In vivo exploration of the connectivity between the subthalamic nucleus and the globus pallidus in the human brain using multi-fiber tractography
Open accessAbstract
The basal ganglia is part of a complex system of neuronal circuits that play a key role in the integration and execution of motor, cognitive and emotional function in the human brain. Deep Brain Stimulation (DBS) of the subthalamic nucleus and the globus pallidus pars interna provides an efficient treatment to reduce symptoms and levodopa-induced side effects in Parkinson’s Disease patients. While the underlying mechanism of action of DBS is still unknown, the potential modulation of white matter tracts connecting the surgical targets has become an active area of research. With the introduction of advanced diffusion MRI acquisition sequences and sophisticated post-processing techniques, the architecture of the human brain white matter can be explored in-vivo. The goal of this study is to investigate the white matter connectivity between the subthalamic nucleus and the globus pallidus. Two multi-fiber tractography methods were used to reconstruct pallido-subthalamic, subthalamo-pallidal and pyramidal fibers in five healthy subjects datasets of the Human Connectome Project. The anatomical accuracy of the identified tracts was evaluated by two expert neuroanatomists. Both multi-fiber approaches enabled the detection of complex fiber architecture in the basal ganglia. The evaluation by the neuroanatomists showed that the identified tracts were in agreement with the expected anatomy. False-negative tracts demonstrated the current limitations of the methods for clinical decision-making. Multi-fiber tractography methods combined with state-of-the art diffusion MRI data have the potential to help identify white matter tracts connecting DBS targets in functional neurosurgery intervention.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Preoperative tractography can guide deep brain stimulation (DBS) or MR-guided focused ultrasound (MRgFUS) planning, identify the structural connectivity of the volume of tissue activated, and help avoid pathways associated with motor, cognitive, or mood-related adverse effects.
“Preoperative tractography can guide deep brain stimulation (DBS) or MR-guided focused ultrasound (MRgFUS) planning, identify the structural connectivity of the volume of tissue activated, and help avoid pathways associated with motor, cognitive, or mood-related adverse effects (Pujol et al., 2017; Rajamani et al., 2024; Vanegas-Arroyave et al., 2016).”
From 40 Years of diffusion MRI in the brain: From history to emerging frontiers (2026) · cites this paper as Pujol et al., 2017
Split into 3 atoms — 0 confirmed, 3 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314 · see citing works
Marching cubes: A high resolution 3D surface construction algorithm
Lorensen, W. E., & Cline, H. E. (1987) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/37401.37422 · Cited by 10,143 · see citing works
3D Slicer as an image computing platform for the Quantitative Imaging Network
Fedorov, A., Beichel, R., Kalpathy–Cramer, J., Finet, J., Fillion‐Robin, J., Pujol, S., Bauer, C., Jennings, D. L., Fennessy, F., Milan Sonka, A., et al. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.05.001 · Cited by 9,095 · see citing works
Self-citationThe WU-Minn Human Connectome Project: An overview
Van Essen, D. C., Smith, S. M., Barch, D. M., Behrens, T. E. J., Yacoub, E., & Ugurbil, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.041 · Cited by 5,651 · see citing works
The minimal preprocessing pipelines for the Human Connectome Project
Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J. R., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.127 · Cited by 5,253 · see citing works
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912 · see citing works
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Bihan, D. L. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,656 · 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
Andersson, J., & Sotiropoulos, S. N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.019 · Cited by 3,439 · see citing works
Neurodegenerative Disorders: Parkinson's Disease and Huntington's Disease
