ALE meta-analysis: controlling the false discovery rate and performing statistical contrasts
Open accessAbstract
Activation likelihood estimation (ALE) has greatly advanced voxel‐based meta‐analysis research in the field of functional neuroimaging. We present two improvements to the ALE method. First, we evaluate the feasibility of two techniques for correcting for multiple comparisons: the single threshold test and a procedure that controls the false discovery rate (FDR). To test these techniques, foci from four different topics within the literature were analyzed: overt speech in stuttering subjects, the color‐word Stroop task, picture‐naming tasks, and painful stimulation. In addition, the performance of each thresholding method was tested on randomly generated foci. We found that the FDR method more effectively controls the rate of false positives in meta‐analyses of small or large numbers of foci. Second, we propose a technique for making statistical comparisons of ALE meta‐analyses and investigate its efficacy on different groups of foci divided by task or response type and random groups of similarly obtained foci. We then give an example of how comparisons of this sort may lead to advanced designs in future meta‐analytic research. Hum Brain Mapp 25:155–164, 2005. © 2005 Wiley‐Liss, Inc.
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Brem et al. (2012) and Menzies et al. (2008) used the false-discovery rate correction for multiple comparisons.
“Additionally, Brem et al. (2012) and Menzies et al. (2008) used the false-discovery rate correction for multiple comparisons (Laird et al., 2005)”
From Inhibitory control in obsessive compulsive disorder: a systematic review and activation likelihood estimation meta-analysis of functional magnetic resonance imaging studies (2022) · cites this paper as Laird et al., 2005
The procedure for contrasting ALE maps effectively balances inference on reliable areas of activation without generating a bias toward false positives.
“This procedure should effectively balance inference on reliable areas of activation without generating a bias toward false positives (Laird et al., 2005;Eickhoff et al., 2011).”
From Informatic parcellation of the network involved in the computation of subjective value (2014) · cites this paper as Laird et al., 2005
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798 · see citing works
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565 · see citing works
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 · see citing works
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923 · see citing works
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20131 · Cited by 3,560 · see citing works
Self-citationAutomatic 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 1× · see citing works
“These coordinates are generally published relative to Talairach [Talairach and Tournoux, 1988] or Montreal Neurological Institute (MNI) space [Collins et al., 1994] and must be spatially renormalized to a single template.”
BackgroundMeta-analysis of the functional neuroanatomy of single-word reading: method and validation
Turkeltaub, P. E., Eden, G. F., Jones, K. M., & Zeffiro, T. A. (2002) · NeuroImage · doi:10.1006/nimg.2002.1131 · Cited by 1,604 · see citing works
Self-citationPermutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses
Niknian, M., & Good, P. (1995) · Technometrics · doi:10.2307/1269919 · Cited by 1,406 · see citing works
Nonparametric Analysis of Statistic Images from Functional Mapping Experiments
Holmes, A., Blair, R. C., Watson, J., & Ford, I. (1996) · Journal of Cerebral Blood Flow and Metabolism · doi:10.1097/00004647-199601000-00002 · Cited by 948 · see citing works
The Trouble with Cognitive Subtraction
Friston, K. J., Price, C. J., Fletcher, P. C., Moore, C. J., Frackowiak, R. S. J., & Dolan, R. J. (1996) · NeuroImage · doi:10.1006/nimg.1996.0033 · Cited by 531 · see citing works
Self-citationStuttered and fluent speech production: An ALE meta‐analysis of functional neuroimaging studies
Brown, S., Ingham, R. J., Ingham, J. C., Laird, A. R., & Fox, P. T. (2005) · Human Brain Mapping · doi:10.1002/hbm.20140 · Cited by 449 · see citing works
