The DOI matches its Crossref record; 85 of the 87 references it cites were found in a registry or an index.
Smoking and structural brain deficits: a volumetric MR investigation
Abstract
Growing evidence from animal studies indicates brain‐damaging properties of nicotine exposure. Investigations in humans found a wide range of functional cerebral effects of nicotine and cigarette smoking, but studies focusing on brain damage are sparse. In 22 smokers and 23 never‐smokers possible differences of the cerebral structures were investigated using magnetic resonance imaging and voxel‐based morphometry. Significantly smaller grey matter volume and lower grey matter density (P = 0.05, corrected) were observed in the frontal regions (anterior cingulate, prefrontal and orbitofrontal cortex), the occipital lobe and the temporal lobe including parahippocampal gyrus, in smokers than in never‐smokers. Group differences of either grey matter volume or grey matter density were also found in the thalamus, cerebellum and substantia nigra, among other regions. Smokers did not show greater volumes than never‐smokers in any cerebral region. Magnitude of lifetime exposure to tobacco smoke (pack‐years) was inversely correlated with volume of frontal and temporal lobes and cerebellum (P = 0.001, uncorrected). The data indicate structural deficits of several cortical and subcortical regions in smokers relative to never‐smokers. The topographic profile of the group differences show some similarities to brain networks known to mediate drug reinforcement, attention and working memory processing. The present findings may explain in part the frequently reported cognitive dysfunctions in chronic cigarette consumers.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Heavy nicotine use in the form of smoking tobacco has been linked to neuropathy (Brody, 2006), often manifesting as prefrontal gray matter atrophy (Gallinat et al., 2006; Zhang et al., 2011).”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Gallinat et al., 2006
Citations
Cites
(1998) · The Journal of Clinical Psychiatry · Cited by 19,139
The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire
HEATHERTON, T. F., KOZLOWSKI, L. T., FRECKER, R. C., & FAGERSTROM, K. (1991) · British Journal of Addiction · doi:10.1111/j.1360-0443.1991.tb01879.x · Cited by 10,738
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
The mini international neuropsychiatric interview
Lecrubier, Y., Sheehan, D. V., Hergueta, T., & Weiller, E. (1998) · European Psychiatry · doi:10.1016/s0924-9338(99)80239-9 · Cited by 5,899
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Goldstein, R. Z., & Volkow, N. D. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.10.1642 · Cited by 2,667
Common regions of the human frontal lobe recruited by diverse cognitive demands
Duncan, J., & Owen, A. M. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01633-7 · Cited by 2,498
Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens
Knutson, B., Adams, C. M., Fong, G. W., & Hommer, D. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-16-j0002.2001 · Cited by 2,244
Flagged first, then by citations
2 of the 87 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Gallinat J., 2006, Abnormal hippocampal neurochemistry in smokers. Evidence from Proton Magnetic Resonance Spectroscopy 3 Tesla, J. Clin. Psychopharmacol.