Hague, S., Klaffke, S., & Bandmann, O. (2006) · IMPERIAL COLLEGE PRESS eBooks · doi:10.1142/9781860948961_0007 · Cited by 2,767 · see citing works
Diffusion tensor imaging of the brain
Alexander, A. L., Lee, J. E., Lazar, M., & Field, A. S. (2007) · Neurotherapeutics · doi:10.1016/j.nurt.2007.05.011 · Cited by 2,747 · see citing works
Toward a quantitative assessment of diffusion anisotropy
Pierpaoli, C. M., & Basser, P. J. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360612 · Cited by 2,392 · 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
Optical Deconstruction of Parkinsonian Neural Circuitry
Gradinaru, V., Mogri, M., Thompson, K. R., Henderson, J. M., & Deisseroth, K. A. (2009) · Science · doi:10.1126/science.1167093 · Cited by 1,536 · see citing works
Jeurissen, B., Tournier, J.-D., Dhollander, T., Connelly, A., & Sijbers, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.061 · Cited by 1,484 · see citing works
Benabid, A., Pollak, P., Louveau, A., Henry, S., & de Rougemont, J. (1987) · Stereotactic and Functional Neurosurgery · doi:10.1159/000100803 · Cited by 1,387 · see citing works
MRtrix: Diffusion tractography in crossing fiber regions
Tournier, J., Calamante, F., & Connelly, A. (2012) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22005 · Cited by 1,370 · see citing works
Parent, A., & Hazrati, L. (1995) · Brain Research Reviews · doi:10.1016/0165-0173(94)00008-d · Cited by 1,351 · see citing works
Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.005 · Cited by 1,216 · see citing works
Circuits and Circuit Disorders of the Basal Ganglia
DeLong, M. R., & Wichmann, T. (2007) · Archives of Neurology · doi:10.1001/archneur.64.1.20 · Cited by 1,074 · see citing works
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
Sotiropoulos, S. N., Jbabdi, S., Xu, J., Andersson, J., Moeller, S., Auerbach, E. J., Glasser, M. F., Hernandez, M., Sapiro, G., Jenkinson, M., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.057 · Cited by 872 · see citing works
Functional Neuroanatomy of the Basal GangliaPreprint
Lanciego, J. L., Luquin, N., & Obeso, J. A. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a009621 · Cited by 847 · see citing works
Uğurbil, K., Xu, J., Auerbach, E. J., Moeller, S., Vu, A. T., Duarte-Carvajalino, J. M., Lenglet, C., Wu, X., Schmitter, S., Van de Moortele, P. F., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.012 · Cited by 812 · see citing works
Projections of the lentiform nucleus in the monkey
Nauta, W. J. H., & Mehler, W. R. (1966) · Brain Research · doi:10.1016/0006-8993(66)90103-x · Cited by 787 · see citing works
SIFT: Spherical-deconvolution informed filtering of tractograms
Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.049 · Cited by 752 · see citing works
The subthalamic nucleus in the context of movement disorders
Hamani, C. (2003) · Brain · doi:10.1093/brain/awh029 · Cited by 586 · see citing works
Haynes, W. I. A., & Haber, S. N. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4674-12.2013 · Cited by 517 · see citing works
Network perspectives on the mechanisms of deep brain stimulation
McIntyre, C. C., & Hahn, P. J. (2010) · Neurobiology of Disease · doi:10.1016/j.nbd.2009.09.022 · Cited by 439 · see citing works
Calamante, F., Tournier, J., Jackson, G. D., & Connelly, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.024 · Cited by 399 · see citing works
Yelnik, J., Bardinet, É., Dormont, D., Malandain, G., Sebastien Ourselin, A., Tandé, D., Karachi, C., Ayache, N., Cornu, P., & Agid, Y. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.026 · Cited by 304 · see citing works
Self-citationShink, É., Bevan, M. D., Bolam, J. P., & Smith, Y. (1996) · Neuroscience · doi:10.1016/0306-4522(96)00022-x · Cited by 296 · see citing works
Andersson, J., & Sotiropoulos, S. N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.067 · Cited by 249 · see citing works
Multiple‐Fiber Reconstruction Algorithms for Diffusion MRI
Alexander, D. C. (2005) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1340.018 · Cited by 239 · see citing works
Modulation of the Cerebello-Thalamo-Cortical Network in Thalamic Deep Brain Stimulation for Tremor
Coenen, V. A., Allert, N., Paus, S., Kronenbürger, M., Urbach, H., & Mädler, B. (2014) · Neurosurgery · doi:10.1227/neu.0000000000000540 · Cited by 235 · see citing works
