A fast diffeomorphic image registration algorithm
Abstract
This paper describes DARTEL, which is an algorithm for diffeomorphic image registration. It is implemented for both 2D and 3D image registration and has been formulated to include an option for estimating inverse consistent deformations. Nonlinear registration is considered as a local optimisation problem, which is solved using a Levenberg-Marquardt strategy. The necessary matrix solutions are obtained in reasonable time using a multigrid method. A constant Eulerian velocity framework is used, which allows a rapid scaling and squaring method to be used in the computations. DARTEL has been applied to intersubject registration of 471 whole brain images, and the resulting deformations were evaluated in terms of how well they encode the shape information necessary to separate male and female subjects and to predict the ages of the subjects.
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Participants had an IQ score greater than 70 on the Kaufman Brief Intelligence Test, Second Edition (KBIT-2).
“an IQ score greater than 70 on the Kaufman Brief Intelligence Test, Second Edition (KBIT-2).35”
From Distinct and shared therapeutic neural mechanisms of mindfulness-based and social support stress reduction groups in adults with autism spectrum disorder (2023) · cites this paper as [35]
Cites
Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1994) · Cited by 15,411 · see citing works
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507 · see citing works
Self-citationA Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561 · see citing works
Nineteen Dubious Ways to Compute the Exponential of a Matrix, Twenty-Five Years Later
Moler, C., & Van Loan, C. (2003) · SIAM Review · doi:10.1137/s00361445024180 · Cited by 2,357 · see citing works
Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms
Beg, M. F., Miller, M. I., Trouvé, A., & Laurent Younes, B. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000043755.93987.aa · Cited by 1,725 · see citing works
Medical Image Computing and Computer-Assisted Intervention — MICCAI’98
Roche, A., Malandain, G., Pennec, X., & Ayache, N. (1998) · Lecture notes in computer science · doi:10.1007/bfb0056181 · Cited by 1,578 · see citing works
A Riemannian Framework for Tensor Computing
Pennec, X., Fillard, P., & Ayache, N. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-3222-z · Cited by 1,553 · see citing works
Deformable templates using large deformation kinematics
Christensen, G. E., Rabbitt, R. D., & Miller, M. I. (1996) · IEEE Transactions on Image Processing · doi:10.1109/83.536892 · Cited by 1,146 · see citing works
Interpolation revisited [medical images application]
Thévenaz, P., Blu, T., & Unser, M. A. (2000) · IEEE Transactions on Medical Imaging · doi:10.1109/42.875199 · Cited by 844 · see citing works
Geometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices
Arsigny, V., Fillard, P., Pennec, X., & Ayache, N. (2007) · SIAM Journal on Matrix Analysis and Applications · doi:10.1137/050637996 · Cited by 822 · see citing works
Sparse Matrices in MATLAB: Design and Implementation
Gilbert, J. R., Moler, C., & Schreiber, R. (1992) · SIAM Journal on Matrix Analysis and Applications · doi:10.1137/0613024 · Cited by 600 · see citing works
A Log-Euclidean Framework for Statistics on Diffeomorphisms
Arsigny, V., Commowick, O., Pennec, X., & Ayache, N. (2006) · Lecture notes in computer science · doi:10.1007/11866565_113 · Cited by 461 · see citing works
Geodesic estimation for large deformation anatomical shape averaging and interpolation
Avants, B., & Gee, J. C. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.010 · Cited by 427 · see citing works
Fast Fluid Registration of medical images
Bro‐Nielsen, M., & Gramkow, C. (1996) · Lecture notes in computer science · doi:10.1007/bfb0046964 · Cited by 396 · see citing works
Geodesic Shooting for Computational Anatomy
Miller, M. I., Trouvé, A., & Laurent Younes, B. (2006) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-005-3624-0 · Cited by 366 · see citing works