Cited by
Sorted by citations
Items 101–200 of 330
Common structural correlates of trait impulsiveness and perceptual reasoning in adolescence
Schilling, C., Kühn, S., Romanowski, A., Banaschewski, T., Barbot, A., Barker, G. J., Brühl, R., Büchel, C., Charlet, K., Conrod, P., et al. (2011) · Human Brain Mapping · doi:10.1002/hbm.21446 · Cited by 53
Self-citationNeuropathology of cigarette smoking
Chang, R. C., Ho, J. Y. S., Wong, C. S., Gentleman, S. M., & Ng, H. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1210-x · Cited by 59
Cadar, D., Robitaille, A., Clouston, S., Hofer, S. M., Piccinin, A. M., & Terrera, G. M. (2017) · Neuroepidemiology · doi:10.1159/000452276 · Cited by 53
Pennington, D., Durazzo, T. C., Schmidt, T. P., Abé, C., Mon, A., & Meyerhoff, D. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0122505 · Cited by 51
Meta-analysis of brain gray matter changes in chronic smokers
Yang, Z., Zhang, Y., Cheng, J., & Zheng, R. (2020) · European Journal of Radiology · doi:10.1016/j.ejrad.2020.109300 · Cited by 50
Froeliger, B., Kozink, R. V., Rose, J. E., Behm, F. M., Salley, A. N., & McClernon, F. J. (2010) · Psychopharmacology · doi:10.1007/s00213-010-1862-3 · Cited by 49
Wang, J. J., Durazzo, T. C., Gazdzinski, S. P., Yeh, P., Mon, A., & Meyerhoff, D. J. (2009) · NMR in Biomedicine · doi:10.1002/nbm.1363 · Cited by 50
Cigarette smoking is associated with amplified age-related volume loss in subcortical brain regions
Durazzo, T. C., Meyerhoff, D. J., Yoder, K. K., & Murray, D. E. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.04.012 · Cited by 49
Yu, R., Deochand, C., Krotow, A., Leão, R. A. C., Tong, M., Agarwal, A., Cadenas, E., & de la Monte, S. M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150751 · Cited by 48
Liao, Y., Tang, J., Deng, Q., Deng, Y., Luo, T., Wang, X., Chen, H., Liu, T., Chen, X., Brody, A. L., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026460 · Cited by 48
Hay, M., Barnes, C. A., Huentelman, M. J., Brinton, R. D., & Ryan, L. (2020) · Current Hypertension Reports · doi:10.1007/s11906-020-01090-w · Cited by 51
Altered spontaneous brain activity in heavy smokers revealed by regional homogeneity
Wu, G., Yang, S., Zhu, L., & Lin, F. (2015) · Psychopharmacology · doi:10.1007/s00213-015-3881-6 · Cited by 45
Zois, E., Kiefer, F., Leménager, T., Vollstädt‐Klein, S., Mann, K. F., & Fauth‐Bühler, M. (2016) · Addiction Biology · doi:10.1111/adb.12368 · Cited by 46
Fedota, J. R., Matous, A. L., Salmeron, B. J., Gu, H., Ross, T. J., & Stein, E. A. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.62 · Cited by 45
Berre, A. L., Pitel, A., Chanraud, S., Beaunieux, H., Eustache, F., Martinot, J., Reynaud, M., Martelli, C., Torsten Rohlfing, B., Sullivan, E. V., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22500 · Cited by 45
Brangioni, M. C. V. D. S., Pereira, D. A., Thibaut, A., Fregni, F., Brasil-Neto, J. P., & Boëchat‐Barros, R. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00014 · Cited by 45
Smoking status as a potential confounder in the study of brain structure in schizophrenia
Schneider, C. E., White, T. J. H., Haß, J., Geisler, D., Wallace, S. R., Roessner, V., Holt, D. J., Calhoun, V. D., Gollub, R. L., & Ehrlich, S. (2013) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2013.12.004 · Cited by 44
Luhar, R. B., Sawyer, K. S., Gravitz, Z. R., Ruiz, S. M., & Oscar‐Berman, M. (2013) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s52298 · Cited by 43
Brain Circuits That Link Schizophrenia to High Risk of Cigarette Smoking
Moran, L. V., Sampath, H., Kochunov, P., & Hong, L. E. (2012) · Schizophrenia Bulletin · doi:10.1093/schbul/sbs149 · Cited by 42
Froeliger, B., McConnell, P. A., Bell, S., Sweitzer, M. M., Kozink, R. V., Eichberg, C., Hallyburton, M., Kaiser, N., Gray, K. M., & McClernon, F. J. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.0017 · Cited by 47
The implication of salience network abnormalities in young male adult smokers
Li, Y., Yuan, K., Guan, Y., Cheng, J., Bi, Y., Shi, S., Xue, T., Lu, X., Qin, W., Yu, D., et al. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9568-8 · Cited by 44
Gazdzinski, S. P., Durazzo, T. C., Weiner, M. W., & Meyerhoff, D. J. (2008) · Alcohol · doi:10.1016/j.alcohol.2008.01.002 · Cited by 41
Abnormal White Matter Integrity in the Corpus Callosum among Smokers: Tract-Based Spatial Statistics
Umene‐Nakano, W., Yoshimura, R., Kakeda, S., Watanabe, K., Hayashi, K., Nishimura, J., Takahashi, H., Moriya, J., Ide, S., Ueda, I., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087890 · Cited by 41
The Neural Mechanisms Underlying the Acute Effect of Cigarette Smoking on Chronic Smokers
Wang, K., Yang, J., Zhang, S., Wei, D., Hao, X., Tu, S., & Qiu, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102828 · Cited by 39
Gröpper, S., Spengler, S., Stuke, H., Gawron, C. K., Parnack, J., Gutwinski, S., Wiers, C. E., & Bermpohl, F. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.08.006 · Cited by 39
Duriez, Q., Crivello, F., & Mazoyer, B. M. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00299 · Cited by 38
Huang, W., DiFranza, J. R., Kennedy, D. N., Zhang, N., Ziedonis, D. M., Ursprung, S. A., & King, J. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067837 · Cited by 38
Specific brain structural abnormalities in first-episode schizophrenia.