Percheron, G., Yelnik, J., & François, C. (1984) · The Journal of Comparative Neurology · doi:10.1002/cne.902270207 · Cited by 226 · see citing works
Self-citationThe organization of the descending ventral pallidal projections in the monkey
Haber, S., Lynd-Balta, E., & Mitchell, S. (1993) · The Journal of comparative neurology · doi:10.1002/cne.903290108 · Cited by 184 · see citing works
Pujol, S., Wells, W., Pierpaoli, C., Brun, C., Gee, J., Cheng, G., Vemuri, B., Commowick, O., Prima, S., Stamm, A., et al. (2015) · Journal of Neuroimaging · doi:10.1111/jon.12283 · Cited by 171 · see citing works
Self-citationLenglet, C., Abosch, A., Yacoub, E., De Martino, F., Sapiro, G., & Harel, N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029153 · Cited by 164 · see citing works
Neurophysiological effects of stimulation through electrodes in the human subthalamic nucleus
Ashby, P., Kim, Y. J., Kumar, R., Lang, A. E., & Lozano, A. M. (1999) · Brain · doi:10.1093/brain/122.10.1919 · Cited by 159 · see citing works
Meyer, A. (1902) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-190211000-00028 · Cited by 156 · see citing works
Ball and rackets: inferring fiber fanning from diffusion-weighted MRI
Sotiropoulos, S. N., Behrens, T. E. J., & Jbabdi, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.056 · Cited by 156 · see citing works
Tractography patterns of subthalamic nucleus deep brain stimulation
Vanegas-Arroyave, N., Lauro, P. M., Huang, L., Hallett, M., Horovitz, S. G., Zaghloul, K. A., & Lungu, C. (2016) · Brain · doi:10.1093/brain/aww020 · Cited by 137 · see citing works
Karachi, C., Yelnik, J., Tandé, D., Tremblay, L., Hirsch, É. C., & François, C. (2004) · Movement Disorders · doi:10.1002/mds.20302 · Cited by 130 · see citing works
Self-citationMakris, N., Yogesh Rathi, A., Mouradian, P., Bonmassar, G., Papadimitriou, G., Ing, W. I., Yeterian, E. H., Kubicki, M. R., Eskandar, E. N., Wald, L. L., et al. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9462-9 · Cited by 128 · see citing works
Bardinet, É., Bhattacharjee, M., Dormont, D., Pidoux, B., Malandain, G., Schüpbach, M. W. M., Ayache, N., Cornu, P., Agid, Y., & Yelnik, J. (2008) · Journal of neurosurgery · doi:10.3171/2008.3.17469 · Cited by 128 · see citing works
Self-citationDeep brain stimulation for movement disorders
Fasano, A. A., & Lozano, A. M. (2015) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000226 · Cited by 120 · see citing works
Henderson, J. M. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00015 · Cited by 111 · see citing works
Functional Repression of cAMP Response Element in 6-Hydroxydopamine-treated Neuronal Cells*
Chalovich, E. M., Zhu, J.-H., Caltagarone, J., Bowser, R., & Chu, C. T. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m602632200 · Cited by 108 · see citing works
Qazi, A. A., Radmanesh, A., O’Donnell, L. J., Kindlmann, G., Peled, S., Whalen, S., Westin, C., & Golby, A. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.06.034 · Cited by 100 · see citing works
Diffusion Tractography in Deep Brain Stimulation Surgery: A Review
Calabrese, E. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00045 · Cited by 88 · see citing works
Sweet, J. A., Walter, B. L., Gunalan, K., Chaturvedi, A., McIntyre, C. C., & Miller, J. P. (2014) · Journal of neurosurgery · doi:10.3171/2013.12.jns131537 · Cited by 81 · see citing works
Surgical Treatment of Parkinson's Disease: Patients, Targets, Devices, and Approaches
Shukla, A. W., & Okun, M. S. (2013) · Neurotherapeutics · doi:10.1007/s13311-013-0235-0 · Cited by 77 · see citing works
Neuroimaging and Deep Brain Stimulation
Dormont, D., Seidenwurm, D. J., Damien Galanaud, E., Cornu, P., Yelnik, J., & Bardinet, É. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1644 · Cited by 74 · see citing works
Self-citationUltra-high field magnetic resonance imaging of the basal ganglia and related structures
Plantinga, B. R., Temel, Y., Roebroeck, A. F., Uludaǧ, K., Ivanov, D., Kuijf, M. L., & Romeny, B. M. T. H. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00876 · Cited by 59 · see citing works
Topographic organization of the human and non-human primate subthalamic nucleus
Alkemade, A., Schnitzler, A., & Forstmann, B. U. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1047-2 · Cited by 57 · see citing works
