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6.9 Predictors of nicotine dependence
Foreword

Relevant news and research: Predictors of nicotine dependence

Zhang, M., Sun, J., Tao, Q., Dang, J., Wang, W., Han, S., Wei, Y., Cheng, J. and Zhang, Y. (2025). Abnormal resting-state effective connectivity of triple network predicts smoking motivations among males. Front Psychiatry, 1622162. Available from: https://www.ncbi.nlm.nih.gov/pubmed/40896217


Borowy, D., Boron, A., Chmielowiec, J., Chmielowiec, K., Lachowicz, M., Masiak, J., Grzywacz, A. and Suchanecka, A. (2025). Exploring the Relationship Between Brain-Derived Neurotrophic Factor Haplotype Variants, Personality, and Nicotine Usage in Women. Int J Mol Sci, 15. Available from: https://www.ncbi.nlm.nih.gov/pubmed/40806241


Jing, C., An, X. and Fang, J. (2025). A single-center case-control study of the association between dorsal striatal damage and nicotine addiction. Front Neurol, 1553200. Available from: https://www.ncbi.nlm.nih.gov/pubmed/40458468


Stam, C. H., van der Veen, F. M., Steele, V. R. and Franken, I. H. A. (2025). Tobacco smoking is associated with attenuated error monitoring. Biol Psychol, 109075. Available from: https://www.ncbi.nlm.nih.gov/pubmed/40562349


Earlier news and research

For news items and research on this topic earlier than 2025, click here.

Intro
Chapter 2