Crespo‐Facorro, B., Roiz‐Santiáñez, R., Pérez‐Iglesias, R., Tordesillas‐Gutiérrez, D., Mata, I. F., Rodríguez-Sánchez, J. M., de Lucas, E. M., & Vázquez‐Barquero, J. L. (2009) · Schizophrenia Research · doi:10.1016/j.schres.2009.09.007 · Cited by 38
Atluri, V. S. R., Pilakka‐Kanthikeel, S., Samikkannu, T., Sagar, V., Kurapati, K. R. V., Saxena, S. K., Yndart, A., Raymond, A., Ding, H., Hernandez, O., et al. (2014) · Molecular Brain · doi:10.1186/1756-6606-7-37 · Cited by 38
Prenatal methamphetamine exposure is associated with reduced subcortical volumes in neonates
Warton, F. L., Meintjes, E. M., Warton, C. M. R., Molteno, C. D., Lindinger, N. M., Carter, R. C., Zöllei, L., Wintermark, P., Jacobson, J. L., van der Kouwe, A. J. W., et al. (2017) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2017.10.005 · Cited by 37
Tong, M., Yu, R., Silbermann, E., Zabala, V., Deochand, C., & de la Monte, S. M. (2015) · Alcohol and Alcoholism · doi:10.1093/alcalc/agv102 · Cited by 36
Caulfield, K. A., Li, X., & George, M. S. (2021) · Clinical Neurophysiology · doi:10.1016/j.clinph.2021.06.015 · Cited by 36
Lin, F., Han, X., Wang, Y., Ding, W., Sun, Y., Zhou, Y., & Lei, H. C. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00227-z · Cited by 34
Tobacco smoking and MRI/MRS brain abnormalities compared to nonsmokers
Domino, E. F. (2008) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2008.09.004 · Cited by 35
Cortical thinning in amphetamine-type stimulant users
Koester, P., Tittgemeyer, M., Wagner, D. R., Becker, B., Gouzoulis‐Mayfrank, E., & Daumann, J. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.06.049 · Cited by 34
Brain‐volume changes in young and middle‐aged smokers: a DARTEL ‐based voxel‐based morphometry study
Peng, P., Wang, Z., Jiang, T., Chu, S., Wang, S., & Xiao, D. (2015) · The Clinical Respiratory Journal · doi:10.1111/crj.12393 · Cited by 35
Martin-Söelch, C. (2013) · Brain Sciences · doi:10.3390/brainsci3010159 · Cited by 34
Alhusban, A. A., Hammad, A. M., Alzaghari, L. F., Shallan, A. I., & Shnewer, K. (2022) · Biomedical Chromatography · doi:10.1002/bmc.5513 · Cited by 33
Jørgensen, K. N., Psychol, C., Skjærvø, I., Mørch-Johnsen, L. E., Haukvik, U. K., Lange, E. H., Melle, I. S., Andreassen, O. A., & Agartz, I. (2015) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.140163 · Cited by 32
Low Smoking Exposure, the Adolescent Brain, and the Modulating Role of CHRNA5 Polymorphisms
Chaarani, B., Kan, K.-J., Mackey, S., Spechler, P. A., Potter, A., Orr, C., D’Alberto, N., Hudson, K. E., Banaschewski, T., Bokde, A. L. W., et al. (2019) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.02.006 · Cited by 32
Self-citationNewman‐Norlund, R., Gibson, M., McConnell, P. A., & Froeliger, B. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00260 · Cited by 32
Gilbert, D. G., Zuo, Y., Rabinovich, N. E., Riise, H., Needham, R., & Huggenvik, J. I. (2009) · Journal of Abnormal Psychology · doi:10.1037/a0015382 · Cited by 32
Zsido, A. N., Darnai, G., Inhóf, O., Perlaki, G., Orsi, G., Nagy, S. A., Lábadi, B., Lénárd, K., Kovács, N., Doczi, T. P., et al. (2019) · Journal of Behavioral Addictions · doi:10.1556/2006.8.2019.03 · Cited by 34
Midline brain structures in patients with current and remitted major depression
Takahashi, T., Yücel, M., Lorenzetti, V., Nakamura, K., Whittle, S., Walterfang, M., Suzuki, M., Pantelis, C., & Allen, N. B. (2009) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2009.05.020 · Cited by 30
