Cited by 756Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

The DOI matches its Crossref record; 33 of the 35 references it cites were found in a registry or an index.

SIFT: Spherical-deconvolution informed filtering of tractograms

Smith, Robert E., Tournier, Jacques-Donald, Calamante, Fernando, Connelly, Alan·2013·NeuroImage

DOI 10.1016/j.neuroimage.2012.11.049

Open this paper in CoChat — free account

Abstract

Diffusion MRI allows the structural connectivity of the whole brain (the 'tractogram') to be estimated in vivo non-invasively using streamline tractography. The biological accuracy of these data sets is however limited by the inherent biases associated with the reconstruction method. Here we propose a method to retrospectively improve the accuracy of these reconstructions, by selectively filtering out streamlines from the tractogram in a manner that improves the fit between the streamline reconstruction and the underlying diffusion images. This filtering is guided by the results of spherical deconvolution of the diffusion signal, hence the acronym SIFT: spherical-deconvolution informed filtering of tractograms. Data sets processed by this algorithm show a marked reduction in known reconstruction biases, and improved biological plausibility. Emerging methods in diffusion MRI, particularly those that aim to characterise and compare the structural connectivity of the brain, should benefit from the improved accuracy of the reconstruction.

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2012.11.049

Cites

33 of 33 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?

Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628
How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging
Andersson, J. L. R., Skare, S., & Ashburner, J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00336-7 · Cited by 3,469
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
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 2,402
A Bayesian model of shape and appearance for subcortical brain segmentation
Patenaude, B., Smith, S. M., Kennedy, D. N., & Jenkinson, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.046 · Cited by 2,287
Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution
Tournier, J., Calamante, F., & Connelly, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.016 · Cited by 2,191
Self-citation
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
Self-citation
MRtrix: Diffusion tractography in crossing fiber regions
Tournier, J., Calamante, F., & Connelly, A. (2012) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22005 · Cited by 1,370
Self-citation
Three‐dimensional magnetization‐prepared rapid gradient‐echo imaging (3D MP RAGE)
Mugler, J. P., & Brookeman, J. R. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910150117 · Cited by 1,276

Flagged first, then by citations

Show all 35 references

2 of the 35 references couldn’t be matched to a known paper.