3D brain mapping using a deformable neuroanatomy
Christensen, G. E., Rabbitt, R. D., & Miller, M. I. (1994) · Physics in Medicine and Biology · doi:10.1088/0031-9155/39/3/022 · Cited by 358 · see citing works
Lao, Z., Shen, D. G., Xue, Z., Karaçalı, B., Resnick, S. M., & Davatzikos, C. A. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.09.027 · Cited by 343 · see citing works
Statistics on diffeomorphisms via tangent space representations
Vaillant, M., Miller, M. I., Younes, L., & Trouvé, A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.023 · Cited by 215 · see citing works
Retrospective evaluation of intersubject brain registration
Pierre Hellier, J., Barillot, C., Corouge, I., Bernard Gibaud, A., Goualher, G. L., Collins, D. L., Evans, A. C., Malandain, G., Ayache, N., Christensen, G. E., et al. (2003) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.816961 · Cited by 200 · see citing works
Miller, M. I., Beg, M. F., Ceritoglu, C., & Stark, C. E. L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503892102 · Cited by 173 · see citing works
Statistical methods in computational anatomy
Miller, M. I., Banerjee, A., Christensen, G. E., Joshi, S. C., Khaneja, N., Grenander, U., & Matejic, L. (1997) · Statistical Methods in Medical Research · doi:10.1191/096228097673360480 · Cited by 165 · see citing works
Introduction to the Non-rigid Image Registration Evaluation Project (NIREP)
Christensen, G. E., Geng, X., Kuhl, J. G., Bruss, J., Grabowski, T. J., Pirwani, I. A., Vannier, M. W., Allen, J. S., & Damásio, H. (2006) · Lecture notes in computer science · doi:10.1007/11784012_16 · Cited by 161 · see citing works
Fast Non-Rigid Matching of 3D Medical Images
Thirion, J. (1995) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 150 · see citing works
Consistent Linear-Elastic Transformations for Image Matching
Christensen, G. E. (1999) · Lecture notes in computer science · doi:10.1007/3-540-48714-x_17 · Cited by 138 · see citing works
A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration
Arsigny, V., Commowick, O., Ayache, N., & Pennec, X. (2009) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-008-0135-9 · Cited by 134 · see citing works
A Multilevel Method for Image Registration
Haber, E., & Modersitzki, J. (2006) · SIAM Journal on Scientific Computing · doi:10.1137/040608106 · Cited by 121 · see citing works
Non-linear Registration with the Variable Viscosity Fluid Algorithm
Lester, H., Arridge, S., Jansons, K. M., Lemieux, L., Hajnal, J. V., & Oatridge, A. (1999) · Lecture notes in computer science · doi:10.1007/3-540-48714-x_18 · Cited by 62 · see citing works
Retrospective Evaluation of Inter-subject Brain Registration
Pierre Hellier, J., Barillot, C., Corouge, I., Bernard Gibaud, A., Goualher, G. L., Collins, D. L., Evans, A. C., Malandain, G., & Ayache, N. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45468-3_31 · Cited by 50 · see citing works
Large deformation minimum mean squared error template estimation for computational anatomy
Davis, B., Lorenzen, P., & Joshi, S. C. (2005) · doi:10.1109/isbi.2004.1398502 · Cited by 48 · see citing works
A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration
Arsigny, V., Commowick, O., Pennec, X., & Ayache, N. (2006) · Lecture notes in computer science · doi:10.1007/11784012_15 · Cited by 47 · see citing works
Inter-subject Registration of Functional and Anatomical Data Using SPM
Hellier, P., Ashburner, J., Corouge, I., et al. (2002) · Lecture notes in computer science · doi:10.1007/3-540-45787-9_74 · Cited by 44 · see citing works
Self-citationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2006
Svensson, J., Gårdhagen, R., Heiberg, E., et al. (2006) · Lecture notes in computer science · doi:10.1007/11866565 · Cited by 33 · see citing works
Multi-class Posterior Atlas Formation via Unbiased Kullback-Leibler Template Estimation
Lorenzen, P., Davis, B. C., Gerig, G., Bullitt, E., & Joshi, S. C. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30135-6_12 · Cited by 23 · see citing works
