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120554 · Cited by 12
Frontostriatal anatomical connections predict age- and difficulty-related differences in reinforcement learning
van de Vijver, I., Ridderinkhof, K. R., Harsay, H. A., Reneman, L., Cavanagh, J. F., Buitenweg, J. I. V., & Cohen, M. X. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.06.002 · Cited by 10
Fibre Dissection and Sectional Study of the Major Porcine Cerebral White Matter Tracts
Paşcalău, R., & Szabo, B. A. (2017) · Anatomia Histologia Embryologia · doi:10.1111/ahe.12280 · Cited by 10
The Complex Hodological Architecture of the Macaque Dorsal Intraparietal Areas as Emerging from Neural Tracers and DW-MRI Tractography
Caminiti, R., Girard, G., Battaglia‐Mayer, A., Borra, E., Schito, A., Innocenti, G. M., & Luppino, G. (2021) · eNeuro · doi:10.1523/eneuro.0102-21.2021 · Cited by 10
Mesolimbic white matter connectivity mediates the preference for sweet food
Francke, P., Tiedemann, L. J., Menz, M. M., Beck, J., Büchel, C., & Brassen, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-40935-6 · Cited by 10
The missing link: Predicting connectomes from noisy and partially observed tract tracing data
Hinne, M., Meijers, A., Bakker, R., Tiesinga, P. H. E., Mørup, M., & van Gerven, M. A. J. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005374 · Cited by 9
Direct structural connections between voice- and face-recognition areas
Blank, H., & von Kriegstein, K. (2012) · Max Planck Digital Library · Cited by 8
Diffusion and functional MRI in surgical neuromodulation
Silva, N. A., Barrios‐Martinez, J., Yeh, F.-C. F., Hodaie, M., Roque, D., Boerwinkle, V. L., & Krishna, V. (2024) · Neurotherapeutics · doi:10.1016/j.neurot.2024.e00364 · Cited by 8
Involvement of the cortico-basal ganglia-thalamo-cortical loop in developmental stuttering.Preprint
Chang, S., & Guenther, F. H. (2019) · doi:10.31234/osf.io/2qhtp · Cited by 8
Individual Differences in Corticostriatal White-matter Tracts Predict Successful Daily-life Routine Formation
van de Vijver, I., Verhoeven, A. A. C., & de Wit, S. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01967 · Cited by 8
Connectivity Fingerprinting of Gray Matter
Klein, J. C., Behrens, T. E. J., & Johansen‐Berg, H. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-396460-1.00021-4 · Cited by 7
Dissecting white matter pathways: A neuroanatomical approach
Forkel, S. J., Bortolami, C., Dulyan, L., Barrett, R. L. C., & Beyh, A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00012-4 · Cited by 6
Diffusion MRI Fiber Tractography
Smith, R. E., Connelly, A., & Calamante, F. (2020) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-12-817057-1.00023-8 · Cited by 10
Altered white matter connectivity associated with visual hallucinations following occipital stroke
Rafique, S. A., Richards, J. R., & Steeves, J. K. E. (2018) · Brain and Behavior · doi:10.1002/brb3.1010 · Cited by 6
A comparison of diffusion tractography techniques in simulating the generalized Ising model to predict the intrinsic activity of the brain
Abeyasinghe, P. M., Aiello, M., Cavaliere, C., Owen, A. M., & Soddu, A. (2021) · Brain Structure and Function · doi:10.1007/s00429-020-02211-6 · Cited by 6
Opening the Pig to Comparative Neuroimaging: A Common Space Approach Contextualizes the Pig and Human Structural ConnectomePreprint
Benn, R. A., Mars, R. B., Xu, T., Yee, J. R., Rodríguez‐Esparragoza, L., Montesinos, P., Manzano-Patron, J. P., López-Martín, G. J., Fuster, V., Sánchez‐Gonzalez, J., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.13.337436 · Cited by 6
A Pig White Matter Atlas and Common Connectivity Space Provide a Roadmap for the Introduction of a New Animal Model in Translational NeurosciencePreprint
Benn, R. A., Mars, R. B., Xu, T., Rodríguez‐Esparragoza, L., Montesinos, P., Manzano-Patron, J. P., López-Martín, G. J., Fuster, V., Sánchez‐Gonzalez, J., Duff, E. P., et al. (2020) · Research Square · doi:10.21203/rs.3.rs-105759/v1 · Cited by 7
A multimodal characterization of low-dimensional thalamocortical structural connectivity patterns
John, A., Hettwer, M. D., Schaare, H. L., Saberi, A., Bayrak, Ş., Wan, B., Royer, J., Bernhardt, B. C., & Valk, S. L. (2025) · Communications Biology · doi:10.1038/s42003-025-07528-8 · Cited by 8
Mapping white matter pathways with diffusion imaging tractography: focus on neurosurgical applications
Catani, M., & Dell’Acqua, F. (2011) · Springer eBooks · doi:10.1007/978-3-7091-0723-2_5 · Cited by 5
Uncertainty in Tractography via Tract Confidence Regions
Brown, C. J., Booth, B. G., & Hamarneh, G. (2013) · Mathematics and visualization · doi:10.1007/978-3-319-02475-2_12 · Cited by 5
Advances in longitudinal MRI diagnostic tests
Hernández-García, L., & Buschkuehl, M. (2012) · Expert Opinion on Medical Diagnostics · doi:10.1517/17530059.2012.686995 · Cited by 5
White matter fiber tracking directed by interpolating splines and a methodological framework for evaluation
Losnegård, A., Lundervold, A., & Hodneland, E. (2013) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2013.00013 · Cited by 4
Human cortical dynamics reflect graded contributions of local geometry and network topography
Royer, J., Paquola, C., Rodríguez‐Cruces, R., Auer, H., Ngo, A., Sahlas, E., Arafat, T., Abdallah, C., Daniel Mansilla, D., Pana, R., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-67740-2 · Cited by 7
Neural connectivity underlying core language functions
Bohsali, A. A., Gullett, J. M., FitzGerald, D. B., Mareci, T. H., Crosson, B., White, K. D., & Nadeau, S. E. (2025) · Brain and Language · doi:10.1016/j.bandl.2025.105535 · Cited by 4
Diffusion Tensor Imaging (DTI) and Tractography
Rüber, T., Elger, C. E., & Weber, B. (2016) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-642-35923-1_22 · Cited by 4
Magnetic Resonance Techniques for Imaging White Matter
Sampaio‐Baptista, C., Diosi, K., & Johansen‐Berg, H. (2019) · Methods in molecular biology · doi:10.1007/978-1-4939-9072-6_22 · Cited by 4
Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging
Tang-Wright, K., Smith, J. E. T., Bridge, H., Miller, K. L., Dyrby, T. B., Ahmed, B., Reislev, N. L., Sallet, J., Parker, A. J., & Krug, K. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab364 · Cited by 4
Self-citation
The exponential distance rule-based network model predicts topology and reveals functionally relevant properties of the Drosophila projectome
Péntek, B., & Ercsey-Ravasz, M. (2025) · Network Neuroscience · doi:10.1162/netn_a_00455 · Cited by 3
Neuronal Fiber--tracking via optimal mass transportation
Daducci, A., Marigonda, A., Orlandi, G., & Posenato, R. (2012) · Communications on Pure & Applied Analysis · doi:10.3934/cpaa.2012.11.2157 · Cited by 3
Single-shell diffusion models: From DTI to HARDI
Dell’Acqua, F., Leemans, A., Dawson, M., & Descoteaux, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00010-0 · Cited by 3
Delineation of the trigeminal-lateral parabrachial-central amygdala tract in humans
Kaya, B., Khalil, O., Abssy, S. S., Cioffi, I., & Moayedi, M. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00567 · Cited by 3
Parcellation-Independent Multi-Scale Framework for Brain Network Analysis
Schirmer, M. D., Ball, G., Counsell, S. J., Edwards, A. D., Rueckert, D., Hajnal, J. V., & Aljabar, P. (2014) · Mathematics and visualization · doi:10.1007/978-3-319-11182-7_3 · Cited by 3
Choosing a Tractography Algorithm: On the Effects of Measurement Noise
Reichenbach, A., Hlawitschka, M., Tittgemeyer, M., & Scheuermann, G. (2013) · Mathematics and visualization · doi:10.1007/978-3-319-02475-2_11 · Cited by 3
Molecular and Translational Research
von Elverfeldt, D., Reichardt, W., & Harsan, L. A. (2011) · Medical radiology · doi:10.1007/174_2010_132 · Cited by 3
Multi-modal imaging of a single mouse brain over five orders of magnitude of resolutionPreprint
Foxley, S., Sampathkumar, V., Andrade, V. D., Trinkle, S., Sorokina, A., Norwood, K., Rivière, P. J. L., & Kasthuri, N. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.07.329789 · Cited by 3
An in vivo Dissection, and Analysis of Socio-Affective Symptoms related to Cerebellum-Midbrain Reward Circuitry in HumansPreprint
Hoffman, L. J., Foley, J. M., Leong, J. K., Sullivan‐Toole, H., Elliott, B. L., & Olson, I. R. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.29.560239 · Cited by 4
Bridging Histology and Tractography: First In Vivo Visualization of Short‐Range Prefrontal Connections Informed by Primate Tract‐Tracing
Amandola, M., Kim, M. E., Rheault, F., Landman, B. A., & Schilling, K. (2026) · Human Brain Mapping · doi:10.1002/hbm.70520 · Cited by 2

