Mapping cortical and subcortical asymmetries in substance dependence: Findings from the ENIGMA Addiction Working Group

Z Cao; J Ottino-Gonzalez; RB Cupertino; N Schwab; C Hoke; O Catherine; J Cousijn; A Dagher; JJ Foxe; AE Goudriaan; R Hester; K Hutchison; CSR Li; ED London; V Lorenzetti; M Luijten; R Martin-Santos; R Momenan; MP Paulus; L Schmaal; R Sinha; Z Sjoerds; N Solowij; DJ Stein; EA Stein; A Uhlmann; RJ van Holst; DJ Veltman; RW Wiers; M Yücel; S Zhang; N Jahanshad; PM Thompson; P Conrod; S Mackey; H Garavan

Journal article

Mapping cortical and subcortical asymmetries in substance dependence: Findings from the ENIGMA Addiction Working Group

Z Cao, J Ottino-Gonzalez, RB Cupertino, N Schwab, C Hoke, O Catherine, J Cousijn, A Dagher, JJ Foxe, AE Goudriaan, R Hester, K Hutchison, CSR Li, ED London, V Lorenzetti, M Luijten, R Martin-Santos, R Momenan, MP Paulus, L Schmaal Show all

Addiction Biology | WILEY | Published : 2021

DOI: 10.1111/adb.13010

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Abstract

Brain asymmetry reflects left-right hemispheric differentiation, which is a quantitative brain phenotype that develops with age and can vary with psychiatric diagnoses. Previous studies have shown that substance dependence is associated with altered brain structure and function. However, it is unknown whether structural brain asymmetries are different in individuals with substance dependence compared with nondependent participants. Here, a mega-analysis was performed using a collection of 22 structural brain MRI datasets from the ENIGMA Addiction Working Group. Structural asymmetries of cortical and subcortical regions were compared between individuals who were dependent on alcohol, nicotine..

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University of Melbourne Researchers

Rob Hester Author

Lianne Schmaal Author

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Grants

Awarded by Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Funding Acknowledgements

National Institute of Mental Health, Grant/Award Number: R01DA018307; National Institute on Alcohol Abuse and Alcoholism, Grant/Award Number: R01AA013892; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Grant/Award Numbers: VICI grant 453.08.01, VIDI grant 016.08.322, ZonMW grant 31160003, ZonMW grant 31160004, ZonMW grant 31180002, ZonMW grant 91676084; U.S. NIH National Center for Research Resources, Grant/Award Number: UL1-RR24925-01; Big Data to Knowledge (BD2K), Grant/Award Numbers: R01 MH111671, P41 EB015922, R01 MH116147; David Winston Turner Endowment Fund; National Health and Medical Research Council Fellowship, Grant/Award Number: 1117188; Australian Research Council Future Fellowship, Grant/Award Number: FT110100752; Clive and Vera Ramaciotti Foundation for Biomedical Research National and Health and Medical Research Council Project, Grant/Award Number: 459111; NIAAA, Grant/Award Number: R01-AA013892; NIMH, Grant/Award Number: R01 DA018307; UCLA, Grant/Award Number: 20063287; NIH, Grant/Award Numbers: R01MH116147, P41EB015922, R01MH121246, R01AG059874, R01MH117601, U54 EB020403, R21DA045189, R21DA044749, R01DA023248, R01AA021449; Netherlands Organization for Health Research and Development (ZonMW), Grant/Award Numbers: 31180002, 91676084, 31160004, 31160003; Netherlands Organization for Scientific Research (NWO), Grant/Award Numbers: 016.08.322, 453.08.01; NIDA, Grant/Award Numbers: PL30-1DA024859-01, R01 DA020726, K25DA040032, R01-DA014100, R01DA047119