Effect of spatial normalization on analysis of functional data
Gee, J. C., Alsop, D. C., & Aguirre, G. K. (1997) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.274142 · Cited by 18 · see citing works
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Within-subject template estimation for unbiased longitudinal image analysis
Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.084 · Cited by 2,356 · see citing works
Deformable medical image registration: a survey
Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587 · see citing works
Yan, C.-G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., Li, Q., Zuo, X.-N., Castellanos, F. X., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.004 · Cited by 1,461 · see citing works
The Centiloid Project: standardizing quantitative amyloid plaque estimation by PET
Klunk, W. E., Koeppe, R. A., Price, J. C., Benzinger, T. L., Devous, M. D., Jagust, W. J., Johnson, K. A., Mathis, C. A., Minhas, D., Pontecorvo, M. J., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.07.003 · Cited by 1,348 · see citing works
The structural basis of inter-individual differences in human behaviour and cognition
Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055 · see citing works
Brock, K. K., Mutic, S., McNutt, T. R., Li, H., & Kessler, M. L. (2017) · Medical Physics · doi:10.1002/mp.12256 · Cited by 881 · see citing works
Cole, J. H., Poudel, R. P. K., Tsagkrasoulis, D., Caan, M. W. A., Steves, C., Spector, T. D., & Montana, G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.059 · Cited by 872 · see citing works
Goulden, N., Khusnulina, A., Davis, N. J., Bracewell, R. M., Bokde, A. L., McNulty, J. P., & Mullins, P. G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.052 · Cited by 810 · see citing works
Wen, J., Thibeau-Sutre, E., Diaz-Melo, M., Samper-González, J., Routier, A., Bottani, S., Dormont, D., Durrleman, S., Burgos, N., & Colliot, O. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101694 · Cited by 809 · see citing works
Pregnancy leads to long-lasting changes in human brain structure
Hoekzema, E., Barba-Müller, E., Pozzobon, C., Picado, M., Lucco, F., García-García, D., Soliva, J. C., Tobeña, A., Desco, M., Crone, E. A., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4458 · Cited by 788 · see citing works
Functional boundaries in the human cerebellum revealed by a multi-domain task battery
King, M., Hernandez-Castillo, C. R., Poldrack, R. A., Ivry, R. B., & Diedrichsen, J. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0436-x · Cited by 673 · see citing works
CNVs conferring risk of autism or schizophrenia affect cognition in controls
Stefansson, H., Meyer-Lindenberg, A., Steinberg, S., Magnusdottir, B., Morgen, K., Arnarsdottir, S., Bjornsdottir, G., Walters, G. B., Jonsdottir, G. A., Doyle, O. M., et al. (2014) · Nature · doi:10.1038/nature12818 · Cited by 699 · see citing works
Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging
Horn, A., Li, N., Dembek, T. A., Kappel, A., Boulay, C., Ewert, S., Tietze, A., Husch, A., Perera, T., Neumann, W.-J., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.068 · Cited by 739 · see citing works
Quantifying and exploring camouflaging in men and women with autism
Lai, M.-C., Lombardo, M. V., Ruigrok, A. N., Chakrabarti, B., Auyeung, B., Szatmari, P., Happé, F., Baron-Cohen, S., & MRC AIMS Consortium (2017) · Autism · doi:10.1177/1362361316671012 · Cited by 705 · see citing works
Thiebaut de Schotten, M., ffytche, D. H., Bizzi, A., Dell'Acqua, F., Allin, M., Walshe, M., Murray, R., Williams, S. C., Murphy, D. G. M., & Catani, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.055 · Cited by 656 · see citing works
Quicksilver: Fast predictive image registration – A deep learning approach
Yang, X., Kwitt, R., Styner, M., & Niethammer, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.008 · Cited by 630 · see citing works
“Several points should be noted: first, the LDDMM optimization performance is on par with SyN [68], ART [69] and the SPM5 DARTEL Toolbox ( SPM5D ) [70].”