Sorted by citations

Items 401–500 of 756

Collegiate athlete brain data for white matter mapping and network neuroscience
Caron, B. A., Stuck, R., McPherson, B., Bullock, D. N., Kitchell, L. M., Faskowitz, J., Kellar, D., Cheng, H., Newman, S. D., Port, N., et al. (2021) · Scientific Data · doi:10.1038/s41597-021-00823-z · Cited by 11
CHIASM, the human brain albinism and achiasma MRI dataset
Puźniak, R. J., McPherson, B., Ahmadi, K., Herbik, A., Kaufmann, J., Liebe, T., Gouws, A. D., Morland, A. B., Gottlob, I., Hoffmann, M. B., et al. (2021) · Scientific Data · doi:10.1038/s41597-021-01080-w · Cited by 8
Longitudinal fibre-specific white matter damage predicts cognitive decline in multiple sclerosis
Koubiyr, I., Krijnen, E. A., Eijlers, A., Dekker, I., Hulst, H., Uitdehaag, B., Barkhof, F., Geurts, J., & Schoonheim, M. (2024) · Brain Communications · doi:10.1093/braincomms/fcae018 · Cited by 9
T1 relaxation and axon fibre configuration in human white matter
Hutchinson, G., Thotland, J., Pisharady, P. K., Garwood, M., Lenglet, C., & Kauppinen, R. A. (2024) · NMR in Biomedicine · doi:10.1002/nbm.5234 · Cited by 7
Structural and functional connectivity in relation to executive functions in antipsychotic-naïve patients with first episode schizophrenia
Kristensen, T. D., Ambrosen, K., Raghava, J., Syeda, W., Dhollander, T., Lemvigh, C., Bojesen, K., Barber, A. D., Nielsen, M. O., Rostrup, E., et al. (2024) · Schizophrenia · doi:10.1038/s41537-024-00487-9 · Cited by 6
Evidence for direct dopaminergic connections between substantia nigra pars compacta and thalamus in young healthy humans
Cirillo, G., Caiazzo, G., Franza, F., Cirillo, M., Papa, M., & Esposito, F. (2025) · Frontiers in Neural Circuits · doi:10.3389/fncir.2024.1522421 · Cited by 8
Reduced microstructural white matter integrity is associated with the severity of physical symptoms in functional neurological disorder
Gninenko, N., Müller, E., & Aybek, S. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103791 · Cited by 10
The Impact of Early Life Exposure to Air Pollution on the Brain: A Diffusion MRI Study in 10–13‐Year‐Old Children With and Without ADHD Diagnosis
Lewandowska, P., Bajada, C., Mysak, Y., Domagalik, A., Kossowski, B., Baumbach, C., Kaczmarek-Majer, K., Degórska, A., Skotak, K., Sitnik-Warchulska, K., et al. (2025) · Human Brain Mapping · doi:10.1002/hbm.70306 · Cited by 5
Structural and functional connectivity of the inferior temporal numeral area
Conrad, B. N., Pollack, C., Yeo, D. J. S., & Price, G. R. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac492 · Cited by 9
Integrated diffusion image operator (iDIO): A pipeline for automated configuration and processing of diffusion MRI data
Hsu, C., Chong, S., Kung, Y.-C., Kuo, K.-T., Huang, C.-C., & Lin, C.-P. (2023) · Human Brain Mapping · doi:10.1002/hbm.26239 · Cited by 7
A Method for In-Vivo Mapping of Axonal Diameter Distributions in the Human Brain Using Diffusion-Based Axonal Spectrum Imaging (AxSI)
Gast, H., Horowitz, A., Krupnik, R., Barazany, D., Lifshits, S., Ben-Amitay, S., & Assaf, Y. (2023) · Neuroinformatics · doi:10.1007/s12021-023-09630-w · Cited by 8
Abnormal wiring of the structural connectome in adults with ADHD
Tolonen, T., Roine, T., Alho, K., Leppämäki, S., Tani, P., Koski, A., Laine, M., & Salmi, J. (2023) · Network Neuroscience · doi:10.1162/netn_a_00326 · Cited by 10
Blurred streamlines: A novel representation to reduce redundancy in tractography
Gabusi, I., Battocchio, M., Bosticardo, S., Schiavi, S., & Daducci, A. (2024) · Medical Image Analysis · doi:10.1016/j.media.2024.103101 · Cited by 9
Low‐frequency rTMS induces modifications in cortical structural connectivity ‐ functional connectivity coupling in schizophrenia patients with auditory verbal hallucinations
Xie, Y., Li, C., Guan, M., Zhang, T., Ma, C., Wang, Z., Ma, Z., Wang, H., & Fang, P. (2024) · Human Brain Mapping · doi:10.1002/hbm.26614 · Cited by 8
Cortical mapping of callosal connections in healthy young adults
Xiong, Y., Yang, L., Wang, C., Zhao, C., Luo, J., Wu, D., Ouyang, Y., de Schotten, M. T., & Gong, G. (2024) · Human Brain Mapping · doi:10.1002/hbm.26629 · Cited by 8
White matter alterations and their associations with biomarkers and behavior in subjective cognitive decline individuals: a fixel-based analysis
Wei, Y., Kung, Y., Lin, C., Chen, C., Lin, C., Tseng, R.-Y., Chen, Y.-L., Huang, W., Chen, P., Chong, S. T., et al. (2024) · Behavioral and Brain Functions · doi:10.1186/s12993-024-00238-x · Cited by 10
