Progress in Neuro-Psychopharmacology and Biological Psychiatry
Voxelwise meta-analysis of gray matter reduction in major depressive disorder
Highlights
► We quantitatively reviewed VBM studies in patients with MDD. ► We performed a modified ALE meta-analysis hybridized with GSMA. ► Twenty studies comparing gray matter between patients and controls were included. ► Gray matter reductions in MDD were found in bilateral ACC and right hippocampus.
Introduction
Structural neuroimaging techniques have been widely used to study brain alterations in major depressive disorder (MDD). The large majority of brain morphology studies in MDD have used a region of interest (ROI) approach in which investigators manually drew the brain regions of interest and then calculated and compared their volume in patients to healthy controls. Meta-analyses of these ROI studies have identified gray matter volume reductions in the amygdala (Hamilton et al., 2008), hippocampal gyrus (Campbell et al., 2004, McKinnon et al., 2009, Videbech and Ravnkilde, 2004), subgenual cingulate gyrus (Hajek et al., 2008) and frontal regions, particularly the anterior cingulate cortex (ACC) and the orbitofrontal cortex (Koolschijn et al., 2009). However, most of the studies applying ROI methods to examine gray matter changes in MDD focused on a relatively small number of specific brain regions (Goldstein et al., 1999), such as the hippocampus and the amygdala. This may have biased the conclusions of meta-analyses of ROI-based studies in favor of those regions which have been examined in most individual studies and, furthermore, may account for some of the inconsistent conclusions between meta-analyses.
VBM is a whole-brain and automatic technique which can be used to perform a voxel-wise comparison of the local concentration of gray matter between groups (Ashburner and Friston, 2000). It does not require the investigators to manually draw a priori regions of interest and is not biased towards one particular brain region; therefore, this technique overcomes the drawbacks of standard ROI-based methods. VBM has been widely used in a large number of studies of MDD to identify the neuroanatomical abnormalities associated with this disorder. Gray matter alterations have been reported in the orbitofrontal cortex (Egger et al., 2008, Scheuerecker et al., 2010, Wagner et al., 2008), temporal gyrus (Mak et al., 2009, Scheuerecker et al., 2010), anterior cingulate gyrus (Leung et al., 2009, Tang et al., 2007, Treadway et al., 2009), thalamus (Kim et al., 2008, Vasic et al., 2008) and hippocampus (Vasic et al., 2008, Wagner et al., 2010, Zou et al., 2010). However, there have been a number of non-replications and contrasting results across studies. For example, gray matter reduction in the cingulate cortex in patients with MDD relative to healthy controls have been reported in a number of studies (Tang et al., 2007, Treadway et al., 2009, Vasic et al., 2008), but opposite effect was also reported (Yuan et al., 2008). Similarly, two studies reported decreased gray matter in the hippocampus (Wagner et al., 2010, Zou et al., 2010), but another two studies reported no group difference in this region (Tang et al., 2007, Treadway et al., 2009). As is known to us, there was considerable variation in terms of the demographic characteristics of patients, the used imaging protocols and clinical factors in these published studies. For instance, several studies only included female MDD participants, which could limit the generalizability of their findings (Kim et al., 2008, Leung et al., 2009, Mak et al., 2009, Wagner et al., 2008). Additionally, some published MDD studies had used relatively small sample sizes which may result into false positive or false negative findings (Scheuerecker et al., 2010, Tang et al., 2007, Vasic et al., 2008). These variations may account for the inconsistent findings.
Given the apparent inconsistencies among previous reports of gray matter abnormalities in MDD, in the present study, we conducted a meta-analysis of the published VBM studies of MDD to identify the consistent regional gray matter abnormalities in MDD.
Section snippets
Inclusion of studies
Studies published from January 1996 to August 2011 were comprehensively searched in PubMed, Scopus and Medline databases, using “voxel*”, “morphometry”, “unipolar disorder”, “depressive disorder” and “depression” as keywords. Additionally, the reference lists of the identified studies were crosschecked to identify further studies for inclusion. Studies were selected according to the following inclusion criteria: 1) the study had used the VBM method to analyze gray matter changes in major
Gray matter reductions in MDD
There were 20 studies reporting gray matter reductions in MDD (Table 1). The 20 studies included a total of 543 major depressive patients contrasted with 750 healthy controls and reported a total of 132 distinct foci. As illustrated in Fig. 1 and Table 2, consistent gray matter reductions in all patients with MDD relative to healthy controls were identified in the bilateral ACC which were contributed by 8 primary studies. Gray matter decreases were also detected in the right middle and inferior
Discussions
We performed a modified ALE meta-analysis hybridized with GSMA on findings from 20 VBM studies which contrasted gray matter volume in 543 MDD patients to 750 healthy subjects. Significant gray matter reductions were identified in the bilateral ACC, right middle and inferior frontal gyrus, right hippocampus, and left thalamus.
Gray matter reduction in the ACC has been one of the most frequently reported volumetric abnormalities in MDD. Cumulative evidence has suggested that the ACC is implicated
Conclusion
The results of meta-analysis of all VBM studies implicate regional gray matter reduction in MDD is a neural network of frontal, limbic and thalamic regions involved in the emotional and cognitive processing and stress-responsiveness. A better understanding of the neural network implicated in MDD may inform the diagnosis and treatment of this condition in the future. Future studies will benefit from the use of a longitudinal approach to examine anatomical and functional abnormalities within this
Authorship contributions
Qi-Yong Gong※ contributed to the conception of the study. Ming-Ying Du, Qi-Zhu Wu, Andrea Mechelli and Qi-Yong Gong※ contributed significantly to analysis and manuscript preparation; Ming-Ying Du and Qi-Zhu Wu performed the data analyses and wrote the manuscript; Yi Liao, Wei-Hong Kuang, Qiang Yue, Jun Li, Xiao-Qi Huang and Raymond C.K. Chan helped perform the analysis with constructive discussions.
Financial disclosures
All the authors have no conflicts of interests to declare for this article.
Acknowledgements
This study was supported by National Natural Science Foundation of China (Grants nos. 81030027, 30900362), National Basic Research Program of China (973 Program No: 2007CB512302/5) and an International Joint Project grant from the Royal Society (2008/R3NSFC). We would also like to thank Doctor Ellison-Wright Ian for his help in providing and using the code to combine ALE and GSMA in our meta-analysis.
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Ming-Ying Du and Qi-Zhu Wu contributed equally to this work.