Gray Matter Atrophy within the Default Mode Network of Fibromyalgia: A Meta-Analysis of Voxel-Based Morphometry Studies

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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Transdiagnostic and disease-specific abnormalities in the default-mode network hubs in psychiatric disorders: A meta-analysis of resting-state functional imaging studies

European Psychiatry ◽

10.1192/j.eurpsy.2020.57 ◽

2020 ◽

Vol 63 (1) ◽

Cited By ~ 1

Author(s):

Gaelle E. Doucet ◽

Delfina Janiri ◽

Rebecca Howard ◽

Madeline O’Brien ◽

Jessica R. Andrews-Hanna ◽

...

Keyword(s):

Anxiety Disorders ◽

Psychiatric Disorders ◽

Default Mode Network ◽

Resting State ◽

Meta Analysis ◽

Functional Integration ◽

Likelihood Estimation ◽

Default Mode ◽

Mood And Anxiety Disorders ◽

Disease Specific

Abstract Background. The default mode network (DMN) dysfunction has emerged as a consistent biological correlate of multiple psychiatric disorders. Specifically, there is evidence of alterations in DMN cohesiveness in schizophrenia, mood and anxiety disorders. The aim of this study was to synthesize at a fine spatial resolution the intra-network functional connectivity of the DMN in adults diagnosed with schizophrenia, mood and anxiety disorders, capitalizing on powerful meta-analytic tools provided by activation likelihood estimation. Methods. Results from 70 whole-brain resting-state functional magnetic resonance imaging articles published during the last 15 years were included comprising observations from 2,789 patients and 3,002 healthy controls. Results. Specific regional changes in DMN cohesiveness located in the anteromedial and posteromedial cortex emerged as shared and trans-diagnostic brain phenotypes. Disease-specific dysconnectivity was also identified. Unmedicated patients showed more DMN functional alterations, highlighting the importance of interventions targeting the functional integration of the DMN. Conclusion. This study highlights functional alteration in the major hubs of the DMN, suggesting common abnormalities in self-referential mental activity across psychiatric disorders.

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Default mode network and frontolimbic gray matter abnormalities in patients with borderline personality disorder: A voxel-based meta-analysis

Scientific Reports ◽

10.1038/srep34247 ◽

2016 ◽

Vol 6 (1) ◽

Cited By ~ 12

Author(s):

Xun Yang ◽

Liyuan Hu ◽

Jianguang Zeng ◽

Ying Tan ◽

Bochao Cheng

Keyword(s):

Borderline Personality Disorder ◽

Personality Disorder ◽

Gray Matter ◽

Default Mode Network ◽

Meta Analysis ◽

Borderline Personality ◽

Default Mode

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Brain functional connectivity and morphology changes in medication-overuse headache: Clue for dependence-related processes?

Cephalalgia ◽

10.1177/0333102413519514 ◽

2014 ◽

Vol 34 (8) ◽

pp. 605-615 ◽

Cited By ~ 46

Author(s):

S Chanraud ◽

G Di Scala ◽

B Dilharreguy ◽

J Schoenen ◽

M Allard ◽

...

Keyword(s):

Functional Connectivity ◽

Gray Matter ◽

Default Mode Network ◽

Medication Overuse ◽

Medication Overuse Headache ◽

Voxel Based Morphometry ◽

Whole Brain ◽

Default Mode ◽

Brain Functional Connectivity ◽

Gray Matter Volumes

Background Several imaging studies have identified localized anatomical and functional brain changes in medication-overuse headache (MOH). Objective The objective of this article is to evaluate whole-brain functional connectivity at rest together with voxel-based morphometry in MOH patients, in comparison with episodic migraine (EM) patients and healthy controls (HCs). Methods Anatomical MRI and resting-state functional MRI scans were obtained in MOH patients ( n = 17 and 9, respectively), EM patients ( n = 18 and 15, respectively) and HCs ( n = 17 and 17). SPM8 was used to analyze voxel-based morphometry and seed (left precuneus) to voxel connectivity data in the whole brain. Results Functional connectivity at rest was altered in MOH patients. Connectivity was decreased between precuneus and regions of the default-mode network (frontal and parietal cortices), but increased between precuneus and hippocampal/temporal areas. These functional modifications were not accompanied by significant gross morphological changes. Furthermore, connectivity between precuneus and frontal areas in MOH was negatively correlated with migraine duration and positively correlated with self-evaluation of medication dependence. Gray matter volumes of frontal regions, precuneus and hippocampus were also negatively related to migraine duration. Functional connectivity within the default-mode network appeared to predict anxiety scores of MOH patients while gray matter volumes in this network predicted their depression scores. Conclusions Our data suggest that MOH is associated with functional alterations within intrinsic brain networks rather than with macrostructural changes. They also support the view that dependence-related processes might play a prominent role in its development and maintenance.

