TY - JOUR
T1 - Disturbances across whole brain networks during reward anticipation in an abstinent addiction population
AU - ICCAM Consortium
AU - Nestor, Liam J.
AU - Suckling, John
AU - Ersche, Karen D.
AU - Murphy, Anna
AU - McGonigle, John
AU - Orban, Csaba
AU - Paterson, Louise M.
AU - Reed, Laurence
AU - Taylor, Eleanor
AU - Flechais, Remy
AU - Smith, Dana
AU - Bullmore, Edward T.
AU - Elliott, Rebecca
AU - Deakin, Bill
AU - Rabiner, Ilan
AU - Hughes, Anne Lingford
AU - Sahakian, Barbara J.
AU - Robbins, Trevor W.
AU - Nutt, David J.
N1 - Funding Information:
ICCAM platform collaborators: David J Nutt, Anne Lingford-Hughes, Louise M Paterson, John McGonigle, Remy Flechais, Csaba Orban, William Deakin, Rebecca Elliott, Anna Murphy, Eleanor Taylor, Trevor W Robbins, Karen D Ersche, Edward T Bullmore, John Suckling, Dana Smith, Laurence Reed, Filippo Passetti, Luca Faravelli, David Erritzoe, Inge Mick, Nicola Kalk, Adam Waldman, Liam J Nestor, Shankar Kuchibatla, Venkataramana Boyapati, Antonio Metastasio, Yetunde Faluyi, Emilio Fernandez-Egea, Sanja Abbott, Barbara J Sahakian, Valerie Voon, Ilan Rabiner. The research was carried out at the NIHR/Wellcome Trust Imperial Clinical Research Facility, the NIHR/Wellcome Trust Cambridge Research Facility and Clinical Trials Unit at Salford Royal NHS Foundation Trust, and is supported by the North West London, Eastern and Greater Manchester NIHR Clinical Research Networks. This article presents independent research funded by the Medical Research Council and supported by the NIHR CRF at Imperial College Healthcare NHS Trust. 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. The authors wish to thank research assistants Claire Whitelock, Heather Agyepong, Rania Christoforou and Natalie Cuzen for their help with data collection; Dr Sharon Morein-Zamir for her help with data extraction; MR physicist Rex Newbould and MR technician, Jonathan Howard for their assistance with MR acquisition and task set-up. The authors also wish to thank their 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 CRI (Crime Reduction Initiative). Trevor W Robbins, Barbara J Sahakian, John Suckling, Edward T Bullmore and Karen D Ersche also acknowledge the NIHR Cambridge Biomedical Research Centre (Mental Health Theme).
Funding Information:
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This article presents independent research funded by the MRC as part of their addiction initiative (grant number G1000018). GSK kindly funded the functional and structural MRI scans that took place at the London site for this study.
Funding Information:
ICCAM platform collaborators: David J Nutt, Anne Lingford-Hughes, Louise M Paterson, John McGonigle, Remy Flechais, Csaba Orban, William Deakin, Rebecca Elliott, Anna Murphy, Eleanor Taylor, Trevor W Robbins, Karen D Ersche, Edward T Bullmore, John Suckling, Dana Smith, Laurence Reed, Filippo Passetti, Luca Faravelli, David Erritzoe, Inge Mick, Nicola Kalk, Adam Waldman, Liam J Nestor, Shankar Kuchibatla, Venkataramana Boyapati, Antonio Metastasio, Yetunde Faluyi, Emilio Fernandez-Egea, Sanja Abbott , Barbara J Sahakian, Valerie Voon, Ilan Rabiner. The research was carried out at the NIHR/ Wellcome Trust Imperial Clinical Research Facility, the NIHR/ Wellcome Trust Cambridge Research Facility and Clinical Trials Unit at Salford Royal NHS Foundation Trust , and is supported by the North West London, Eastern and Greater Manchester NIHR Clinical Research Networks. This article presents independent research funded by the Medical Research Council and supported by the NIHR CRF at Imperial College Healthcare NHS Trust . 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 . The authors wish to thank research assistants Claire Whitelock, Heather Agyepong, Rania Christoforou and Natalie Cuzen for their help with data collection; Dr Sharon Morein-Zamir for her help with data extraction; MR physicist Rex Newbould and MR technician, Jonathan Howard for their assistance with MR acquisition and task set-up. The authors also wish to thank their 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 CRI (Crime Reduction Initiative). Trevor W Robbins, Barbara J Sahakian, John Suckling, Edward T Bullmore and Karen D Ersche also acknowledge the NIHR Cambridge Biomedical Research Centre (Mental Health Theme).