Temporal dynamics of offline transcranial ultrasound stimulation
Atkinson-Clément, C., Howett, D., Alkhawashki, M., Ross, J., Slater, B., Gatica, M., Balezeau, F., Zhang, C., Sallet, J., Petkov, C. I., et al. (2025) · Current Research in Neurobiology · doi:10.1016/j.crneur.2025.100148 · Cited by 8
Long-Term Improvement of Parkinson Disease Motor Symptoms Derived From Lesions of Prelemniscal Fiber Tract Components
García‐Gomar, M. G., Concha, L., Soto-Abraham, J. E., Tournier, J., Aguado-Carrillo, G., & Velasco‐Campos, F. (2020) · Operative Neurosurgery · doi:10.1093/ons/opaa186 · Cited by 8
Self-citation
Investigating white matter structure in social anxiety disorder using fixel-based analysis
Gorman, B. D. A., Calamante, F., Civier, O., DeMayo, M. M., Demetriou, E. A., Hickie, I. B., & Guastella, A. J. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.08.028 · Cited by 8
Self-citation
Top-down threat bias in pain perception is predicted by intrinsic structural and functional connections of the brain
Aristi, G., O'Grady, C. B., Bowen, C. V., Beyea, S., Lazar, S. W., & Hashmi, J. A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119349 · Cited by 10
White matter and sustained attention in children with attention/deficit-hyperactivity disorder: A longitudinal fixel-based analysis
Thomson, P., Vijayakumar, N., Fuelscher, I. T., Malpas, C. B., Hazell, P., & Silk, T. J. (2022) · Cortex · doi:10.1016/j.cortex.2022.09.006 · Cited by 9
Changes in the geometry and robustness of diffusion tensor imaging networks: Secondary analysis from a randomized controlled trial of young autistic children receiving an umbilical cord blood infusion
Simhal, A. K., Carpenter, K. L. H., Kurtzberg, J., Song, A. W., Tannenbaum, A., Zhang, L., Sapiro, G., & Dawson, G. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1026279 · Cited by 8
Aberrant frontal lobe “U”-shaped association fibers in first-episode schizophrenia: A 7-Tesla Diffusion Imaging Study
Kai, J., Mackinley, M., KHAN, A. R., & Palaniyappan, L. K. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103367 · Cited by 7
A connectome‐based approach to assess motor outcome after neonatal arterial ischemic stroke
Harrach, M. A., Pretzel, P., Groeschel, S., Rousseau, F., Dhollander, T., Hertz‐Pannier, L., Lefèvre, J., Chabrier, S., Dinomais, M., & the AVCnn study group (2021) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51292 · Cited by 8
APOE, Immune Factors, Sex, and Diet Interact to Shape Brain Networks in Mouse Models of Aging
Winter, S., Mahzarnia, A., Anderson, R. J., Han, Z. Y., Tremblay, J. T., Stout, J. A., Moon, H. S., Marcellino, D. J., Dunson, D. B., & Badea, A. (2023) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2024.110251 · Cited by 9
Tidying up white matter: Neuroplastic transformations in sensorimotor tracts following slackline skill acquisition
Koschutnig, K., Weber, B., & Fink, A. (2024) · Human Brain Mapping · doi:10.1002/hbm.26791 · Cited by 11
Multi-tensor fixel-based metrics in tractometry: application to multiple sclerosis
Hernández-Gutiérrez, E., Coronado‐Leija, R., Edde, M., Dumont, M., Houde, J., Baraković, M., Magon, S., Ramírez-Manzanares, A., & Descoteaux, M. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1467786 · Cited by 6
Fibre density and cross-section associate with hallmark pathology in early Alzheimer’s disease
Vanderlinden, G., Radwan, A., Christiaens, D., Blommaert, J., Sunaert, S. G., Vandenbulcke, M., Koole, M. J. B., & Laere, K. V. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01710-0 · Cited by 7
A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness
Alnagger, N., Cardone, P., Martial, C., Perl, Y. S., Mindlin, I., Sitt, J. D., Roseman, L., Carhart-Harris, R. L., Nutt, D., Mallaroni, P., et al. (2025) · Advanced Science · doi:10.1002/advs.202511780 · Cited by 8
Constructing the human brain metabolic connectome with MR spectroscopic imaging reveals cerebral biochemical organization
Lucchetti, F., Céléreau, E., Steullet, P., Alemán‐Gómez, Y., Hagmann, P., Klauser, A., & Klauser, P. (2025) · Nature Communications · doi:10.1038/s41467-025-66124-w · Cited by 7
Distance‐dependent distribution thresholding in probabilistic tractography
Chang, Y., Halai, A. D., & Ralph, M. A. L. (2023) · Human Brain Mapping · doi:10.1002/hbm.26330 · Cited by 10
Structural connectome alterations in anxious dogs: a DTI-based study