Deochand, C., Tong, M., Agarwal, A., Cadenas, E., & de la Monte, S. M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150664 · Cited by 30
Altered human brain anatomy in chronic smokers: a review of magnetic resonance imaging studies
Wang, C., Xu, X., Qian, W. P., Shen, Z., & Zhang, M. (2015) · Neurological Sciences · doi:10.1007/s10072-015-2065-9 · Cited by 27
Davis, N. J. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14957 · Cited by 29
Mo, C., Wang, J., Ye, Z., Ke, H., Liu, S., Hatch, K. S., Gao, S., Magidson, J. F., Chen, C., Mitchell, B. D., et al. (2022) · Addiction · doi:10.1111/add.16088 · Cited by 27
Froeliger, B., Modlin, L. A., Kozink, R. V., Wang, L., Garland, E. L., Addicott, M. A., & McClernon, F. J. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2012.05.002 · Cited by 28
Vňuková, M., Ptáček, R., Raboch, J., & Stefano, G. B. (2017) · Medical Science Monitor · doi:10.12659/msm.901870 · Cited by 28
Brain structure and habitat: Do the brains of our children tell us where they have been brought up?
Kühn, S., Banaschewski, T., Bokde, A. L. W., Büchel, C., Quinlan, E. B., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P. A., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117225 · Cited by 30
Self-citationCigarette smoking and progressive brain volume loss in schizophrenia
van Haren, N. E. M., Koolschijn, P. C. M. P., Cahn, W., Schnack, H. G., Pol, H. E. H., & Kahn, R. S. (2010) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2010.02.009 · Cited by 27
Transcranial Direct Current Stimulation and Behavioral Models of Smoking Addiction
Fraser, P. E., & Rosen, A. C. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2012.00079 · Cited by 29
Lie, I. A., Wesnes, K., Kvistad, S. S., Brouwer, I., Wergeland, S., Holmøy, T., Midgard, R., Bru, A., Edland, A., Eikeland, R., et al. (2022) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000200008 · Cited by 25
Voxelwise meta-analysis of gray matter anomalies in chronic cigarette smokers
Zhong, J., Shi, H., Shen, Y., Dai, Z., Zhu, Y., Ma, H., & Sheng, L. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.05.016 · Cited by 26
Altered interhemispheric resting‐state functional connectivity in young male smokers
Yu, D., Yuan, K., Bi, Y., Luo, L., Zhai, J., Liu, B., Li, Y., Cheng, J., Guan, Y., Xue, T., et al. (2017) · Addiction Biology · doi:10.1111/adb.12515 · Cited by 26
Carey, D., Nolan, H., Kenny, R. A., & Meaney, J. F. (2019) · Scientific Reports · doi:10.1038/s41598-019-46481-5 · Cited by 26
A unified framework for association and prediction from vertex‐wise grey‐matter structure
Couvy‐Duchesne, B., Strike, L. T., Zhang, F., Holtz, Y., Zheng, Z., Kemper, K. E., Yengo, L., Olivier Colliot, A., Wright, M. J., Wray, N. R., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25109 · Cited by 23
Substance use and regional gray matter volume in individuals at high risk of psychosis
Stone, J. M., Bhattacharyya, S., Barker, G. J., & McGuire, P. K. (2011) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2011.06.004 · Cited by 25
Shen, Z., Huang, P., Qian, W. P., Wang, C., Yu, H., Yang, Y., & Zhang, M. (2016) · Psychopharmacology · doi:10.1007/s00213-016-4262-5 · Cited by 25
Impact of smoking on neurodegeneration and cerebrovascular disease markers in cognitively normal men
Cho, H., Kim, C., Kim, Y. J., Ye, B. S., Kim, Y. J., Jung, N., Son, T. O., Cho, E. B., Jang, H., Lee, J. H., et al. (2015) · European Journal of Neurology · doi:10.1111/ene.12816 · Cited by 25
Sex differences in the cognitive effects of tobacco abstinence: A pilot study.
