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Bias between MNI and Talairach coordinates analyzed using the ICBM‐152 brain template
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MNI coordinates determined using SPM2 and FSL/ FLIRT with the ICBM‐152 template were compared to Talairach coordinates determined using a landmark‐based Talairach registration method (TAL). Analysis revealed a clear‐cut bias in reference frames (origin, orientation) and scaling (brain size). Accordingly, ICBM‐152 fitted brains were consistently larger, oriented more nose down, and translated slightly down relative to TAL fitted brains. Whole brain analysis of MNI/Talairach coordinate disparity revealed an ellipsoidal pattern with disparity ranging from zero at a point deep within the left hemisphere to greater than 1‐cm for some anterior brain areas. MNI/Talairach coordinate disparity was generally less for brains fitted using FSL. The mni2tal transform generally reduced MNI/Talairach coordinate disparity for inferior brain areas but increased disparity for anterior, posterior, and superior areas. Coordinate disparity patterns differed for brain templates (MNI‐305, ICBM‐152) using the same fitting method (FSL/ FLIRT ) and for different fitting methods (SPM2, FSL/ FLIRT ) using the same template (ICBM‐152). An MNI‐to‐Talairach (MTT) transform to correct for bias between MNI and Talairach coordinates was formulated using a best‐fit analysis in one hundred high‐resolution 3‐D MR brain images. MTT transforms optimized for SPM2 and FSL were shown to reduced group mean MNI/Talairach coordinate disparity from a 5‐13 mm to 1‐2 mm for both deep and superficial brain sites. MTT transforms provide a validated means to convert MNI coordinates to Talairach compatible coordinates for studies using either SPM2 or FSL/ FLIRT with the ICBM‐152 template. Hum Brain Mapp 2007. © 2007 Wiley‐Liss, Inc.
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“Differences in coordinate spaces (MNI vs. Talairach space) were accounted for by transforming coordinates reported in Talairach space into MNI coordinates using a linear transformation (Lancaster et al., 2007).”
From Meditation-related activations are modulated by the practices needed to obtain it and by the expertise: an ALE meta-analysis study (2013) · cites this paper as Lancaster et al., 2007
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“As the MNI/Talairach coordinate bias associated with reference frame (position and orientation) and scale (brain size) can be substantially reduced using the best-fit tal2icbm transform (Lancaster et al. 2007), coordinates that were not reported in the MNI space were transformed using the Lancaster transformation.”
From Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis (2017) · cites this paper as Lancaster et al. 2007
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Cites
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Talairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058
A generalized inverse for matrices
Penrose, R. (1955) · Mathematical Proceedings of the Cambridge Philosophical Society · doi:10.1017/s0305004100030401 · Cited by 4,611
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 4×
“D brain image template to guide fitting has evolved as a popular alternative to earlier landmark-based methods [Ashburner and Friston, 1999; Chau et al., 2005; Collins et al., 1994].”
MethodInfluentialSelf-citationMazziotta, J. C., Toga, A. W., Evans, A. C., Fox, P. T., Lancaster, J. L., Zilles, K., Woods, R. P., Paus, T., Simpson, G. V., Pike, G. B., et al. (2001) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.0915 · Cited by 2,417
Self-citationA Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development
Mazziotta, J. C., Toga, A. W., Evans, A., Fox, P. T., & Lancaster, J. L. (1995) · NeuroImage · doi:10.1006/nimg.1995.1012 · Cited by 1,578
Self-citation3D statistical neuroanatomical models from 305 MRI volumes
Evans, A. C., Collins, D. L., Mills, S., Brown, E. D., Kelly, R. L., & Peters, T. M. (2005) · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · doi:10.1109/nssmic.1993.373602 · Cited by 1,487
Self-citationThe problem of functional localization in the human brain
Brett, M., Johnsrude, I. S., & Owen, A. M. (2002) · Nature reviews. Neuroscience · doi:10.1038/nrn756 · Cited by 1,154
Research works printed but not linked: 1
- Fox PT, 1994, Advances in Functional Neuroimaging: Technical Foundations, 98
Cited by
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Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp055 · Cited by 4,060
Large-scale automated synthesis of human functional neuroimaging data.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods · doi:10.1038/nmeth.1635 · Cited by 3,686
Functional topography in the human cerebellum: A meta-analysis of neuroimaging studies
STOODLEY, C., & SCHMAHMANN, J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.039 · Cited by 2,183
Bartra, O., McGuire, J. T., & Kable, J. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.063 · Cited by 1,927
The integration of negative affect, pain and cognitive control in the cingulate cortex
Shackman, A. J., Salomons, T. V., Slagter, H. A., Fox, A. S., Winter, J. J., & Davidson, R. J. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn2994 · Cited by 2,082
Fractionating theory of mind: a meta-analysis of functional brain imaging studies
Schurz, M., Radua, J., Aichhorn, M., Richlan, F., & Perner, J. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.01.009 · Cited by 1,656
Niendam, T. A., Laird, A. R., Ray, K. L., Dean, Y. M., Glahn, D. C., & Carter, C. S. (2012) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-011-0083-5 · Cited by 1,700
“Coordinates originally published in MNI space were converted to Talairach space using the Lancaster (icbm2tal) transformation (Laird et al., 2010; Lancaster et al., 2007).”