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Reduced gray matter volume in the orbitofrontal cortex is associated with greater body mass index: a coordinate-based meta-analysis

10.1101/359919 ◽

2018 ◽

Author(s):

Eunice Y. Chen ◽

Susan Murray ◽

Tania Giovannetti ◽

David V. Smith

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Gray Matter ◽

Default Mode Network ◽

Orbitofrontal Cortex ◽

Meta Analysis ◽

Gray Matter Volume ◽

Default Mode ◽

Matter Volume ◽

The Right

AbstractMeta-analyses of neuroimaging studies have not found a clear relationship between the orbitofrontal cortex and obesity, despite animal and human studies suggesting the contrary. Our primary meta-analysis examined what regions are associated with reduced gray matter volume, given increased body mass index. We identified 23 voxel-based morphometry studies examining the association between gray matter volume and body mass index. In a sample of 6,788 participants, we found that greater body mass index is associated with decreased gray matter volume in the right Brodmanns’ area 10 and 11, forming part of the right orbitofrontal cortex (FWE, p=0.05). Use of Brodmanns’ areas 10 and 11 as seeds in a Neurosynth network coactivation and text decoding analysis revealed that these regions are associated with studies of emotional regulation and processing, clinical symptoms and disorder, ‘mentalizing’ and social cognition, and the Default mode network. Our finding uniquely contributes to the literature in showing a relationship between the orbitofrontal cortex and obesity and showing the wide-ranging impact these differences may have on social, mental, and emotional functioning as well as on the Default mode network. Exploratory analyses suggest the need for studies examining the effect of age on these findings.

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Functional parcellation of the default mode network: a large-scale meta-analysis

Scientific Reports ◽

10.1038/s41598-020-72317-8 ◽

2020 ◽

Vol 10 (1) ◽

Cited By ~ 1

Author(s):

Shaoming Wang ◽

Lindsey J. Tepfer ◽

Adrienne A. Taren ◽

David V. Smith

Keyword(s):

Decision Making ◽

Cognitive Processes ◽

Default Mode Network ◽

Large Scale ◽

Functional Organization ◽

Meta Analysis ◽

Posterior Cingulate Cortex ◽

Health Conditions ◽

Treatment Protocols ◽

Default Mode

Abstract The default mode network (DMN) consists of several regions that selectively interact to support distinct domains of cognition. Of the various sites that partake in DMN function, the posterior cingulate cortex (PCC), temporal parietal junction (TPJ), and medial prefrontal cortex (MPFC) are frequently identified as key contributors. Yet, it remains unclear whether these subcomponents of the DMN make unique contributions to specific cognitive processes and health conditions. To address this issue, we applied a meta-analytic parcellation approach used in prior work. This approach used the Neurosynth database and classification methods to quantify the association between PCC, TPJ, and MPFC activation and specific topics related to cognition and health (e.g., decision making and smoking). Our analyses replicated prior observations that the PCC, TPJ, and MPFC collectively support multiple cognitive functions such as decision making, memory, and awareness. To gain insight into the functional organization of each region, we parceled each region based on its coactivation pattern with the rest of the brain. This analysis indicated that each region could be further subdivided into functionally distinct subcomponents. Taken together, we further delineate DMN function by demonstrating the relative strengths of association among subcomponents across a range of cognitive processes and health conditions. A continued attentiveness to the specialization within the DMN allows future work to consider the nuances in sub-regional contributions necessary for healthy cognition, as well as create the potential for more targeted treatment protocols in various health conditions.

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Functional Parcellation of the Default Mode Network: A Large-Scale Meta-Analysis

10.1101/225375 ◽

2017 ◽

Cited By ~ 2

Author(s):

Shaoming Wang ◽

Lindsey J. Tepfer ◽

Adrienne A. Taren ◽

David V. Smith

Keyword(s):