MethodSlow cortical dynamics and the accumulation of information over long timescales
Honey, C. J., Thesen, T., Donner, T. H., Silbert, L. J., Carlson, C. E., Devinsky, O., Doyle, W. K., Rubin, N., Heeger, D. J., & Hasson, U. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.011 · Cited by 532 · see citing works
Bilingualism Tunes the Anterior Cingulate Cortex for Conflict Monitoring
Abutalebi, J., Della Rosa, P. A., Green, D. W., Hernandez, M., Scifo, P., Keim, R., Cappa, S. F., & Costa, A. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr287 · Cited by 580 · see citing works
A Review of Feature Reduction Techniques in Neuroimaging
Mwangi, B., Tian, T. S., & Soares, J. C. (2014) · Neuroinformatics · doi:10.1007/s12021-013-9204-3 · Cited by 559 · see citing works
Toward a Neuroimaging Treatment Selection Biomarker for Major Depressive Disorder
McGrath, C. L., Kelley, M. E., Holtzheimer, P. E., Dunlop, B. W., Craighead, W. E., Franco, A. R., Craddock, R. C., & Mayberg, H. S. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.143 · Cited by 561 · see citing works
Developmental cognitive neuroscience using latent change score models: A tutorial and applications
Kievit, R. A., Brandmaier, A. M., Ziegler, G., van Harmelen, A.-L., de Mooij, S. M. M., Moutoussis, M., Goodyer, I. M., Bullmore, E., Jones, P. B., Fonagy, P., et al. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.11.007 · Cited by 516 · see citing works
Kühn, S., Gleich, T., Lorenz, R. C., Lindenberger, U., & Gallinat, J. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.120 · Cited by 441 · see citing works
Online social network size is reflected in human brain structure
Kanai, R., Bahrami, B., Roylance, R., & Rees, G. (2012) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2011.1959 · Cited by 391 · see citing works
Widespread reductions in gray matter volume in depression
Grieve, S. M., Korgaonkar, M. S., Koslow, S. H., Gordon, E., & Williams, L. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.08.016 · Cited by 388 · see citing works
Regional brain volume in depression and anxiety disorders
van Tol, M.-J., van der Wee, N. J. A., van den Heuvel, O. A., Nielen, M. M. A., Demenescu, L. R., Aleman, A., Renken, R., van Buchem, M. A., Zitman, F. G., & Veltman, D. J. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.121 · Cited by 370 · see citing works
Reduced Medial Prefrontal Cortex Volume in Adults Reporting Childhood Emotional Maltreatment
van Harmelen, A.-L., van Tol, M.-J., van der Wee, N. J. A., Veltman, D. J., Aleman, A., Spinhoven, P., van Buchem, M. A., Zitman, F. G., Penninx, B. W. J. H., & Elzinga, B. M. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.06.011 · Cited by 362 · see citing works
Ansell, E. B., Rando, K., Tuit, K., Guarnaccia, J., & Sinha, R. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.11.022 · Cited by 354 · see citing works
Chen, X., Lu, B., & Yan, C. (2018) · Human Brain Mapping · doi:10.1002/hbm.23843 · Cited by 340 · see citing works
Chu, C., Hsu, A.-L., Chou, K.-H., Bandettini, P., & Lin, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.066 · Cited by 319 · see citing works
Younger, J., Aron, A., Parke, S., Chatterjee, N., & Mackey, S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013309 · Cited by 314 · see citing works
Fetal Testosterone Influences Sexually Dimorphic Gray Matter in the Human Brain
Lombardo, M. V., Ashwin, E., Auyeung, B., Chakrabarti, B., Taylor, K., Hackett, G., Bullmore, E. T., & Baron-Cohen, S. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4389-11.2012 · Cited by 302 · see citing works
Biological sex affects the neurobiology of autism
Lai, M.-C., Lombardo, M. V., Suckling, J., Ruigrok, A. N. V., Chakrabarti, B., Ecker, C., Deoni, S. C. L., Craig, M. C., Murphy, D. G. M., Bullmore, E. T., et al. (2013) · Brain · doi:10.1093/brain/awt216 · Cited by 298 · see citing works
Anatomical coupling between distinct metacognitive systems for memory and visual perception
McCurdy, L. Y., Maniscalco, B., Metcalfe, J., Liu, K. Y., de Lange, F. P., & Lau, H. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1890-12.2013 · Cited by 299 · see citing works
State-dependent changes in hippocampal grey matter in depression
Arnone, D., McKie, S., Elliott, R., Juhasz, G., Thomas, E. J., Downey, D., Williams, S., Deakin, J. F. W., & Anderson, I. M. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.150 · Cited by 287 · see citing works
White matter damage in Alzheimer disease and its relationship to gray matter atrophy
Agosta, F., Pievani, M., Sala, S., Geroldi, C., Galluzzi, S., Frisoni, G. B., & Filippi, M. (2011) · Radiology · doi:10.1148/radiol.10101284 · Cited by 288 · see citing works
Cousijn, J., Wiers, R. W., Ridderinkhof, K. R., van den Brink, W., Veltman, D. J., & Goudriaan, A. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.046 · Cited by 287 · see citing works
