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Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
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“All data sets were corrected for head motion, eddy currents and susceptibility distortions and are, in general, of very high quality69–73.”
From Tractography-based connectomes are dominated by false-positive connections (2016) · cites this paper as [73]
In the citing paper
“Additionally, participants were excluded in the following cases: acute suicidality (one autistic participant), self- or other-harming behaviour (no participants), excessive motion in the MRI scanner (one autistic participant; defined as mean framewise displacement above 0.55 mm or maximum framewise displacement above 5 mm based on Jenkinson et al., 2002)”
From Are prediction error modifications domain specific in autism but domain general in ADHD? (2025) · cites this paper as Jenkinson et al., 2002
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“Ground truth registration was defined by way of consistency analysis (Jenkinson et al 2002), in which multiple, independently performed registrations converged to the same result, and that result was judged sensible as assessed by a clinical expert.”
From Robust 3D–2D image registration: application to spine interventions and vertebral labeling in the presence of anatomical deformation (2013) · cites this paper as Jenkinson et al 2002
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A global optimisation method for robust affine registration of brain images
Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 7,018
Self-citationMultimodality image registration by maximization of mutual information
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547
Movement‐Related effects in fMRI time‐series
Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350312 · Cited by 3,774
Spatial registration and normalization of images
Friston, K. J., Ashburner, J., Frith, C., Poline, J.-B., Heather, J. D., & Frackowiak, R. S. J. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030303 · Cited by 3,744
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 5×
“9), all with the MNI 305 brain (Collins et al., 1994) as the reference image.”
BackgroundMethodInfluentialA survey of medical image registration
Maintz, J. B. A., & Viergever, M. A. (1998) · Medical Image Analysis · doi:10.1016/s1361-8415(01)80026-8 · Cited by 3,314
Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
Woolrich, M. W., Ripley, B. D., Brady, M., & Smith, S. M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0931 · Cited by 2,859
Self-citationMRI-PET Registration with Automated Algorithm
Woods, R. P., Mazziotta, J. C., & Cherry, A. S. R. (1993) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199307000-00004 · Cited by 1,636
Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques
West, J. B., Fitzpatrick, J. M., Wang, M. Y., Dawant, B. M., Maurer, C. R., KESSLER, R. M., Maciunas, R. J., Barillot, C., Lemoine, D., Collignon, A. M. F., et al. (1997) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199707000-00007 · Cited by 883
Recent Developments in Nonparametric Density Estimation
Izenman, A. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2289732 · Cited by 464
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Items 1,001–1,100 of 1,230
Tan, Y., Singhal, S. M., Harden, S. W., Cahill, K. M., Nguyen, D.-T. M., Colón-Pérez, L. M., Sahagian, T. J., Thinschmidt, J. S., de Kloet, A. D., Febo, M., et al. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2944-18.2019 · Cited by 122
Choi, K. S., Choi, S. H., & Jeong, B. (2019) · Neuro-Oncology · doi:10.1093/neuonc/noz095 · Cited by 118
Yan, J., Zhang, B., Zhang, S., Cheng, J., Liu, X., Wang, W., Dong, Y., Zhang, L., Mo, X., Chen, Q., et al. (2021) · npj Precision Oncology · doi:10.1038/s41698-021-00205-z · Cited by 121
Habitual daily intake of a sweet and fatty snack modulates reward processing in humans
