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Nonstationary cluster-size inference with random field and permutation methods
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Cites
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256
Self-citationFunctional neuroanatomy of emotion: A meta-analysis of emotion activation studies in PET and fMRI
Phan, K. L., Wager, T., Taylor, S. F., & Liberzon, I. (2002) · NeuroImage · doi:10.1006/nimg.2002.1087 · Cited by 3,502
Self-citationForman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330508 · Cited by 3,202
Detecting activations in PET and fMRI: levels of inference and power
Friston, K. J., Holmes, A., Poline, J.-B., Price, C. J., & Frith, C. D. (1996) · NeuroImage · doi:10.1006/nimg.1996.0074 · Cited by 1,148 · cited 2×
“(1994), have been widely used in such investigations because of increased sensitivity to spatially extended signals, compared to voxel-intensity tests (Friston et al., 1996; Poline et al., 1997).”
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Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.060 · Cited by 3,563
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Woo, C.-W., Krishnan, A., & Wager, T. D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.058 · Cited by 1,253
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Taubert, M., Draganski, B., Anwander, A., Müller, K., Horstmann, A., Villringer, A., & Ragert, P. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2567-10.2010 · Cited by 514
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Ruscheweyh, R., Willemer, C., Krüger, K., Duning, T., Warnecke, T., Sommer, J., Völker, K., Ho, H. V., Mooren, F., Knecht, S., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.08.001 · Cited by 499
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Sämann, P. G., Wehrle, R., Hoehn, D., Spoormaker, V. I., Peters, H., Tully, C., Holsboer, F., & Czisch, M. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq295 · Cited by 399
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Worsley, K. J., Taylor, J. E., Tomaiuolo, F., & Lerch, J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.026 · Cited by 370
Self-citationNho, K., Kueider‐Paisley, A., MahmoudianDehkordi, S., Arnold, M., Risacher, S. L., Louie, G., Blach, C., Baillie, R., Han, X., Kastenmüller, G., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.08.012 · Cited by 343
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Seminowicz, D. A., Shpaner, M., Keaser, M. L., Krauthamer, G. M., Mantegna, J., Dumas, J. A., Newhouse, P. A., Filippi, C. G., Keefe, F. J., & Naylor, M. R. (2013) · The Journal of Pain · doi:10.1016/j.jpain.2013.07.020 · Cited by 305
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Tomoda, A., Polcari, A., Anderson, C. M., & Teicher, M. H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0052528 · Cited by 190
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Tan, G. C. Y., Doke, T. F., Ashburner, J., Wood, N. W., & Frackowiak, R. S. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.018 · Cited by 116
Schulz, K. P., Fan, J., Bédard, A.-C. V., Clerkin, S. M., Ivanov, I., Tang, C. Y., Halperin, J. M., & Newcorn, J. H. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.2053 · Cited by 114
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Lim, L., Marquand, A., Cubillo, A. A., Smith, A. B., Chantiluke, K., Simmons, A., Mehta, M., & Rubia, K. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063660 · Cited by 101
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Kastman, E. K., Willette, A. A., Coe, C. L., Bendlin, B. B., Kosmatka, K. J., McLaren, D. G., Xu, G., Canu, E., Field, A. S., Alexander, A. L., et al. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0835-10.2010 · Cited by 85
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Metadata
- Authors
- Hayasaka, S., Phan, K. L., Liberzon, I., Worsley, K. J., & Nichols, T. E.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2004-06
- Volume
- 22
- Issue
- 2
- Pages
- 676-687
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1988193785
- Cited by
- 661
- References
- 5
- FWCI
- 3.36
- Type
- journal article
- Language
- en
- Open access
- closed
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