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Updated: Feb 15, 2026

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
Published on: August 28, 2021
[Resting-state network evaluation of chronic smokers by functional magnetic resonance imaging.]
1Department of Magnetic Resonance, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Abstract:
Objective: To explore the neuromechanism of nicotine smoking, we use independent component analysis (ICA) of resting-state functional magnetic resonance imaging (fMRI) to investigate the differences of functional connectivity of resting-state networks (RSN) in chronic smokers. Methods: Forty-five chronic smokers and thirty-four age and gender matched normal nonsmoking controls experienced resting-state fMRI scanning in 3.0T MRI scanner.Differences of the function connection in each RSN between chronic smokers group and nonsmoking controls group were analyzed by SPM software which was based on Matlab platform. Results: Compared with normal nonsmoking controls, changes of functional connectivity within each RSN in chronic smokers: (1) medial visual network: functional connectivity decreased in right cuneus (t=4.17, P<0.05) and left calcarine (t=3.08, P<0.05); (2) lateral visual network: decreased in left gyrus occipital superior (t=3.42, P<0.05); (3) occipital pole visual network: decreased in right gyrus occipital medius and left gyrus occipital medius (t=3.58, P<0.05); (4) dorsal attention network (DAN): increased in right gyrus occipital superior (t=3.42, P<0.05); (5) left frontoparietal network: decreased in left inferior parietal lobe (t=3.77, P<0.05); (6) right frontoparietal network: increased in right gyrus frontalis medius (t=3.42, P<0.05). Conclusion: There are some RSNs changes of chronic smokers compared with normal nonsmoking controls, with multiple brain regions functional connectivity abnormalities.
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