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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 201–300 of 1,230
Connolly, C. G., Wu, J., Ho, T. C., Hoeft, F., Wolkowitz, O., Eisendrath, S., Frank, G., Hendren, R., Max, J. E., Paulus, M. P., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.05.036 · Cited by 356
Farrell, J. A. D., Landman, B. A., Jones, C. K., Smith, S. A., Prince, J. L., van Zijl, P. C. M., & Mori, S. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21053 · Cited by 353
Self-citationThe Neuro Bureau ADHD-200 Preprocessed repository
Bellec, P., Chu, C., Chouinard-Decorte, F., Benhajali, Y., Margulies, D. S., & Craddock, R. C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.034 · Cited by 379
Changing Brain Networks for Visuomotor Control With Increased Movement Automaticity
Floyer-Lea, A., & Matthews, P. M. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01092.2003 · Cited by 349
Brooks, J. C. W., Zambreanu, L., Godinez, A., Craig, A. D. (., & Tracey, I. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.041 · Cited by 355
Altered resting-state amygdala functional connectivity in men with posttraumatic stress disorder
Sripada, R. K., King, A. P., Garfinkel, S. N., Wang, X., Sripada, C. S., Welsh, R. C., & Liberzon, I. (2012) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.110069 · Cited by 352
Association between heart rate variability and fluctuations in resting-state functional connectivity
Chang, C., Metzger, C. D., Glover, G. H., Duyn, J. H., Heinze, H., & Walter, M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.038 · Cited by 368
Variability in fMRI: An Examination of Intersession Differences
McGonigle, D. J., Howseman, A., Athwal, B. S., Friston, K. J., Frackowiak, R. S. J., & Holmes, A. P. (2000) · NeuroImage · doi:10.1006/nimg.2000.0562 · Cited by 350
Phantom pain is associated with preserved structure and function in the former hand area
Makin, T. R., Scholz, J., Filippini, N., Slater, D. H., Tracey, I., & Johansen‐Berg, H. (2013) · Nature Communications · doi:10.1038/ncomms2571 · Cited by 349
Chen, X., Lu, B., & Yan, C. (2018) · Human Brain Mapping · doi:10.1002/hbm.23843 · Cited by 340
Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348
Rosas, H. D., Tuch, D. S., Hevelone, N. D., Zaleta, A. K., Vangel, M. G., Hersch, S. M., & Salat, D. H. (2006) · Movement Disorders · doi:10.1002/mds.20979 · Cited by 349
A neural circuit for comorbid depressive symptoms in chronic pain
Zhou, W., Jin, Y., Meng, Q., Zhu, X., Bai, T., Tian, Y., Mao, Y., Wang, L., Xie, W., Zhong, H., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0468-2 · Cited by 353
Kelly, R. E., Alexopoulos, G. S., Wang, Z., Gunning, F. M., Murphy, C. F., Morimoto, S. S., Kanellopoulos, D., Jia, Z., Lim, K. O., & Hoptman, M. J. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.03.028 · Cited by 345
EEG correlates of time-varying BOLD functional connectivity
Chang, C., Liu, Z., Chen, M. C., Liu, X., & Duyn, J. H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.049 · Cited by 355
Yushkevich, P. A., Amaral, R. S. C., Augustinack, J. C., Bender, A. R., Bernstein, J. D., Boccardi, M., Bocchetta, M., Burggren, A. C., Carr, V. A., Chakravarty, M. M., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.004 · Cited by 342
Multi-compartment microscopic diffusion imaging
Kaden, E., Kelm, N. D., Carson, R. P., Does, M. D., & Alexander, D. C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.002 · Cited by 345
Laird, A. R., Robinson, J. L., McMillan, K. M., Tordesillas‐Gutiérrez, D., Moran, S. T., Gonzales, S. M., Ray, K. L., Franklin, C. G., Glahn, D. C., Fox, P. T., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.048 · Cited by 344
Evaluating the evidence for biotypes of depression: Methodological replication and extension of
Dinga, R., Schmaal, L., Penninx, B. W. J. H., van Tol, M. J., Veltman, D. J., van Velzen, L., Mennes, M., van der Wee, N. J. A., & Marquand, A. F. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101796 · Cited by 313
Natural Scene Categories Revealed in Distributed Patterns of Activity in the Human Brain
Walther, D. B., Caddigan, E., Fei-Fei, L., & Beck, D. M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0559-09.2009 · Cited by 336
