Decreased brain connectivity in smoking contrasts with increased connectivity in drinking
In a group of 831 participants from the general population in the Human Connectome Project, smokers exhibited low overall functional connectivity, and more specifically of the lateral orbitofrontal cortex which is associated with non-reward mechanisms, the adjacent inferior frontal gyrus, and the pr...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2019-01-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/40765 |
| _version_ | 1811227826870812672 |
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| author | Wei Cheng Edmund T Rolls Trevor W Robbins Weikang Gong Zhaowen Liu Wujun Lv Jingnan Du Hongkai Wen Liang Ma Erin Burke Quinlan Hugh Garavan Eric Artiges Dimitri Papadopoulos Orfanos Michael N Smolka Gunter Schumann Keith Kendrick Jianfeng Feng |
| author_facet | Wei Cheng Edmund T Rolls Trevor W Robbins Weikang Gong Zhaowen Liu Wujun Lv Jingnan Du Hongkai Wen Liang Ma Erin Burke Quinlan Hugh Garavan Eric Artiges Dimitri Papadopoulos Orfanos Michael N Smolka Gunter Schumann Keith Kendrick Jianfeng Feng |
| author_sort | Wei Cheng |
| collection | DOAJ |
| description | In a group of 831 participants from the general population in the Human Connectome Project, smokers exhibited low overall functional connectivity, and more specifically of the lateral orbitofrontal cortex which is associated with non-reward mechanisms, the adjacent inferior frontal gyrus, and the precuneus. Participants who drank a high amount had overall increases in resting state functional connectivity, and specific increases in reward-related systems including the medial orbitofrontal cortex and the cingulate cortex. Increased impulsivity was found in smokers, associated with decreased functional connectivity of the non-reward-related lateral orbitofrontal cortex; and increased impulsivity was found in high amount drinkers, associated with increased functional connectivity of the reward-related medial orbitofrontal cortex. The main findings were cross-validated in an independent longitudinal dataset with 1176 participants, IMAGEN. Further, the functional connectivities in 14-year-old non-smokers (and also in female low-drinkers) were related to who would smoke or drink at age 19. An implication is that these differences in brain functional connectivities play a role in smoking and drinking, together with other factors. |
| first_indexed | 2024-04-12T09:48:29Z |
| format | Article |
| id | doaj.art-387a371585bc4c5bb194046579078460 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T09:48:29Z |
| publishDate | 2019-01-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-387a371585bc4c5bb1940465790784602022-12-22T03:37:53ZengeLife Sciences Publications LtdeLife2050-084X2019-01-01810.7554/eLife.40765Decreased brain connectivity in smoking contrasts with increased connectivity in drinkingWei Cheng0https://orcid.org/0000-0003-1118-1743Edmund T Rolls1https://orcid.org/0000-0003-3025-1292Trevor W Robbins2Weikang Gong3Zhaowen Liu4Wujun Lv5Jingnan Du6Hongkai Wen7Liang Ma8Erin Burke Quinlan9Hugh Garavan10Eric Artiges11Dimitri Papadopoulos Orfanos12https://orcid.org/0000-0002-1242-8990Michael N Smolka13Gunter Schumann14Keith Kendrick15https://orcid.org/0000-0002-0371-5904Jianfeng Feng16https://orcid.org/0000-0001-5987-2258Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China; Department of Computer Science, University of Warwick, Coventry, United KingdomInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China; Department of Computer Science, University of Warwick, Coventry, United Kingdom; Oxford Centre for Computational Neuroscience, Oxford, United KingdomBehavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom; Department of Psychology, University of Cambridge, Cambridge, United KingdomInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China; University of Chinese Academy of Sciences, Beijing, ChinaSchool of Computer Science and Technology, Xidian University, Xi’an, ChinaSchool of Mathematics, Shanghai University Finance and Economics, Shanghai, ChinaInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, ChinaDepartment of Computer Science, University of Warwick, Coventry, United KingdomBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, ChinaCentre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United KingdomDepartment of Psychiatry, University of Vermont, Vermont, United States; Department of Psychiatry Psychology, University of Vermont, Vermont, United StatesInstitut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 'Neuroimaging & Psychiatry', University Paris Sud – Paris Saclay, University Paris Descartes, Service Hospitalier Frédéric Joliot and GH Nord Essonne Psychiatry Department 91G16, Orsay, FranceNeuroSpin CEA, Université Paris-Saclay, Gif-sur-Yvette, FranceDepartment of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, GermanyCentre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United KingdomKey Laboratory for Neuroinformation of the Ministry of Education, School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaInstitute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China; Department of Computer Science, University of Warwick, Coventry, United Kingdom; School of Mathematical Sciences and Centre for Computational Systems Biology, Fudan University, Shanghai, ChinaIn a group of 831 participants from the general population in the Human Connectome Project, smokers exhibited low overall functional connectivity, and more specifically of the lateral orbitofrontal cortex which is associated with non-reward mechanisms, the adjacent inferior frontal gyrus, and the precuneus. Participants who drank a high amount had overall increases in resting state functional connectivity, and specific increases in reward-related systems including the medial orbitofrontal cortex and the cingulate cortex. Increased impulsivity was found in smokers, associated with decreased functional connectivity of the non-reward-related lateral orbitofrontal cortex; and increased impulsivity was found in high amount drinkers, associated with increased functional connectivity of the reward-related medial orbitofrontal cortex. The main findings were cross-validated in an independent longitudinal dataset with 1176 participants, IMAGEN. Further, the functional connectivities in 14-year-old non-smokers (and also in female low-drinkers) were related to who would smoke or drink at age 19. An implication is that these differences in brain functional connectivities play a role in smoking and drinking, together with other factors.https://elifesciences.org/articles/40765smokingdrinkingorbitofrontal corteximpulsivityfunctional connectivityaddiction |
| spellingShingle | Wei Cheng Edmund T Rolls Trevor W Robbins Weikang Gong Zhaowen Liu Wujun Lv Jingnan Du Hongkai Wen Liang Ma Erin Burke Quinlan Hugh Garavan Eric Artiges Dimitri Papadopoulos Orfanos Michael N Smolka Gunter Schumann Keith Kendrick Jianfeng Feng Decreased brain connectivity in smoking contrasts with increased connectivity in drinking eLife smoking drinking orbitofrontal cortex impulsivity functional connectivity addiction |
| title | Decreased brain connectivity in smoking contrasts with increased connectivity in drinking |
| title_full | Decreased brain connectivity in smoking contrasts with increased connectivity in drinking |
| title_fullStr | Decreased brain connectivity in smoking contrasts with increased connectivity in drinking |
| title_full_unstemmed | Decreased brain connectivity in smoking contrasts with increased connectivity in drinking |
| title_short | Decreased brain connectivity in smoking contrasts with increased connectivity in drinking |
| title_sort | decreased brain connectivity in smoking contrasts with increased connectivity in drinking |
| topic | smoking drinking orbitofrontal cortex impulsivity functional connectivity addiction |
| url | https://elifesciences.org/articles/40765 |
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