Self-citationGood, P. (1994) · Springer series in statistics · doi:10.1007/978-1-4757-2346-5 · Cited by 391 · see citing works
A comparison of label‐based review and ALE meta‐analysis in the Stroop task
Laird, A. R., McMillan, K. M., Lancaster, J. L., Kochunov, P. V., Turkeltaub, P. E., Pardo, J. V., & Fox, P. T. (2005) · Human Brain Mapping · doi:10.1002/hbm.20129 · Cited by 345 · see citing works
Self-citationCerebellum and auditory function: An ALE meta‐analysis of functional neuroimaging studies
Petacchi, A., Laird, A. R., Fox, P. T., & Bower, J. M. (2005) · Human Brain Mapping · doi:10.1002/hbm.20137 · Cited by 245 · see citing works
Self-citationRetinotopic organization of early visual spatial attention effects as revealed by PET and ERPs
Woldorff, M. G., Fox, P. T., Matzke, M., Lancaster, J. L., Veeraswamy, S., Zamarripa, F., Seabolt, M., Glass, T. G., Gao, J., Martin, C. C., et al. (1997) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1997)5:4 · Cited by 195 · see citing works
Self-citationMeta‐analyses of object naming: Effect of baseline
Price, C. J., Devlin, J. T., Moore, C. J., Morton, C., & Laird, A. R. (2005) · Human Brain Mapping · doi:10.1002/hbm.20132 · Cited by 191 · see citing works
Self-citationAn Optimized Individual Target Brain in the Talairach Coordinate System
Kochunov, P., Lancaster, J., Thompson, P., Toga, A. W., Brewer, P., Hardies, J., & Fox, P. (2002) · NeuroImage · doi:10.1016/s1053-8119(02)91084-0 · Cited by 158 · see citing works
Self-citationFunctional heterogeneity within Broca's area during verbal working memory
Chein, J. M., Fissell, K., Jacobs, S., & Fiez, J. A. (2002) · Physiology & Behavior · doi:10.1016/s0031-9384(02)00899-5 · Cited by 144 · see citing works
Beyond the single study: function/location metanalysis in cognitive neuroimaging
Fox, P. T., Parsons, L. M., & Lancaster, J. L. (1998) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(98)80138-4 · Cited by 136 · see citing works
Self-citationBrain activity associated with painfully hot stimuli applied to the upper limb: A meta‐analysis
Farrell, M. J., Laird, A. R., & Egan, G. F. (2005) · Human Brain Mapping · doi:10.1002/hbm.20125 · Cited by 124 · see citing works
Self-citationCharacterizing instantaneous phase relationships in whole‐brain fMRI activation data
Laird, A. R., Rogers, B. P., Carew, J. D., et al. (2002) · Human Brain Mapping · doi:10.1002/hbm.10027 · Cited by 38 · see citing works
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- Laird AR, McMillan KM, Lancaster JL, Kochunov P, Turkeltaub PE, Pardo JV, Fox PT (2005): A comparison of label-based review and activation likelihood estimation in the Stroop task. Hum Brain Mapp 25:6 -21.
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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 · see citing works
Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp055 · Cited by 4,060 · see citing works
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20131 · Cited by 3,560 · see citing works
Self-citationEtkin, A., & Wager, T. D. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07030504 · Cited by 3,391 · see citing works
The brain basis of emotion: a meta-analytic review
Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E., & Barrett, L. F. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11000446 · Cited by 2,320 · see citing works
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 · see citing works
Spreng, R. N., Mar, R. A., & Kim, A. S. N. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.21029 · Cited by 2,143 · see citing works
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 · see citing works
Eickhoff, S. B., Laird, A. R., Grefkes, C., Wang, L. E., Zilles, K., & Fox, P. T. (2009) · Human Brain Mapping · doi:10.1002/hbm.20718 · Cited by 1,924 · see citing works
Self-citationNiendam, 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 · see citing works
“We performed a series of coordinate-based meta-analyses of executive functioning using the ALE method (Laird, McMillan, et al., 2005; Turkeltaub, Eden, Jones, & Zeffiro, 2002), in which the voxel-wise correspondence of neuroimaging results is assessed across a large number of studies.”
MethodSelf-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 · see citing works
Self-citationKurth, F., Zilles, K., Fox, P. T., Laird, A. R., & Eickhoff, S. B. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0255-z · Cited by 1,293 · see citing works
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 · see citing works
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Self-citationDecety, J., & Lamm, C. (2007) · The Neuroscientist · doi:10.1177/1073858407304654 · Cited by 1,044 · see citing works
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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 · see citing works
Self-citationNeural network of cognitive emotion regulation—an ALE meta-analysis and MACM analysis
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Mar, R. A. (2011) · Annual Review of Psychology · doi:10.1146/annurev-psych-120709-145406 · Cited by 950 · see citing works
How is our self related to midline regions and the default-mode network?
Qin, P., & Northoff, G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.028 · Cited by 909 · see citing works
Liu, X., Hairston, J., Schrier, M., & Fan, J. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.12.012 · Cited by 916 · see citing works
Cross-validation failure: Small sample sizes lead to large error bars
Varoquaux, G. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.061 · Cited by 897 · see citing works
“However, the success of meta-analysis in fMRI suggests that pooling data can be beneficial, whether it is by assembling a small number of well-matched studies or over a wider coverage of the literature (Laird et al., 2005; Costafreda, 2009).”
BackgroundA meta‐analytic study of changes in brain activation in depression
Fitzgerald, P. B., Laird, A. R., Maller, J., & Daskalakis, Z. J. (2008) · Human Brain Mapping · doi:10.1002/hbm.20426 · Cited by 903 · see citing works
Self-citationFox, K. C. R., Nijeboer, S., Dixon, M. L., Floman, J. L., Ellamil, M., Rumak, S. P., Sedlmeier, P., & Christoff, K. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.03.016 · Cited by 804 · see citing works
Sescousse, G., Caldú, X., Segura, B., & Dreher, J.-C. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.02.002 · Cited by 782 · see citing works
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Clithero, J. A., & Rangel, A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst106 · Cited by 706 · see citing works
Costafreda, S. G., Brammer, M. J., David, A. S., & Fu, C. H. Y. (2008) · Brain Research Reviews · doi:10.1016/j.brainresrev.2007.10.012 · Cited by 772 · see citing works
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 · see citing works
Eickhoff, S. B., Nichols, T. E., Laird, A. R., Hoffstaedter, F., Amunts, K., Fox, P. T., Bzdok, D., & Eickhoff, C. R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.072 · Cited by 683 · see citing works
Self-citationThe neural correlates of attention deficit hyperactivity disorder: an ALE meta‐analysis
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Gu, X., Hof, P. R., Friston, K. J., & Fan, J. (2013) · Journal of Comparative Neurology · doi:10.1002/cne.23368 · Cited by 712 · see citing works
Fox, K. C. R., Spreng, R. N., Ellamil, M., Andrews-Hanna, J. R., & Christoff, K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.039 · Cited by 690 · see citing works
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Vytal, K., & Hamann, S. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21366 · Cited by 680 · see citing works
Fox, K. C. R., Dixon, M. L., Nijeboer, S., Girn, M., Floman, J. L., Lifshitz, M., Ellamil, M., Sedlmeier, P., & Christoff, K. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.03.021 · Cited by 656 · see citing works
Jardri, R., Pouchet, A., Pins, D., & Thomas, P. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09101522 · Cited by 651 · see citing works
Swick, D., Ashley, V., & Turken, U. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.070 · Cited by 638 · see citing works
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Schmahmann, J. D. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9142-x · Cited by 583 · see citing works
Schacht, J. P., Anton, R. F., & Myrick, H. (2013) · Addiction Biology · doi:10.1111/j.1369-1600.2012.00464.x · Cited by 583 · see citing works
Anatomy of bipolar disorder and schizophrenia: A meta-analysis
Ellison-Wright, I., & Bullmore, E. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2009.12.022 · Cited by 565 · see citing works
Patel, R., Spreng, R. N., Shin, L. M., & Girard, T. A. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.06.003 · Cited by 546 · see citing works
Reward Processing in Depression: A Conceptual and Meta-Analytic Review Across fMRI and EEG Studies
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Noonan, K. A., Jefferies, E., Visser, M., & Lambon Ralph, M. A. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00442 · Cited by 543 · see citing works
