Distinct grey matter volume alterations in adult patients with panic disorder and social anxiety disorder: A systematic review and voxel-based morphometry meta-analysis

Wang, Xiuli; Cheng, Bo-Chao; Wang, Song; Lu, Fengmei; Luo, Yan; Long, Xipeng; Kong, Di

doi:10.1016/j.jad.2020.11.057

Cited by 30 publications

(38 citation statements)

References 108 publications

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“…Consistent with our findings, previous studies reported greater GMV and cortical thickness in the lingual gyrus in SAD relative HC (40) and MDD (53). The smaller GMV in right putamen in FAD relative to GAD aligns with previous meta-analytic findings demonstrating decreased putamen GMV in FAD relative to HC and obsessive-compulsive disorders (OCD) (23,24,54), as well as with original studies reporting larger putamen 14 volume in GAD (55). The putamen is a part of the dorsal striatum and is related to anxiety disorders and symptoms (56,57).…”

Section: Discussionsupporting

confidence: 92%

“…In contrast to our hypothesis, no convergent GMV alterations were observed in FAD, which may result from the heterogeneity of FAD and is consistent with a recent meta-analysis indicating no shared GMV alterations between SAD and PD (24). A more lenient threshold gave rise to increased GMV in the bilateral lingual gyrus and subgroup analyses suggested that increases in the lingual gyrus were mainly driven by SAD.…”

Section: Discussionsupporting

confidence: 84%

“…The metaanalytic approach previously allowed to determine consistent structural alterations within separate diagnostic groups (22)(23)(24)(25), and results indicate indirect support for dissociable yet overlapping structural deficits between GAD, FAD and MDD. For instance, decreased volumes in medial prefrontal cortex (mPFC) and superior temporal gyrus (STG) and insula have been separately and concurrently found in GAD (22), FAD (24) and MDD (26). Two recent meta-analyses employing a transdiagnostic approach encompassing findings from GAD and FAD studies have reported structural deficits in the left inferior frontal gyrus (IFG) in mixed AD group (27,28), suggesting a common neuroanatomical marker for AD.…”

Section: Introductionmentioning

confidence: 99%

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Distinct neurostructural signatures of anxiety-, fear-related and depressive disorders: a comparative voxel-based meta-analysis

Liu

Klugah‐Brown

Zhang

et al. 2021

Preprint

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Internalizing disorders encompass anxiety, fear and depressive disorders. While the DSM-5 nosology conceptualizes anxiety and fear-related disorders as an entity, dimensional psychopathology models suggest that generalized anxiety disorders (GAD) and major depression originate from an overarching “anxious-misery” factor whereas fear-related disorders originate from the “fear” factor. Given that a neurobiological evaluation is lacking, we conducted a comparative neuroimaging meta-analysis of gray matter volume alterations to determine common and disorder-specific brain structural signatures in these disorders. The PubMed, Web of Knowledge, and Scopus databases were searched for case-control voxel-based morphometric studies through December, 2020 in GAD, fear-related anxiety disorders (FAD, i.e., social anxiety disorders, SAD; specific phobias, SP; panic disorders, PD; and agoraphobia, AG) and major depressive disorder (MDD). Neurostructural abnormalities were assessed within each disorder group followed by quantitative comparison and conjunction analyses using Seed-based d-Mapping (SDM-PSI). GAD (9 studies, 226 patients) showed disorder-specific decreased volumes in left insula (z=-2.98, pFWE-corrected<0.05) and lateral/medial prefrontal cortex (z=-2.10, pFWE-corrected<0.05,) as well as increased right putamen volume (z=1.86, pFWE-corrected<0.05) relative to FAD (10 SAD, 11 PD, 2 SP studies, 918 patients). Both GAD and MDD (46 studies, 2,575 patients) exhibited decreased prefrontal volumes compared to controls and FAD. While FAD showed less robust alterations in lingual gyrus (p < 0.0025, uncorrected), this group presented intact frontal integrity. No shared structural abnormalities were found. Unique clinical features characterizing anxiety-, fear-related and depressive disorders are reflected by disorder-specific neuroanatomical abnormalities. Targeting the disorder-specific neurostructural signatures could improve therapeutic efficacy.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

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Distinct neurostructural signatures of anxiety-, fear-related and depressive disorders: a comparative voxel-based meta-analysis

