Meta-Analysis of Gray Matter Anomalies in Schizophrenia: Application of Anatomic Likelihood Estimation and Network Analysis

Over the years, studies have demonstrated morphological changes in the brain of fibromyalgia (FMS). We aimed to conduct a coordinate-based meta-analytic research through systemic review on voxel-based morphometry (VBM) imaging results to identify consistent gray matter (GM) difference between FMS patients and healthy subjects. We performed a comprehensive literature search in PubMed (January 2000–December 2015) and included six VBM publication on FMS. Stereotactic data were extracted from 180 patients of FMS and 123 healthy controls. By means of activation likelihood estimation (ALE) technique, regional GM reduction in left medial prefrontal cortex and right dorsal posterior cingulate cortex was identified. Both regions are within the default mode network. In conclusion, the gray matter deficit is related to the both affective and nonaffective components of pain processing. This result also provided the neuroanatomical correlates for emotional and cognitive symptoms in FMS.

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Gray matter atrophy in narcolepsy: An activation likelihood estimation meta-analysis

Neuroscience & Biobehavioral Reviews ◽

10.1016/j.neubiorev.2015.03.009 ◽

2015 ◽

Vol 59 ◽

pp. 53-63 ◽

Cited By ~ 12

Author(s):

Hsu-Huei Weng ◽

Chih-Feng Chen ◽

Yuan-Hsiung Tsai ◽

Chih-Ying Wu ◽

Meng Lee ◽

...

Keyword(s):

Gray Matter ◽

Meta Analysis ◽

Likelihood Estimation ◽

Activation Likelihood Estimation ◽

Gray Matter Atrophy

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Voxelwise meta-analysis of gray matter anomalies in Parkinson variant of multiple system atrophy and Parkinson’s disease using anatomic likelihood estimation

Neuroscience Letters ◽

10.1016/j.neulet.2014.12.007 ◽

2015 ◽

Vol 587 ◽

pp. 79-86 ◽

Cited By ~ 30

Author(s):

Na Shao ◽

Jing Yang ◽

Huifang Shang

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Multiple System Atrophy ◽

Gray Matter ◽

Meta Analysis ◽

Likelihood Estimation

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Neural network of primary focal dystonia by an anatomic likelihood estimation meta-analysis of gray matter abnormalities

Journal of the Neurological Sciences ◽

10.1016/j.jns.2012.01.032 ◽

2012 ◽

Vol 316 (1-2) ◽

pp. 51-55 ◽

Cited By ~ 16

Author(s):

ZhenZhen Zheng ◽

PingLei Pan ◽

Wei Wang ◽

HuiFang Shang

Keyword(s):

Neural Network ◽

Gray Matter ◽

Meta Analysis ◽

Likelihood Estimation ◽

Focal Dystonia

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Voxelwise Meta-Analysis of Gray Matter Abnormalities in Mild Cognitive Impairment and Subjective Cognitive Decline Using Activation Likelihood Estimation

Journal of Alzheimer s Disease ◽

10.3233/jad-200659 ◽

2020 ◽

Vol 77 (4) ◽

pp. 1495-1512

Author(s):

Shanshan Chen ◽

Wenwen Xu ◽

Chen Xue ◽

Guanjie Hu ◽

Wenying Ma ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Cognitive Decline ◽

Gray Matter ◽

Meta Analysis ◽

Likelihood Estimation ◽

Subjective Cognitive Decline ◽

Activation Likelihood Estimation ◽

Amnestic Mci ◽

The Right

Background: Voxel-based morphometry studies have not yielded consistent results among patients with mild cognitive impairment (MCI) and subjective cognitive decline (SCD). Objective: Therefore, we aimed to conduct a meta-analysis of gray matter (GM) abnormalities acquired from these studies to determine their respective neuroanatomical changes. Methods: We systematically searched for voxel-based whole-brain morphometry studies that compared MCI or SCD subjects with healthy controls in PubMed, Web of Science, and EMBASE databases. We used the coordinate-based method of activation likelihood estimation to determine GM changes in SCD, MCI, and MCI sub-groups (amnestic MCI and non-amnestic MCI). Results: A total of 45 studies were included in our meta-analysis. In the MCI group, we found structural atrophy of the bilateral hippocampus, parahippocampal gyrus (PHG), amygdala, right lateral globus pallidus, right insula, and left middle temporal gyrus. The aMCI group exhibited GM atrophy in the bilateral hippocampus, PHG, and amygdala. The naMCI group presented with structural atrophy in the right putamen, right insula, right precentral gyrus, left medial/superior frontal gyrus, and left anterior cingulate. The right lingual gyrus, right cuneus, and left medial frontal gyrus were atrophic GM regions in the SCD group. Conclusion: Our meta-analysis identified unique patterns of neuroanatomical alternations in both the MCI and SCD group. Structural changes in SCD patients provide new evidence for the notion that subtle impairment of visual function, perception, and cognition may be related to early signs of cognitive impairment. In addition, our findings provide a foundation for future targeted interventions at different stages of preclinical Alzheimer’s disease.

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Structural gray matter differences in Problematic Usage of the Internet: a systematic review and meta-analysis

Molecular Psychiatry ◽

10.1038/s41380-021-01315-7 ◽

2021 ◽

Author(s):

Jeremy E. Solly ◽

Roxanne W. Hook ◽

Jon E. Grant ◽

Samuele Cortese ◽

Samuel R. Chamberlain

Keyword(s):

Anterior Cingulate Cortex ◽

Gray Matter ◽

Meta Analysis ◽

Likelihood Estimation ◽

Cingulate Cortex ◽

Reward Processing ◽

Anterior Cingulate ◽

The Internet ◽

Cross Sectional ◽

Spatial Convergence

AbstractProblematic Usage of the Internet (PUI) has been linked to diverse structural gray matter changes in individual data studies. However, no quantitative synthesis across studies has been conducted. We aimed to identify gray matter regions showing significant spatial convergence across neuroimaging studies in PUI. We searched PubMed and PsycINFO up to 10/03/2021 and included original, cross-sectional comparative studies that examined structural gray matter imaging in PUI versus control groups; reported a whole-brain analysis; and provided peak coordinates for gray matter differences. From a total of 624 potentially relevant studies, 15 (including 355 individuals with PUI and 363 controls) were included in a meta-analysis of voxel-based morphometry studies. Anatomical likelihood estimation (ALE) meta-analysis was performed using extracted coordinates and identified significant spatial convergence in the medial/superior frontal gyri, the left anterior cingulate cortex/cingulate gyrus, and the left middle frontal/precentral gyri. Datasets contributing to these findings all indicated reduced gray matter in cases compared to controls. In conclusion, voxel-based morphometric studies indicate replicable gray matter reductions in the dorsolateral prefrontal cortex and anterior cingulate cortex in PUI, regions implicated in reward processing and top-down inhibitory control. Further studies are required to understand the nature of gray matter differences across PUI behaviors, as well as the contribution of particular mental health disorders, and the influence of variation in study and sample characteristics.

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