Anterior cingulum white matter is altered in tobacco smokers

Baeza-Loya, Selina; Velasquez, Kenia M.; Molfese, David L.; Viswanath, Humsini; Curtis, Kaylah; Thompson-Lake, Daisy G.Y.; Baldwin, Philip R.; Ellmore, Timothy M.; Garza, Richard De La; Salas, Ramiro

doi:10.1111/ajad.12362

Cited by 19 publications

(19 citation statements)

References 19 publications

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“…This is consistent with the research results of Zhang et al [13] on FA value between schizophrenic smokers and age-matched healthy nonsmoking control group using TBSS method. This was also similar to the conclusion of Baeza-Loya et al [21], that is, the FA values of most of the association fibers such as the right superior longitudinal bundle, the right inferior longitudinal bundle and the inferior frontal occipital bundle were reduced. The upper longitudinal bundle is located on the dorsal side of the upper edge of the insula, carries nerve impulses backwards from the frontal lobe to the contact area of the parietal and occipital lobes.…”

Section: Relationship Between Dti Changes Of White Matter Microstructsupporting

confidence: 90%

Evaluating the Changes of White Matter Microstructures in Tobacco Addicts Based on Diffusion Tensor Imaging

et al. 2020

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Departmental sources Background: The tract-based spatial statistics (TBSS) method was used to investigate the changes of white matter microstructure in tobacco addicts, and to analyze its correlation with smoking index, smoking years, and daily smoking amount. Material/Methods: Routine magnetic resonance imaging (excluding intracranial lesions) and diffusion tensor imaging (DTI) sequence scanning were performed in 156 nicotine addicts (nicotine dependence group) and 81 non-nicotine addicts (control group) recruited from the study group. TBSS method was used to preprocess DTI data, and age and education level were taken as covariables to statistically analyze relevant parameters between nicotine dependence group and control group, such as fractional anisotropy (FA) value and smoking index. Spearman correlation analysis was performed on smoking status and FA values in brain regions with significant differences between nicotine dependent group and control group, and the test level a was 0.05. Results: Compared with control group, FA values of white matter in part of the posterior limb of the right inner capsule (r=-0.428, P=0.003), the right superior radiating crown (r=-0.136, P=0.004), the right posterior radiating crown (r=-0.229, P=0.003), the right superior longitudinal bundle (r=-0.474, P=0.002), the right inferior longitudinal bundle (r=-0.354, P=0.003) and the inferior frontal occipital bundle (r=-0.310, P=0.002) were decreased, which were negatively correlated with smoking index (P<0.05). Conclusions: Nicotine can damage the microstructure of white matter in specific brain regions and damage neurons, with cumulative effects.

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Section: Relationship Between Dti Changes Of White Matter Microstructsupporting

confidence: 90%

Evaluating the Changes of White Matter Microstructures in Tobacco Addicts Based on Diffusion Tensor Imaging

et al. 2020

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“…Fourthly, the UHR individuals and HCs were matched on sex and age (±3 years), but differed in terms of abuse/dependency/heavy‐use of tobacco, alcohol, and drugs. Studies on long‐term use of drugs such as cannabis , inhalants , and cocaine have primarily associated the drugs to low FA, while studies on tobacco smoking have shown equivocal results with findings of both high FA and low FA in smokers. We handled these potential confounders by correcting for them in the statistical analysis.…”

Section: Discussionmentioning

confidence: 99%

White matter maturation during 12 months in individuals at ultra‐high‐risk for psychosis

Krakauer

Nordentoft

Glenthøj

et al. 2017

Acta Psychiatr Scand

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“…Cross-sectional studies examining WM integrity in middle-aged (Lin et al., 2013, Savjani et al., 2014, Umene-Nakano et al., 2014, Viswanath et al., 2015) and older (de Groot et al., 2015, Gons et al., 2011) smokers have shown lower FA and higher MD values compared with nonsmokers or former smokers, even after correction for age, blood pressure, BMI, diabetes, and alcohol consumption (Gons et al., 2011). In addition, longer duration of smoking has been related to worse WM integrity (Baeza-Loya et al., 2016, Lin et al., 2013, Umene-Nakano et al., 2014, Viswanath et al., 2015). Tract-specific changes have most frequently been observed in the corpus callosum and internal capsule, showing lower FA in smoking adults (de Groot et al., 2015, Lin et al., 2013, Savjani et al., 2014, Umene-Nakano et al., 2014, Viswanath et al., 2015).…”

Section: Modifiable Factors and Wm Microstructurementioning

confidence: 99%

Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies

Wassenaar

Yaffe

Werf

et al. 2019

Neurobiology of Aging

105

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There is increasing interest in factors that may modulate white matter (WM) breakdown and, consequentially, age-related cognitive and behavioral deficits. Recent diffusion tensor imaging studies have examined the relationship of such factors with WM microstructure. This review summarizes the evidence regarding the relationship between WM microstructure and recognized modifiable factors, including hearing loss, hypertension, diabetes, obesity, smoking, depressive symptoms, physical (in) activity, and social isolation, as well as sleep disturbances, diet, cognitive training, and meditation. Current cross-sectional evidence suggests a clear link between loss of WM integrity (lower fractional anisotropy and higher mean diffusivity) and hypertension, obesity, diabetes, and smoking; a relationship that seems to hold for hearing loss, social isolation, depressive symptoms, and sleep disturbances. Physical activity, cognitive training, diet, and meditation, on the other hand, may protect WM with aging. Preliminary evidence from cross-sectional studies of treated risk factors suggests that modification of factors could slow down negative effects on WM microstructure. Careful intervention studies are needed for this literature to contribute to public health initiatives going forward.

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Anterior cingulum white matter is altered in tobacco smokers

Abstract: By better understanding the effects of tobacco abuse on the brain, we hope to gain insight into how drug dependence influences the neurological foundations of behavior.

Cited by 19 publications

References 19 publications

Evaluating the Changes of White Matter Microstructures in Tobacco Addicts Based on Diffusion Tensor Imaging

Evaluating the Changes of White Matter Microstructures in Tobacco Addicts Based on Diffusion Tensor Imaging

White matter maturation during 12 months in individuals at ultra‐high‐risk for psychosis

Associations between modifiable risk factors and white matter of the aging brain: insights from diffusion tensor imaging studies

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