Thanarajah, S. E., DiFeliceantonio, A. G., Albus, K., Kuzmanovic, B., Rigoux, L., Iglesias, S., Hanßen, R., Schlamann, M., Cornely, O. A., Brüning, J. C., et al. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.02.015 · Cited by 131
Cottam, W. J., Iwabuchi, S. J., Drabek, M. M., Reckziegel, D., & Auer, D. P. (2018) · Pain · doi:10.1097/j.pain.0000000000001209 · Cited by 110
Neural effects of short-term training on working memory
Buschkuehl, M., Hernandez-Garcia, L., Jaeggi, S. M., Bernard, J. A., & Jonides, J. (2014) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-013-0244-9 · Cited by 117
Ginestet, C. E., & Simmons, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.030 · Cited by 112
A shift in perspective: Decentering through mindful attention to imagined stressful events
Lebois, L. A. M., Papies, E. K., Gopinath, K., Cabanban, R., Quigley, K. S., Krishnamurthy, V., Barrett, L. F., & Barsalou, L. W. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.05.030 · Cited by 114
Ayoub, R., Ruddy, R. M., Cox, E., Oyefiade, A., Derkach, D., Laughlin, S., Ades-aron, B., Shirzadi, Z., Fieremans, E., MacIntosh, B. J., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0985-2 · Cited by 117
Zimmermann, H. G., Freing, A., Kaufhold, F., Gaede, G., Bohn, E., Bock, M., Oberwahrenbrock, T., Young, K. L., Dörr, J., Wuerfel, J. T., et al. (2012) · Multiple Sclerosis Journal · doi:10.1177/1352458512457844 · Cited by 117
Moser, J. S., Dougherty, A., Mattson, W. I., Katz, B., Moran, T. P., Guevarra, D., Shablack, H., Ayduk, O., Jonides, J., Berman, M. G., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-04047-3 · Cited by 114
The impact of in-scanner head motion on structural connectivity derived from diffusion MRI
Baum, G. L., Roalf, D. R., Cook, P. A., Ciric, R., Rosen, A. F. G., Xia, C., Elliott, M. A., Ruparel, K., Verma, R., Tunç, B., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.041 · Cited by 116
Yokoi, T., Watanabe, H., Yamaguchi, H., Bagarinao, E., Masuda, M., Imai, K., Ogura, A., Ohdake, R., Kawabata, K., Hara, K., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00304 · Cited by 116
Enhanced striatal sensitivity to aversive reinforcement in adolescents versus adults
Galván, A., & McGlennen, K. M. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00326 · Cited by 111
Gordon, I., Jack, A., Pretzsch, C. M., Vander Wyk, B., Leckman, J. F., Feldman, R., & Pelphrey, K. A. (2016) · Scientific Reports · doi:10.1038/srep35054 · Cited by 114
White matter maturation is associated with the emergence of Theory of Mind in early childhood
Grosse Wiesmann, C., Schreiber, J., Singer, T., Steinbeis, N., & Friederici, A. D. (2017) · Nature Communications · doi:10.1038/ncomms14692 · Cited by 114
van Duijvenvoorde, A. C. K., Westhoff, B., de Vos, F., Wierenga, L. M., & Crone, E. A. (2019) · Human Brain Mapping · doi:10.1002/hbm.24630 · Cited by 115
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Owen, J. P., Chang, Y. S., Pojman, N. J., Bukshpun, P., Wakahiro, M. L. J., Marco, E. J., Berman, J. I., Spiro, J. E., Chung, W. K., Buckner, R. L., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4495-13.2014 · Cited by 113
Regional oxygen extraction predicts border zone vulnerability to stroke in sickle cell disease
Fields, M. E., Guilliams, K. P., Ragan, D. K., Binkley, M. M., Eldeniz, C., Chen, Y., Hulbert, M. L., McKinstry, R. C., Shimony, J. S., Vo, K. D., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005194 · Cited by 113
Shou, H., Yang, Z., Satterthwaite, T. D., Cook, P. A., Bruce, S. E., Shinohara, R. T., Rosenberg, B., & Sheline, Y. I. (2017) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.01.030 · Cited by 108
Diffusion tensor imaging in patients with adult chronic idiopathic hydrocephalus
Hattingen, E., Jurcoane, A., Melber, J., Blasel, S., Zanella, F. E., Neumann-Haefelin, T., & Singer, O. C. (2010) · Neurosurgery · doi:10.1227/01.neu.0000367801.35654.ec · Cited by 111