de Wit, S. J., Alonso, P., Schweren, L., Mataix-Cols, D., Lochner, C., Menchón, J. M., Stein, D. J., Fouche, J.-P., Soriano-Mas, C., Sato, J. R., et al. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.13040574 · Cited by 278 · see citing works
Different Forms of Self-Control Share a Neurocognitive Substrate
Tabibnia, G., Monterosso, J. R., Baicy, K., Aron, A. R., Poldrack, R. A., Chakrapani, S., Lee, B., & London, E. D. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2859-10.2011 · Cited by 271 · see citing works
Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment
Scheef, L., Spottke, A., Daerr, M., Joe, A., Striepens, N., Kölsch, H., Popp, J., Daamen, M., Gorris, D., Heneka, M. T., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826c1a8d · Cited by 277 · see citing works
The neural representation of unexpected uncertainty during value-based decision making
Payzan-LeNestour, E., Dunne, S., Bossaerts, P., & O’Doherty, J. P. (2013) · Neuron · doi:10.1016/j.neuron.2013.04.037 · Cited by 257 · see citing works
MRI visual rating scales in the diagnosis of dementia: evaluation in 184 post-mortem confirmed cases
Harper, L., Fumagalli, G. G., Barkhof, F., Scheltens, P., O’Brien, J. T., Bouwman, F., Burton, E. J., Rohrer, J. D., Fox, N. C., Ridgway, G. R., et al. (2016) · Brain · doi:10.1093/brain/aww005 · Cited by 264 · see citing works
Prospective representation of navigational goals in the human hippocampus
Brown, T. I., Carr, V. A., LaRocque, K. F., Favila, S. E., Gordon, A. M., Bowles, B., Bailenson, J. N., & Wagner, A. D. (2016) · Science · doi:10.1126/science.aaf0784 · Cited by 233 · see citing works
Villain, N., Fouquet, M., Baron, J.-C., Mezenge, F., Landeau, B., de La Sayette, V., Viader, F., Eustache, F., Desgranges, B., & Chetelat, G. (2010) · Brain · doi:10.1093/brain/awq203 · Cited by 237 · see citing works
The dopaminergic midbrain encodes the expected certainty about desired outcomes
Schwartenbeck, P., FitzGerald, T. H. B., Mathys, C., Dolan, R., & Friston, K. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu159 · Cited by 219 · see citing works
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Fairchild, G., Passamonti, L., Hurford, G., Hagan, C. C., von dem Hagen, E. A. H., van Goozen, S. H. M., Goodyer, I. M., & Calder, A. J. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10081184 · Cited by 242 · see citing works
Brain fluorodeoxyglucose (FDG) PET in dementia
Kato, T., Inui, Y., Nakamura, A., & Ito, K. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.02.003 · Cited by 236 · see citing works
Passamonti, L., Tsvetanov, K. A., Jones, P. S., Bevan-Jones, W. R., Arnold, R., Borchert, R. J., Mak, E., Su, L., O'Brien, J. T., & Rowe, J. B. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.2574-18.2019 · Cited by 220 · see citing works
King, A. P., Block, S. R., Sripada, R. K., Rauch, S., Giardino, N., Favorite, T., Angstadt, M., Kessler, D., Welsh, R., & Liberzon, I. (2016) · Depression and Anxiety · doi:10.1002/da.22481 · Cited by 225 · see citing works
Prognostic and diagnostic potential of the structural neuroanatomy of depression
Costafreda, S. G., Chu, C., Ashburner, J., & Fu, C. H. Y. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006353 · Cited by 232 · see citing works
Self-citationConflict monitoring and error processing: New insights from simultaneous EEG–fMRI
Iannaccone, R., Hauser, T. U., Staempfli, P., Walitza, S., Brandeis, D., & Brem, S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.028 · Cited by 210 · see citing works
The 16p11.2 locus modulates brain structures common to autism, schizophrenia and obesity
16p11.2 European Consortium, Maillard, A. M., Ruef, A., Pizzagalli, F., Migliavacca, E., Hippolyte, L., Adaszewski, S., Dukart, J., Ferrari, C., Conus, P., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.145 · Cited by 217 · see citing works
Relation Between Structural and Functional Connectivity in Major Depressive Disorder
de Kwaasteniet, B., Ruhe, E., Caan, M., Rive, M., Olabarriaga, S., Groefsema, M., Heesink, L., van Wingen, G., & Denys, D. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.12.024 · Cited by 229 · see citing works
Lower Ventral Striatal Activation During Reward Anticipation in Adolescent Smokers
Peters, J., Bromberg, U., Schneider, S., Brassen, S., Menz, M., Banaschewski, T., Conrod, P. J., Flor, H., Gallinat, J., Garavan, H., et al. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10071024 · Cited by 218 · see citing works
Decreased hippocampal volume in healthy girls at risk of depression
Chen, M. C., Hamilton, J. P., & Gotlib, I. H. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.202 · Cited by 220 · see citing works
Krusemark, E. A., Novak, L. R., Gitelman, D. R., & Li, W. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1835-13.2013 · Cited by 222 · see citing works
“Normalization was based on Diffeomorphic Anatomical Registration Through Exponentiated Lie algebra, a preferable approach relative to conventional normalization to achieve more precise spatial registration (Ashburner, 2007).”
