Changes in brain gray matter in abstinent heroin addicts

Wang, Xuyi; Li, Baojuan; Zhou, Xuhui; Liao, Yanhui; Tang, Jinsong; Liu, Tieqiao; Hu, Dewen; Hao, Wei

doi:10.1016/j.drugalcdep.2012.05.030

Cited by 83 publications

(58 citation statements)

References 33 publications

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“…Recently the scientific community has witnessed an explosion in the study of functional connectivity modulations (Polunina et al, 2007;Ma et al, 2010Ma et al, , 2011Wang et al, 2010Wang et al, , 2013Yuan et al, 2010a;Xie et al, 2011;Zhang et al, 2011;Moreno-López et al, 2012), structural deficits (Liu et al, 2008(Liu et al, , 2009aYuan et al, 2009Yuan et al, , 2010bBora et al, 2010;Wang et al, 2012;Qiu et al, 2011Qiu et al, , 2013Wang et al, 2011;Lin et al, 2012;Denier et al, 2013a;Zhang et al, 2013;Li et al, 2013aLi et al, , 2013c and changes in topological properties (Liu et al, 2009bYuan et al, 2010c;Jiang et al, 2013) in heroin-dependent individuals at rest.Resting-state is defined as a state that is characterized by the absence of a specific goal-oriented activity or alternatively as a task-free state where the subjects rest quietly awake with their eyes closed, as it has been proposed by Raichle et al (2001). Nevertheless, a more complex baseline or control state such as visual fixation of a cross hair on a monitor or alternatively passive viewing of a stimulus (Greicius et al, 2003;Fox et al, 2005;Fransson, 2006;Fair et al, 2008;Fransson and Marrelec, 2008) is more frequently used.…”

Section: [Figure 1]mentioning

confidence: 99%

Section: Resting-state Structural Deficits In Heroin Dependent Indivimentioning

confidence: 99%

“…Numerous imaging studies have shown structural deficits that are associated both gray (Liu et al, 2009a;Yuan et al, 2009Yuan et al, , 2010bWang et al, 2012;Denier et al, 2013a;Qiu et al, 2013) and white matter (Liu et al, 2008;Bora et al, 2010;Wang et al, 2011;Lin et al, 2012;Li et al, 2013c;Zhang et al, 2013) reductions, perfusion's decrement (Denier et al, 2013a(Denier et al, , 2013b, diminished homogeneity and abnormal cortical thickness (Li et al, 2013a). Moreover, few studies associated structural reductions with rsFC impairments (Liu et al, 2009b;Yuan et al, 2009Yuan et al, , 2010aYuan et al, , 2010cMa et al, 2010) despite the fact that their causal relationship remains unknown.…”

Section: Resting-state Structural Deficits In Heroin Dependent Indivimentioning

confidence: 99%

“…The functional and structural exploration of the brain of heroin-dependent individuals has been possible with the help ofdifferent computational techniques (Liu et al, 2008(Liu et al, , 2009aBora et al, 2010;Wang et al, 2010Wang et al, , 2011Wang et al, , 2012Wang et al, , 2013Yuan et al, 2010aYuan et al, , 2010bMa et al, 2010Ma et al, , 2011Qiu et al, 2011Qiu et al, , 2013Zhang et al, 2011Zhang et al, , 2013Moreno-López et al, 2012;Lin et al, 2012;Denier et al, 2013aDenier et al, , 2013bLi et al, 2013aLi et al, , 2013b. One reason for the controversial results reported by different studies could be the inadequacy and the heterogeneity of the participant samples.…”

Section: Limitations Of Existing Resting-state Literaturementioning

confidence: 99%

“…On the other hand, postmortem tracers have no practical value due to their glacial pace (Sparks et al, 2000). But, researchers are now equipped withmodern imaging technologies such as structural magnetic resonance (Liu et al, 2009a;Wang et al, 2012;Li et al, 2013a) or fMRI associated with voxel-based morphometry approach (Yuan et al, 2010b;Qiu et al, 2013), regional homogeneity tool , pharmacological MRI (phMRI) (Denier et al, 2013a) or fMRI combined to a pulsed arterial spin labeling (Denier et al, 2013b) and quantitative diffusion tensor imaging (Liu et al, 2008;Bora et al, 2010;Wang et al, 2011;Lin et al, 2012;Zhang et al, 2013).Numerous imaging studies have shown structural deficits that are associated both gray (Liu et al, 2009a;Yuan et al, 2009Yuan et al, , 2010bWang et al, 2012;Denier et al, 2013a;Qiu et al, 2013) and white matter (Liu et al, 2008;Bora et al, 2010;Wang et al, 2011;Lin et al, 2012;Li et al, 2013c;Zhang et al, 2013) reductions, perfusion's decrement (Denier et al, 2013a(Denier et al, , 2013b, diminished homogeneity and abnormal cortical thickness (Li et al, 2013a). Moreover, few studies associated structural reductions with rsFC impairments (Liu et al, 2009b;Yuan et al, 2009Yuan et al, , 2010aYuan et al, , 2010cMa et al, 2010) despite the fact that their causal relationship remains unknown.…”

