Independent component analysis of fMRI data in heroin addiction
10.3760/cma.j.issn.1671-8925.2012.01.011
- VernacularTitle:基于独立成分分析方法的海洛因成瘾者功能磁共振成像研究
- Author:
Wen-Fu HU
1
;
Xian-Ming FU
;
Ruo-Bing QIAN
;
Xue-Bing JI
;
Xiang-Pin WEI
;
Bing LIN
;
Tao YI
;
Chao-Shi NIU
;
Ye-Han WANG
Author Information
1. 安徽医科大学附属省立医院
- Keywords:
Heroin addiction;
Cue elicitation;
Independent component analysis
- From:
Chinese Journal of Neuromedicine
2012;11(1):46-49
- CountryChina
- Language:Chinese
-
Abstract:
Objective To detect the neuronal network activity of specific brain areas in heroin addicts under craving state induced by heroin related cues with independent component analysis (ICA) of functional MRI (fMRI) data. Methods Fifteen heroin addicts,admitted to our hospital from February 2010 to December 2010, and 15 healthy controls were recruited in the case-control study; they were performed whole brain scan with 3.0Tesla MR scanner when being presented with heroin related cues.ICA was performed on these data and their neuronal network activities were compared. Results As compared with those in the controls,the bilateral prefrontal cortex,the left anterior cingulated cortex,the bilateral posterior cingulated cortex, the left inferior temporal gyrus and the left parietal lobe enjoyed obviously decreased activity, while bilateral nucleus accumbens, the right hippocampus, part of the temporal lobe and the occipital lobe enjoyed significantly increased activity (P＜0.05). Conclusion ICA is an advanced approach to identify fMRI data induced by related cues; the specific neuroanatomy mediated to cue-elicited heroin craving mostly locates in the learn-memory system and reward system,which involves the frontal cortex,the parietal lobe,the anterior eingulate,the posterior cingulate,the hippocampus and the nucleus accumbens.
