Abnormal white matter microstructure among early adulthood smokers: a tract-based spatial statistics study
Abstract
Objectives Cigarette smoking is an important risk factor of central nervous system diseases. However, the white matter (WM) integrity of early adulthood chronic smokers has not been attached enough importance to as it deserves, and the relationship between the chronic smoking effect and the WM is still unclear. The purpose of this study was to investigate whole - brain WM microstructure of early adulthood smokers and explore the structural correlates of behaviorally relevant features of the disorder. Methods We compared multiple DTI-derived indices, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD), between early adulthood smokers (n = 19) and age-, education- and gender-matched controls (n = 23) using a whole-brain tract-based spatial statistics approach. We also explored the correlations of the mean DTI index values with pack-years and Fagerström Test for Nicotine Dependence. Results The smokers showed increased FA in left superior longitudinal fasciculus (SLF), left anterior corona radiate, left superior corona radiate, left posterior corona radiate, left external capsule (EC), left inferior fronto-occipital fasciculus and sagittal stratum (SS), and decreased RD in left SLF. There were significant negative correlations among the average FA in the left external capsule and pack-years in smokers. In addition, significant positive correlation was found between RD values in the left SLF and pack-years. Discussion These findings indicate that smokers show microstructural changes in several white-matter regions. The correlation between the cumulative effect and microstructural WM alternations suggests that WM properties may become the new biomarkers in practice.
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In chronic nicotine users, heavy consumption is associated with lower RD.
“as well has both lower RD (Wang et al., 2017)”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Wang et al., 2017
Regular nicotine use is associated with higher FA.
“and higher FA (Hudkins, O’Neill, Tobias, Bartzokis, & London, 2012; Wang et al., 2017).”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Wang et al., 2017
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- Authors
- Wang, S., Zuo, L., Jiang, T., Peng, P., Chu, S., & Xiao, D.
- Affiliations
- Capital Medical University (CN)
- China-Japan Friendship Hospital (CN)
- Corresponding author
- Xiao, Dan
- Venue
- Neurological Research
- Publisher
- Informa UK Limited
- Published
- 2017-09-21
- Volume
- 39
- Issue
- 12
- Pages
- 1094-1102
- ISSN
- 0161-6412 (ISSN-L)
- 1743-1328
- OpenAlex
- W2757709062
- Cited by
- 12
- References
- 58
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 2 · 2021: 2 · 2020: 1 · 2019: 2
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurological Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81200066, 81541129)
- the National Natural Science Foundation of China (81541129, 81200066)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- cigarette smoking, white matter microstructure, fractional anisotropy, radial diffusivity, superior longitudinal fasciculus, corona radiata, external capsule, inferior fronto-occipital fasciculus, pack-years, nicotine dependence, white matter integrity
- MeSH terms
- Smokers, Adult, Brain, Cross-Sectional Studies, Data Interpretation, Statistical, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Severity of Illness Index, Smoking, Reproducibility of Results, Diffusion Tensor Imaging, White Matter
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