Functional and Structural Alteration of Default Mode, Executive Control, and Salience Networks in Alcohol Use Disorder

Overview

Journal Front Psychiatry

Specialty Psychiatry

Date 2021 Nov 8

PMID 34744834

Citations 8

Authors

Ji-Woo Suk

Soonjo Hwang

Chaejoon Cheong

Affiliations

Soon will be listed here.

Abstract

Alcohol use disorder (AUD) has been related to aberrant functional connectivity (FC) in the salience network (SN), executive control network (ECN), and default mode network (DMN). However, there is a lack of comprehensive and simultaneous examination of these networks in patients with AUD and of their relation to potential anatomical changes. We aimed to comprehensively examine the alteration in FC in the three networks in AUD patients, and the correlation of the alteration with anatomical/structural changes (volume) in the neural areas implicated in these networks, by applying voxel-based morphometry (VBM) and region of interest-to-region of interest connectivity analysis simultaneously. In all, 22 patients with AUD and 22 healthy adults participated in the study and underwent T1 magnetic resonance imaging. Patients with AUD showed increased FCs within the DMN and SN networks, especially in terms of connectivity of the frontal areas and bilateral hippocampi. They also showed decreased FCs in the ECN. In addition, there was significant volume reduction in these areas (frontal areas and hippocampus). The increased FCs within the frontal areas or bilateral hippocampi showed a negative correlation with gray matter volume of these areas in AUD patients. Our findings add to the empirical evidence that the frontal lobe and hippocampi are critical areas that are vulnerable to functional and structural changes due to AUD.

Citing Articles

Relating Functional Connectivity and Alcohol Use Disorder: A Systematic Review and Derivation of Relevance Maps for Regions and Connections.

Bottino M, Bockova N, Poller N, Smolka M, Bohmer J, Walter H Hum Brain Mapp. 2025; 46(2):e70156.

PMID: 39917866 PMC: 11803412. DOI: 10.1002/hbm.70156.

The Brain Salience Network at the Intersection of Pain and Substance use Disorders: Insights from Functional Neuroimaging Research.

Li X, Kass G, Wiers C, Shi Z Curr Addict Rep. 2024; 11(5):797-808.

PMID: 39156196 PMC: 11329602. DOI: 10.1007/s40429-024-00593-9.

Alcohol, flexible behavior, and the prefrontal cortex: Functional changes underlying impaired cognitive flexibility.

Nippert K, Rowland C, Vazey E, Moorman D Neuropharmacology. 2024; 260:110114.

PMID: 39134298 PMC: 11694314. DOI: 10.1016/j.neuropharm.2024.110114.

Triple network resting-state functional connectivity patterns of alcohol heavy drinking.

Elsayed M, Marsden E, Hargreaves T, Syan S, MacKillop J, Amlung M Alcohol Alcohol. 2024; 59(5).

PMID: 39129375 PMC: 11317527. DOI: 10.1093/alcalc/agae056.

Toward AI-driven neuroepigenetic imaging biomarker for alcohol use disorder: A proof-of-concept study.

Dagnew T, Tseng C, Yoo C, Makary M, Goodheart A, Striar R iScience. 2024; 27(7):110159.

PMID: 39021792 PMC: 11253155. DOI: 10.1016/j.isci.2024.110159.

References

Tomasi D, Volkow N, Wang G, Wang R, Telang F, Caparelli E . Methylphenidate enhances brain activation and deactivation responses to visual attention and working memory tasks in healthy controls. Neuroimage. 2010; 54(4):3101-10. PMC: 3020254. DOI: 10.1016/j.neuroimage.2010.10.060. View

Sridharan D, Levitin D, Menon V . A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proc Natl Acad Sci U S A. 2008; 105(34):12569-74. PMC: 2527952. DOI: 10.1073/pnas.0800005105. View

Ma L, Steinberg J, Cunningham K, Bjork J, Lane S, Schmitz J . Altered anterior cingulate cortex to hippocampus effective connectivity in response to drug cues in men with cocaine use disorder. Psychiatry Res Neuroimaging. 2017; 271:59-66. PMC: 5741507. DOI: 10.1016/j.pscychresns.2017.10.012. View

Stavro K, Pelletier J, Potvin S . Widespread and sustained cognitive deficits in alcoholism: a meta-analysis. Addict Biol. 2012; 18(2):203-13. DOI: 10.1111/j.1369-1600.2011.00418.x. View

