@article{6252f54785b54706bd92fc0580106c4e,
title = "Naltrexone ameliorates functional network abnormalities in alcohol-dependent individuals",
keywords = "Addiction, alcohol, cocaine, naltrexone, opiate, substance use",
author = "{ICCAM Consortium} and Morris, {Laurel S.} and Kwangyeol Baek and Roger Tait and Rebecca Elliott and Ersche, {Karen D.} and Remy Flechais and John McGonigle and Anna Murphy and Nestor, {Liam J.} and Csaba Orban and Filippo Passetti and Paterson, {Louise M.} and Ilan Rabiner and Laurence Reed and Dana Smith and John Suckling and Taylor, {Eleanor M.} and Bullmore, {Edward T.} and Lingford-Hughes, {Anne R.} and Bill Deakin and Nutt, {David J.} and Sahakian, {Barbara J.} and Robbins, {Trevor W.} and Valerie Voon",
note = "Funding Information: The research was supported by the NIHR CRF at Imperial College Healthcare NHS Trust, the NIHR/Wellcome Trust Cambridge Research Facility and Clinical Trials Unit at Salford Royal NHS Foundation Trust. The study is supported by the North West London, Eastern and Greater Manchester NIHR Clinical Research Networks. The views expressed are those of the author(s) and not necessarily those of the Medical Research Council, the NHS, the NIHR or the Department of Health. Funding Information: ICCAM platform collaborators are as follows: David Nutt, Anne Lingford-Hughes, Louise Paterson, John McGonigle, Remy Flechais, Csaba Orban, JF William Deakin, Rebecca Elliott, Anna Murphy, Eleanor Taylor, Trevor Robbins, Karen Ersche, John Suckling, Dana Smith, Laurence Reed, Filippo Passetti, Luca Faravelli, David Erritzoe, Inge Mick, Nicola Kalk, Adam Waldman, Liam Nestor, Shankar Kuchibatla, Venkataramana Boyapati, Antonio Metastasio, Yetunde Faluyi, Emilio Fernandez-Egea, Sanja Abbott, Barbara Sahakian, Valerie Voon and Ilan Rabiner. The authors thank the following research assistants for their help with data collection: Claire Whitelock, Heather Agyepong, Rania Christoforou and Natalie Cuzen. The authors thank Dr Sharon Morein-Zamir for her help with data extraction from reinforced GoNogo task, MR physicist Rex Newbould and MR technician Jonathan Howard for their assistance with MR acquisition and task set-up. The authors also thank the recruitment partners: Imperial College Healthcare NHS Trust, Central and North West London NHS Trust, Camden and Islington NHS Trust, Cambridge University Hospitals NHS Foundation Trust, Norfolk and Suffolk NHS Foundation Trust, Cambridge and Peterborough NHS Foundation Trust, South Staffordshire and Shropshire NHS Foundation Trust, Manchester Mental Health NHS and Social Care Trust, Greater Manchester West NHS Foundation Trust, Pennine Care NHS Foundation Trust, Salford Royal NHS Foundation Trust, Addaction, Foundation 66 and Crime Reduction Initiative. Funding Information: The following financial support was received for the research, authorship and/or publication of this article: independent research funded by the MRC as part of the addiction initiative (grant number G1000018); GSK funded the functional and structural MRI scans at Imperial College. Funding Information: JF William Deakin currently advises or carries out research funded by Autifony, Sunovion, Lundbeck, AstraZeneca and Servier. All payment is to the University of Manchester. Anne Lingford-Hughes has received honoraria from Lundbeck and research support from GSK for a PhD studentship. Liam Nestor was employed by GSK during some of this work. John Suckling has received research support from GSK. Barbara J Sahakian consults for Cambridge Cognition, Peak (Brainbow), and Servier, Otsuka and Lundbeck. She holds a grant from Janssen/J&J. She holds shares in CeNeS and share options in Cambridge Cognition. The remaining authors declare no potential conflicts of interest. Publisher Copyright: {\textcopyright} 2017 The Authors. Addiction Biology published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction",
year = "2018",
month = jan,
doi = "10.1111/adb.12503",
language = "English",
volume = "23",
pages = "425--436",
journal = "Addiction Biology",
issn = "1355-6215",
publisher = "Wiley Open Access",
number = "1",
}