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Progresses of brain imaging in patients with chronic alcohol dependence
XU Shili  CHEN Jun 

Cite this article as: Xu SL, Chen J. Progresses of brain imaging in patients with chronic alcohol dependence. Chin J Magn Reson Imaging, 2020, 11(9): 813-816. DOI:10.12015/issn.1674-8034.2020.09.021.


[Abstract] Alcohol is the most widely used addictive drug in the world and chronic alcohol dependence (CAD) has become a serious public health problem. CAD can lead to the double dependence of patients' psychology and body, resulting in multi system damage, especially the central nervous system, which is mainly manifested in brain structure damage, brain metabolism and functional abnormality. With the continuous development of modern neuroimaging technology, more and more imaging technology is used to objectively detect and quantify brain damage caused by alcohol dependence, which plays an important role in CAD diagnosis, treatment and prognosis evaluation. This paper reviews the progress of brain imaging in CAD patients from three aspects: structure, metabolism and function.
[Keywords] alcoholism；brain；structure；metabolize；function；brain imaging；magnetic resonance imaging

XU Shili Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

CHEN Jun* Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

*Correspondence to: Chen J, E-mail: whuchenjun@163.com

Conflicts of interest   None.

Received  2019-12-13
Accepted  2020-07-16
DOI: 10.12015/issn.1674-8034.2020.09.021
Cite this article as: Xu SL, Chen J. Progresses of brain imaging in patients with chronic alcohol dependence. Chin J Magn Reson Imaging, 2020, 11(9): 813-816. DOI:10.12015/issn.1674-8034.2020.09.021.

