Grey matter morphometry in young adult e-cigarette users, tobacco cigarette users & non-using controls

Hammond D, Rynard VL, Reid JL. Changes in prevalence of vaping among youths in the United States, Canada, and England from 2017 to 2019. JAMA Pediatr. 2020;174:797–9.

Article  PubMed  PubMed Central  Google Scholar 

Government of Canada. Canadian Tobacco and Nicotine Survey (CTNS). Canada Stat. 2022;2021:1–5.

Google Scholar 

Kramarow EA, Elgaddal N. Current Electronic Cigarette Use Among Adults Aged 18 and Over: United States, 2021. NCHS Data Brief. 2023;475:1–8.

Johnson JM, Muilenburg JL, Rathbun SL, Yu X, Naeher LP, Wang JS. Elevated Nicotine Dependence Scores among Electronic Cigarette Users at an Electronic Cigarette Convention. J Community Health. 2018;43:164–74.

Article  PubMed  Google Scholar 

Jankowski M, Krzystanek M, Zejda JE, Majek P, Lubanski J, Lawson JA, et al. E-cigarettes are more addictive than traditional cigarettes—A study in highly educated young people. Int J Environ Res Public Health. 2019;16:4–13.

Article  Google Scholar 

Chatterjee K, Alzghoul B, Innabi A, Meena N. Is vaping a gateway to smoking: A review of the longitudinal studies. Int J Adolesc Med Health. 2018;30:20160033.

Siddiqui F, Mishu M, Marshall AM, Siddiqi K. E-cigarette use and subsequent smoking in adolescents and young adults: a perspective. Expert Rev Respir Med. 2019;13:403–5.

Article  CAS  PubMed  Google Scholar 

Breslau N, Peterson EL. Smoking cessation in young adults: Age at initiation of cigarette smoking and other suspected influences. Am J Public Health. 1996;86:214–20.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ali FRM, Agaku IT, Sharapova SR, Reimels EA, Homa DM. Onset of regular smoking before age 21 and subsequent nicotine dependence and cessation behavior among US adult smokers. Prev Chronic Dis. 2020;17:1–6.

Article  Google Scholar 

Squeglia LM, Gray KM. Alcohol and Drug Use and the Developing Brain. Curr Psychiatry Rep. 2016;18. https://doi.org/10.1007/s11920-016-0689-y.

Arain M, Haque M, Johal L, Mathur P, Nel W, Rais A, et al. Maturation of the adolescent brain. Neuropsychiatr Dis Treat. 2013;9:449–61.

PubMed  PubMed Central  Google Scholar 

Peng P, Li M, Liu H, Tian YR, Chu SL, van Halm-Lutterodt N, et al. Brain structure alterations in respect to tobacco consumption and nicotine dependence: a comparative voxel-based morphometry study. Front Neuroanat. 2018;12. https://doi.org/10.3389/fnana.2018.00043.

Gallinat J, Meisenzahl E, Jacobsen LK, Kalus P, Bierbrauer J, Kienast T, et al. Smoking and structural brain deficits: A volumetric MR investigation. Eur J Neurosci. 2006;24:1744–50.

Article  PubMed  Google Scholar 

Stoeckel LE, Chai XJ, Zhang J, Whitfield-Gabrieli S, Evins AE. Lower gray matter density and functional connectivity in the anterior insula in smokers compared with never smokers. Addiction Biol. 2016;21:972–81.

Article  Google Scholar 

Chen Y, Chaudhary S, Wang W, Li CSR. Gray matter volumes of the insula and anterior cingulate cortex and their dysfunctional roles in cigarette smoking. Addiction Neurosci. 2022;1:100003.

Liao Y, Tang J, Liu T, Chen X, Hao W. Differences between smokers and non-smokers in regional gray matter volumes: A voxel-based morphometry study. Addiction Biology. 2012;17:977–80.

Article  PubMed  Google Scholar 

Brody AL, Mandelkern MA, Jarvik ME, Lee GS, Smith EC, Huang JC, et al. Differences between smokers and nonsmokers in regional gray matter volumes and densities. Biol Psychiatry. 2004;55:77–84.

Article  PubMed  Google Scholar 

Zhang X, Salmeron BJ, Ross TJ, Geng X, Yang Y, Stein EA. Factors underlying prefrontal and insula structural alterations in smokers. Neuroimage. 2011;54:42–48.

Article  PubMed  Google Scholar 

Fritz HC, Wittfeld K, Schmidt CO, Domin M, Grabe HJ, Hegenscheid K, et al. Current smoking and reduced gray matter volume - A voxel-based morphometry study. Neuropsychopharmacology. 2014;39:2594–2600.

