Event-related fMRI studies of episodic encoding and retrieval: Meta-analyses using activation likelihood estimation

2009 ◽  
Vol 47 (8-9) ◽  
pp. 1765-1779 ◽  
Author(s):  
Julia Spaniol ◽  
Patrick S.R. Davidson ◽  
Alice S.N. Kim ◽  
Hua Han ◽  
Morris Moscovitch ◽  
...  
Keyword(s):  
Likelihood Estimation ◽  
Activation Likelihood Estimation ◽  
Episodic Encoding ◽  
Meta Analyses ◽  
Encoding And Retrieval

scholarly journals The influence of study characteristics on coordinate-based fMRI meta-analyses

2017 ◽  
Author(s):  
Han Bossier ◽  
Ruth Seurinck ◽  
Simone Kühn ◽  
Tobias Banaschewski ◽  
Gareth J. Barker ◽  
...  
Keyword(s):  
Random Effects ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Group Analysis ◽  
Likelihood Estimation ◽  
Ordinary Least Squares ◽  
Mixed Effects ◽  
Mixed Effects Models ◽  
Activation Likelihood Estimation ◽  
Meta Analyses

AbstractGiven the increasing amount of neuroimaging studies, there is a growing need to summarize published results. Coordinate-based meta-analyses use the locations of statistically significant local maxima with possibly the associated effect sizes to aggregate studies. In this paper, we investigate the influence of key characteristics of a coordinate-based meta-analysis on (1) the balance between false and true positives and (2) the reliability of the outcome from a coordinate-based meta-analysis. More particularly, we consider the influence of the chosen group level model at the study level (fixed effects, ordinary least squares or mixed effects models), the type of coordinate-based meta-analysis (Activation Likelihood Estimation, fixed effects and random effects meta-analysis) and the amount of studies included in the analysis (10, 20 or 35). To do this, we apply a resampling scheme on a large dataset (N = 1400) to create a test condition and compare this with an independent evaluation condition. The test condition corresponds to subsampling participants into studies and combine these using meta-analyses. The evaluation condition corresponds to a high-powered group analysis. We observe the best performance when using mixed effects models in individual studies combined with a random effects meta-analysis. This effect increases with the number of studies included in the meta-analysis. We also show that the popular Activation Likelihood Estimation procedure is a valid alternative, though the results depend on the chosen threshold for significance. Furthermore, this method requires at least 20 to 35 studies. Finally, we discuss the differences, interpretations and limitations of our results.

scholarly journals Assessing robustness against potential publication bias in Activation Likelihood Estimation (ALE) meta-analyses for fMRI

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0208177 ◽  
Author(s):  
Freya Acar ◽  
Ruth Seurinck ◽  
Simon B. Eickhoff ◽  
Beatrijs Moerkerke
Keyword(s):  
Publication Bias ◽  
Likelihood Estimation ◽  
Activation Likelihood Estimation ◽  
Meta Analyses

scholarly journals Action Concepts in the Brain: An Activation Likelihood Estimation Meta-analysis

2013 ◽  
Vol 25 (8) ◽  
pp. 1191-1205 ◽  
Author(s):  
Christine E. Watson ◽  
Eileen R. Cardillo ◽  
Geena R. Ianni ◽  
Anjan Chatterjee
Keyword(s):  
Semantic Memory ◽  
Visual Motion ◽  
Likelihood Estimation ◽  
Brain Regions ◽  
Activation Likelihood Estimation ◽  
Neural Basis ◽  
Action Execution ◽  
Motor Systems ◽  
Meta Analyses ◽  
The Brain

Many recent neuroimaging studies have investigated the representation of semantic memory for actions in the brain. We used activation likelihood estimation (ALE) meta-analyses to answer two outstanding questions about the neural basis of action concepts. First, on an “embodied” view of semantic memory, evidence to date is unclear regarding whether visual motion or motor systems are more consistently engaged by action concepts. Second, few studies have directly investigated the possibility that action concepts accessed verbally or nonverbally recruit different areas of the brain. Because our meta-analyses did not include studies requiring the perception of dynamic depictions of actions or action execution, we were able to determine whether conceptual processing alone recruits visual motion and motor systems. Significant concordance in brain regions within or adjacent to visual motion areas emerged in all meta-analyses. By contrast, we did not observe significant concordance in motor or premotor cortices in any analysis. Neural differences between action images and action verbs followed a gradient of abstraction among representations derived from visual motion information in the left lateral temporal and occipital cortex. The consistent involvement of visual motion but not motor brain regions in representing action concepts may reflect differences in the variability of experience across individuals with perceiving versus performing actions.

scholarly journals Minimizing within-experiment and within-group effects in activation likelihood estimation meta-analyses

2011 ◽  
Vol 33 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Peter E. Turkeltaub ◽  
Simon B. Eickhoff ◽  
Angela R. Laird ◽  
Mick Fox ◽  
Martin Wiener ◽  
...  
Keyword(s):  
Likelihood Estimation ◽  
Activation Likelihood Estimation ◽  
Meta Analyses ◽  
Group Effects

scholarly journals What are neuroimaging meta-analytic procedures?

2013 ◽  
Vol 22 (2) ◽  
pp. 121-123 ◽  
Author(s):  
S. Cortese ◽  
F.X. Castellanos ◽  
S.B. Eickhoff
Keyword(s):  
Likelihood Estimation ◽  
Activation Likelihood Estimation ◽  
Ale Methods ◽  
The Individual ◽  
Meta Analyses

Activation likelihood estimation (ALE) meta-analyses allow investigators to integrate the results of multiple neuroimaging studies, potentially yielding novel results that may not have been evident in the individual studies. Here, we provide a brief, introductory description of ALE methods for readers without extensive expertise in neuroimaging.

Sign in / Sign up

Export Citation Format

Share Document