The changes of brain functional networks in young adult smokers based on independent component analysis-Reference-Cited by-同舟云学术

The changes of brain functional networks in young adult smokers based on independent component analysis

Published:2020-04-20 Issue:2 Volume:15 Page:788-797
ISSN:1931-7557
Container-title:Brain Imaging and Behavior
language:en
Short-container-title:Brain Imaging and Behavior

Author:

Wang XianFu,Xue Ting,Dong Fang,Li Yangding,Xie Dongdong,Liu Chang,Zhang Ming,Bi Yanzhi,Yuan Kai,Yu Dahua

Funder

the Fundamental Research Funds for the Central Universities

the program for Young adult Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region

the Natural Science Foundation of Inner Mongolia

the program of Science and Technology in Universities of Inner Mongolia Autonomous Region

The Natural Science Basic Research Plan in Shaan-xi Province of China

US National Institutes of Health, Intramural Research program

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Behavioral Neuroscience,Psychiatry and Mental health,Cellular and Molecular Neuroscience,Neurology (clinical),Cognitive Neuroscience,Neurology,Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s11682-020-00289-4.pdf

Reference59 articles.

1. Azizian, A., Nestor, L. J., Payer, D., Monterosso, J. R., Brody, A. L., & London, E. D. (2010). Smoking reduces conflict-related anterior cingulate activity in abstinent cigarette smokers performing a Stroop task. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 35, 775–782.

2. Baldassarre, A., Lewis, C. M., Committeri, G., Snyder, A. Z., Romani, G. L., & Corbetta, M. (2012). Individual variability in functional connectivity predicts performance of a perceptual task. Proceedings of the National Academy of Sciences of the United States of America, 109, 3516–3521.

3. Balfour, D. J. (1994). Neural mechanisms underlying nicotine dependence. Addiction (Abingdon, England), 89, 1419–1423.

4. Beckmann, C. F., & Smith, S. M. (2004). Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Transactions on Medical Imaging, 23, 137–152.

5. Beckmann, C. F., Mackay, C. E., Filippini, N., & Smith, S. M. (2009). Group comparison of resting-state FMRI data using multi-subject ICA and dual regression. NeuroImage, 47, S148.

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