Chen, Q., Xu, Y., Christiaen, E., Wu, G., Witte, S. D., Vanhove, C., Saunders, J. H., Peremans, K. Y., & Baeken, C. (2023) · Scientific Reports · doi:10.1038/s41598-023-37121-0 · Cited by 8
Supervised tractogram filtering using Geometric Deep Learning
Astolfi, P., Verhagen, R., Petit, L., Olivetti, E., Sarubbo, S., Masci, J., Boscaini, D., & Avesani, P. (2023) · Medical Image Analysis · doi:10.1016/j.media.2023.102893 · Cited by 9
Rich-club reorganization of white matter structural network in schizophrenia patients with auditory verbal hallucinations following 1 Hz rTMS treatment
Guan, M., Xie, Y., Li, C., Zhang, T., Ma, C., Wang, Z., Ma, Z., Wang, H., & Fang, P. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103546 · Cited by 6
Fibre orientation atlas guided rapid segmentation of white matter tracts
Young, F., Aquilina, K., Seunarine, K. K., Mancini, L., Clark, C. A., & Clayden, J. D. (2024) · Human Brain Mapping · doi:10.1002/hbm.26578 · Cited by 7
Can structure predict function at individual level in the human connectome?
Smolders, L., Baene, W. D., Rutten, G.-J. M., van der Hofstad, R., & Florack, L. M. J. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02796-2 · Cited by 7
Short fiber bundle filtering and test-retest reproducibility of the Superficial White Matter
Mendoza, C., Román, C., Mangin, J., Hernández, C., & Guevara, P. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1394681 · Cited by 7
How fiber bundle alterations differ in presumed LATE and amnestic Alzheimer's disease
Lebrun, A., Leprince, Y., Lagarde, J., Olivieri, P., Moussion, M., Noiray, C., Bottlaender, M., & Sarazin, M. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14156 · Cited by 8
Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome
He, Y., Hong, Y., & Wu, Y. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120904 · Cited by 7
Electrophysiology and Structural Connectivity of the Posterior Hypothalamic Region: Much to Learn From a Rare Indication of Deep Brain Stimulation
Kakusa, B. W., Saluja, S., Dadey, D. Y. A., Barbosa, D. A. N., Gattas, S., Miller, K. J., Cowan, R. P., Kouyoumdjian, Z., Pouratian, N., & Halpern, C. H. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00164 · Cited by 7
Associations between different white matter properties and reward-based performance modulation
Park, H. R. P., Verhelst, H., Quak, M., Jeurissen, B., & Krebs, R. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02222-x · Cited by 9
Patterns of white and gray structural abnormality associated with paediatric demyelinating disorders
Bells, S., Longoni, G., Berenbaum, T. S., de Medeiros, C. B., Narayanan, S., Banwell, B., Arnold, D. L., Mabbott, D., & Yeh, E. A. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103001 · Cited by 7
A unified filtering method for estimating asymmetric orientation distribution functions
Poirier, C., & Descoteaux, M. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120516 · Cited by 10
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs
Kumar, S., Sreenivasan, V., Talukdar, P. P., Pestilli, F., & Sridharan, D. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.3301630 · Cited by 7
Diffusion MRI revealed altered inter-hippocampal projections in the mouse brain after intrauterine inflammation
Wu, D., Lei, J., Xie, H., Dong, J., & Burd, I. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00246-w · Cited by 8
A novel Graph Attention Network Architecture for modeling multimodal brain connectivity
Filip, A.-C., Azevedo, T., Passamonti, L., Toschi, N., & Lió, P. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9176613 · Cited by 7
White matter disruptions related to inattention and autism spectrum symptoms in tuberous sclerosis complex
Vanes, L. D., Tye, C., Tournier, J.-D., Combes, A. J. E., Shephard, E., Liang, H.-L., Barker, G., Nosarti, C., & Bolton, P. (2022) · NeuroImage: Clinical · doi:10.1016/j.nicl.2022.103163 · Cited by 7
Self-citation
Gradual changes in microarchitectural properties of cortex and juxtacortical white matter: Observed by anatomical and diffusion MRI
Ali, T., Lv, J., & Calamante, F. (2022) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29413 · Cited by 8
Self-citation
Abnormal Structural Network Communication Reflects Cognitive Deficits in Schizophrenia
Zorlu, N., Bayrakçı, A., Karakılıç, M., Zalesky, A., Seguin, C., Tian, Y., Gülyüksel, F., Yalınçetin, B., Oral, E., Gelal, F. M., et al. (2023) · Brain Topography · doi:10.1007/s10548-023-00954-z · Cited by 7
Individual structural connectivity defines propagation networks in partial epilepsyPreprint