Merritt, P. S., Cobb, A. R., & Cook, G. I. (2012) · Experimental and Clinical Psychopharmacology · doi:10.1037/a0027414 · Cited by 25
Common and differential brain abnormalities in gambling disorder subtypes based on risk attitude
Takeuchi, H., Tsurumi, K., Murao, T., Takemura, A., Kawada, R., Urayama, S., Aso, T., Sugihara, G., Miyata, J., Murai, T., et al. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.01.025 · Cited by 27
The application of the two-choice oddball paradigm to the research of behavioral inhibitory control
MengMeng, X. U., Yuan, J., Li, H., & JieMin, Y. A. N. G. (2017) · Scientia Sinica Vitae · doi:10.1360/n052017-00125 · Cited by 26
Neurostimulation techniques in the treatment of nicotine dependence: a review
Rachid, F. (2016) · The American Journal on Addictions · doi:10.1111/ajad.12405 · Cited by 24
Papp-Peka, A., Tong, M., Kril, J. J., de la Monte, S. M., & Sutherland, G. T. (2016) · Alcohol and Alcoholism · doi:10.1093/alcalc/agw067 · Cited by 24
Thalamic glutamate decreases with cigarette smoking
O’Neill, J., Tobias, M. C., Hudkins, M. R., Oh, E. Y., Hellemann, G., Nurmi, E. L., & London, E. D. (2014) · Psychopharmacology · doi:10.1007/s00213-014-3441-5 · Cited by 23
Vulser, H., Wiernik, E., Tartour, É., Thomas, F., Pannier, B., Czernichow, S., Hanon, O., Simon, T., Simon, J.-M., Ducolombier, C., et al. (2015) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000243 · Cited by 25
Nicotine-Derived Compounds as Therapeutic Tools Against Post-Traumatic Stress Disorder
Barreto, G. E., Yarkov, A., Ávila-Rodriguez, M., Aliev, G., & Echeverrı́a, V. (2015) · Current Pharmaceutical Design · doi:10.2174/1381612821666150710145250 · Cited by 23
Chen, Y., Chaudhary, S., Wang, W., & Li, C. R. (2021) · Addiction Neuroscience · doi:10.1016/j.addicn.2021.100003 · Cited by 22
Nuñez, K. M., Kay, J., Krotow, A., Tong, M., Agarwal, A., Cadenas, E., & de la Monte, S. M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150916 · Cited by 22
Neural correlates of 12-h abstinence-induced craving in young adult smokers: a resting-state study
Li, Y., Yuan, K., Bi, Y., Guan, Y., Cheng, J., Zhang, Y., Shi, S., Lu, X., Yu, D., & Tian, J. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9544-3 · Cited by 23
Dissociated Accumbens and Hippocampal Structural Abnormalities across Obesity and Alcohol Dependence
Mole, T. B., Mak, E., Chang-Webb, Y. C., & Voon, V. (2016) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyw039 · Cited by 22
Correlation between pulmonary function and brain volume in healthy elderly subjects
Taki, Y., Kinomura, S., Ebihara, S., Thyreau, B., Sato, K., Goto, R., Kakizaki, M., Tsuji, I., Kawashima, R., & Fukuda, H. (2013) · Neuroradiology · doi:10.1007/s00234-013-1157-6 · Cited by 22
Zanchi, D., Brody, A. L., Montandon, M., Kopel, R., Emmert, K., Preti, M. G., Ville, D. V. D., & Haller, S. (2015) · Addiction Biology · doi:10.1111/adb.12292 · Cited by 22
Graetz, C., Gröger, A., Luessi, F., Salmen, A., Zöller, D., Schultz, J., Siller, N., Fleischer, V., Bellenberg, B., Berthele, A., et al. (2018) · Multiple Sclerosis Journal · doi:10.1177/1352458518763541 · Cited by 21
Brain Gray Matter Volume and Functional Connectivity Are Associated With Smoking Cessation Outcomes