Faull, O. K., & Pattinson, K. T. (2017) · eLife · doi:10.7554/elife.21749 · Cited by 110
Short-term antidepressant treatment modulates amygdala response to happy faces
Norbury, R., Taylor, M. J., Selvaraj, S., Murphy, S. E., Harmer, C. J., & Cowen, P. J. (2009) · Psychopharmacology · doi:10.1007/s00213-009-1597-1 · Cited by 109
Adaptive coding of action values in the human rostral cingulate zone
Jocham, G., Neumann, J., Klein, T. A., Danielmeier, C., & Ullsperger, M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0349-09.2009 · Cited by 106
Extended self: medial prefrontal activity during transient association of self and objects
Kim, K., & Johnson, M. K. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsq096 · Cited by 104
Kim, K., Kim, S.-W., Myung, W., Han, C. E., Fava, M., Mischoulon, D., Papakostas, G. I., Seo, S. W., Cho, H., Seong, J.-K., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-15926-0 · Cited by 107
How Expert Advice Influences Decision Making
Meshi, D., Biele, G., Korn, C. W., & Heekeren, H. R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049748 · Cited by 107
Intranasal oxytocin, but not vasopressin, augments neural responses to toddlers in human fathers
Li, T., Chen, X., Mascaro, J., Haroon, E., & Rilling, J. K. (2017) · Hormones and Behavior · doi:10.1016/j.yhbeh.2017.01.006 · Cited by 105
Subjective uncertainty and limbic hyperactivation in obsessive‐compulsive disorder
Stern, E. R., Welsh, R. C., Gonzalez, R., Fitzgerald, K. D., Abelson, J. L., & Taylor, S. F. (2013) · Human Brain Mapping · doi:10.1002/hbm.22038 · Cited by 102
Kamagata, K., Zalesky, A., Hatano, T., Ueda, R., Di Biase, M. A., Okuzumi, A., Shimoji, K., Hori, M., Caeyenberghs, K., Pantelis, C., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23628 · Cited by 106
Townsend, J. D., Eberhart, N. K., Bookheimer, S. Y., Eisenberger, N. I., Foland-Ross, L. C., Cook, I. A., Sugar, C. A., & Altshuler, L. L. (2010) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2010.06.001 · Cited by 105
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Naganawa, M., Nabulsi, N., Henry, S., Matuskey, D., Lin, S.-F., Slieker, L., Schwarz, A. J., Kant, N., Jesudason, C., Ruley, K., et al. (2021) · Journal of Nuclear Medicine · doi:10.2967/jnumed.120.246967 · Cited by 94
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Geurts, L. S., Cooke, J. R. H., van Bergen, R. S., & Jehee, J. F. M. (2022) · Nature Human Behaviour · doi:10.1038/s41562-021-01247-w · Cited by 104
Zhao, Z., Huang, T., Tang, C., Ni, K., Pan, X., Yan, C., Fan, X., Xu, D., & Luo, Y. (2017) · PLOS ONE · doi:10.1371/journal.pone.0176494 · Cited by 103
Quintana, D. S., Westlye, L. T., Alnæs, D., Rustan, Ø. G., Kaufmann, T., Smerud, K. T., Mahmoud, R. A., Djupesland, P. G., & Andreassen, O. A. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2016.04.010 · Cited by 102
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Bao, S., & Chung, A. C. S. (2018) · Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization · doi:10.1080/21681163.2016.1182072 · Cited by 101
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Slattery, C. F., Zhang, J., Paterson, R. W., Foulkes, A. J. M., Carton, A., Macpherson, K., Mancini, L., Thomas, D. L., Modat, M., Toussaint, N., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.04.021 · Cited by 102
Lin, H.-Y., Tseng, W.-Y. I., Lai, M.-C., Matsuo, K., & Gau, S. S.-F. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s135561771500020x · Cited by 102
Zhao, Z., Yao, S., Li, K., Sindermann, C., Zhou, F., Zhao, W., Li, J., Lührs, M., Goebel, R., Kendrick, K. M., et al. (2019) · Psychotherapy and Psychosomatics · doi:10.1159/000496057 · Cited by 102
Default mode network subsystems are differentially disrupted in posttraumatic stress disorder