MethodPreterm birth and structural brain alterations in early adulthood
Nosarti, C., Nam, K. W., Walshe, M., Murray, R. M., Cuddy, M., Rifkin, L., & Allin, M. P. G. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.08.005 · Cited by 213 · see citing works
Kapogiannis, D., Reiter, D. A., Willette, A. A., & Mattson, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.029 · Cited by 211 · see citing works
Relative ability of fat and sugar tastes to activate reward, gustatory, and somatosensory regions
Stice, E., Burger, K. S., & Yokum, S. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.069443 · Cited by 210 · see citing works
Ryan, N. S., Keihaninejad, S., Shakespeare, T. J., Lehmann, M., Crutch, S. J., Malone, I. B., Thornton, J. S., Mancini, L., Hyare, H., Yousry, T., et al. (2013) · Brain · doi:10.1093/brain/awt065 · Cited by 205 · see citing works
The neural basis of video gaming
Kühn, S., Romanowski, A., Schilling, C., Lorenz, R., Mörsen, C., Seiferth, N., Banaschewski, T., Barbot, A., Barker, G. J., Büchel, C., et al. (2011) · Translational Psychiatry · doi:10.1038/tp.2011.53 · Cited by 201 · see citing works
Oxytocin, the peptide that bonds the sexes also divides them
Gao, S., Becker, B., Luo, L., Geng, Y., Zhao, W., Yin, Y., Hu, J., Gao, Z., Gong, Q., Hurlemann, R., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602620113 · Cited by 186 · see citing works
Hubbard, C. S., Khan, S. A., Keaser, M. L., Mathur, V. A., Goyal, M., & Seminowicz, D. A. (2014) · eneuro · doi:10.1523/eneuro.0006-14.2014 · Cited by 184 · see citing works
Oxytocin increases amygdala reactivity to threatening scenes in females
Lischke, A., Gamer, M., Berger, C., Grossmann, A., Hauenstein, K., Heinrichs, M., Herpertz, S. C., & Domes, G. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2012.01.011 · Cited by 194 · see citing works
Electroconvulsive therapy-induced brain plasticity determines therapeutic outcome in mood disorders
Dukart, J., Regen, F., Kherif, F., Colla, M., Bajbouj, M., Heuser, I., Frackowiak, R. S., & Draganski, B. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1321399111 · Cited by 195 · see citing works
A perceptual inference mechanism for hallucinations linked to striatal dopamine
Cassidy, C. M., Balsam, P. D., Weinstein, J. J., Rosengard, R. J., Slifstein, M., Daw, N. D., Abi-Dargham, A., & Horga, G. (2018) · Current Biology · doi:10.1016/j.cub.2017.12.059 · Cited by 176 · see citing works
Sachdev, P. S., Lipnicki, D. M., Crawford, J., Reppermund, S., Kochan, N. A., Trollor, J. N., Wen, W., Draper, B., Slavin, M. J., Kang, K., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059649 · Cited by 193 · see citing works
Rando, K., Hong, K.-I., Bhagwagar, Z., Li, C.-S. R., Bergquist, K., Guarnaccia, J., & Sinha, R. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10020233 · Cited by 189 · see citing works
Functional dissociation of stimulus intensity encoding and predictive coding of pain in the insula
Geuter, S., Boll, S., Eippert, F., & Büchel, C. (2017) · eLife · doi:10.7554/elife.24770 · Cited by 184 · see citing works
James, C. E., Oechslin, M. S., Van De Ville, D., Hauert, C.-A., Descloux, C., & Lazeyras, F. (2014) · Brain Structure and Function · doi:10.1007/s00429-013-0504-z · Cited by 180 · see citing works
White matter damage in frontotemporal lobar degeneration spectrum
Agosta, F., Scola, E., Canu, E., Marcone, A., Magnani, G., Sarro, L., Copetti, M., Caso, F., Cerami, C., Comi, G., et al. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr288 · Cited by 180 · see citing works
Functional network connectivity in the behavioral variant of frontotemporal dementia
Filippi, M., Agosta, F., Scola, E., Canu, E., Magnani, G., Marcone, A., Valsasina, P., Caso, F., Copetti, M., Comi, G., et al. (2013) · Cortex · doi:10.1016/j.cortex.2012.09.017 · Cited by 177 · see citing works
