PMID- 23527165 OWN - NLM STAT- MEDLINE DCOM- 20130920 LR - 20220316 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 8 IP - 3 DP - 2013 TI - Changes of functional and effective connectivity in smoking replenishment on deprived heavy smokers: a resting-state FMRI study. PG - e59331 LID - 10.1371/journal.pone.0059331 [doi] LID - e59331 AB - Previous researches have explored the changes of functional connectivity caused by smoking with the aid of fMRI. This study considers not only functional connectivity but also effective connectivity regarding both brain networks and brain regions by using a novel analysis framework that combines independent component analysis (ICA) and Granger causality analysis (GCA). We conducted a resting-state fMRI experiment in which twenty-one heavy smokers were scanned in two sessions of different conditions: smoking abstinence followed by smoking satiety. In our framework, group ICA was firstly adopted to obtain the spatial patterns of the default-mode network (DMN), executive-control network (ECN), and salience network (SN). Their associated time courses were analyzed using GCA, showing that the effective connectivity from SN to DMN was reduced and that from ECN/DMN to SN was enhanced after smoking replenishment. A paired t-test on ICA spatial patterns revealed functional connectivity variation in regions such as the insula, parahippocampus, precuneus, anterior cingulate cortex, supplementary motor area, and ventromedial/dorsolateral prefrontal cortex. These regions were later selected as the regions of interest (ROIs), and their effective connectivity was investigated subsequently using GCA. In smoking abstinence, the insula showed the increased effective connectivity with the other ROIs; while in smoking satiety, the parahippocampus had the enhanced inter-area effective connectivity. These results demonstrate our hypothesis that for deprived heavy smokers, smoking replenishment takes effect on both functional and effective connectivity. Moreover, our analysis framework could be applied in a range of neuroscience studies. FAU - Ding, Xiaoyu AU - Ding X AD - Department of Computer Science and Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul, Republic of Korea. FAU - Lee, Seong-Whan AU - Lee SW LA - eng PT - Comparative Study PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20130319 PL - United States TA - PLoS One JT - PloS one JID - 101285081 SB - IM MH - Adult MH - Brain/*physiopathology MH - Causality MH - Connectome MH - Humans MH - Magnetic Resonance Imaging MH - Male MH - Republic of Korea MH - Smoking/*physiopathology MH - *Smoking Cessation PMC - PMC3602016 COIS- Competing Interests: The authors have declared that no competing interests exist. EDAT- 2013/03/26 06:00 MHDA- 2013/09/21 06:00 PMCR- 2013/03/19 CRDT- 2013/03/26 06:00 PHST- 2012/10/29 00:00 [received] PHST- 2013/02/13 00:00 [accepted] PHST- 2013/03/26 06:00 [entrez] PHST- 2013/03/26 06:00 [pubmed] PHST- 2013/09/21 06:00 [medline] PHST- 2013/03/19 00:00 [pmc-release] AID - PONE-D-12-33424 [pii] AID - 10.1371/journal.pone.0059331 [doi] PST - ppublish SO - PLoS One. 2013;8(3):e59331. doi: 10.1371/journal.pone.0059331. Epub 2013 Mar 19.