MethodIdentification of a Common Neurobiological Substrate for Mental Illness
Goodkind, M., Eickhoff, S. B., Oathes, D. J., Jiang, Y., Chang, A., Jones-Hagata, L. B., Ortega, B. N., Zaiko, Y. V., Roach, E. L., Korgaonkar, M. S., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2206 · Cited by 1,404
Self-citationALE meta-analysis of action observation and imitation in the human brain
Caspers, S., Zilles, K., Laird, A. R., & Eickhoff, S. B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.112 · Cited by 1,386
Self-citationMenzies, L., Chamberlain, S. R., Laird, A. R., Thelen, S. M., Sahakian, B. J., & Bullmore, E. T. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.09.005 · Cited by 1,190
The hubs of the human connectome are generally implicated in the anatomy of brain disorders
Crossley, N. A., Mechelli, A., Scott, J., Carletti, F., Fox, P. T., McGuire, P., & Bullmore, E. T. (2014) · Brain · doi:10.1093/brain/awu132 · Cited by 1,166
Self-citationMeta-analysis of 41 functional neuroimaging studies of executive function in schizophrenia
Minzenberg, M. J., Laird, A. R., Thelen, S., Carter, C. S., & Glahn, D. C. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.91 · Cited by 1,158
Toward systems neuroscience of ADHD: a meta-analysis of 55 fMRI studies
Cortese, S., Kelly, C., Chabernaud, C., Proal, E., Di Martino, A., Milham, M. P., & Castellanos, F. X. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.11101521 · Cited by 1,067
Spreng, R. N., & Grady, C. L. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21282 · Cited by 985
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Laird, A. R., Fox, P. M., Eickhoff, S. B., Turner, J. A., Ray, K. L., McKay, D. R., Glahn, D. C., Beckmann, C. F., Smith, S. M., & Fox, P. T. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00077 · Cited by 1,023
Self-citationModelling neural correlates of working memory: A coordinate-based meta-analysis
Rottschy, C., Langner, R., Dogan, I., Reetz, K., Laird, A. R., Schulz, J. B., Fox, P. T., & Eickhoff, S. B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.050 · Cited by 951
Self-citationNeural network of cognitive emotion regulation—an ALE meta-analysis and MACM analysis
Kohn, N., Eickhoff, S. B., Scheller, M., Laird, A. R., Fox, P. T., & Habel, U. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.001 · Cited by 956
Self-citationBeissner, F., Meissner, K., Bar, K.-J., & Napadow, V. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1103-13.2013 · Cited by 920
Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder
Radua, J., & Mataix-Cols, D. (2009) · British Journal of Psychiatry · doi:10.1192/bjp.bp.108.055046 · Cited by 863
Ten simple rules for neuroimaging meta-analysis
Müller, V. I., Cieslik, E. C., Laird, A. R., Fox, P. T., Radua, J., Mataix-Cols, D., Tench, C. R., Yarkoni, T., Nichols, T. E., Turkeltaub, P. E., et al. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.11.012 · Cited by 805
Self-citationInformatic parcellation of the network involved in the computation of subjective value
Clithero, J. A., & Rangel, A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst106 · Cited by 706
Langner, R., & Eickhoff, S. B. (2013) · Psychological Bulletin · doi:10.1037/a0030694 · Cited by 746
Left inferior frontal gyrus is critical for response inhibition
Swick, D., Ashley, V., & Turken, A. U. (2008) · BMC Neuroscience · doi:10.1186/1471-2202-9-102 · Cited by 745
Neural mechanisms underlying auditory feedback control of speech
Tourville, J. A., Reilly, K. J., & Guenther, F. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.054 · Cited by 649
Jardri, R., Pouchet, A., Pins, D., & Thomas, P. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09101522 · Cited by 651
McTeague, L. M., Huemer, J., Carreon, D. M., Jiang, Y., Eickhoff, S. B., & Etkin, A. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16040400 · Cited by 635
“All coordinates reported in Talairach space were converted into MNI space (27).”