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Tromp, D. P. M., Grupe, D. W., Oathes, D. J., McFarlin, D. R., Hernandez, P. J., Kral, T. R. A., Lee, J. E., Adams, M., Alexander, A. L., & Nitschke, J. B. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.2178 · Cited by 184 · see citing works
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Kanai, R., Bahrami, B., Duchaine, B., Janik, A., Banissy, M. J., & Rees, G. (2012) · Current Biology · doi:10.1016/j.cub.2012.08.045 · Cited by 181 · see citing works
Engen, H. G., & Singer, T. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv008 · Cited by 175 · see citing works
Van Dam, N. T., Rando, K., Potenza, M. N., Tuit, K., & Sinha, R. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.680 · Cited by 172 · see citing works
Mindfulness based intervention in Parkinson's disease leads to structural brain changes on MRI
Pickut, B. A., Van Hecke, W., Kerckhofs, E., Mariën, P., Vanneste, S., Cras, P., & Parizel, P. M. (2013) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2013.10.002 · Cited by 174 · see citing works
Bai, W., Shi, W., de Marvao, A., Dawes, T. J. W., O’Regan, D. P., Cook, S. A., & Rueckert, D. (2015) · Medical Image Analysis · doi:10.1016/j.media.2015.08.009 · Cited by 171 · see citing works
Hippocampus and retrosplenial cortex combine path integration signals for successful navigation
Sherrill, K. R., Erdem, U. M., Ross, R. S., Brown, T. I., Hasselmo, M. E., & Stern, C. E. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1825-13.2013 · Cited by 167 · see citing works
Freton, M., Lemogne, C., Bergouignan, L., Delaveau, P., Lehéricy, S., & Fossati, P. (2014) · Brain Structure and Function · doi:10.1007/s00429-013-0546-2 · Cited by 164 · see citing works
Test–retest measurements of dopamine D1-type receptors using simultaneous PET/MRI imaging
Kaller, S., Rullmann, M., Patt, M., Becker, G.-A., Luthardt, J., Girbardt, J., Meyer, P. M., Werner, P., Barthel, H., Bresch, A., et al. (2017) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-017-3645-0 · Cited by 152 · see citing works
Gray matter atrophy pattern in elderly with subjective memory impairment
Peter, J., Scheef, L., Abdulkadir, A., Boecker, H., Heneka, M., Wagner, M., Koppara, A., Klöppel, S., Jessen, F., & Initiative, A. D. N. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.05.1764 · Cited by 165 · see citing works
Insular cortex mediates increased pain tolerance in yoga practitioners
Villemure, C., eko, M., Cotton, V. A., & Bushnell, M. C. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht124 · Cited by 163 · see citing works
Influence of the COMT genotype on working memory and brain activity changes during development
Dumontheil, I., Roggeman, C., Ziermans, T., Peyrard-Janvid, M., Matsson, H., Kere, J., & Klingberg, T. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.02.027 · Cited by 165 · see citing works
Demirakca, T., Sartorius, A., Ende, G., Meyer, N., Welzel, H., Skopp, G., Mann, K., & Hermann, D. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.09.020 · Cited by 162 · see citing works
Current smoking and reduced gray matter volume - a voxel-based morphometry study
Fritz, H.-C., Wittfeld, K., Schmidt, C. O., Domin, M., Grabe, H. J., Hegenscheid, K., Hosten, N., & Lotze, M. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.112 · Cited by 160 · see citing works
Reconstructing the Neanderthal brain using computational anatomy
Kochiyama, T., Ogihara, N., Tanabe, H. C., Kondo, O., Amano, H., Hasegawa, K., Suzuki, H., Ponce de León, M. S., Zollikofer, C. P. E., Bastir, M., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-24331-0 · Cited by 156 · see citing works
Variant in oxytocin receptor gene is associated with amygdala volume
Furman, D. J., Chen, M. C., & Gotlib, I. H. (2011) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2010.12.004 · Cited by 151 · see citing works
False positives in neuroimaging genetics using voxel-based morphometry data
