scholarly journals Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: A random-effects approach based on empirical estimates of spatial uncertainty

2009 ◽  
Vol 30 (9) ◽  
pp. 2907-2926 ◽  
Author(s):  
Simon B. Eickhoff ◽  
Angela R. Laird ◽  
Christian Grefkes ◽  
Ling E. Wang ◽  
Karl Zilles ◽  
...  
Keyword(s):  
Random Effects ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Spatial Uncertainty ◽  
Activation Likelihood Estimation ◽  
Empirical Estimates ◽  
Neuroimaging Data

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 Coordinate Based Meta-Analysis of Functional Neuroimaging Data Using Activation Likelihood Estimation; Full Width Half Max and Group Comparisons

PLoS ONE ◽  
2014 ◽  
Vol 9 (9) ◽  
pp. e106735 ◽  
Author(s):  
Christopher R. Tench ◽  
Radu Tanasescu ◽  
Dorothee P. Auer ◽  
William J. Cottam ◽  
Cris S. Constantinescu
Keyword(s):  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Full Width ◽  
Activation Likelihood Estimation ◽  
Neuroimaging Data ◽  
Group Comparisons

scholarly journals Grey matter abnormalities in Tourette syndrome: an activation likelihood estimation meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fang Wen ◽  
Junjuan Yan ◽  
Liping Yu ◽  
Fang Wang ◽  
Jingran Liu ◽  
...  
Keyword(s):  
Tourette Syndrome ◽  
Grey Matter ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Anterior Cingulate ◽  
Precentral Gyrus ◽  
Healthy Controls ◽  
Activation Likelihood Estimation ◽  
Lentiform Nucleus ◽  
Postcentral Gyrus

Abstract Background Tourette syndrome (TS) is a neurodevelopmental disorder defined by the continual presence of primary motor and vocal tics. Grey matter abnormalities have been identified in numerous studies of TS, but conflicting results have been reported. This study was an unbiased statistical meta-analysis of published neuroimaging studies of TS structures. Methods A voxel quantitative meta-analysis technique called activation likelihood estimation (ALE) was used. The meta-analysis included six neuroimaging studies involving 247 TS patients and 236 healthy controls. A statistical threshold of p < 0.05 was established based on the false discovery rate and a cluster extent threshold of 50 voxels. Results We found that grey matter volumes were significantly increased in the bilateral thalamus, right hypothalamus, right precentral gyrus, left postcentral gyrus, left inferior parietal lobule, right lentiform nucleus, and left insula of TS patients compared to those of healthy controls. In contrast, grey matter volumes were significantly decreased in the bilateral postcentral gyrus, bilateral anterior cingulate, bilateral insula, left posterior cingulate and left postcentral gyrus of TS patients compared to those of healthy controls. Conclusions Our present meta-analysis primarily revealed significant increases in grey matter volumes in the thalamus and lentiform nucleus, and decreased grey matter volumes in the anterior cingulate gyrus, of TS patients compared to those in healthy controls. Most of these identified regions are associated with cortico-striato-thalamo-cortical circuits. Further studies with larger sample sizes are needed to confirm these changes in grey matter volumes in TS patients.

Sign in / Sign up

Export Citation Format

Share Document