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Wiener, M., Turkeltaub, P., & Coslett, H. B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.064 · Cited by 594
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Schacht, J. P., Anton, R. F., & Myrick, H. (2013) · Addiction Biology · doi:10.1111/j.1369-1600.2012.00464.x · Cited by 583
neuromaps: structural and functional interpretation of brain maps
Markello, R. D., Hansen, J. Y., Liu, Z.-Q., Bazinet, V., Shafiei, G., Suárez, L. E., Blostein, N., Seidlitz, J., Baillet, S., Satterthwaite, T. D., et al. (2022) · Nature Methods · doi:10.1038/s41592-022-01625-w · Cited by 479
Mohr, P. N. C., Biele, G., & Heekeren, H. R. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0003-10.2010 · Cited by 411
Fear is only as deep as the mind allows
Diekhof, E. K., Geier, K., Falkai, P., & Gruber, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.073 · Cited by 413
Neural substrates of smoking cue reactivity: A meta-analysis of fMRI studies
Engelmann, J. M., Versace, F., Robinson, J. D., Minnix, J. A., Lam, C. Y., Cui, Y., Brown, V. L., & Cinciripini, P. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.024 · Cited by 394
Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis
Zhang, R., Geng, X., & Lee, T. M. C. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1443-x · Cited by 398
van Ewijk, H., Heslenfeld, D. J., Zwiers, M. P., Buitelaar, J. K., & Oosterlaan, J. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.01.003 · Cited by 377
McTeague, L. M., Rosenberg, B. M., Lopez, J. W., Carreon, D. M., Huemer, J., Jiang, Y., Chick, C. F., Eickhoff, S. B., & Etkin, A. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18111271 · Cited by 388
Benoit, R. G., & Schacter, D. L. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.06.034 · Cited by 366
Luk, G., Green, D. W., Abutalebi, J., & Grady, C. (2012) · Language and Cognitive Processes · doi:10.1080/01690965.2011.613209 · Cited by 375
Laird, A. R. (2009) · Frontiers in Neuroinformatics · doi:10.3389/neuro.11.023.2009 · Cited by 372
Criaud, M., & Boulinguez, P. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.11.003 · Cited by 368
Localization of pain-related brain activation: A meta-analysis of neuroimaging data
Duerden, E. G., & Albanese, M. (2013) · Human Brain Mapping · doi:10.1002/hbm.21416 · Cited by 342
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Samson, F., Mottron, L., Soulières, I., & Zeffiro, T. A. (2012) · Human Brain Mapping · doi:10.1002/hbm.21307 · Cited by 351
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Cieslik, E. C., Mueller, V. I., Eickhoff, C. R., Langner, R., & Eickhoff, S. B. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.11.003 · Cited by 322
Koch, S. B. J., van Zuiden, M., Nawijn, L., Frijling, J. L., Veltman, D. J., & Olff, M. (2016) · Depression and Anxiety · doi:10.1002/da.22478 · Cited by 334
Kim, C., Cilles, S. E., Johnson, N. F., & Gold, B. T. (2012) · Human Brain Mapping · doi:10.1002/hbm.21199 · Cited by 317
Sperduti, M., Delaveau, P., Fossati, P., & Nadel, J. (2011) · Brain Structure and Function · doi:10.1007/s00429-010-0298-1 · Cited by 287
Neural substrates of the self‐memory system: New insights from a meta‐analysis
Martinelli, P., Sperduti, M., & Piolino, P. (2013) · Human Brain Mapping · doi:10.1002/hbm.22008 · Cited by 281
Silverman, M. H., Jedd, K., & Luciana, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.083 · Cited by 277
Kragel, P. A., Kano, M., Van Oudenhove, L., Ly, H. G., Dupont, P., Rubio, A., Delon-Martin, C., Bonaz, B. L., Manuck, S. B., Gianaros, P. J., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0051-7 · Cited by 272
Gray Matter Correlates of Posttraumatic Stress Disorder: A Quantitative Meta-Analysis