Silver, M., Montana, G., & Nichols, T. E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.049 · Cited by 146 · see citing works
Fear bradycardia and activation of the human periaqueductal grey
Hermans, E. J., Henckens, M. J. A. G., Roelofs, K., & Fernández, G. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.063 · Cited by 151 · see citing works
Grothe, M. J., Teipel, S. J., & Initiative, F. T. A. D. N. (2016) · Human Brain Mapping · doi:10.1002/hbm.23018 · Cited by 150 · see citing works
Peake, S. J., Dishion, T. J., Stormshak, E. A., Moore, W. E., & Pfeifer, J. H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.061 · Cited by 147 · see citing works
Mandelli, M. L., Vilaplana, E., Brown, J. A., Hubbard, H. I., Binney, R. J., Attygalle, S., Santos-Santos, M. A., Miller, Z. A., Pakvasa, M., Henry, M. L., et al. (2016) · Brain · doi:10.1093/brain/aww195 · Cited by 139 · see citing works
Leung, M.-K., Chan, C. C. H., Yin, J., Lee, C.-F., So, K.-F., & Lee, T. M. C. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss076 · Cited by 144 · see citing works
Large-scale brain network dynamics supporting adolescent cognitive control
Dwyer, D. B., Harrison, B. J., Yücel, M., Whittle, S., Zalesky, A., Pantelis, C., Allen, N. B., & Fornito, A. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1634-14.2014 · Cited by 143 · see citing works
Chaney, A., Carballedo, A., Amico, F., Fagan, A., Skokauskas, N., Meaney, J., & Frodl, T. (2014) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.120208 · Cited by 138 · see citing works
Guan, F., Chen, J., Chen, O., Liu, L., & Zha, Y. (2019) · Current Psychology · doi:10.1007/s12144-019-00244-7 · Cited by 141 · see citing works
Kassraian-Fard, P., Matthis, C., Balsters, J. H., Maathuis, M. H., & Wenderoth, N. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00177 · Cited by 132 · see citing works
Pretreatment Brain States Identify Likely Nonresponse to Standard Treatments for Depression
McGrath, C. L., Kelley, M. E., Dunlop, B. W., Holtzheimer III, P. E., Craighead, W. E., & Mayberg, H. S. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.12.005 · Cited by 139 · see citing works
Brain alterations in adult ADHD: Effects of gender, treatment and comorbid depression
Onnink, A. M. H., Zwiers, M. P., Hoogman, M., Mostert, J. C., Kan, C. C., Buitelaar, J., & Franke, B. (2014) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2013.11.011 · Cited by 131 · see citing works
Functional connectivity and network analysis of midbrain and brainstem nuclei
Bär, K.-J., de la Cruz, F., Schumann, A., Koehler, S., Sauer, H., Critchley, H., & Wagner, G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.071 · Cited by 134 · see citing works
- Authors
- Ashburner, J.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Ashburner, John
- ORCID
- Ashburner, John
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2007-10
- Volume
- 38
- Issue
- 1
- Pages
- 95-113
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2155298532
- Cited by
- 8,122
- References
- 35
- Citations by year
- 2026: 343 · 2025: 522 · 2024: 530 · 2023: 514 · 2022: 620 · 2021: 681 · 2020: 630 · 2019: 555 · 2018: 528 · 2017: 541 · 2016: 481 · 2015: 539 · 2014: 466 · 2013: 428 · 2012: 295
- FWCI
- 96.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust
- Universiteit Maastricht
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- diffeomorphic registration, DARTEL, nonlinear registration, Levenberg-Marquardt algorithm, multigrid methods, scaling and squaring, whole-brain MRI, brain shape, sex classification, age prediction
- MeSH terms
- Algorithms, Artificial Intelligence, Brain, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Pattern Recognition, Automated, Sensitivity and Specificity, Subtraction Technique, Reproducibility of Results, Imaging, Three-Dimensional
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