Qian, W. P., Huang, P., Shen, Z., Wang, C., Yang, Y., & Zhang, M. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00361 · Cited by 21
Klugah‐Brown, B., Jiang, C., Agoalikum, E., Zhou, X., Zou, L., Yu, Q., Becker, B., & Biswal, B. B. (2021) · Human Brain Mapping · doi:10.1002/hbm.25471 · Cited by 24
Prom‐Wormley, E. C., MAES, H. H. M., Schmitt, J. E., Panizzon, M. S., Xian, H., Eyler, L. T., Franz, C. E., Lyons, M. J., Tsuang, M. T., Dale, A. M., et al. (2015) · Behavior Genetics · doi:10.1007/s10519-014-9704-4 · Cited by 21
Boer, O. D., Marroun, H. E., & Muetzel, R. L. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02471-2 · Cited by 24
Crespo‐Facorro, B., Roiz‐Santiáñez, R., Quintero, C., Pérez‐Iglesias, R., Tordesillas‐Gutiérrez, D., Mata, I. F., Rodríguez-Sánchez, J. M., Gutiérrez, A., & Vázquez‐Barquero, J. L. (2009) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2009.08.014 · Cited by 20
Neuroadaptation in Nicotine Addiction: Update on the Sensitization-Homeostasis Model
DiFranza, J. R., Huang, W., & King, J. A. (2012) · Brain Sciences · doi:10.3390/brainsci2040523 · Cited by 20
The efficiency of functional brain networks does not differ between smokers and non-smokers
Breckel, T. P. K., Thiel, C. M., & Gießing, C. (2013) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2013.07.005 · Cited by 20
Faulkner, P., Paioni, S. L., Kozhuharova, P., Orlov, N. D., Lythgoe, D. J., Daniju, Y., Morgenroth, E., Barker, H., & Allen, P. (2020) · Addiction Biology · doi:10.1111/adb.12986 · Cited by 20
Decision-making in Polydrug Amphetamine-type Stimulant Users: an fMRI Study
Koester, P., Volz, K. G., Tittgemeyer, M., Wagner, D. R., Becker, B., Gouzoulis‐Mayfrank, E., & Daumann, J. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.43 · Cited by 21
Bu, L., Yu, D., Su, S., Ma, Y., von Deneen, K. M., Luo, L., Zhai, J., Liu, B., Cheng, J., Guan, Y., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00494 · Cited by 19
Exploring Successful Cognitive Aging: Insights Regarding Brain Structure, Function, and Demographics
Xu, X., Lin, L., Wu, S., & Sun, S. (2023) · Brain Sciences · doi:10.3390/brainsci13121651 · Cited by 20
Multimodal evidence of regional midcingulate gray matter volume underlying conflict monitoring
Parvaz, M. A., Maloney, T., Moeller, S. J., Malaker, P., Konova, A. B., Alia‐Klein, N., & Goldstein, R. Z. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.05.011 · Cited by 18
Ventral Striatum Connectivity During Reward Anticipation in Adolescent Smokers
Jollans, L., Zhipeng, C., Icke, I., Greene, C. M., Kelly, C. A. M., Banaschewski, T., Bokde, A. L. W., Bromberg, U., Büchel, C., Cattrell, A., et al. (2016) · Developmental Neuropsychology · doi:10.1080/87565641.2016.1164172 · Cited by 18
Self-citationNeural Markers of Genetic Vulnerability to Drug Addiction
Müller, D. J., Likhodi, O., & Heinz, A. (2009) · Current topics in behavioral neurosciences · doi:10.1007/7854_2009_25 · Cited by 19
Hu, M., Yin, H., Shu, X., Jia, Y., Leng, M., & Chen, L. (2019) · Neurological Sciences · doi:10.1007/s10072-019-03750-5 · Cited by 17