How the Opinion of Others Affects Our Valuation of Objects
Campbell-Meiklejohn, D. K., Bach, D. R., Roepstorff, A., Dolan, R. J., & Frith, C. D. (2010) · Current Biology · doi:10.1016/j.cub.2010.04.055 · Cited by 339
Breathing above the brain stem: volitional control and attentional modulation in humans
Herrero, J. L., Khuvis, S., Yeagle, E., Cerf, M., & Mehta, A. D. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00551.2017 · Cited by 338
Kral, T. R. A., Schuyler, B. S., Mumford, J. A., Rosenkranz, M. A., Lutz, A., & Davidson, R. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.013 · Cited by 326
Getting a grip on other minds: Mirror neurons, intention understanding, and cognitive empathy
Kaplan, J. T., & Iacoboni, M. (2006) · Social Neuroscience · doi:10.1080/17470910600985605 · Cited by 333
Cox, C. L., Uddin, L. Q., Di Martino, A., Castellanos, F. X., Milham, M. P., & Kelly, C. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr051 · Cited by 333
The Impact of Sex, Puberty, and Hormones on White Matter Microstructure in Adolescents
Herting, M. M., Maxwell, E. C., Irvine, C., & Nagel, B. J. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr246 · Cited by 342
Offline impact of transcranial focused ultrasound on cortical activation in primates
Verhagen, L., Galléa, C., Folloni, D., Constans, C., Jensen, D. E. A., Ahnine, H., Roumazeilles, L., Santin, M. D., Ahmed, B., Lehéricy, S., et al. (2019) · eLife · doi:10.7554/elife.40541 · Cited by 319
DeepAD: Alzheimer’s Disease Classification via Deep Convolutional Neural Networks using MRI and fMRIPreprint
Sarraf, S., DeSouza, D. D., Anderson, J. A. E., Tofighi, G., & Initiative, A. D. N. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/070441 · Cited by 341
Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI
Bréchet, L., Brunet, D., Birot, G., Rolf Gruetter, A., Michel, C. M., & Jorge, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.029 · Cited by 339
Triple Dissociation of Faces, Bodies, and Objects in Extrastriate Cortex
Pitcher, D., Charles, L., Devlin, J. T., Walsh, V., & Duchaine, B. (2009) · Current Biology · doi:10.1016/j.cub.2009.01.007 · Cited by 330
Cabral, J., Luckhoo, H., Woolrich, M. W., Joensson, M., Mohseni, H., Baker, A. P., Kringelbach, M. L., & Deco, G. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.047 · Cited by 320
Effect of long-term cannabis use on axonal fibre connectivity
Zalesky, A., Solowij, N., Yücel, M., Lubman, D. I., Takagi, M., Harding, I. H., Lorenzetti, V., Wang, R., Searle, K., Pantelis, C., et al. (2012) · Brain · doi:10.1093/brain/aws136 · Cited by 340
Faskowitz, J., Esfahlani, F. Z., Jo, Y., Sporns, O., & Betzel, R. F. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00719-y · Cited by 341
Tomassini, V., Jbabdi, S., Klein, J. C., Behrens, T. E. J., Pozzilli, C., Matthews, P. M., Rushworth, M. F. S., & Johansen‐Berg, H. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2144-07.2007 · Cited by 334
Joshi, S. H., Espinoza, R. T., Pirnia, T., Shi, J., Wang, Y., Ayers, B., Leaver, A., Woods, R. P., & Narr, K. L. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.02.029 · Cited by 320
Singh, K. D., & Fawcett, I. P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.051 · Cited by 312
Sherman, L. E., Rudie, J. D., Pfeifer, J. H., Masten, C. L., McNealy, K., & Dapretto, M. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.08.002 · Cited by 349
Motion correction and the use of motion covariates in multiple‐subject fMRI analysis
Johnstone, T., Walsh, K. S. O., Greischar, L. L., Alexander, A. L., Fox, A. S., Davidson, R. J., & Oakes, T. R. (2006) · Human Brain Mapping · doi:10.1002/hbm.20219 · Cited by 326
Kerns, J. G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.012 · Cited by 311
Tziortzi, A. C., Haber, S. N., Searle, G. E., Tsoumpas, C., Long, C. J., Shotbolt, P., Douaud, G., Jbabdi, S., Behrens, T. E. J., Rabiner, E. A., et al. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs397 · Cited by 330
Self-citationBastiani, M., Cottaar, M., Fitzgibbon, S. P., Suri, S., Alfaro‐Almagro, F., Sotiropoulos, S. N., Jbabdi, S., & Andersson, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.073 · Cited by 316
Analysis of task-based functional MRI data preprocessed with fMRIPrep