Authors: 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., & Jelsing, J.
Affiliations: Hvidovre Hospital (DK)
University College London (GB)
University of Copenhagen (DK)
Bispebjerg Hospital (DK)
Corresponding author: Dyrby, Tim B.
ORCID: Dyrby, Tim B.
Alexander, Daniel C.
Baaré, William F.C.
Eriksen, Nina
Pakkenberg, Bente
Paulson, Olaf B.
Jelsing, Jacob
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2007-10
Volume: 37
Issue: 4
Pages: 1267-1277
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2007.06.022
OpenAlex: W1979286792
Cited by: 236
References: 42
Citations by year: 2026: 5 · 2025: 16 · 2024: 3 · 2023: 4 · 2022: 5 · 2021: 13 · 2020: 16 · 2019: 13 · 2018: 18 · 2017: 16 · 2016: 11 · 2015: 17 · 2014: 15 · 2013: 18 · 2012: 19
FWCI: 7.25
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
UCL Discovery (University College London) (submittedVersion)
Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
Research Explorer (The University of Manchester) (submittedVersion)
Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
Funders: Velux Stiftung
Lundbeckfonden
Engineering and Physical Sciences Research Council
Biotechnology and Biological Sciences Research Council
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: probabilistic tractography, diffusion-weighted imaging, porcine brain, biotinylated dextran amine, manganese-enhanced MRI
MeSH terms: Algorithms, Animals, Biotin, Brain, Cerebral Cortex, Dextrans, Fluorescent Dyes, Male, Manganese, Nerve Fibers, Neural Pathways, Swine, Swine, Miniature, Reproducibility of Results, Models, Statistical, Diffusion Magnetic Resonance Imaging

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

Validation of in vitro probabilistic tractography

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks