The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
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
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
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
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
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×
“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
Self-citationPermutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses
Niknian, M., & Good, P. (1995) · Technometrics · doi:10.2307/1269919 · Cited by 1,463
Nonparametric Analysis of Statistic Images from Functional Mapping Experiments
Holmes, A. P., Blair, R. C., Watson, J. D. G., & Ford, I. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199601000-00002 · Cited by 894
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
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
Self-citationGood, P. (1994) · Springer series in statistics · doi:10.1007/978-1-4757-2346-5 · Cited by 391
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., Turkeltaub, P. E., Pardo, J. V., & Fox, P. T. (2005) · Human Brain Mapping · doi:10.1002/hbm.20129 · Cited by 355
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
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
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
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
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
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
Self-citationSearching for activations that generalize over tasks
Shulman, G. L., Corbetta, M., Fiez, J. A., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1997)5:4 · Cited by 85
Characterizing 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
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- BrettM(1999): The MNI brain and the Talairach atlas Cambridge Imagers. Online athttp://www.mrc‐cbu.cam.ac.uk/Imaging/mnispace.html.
- 10.1006/nimg.2002.1084 · DOI
Cited by
Sorted by citations
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
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
Self-citationEtkin, A., & Wager, T. D. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07030504 · Cited by 3,391
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
Metadata
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
