Cargando…

Changes in Effective Connectivity Network Patterns in Drug Abusers, Treated With Different Methods

INTRODUCTION: Various treatment methods for drug abusers will result in different success rates. This is partly due to different neural assumptions and partly due to various rate of relapse in abusers because of different circumstances. Investigating the brain activation networks of treated subjects...

Descripción completa

Detalles Bibliográficos
Autores principales: Zare Sadeghi, Arash, Jafari, Amir Homayoun, Oghabian, Mohammad Ali, Salighehrad, Hamid Reza, Batouli, Seyed Amir Hossein, Raminfard, Samira, Ekhtiari, Hamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iranian Neuroscience Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683686/
https://www.ncbi.nlm.nih.gov/pubmed/29158879
http://dx.doi.org/10.18869/nirp.bcn.8.4.285
_version_ 1783278341810290688
author Zare Sadeghi, Arash
Jafari, Amir Homayoun
Oghabian, Mohammad Ali
Salighehrad, Hamid Reza
Batouli, Seyed Amir Hossein
Raminfard, Samira
Ekhtiari, Hamed
author_facet Zare Sadeghi, Arash
Jafari, Amir Homayoun
Oghabian, Mohammad Ali
Salighehrad, Hamid Reza
Batouli, Seyed Amir Hossein
Raminfard, Samira
Ekhtiari, Hamed
author_sort Zare Sadeghi, Arash
collection PubMed
description INTRODUCTION: Various treatment methods for drug abusers will result in different success rates. This is partly due to different neural assumptions and partly due to various rate of relapse in abusers because of different circumstances. Investigating the brain activation networks of treated subjects can reveal the hidden mechanisms of the therapeutic methods. METHODS: We studied three groups of subjects: heroin abusers treated with abstinent based therapy (ABT) method, heroin abusers treated with Methadone Maintenance Therapy (MMT) method, and a control group. They were all scanned with functional magnetic resonance imaging (fMRI), using a 6-block task, where each block consisted of the rest-craving-rest-neutral sequence. Using the dynamic causal modeling (DCM) algorithm, brain effective connectivity network (caused by the drug craving stimulation) was quantified for all groups. In this regard, 4 brain areas were selected for this analysis based on previous findings: ventromedial prefrontal cortex (VMPFC), dorsolateral prefrontal cortex (DLPFC), amygdala, and ventral striatum. RESULTS: Our results indicated that the control subjects did not show significant brain activations after craving stimulations, but the two other groups showed significant brain activations in all 4 regions. In addition, VMPFC showed higher activations in the ABT group compared to the MMT group. The effective connectivity network suggested that the control subjects did not have any direct input from drug-related cue indices, while the other two groups showed reactions to these cues. Also, VMPFC displayed an important role in ABT group. In encountering the craving pictures, MMT subjects manifest a very simple mechanism compared to other groups. CONCLUSION: This study revealed an activation network similar to the emotional and inhibitory control networks observed in drug abusers in previous works. The results of DCM analysis also support the regulatory role of frontal regions on bottom regions. Furthermore, this study demonstrates the different effective connectivity patterns after drug abuse treatment and in this way helps the experts in the field.
format Online
Article
Text
id pubmed-5683686
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Iranian Neuroscience Society
record_format MEDLINE/PubMed
spelling pubmed-56836862017-11-20 Changes in Effective Connectivity Network Patterns in Drug Abusers, Treated With Different Methods Zare Sadeghi, Arash Jafari, Amir Homayoun Oghabian, Mohammad Ali Salighehrad, Hamid Reza Batouli, Seyed Amir Hossein Raminfard, Samira Ekhtiari, Hamed Basic Clin Neurosci Research Paper INTRODUCTION: Various treatment methods for drug abusers will result in different success rates. This is partly due to different neural assumptions and partly due to various rate of relapse in abusers because of different circumstances. Investigating the brain activation networks of treated subjects can reveal the hidden mechanisms of the therapeutic methods. METHODS: We studied three groups of subjects: heroin abusers treated with abstinent based therapy (ABT) method, heroin abusers treated with Methadone Maintenance Therapy (MMT) method, and a control group. They were all scanned with functional magnetic resonance imaging (fMRI), using a 6-block task, where each block consisted of the rest-craving-rest-neutral sequence. Using the dynamic causal modeling (DCM) algorithm, brain effective connectivity network (caused by the drug craving stimulation) was quantified for all groups. In this regard, 4 brain areas were selected for this analysis based on previous findings: ventromedial prefrontal cortex (VMPFC), dorsolateral prefrontal cortex (DLPFC), amygdala, and ventral striatum. RESULTS: Our results indicated that the control subjects did not show significant brain activations after craving stimulations, but the two other groups showed significant brain activations in all 4 regions. In addition, VMPFC showed higher activations in the ABT group compared to the MMT group. The effective connectivity network suggested that the control subjects did not have any direct input from drug-related cue indices, while the other two groups showed reactions to these cues. Also, VMPFC displayed an important role in ABT group. In encountering the craving pictures, MMT subjects manifest a very simple mechanism compared to other groups. CONCLUSION: This study revealed an activation network similar to the emotional and inhibitory control networks observed in drug abusers in previous works. The results of DCM analysis also support the regulatory role of frontal regions on bottom regions. Furthermore, this study demonstrates the different effective connectivity patterns after drug abuse treatment and in this way helps the experts in the field. Iranian Neuroscience Society 2017 /pmc/articles/PMC5683686/ /pubmed/29158879 http://dx.doi.org/10.18869/nirp.bcn.8.4.285 Text en Copyright© 2017 Iranian Neuroscience Society http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Zare Sadeghi, Arash
Jafari, Amir Homayoun
Oghabian, Mohammad Ali
Salighehrad, Hamid Reza
Batouli, Seyed Amir Hossein
Raminfard, Samira
Ekhtiari, Hamed
Changes in Effective Connectivity Network Patterns in Drug Abusers, Treated With Different Methods
title Changes in Effective Connectivity Network Patterns in Drug Abusers, Treated With Different Methods
title_full Changes in Effective Connectivity Network Patterns in Drug Abusers, Treated With Different Methods
title_fullStr Changes in Effective Connectivity Network Patterns in Drug Abusers, Treated With Different Methods
title_full_unstemmed Changes in Effective Connectivity Network Patterns in Drug Abusers, Treated With Different Methods
title_short Changes in Effective Connectivity Network Patterns in Drug Abusers, Treated With Different Methods
title_sort changes in effective connectivity network patterns in drug abusers, treated with different methods
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683686/
https://www.ncbi.nlm.nih.gov/pubmed/29158879
http://dx.doi.org/10.18869/nirp.bcn.8.4.285
work_keys_str_mv AT zaresadeghiarash changesineffectiveconnectivitynetworkpatternsindrugabuserstreatedwithdifferentmethods
AT jafariamirhomayoun changesineffectiveconnectivitynetworkpatternsindrugabuserstreatedwithdifferentmethods
AT oghabianmohammadali changesineffectiveconnectivitynetworkpatternsindrugabuserstreatedwithdifferentmethods
AT salighehradhamidreza changesineffectiveconnectivitynetworkpatternsindrugabuserstreatedwithdifferentmethods
AT batouliseyedamirhossein changesineffectiveconnectivitynetworkpatternsindrugabuserstreatedwithdifferentmethods
AT raminfardsamira changesineffectiveconnectivitynetworkpatternsindrugabuserstreatedwithdifferentmethods
AT ekhtiarihamed changesineffectiveconnectivitynetworkpatternsindrugabuserstreatedwithdifferentmethods