Liu

Klugah‐Brown

Zhang

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…Neuroimaging markers of PaD include structural abnormalities in the amygdala, nucleus accumbens, thalamus, striatum, hippocampus, cerebellum, insula, ACC, midcingulate, IFG, STG, and somatosensory cortex using VBM (Del Casale et al, 2013;Wang, Cheng, et al, 2020).…”

Section: Panic Disordermentioning

confidence: 99%

“…The direction of effects in these regions has been somewhat inconsistent across studies, with most studies reporting smaller volumes in these regions in PaD individuals compared to controls. However, a handful of studies reported larger volumes in patients than controls, particularly in brainstem nuclei (Del Casale et al, 2013;Del-Ben & Graeff, 2009;Protopopescu et al, 2006;Sobanski & Wagner, 2017;Uchida et al, 2008;Wang, Cheng, et al, 2020). Larger brainstem volumes in PaD individuals versus controls may explain autonomic features of PaD, but much more work is needed in this area to understand this effect.…”

Section: Panic Disordermentioning

confidence: 99%

Sex is a defining feature of neuroimaging phenotypes in major brain disorders

Salminen

Tubi

Bright

et al. 2021

Human Brain Mapping

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Sex is a biological variable that contributes to individual variability in brain structure and behavior. Neuroimaging studies of population-based samples have identified normative differences in brain structure between males and females, many of which are exacerbated in psychiatric and neurological conditions. Still, sex differences in MRI outcomes are understudied, particularly in clinical samples with known sex differences in disease risk, prevalence, and expression of clinical symptoms. Here we review the existing literature on sex differences in adult brain structure in normative samples and in 14 distinct psychiatric and neurological disorders. We discuss commonalities and sources of variance in study designs, analysis procedures, disease subtype effects, and the impact of these factors on MRI interpretation. Lastly, we identify key problems in the neuroimaging literature on sex differences and offer potential recommendations to address current barriers and optimize rigor and reproducibility. In particular, we emphasize the importance of large-scale neuroimaging initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analyses consortium, the UK Biobank, Human Connectome Project, and others to provide unprecedented power to evaluate sex-specific phenotypes in major brain diseases.

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MRI tracking/detection of bone marrow mesenchymal stromal cells transplantation for treatment of ischemic cerebral infarction

Zhao

Niu

Zhu

et al. 2021

Ibrain

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Background: Cerebral stroke is the second leading cause of death with high mortality and morbidity worldwide, currently it lacks efective therapies to improve the prognosis. This study was aimed to explore the role of bone marrow mesenchymal stem cells (BMSCs) transplantation in the recovery of brain structure and function after ischemic cerebral infarction by magnetic resonance imaging (MRI).Methods: By applying internal carotid artery embolization, the ischemic cerebral infarction model in rats was established. MRI was performed to detect the imaging changes in the brain tissue after modeling, and the successful modeling was evidenced by the presence of obvious high-signal infarct areas in the brain. BMSCs were then injected into the lateral ventricles of rats, and the recovery of brain tissue and function were quantitatively evaluated by T2-weighted image (T2WI) and voxelbased morphology (VBM) after 28 days. Results:The results showed that BMSCs were cell subsets with multiple diferentiation potentials. Deicits caused by Ischemic cerebral infarction were relieved by BMSCs transplantation, including increase in damaged cerebral tissue and recovery of cerebral function. In addition, the combined imaging technology of VBM and T2WI quantitatively revealed the effectiveness of BMSCs in repairing damaged brain tissue structure and function. Conclusion:Taken together, the results revealed that the transplantation of BMSCs into the lateral ventricle was beneicial to repair the structure and function of the damaged brain tissue after ischemic cerebral infarction. Moreover, the combination of VBM and T2WI technology can detect the level of brain injury in ischemic cerebral infarction dynamically and noninvasively, and evaluate the recovery of structure and function of damaged brain tissue.

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Distinct grey matter volume alterations in adult patients with panic disorder and social anxiety disorder: A systematic review and voxel-based morphometry meta-analysis

Cited by 30 publications

References 108 publications

Distinct neurostructural signatures of anxiety-, fear-related and depressive disorders: a comparative voxel-based meta-analysis

Distinct neurostructural signatures of anxiety-, fear-related and depressive disorders: a comparative voxel-based meta-analysis

Sex is a defining feature of neuroimaging phenotypes in major brain disorders

MRI tracking/detection of bone marrow mesenchymal stromal cells transplantation for treatment of ischemic cerebral infarction

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