Abstract
Multimodal imaging is increasingly used to address neuropathology associated with alcohol use disorder (AUD). Few studies have investigated relationships between metabolite concentrations and white matter (WM) integrity; currently, there are no such data in AUD. In this preliminary study, we used complementary neuroimaging techniques, magnetic resonance spectroscopy (MRS), and diffusion weighted imaging (DWI), to study AUD neurophysiology. We tested for relationships between metabolites in the dorsal anterior cingulate cortex (dACC) and adjacent WM microstructure in young adult AUD and control (CON) subjects. Sixteen AUD and fourteen CON underwent whole-brain DWI and MRS of the dACC. Outcomes were dACC metabolites, and diffusion tensor metrics of dACC-adjacent WM. Multiple linear regression terms included WM region, group, and region × group for prediction of dACC metabolites. dACC myo-inositol was positively correlated with axial diffusivity in the left anterior corona radiata (p < 0.0001) in CON but not AUD (group effect: p < 0.001; region × group: p < 0.001; Bonferroni-corrected). In the bilateral anterior corona radiata and right genu of the corpus callosum, glutamate was negatively related to mean diffusivity in AUD, but not CON subjects (all model terms: p < 0.05, uncorrected). In AUD subjects, dACC glutamate was negatively correlated with AUD symptom severity. This is likely the first integrative study of cortical metabolites and WM integrity in young individuals with AUD. Differential relationships between dACC metabolites and adjacent WM tract integrity in AUD could represent early consequences of hazardous drinking, and/or novel biomarkers of early-stage AUD. Additional studies are required to replicate these findings, and to determine the behavioral relevance of these results.
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Bucholz, K. K., Cadoret, R., Cloninger, C. R., Dinwiddie, S. H., Hesselbrock, V., Nurnberger Jr, J., & Schuckit, M. A. (1994). A new, semi-structured psychiatric interview for use in genetic linkage studies: a report on the reliability of the SSAGA. Journal of Studies on Alcohol, 55(2), 149–158.
Buhler, M., & Mann, K. (2011). Alcohol and the human brain: a systematic review of different neuroimaging methods. Alcoholism, Clinical and Experimental Research, 35(10), 1771–1793. https://doi.org/10.1111/j.1530-0277.2011.01540.x.
Bush, G., Vogt, B. A., Holmes, J., Dale, A. M., Greve, D., Jenike, M. A., & Rosen, B. R. (2002). Dorsal anterior cingulate cortex: a role in reward-based decision making. Proceedings of the National Academy of Sciences of the United States of America, 99(1), 523–528. https://doi.org/10.1073/pnas.012470999.
Cauda, F., D’Agata, F., Sacco, K., Duca, S., Geminiani, G., & Vercelli, A. (2011). Functional connectivity of the insula in the resting brain. Neuroimage, 55(1), 8–23. doi:https://doi.org/10.1016/j.neuroimage.2010.11.049.
Cheng, H., Kellar, D., Lake, A., Finn, P., Rebec, G. V., Dharmadhikari, S., & Newman, S. (2018). Effects of alcohol cues on MRS glutamate levels in the anterior cingulate. Alcohol and Alcoholism, 53(3), 209–215.
Chumin, E. J., Goñi, J., Halcomb, M. E., Durazzo, T. C., Dzemidzic, M. and Yoder, K. K. (2018), Differences in White Matter Microstructure and Connectivity in Nontreatment-Seeking Individuals with Alcohol Use Disorder. Alcoholism Clinical and Experimental Research, 42, 889–896. https://doi.org/10.1111/acer.13629
Chumin, E. J., Grecco, G. G., Dzemidzic, M., Cheng, H., Finn, P., Sporns, O., & Yoder, K. K. (2019). Alterations in white matter microstructure and connectivity in young adults with alcohol use disorder. Alcoholism, Clinical and Experimental Research, 43(6), 1170–1179. https://doi.org/10.1111/acer.14048.
Cook, P. A., Bai, Y., Nedjati-Gilani, K. K., Seunarine, M. G., Hall, G. J., Parker, D., & Alexander, C. (2006). Camino: Open-source diffusion-MRI reconstruction and processing. 14th Scientific Meeting of the International Society for Magnetic Resonance in Medicine, Seattle, WA, USA, p. 2759.