Funding Information:
William Deakin currently advises or carries out research funded by Autifony, Sunovion, Lundbeck, AstraZeneca and Servier. All payment is to the University of Manchester.
Publisher Copyright:
© 2020 The Author(s)
PY - 2020
Y1 - 2020
N2 - The prevalent spatial distribution of abnormalities reported in cognitive fMRI studies in addiction suggests there are extensive disruptions across whole brain networks. Studies using resting state have reported disruptions in network connectivity in addiction, but these studies have not revealed characteristics of network functioning during critical psychological processes that are disrupted in addiction populations. Analytic methods that can capture key features of whole brain networks during psychological processes may be more sensitive in revealing additional and widespread neural disturbances in addiction, that are the provisions for relapse risk, and targets for medication development. The current study compared a substance addiction (ADD; n = 83) group in extended abstinence with a control (CON; n = 68) group on functional MRI (voxel-wise activation) and global network (connectivity) measures related to reward anticipation on a monetary incentive delay task. In the absence of group differences on MID performance, the ADD group showed reduced activation predominantly across temporal and visual regions, but not across the striatum. The ADD group also showed disruptions in global network connectivity (lower clustering coefficient and higher characteristic path length), and significantly less connectivity across a sub-network comprising frontal, temporal, limbic and striatal nodes. These results show that an addiction group in extended abstinence exhibit localised disruptions in brain activation, but more extensive disturbances in functional connectivity across whole brain networks. We propose that measures of global network functioning may be more sensitive in highlighting latent and more widespread neural disruptions during critical psychological processes in addiction and other psychiatric disorders.
AB - The prevalent spatial distribution of abnormalities reported in cognitive fMRI studies in addiction suggests there are extensive disruptions across whole brain networks. Studies using resting state have reported disruptions in network connectivity in addiction, but these studies have not revealed characteristics of network functioning during critical psychological processes that are disrupted in addiction populations. Analytic methods that can capture key features of whole brain networks during psychological processes may be more sensitive in revealing additional and widespread neural disturbances in addiction, that are the provisions for relapse risk, and targets for medication development. The current study compared a substance addiction (ADD; n = 83) group in extended abstinence with a control (CON; n = 68) group on functional MRI (voxel-wise activation) and global network (connectivity) measures related to reward anticipation on a monetary incentive delay task. In the absence of group differences on MID performance, the ADD group showed reduced activation predominantly across temporal and visual regions, but not across the striatum. The ADD group also showed disruptions in global network connectivity (lower clustering coefficient and higher characteristic path length), and significantly less connectivity across a sub-network comprising frontal, temporal, limbic and striatal nodes. These results show that an addiction group in extended abstinence exhibit localised disruptions in brain activation, but more extensive disturbances in functional connectivity across whole brain networks. We propose that measures of global network functioning may be more sensitive in highlighting latent and more widespread neural disruptions during critical psychological processes in addiction and other psychiatric disorders.
UR - http://www.scopus.com/inward/record.url?scp=85085743109&partnerID=8YFLogxK
U2 - 10.1016/j.nicl.2020.102297
DO - 10.1016/j.nicl.2020.102297
M3 - Article
C2 - 32505119
AN - SCOPUS:85085743109
SN - 2213-1582
VL - 27
JO - NeuroImage: Clinical
JF - NeuroImage: Clinical
M1 - 102297
ER -