PyDBS: an automated image processing workflow for deep brain stimulation surgery
D’Albis, T., Haegelen, C., Essert, C., Fernández-Vidal, S., Lalys, F., & Jannin, P. (2014) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-014-1007-y · Cited by 52 · see citing works
Self-citationCalbindin D-28k as a marker for the associative cortical territory of the striatum in macaque
François, C., Yelnik, J., Percheron, G., & Tandé, D. (1994) · Brain Research · doi:10.1016/0006-8993(94)91557-1 · Cited by 51 · see citing works
Self-citationRozanski, V. E., Vollmar, C., Cunha, J. P. S., Tafula, S. M. N., Ahmadi, S., Patzig, M., Mehrkens, J., & Bötzel, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.009 · Cited by 50 · see citing works
Kernel regression estimation of fiber orientation mixtures in diffusion MRI
Cabeen, R. P., Bastin, M. E., & Laidlaw, D. H. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.061 · Cited by 37 · see citing works
Self-citationA role of diffusion tensor imaging in movement disorder surgery
Barkhoudarian, G., Klochkov, T., Sedrak, M. F., Frew, A., Gorgulho, A. A., Behnke, E., & Salles, A. D. (2010) · Acta Neurochirurgica · doi:10.1007/s00701-010-0742-2 · Cited by 35 · see citing works
Torres, C. V., Manzanares, R., & de Sola, R. G. (2014) · Stereotactic and Functional Neurosurgery · doi:10.1159/000362937 · Cited by 29 · see citing works
White matter anatomy of the human deep brain revisited with high resolution DTI fibre tracking
Lemaire, J., Cosnard, G., Sakka, L. J., Nuti, C., Gradkowski, W., Mori, S., & Hermoye, L. (2011) · Neurochirurgie · doi:10.1016/j.neuchi.2011.04.001 · Cited by 27 · see citing works
Tractographical model of the cortico‐basal ganglia and corticothalamic connections
Avecillas-Chasin, J. M., Rascón-Ramírez, F. J., & Barcia, J. A. (2016) · Clinical Anatomy · doi:10.1002/ca.22689 · Cited by 18 · see citing works
Krack, P., & Hariz, M. I. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70270-3 · Cited by 15 · see citing works
Magnetic Resonance Techniques Applied to the Diagnosis and Treatment of Parkinson’s Disease
Alonso, B. D. C., Hidalgo-Tobón, S., Menéndez‐González, M., Salas-Pacheco, J. M., & Arias-Carrión, Ó. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00146 · Cited by 15 · see citing works
Estimating Constrained Multi-fiber Diffusion MR Volumes by Orientation Clustering
Cabeen, R. P., Bastin, M. E., & Laidlaw, D. H. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40811-3_11 · Cited by 8 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Diffusion tensor imaging in Parkinson's disease: Review and meta-analysis
Atkinson-Clément, C., Pinto, S., Eusébio, A., & Coulon, O. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.07.011 · Cited by 270 · see citing works
Probabilistic sweet spots predict motor outcome for deep brain stimulation in Parkinson disease
Dembek, T., Roediger, J., Horn, A., Reker, P., Oehrn, C., Dafsari, H., Li, N.-F., Kühn, A., Fink, G., Visser-Vandewalle, V., et al. (2019) · Annals of Neurology · doi:10.1002/ana.25567 · Cited by 199 · see citing works
Anatomy and Connectivity of the Subthalamic Nucleus in Humans and Non-human Primates
Emmi, A., Antonini, A., Macchi, V., Porzionato, A., & De, R. (2020) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2020.00013 · Cited by 84 · see citing works
A Comprehensive Review of Brain Connectomics and Imaging to Improve Deep Brain Stimulation Outcomes
Wong, J. K., Middlebrooks, E. H., Grewal, S. S., Almeida, L., Hess, C. W., & Okun, M. S. (2020) · Movement Disorders · doi:10.1002/mds.28045 · Cited by 64 · see citing works
Seventy years of pallidotomy for movement disorders
Cif, L., & Hariz, M. (2017) · Movement Disorders · doi:10.1002/mds.27054 · Cited by 31 · see citing works
Resting‐State Functional Connectivity Predicts STN DBS Clinical Response
Younce, J. R., Campbell, M. C., Hershey, T. G., Tanenbaum, A., Milchenko, M. V., Ushe, M., Karimi, M., Tabbal, S. D., Kim, A. E., Snyder, A. Z., et al. (2020) · Movement Disorders · doi:10.1002/mds.28376 · Cited by 41 · see citing works
Deep Brain Stimulation: Emerging Tools for Simulation, Data Analysis, and Visualization
Wårdell, K., Nordin, T., Vogel, D., Zsigmond, P., Westin, C., Hariz, M. I., & Hemm, S. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.834026 · Cited by 26 · see citing works
