| Title |
Chronic smoking and brain gray matter changes: evidence from meta-analysis of voxel-based morphometry studies
|
|---|---|
| Published in |
Neurological Sciences, December 2012
|
| DOI | 10.1007/s10072-012-1256-x |
| Pubmed ID | |
| Authors |
PingLei Pan, HaiCun Shi, JianGuo Zhong, PeiRong Xiao, Yuan Shen, LiJuan Wu, YuanYing Song, GuiXiang He |
| Abstract |
Structural neuroimaging studies on chronic smokers using voxel-based morphometry (VBM) had provided cumulative evidence of gray matter (GM) changes relative to nonsmokers. However, not all the studies reported entirely consistent findings. Here, we aimed at identifying consistent GM anomalies in chronic smokers by performing a meta-analysis, and a systematic search of VBM studies on chronic smokers and nonsmokers published in PubMed and Embase database from 2000 to April 2012. Meta-analysis was performed using a newly improved voxel-based meta-analytic tool, namely effect size signed differential mapping, to quantitatively explore the GM abnormalities between chronic smokers and nonsmokers. A total of 7 eligible VBM studies involving 213 chronic smokers and 205 nonsmokers met the inclusion criteria. A considerable regional GM volume decrease was detected in the anterior cingulate cortex (ACC) (BA 24) extending to BA32 in chronic smokers. The findings remain largely unchanged in the entire brain jackknife sensitivity analyses. The results of the present meta-analysis provide evidence of GM changes in ACC in chronic smokers which may be an important potential therapeutic neuro-target for nicotine dependence. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| China | 1 | 2% |
| Unknown | 63 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Student > Master | 11 | 17% |
| Researcher | 8 | 12% |
| Student > Doctoral Student | 4 | 6% |
| Professor | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 16 | 25% |
| Medicine and Dentistry | 11 | 17% |
| Psychology | 10 | 15% |
| Agricultural and Biological Sciences | 2 | 3% |
| Unspecified | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 16 | 25% |