Proix, T., Bartoloméi, F., Guye, M., & Jirsa, V. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1604.08508 · Cited by 7
Assessment of Cerebral White Matter Involvement in Amyotrophic Lateral Sclerosis Patients With Disease Progression and Cognitive Impairment by Fixel‐Based Analysis and Neurite Orientation Dispersion and Density Imaging
Xu, R., Wang, X.-M., Zhu, S., Jiang, B., Wan, J.-Y., Ma, J., Yu, Y.-X., Yu, L.-Q., Fang, Q., Hu, C.-H., et al. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29171 · Cited by 7
Deep Learning-Based Tract Classification of Preoperative DWI Tractography Advances the Prediction of Short-Term Postoperative Language Improvement in Children With Drug-Resistant Epilepsy
Lee, M., Banerjee, S., Uda, H., Carlson, A., Dong, M., Rothermel, R., Juhász, C., Asano, E., & Jeong, J. (2024) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2024.3463481 · Cited by 5
Clinical connectomics: Mapping structural brain networks in disease
Zalesky, A., & Biase, M. A. D. (2026) · Neuron · doi:10.1016/j.neuron.2026.02.007 · Cited by 7
GeoLab: Geometry-Based Tractography Parcellation of Superficial White Matter
Vindas, N., Labra, N., Zhang, F., Xue, T., O’Donnell, L. J., & Mangin, J. (2023) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi53787.2023.10230336 · Cited by 6
White matter changes after Gamma Knife Capsulotomy in patients with intractable obsessive-compulsive disorder
Spatola, G., Triebkorn, P., Richieri, R., Baunez, C., Farisse, J., Cretol, A., Guedj, E., Jirsa, V., & Régis, J. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e34699 · Cited by 6
Quantitative phenotyping of verbal and non-verbal cognitive impairment using diffusion-weighted MRI connectome: Preliminary study of the crowding effect in children with left hemispheric epilepsy
Jeong, J., Lee, M., Behen, M. E., Uda, H., Gjolaj, N., Luat, A. F., Asano, E., & Juhász, C. (2024) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2024.110009 · Cited by 6
Network connectivity underlying information processing speed in children: Application of a pediatric brain tumor survivor injury model
Dahhan, N. Z. A., Powanwe, A. S., Ismail, M., Cox, E., Tseng, J., de Medeiros, C. B., Laughlin, S., Bouffet, É., Lefebvre, J., & Mabbott, D. (2024) · NeuroImage Clinical · doi:10.1016/j.nicl.2024.103678 · Cited by 6
Global tractography
Daducci, A., Schiavi, S., Christiaens, D., Smith, R. E., & Alexander, D. C. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00014-8 · Cited by 7
Self-citation
Chronobiotic effect of melatonin in experimental optic neuritis
Aranda, M. L., Narvaez, O., Altschuler, F., Calanni, J. S., Fleitas, M. F. G., Sande, P. H., Dorfman, D., Concha, L., & Rosenstein, R. E. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.108401 · Cited by 6
Anisotropy Across Fields and Scales
Özarslan, E., Schultz, T., Zhang, E., & Fuster, A. (2021) · Mathematics and visualization · doi:10.1007/978-3-030-56215-1 · Cited by 6
Structural connectivity differs between males and females in the brain object manipulation network
Lee, D., & Son, T. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253273 · Cited by 7
Remote Corticospinal Tract Degeneration After Cortical Stroke in Rats May Not Preclude Spontaneous Sensorimotor Recovery
Sinke, M. R. T., van Tilborg, G. A. F., Meerwaldt, A. E., Heijningen, C. L. V., van der Toorn, A., Straathof, M., Rakib, F., Ali, M. H. M., Al‐Saad, K. A., Otte, W. M., et al. (2021) · Neurorehabilitation and neural repair · doi:10.1177/15459683211041318 · Cited by 6
Incorporating outlier information into diffusion-weighted MRI modeling for robust microstructural imaging and structural brain connectivity analyses
Sairanen, V., Ocampo‐Pineda, M., Granziera, C., Schiavi, S., & Daducci, A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118802 · Cited by 7
Cingulum bundle connectivity in treatment-refractory compared to treatment-responsive patients with bipolar disorder and healthy controls: a tractography and surgical targeting analysis
Sweet, J. A., Gao, K., Chen, Z., Tatsuoka, C., Calabrese, J. R., Sajatovic, M., Miller, J. P., & McIntyre, C. C. (2022) · Journal of neurosurgery · doi:10.3171/2021.11.jns211833 · Cited by 6
Orientation selective DBS of entorhinal cortex and medial septal nucleus modulates activity of rat brain areas involved in memory and cognition
Wu, L., Canna, A., Narvaez, O., Ma, J., Sang, S., Lehto, L. J., Sierra, A., Tanila, H., Zhang, Y., Gröhn, O. H. J., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-12383-2 · Cited by 9
