Neural networks involved in adolescent reward processing: An activation likelihood estimation meta-analysis of functional neuroimaging studies

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.

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Food cue recruits increased reward processing and decreased inhibitory control processing in the obese/overweight: An activation likelihood estimation meta-analysis of fMRI studies

Obesity Research & Clinical Practice ◽

10.1016/j.orcp.2020.02.004 ◽

2020 ◽

Vol 14 (2) ◽

pp. 127-135

Author(s):

Xia Meng ◽

Duo Huang ◽

Hua Ao ◽

Xinyu Wang ◽

Xiao Gao

Keyword(s):

Inhibitory Control ◽

Meta Analysis ◽

Likelihood Estimation ◽

Reward Processing ◽

Activation Likelihood Estimation

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

PLoS ONE ◽

10.1371/journal.pone.0106735 ◽

2014 ◽

Vol 9 (9) ◽

pp. e106735 ◽

Cited By ~ 13

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

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Brain Responses to High-Calorie Visual Food Cues in Individuals with Normal-Weight or Obesity: An Activation Likelihood Estimation Meta-Analysis

Brain Sciences ◽

10.3390/brainsci11121587 ◽

2021 ◽

Vol 11 (12) ◽

pp. 1587

Author(s):

Yingkai Yang ◽

Qian Wu ◽

Filip Morys

Keyword(s):

Weight Gain ◽

Meta Analysis ◽

Likelihood Estimation ◽

Neural Mechanism ◽

Normal Weight ◽

Reward Processing ◽

Activation Likelihood Estimation ◽

Food Cues ◽

Middle Occipital Gyrus ◽

High Calorie

Overconsumption of high-calorie or unhealthy foods commonly leads to weight gain. Understanding people’s neural responses to high-calorie food cues might help to develop better interventions for preventing or reducing overeating and weight gain. In this review, we conducted a coordinate-based meta-analysis of functional magnetic resonance imaging studies of viewing high-calorie food cues in both normal-weight people and people with obesity. Electronic databases were searched for relevant articles, retrieving 59 eligible studies containing 2410 unique participants. The results of an activation likelihood estimation indicate large clusters in a range of structures, including the orbitofrontal cortex (OFC), amygdala, insula/frontal operculum, culmen, as well as the middle occipital gyrus, lingual gyrus, and fusiform gyrus. Conjunction analysis suggested that both normal-weight people and people with obesity activated OFC, supporting that the two groups share common neural substrates of reward processing when viewing high-calorie food cues. The contrast analyses did not show significant activations when comparing obesity with normal-weight. Together, these results provide new important evidence for the neural mechanism underlying high-calorie food cues processing, and new insights into common and distinct brain activations of viewing high-calorie food cues between people with obesity and normal-weight people.

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

Journal of Cognitive Neuroscience ◽

10.1162/jocn_a_01661 ◽

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.

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

10.31234/osf.io/y3n4a ◽

2020 ◽

Cited By ~ 1

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.

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