Executive functioning-related brain abnormalities associated with the genetic liability for schizophrenia: an activation likelihood estimation meta-analysis

2010 ◽  
Vol 41 (6) ◽  
pp. 1239-1252 ◽  
Author(s):  
V. M. Goghari
Keyword(s):  
Functional Neuroimaging ◽  
Meta Analysis ◽  
A Priori ◽  
Likelihood Estimation ◽  
Cortical Activation ◽  
Frontal Region ◽  
Neurocognitive Deficits ◽  
Functional Impairments ◽  
Activation Likelihood Estimation ◽  
Executive Processing

BackgroundRelatives of schizophrenia patients demonstrate abnormalities in prefrontal cortical activation during executive processing as measured by functional neuroimaging, albeit not consistently. A meta-analysis was conducted to determine whether reliable patterns of brain hypo- and hyperactivity, especially in the middle frontal region, were present in the relatives of patients.MethodSeventeen studies, containing 18 samples of relatives and controls, were included in this meta-analysis. Studies were included if relatives of schizophrenia patients were compared to controls, an executive processing task was used, and standard space coordinates were reported for the functional activations. Activation likelihood estimation (ALE) was implemented to find convergence across functional neuroimaging experiment coordinates. A separate analysis was conducted to assess the potential impact of a priori hypothesis testing used in region-of-interest (ROI) approaches on the meta-analysis results.ResultsRelatives demonstrated hypo- and hyperactivity in statistically overlapping right middle frontal regions [Brodmann area (BA) 9/10]. Use of an ROI analysis that a priori focused on prefrontal regions resulted in more findings of reduced activity in the middle frontal region.ConclusionsThe cortical regions identified by this meta-analysis could potentially serve as intermediate biological markers in the search for candidate genes for schizophrenia. As neurocognitive deficits are related to functional impairments in patients, a better understanding of neural and genetic vulnerabilities would be beneficial in our efforts to remediate these important deficits.

Hypnosis and pain perception: An Activation Likelihood Estimation (ALE) meta-analysis of functional neuroimaging studies

2015 ◽  
Vol 109 (4-6) ◽  
pp. 165-172 ◽  
Author(s):  
Antonio Del Casale ◽  
Stefano Ferracuti ◽  
Chiara Rapinesi ◽  
Pietro De Rossi ◽  
Gloria Angeletti ◽  
...  
Keyword(s):  
Pain Perception ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Activation Likelihood Estimation

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 Error in the Superior Temporal Gyrus? A Systematic Review and Activation Likelihood Estimation Meta-Analysis of Speech Production Studies

2020 ◽  
pp. 1-23
Author(s):  
Sophie Meekings ◽  
Sophie K. Scott
Keyword(s):  
Systematic Review ◽  
Error Correction ◽  
Speech Production ◽  
Auditory Feedback ◽  
Functional Neuroimaging ◽  
Meta Analysis ◽  
Likelihood Estimation ◽  
Superior Temporal Gyrus ◽  
Activation Likelihood Estimation ◽  
Production Studies

Evidence for perceptual processing in models of speech production is often drawn from investigations in which the sound of a talker's voice is altered in real time to induce “errors.” Methods of acoustic manipulation vary but are assumed to engage the same neural network and psychological processes. This article aims to review fMRI and PET studies of altered auditory feedback and assess the strength of the evidence these studies provide for a speech error correction mechanism. Studies included were functional neuroimaging studies of speech production in neurotypical adult humans, using natural speech errors or one of three predefined speech manipulation techniques (frequency altered feedback, delayed auditory feedback, and masked auditory feedback). Seventeen studies met the inclusion criteria. In a systematic review, we evaluated whether each study (1) used an ecologically valid speech production task, (2) controlled for auditory activation caused by hearing the perturbation, (3) statistically controlled for multiple comparisons, and (4) measured behavioral compensation correlating with perturbation. None of the studies met all four criteria. We then conducted an activation likelihood estimation meta-analysis of brain coordinates from 16 studies that reported brain responses to manipulated over unmanipulated speech feedback, using the GingerALE toolbox. These foci clustered in bilateral superior temporal gyri, anterior to cortical fields typically linked to error correction. Within the limits of our analysis, we conclude that existing neuroimaging evidence is insufficient to determine whether error monitoring occurs in the posterior superior temporal gyrus regions proposed by models of speech production.

scholarly journals Structural and functional neuroimaging of late-life depression: a coordinate-based meta-analysis

2020 ◽  
Author(s):  
Amin Saberi ◽  
Esmaeil Mohammadi ◽  
Mojtaba Zarei ◽  
Simon Eickhoff ◽  
Masoud Tahmasian
Keyword(s):  
Functional Neuroimaging ◽  
Age Of Onset ◽  
Meta Analysis ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Late Life ◽  
Reproducible Research ◽  
Healthy Controls ◽  
Activation Likelihood Estimation ◽  
Late Life Depression

Several neuroimaging studies have investigated localized aberrations in brain structure, function or connectivity in late-life depression, but the ensuing results are equivocal and often conflicting. Here, we provide a quantitative consolidation of neuroimaging in late-life depression using coordinate-based meta-analysis by searching multiple databases and tracing the relevant references up to March 2020. Our search revealed 3252 unique records, among which we identified 32 eligible whole-brain neuroimaging publications comparing 674 late-life depression patients with 568 healthy controls. The peak coordinates of group comparisons between patients and controls were extracted and then analyzed using activation likelihood estimation method. Our sufficiently powered analysis on all the experiments, and more homogenous subsections of the data (in-/decreases, experiments using functional imaging) revealed no significant convergent regional abnormality in late-life depression. This inconsistency might be due to experimental (e.g., choice of tasks, image modalities) and analytic flexibility (e.g., preprocessing and analytic parameters), distributed patterns of neural abnormalities, and heterogeneity of clinical populations (e.g., severity of late-life depression, age of onset). Our findings highlight the need for more reproducible research by using pre-registered and standardized protocols on more homogenous populations to identify potential consistent brain abnormalities in late-life depression.

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.

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