Structural connectivity and intelligence in brain-injured children
Oyefiade, A. A., Moxon‐Emre, I., Beera, K., Bouffet, É., Taylor, M. D., Ramaswamy, V., Laughlin, S., Skocic, J., & Mabbott, D. (2022) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2022.108285 · Cited by 6
Efficient Estimation of Time-Dependent Brain Functional Connectivity Using Anatomical Connectivity Constraints
Hernandez, H., Araya, D., Rodríguez, L. L. G., Román, C., Trujillo‐Barreto, N. J., Guevara, P., & El‐Deredy, W. (2023) · IEEE Access · doi:10.1109/access.2023.3277731 · Cited by 8
A Macro-Structural Dispersion Characteristic of Brain White Matter and Its Application to Bipolar Disorder
Demir, A., Özkan, M., & Uluğ, A. M. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.3002688 · Cited by 6
Disruption of structural brain networks in Primary Open Angle Glaucoma
Ciò, F. D., Garaci, F. G., Minosse, S., Passamonti, L., Martucci, A., Lanzafame, S., Giuliano, F. D., Picchi, E., Mancino, R., Guerrisi, M., et al. (2020) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc44109.2020.9175417 · Cited by 6
Challenges for Tractogram Filtering
Jörgens, D., Descoteaux, M., & Moreno, R. (2021) · Mathematics and visualization · doi:10.1007/978-3-030-56215-1_7 · Cited by 9
Tensor and non-tensor tractography for the assessment of the corticospinal tract of children with motor disorders: a comparative study
Stefanou, M., Lumsden, D. E., Ashmore, J., Ashkan, K., Lin, J., & Charles‐Edwards, G. (2016) · Neuroradiology · doi:10.1007/s00234-016-1721-y · Cited by 6
Age-related differences in white matter: Comparing fixel based and tensor based analysesPreprint
Kelley, S., Plass, J., Bender, A. R., & Polk, T. (2019) · bioRxiv · doi:10.1101/751628 · Cited by 7
Assessing white matter pathway reproducibility from human whole-brain tractography clusteringPreprint
Kai, J., & KHAN, A. R. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/833095 · Cited by 6
Modulation of white matter bundle connectivity in the presence of axonal truncation pathologiesPreprint
Smith, R. E., Calamante, F., Gajamange, S. I., Kolbe, S., & Connelly, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.14.903559 · Cited by 6
Self-citation
A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects
Xiao, Y., Gilmore, G., Kai, J., Lau, J. C., Peters, T. M., & KHAN, A. R. (2023) · Data in Brief · doi:10.1016/j.dib.2023.109513 · Cited by 6
Contributions of connectional pathways to shaping Alzheimer’s disease pathologies
Bougacha, S., Roquet, D., Landeau, B., Saul, E., Naveau, M., Sherif, S., Bejanin, A., Dhénain, M., Raj, A., Vivien, D., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae459 · Cited by 6
Sleep Differentially and Profoundly Impairs Recall Memory in a Patient with Fornix Damage
Matorina, N., Tseng, J., Ladyka-Wojcik, N., Olsen, R., Mabbott, D., & Barense, M. D. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02038 · Cited by 5
Evaluation of tractography-based myelin-weighted connectivity across the lifespan
Bosticardo, S., Schiavi, S., Schaedelin, S. A., Battocchio, M., Baraković, M., Lu, P., Weigel, M., Melie‐García, L., Granziera, C., & Daducci, A. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1228952 · Cited by 6
From pixels to connections: exploring in vitro neuron reconstruction software for network graph generation
Hoffmann, C., Cho, H., Zalesky, A., & Biase, M. A. D. (2024) · Communications Biology · doi:10.1038/s42003-024-06264-9 · Cited by 6
A practical guide for combining functional regions of interest and white matter bundles
Meisler, S. L., Kubota, E. C., Grotheer, M., Gabrieli, J. D. E., & Kalanit Grill-spector, A. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1385847 · Cited by 11
Fixel-based and tensor-derived white matter abnormalities in relation to memory impairment and neurocognitive disorders
Billaud, C., & Yu, J.-H. (2024) · GeroScience · doi:10.1007/s11357-024-01340-8 · Cited by 5
Distributed associations among white matter hyperintensities and structural brain networks with fluid cognition in healthy aging
Rudolph, M. D., Cohen, J. R., & Madden, D. J. (2024) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-024-01219-3 · Cited by 7
TractOracle: Towards an Anatomically-Informed Reward Function for RL-Based Tractography
Théberge, A., Descoteaux, M., & Jodoin, P. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72069-7_45 · Cited by 5