Jaques, J. A. D. S., Ruchel, J. B., Schlemmer, K. B., Pimentel, V. C., Bagatini, M. D., Souza, V. D. C. G., Moretto, M. B., Morsch, V. M., Schetinger, M. R. C., & Leal, D. B. R. (2011) · Cell Biochemistry and Function · doi:10.1002/cbf.1798 · Cited by 17
A magnetic resonance imaging family study of cortical thickness in schizophrenia
Goghari, V. M., Truong, W., & Spilka, M. J. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32354 · Cited by 17
Merritt, P. S., Cobb, A. R., Moissinac, L., & Hirshman, E. (2010) · The Journal of General Psychology · doi:10.1080/00221309.2010.499395 · Cited by 17
Postural Stability in Cigarette Smokers and During Abstinence from Alcohol
Schmidt, T. P., Pennington, D., Durazzo, T. C., & Meyerhoff, D. J. (2014) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.12409 · Cited by 19
The effects of chronic smoking on the pathology of alcohol-related brain damage
McCorkindale, A. N., Sheedy, D. L., Kril, J. J., & Sutherland, G. T. (2016) · Alcohol · doi:10.1016/j.alcohol.2016.04.002 · Cited by 18
Altered function but not structure of the amygdala in nicotine-dependent individuals
Shen, Z., Huang, P., Wang, C., Qian, W. P., Luo, X., Guan, X., Qiu, T., Yang, Y., & Zhang, M. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.11.003 · Cited by 17
Prom‐Wormley, E. C., MAES, H. H. M., Schmitt, J. E., Panizzon, M. S., Xian, H., Eyler, L. T., Franz, C. E., Lyons, M. J., Tsuang, M. T., Dale, A. M., et al. (2016) · Behavior Genetics · doi:10.1007/s10519-016-9793-3 · Cited by 18
Wang, C., Huang, P., Shen, Z., Qian, W., Li, K., Luo, X., Zeng, Q., Guo, T., Yu, H., Yang, Y., et al. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2018.12.013 · Cited by 16
Zhao, X., Ting, L. X., Yi, Z. X., Dai, L., & Bao, Z. A. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01506 · Cited by 16
Metadata
- Authors
- Gallinat, J., Meisenzahl, E., Jacobsen, L. K., Kalus, P., Bierbrauer, J., Kienast, T., Witthaus, H., Leopold, K., Seifert, F., Schubert, F., & Staedtgen, M.
- Affiliations
- St. Hedwig-Krankenhaus (DE)
- Ludwig-Maximilians-Universität München (DE)
- Yale University (US)
- Physikalisch-Technische Bundesanstalt (DE)
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 2006-09
- Volume
- 24
- Issue
- 6
- Pages
- 1744-1750
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- OpenAlex
- W2166367939
- Cited by
- 330
- References
- 87
- Citations by year
- 2026: 2 · 2025: 13 · 2024: 8 · 2023: 10 · 2022: 13 · 2021: 16 · 2020: 17 · 2019: 14 · 2018: 16 · 2017: 23 · 2016: 35 · 2015: 29 · 2014: 24 · 2013: 21 · 2012: 23
- FWCI
- 5.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Funders
- Bundesministerium für Bildung und Forschung
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nicotinic Acetylcholine Receptors Study
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Substance Exposure Effects
- Keywords
- cigarette smoking, nicotine, brain structure, gray matter volume, gray matter density, frontal lobe, temporal lobe, parahippocampal gyrus, thalamus, cerebellum, substantia nigra, pack-years, cognitive impairment
- MeSH terms
- Adult, Brain Mapping, Cerebral Cortex, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Smoking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review