ALE meta‐analysis: Controlling the false discovery rate and performing statistical contrasts

By Angela R. Laird, Peter T. Fox, Cathy J. Price, David C. Glahn, Angela M. Uecker, Jack L. Lancaster, Peter E. Turkeltaub, Peter V. Kochunov. Human Brain Mapping, 2005

884 citations recorded by the source corpus.

Subfields: Clinical Psychology, Cognitive Neuroscience, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/0be63f9394d6fb5c1d024fa21b33d18f3d105958

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

In Cognitive Neuroscience

In Developmental and Educational Psychology

Citations in the corpus

Are the neural correlates of stopping and not going identical? Quantitative meta-analysis of two response inhibition tasks (2011, methodology): “Therefore, we followed the procedures recommended by Laird et al., which are implemented in GingerALE.”
Predictors of amygdala activation during the processing of emotional stimuli: a meta-analysis of 385 PET and fMRI studies. (2008, methodology): “…rate significance level q=0.05, was performed to reveal areas of significant density of activation foci using the BrainMap tools (www.brainmap.org; Laird et al., 2005b) for conversion of coordinates to the Talairach space (Talairach and Tournoux, 1998), creation of ROI “boxes” and plotting.”
Brain templates and atlases (2012, methodology): “Fox and colleagues developed the BrainMap database for collation of the stereotaxic coordinates of functional activation and the metadata describing the experimental design from 1000s of studies (Fox and Lancaster, 2002; Fox et al., 1998; Laird et al., 2005a).”
Anticipatory affect: neural correlates and consequences for choice (2008, positive): “(iii) Analysis Meta-analyses were conducted with the ALE algorithm implemented with GINGERALE software available from www.brainmap.org (Laird et al. 2005a) ARTICLE IN PRESS 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543…”
Is 2 + 2 = 4? Meta-analyses of brain areas needed for numbers and calculations (2011, methodology): “This methodology was improved to perform multiple comparison controls and allow for contrasts among meta-analysis datasets (Laird et al., 2005).”
ALE meta-analysis of action observation and imitation in the human brain (2010, positive): “Meta-analysis was carried out using the revised version (Eickhoff et al., 2009) of the activation likelihood estimation (ALE) approach for coordinate-based meta-analysis of neuroimaging results (Turkeltaub et al., 2002; Laird et al., 2005a,b).”
Where smart brains are different: A quantitative meta-analysis of functional and structural brain imaging studies on intelligence (2015, methodology): “05, corrected for multiple comparisons with the non-parametric False Discovery Rate (FDR) method recommended by TomNichols (Genovese, Lazar, &Nichols, 2002; Laird et al., 2005), in combination with a cluster-level threshold of p b .”
A meta-analysis of instructed fear studies: Implications for conscious appraisal of threat (2010, methodology): “, 2007) and the ALE (Laird et al., 2005) software packages and has been used by one of us (Etkin and Wager, 2007) in an earlier meta-analysis.”
Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions (2012, methodology): “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.”
Cross‐validation failure: Small sample sizes lead to large error bars (2017, background): “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).”
Identification of Human Gustatory Cortex by Activation Likelihood Estimation (2011, methodology): “Here, we employ a meta-analytic technique to estimate the likelihood of brain activations across multiple taste studies [Eickhoff et al., 2009; Laird et al., 2005; Turkeltaub et al., 2002] and to create a map of activation likelihoods which can be used in the data analyses of future taste studies.”
Functional neuroimaging correlates of finger-tapping task variations: An ALE meta-analysis (2008, methodology): “Statistical significance was assessed using a permutation test with 5000 permutations, corrected for multiple comparisons using the false discovery rate (FDR) (Laird et al., 2005).”
Semantic Processing in the Anterior Temporal Lobes: A Meta-analysis of the Functional Neuroimaging Literature (2010, methodology): “In the next analysis, we examined whether the distributions of the peak activations were influenced by stimulus type using ALE (Laird et al., 2005).”