Structural connectivity of thalamic subnuclei in major depressive disorder: An ultra-high resolution diffusion MRI study at 7-Tesla
Liu, W., Heij, J., Liu, S., Liebrand, L. C., Caan, M. W. A., van der Zwaag, W., Veltman, D. J., Lü, L., Aghajani, M., & van Wingen, G. A. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.11.009 · Cited by 5
Longitudinal changes in brain connectivity correlate with neuropsychological testing in brain tumor resection patients
Ellis, D. G., Warren, D. E., Garlinghouse, M., & Aizenberg, M. R. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1532433 · Cited by 5
Fixel‐Based Analysis Reveals Whole‐Brain White Matter Abnormalities in Cervical Dystonia
Zito, G., Tarrano, C., Ouarab, S., Jegatheesan, P., Ekmen, A., Béranger, B., Valabrègue, R., Hubsch, C., Sangla, S., Bonnet, C., et al. (2023) · Movement Disorders · doi:10.1002/mds.29425 · Cited by 6
Randomized iterative spherical‐deconvolution informed tractogram filtering
Hain, A., Jörgens, D., & Moreno, R. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120248 · Cited by 6
Globally altered microstructural properties and network topology in Rasmussen’s encephalitis
Held, N. R., Bauer, T., Reiter, J. T., Hoppe, C., Keil, V. C. W., Radbruch, A., Helmstaedter, C., Surges, R., & Rüber, T. (2023) · Brain Communications · doi:10.1093/braincomms/fcad290 · Cited by 6
MVComp toolbox: MultiVariate Comparisons of brain MRI features accounting for common information across measures
Tremblay, S. A., Alasmar, Z., Pirhadi, A., Carbonell, F., Iturria‐Medina, Y., Gauthier, C. J., & Steele, C. J. (2024) · Aperture Neuro · doi:10.52294/001c.118427 · Cited by 8
Recovering high‐quality fiber orientation distributions from a reduced number of diffusion‐weighted images using a model‐driven deep learning architecture
Bartlett, J. J., Davey, C., Johnston, L., & Duan, J.-M. (2023) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30187 · Cited by 10
Linking spherical mean diffusion weighted signal with intra-axonal volume fraction
Li, H., Chow, H.-M., Chugani, D., & Chugani, H. (2018) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2018.11.006 · Cited by 23
Abnormal structural connectivity in progressive supranuclear palsy—Richardson syndrome
Prasad, S., Rajan, A., Pasha, S. A., Mangalore, S., Saini, J. S., Ingalhalikar, M., & Pal, P. K. (2020) · Acta Neurologica Scandinavica · doi:10.1111/ane.13372 · Cited by 5
Tracking the visual system—from the optic chiasm to primary visual cortex
Puźniak, R. J., Prabhakaran, G. T., Buentjen, L., Schmitt, F. C., & Hoffmann, M. B. (2020) · Clinical Epileptology · doi:10.1007/s10309-020-00384-y · Cited by 5
Structural network alterations in patients with nasopharyngeal carcinoma after radiotherapy: A 1-year longitudinal study
Zhang, X., Pan, J., Lin, Y., Fu, G. C., Xu, P., Liang, J., Ye, C., Peng, J., Lv, X., Yang, Y., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1059320 · Cited by 5
The impact of temporal lobe epilepsy surgery on picture naming and its relationship to network metric change
Binding, L. P., Taylor, P. N., O’Keeffe, A. G., Giampiccolo, D., Fleury, M. N., Xiao, F., Caciagli, L., de Tisi, J., Winston, G. P., Miserocchi, A., et al. (2023) · NeuroImage Clinical · doi:10.1016/j.nicl.2023.103444 · Cited by 5
Progressive white matter degeneration in patients with spinocerebellar ataxia type 2
Tu, Y., Li, Z., Xiong, F., & Gao, F. (2023) · Neuroradiology · doi:10.1007/s00234-023-03260-4 · Cited by 6
Relating quantitative 7T MRI across cortical depths to cytoarchitectonics, gene expression and connectomics: a framework for tracking neurodegenerative diseasePreprint
McColgan, P., Helbling, S., Vaculčiaková, L., Pine, K., Wagstyl, K., Attar, F. M., Edwards, L., Papoutsi, M., Wei, Y., van den Heuvel, M. P., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.05.935080 · Cited by 5
Notes on “A cautionary note on the use of SIFT in pathological connectomes”
Smith, R., Calamante, F., & Connelly, A. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28266 · Cited by 4
Self-citation
Evidence for adaptive myelination of subcortical shortcuts for visual motion perception in healthy adults
Rowe, E. G., Zhang, Y., & Garrido, M. (2023) · bioRxiv · doi:10.1002/hbm.26467 · Cited by 4
Investigating the role of structural connectivity in the individuals with moderate hearing loss
Quddus, A. R., Pervin, M. S., Zinchenko, A., & Al-Amin, M. M. (2024) · Brain Disorders · doi:10.1016/j.dscb.2024.100165 · Cited by 4

