Abnormalities of Functional Brain Networks in Pathological Gambling: A Graph-Theoretical Approach

Functional neuroimaging studies of pathological gambling demonstrate alterations in frontal and subcortical regions of the mesolimbic reward system. However, most investigations were performed using tasks involving reward processing or executive functions. Little is known about brain network abnorma...

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Main Authors: Melanie eTschernegg, Julia Sophia eCrone, Tina eEigenberger, Philipp eSchwartenbeck, Mira eFauth-Bühler, Tagrid eLeménager, Karl eMann, Natasha eThon, Friedrich M Wurst, Martin eKronbichler
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-09-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00625/full
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author Melanie eTschernegg
Julia Sophia eCrone
Tina eEigenberger
Philipp eSchwartenbeck
Philipp eSchwartenbeck
Mira eFauth-Bühler
Tagrid eLeménager
Karl eMann
Natasha eThon
Friedrich M Wurst
Martin eKronbichler
Martin eKronbichler
author_facet Melanie eTschernegg
Julia Sophia eCrone
Tina eEigenberger
Philipp eSchwartenbeck
Philipp eSchwartenbeck
Mira eFauth-Bühler
Tagrid eLeménager
Karl eMann
Natasha eThon
Friedrich M Wurst
Martin eKronbichler
Martin eKronbichler
author_sort Melanie eTschernegg
collection DOAJ
description Functional neuroimaging studies of pathological gambling demonstrate alterations in frontal and subcortical regions of the mesolimbic reward system. However, most investigations were performed using tasks involving reward processing or executive functions. Little is known about brain network abnormalities during task-free resting state in pathological gambling. In the present study, graph-theoretical methods were used to investigate network properties of resting state functional MRI data in pathological gambling. We compared 19 patients with pathological gambling to 19 healthy controls using the Graph Analysis Toolbox (GAT). None of the examined global metrics differed between groups. At the nodal level, pathological gambler showed a reduced clustering coefficient in the left paracingulate cortex and the left juxtapositional lobe (SMA), reduced local efficiency in the left SMA, as well as an increased node betweenness for the left and right paracingulate cortex and the left SMA. At an uncorrected threshold level, the node betweenness in the left inferior frontal gyrus was decreased and increased in the caudate. Additionally, increased functional connectivity between fronto-striatal regions and within frontal regions has also been found for the gambling patients.These findings suggest that regions associated with the reward system demonstrate reduced segregation but enhanced integration while regions associated with executive functions demonstrate reduced integration. The present study makes evident that pathological gambling is also associated with abnormalities in the topological network structure of the brain during rest. Since alterations in pathological gambling cannot be explained by direct effects of abused substances on the brain, these findings will be of relevance for understanding functional connectivity in other addictive disorders.
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spelling doaj.art-ec9efffb411b49cfb11f54ed95079d332022-12-21T23:46:46ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612013-09-01710.3389/fnhum.2013.0062558200Abnormalities of Functional Brain Networks in Pathological Gambling: A Graph-Theoretical ApproachMelanie eTschernegg0Julia Sophia eCrone1Tina eEigenberger2Philipp eSchwartenbeck3Philipp eSchwartenbeck4Mira eFauth-Bühler5Tagrid eLeménager6Karl eMann7Natasha eThon8Friedrich M Wurst9Martin eKronbichler10Martin eKronbichler11Centre for Neurocognitive Research and Department of Psychology, University of SalzburgNeuroscience Institute and Centre for Neurocognitive Research, Christian-Doppler-Klinik, Paracelsus Medical University SalzburgDepartment of Psychiatry and Psychotherapy II, Christian-Doppler-Klinik, Paracelsus Medical University, SalzburgCentre for Neurocognitive Research and Department of Psychology, University of SalzburgNeuroscience Institute and Centre for Neurocognitive Research, Christian-Doppler-Klinik, Paracelsus Medical University SalzburgDepartment of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, MannheimDepartment of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, MannheimDepartment of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, MannheimDepartment of Psychiatry and Psychotherapy II, Christian-Doppler-Klinik, Paracelsus Medical University, SalzburgDepartment of Psychiatry and Psychotherapy II, Christian-Doppler-Klinik, Paracelsus Medical University, SalzburgCentre for Neurocognitive Research and Department of Psychology, University of SalzburgNeuroscience Institute and Centre for Neurocognitive Research, Christian-Doppler-Klinik, Paracelsus Medical University SalzburgFunctional neuroimaging studies of pathological gambling demonstrate alterations in frontal and subcortical regions of the mesolimbic reward system. However, most investigations were performed using tasks involving reward processing or executive functions. Little is known about brain network abnormalities during task-free resting state in pathological gambling. In the present study, graph-theoretical methods were used to investigate network properties of resting state functional MRI data in pathological gambling. We compared 19 patients with pathological gambling to 19 healthy controls using the Graph Analysis Toolbox (GAT). None of the examined global metrics differed between groups. At the nodal level, pathological gambler showed a reduced clustering coefficient in the left paracingulate cortex and the left juxtapositional lobe (SMA), reduced local efficiency in the left SMA, as well as an increased node betweenness for the left and right paracingulate cortex and the left SMA. At an uncorrected threshold level, the node betweenness in the left inferior frontal gyrus was decreased and increased in the caudate. Additionally, increased functional connectivity between fronto-striatal regions and within frontal regions has also been found for the gambling patients.These findings suggest that regions associated with the reward system demonstrate reduced segregation but enhanced integration while regions associated with executive functions demonstrate reduced integration. The present study makes evident that pathological gambling is also associated with abnormalities in the topological network structure of the brain during rest. Since alterations in pathological gambling cannot be explained by direct effects of abused substances on the brain, these findings will be of relevance for understanding functional connectivity in other addictive disorders.http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00625/fullconnectivityfMRInetworkRewardbehavioral addictiongraph theory
spellingShingle Melanie eTschernegg
Julia Sophia eCrone
Tina eEigenberger
Philipp eSchwartenbeck
Philipp eSchwartenbeck
Mira eFauth-Bühler
Tagrid eLeménager
Karl eMann
Natasha eThon
Friedrich M Wurst
Martin eKronbichler
Martin eKronbichler
Abnormalities of Functional Brain Networks in Pathological Gambling: A Graph-Theoretical Approach
Frontiers in Human Neuroscience
connectivity
fMRI
network
Reward
behavioral addiction
graph theory
title Abnormalities of Functional Brain Networks in Pathological Gambling: A Graph-Theoretical Approach
title_full Abnormalities of Functional Brain Networks in Pathological Gambling: A Graph-Theoretical Approach
title_fullStr Abnormalities of Functional Brain Networks in Pathological Gambling: A Graph-Theoretical Approach
title_full_unstemmed Abnormalities of Functional Brain Networks in Pathological Gambling: A Graph-Theoretical Approach
title_short Abnormalities of Functional Brain Networks in Pathological Gambling: A Graph-Theoretical Approach
title_sort abnormalities of functional brain networks in pathological gambling a graph theoretical approach
topic connectivity
fMRI
network
Reward
behavioral addiction
graph theory
url http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00625/full
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