Miller, D. R., Hayes, S. M., Hayes, J. P., Spielberg, J. M., Lafleche, G., & Verfaellie, M. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.12.006 · Cited by 101
Venkataraman, A. V., Mansur, A., Rizzo, G., Bishop, C., Lewis, Y., Kocagoncu, E., Lingford-Hughes, A., Huiban, M., Passchier, J., Rowe, J. B., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abk1051 · Cited by 101
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Silver, M. A., Shenhav, A., & D'Esposito, M. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.038 · Cited by 100
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Dichter, G. S., Felder, J. N., & Smoski, M. J. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.06.027 · Cited by 99
Jamadar, S. D., Ward, P. G., Liang, E. X., Orchard, E. R., Chen, Z., & Egan, G. F. (2020) · doi:10.1101/2020.05.01.071662 · Cited by 98
Igelström, K. M., Webb, T. W., & Graziano, M. S. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw079 · Cited by 93
Krain, A. L., Hefton, S., Pine, D. S., Ernst, M., Xavier Castellanos, F., Klein, R. G., & Milham, M. P. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01677.x · Cited by 94
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Engman, J., Linnman, C., Van Dijk, K. R. A., & Milad, M. R. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.09.012 · Cited by 89
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Jocham, G., Brodersen, K. H., Constantinescu, A. O., Kahn, M. C., Ianni, A. M., Walton, M. E., Rushworth, M. F. S., & Behrens, T. E. J. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.018 · Cited by 92
Smoski, M. J., Rittenberg, A., & Dichter, G. S. (2011) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2011.06.012 · Cited by 91
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Greene, D. J., Mooshagian, E., Kaplan, J. T., Zaidel, E., & Iacoboni, M. (2009) · Psychological Research Psychologische Forschung · doi:10.1007/s00426-009-0233-3 · Cited by 93
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Musso, F., Bettermann, F., Vucurevic, G., Stoeter, P., Konrad, A., & Winterer, G. (2007) · Psychopharmacology · doi:10.1007/s00213-006-0499-8 · Cited by 93
Dillon, D. G., & Pizzagalli, D. A. (2013) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2013.01.001 · Cited by 91
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Pincus, D. (2010) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2010.00134 · Cited by 91
Benou, A., Veksler, R., Friedman, A., & Riklin Raviv, T. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.07.006 · Cited by 91
Zalesky, A. (2011) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2010.06.027 · Cited by 88
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Sato, J. R., Salum, G. A., Gadelha, A., Picon, F. A., Pan, P. M., Vieira, G., Zugman, A., Hoexter, M. Q., Anés, M., Moura, L. M., et al. (2014) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.07.004 · Cited by 85
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GOTO, M., ABE, O., MIYATI, T., YAMASUE, H., GOMI, T., & TAKEDA, T. (2016) · Magnetic Resonance in Medical Sciences · doi:10.2463/mrms.rev.2015-0060 · Cited by 82
Bauer, C. C. C., Caballero, C., Scherer, E., West, M. R., Mrazek, M. D., Phillips, D. T., Whitfield-Gabrieli, S., & Gabrieli, J. D. E. (2019) · Behavioral Neuroscience · doi:10.1037/bne0000337 · Cited by 85
Peters, S., Jolles, D. J., Duijvenvoorde, A. C. K. V., Crone, E. A., & Peper, J. S. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.01.004 · Cited by 88
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Eichert, N., Papp, D., Mars, R. B., & Watkins, K. E. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa182 · Cited by 89
Bai, F., Watson, D. R., Shi, Y., Wang, Y., Yue, C., YuhuanTeng, Wu, D., Yuan, Y., & Zhang, Z. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024271 · Cited by 85
Kaczkurkin, A. N., Moore, T. M., Calkins, M. E., Ciric, R., Detre, J. A., Elliott, M. A., Foa, E. B., Garcia de la Garza, A., Roalf, D. R., Rosen, A., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.174 · Cited by 86