[1]
Schuckit MA. Alcohol-use disorders. Lancet, 2009, 373(9662): 492-501.
[2]
Galandra C, Basso G, Manera M, et al. Salience network structural integrity predicts executive impairment in alcohol use disorders. Sci Rep, 2018, 8(1): 14481.
[3]
Yang X, Tian F, Zhang H, et al. Cortical and subcortical gray matter shrinkage in alcohol-use disorders: a voxel-based meta-analysis. Neurosci Biobehav Rev, 2016, 66: 92-103.
[4]
Rosenthal A, Beck A, Zois E, et al. Volumetric prefrontal cortex alterations in patients with alcohol dependence and the involvement of self-control. Alcohol Clin Exp Res, 2019, 43(12): 2514-2524.
[5]
Thayer RE, Hagerty SL, Sabbineni A, et al. Negative and interactive effects of sex, aging, and alcohol abuse on gray matter morphometry. Hum Brain Mapp, 2016, 37(6): 2276-2292.
[6]
Zou X, Durazzo TC, Meyerhoff DJ. Regional brain volume changes in alcohol-dependent individuals during short-term and long-term abstinence. Alcohol Clin Exp Res, 2018, 42(6): 1062-1072.
[7]
Fortier CB, Leritz EC, Salat DH, et al. Widespread effects of alcohol on white matter microstructure. Alcohol Clin Exp Res, 2014, 38(12): 2925-2933.
[8]
Bagga D, Sharma A, Kumari A, et al. Decreased white matter integrity in fronto-occipital fasciculus bundles: relation to visual information processing in alcohol-dependent subjects. Alcohol, 2014, 48(1): 43-53.
[9]
Yeh PH, Simpson K, Durazzo TC, et al. Tract-based spatial statistics (TBSS) of diffusion tensor imaging data in alcohol dependence: abnormalities of the motivational neurocircuitry. Psychiatry Res, 2009, 173(1): 22-30.
[10]
Monnig MA, Thayer RE, Caprihan A, et al. White matter integrity is associated with alcohol cue reactivity in heavy drinkers. Brain Behav, 2014, 4(2): 158-170.
[11]
Zou Y, Murray DE, Durazzo TC, et al. Effects of abstinence and chronic cigarette smoking on white matter microstructure in alcohol dependence: Diffusion tensor imaging at 4 T. Drug Alcohol Depend, 2017, 175: 42-50.
[12]
Ende G, Welzel H, Walter S, et al. Monitoring the effects of chronic alcohol consumption and abstinence on brain metabolism: a longitudinal proton magnetic resonance spectroscopy study. Biol Psychiatry, 2005, 58(12): 974-980.
[13]
de Souza R, Rosa MJ, Rodrigues TM, et al. Lower choline rate in the left prefrontal cortex is associated with higher amount of alcohol use in alcohol use disorder. Front Psychiatry, 2018, 9: 563.
[14]
Betka S, Harris L, Rae C, et al. Signatures of alcohol use in the structure and neurochemistry of insular cortex: a correlational study. Psychopharmacology (Berl), 2019, 236(9): 2579-2591.
[15]
Prisciandaro JJ, Schacht JP, Prescot AP, et al. Associations between recent heavy drinking and dorsal anterior cingulate n-acetylaspartate and glutamate concentrations in non-treatment-seeking individuals with alcohol dependence. Alcohol Clin Exp Res, 2016, 40(3): 491-496.
[16]
Schweinsburg BC, Alhassoon OM, Taylor MJ, et al. Effects of alcoholism and gender on brain metabolism. Am J Psychiatry, 2003, 160(6): 1180-1183.
[17]
Bartsch AJ, Homola G, Biller A, et al. Manifestations of early brain recovery associated with abstinence from alcoholism. Brain, 2007, 130(Pt 1): 36-47.
[18]
Frischknecht U, Hermann D, Tunc-Skarka N, et al. Negative association between mr-spectroscopic glutamate markers and gray matter volume after alcohol withdrawal in the hippocampus: a translational study in humans and rats. Alcohol Clin Exp Res, 2017, 41(2): 323-333.
[19]
Gundersen H, van Wageningen H, Gruner R. Alcohol-induced changes in cerebral blood flow and cerebral blood volume in social drinkers. Alcohol Alcohol, 2013, 48(2): 160-165.
[20]
Clark CP, Brown GG, Eyler LT, et al. Decreased perfusion in young alcohol-dependent women as compared with age-matched controls. Am J Drug Alcohol Abuse, 2007, 33(1): 13-19.
[21]
Durazzo TC, Gazdzinski S, Mon A, et al. Cortical perfusion in alcohol-dependent individuals during short-term abstinence: relationships to resumption of hazardous drinking after treatment. Alcohol, 2010, 44(3): 201-210.
[22]
Ritz L, Segobin S, Lannuzel C, et al. Direct voxel-based comparisons between grey matter shrinkage and glucose hypometabolism in chronic alcoholism. J Cereb Blood Flow Metab, 2016, 36(9): 1625-1640.
[23]
Moreno-Lopez L, Stamatakis EA, Fernandez-Serrano MJ, et al. Neural correlates of the severity of cocaine, heroin, alcohol, MDMA and cannabis use in polysubstance abusers: a resting-PET brain metabolism study. PLoS One, 2012, 7(6): e39830.
[24]
Clergue-Duval V, Questel F, Azuar J, et al. Brain 18FDG-PET pattern in patients with alcohol-related cognitive impairment. Eur J Nucl Med Mol Imaging, 2020, 47(2): 281-291.
[25]
Kim H, Kim YK, Lee JY, et al. Hypometabolism and altered metabolic connectivity in patients with internet gaming disorder and alcohol use disorder. Prog Neuropsychopharmacol Biol Psychiatry, 2019, 95: 109680.
[26]
Noel X. Contribution of frontal cerebral blood flow measured by 99mTc-bicisate spect and executive function deficits to predicting treatment outcome in alcohol-dependent patients. Alcohol Alcohol, 2002, 37(4): 347-354.
[27]
Volkow ND, Wang GJ, Hitzemann R, et al. Recovery of brain glucose metabolism in detoxified alcoholics. Am J Psychiatry, 1994, 151(2): 178-183.
[28]
Johnson-Greene D, Adams KM, Gilman S, et al. Effects of abstinence and relapse upon neuropsychological function and cerebral glucose metabolism in severe chronic alcoholism. J Clin Exp Neuropsychol, 1997, 19(3): 378-385.
[29]
Vollstadt-Klein S, Loeber S, Richter A, et al. Validating incentive salience with functional magnetic resonance imaging: association between mesolimbic cue reactivity and attentional bias in alcohol-dependent patients. Addict Biol, 2012, 17(4): 807-816.
[30]
Claus ED, Ewing SW, Filbey FM, et al. Identifying neurobiological phenotypes associated with alcohol use disorder severity. Neuropsychopharmacology, 2011, 36(10): 2086-2096.
[31]
Vollstadt-Klein S, Wichert S, Rabinstein J, et al. Initial, habitual and compulsive alcohol use is characterized by a shift of cue processing from ventral to dorsal striatum. Addiction, 2010, 105(10): 1741-1749.
[32]
Alba-Ferrara L, Muller-Oehring EM, Sullivan EV, et al. Brain responses to emotional salience and reward in alcohol use disorder. Brain Imaging Behav, 2016, 10(1): 136-146.
[33]
Zehra A, Lindgren E, Wiers CE, et al. Neural correlates of visual attention in alcohol use disorder. Drug Alcohol Depend, 2019, 194: 430-437.
[34]
Galandra C, Basso G, Cappa S, et al. The alcoholic brain: neural bases of impaired reward-based decision-making in alcohol use disorders. Neurol Sci, 2018, 39(3): 423-435.
[35]
Wilcox CE, Clifford J, Ling J, et al. Stroop-related cerebellar and temporal activation is correlated with negative affect and alcohol use disorder severity. Brain Imaging Behav, 2020, 14(2): 586-598.
[36]
Tu X, Wang J, Liu X, et al. Aberrant regional brain activities in alcohol dependence: a functional magnetic resonance imaging study. Neuropsychiatr Dis Treat, 2018, 14: 847-853.
[37]
Zhu X, Cortes CR, Mathur K, et al. Model-free functional connectivity and impulsivity correlates of alcohol dependence: a resting-state study. Addict Biol, 2017, 22(1): 206-217.
[38]
Arienzo D, Happer JP, Molnar SM, et al. Binge drinking is associated with altered resting state functional connectivity of reward-salience and top down control networks. Brain Imaging Behav, 2019, 10: 1007.
[39]
Kohno M, Dennis LE, Mccready H, et al. Executive control and striatal resting-state network interact with risk factors to influence treatment outcomes in alcohol-use disorder. Front Psychiatry, 2017, 8: 182.
[40]
Zhu J, Zhao W, Zhang C, et al. Disrupted topological organization of the motor execution network in alcohol dependence. Psychiatry Res Neuroimaging, 2018, 280: 1-8.
[41]
Grodin EN, Ray LA. The use of functional magnetic resonance imaging to test pharmacotherapies for alcohol use disorder: a systematic review. Alcohol Clin Exp Res, 2019, 43(10): 2038-2056.
[42]
Jansen JM, van Wingen G, van den Brink W, et al. Resting state connectivity in alcohol dependent patients and the effect of repetitive transcranial magnetic stimulation. Eur Neuropsychopharmacol, 2015, 25(12): 2230-2239.

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