Kühn, S., & Gallinat, J. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.06.029 · Cited by 259
Hein, T. C., & Monk, C. S. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12651 · Cited by 257
Samea, F., Soluki, S., Nejati, V., Zarei, M., Cortese, S., Eickhoff, S. B., Tahmasian, M., & Eickhoff, C. R. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.02.011 · Cited by 245
Ng, T. H., Alloy, L. B., & Smith, D. V. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0644-x · Cited by 244
Voxelwise meta-analysis of gray matter reduction in major depressive disorder
Du, M.-Y., Wu, Q.-Z., Yue, Q., Li, J., Liao, Y., Kuang, W.-H., Huang, X.-Q., Chan, R. C. K., Mechelli, A., & Gong, Q.-Y. (2012) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2011.09.014 · Cited by 237
Rotge, J.-Y., Langbour, N., Guehl, D., Bioulac, B., Jaafari, N., Allard, M., Aouizerate, B., & Burbaud, P. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.175 · Cited by 228
The neural mechanisms of hallucinations: A quantitative meta-analysis of neuroimaging studies
Zmigrod, L., Garrison, J. R., Carr, J., & Simons, J. S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.037 · Cited by 226
Hung, Y., Gaillard, S. L., Yarmak, P., & Arsalidou, M. (2018) · Human Brain Mapping · doi:10.1002/hbm.24232 · Cited by 212
Xu, J., Van Dam, N. T., Feng, C., Luo, Y., Ai, H., Gu, R., & Xu, P. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.11.005 · Cited by 212
Ersche, K. D., Williams, G. B., Robbins, T. W., & Bullmore, E. T. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.02.017 · Cited by 205
Common and Distinct Mechanisms of Cognitive Flexibility in Prefrontal Cortex
Kim, C., Johnson, N. F., Cilles, S. E., & Gold, B. T. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5923-10.2011 · Cited by 216
Gray matter alterations in chronic pain: A network-oriented meta-analytic approach
Cauda, F., Palermo, S., Costa, T., Torta, R., Duca, S., Vercelli, U., Geminiani, G., & Torta, D. M. E. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.04.007 · Cited by 212
The somatotopy of speech: phonation and articulation in the human motor cortex
Brown, S., Laird, A. R., Pfordresher, P. Q., Thelen, S. M., Turkeltaub, P., & Liotti, M. (2009) · Brain and Cognition · doi:10.1016/j.bandc.2008.12.006 · Cited by 210
Decreased dopamine activity predicts relapse in methamphetamine abusers
Wang, G. J., Smith, L., Volkow, N. D., Telang, F., Logan, J., Tomasi, D., Wong, C. T., Hoffman, W., Jayne, M., Alia-Klein, N., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.86 · Cited by 214
Amanzio, M., Benedetti, F., Porro, C. A., Palermo, S., & Cauda, F. (2013) · Human Brain Mapping · doi:10.1002/hbm.21471 · Cited by 202
Grivaz, P., Blanke, O., & Serino, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.052 · Cited by 203
Wagner, S., Sebastian, A., Lieb, K., Tüscher, O., & Tadić, A. (2014) · BMC Neuroscience · doi:10.1186/1471-2202-15-19 · Cited by 205
Disrupted Dorsal Mid-Insula Activation During Interoception Across Psychiatric Disorders
Nord, C. L., Lawson, R. P., & Dalgleish, T. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20091340 · Cited by 171
Wigton, R., Radua, J., Allen, P., Averbeck, B., Meyer-Lindenberg, A., McGuire, P., Shergill, S. S., & Fusar-Poli, P. (2015) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.130289 · Cited by 179
Hoffstaedter, F., Grefkes, C., Caspers, S., Roski, C., Palomero‐Gallagher, N., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2014) · Human Brain Mapping · doi:10.1002/hbm.22363 · Cited by 164
“…region was also found by Shackman et al. [2011] in a quantitative meta-analyses to feature overlapping activity for the three domains: cognitive control, pain, and negative affect (Talairach coordinates: x 5 0, y 5 12, z 5 42; MNI-transformation [Lancaster et al., 2007]: x 5 1, y 5 17, z 5 41).”