Authors: Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A.
Affiliations: The University of Melbourne (AU)
Corresponding author: Smith, Robert E.
ORCID: Smith, Robert E.
Tournier, Jacques-Donald
Calamante, Fernando
Connelly, Alan
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2013-02
Volume: 67
Pages: 298-312
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2012.11.049
OpenAlex: W1995138343
Cited by: 752
References: 35
Citations by year: 2026: 66 · 2025: 82 · 2024: 82 · 2023: 78 · 2022: 69 · 2021: 91 · 2020: 80 · 2019: 49 · 2018: 53 · 2017: 35 · 2016: 29 · 2015: 18 · 2014: 11 · 2013: 9
FWCI: 9.18
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Research Portal (King's College London) (submittedVersion)
Funders: National Health and Medical Research Council (NHMRC) of Australia
Australian Research Council
Austin Health
Dowd Foundation Research Scholarship for Neuroscience
Victorian Government's Operational Infrastructure Support Program
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: tractography, spherical deconvolution, diffusion MRI, structural connectivity, reconstruction bias
MeSH terms: Algorithms, Brain, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Nerve Fibers, Myelinated, Sensitivity and Specificity, Software, Reproducibility of Results, Imaging, Three-Dimensional, 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

SIFT: Spherical-deconvolution informed filtering of tractograms

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