Paulsen, D. J., Hallquist, M. N., Geier, C. F., & Luna, B. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.09.003 · Cited by 86
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WAGER, T. D., JONIDES, J., SMITH, E. E., & NICHOLS, T. E. (2005) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.5.2.127 · Cited by 86
Otake, Y., Wang, A. S., Webster Stayman, J., Uneri, A., Kleinszig, G., Vogt, S., Khanna, A. J., Gokaslan, Z. L., & Siewerdsen, J. H. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/23/8535 · Cited by 85
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Spielberg, J. M., Miller, G. A., Warren, S. L., Engels, A. S., Crocker, L. D., Banich, M. T., Sutton, B. P., & Heller, W. (2012) · Psychophysiology · doi:10.1111/j.1469-8986.2012.01443.x · Cited by 84
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Abbas, A., Belloy, M., Kashyap, A., Billings, J., Nezafati, M., Schumacher, E. H., & Keilholz, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.076 · Cited by 81
Lukas, S. E., Lowen, S. B., Lindsey, K. P., Conn, N., Tartarini, W., Rodolico, J., Mallya, G., Palmer, C., & Penetar, D. M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.055 · Cited by 83
Ong, I. M., Gonzalez, J. G., McIlwain, S. J., Sawin, E. A., Schoen, A. J., Adluru, N., Alexander, A. L., & Yu, J.-P. J. (2018) · Translational Psychiatry · doi:10.1038/s41398-017-0022-5 · Cited by 83
Chen, X., Hackett, P. D., DeMarco, A. C., Feng, C., Stair, S., Haroon, E., Ditzen, B., Pagnoni, G., & Rilling, J. K. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9411-7 · Cited by 81
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Starck, T., Nikkinen, J., Rahko, J., Remes, J., Hurtig, T., Haapsamo, H., Jussila, K., Kuusikko-Gauffin, S., Mattila, M.-L., Jansson-Verkasalo, E., et al. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00802 · Cited by 75
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Bahnemann, M., Dziobek, I., Prehn, K., Wolf, I., & Heekeren, H. R. (2010) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp045 · Cited by 81
Larsen, B., Cui, Z., Adebimpe, A., Pines, A., Alexander-Bloch, A., Bertolero, M., Calkins, M. E., Gur, R. E., Gur, R. C., Mahadevan, A. S., et al. (2022) · Science Advances · doi:10.1126/sciadv.abj8750 · Cited by 80
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Zeidan, F., Salomons, T., Farris, S. R., Emerson, N. M., Adler-Neal, A., Jung, Y., & Coghill, R. C. (2018) · Pain · doi:10.1097/j.pain.0000000000001344 · Cited by 77
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Metadata
- Authors
- Jenkinson, M., Bannister, P., Brady, M., & Smith, S.
- Affiliations
- John Radcliffe Hospital (GB)
- University of Oxford (GB)
- Corresponding author
- Jenkinson, Mark
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 17
- Issue
- 2
- Pages
- 825-841
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2052644075
- Cited by
- 11,888
- References
- 18
- Citations by year
- 2026: 738 · 2025: 819 · 2024: 853 · 2023: 847 · 2022: 824 · 2021: 841 · 2020: 885 · 2019: 743 · 2018: 720 · 2017: 663 · 2016: 663 · 2015: 611 · 2014: 521 · 2013: 477 · 2012: 351
- FWCI
- 44.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Research Council
- Engineering and Physical Sciences Research Council
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- linear registration, brain image registration, motion correction, optimization methods, local minima, global-local optimization, multi-resolution registration, interpolation methods, registration accuracy
- MeSH terms
- Acoustic Stimulation, Algorithms, Brain, Computer Simulation, Data Interpretation, Statistical, Humans, Image Interpretation, Computer-Assisted, Models, Neurological, Motion, Photic Stimulation, Reproducibility of Results, Linear Models, Fuzzy Logic
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