TY - JOUR
T1 - Association between vmPFC gray matter volume and smoking initiation in adolescents
AU - IMAGEN Consortium
AU - Xiang, Shitong
AU - Jia, Tianye
AU - Xie, Chao
AU - Cheng, Wei
AU - Chaarani, Bader
AU - Banaschewski, Tobias
AU - Barker, Gareth J
AU - Bokde, Arun L W
AU - Büchel, Christian
AU - Desrivières, Sylvane
AU - Flor, Herta
AU - Grigis, Antoine
AU - Gowland, Penny A
AU - Brühl, Rüdiger
AU - Martinot, Jean-Luc
AU - Martinot, Marie-Laure Paillère
AU - Nees, Frauke
AU - Orfanos, Dimitri Papadopoulos
AU - Poustka, Luise
AU - Hohmann, Sarah
AU - Fröhner, Juliane H
AU - Smolka, Michael N
AU - Vaidya, Nilakshi
AU - Walter, Henrik
AU - Whelan, Robert
AU - Garavan, Hugh
AU - Schumann, Gunter
AU - Sahakian, Barbara J
AU - Robbins, Trevor W
AU - Feng, Jianfeng
N1 - Funding Information:
We thank Professor David Nutt and Professor Stephan Ripke for their helpful comments on the manuscript. We thank the IMAGEN Consortium for providing the discover data. This work received support from the following sources: National Key R and D Program of China (2021YFC2501402 [to T.J.], 2022CSJGG1000 [to T.J.], 2019YFA0709501 [to T.J.], 2019YFA0709502 [to J.F.], 2018YFC1312900 [to T.J.] and 2018YFC1312904 [to J.F.]), the National Natural Science Foundation of China (T2122005 [to T.J.], 82150710554 [to G.S.] and 81801773 [to T.J.]), the Shanghai Pujiang Project (18PJ1400900 [to T.J.]), Guangdong Key Research and Development Project (2018B030335001 [to J.F.]), the European Union-funded FP6 Integrated Project IMAGEN (Reinforcement-related behaviour in normal brain function and psychopathology) (LSHM-CT- 2007-037286 [to G.S.]), the 111 Project (B18015 [to J.F.]), the key project of Shanghai Science and Technology (16JC1420402 [to J.F.]), Shanghai Municipal Science and Technology Major Project (2018SHZDZX01 [to J.F.]), Zhangjiang Lab [to J.F.], Shanghai Center for Brain Science and Brain-Inspired Technology [to J.F.], the European Research Area Network on Illicit Drugs (ERANID) (Understanding the Interplay between Cultural, Biological and Subjective Factors in Drug Use Pathways, PR-ST-0416-10004 [to G.S.]), Human Brain Project (HBP SGA 2, 785907, and HBP SGA 3, 945539 [to G.S.]), the Medical Research Council Grant ‘c-VEDA’ (Consortium on Vulnerability to Externalizing Disorders and Addictions, MR/N000390/1 [to G.S.]), the National Institute of Health (NIH) (A decentralized macro and micro gene-by-environment interaction analysis of substance use behavior and its brain biomarkers, R01DA049238 [to G.S.]), the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, the Bundesministeriumfür Bildung und Forschung (BMBF grants 01GS08152; 01EV0711 [to G.S.]; the European Union and UKRI funded project ‘environMENTAL’ (grants 101057429 [to G.S.] and 10038599 [to S.D.]); Forschungsnetz AERIAL 01EE1406A, 01EE1406B and Forschungsnetz IMAC-Mind 01GL1745B [to G.S.]), the Medical Research Foundation and Medical Research Council (grants MR/R00465X/1, MR/S020306/1 and MRF-058-0009-RG-DESR-C0759 [to S.D.]), the National Institutes of Health (NIH) funded ENIGMA (grants 5U54EB020403-05 and 1R56AG058854-01 [to S.D.]). Further support was provided by grants from: - the ANR (ANR-12-SAMA-0004 [to M.-L.P.M.], AAPG2019 – GeBra [to J.-L.M.]), the Eranet Neuron (AF12-NEUR0008-01 - WM2NA; and ANR-18-NEUR00002-01 – ADORe [to J.-L.M.]), the Fondation de France (00081242 [to J.-L.M.]), the Fondation pour la Recherche Médicale (DPA20140629802 [to J.-L.M.]), the Mission Interministérielle de Lutte-contre-les-Drogues-et-les-Conduites-Addictives (MILDECA [to J.-L.M.]), the Assistance-Publique-Hôpitaux-de-Paris and INSERM (interface grant [to M.-L.P.M.]), Paris Sud University IDEX 2012 [to J.-L.M.], the Fondation de l’Avenir (grant AP-RM-17-013 [to M.-L.P.M.]), the Fédération pour la Recherche sur le Cerveau; the National Institutes of Health, Science Foundation Ireland (16/ERCD/3797 [to R.W.]). The views expressed in this article are those of the authors and not necessarily those of the national funding agencies or ERANID.
Publisher Copyright:
© 2023, Springer Nature Limited.
PY - 2023/8/15
Y1 - 2023/8/15
N2 - Smoking of cigarettes among young adolescents is a pressing public health issue. However, the neural mechanisms underlying smoking initiation and sustenance during adolescence, especially the potential causal interactions between altered brain development and smoking behaviour, remain elusive. Here, using large longitudinal adolescence imaging genetic cohorts, we identify associations between left ventromedial prefrontal cortex (vmPFC) gray matter volume (GMV) and subsequent self-reported smoking initiation, and between right vmPFC GMV and the maintenance of smoking behaviour. Rule-breaking behaviour mediates the association between smaller left vmPFC GMV and smoking behaviour based on longitudinal cross-lagged analysis and Mendelian randomisation. In contrast, smoking behaviour associated longitudinal covariation of right vmPFC GMV and sensation seeking (especially hedonic experience) highlights a potential reward-based mechanism for sustaining addictive behaviour. Taken together, our findings reveal vmPFC GMV as a possible biomarker for the early stages of nicotine addiction, with implications for its prevention and treatment.
AB - Smoking of cigarettes among young adolescents is a pressing public health issue. However, the neural mechanisms underlying smoking initiation and sustenance during adolescence, especially the potential causal interactions between altered brain development and smoking behaviour, remain elusive. Here, using large longitudinal adolescence imaging genetic cohorts, we identify associations between left ventromedial prefrontal cortex (vmPFC) gray matter volume (GMV) and subsequent self-reported smoking initiation, and between right vmPFC GMV and the maintenance of smoking behaviour. Rule-breaking behaviour mediates the association between smaller left vmPFC GMV and smoking behaviour based on longitudinal cross-lagged analysis and Mendelian randomisation. In contrast, smoking behaviour associated longitudinal covariation of right vmPFC GMV and sensation seeking (especially hedonic experience) highlights a potential reward-based mechanism for sustaining addictive behaviour. Taken together, our findings reveal vmPFC GMV as a possible biomarker for the early stages of nicotine addiction, with implications for its prevention and treatment.
KW - Humans
KW - Adolescent
KW - Gray Matter/diagnostic imaging
KW - Magnetic Resonance Imaging/methods
KW - Prefrontal Cortex/diagnostic imaging
KW - Smoking/adverse effects
KW - Tobacco Use Disorder
KW - Brain
UR - http://www.scopus.com/inward/record.url?scp=85168059631&partnerID=8YFLogxK
U2 - 10.1038/s41467-023-40079-2
DO - 10.1038/s41467-023-40079-2
M3 - Article
C2 - 37582920
SN - 2041-1723
VL - 14
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 4684
ER -