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Resting-state Abnormalities in Heroin-dependent Individuals

Pandria

Kovatsi

Vivas³

et al. 2018

Neuroscience

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Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. AbstractDrug addiction is a major health problem worldwide. Recent neuroimaging studies have shed light into the underlying mechanisms of drug addiction as well as its consequences to the human brain. The most vulnerable, to heroin addiction, brain regions have been reported to be specific regions in the prefrontal, parietal, occipital, and temporal lobes, as well as, some subcortical regions.The brain regions involvedare linked with reward, motivation/drive, memory/learning, inhibition as well as emotional control andseem to form circuitsthat interact with each other. So, along with neuroimaging studies, recent advances in resting-state dynamics might allow further assessments upon the multilayer complexity of addiction. In the current manuscript, we comprehensively reviewand discuss all the existing resting-state neuroimaging findings classified into three overlapping and interconnected groups: functional connectivity alterations, structural deficits and abnormal topological properties. Moreover, behavioral traits of heroin-addicted individuals as well as the limitations of the currently available studies are also reviewed. Finally, in need of a contemporary therapya multimodal therapeutic approach is suggested using classical treatment practices along with current neurotechonologies, such as neurofeedback and goal-oriented video-games Keywords:Heroin addiction, resting-state, functional and structural connectivity, small-world properties, behavioral traits of heroin-dependent individuals. Radial Diffusivity (RD) 5 Drug addiction or substance dependence (Koob and Le Moal, 2005)is defined as a multifaceted neuropsychiatric disorder resulting from complex interactions between neurobiological, environmental, genetic and pharmacological variables (Sutherland et al., 2012).It affects both cognitive as well as emotional processes . Furthermore, the compulsive seeking and taking of the drug despite the negative consequences, (including downward social mobility (Denier et al., 2013b)), constitutes its behavioral phenotype (Volkow ...

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Section: [Figure 1]mentioning

confidence: 99%

Section: Resting-state Structural Deficits In Heroin Dependent Indivimentioning

confidence: 99%

Section: Resting-state Structural Deficits In Heroin Dependent Indivimentioning

confidence: 99%

Section: Limitations Of Existing Resting-state Literaturementioning

confidence: 99%

mentioning

confidence: 99%

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Resting-state Abnormalities in Heroin-dependent Individuals

Pandria

Kovatsi

Vivas³

et al. 2018

Neuroscience

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Biomarkers to predict staging and treatment response in opioid dependence: A narrative review

Vorspan

Marie-Claire

Bellivier

et al. 2021

Drug Development Research

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Opioid use disorder is a devastating disorder with a high burden in terms of overdose mortality, with an urgent need for more personalized prevention or therapeutic interventions. For this purpose, the description and validation of biological measures of staging or treatment response is a highly active research field. We conducted a narrative review on the pathophysiology of opioid use disorder to propose staging of the disease and search for research studies proposing or demonstrating the predictive value of biomarkers. We propose a IV stage description of opioid use disorder, from (I) vulnerability stage to (II) disease progression, (III) constituted opioid dependence and were several type of treatments can be applied, to the reach a (IV) modified health state. We classified biomarkers studies according to the stage of the disorder they were intended to predict, and to the three categories of methods they used: anatomical and functional aspects of the brain, genetic/transcriptomic/epigenetic studies, and lastly biomarkers of systemic modifications associated with opioid use disorder, especially regarding the immune system. Most studies predicting Stage III that we reviewed collected data from small samples sizes and were cross‐sectional association studies comparing opioid dependent patients and control groups. Pharmacogenetic biomarkers are proposed to predict treatment response. Future research should now emphasize prospective studies, replication in independent samples, and predictive value calculation of each biomarker. The most promising results are multimodal evaluations to be able to measure the state of the brain reward system in living individuals.

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