Mapping tracts in the human subthalamic area by 11.7T ex vivo diffusion tensor imaging
Oishi, K., Mori, S., Troncoso, J. C., & Lenz, F. A. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02066-x · Cited by 23 · see citing works
Nordin, T., Zsigmond, P., Pujol, S., Westin, C., & Wårdell, K. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102026 · Cited by 20 · see citing works
Self-citationSébille, S. B., Rolland, A., Welter, M., Bardinet, É., & Santin, M. D. (2018) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2018.10.010 · Cited by 17 · see citing works
Self-citationA Scientometric Analysis of the 100 Most Cited Articles on Pallidotomy
Agrawal, M., Garg, K., Samala, R., Rajan, R., & Singh, M. (2021) · Stereotactic and Functional Neurosurgery · doi:10.1159/000516237 · Cited by 10 · see citing works
Butenko, K., Li, N., Neudorfer, C., Roediger, J., Horn, A., Wenzel, G. R., Eldebakey, H., Kühn, A. A., Reich, M. M., Volkmann, J., et al. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103185 · Cited by 10 · see citing works
Lemaire, J., Chaix, R., Dautkulova, A., Sontheimer, A., Coste, J., Marquès, A., Wohrer, A., Chassain, C., Ouachikh, O., Ait-Aider, O., et al. (2024) · Scientific Data · doi:10.1038/s41597-024-04053-x · Cited by 5 · see citing works
Kim, A.-Y., Oh, C., Im, H., & Baek, H. (2020) · Experimental Neurobiology · doi:10.5607/en.2020.29.1.80 · Cited by 4 · see citing works
Loução, R., Köcher, M., Brandt, G. A., Petry‐Schmelzer, J. N., Barbe, M. T., Dafsari, H. S., Mana, J., Jech, R., Wirths, J., Visser-Vandewalle, V. E. R. M., et al. (2025) · Stereotactic and Functional Neurosurgery · doi:10.1159/000546716 · Cited by 2 · see citing works
40 Years of diffusion MRI in the brain: From history to emerging frontiers
Le Bihan, D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1365
“…(DBS) or MR-guided focused ultrasound (MRgFUS) planning, identify the structural connectivity of the volume of tissue activated, and help avoid pathways associated with motor, cognitive, or mood-related adverse effects ( Pujol et al., 2017; Rajamani et al., 2024; Vanegas-Arroyave et al., 2016).”
Towards the Connectome – Inching Closer Along the Frontiers of Neuroscience
Brusko, G. D., & Wang, M. Y. (2019) · Neurosurgery · doi:10.1093/neuros/nyz032
Demenzen und andere neurodegenerative Erkrankungen
Osborn, A. G., & Scheel, M. (2019) · Elsevier eBooks · doi:10.1016/b978-3-437-21041-9.00033-9
Connectomic DBS in Parkinson’s disease, essential tremor and dystonia
Ferreira, F., & Akram, H. (2022) · Connectomic Deep Brain Stimulation · doi:10.1016/b978-0-12-821861-7.00005-1 · Cited by 1 · see citing works
Palmese, C. A., Wyman‐Chick, K. A., & York, M. K. (2025) · doi:10.1093/9780197689264.003.0015
- Authors
- Pujol, S., Cabeen, R., Sébille, S. B., Yelnik, J., François, C., Fernandez Vidal, S., Karachi, C., Zhao, Y., Cosgrove, G. R., Jannin, P., Kikinis, R., & Bardinet, E.
- Affiliations
- Brigham and Women's Hospital (US)
- Brown University (US)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Corresponding author
- Pujol, Sonia
- ORCID
- Venue
- Frontiers in Neuroanatomy
- Publisher
- Frontiers Media SA
- Published
- 2017-01-19
- Volume
- 10
- Pages
- 119-119
- ISSN
- 1662-5129 (ISSN-L)
- PMC
- PMC5243825
- OpenAlex
- W2578397323
- Cited by
- 21
- References
- 67
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2022: 2 · 2021: 2 · 2020: 5 · 2019: 4 · 2018: 1 · 2017: 3
- FWCI
- 2.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Neuroanatomy (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- HAL (submittedVersion, cc-by)
- Funders
- Agence Nationale de la Recherche (ANR-10-EQPX-0015, ANR-10-IAIHU06, ANR-10-EQPX-15, 10-IAIHU-06, ANR-11-INBS, ANR-11-INBS-0006, ANR-10, ANR-10-EQPX)
- Fondation Bettencourt Schueller
- National Institutes of Health (U54MH091657, ANR-10-IAIHU-06)
- McDonnell Center for Systems Neuroscience (U54MH091657)
- National Institute of Biomedical Imaging and Bioengineering (P41EB015902, P41EB015898)
- NIH Blueprint for Neuroscience Research (U54MH091657)
- CHIST-ERA
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- subthalamic nucleus, globus pallidus internus, basal ganglia, white matter connectivity, deep brain stimulation, Parkinson's disease, diffusion MRI, Human Connectome Project
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