Article  PubMed  PubMed Central  Google Scholar 

Marques P, Piqueras L, Sanz MJ. An updated overview of e-cigarette impact on human health. Respir Res. 2021;22:1–14.

Article  Google Scholar 

Goniewicz ML, Smith DM, Edwards KC, Blount BC, Caldwell KL, Feng J, et al. Comparison of Nicotine and Toxicant Exposure in Users of Electronic Cigarettes and Combustible Cigarettes. JAMA Netw Open. 2018;1:1–16.

Article  Google Scholar 

Caliri AW, Tommasi S, Besaratinia A. Relationships among smoking, oxidative stress, inflammation, macromolecular damage, and cancer. Mutat Res Rev Mutat Res. 2021;787:108365.

Article  CAS  PubMed  Google Scholar 

Durazzo TC, Meyerhoff DJ, Nixon SJ. Chronic Cigarette Smoking: Implications for Neurocognition and Brain Neurobiology. Int J Environ Res Public Health. 2010;7:3760–91.

Article  PubMed  PubMed Central  Google Scholar 

Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom K. The Fagerström Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addict. 1991;86:1119–27.

Article  CAS  PubMed  Google Scholar 

Rahman A, Mohamed MN, Jamshed S, Mahmood S, Baig MI. The development and assessment of modified Fagerstrom test for nicotine dependence scale among Malaysian single electronic cigarette users. J Pharm Bioallied Sci. 2020;12:671.

Article  Google Scholar 

Rolls ET, Huang C-C, Lin C-P, Feng J, Joliot M. Automated anatomical labelling atlas 3. Neuroimage. 2020;206:116189.

Article  PubMed  Google Scholar 

Thomas Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106:1125–65.

Article  PubMed Central  Google Scholar 

Saunders JB, Aasland OG, Babor TF, De La Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption‐II. Addiction. 1993;88:791–804.

Article  CAS  PubMed  Google Scholar 

Kunas SL, Hilbert K, Yang Y, Richter J, Hamm A, Wittmann A, et al. The modulating impact of cigarette smoking on brain structure in panic disorder: A voxel-based morphometry study. Soc Cogn Affect Neurosci. 2020;15:849–59.

Article  PubMed  PubMed Central  Google Scholar 

Durazzo TC, Insel PS, Weiner MW. Greater regional brain atrophy rate in healthy elderly subjects with a history of cigarette smoking. Alzheimers Dementia. 2012;8:513–9.

Article  Google Scholar 

Weidler C, Gramegna C, Müller D, Schrickel M, Habel U. Resting-state functional connectivity and structural differences between smokers and healthy non-smokers. Sci Rep. 2024;14:6878.

Cabeza R, Nyberg L. Imaging cognition II: An empirical review of 275 PET and fMRI studies. J Cogn Neurosci. 2000;12:1–47.

Article  CAS  PubMed  Google Scholar 

Tranel D, Damasio H, Damasio AR. A neural basis for the retrieval of conceptual knowledge. Neuropsychologia. 1997;35:1319–27.

Article  CAS  PubMed  Google Scholar 

Chao LL, Haxby JV, Martin A. Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects. Nat Neurosci. 1999;2:913–9.

Article  CAS  PubMed  Google Scholar 

Ishai A, Ungerleider LG, Martin A, Schouten JL, Haxby JV. Distributed representation of objects in the human ventral visual pathway. Proc Natl Acad Sci USA. 1999;96:9379–84.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Herath P, Kinomura S, Roland PE. Visual recognition: Evidence for two distinctive mechanisms from a PET study. Hum Brain Mapp. 2001;12:110–9.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Mesulam MM. From sensation to cognition. Brain. 1998;121:1013–52.

Article  PubMed  Google Scholar 

Sergent J, Ohta S, Macdonald B. Functional Neuroanatomy of Face and Object Processing. Brain. 1992;115:15–36.

Article  PubMed  Google Scholar 

Wang X, Han Z, He Y, Caramazza A, Song L, Bi Y. Where color rests: Spontaneous brain activity of bilateral fusiform and lingual regions predicts object color knowledge performance. Neuroimage. 2013;76:252–63.

Article  PubMed  Google Scholar 

Weiner KS, Golarai G, Caspers J, Chuapoco MR, Mohlberg H, Zilles K, et al. The mid-fusiform sulcus: A landmark identifying both cytoarchitectonic and functional divisions of human ventral temporal cortex. Neuroimage. 2014;84:453–65.

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