Esteban, O., Ciric, R., Finc, K., Blair, R. W., Markiewicz, C. J., Moodie, C. A., Kent, J. D., Goncalves, M., DuPre, E., Gomez, D. E. P., et al. (2020) · Nature Protocols · doi:10.1038/s41596-020-0327-3 · Cited by 315
Alexander‐Bloch, A. F., Vértes, P. E., Stidd, R., Lalonde, F. M., CLASEN, L. S., Rapoport, J. L., Giedd, J. N., Bullmore, E. T., & Gogtay, N. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr388 · Cited by 319
Distinct Value Signals in Anterior and Posterior Ventromedial Prefrontal Cortex
Smith, D. V., Hayden, B. Y., Truong, T.-K., Song, A. W., Platt, M. L., & Huettel, S. A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.3319-09.2010 · Cited by 300
Mitigating head motion artifact in functional connectivity MRI
Ćirić, R., Rosen, A. F. G., Erus, G., Cieslak, M., Adebimpe, A., Cook, P. A., Bassett, D. S., Davatzikos, C. A., Wolf, D. H., & Satterthwaite, T. D. (2018) · Nature Protocols · doi:10.1038/s41596-018-0065-y · Cited by 299
Your Brain on Google: Patterns of Cerebral Activation during Internet Searching
Small, G. W., Moody, T. D., Siddarth, P., & Bookheimer, S. Y. (2009) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3181953a02 · Cited by 306
Salomons, T. V., Dunlop, K., Kennedy, S. H., Flint, A., Geraci, J., Giacobbe, P., & Downar, J. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.222 · Cited by 299
MR-elastography reveals degradation of tissue integrity in multiple sclerosis
Wuerfel, J. T., Paul, F., Beierbach, B., Hamhaber, U., Klatt, D., Papazoglou, S., Zipp, F., Martus, P., Braun, J., & Sack, I. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.018 · Cited by 310
Yacoub, E. S., Shmuel, A., Logothetis, N. K., & Uǧurbil, K. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.05.020 · Cited by 305
Jocham, G., Klein, T. A., & Ullsperger, M. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3904-10.2011 · Cited by 278
Functionally dissociable influences on learning rate in a dynamic environment
McGuire, J. T., Nassar, M. R., Gold, J. I., & Kable, J. W. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.013 · Cited by 299
Mohanty, A., Engels, A. S., Herrington, J. D., Heller, W., Ringo Ho, M., Banich, M. T., Webb, A. G., Warren, S. L., & Miller, G. A. (2007) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00515.x · Cited by 309
Chaddock-Heyman, L., Erickson, K. I., Voss, M. W., Knecht, A. M., Pontifex, M. B., Castelli, D. M., Hillman, C. H., & Kramer, A. F. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00072 · Cited by 305
Primary auditory cortex activation by visual speech: an fMRI study at 3???T
Pekkola, J., Ojanen, V., Autti, T. H., Jääskeläinen, I. P., Möttönen, R., Tarkiainen, A., & Sams, M. E. (2005) · Neuroreport · doi:10.1097/00001756-200502080-00010 · Cited by 310
Buchsbaum, B. R., Olsen, R. K., Koch, P. F., & Berman, K. F. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.029 · Cited by 315
Reward circuitry function in autism spectrum disorders
Dichter, G. S., Felder, J. N., Green, S. R., Rittenberg, A. M., Sasson, N. J., & Bodfish, J. W. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsq095 · Cited by 296
Libby, L. A., Ekstrom, A. D., Ragland, J. D., & Ranganath, C. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3711-11.2012 · Cited by 311
Dynamic modulation of decision biases by brainstem arousal systems
de Gee, J. W., Colizoli, O., Kloosterman, N. A., Knapen, T. H. J., Nieuwenhuis, S., & Donner, T. H. (2017) · eLife · doi:10.7554/elife.23232 · Cited by 312
Gwilym, S. E., Filippini, N., Douaud, G., Carr, A. J., & Tracey, I. (2010) · Arthritis & Rheumatism · doi:10.1002/art.27585 · Cited by 302
Neural bases of selective attention in action video game players
Bavelier, D., Achtman, R. L., Mani, M., & Föcker, J. (2011) · Vision Research · doi:10.1016/j.visres.2011.08.007 · Cited by 336
Longitudinal Growth Curves of Brain Function Underlying Inhibitory Control through Adolescence
Ordaz, S. J., Foran, W., Velanova, K., & Luna, B. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1741-13.2013 · Cited by 302
Johansson, M. E., Cameron, I. G. M., van der Kolk, N. M., de Vries, N. M., Klimars, E., Toni, I., Bloem, B. R., & Helmich, R. C. G. (2021) · Annals of Neurology · doi:10.1002/ana.26291 · Cited by 325