BackgroundMethodSelf-citationVijayakumar, N., Cheng, T. W., & Pfeifer, J. H. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.050 · Cited by 161
“GingerALE v2.”
MethodInfluentialSong, S., Zilverstand, A., Song, H., d’Oleire Uquillas, F., Wang, Y., Xie, C., Cheng, L., & Zou, Z. (2017) · Scientific Reports · doi:10.1038/s41598-017-02266-2 · Cited by 160
Tomasino, B., Fregona, S., Skrap, M., & Fabbro, F. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00346 · Cited by 145
Eng, G. K., Sim, K., & Chen, S.-H. A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.03.002 · Cited by 148
The neural correlates of visual imagery: A co-ordinate-based meta-analysis
Winlove, C. I. P., Milton, F., Ranson, J., Fulford, J., MacKisack, M., Macpherson, F., & Zeman, A. (2018) · Cortex · doi:10.1016/j.cortex.2017.12.014 · Cited by 150
Meta-analysis of functional brain imaging in specific phobia
Ipser, J. C., Singh, L., & Stein, D. J. (2013) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12055 · Cited by 142
Effects of dietary glycemic index on brain regions related to reward and craving in men
Lennerz, B. S., Alsop, D. C., Holsen, L. M., Stern, E., Rojas, R., Ebbeling, C. B., Goldstein, J. M., & Ludwig, D. S. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.064113 · Cited by 140
Cromheeke, S., & Mueller, S. C. (2014) · Brain Structure and Function · doi:10.1007/s00429-013-0549-z · Cited by 132
Practical recommendations to conduct a neuroimaging meta-analysis for neuropsychiatric disorders
Tahmasian, M., Sepehry, A. A., Samea, F., Khodadadifar, T., Soltaninejad, Z., Javaheripour, N., Khazaie, H., Zarei, M., Eickhoff, S. B., & Eickhoff, C. R. (2019) · Human Brain Mapping · doi:10.1002/hbm.24746 · Cited by 126
A supramodal role of the basal ganglia in memory and motor inhibition: meta-analytic evidence
Guo, Y., Schmitz, T. W., Mur, M., Ferreira, C. S., & Anderson, M. C. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.11.033 · Cited by 133
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Bærentsen, K. B., Stødkilde-Jørgensen, H., Sommerlund, B., Hartmann, T., Damsgaard-Madsen, J., Fosnæs, M., & Green, A. C. (2010) · Cognitive Processing · doi:10.1007/s10339-009-0342-3 · Cited by 128
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Metadata
- Authors
- Lancaster, J. L., Tordesillas‐Gutiérrez, D., Martinez, M., Salinas, F., Evans, A., Zilles, K., Mazziotta, J. C., & Fox, P. T.
- Affiliations
- The University of Texas at San Antonio Health Science Center (US)
- Montreal Neurological Institute and Hospital (CA)
- University of California, Los Angeles (US)
- ORCID
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2007-01-31
- Volume
- 28
- Issue
- 11
- Pages
- 1194-1205
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871323
- OpenAlex
- W2134610285
- Cited by
- 1,464
- References
- 28
- Citations by year
- 2026: 55 · 2025: 78 · 2024: 66 · 2023: 89 · 2022: 91 · 2021: 84 · 2020: 76 · 2019: 86 · 2018: 71 · 2017: 99 · 2016: 89 · 2015: 85 · 2014: 94 · 2013: 87 · 2012: 91
- FWCI
- 59.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- Funders
- National Institute of Mental Health (T32MH065728, 5 32 MH65728-03)
- National Institute on Drug Abuse (P20 MH/ DA52176)
- 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
- Talairach coordinates, coordinate transformation, landmark-based registration, brain size scaling
- MeSH terms
- Algorithms, Brain, Brain Mapping, Fourier Analysis, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Anatomic, Pattern Recognition, Automated, Reference Values, Software, Stereotaxic Techniques, Bias, Imaging, Three-Dimensional
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