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Gray, J. P., Müller, V. I., Eickhoff, S. B., & Fox, P. T. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.19050560 · Cited by 449 · see citing works
Self-citationMeta-analysis of functional neuroimaging data: current and future directions
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Self-citationMohr, P. N. C., Biele, G., & Heekeren, H. R. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0003-10.2010 · Cited by 411 · see citing works
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Tillisch, K., Mayer, E. A., & Labus, J. S. (2011) · Gastroenterology · doi:10.1053/j.gastro.2010.07.053 · Cited by 412 · see citing works
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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 · see citing works
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Luk, G., Green, D. W., Abutalebi, J., & Grady, C. (2012) · Language and Cognitive Processes · doi:10.1080/01690965.2011.613209 · Cited by 375 · see citing works
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Delaveau, P., Jabourian, M., Lemogne, C., Guionnet, S., Bergouignan, L., & Fossati, P. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2010.09.032 · Cited by 281 · see citing works
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Ellison-Wright, I., Ellison-Wright, Z., & Bullmore, E. (2008) · BMC Psychiatry · doi:10.1186/1471-244x-8-51 · Cited by 269 · see citing works
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Hein, T. C., & Monk, C. S. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12651 · Cited by 257 · see citing works
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Adolfi, F., Couto, B., Richter, F., Decety, J., Lopez, J., Sigman, M., Manes, F., & Ibáñez, A. (2017) · Cortex · doi:10.1016/j.cortex.2016.12.019 · Cited by 238 · see citing works
McDermott, K. B., Szpunar, K. K., & Christ, S. E. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.12.025 · Cited by 253 · see citing works
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Rotge, J.-Y., Guehl, D., Dilharreguy, B., Cuny, E., Tignol, J., Bioulac, B., Allard, M., Burbaud, P., & Aouizerate, B. (2008) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0838 · Cited by 254 · see citing works
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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 · see citing works
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 · see citing works
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Hung, Y., Gaillard, S. L., Yarmak, P., & Arsalidou, M. (2018) · Human Brain Mapping · doi:10.1002/hbm.24232 · Cited by 212 · see citing works
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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 · see citing works
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Hill, A. C., Laird, A. R., & Robinson, J. L. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.06.008 · Cited by 182 · see citing works
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Bzdok, D., Langner, R., Caspers, S., Kurth, F., Habel, U., Zilles, K., Laird, A., & Eickhoff, S. B. (2011) · Brain Structure and Function · doi:10.1007/s00429-010-0287-4 · Cited by 183 · see citing works
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Downar, J., Blumberger, D. M., & Daskalakis, Z. J. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.10.007 · Cited by 166 · see citing works
- Authors
- Laird, A. R., Fox, P. M., Price, C. J., Glahn, D. C., Uecker, A. M., Lancaster, J. L., Turkeltaub, P. E., Kochunov, P., & Fox, P. T.
- Affiliations
- The University of Texas at San Antonio Health Science Center (US)
- UCL Queen Square Institute of Neurology (GB)
- Georgetown University (US)
- ORCID
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2005-04-21
- Volume
- 25
- Issue
- 1
- Pages
- 155-164
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871747
- OpenAlex
- W2060259639
- Cited by
- 868
- References
- 22
- Citations by year
- 2026: 23 · 2025: 25 · 2024: 26 · 2023: 32 · 2022: 45 · 2021: 31 · 2020: 39 · 2019: 44 · 2018: 48 · 2017: 38 · 2016: 62 · 2015: 53 · 2014: 55 · 2013: 58 · 2012: 66
- FWCI
- 8.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Vanderbilt University
- University of Wisconsin-Madison
- Wellcome Trust (051067)
- National Institutes of Health (5r01lm006858-03)
- U.S. National Library of Medicine (LM6858)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- activation likelihood estimation, false discovery rate, multiple testing correction, false positives, stuttering, Stroop task, picture naming, pain
- MeSH terms
- Brain, Brain Mapping, Humans, Mathematical Computing, Pain Measurement, Psychomotor Performance, Stuttering, Meta-Analysis as Topic
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