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  Loss of brain graph network efficiency in alcohol dependence

Sjoerds, Z., Stufflebeam, S. M., Veltman, D. J., Van den Brink, W., Penninx, B. W. J. H., & Douw, L. (2017). Loss of brain graph network efficiency in alcohol dependence. Addiction Biology, 22(2), 523-534. doi:10.1111/adb.12346.

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 Creators:
Sjoerds, Zsuzsika1, 2, Author           
Stufflebeam, Steven M. 2, Author
Veltman, Dick J. 2, Author
Van den Brink, Wim 2, Author
Penninx, Brenda W. J. H. 2, Author
Douw, Linda2, Author
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2External Organizations, ou_persistent22              

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Free keywords: Alcohol dependence; brain network; functional connectivity; graph theory; resting-state fMRI; striatum
 Abstract: Alcohol dependence (AD) is characterized by corticostriatal impairments in individual brain areas such as the striatum. As yet however, complex brain network topology in AD and its association with disease progression are unknown. We applied graph theory to resting‐state functional magnetic resonance imaging (RS‐fMRI) to examine weighted global efficiency and local (clustering coefficient, degree and eigenvector centrality) network topology and the functional role of the striatum in 24 AD patients compared with 20 matched healthy controls (HCs), and their association with dependence characteristics. Graph analyses were performed based on Pearson's correlations between RS‐fMRI time series, while correcting for age, gender and head motion. We found no significant group differences between AD patients and HCs in network topology. Notably, within the patient group, but not in HCs, the whole‐brain network showed reduced average cluster coefficient with more severe alcohol use, whereas longer AD duration within the patient group was associated with a global decrease in efficiency, degree and clustering coefficient. Additionally, within four a‐priori chosen bilateral striatal nodes, alcohol use severity was associated with lower clustering coefficient in the left caudate. Longer AD duration was associated with reduced clustering coefficient in caudate and putamen, and reduced degree in bilateral caudate, but with increased eigenvector centrality in left posterior putamen. Especially changes in global network topology and clustering coefficient in anterior striatum remained strikingly robust after exploratory variations in network weight. Our results show adverse effects of AD on overall network integration and possibly on striatal efficiency, putatively contributing to the increasing behavioral impairments seen in chronically addicted patients.

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Language(s): eng - English
 Dates: 2015-11-062015-07-282015-11-112015-12-222017-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1111/adb.12346
PMC: PMC4917471
PMID: 26692359
Other: Epub 2015
 Degree: -

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Project name : -
Grant ID : 31160004
Funding program : -
Funding organization : Netherlands Organization for Health Research and Development (ZonMw)
Project name : -
Grant ID : EXA1301
Funding program : Exchange Award
Funding organization : European Foundation for Alcohol Research (ERAB)
Project name : -
Grant ID : 825.11.002
Funding program : Rubicon grant
Funding organization : Netherlands Organisation for Scientific Research (NWO)
Project name : -
Grant ID : 31160004
Funding program : Veni grant
Funding organization : Netherlands Organization for Health Research and Development (ZonMw)
Project name : -
Grant ID : -
Funding program : Branco Weiss Fellowship - Society in Science
Funding organization : ETH Zurich

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Title: Addiction Biology
  Other : Addict. Biol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Abingdon, Oxfordshire, UK : Carfax
Pages: - Volume / Issue: 22 (2) Sequence Number: - Start / End Page: 523 - 534 Identifier: ISSN: 1355-6215
CoNE: https://pure.mpg.de/cone/journals/resource/954925277561