Plasticity of brain networks in a randomized intervention trial of exercise training in older adults
Voss (2010) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2010.00032 · Cited by 841
The Role of the Posterior Fusiform Gyrus in Reading
Devlin, J. T., Jamison, H. L., Gonnerman, L. M., & Matthews, P. M. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.6.911 · Cited by 304
Neuronal correlates of altered empathy and social cognition in borderline personality disorder
Dziobek, I., Preißler, S., Grozdanovic, Z., Heuser, I., Heekeren, H. R., & Roepke, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.005 · Cited by 300
Coexisting representations of sensory and mnemonic information in human visual cortex
Rademaker, R. L., Chunharas, C., & Serences, J. T. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0428-x · Cited by 306
Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease
Dai, Z., Yan, C., Li, K., Wang, Z., Wang, J., Cao, M., Lin, Q., Shu, N., Xia, M., Bi, Y., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu246 · Cited by 298
The effects of poor quality sleep on brain function and risk taking in adolescence
Telzer, E. H., Fuligni, A. J., Lieberman, M. D., & Galván, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.025 · Cited by 296
Default mode network connectivity in stable vs progressive mild cognitive impairment
Petrella, J. R., Sheldon, F. C., Prince, S. E., Calhoun, V. D., & Doraiswamy, P. M. (2011) · Neurology · doi:10.1212/wnl.0b013e31820af94e · Cited by 300
Resting brain dynamics at different timescales capture distinct aspects of human behavior
Liégeois, R., Li, J., Kong, R., Orbán, C., Ville, D. V. D., Ge, T., Sabuncu, M. R., & Yeo, B. T. T. (2019) · Nature Communications · doi:10.1038/s41467-019-10317-7 · Cited by 300
Linking pattern completion in the hippocampus to predictive coding in visual cortex
Hindy, N. C., Ng, F. Y., & Turk-Browne, N. B. (2016) · Nature Neuroscience · doi:10.1038/nn.4284 · Cited by 246
Hoffman, H. G., Richards, T. L., Van Oostrom, T., Coda, B. A., Jensen, M. P., Blough, D. K., & Sharar, S. R. (2007) · Anesthesia & Analgesia · doi:10.1213/01.ane.0000270205.45146.db · Cited by 295
Constrained linear basis sets for HRF modelling using Variational Bayes
Woolrich, M. W., Behrens, T. E. J., & Smith, S. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.024 · Cited by 295
Self-citationSpatio-temporal point-spread function of fMRI signal in human gray matter at 7 Tesla
Shmuel, A., Yacoub, E., Chaimow, D., Logothetis, N. K., & Ugurbil, K. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.030 · Cited by 294
Kelly, C., de Zubicaray, G., Di Martino, A., Copland, D. A., Reiss, P. T., Klein, D. F., Castellanos, F. X., Milham, M. P., & McMahon, K. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.0810-09.2009 · Cited by 292
Subcortical electrophysiological activity is detectable with high-density EEG source imaging
Seeber, M., Cantonas, L.-M., Hoevels, M., Sesia, T., Visser-Vandewalle, V. E. R. M., & Michel, C. M. (2019) · Nature Communications · doi:10.1038/s41467-019-08725-w · Cited by 294
Ebner, M., Wang, G., Li, W., Aertsen, M., Patel, P. A., Aughwane, R., Melbourne, A., Doel, T., Dymarkowski, S., Coppi, P. D., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116324 · Cited by 277
Neurochemical Effects of Theta Burst Stimulation as Assessed by Magnetic Resonance Spectroscopy
Stagg, C. J., Wylezinska, M., Matthews, P. M., Johansen‐Berg, H., Jezzard, P., Rothwell, J. C., & Bestmann, S. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91060.2008 · Cited by 292
Non-invasive temporal interference electrical stimulation of the human hippocampus
Violante, I. R., Alania, K., Cassara, A. M., Neufeld, E., Acerbo, E., Carron, R., Williamson, A., Kurtin, D. L., Hampshire, A., Hampshire, P. A., et al. (2023) · Nature Neuroscience · doi:10.1016/j.brs.2023.01.833 · Cited by 340
Anchoring the neural compass: coding of local spatial reference frames in human medial parietal lobe
Marchette, S. A., Vass, L. K., Ryan, J., & Epstein, R. A. (2014) · Nature Neuroscience · doi:10.1038/nn.3834 · Cited by 287
Neuroplasticity Associated With Anterior Cruciate Ligament Reconstruction