Yang X, Tian F, Zhang H, Zeng J, Chen T, Wang S . Cortical and subcortical gray matter shrinkage in alcohol-use disorders: a voxel-based meta-analysis. Neurosci Biobehav Rev. 2016; 66:92-103. DOI: 10.1016/j.neubiorev.2016.03.034. View

Li Q, Liu J, Wang Y, Li W, Chen J, Zhu J . Disrupted coupling of large-scale networks is associated with relapse behaviour in heroin-dependent men. J Psychiatry Neurosci. 2017; 43(1):48-57. PMC: 5747535. View

Mann K, Ackermann K, Croissant B, Mundle G, Nakovics H, Diehl A . Neuroimaging of gender differences in alcohol dependence: are women more vulnerable?. Alcohol Clin Exp Res. 2005; 29(5):896-901. DOI: 10.1097/01.alc.0000164376.69978.6b. View

Luo C, Li Q, Lai Y, Xia Y, Qin Y, Liao W . Altered functional connectivity in default mode network in absence epilepsy: a resting-state fMRI study. Hum Brain Mapp. 2011; 32(3):438-49. PMC: 6870112. DOI: 10.1002/hbm.21034. View

Saunders J, Aasland O, Babor T, De la Fuente J, Grant M . Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II. Addiction. 1993; 88(6):791-804. DOI: 10.1111/j.1360-0443.1993.tb02093.x. View

10.

Osuch E, Manning K, Hegele R, Theberge J, Neufeld R, Mitchell D . Depression, marijuana use and early-onset marijuana use conferred unique effects on neural connectivity and cognition. Acta Psychiatr Scand. 2016; 134(5):399-409. DOI: 10.1111/acps.12629. View

11.

Laird A, Fox P, Eickhoff S, Turner J, Ray K, McKay D . Behavioral interpretations of intrinsic connectivity networks. J Cogn Neurosci. 2011; 23(12):4022-37. PMC: 3690655. DOI: 10.1162/jocn_a_00077. View

12.

Uekermann J, Daum I, Schlebusch P, Wiebel B, Trenckmann U . Depression and cognitive functioning in alcoholism. Addiction. 2003; 98(11):1521-9. DOI: 10.1046/j.1360-0443.2003.00526.x. View

13.

Whiteford H, Degenhardt L, Rehm J, Baxter A, Ferrari A, Erskine H . Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013; 382(9904):1575-86. DOI: 10.1016/S0140-6736(13)61611-6. View

14.

Pennartz C, Ito R, Verschure P, Battaglia F, Robbins T . The hippocampal-striatal axis in learning, prediction and goal-directed behavior. Trends Neurosci. 2011; 34(10):548-59. DOI: 10.1016/j.tins.2011.08.001. View

15.

Fernandez G, Lew B, Vedder L, Savage L . Chronic intermittent ethanol exposure leads to alterations in brain-derived neurotrophic factor within the frontal cortex and impaired behavioral flexibility in both adolescent and adult rats. Neuroscience. 2017; 348:324-334. PMC: 5458357. DOI: 10.1016/j.neuroscience.2017.02.045. View

16.

Zhu X, Cortes C, Mathur K, Tomasi D, Momenan R . Model-free functional connectivity and impulsivity correlates of alcohol dependence: a resting-state study. Addict Biol. 2015; 22(1):206-217. PMC: 4669235. DOI: 10.1111/adb.12272. View

17.

Adinoff B, Gu H, Merrick C, McHugh M, Jeon-Slaughter H, Lu H . Basal Hippocampal Activity and Its Functional Connectivity Predicts Cocaine Relapse. Biol Psychiatry. 2015; 78(7):496-504. PMC: 5671769. DOI: 10.1016/j.biopsych.2014.12.027. View

18.

Volkow N, Fowler J, Wang G . The addicted human brain: insights from imaging studies. J Clin Invest. 2003; 111(10):1444-51. PMC: 155054. DOI: 10.1172/JCI18533. View

19.

Costumero V, Rosell-Negre P, Bustamante J, Fuentes-Claramonte P, Llopis J, Avila C . Left frontoparietal network activity is modulated by drug stimuli in cocaine addiction. Brain Imaging Behav. 2017; 12(5):1259-1270. DOI: 10.1007/s11682-017-9799-3. View

20.

Samson Y, Legault F, Martinot J, Aubin H, Crouzel C, Feldman L . Frontal dysfunction in neurologically normal chronic alcoholic subjects: metabolic and neuropsychological findings. Psychol Med. 1998; 28(5):1039-48. DOI: 10.1017/s0033291798006849. View