Decision Making ◽

Cognitive Processes ◽

Default Mode Network ◽

Large Scale ◽

Functional Organization ◽

Meta Analysis ◽

Posterior Cingulate Cortex ◽

Health Conditions ◽

Treatment Protocols ◽

Default Mode

AbstractThe default mode network (DMN) consists of several regions that selectively interact to support distinct domains of cognition. Of the various sites that partake in DMN function, the posterior cingulate cortex (PCC), temporal parietal junction (TPJ), and medial prefrontal cortex (MPFC) are frequently identified as key contributors. Yet, it remains unclear whether these subcomponents of the DMN make unique contributions to specific cognitive processes and health conditions. To address this issue, we applied a meta-analytic parcellation approach used in prior work. This approach used the Neurosynth database and classification methods to quantify the association between PCC, TPJ, and MPFC activation and specific topics related to cognition and health (e.g., decision making and smoking). Our analyses replicated prior observations that the PCC, TPJ, and MPFC collectively support multiple cognitive functions such as decision making, memory, and awareness. To gain insight into the functional organization of each region, we parceled each region based on its coactivation pattern with the rest of the brain. This analysis indicated that each region could be further subdivided into functionally distinct subcomponents. Taken together, we further delineate DMN function by demonstrating the relative strengths of association among subcomponents across a range of cognitive processes and health conditions. A continued attentiveness to the specialization within the DMN allows future work to consider the nuances in sub-regional contributions necessary for healthy cognition, as well as create the potential for more targeted treatment protocols in various health conditions.

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Convergent Functional Changes of Default Mode Network in Mild Cognitive Impairment Using Activation Likelihood Estimation

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2021.708687 ◽

2021 ◽

Vol 13 ◽

Author(s):

Qianqian Yuan ◽

Wenzhang Qi ◽

Chen Xue ◽

Honglin Ge ◽

Guanjie Hu ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Frontal Lobe ◽

Default Mode Network ◽

Meta Analysis ◽

Low Frequency ◽

Likelihood Estimation ◽

Frequency Fluctuation ◽

Activation Likelihood Estimation ◽

Default Mode

Background: Mild cognitive impairment (MCI) represents a transitional state between normal aging and dementia disorders, especially Alzheimer's disease (AD). The disruption of the default mode network (DMN) is often considered to be a potential biomarker for the progression from MCI to AD. The purpose of this study was to assess MRI-specific changes of DMN in MCI patients by elucidating the convergence of brain regions with abnormal DMN function.Methods: We systematically searched PubMed, Ovid, and Web of science for relevant articles. We identified neuroimaging studies by using amplitude of low frequency fluctuation /fractional amplitude of low frequency fluctuation (ALFF/fALFF), regional homogeneity (ReHo), and functional connectivity (FC) in MCI patients. Based on the activation likelihood estimation (ALE) algorithm, we carried out connectivity modeling of coordination-based meta-analysis and functional meta-analysis.Results: In total, this meta-analysis includes 39 articles on functional neuroimaging studies. Using computer software analysis, we discovered that DMN changes in patients with MCI mainly occur in bilateral inferior frontal lobe, right medial frontal lobe, left inferior parietal lobe, bilateral precuneus, bilateral temporal lobe, and parahippocampal gyrus (PHG).Conclusions: Herein, we confirmed the presence of DMN-specific damage in MCI, which is helpful in revealing pathology of MCI and further explore mechanisms of conversion from MCI to AD. Therefore, we provide a new specific target and direction for delaying conversion from MCI to AD.

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Disrupting The Resting State: Meta-Analytic Evidence That Mindfulness Training Alters Default Mode Network Connectivity

10.21203/rs.3.rs-1189676/v1 ◽

2022 ◽

Author(s):

Hadley Rahrig ◽

David R. Vago ◽

Matthew Passarelli ◽

Allison Auten ◽

Nicholas A. Lynn ◽

...

Keyword(s):

Default Mode Network ◽

Resting State ◽

Meta Analysis ◽

Network Connectivity ◽

Posterior Cingulate Cortex ◽

Brain Network ◽

Mindfulness Training ◽

Resting State Functional Connectivity ◽

Default Mode ◽

Brain Network Connectivity

Abstract This meta-analysis sought to expand upon neurobiological models of mindfulness through investigation of inherent brain network connectivity outcomes, indexed via resting state functional connectivity (rsFC). We conducted a systematic review and meta-analysis of rsFC as an outcome of mindfulness training (MT) relative to structurally-equivalent programs, with the hypothesis that that MT would increase cross-network connectivity between nodes of the Default Mode Network (DMN), Salience Network (SN), and Frontoparietal Control Network (FPCN) as a mechanism of internally-oriented attentional control. Texts were identified from the databases: MEDLINE/PubMed, ERIC, PSYCINFO, ProQuest, Scopus, and Web of Sciences; and were screened for inclusion based on experimental/quasi-experimental trial design and use of standardized mindfulness-based interventions. RsFC effects were extracted from twelve studies (mindfulness n = 226; control n = 204). Voxel-based meta-analysis revealed significantly greater rsFC (MT > control) between the left middle cingulate (Hedge’s g = .234, p = 0288, I2 = 15.87), located within the SN, and the posterior cingulate cortex, a focal hub of the DMN. Egger’s test for publication bias was nonsignificant, bias = 2.17, p = .162. In support of our hypothesis, results suggest that MT targets internetwork (SN-DMN) connectivity implicated in the flexible control of internally-oriented attention.

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