Grooms, D. R., Page, S. J., Nichols‐Larsen, D. S., Chaudhari, A. M. W., White, S., & Oñate, J. A. (2016) · Journal of Orthopaedic and Sports Physical Therapy · doi:10.2519/jospt.2017.7003 · Cited by 293
Schaechter, J. D., Fricker, Z. P., Perdue, K. L., Helmer, K. G., Vangel, M. G., Greve, D. N., & Makris, N. (2009) · Human Brain Mapping · doi:10.1002/hbm.20770 · Cited by 296
Alterations in regional homogeneity of resting-state brain activity in autism spectrum disorders
Paakki, J.-J., Rahko, J., Long, X., Moilanen, I., Tervonen, O., Nikkinen, J., Starck, T., Remes, J., Hurtig, T., Haapsamo, H., et al. (2010) · Brain Research · doi:10.1016/j.brainres.2009.12.081 · Cited by 286
Acute social isolation evokes midbrain craving responses similar to hunger
Tomova, L., Wang, K. L., Thompson, T., Matthews, G. A., Takahashi, A., Tye, K. M., & Saxe, R. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00742-z · Cited by 283
Landman, B. A., Farrell, J. A. D., Jones, C. K., Smith, S. A., Prince, J. L., & Mori, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.056 · Cited by 287
Self-citationCerliani, L., Thomas, R. M., Jbabdi, S., Siero, J. C. W., Nanetti, L., Crippa, A., Gazzola, V., D'Arceuil, H. E., & Keysers, C. (2011) · Human Brain Mapping · doi:10.1002/hbm.21338 · Cited by 299
Dynamic coupling of whole-brain neuronal and neurotransmitter systems
Kringelbach, M. L., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R. L., Whybrow, P. C., Logothetis, N. K., & Deco, G. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921475117 · Cited by 284
Topakian, R., Barrick, T. R., Howe, F. A., & Markus, H. S. (2010) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2009.172072 · Cited by 281
Ghosh, S. S., Kakunoori, S., Augustinack, J., Nieto-Castanon, A., Kovelman, I., Gaab, N., Christodoulou, J. A., Triantafyllou, C., Gabrieli, J. D. E., & Fischl, B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.075 · Cited by 281
Three dimensional echo-planar imaging at 7 Tesla
Poser, B. A., Koopmans, P. J., Witzel, T., Wald, L. L., & Barth, M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.108 · Cited by 284
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Starr, C. J., Sawaki, L. A., Wittenberg, G. F., Burdette, J. H., Oshiro, Y., de Quevedo, A. S., & Coghill, R. C. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5173-08.2009 · Cited by 297
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Kebets, V., Holmes, A. J., Orbán, C., Tang, S., Li, J., Sun, N., Kong, R., Poldrack, R. A., & Yeo, B. T. T. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.06.013 · Cited by 281
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Fernández‐Espejo, D., Soddu, A., Cruse, D., Palacios, E. M., Junqué, C., Vanhaudenhuyse, A., Rivas, E., Newcombe, V., Menon, D. K., Pickard, J. D., et al. (2012) · Annals of Neurology · doi:10.1002/ana.23635 · Cited by 287
David, S. P., Munafo, M. R., Johansen‐Berg, H., Smith, S. M., Rogers, R. D., Matthews, P. M., & Walton, R. T. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.04.028 · Cited by 275
Self-citationKeown, C. L., Shih, P., Nair, A., Peterson, N., Mulvey, M. E., & Müller, R. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.10.003 · Cited by 304
Akram, H., Sotiropoulos, S. N., Jbabdi, S., Georgiev, D., Mahlknecht, P., Hyam, J., Foltynie, T., Limousin, P., De Vita, E., Jahanshahi, M., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.012 · Cited by 263
Ramnani, N., Behrens, T. E. J., Johansen‐Berg, H., Richter, M. C., Pinsk, M. A., Andersson, J., Rudebeck, P. H., Ciccarelli, O., Richter, W., Thompson, A. J., et al. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj024 · Cited by 287
Rosas, H. D., Lee, S. Y., Bender, A. C., Zaleta, A. K., Vangel, M. G., Yu, P., Fischl, B. R., Pappu, V., Onorato, C., Cha, J.-H. J., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.015 · Cited by 279
Stagg, C. J., Lin, R. L., Mezue, M., Segerdahl, A., Kong, Y., Xie, J., & Tracey, I. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3887-12.2013 · Cited by 279
White matter pathology isolates the hippocampal formation in Alzheimer's disease
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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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