Literature DB >> 26822358

Resting state functional connectivity analysis for addiction medicine: From individual loci to complex networks.

Vani Pariyadath1, Joshua L Gowin2, Elliot A Stein3.   

Abstract

Resting state functional connectivity (rsFC) has provided a new and valuable tool for investigating network-level dysfunction in addiction. Following the recent development of a framework of large scale network disruptions, we have been able to arrive at unique insights into craving-related aspects of addiction using rsFC. However, such network-level advancement has thus far eluded our understanding of mesocorticolimbic involvement in addiction. Given the importance of this system in vulnerability and resilience to addiction, understanding mesocorticolimbic dynamics to the same extent could provide critical insights into the disease. To this end, we review here recent studies on addiction that employ rsfC and suggest a new approach, one that combines a novel model for addiction with new experimental techniques as well as participant groups, to accelerate progress in this arena. 2016 Published by Elsevier B.V.

Entities:  

Keywords:  Addiction; Dopamine; Mesocorticolimbic system; Resting state functional connectivity; fMRI

Mesh:

Year:  2015        PMID: 26822358     DOI: 10.1016/bs.pbr.2015.07.015

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  22 in total

Review 1.  Neuroimaging the Effectiveness of Substance Use Disorder Treatments.

Authors:  Elizabeth A Cabrera; Corinde E Wiers; Elsa Lindgren; Gregg Miller; Nora D Volkow; Gene-Jack Wang
Journal:  J Neuroimmune Pharmacol       Date:  2016-05-16       Impact factor: 4.147

2.  Evaluating the resource allocation index as a potential fMRI-based biomarker for substance use disorder.

Authors:  Mahdi Moradi; Hamed Ekhtiari; Rayus Kuplicki; Brett McKinney; Jennifer L Stewart; Teresa A Victor; Martin P Paulus
Journal:  Drug Alcohol Depend       Date:  2020-08-09       Impact factor: 4.492

Review 3.  Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research.

Authors:  Sarah W Yip; Brian Kiluk; Dustin Scheinost
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-11-12

4.  Insurance Companies Fighting the Peer Review Empire without any Validity: the Case for Addiction and Pain Modalities in the face of an American Drug Epidemic.

Authors:  K Blum; W Jacobs; E J Modestino; N DiNubile; D Baron; T McLaughlin; D Siwicki; I Elman; M Moran; E R Braverman; P K Thanos; R D Badgaiyan
Journal:  SEJ Surg Pain       Date:  2018-10-04

Review 5.  Toward biomarkers of the addicted human brain: Using neuroimaging to predict relapse and sustained abstinence in substance use disorder.

Authors:  Scott J Moeller; Martin P Paulus
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2017-03-18       Impact factor: 5.067

6.  Current understanding of the neurobiology of opioid use disorder: An overview.

Authors:  Hestia Moningka; Sarah Lichenstein; Sarah W Yip
Journal:  Curr Behav Neurosci Rep       Date:  2019-01-17

Review 7.  Functional Neurocircuits and Neuroimaging Biomarkers of Tobacco Use Disorder.

Authors:  Matthew T Sutherland; Elliot A Stein
Journal:  Trends Mol Med       Date:  2018-02       Impact factor: 11.951

8.  Connectome-Based Prediction of Cocaine Abstinence.

Authors:  Sarah W Yip; Dustin Scheinost; Marc N Potenza; Kathleen M Carroll
Journal:  Am J Psychiatry       Date:  2019-01-04       Impact factor: 18.112

9.  The Impact of Combinations of Alcohol, Nicotine, and Cannabis on Dynamic Brain Connectivity.

Authors:  Victor M Vergara; Barbara J Weiland; Kent E Hutchison; Vince D Calhoun
Journal:  Neuropsychopharmacology       Date:  2017-11-14       Impact factor: 7.853

Review 10.  Alterations in resting-state functional connectivity in substance use disorders and treatment implications.

Authors:  Claire E Wilcox; Christopher C Abbott; Vince D Calhoun
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2018-06-25       Impact factor: 5.067

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