Dai, G., Yu, H., Kruse, M., Traynor-Kaplan, A., & Hille, B. (2016). Osmoregulatory inositol transporter SMIT1 modulates electrical activity by adjusting PI(4,5)P2levels. Proceedings of the National Academy of Sciences, 113(23), E3290. https://doi.org/10.1073/pnas.1606348113.
Ende, G., Hermann, D., Demirakca, T., Hoerst, M., Tunc-Skarka, N., Weber‐Fahr, W.,.. . Mann, K. (2013). Loss of control of alcohol use and severity of alcohol dependence in Non‐Treatment‐Seeking heavy drinkers are related to lower glutamate in frontal white matter. Alcoholism: Clinical and Experimental Research, 37(10), 1643–1649.
Finn, P. R., Gunn, R. L., & Gerst, K. R. (2015). The effects of a working memory load on delay discounting in those with externalizing psychopathology. Clinical Psychological Science, 3(2), 202–214.
Galandra, C., Basso, G., Manera, M., Crespi, C., Giorgi, I., Vittadini, G., & Canessa, N. (2018). Salience network structural integrity predicts executive impairment in alcohol use disorders. Scientific Reports, 8(1), 14481.
Gazdzinski, S., Durazzo, T. C., Mon, A., Yeh, P. H., & Meyerhoff, D. J. (2010). Cerebral white matter recovery in abstinent alcoholics–a multimodality magnetic resonance study. Brain, 133(Pt 4), 1043–1053. doi:https://doi.org/10.1093/brain/awp343.
Ghaziri, J., Tucholka, A., Girard, G., Houde, J. C., Boucher, O., Gilbert, G., & Nguyen, D. K. (2017). The corticocortical structural connectivity of the human insula. Cerebral Cortex, 27(2), 1216–1228. https://doi.org/10.1093/cercor/bhv308.
Gorka, S. M., Phan, K. L., & Childs, E. (2018). Acute calming effects of alcohol are associated with disruption of the salience network. Addiction Biology, 23(3), 921–930. https://doi.org/10.1111/adb.12537.
Grodin, E. N., Cortes, C. R., Spagnolo, P. A., & Momenan, R. (2017). Structural deficits in salience network regions are associated with increased impulsivity and compulsivity in alcohol dependence. Drug and Alcohol Dependence, 179, 100–108. https://doi.org/10.1016/j.drugalcdep.2017.06.014.
Gullans, S. R., & Verbalis, J. G. (1993). Control of brain volume during hyperosmolar and hypoosmolar conditions. Annual Review of Medicine, 44, 289–301. https://doi.org/10.1146/annurev.med.44.1.289.
Halcomb, M. E., Chumin, E. J., Goni, J., Dzemidzic, M., & Yoder, K. K. (2019). Aberrations of anterior insular cortex functional connectivity in nontreatment-seeking alcoholics. Psychiatry Research: Neuroimaging, 284, 21–28. https://doi.org/10.1016/j.pscychresns.2018.12.016.
Heilbronner, S. R., & Haber, S. N. (2014). Frontal cortical and subcortical projections provide a basis for segmenting the cingulum bundle: implications for neuroimaging and psychiatric disorders. The Journal of Neuroscience, 34(30), 10041–10054. https://doi.org/10.1523/JNEUROSCI.5459-13.2014.
Kalivas, P. W., & Volkow, N. D. (2005). The neural basis of addiction: a pathology of motivation and choice. The American Journal of Psychiatry, 162(8), 1403–1413. https://doi.org/10.1176/appi.ajp.162.8.1403.
Mashhoon, Y., Czerkawski, C., Crowley, D. J., Cohen-Gilbert, J. E., Sneider, J. T., & Silveri, M. M. (2014). Binge alcohol consumption in emerging adults: anterior cingulate cortical “thinness” is associated with alcohol use patterns. Alcoholism, Clinical and Experimental Research, 38(7), 1955–1964. https://doi.org/10.1111/acer.12475.
Matute, C., Alberdi, E., Domercq, M., Sanchez-Gomez, M. V., Perez-Samartin, A., Rodriguez-Antiguedad, A., & Perez-Cerda, F. (2007). Excitotoxic damage to white matter. Journal of Anatomy, 210(6), 693–702. https://doi.org/10.1111/j.1469-7580.2007.00733.x.
Meyerhoff, D. J. (2014). Brain proton magnetic resonance spectroscopy of alcohol use disorders. Handbook of Clinical Neurology, 125, 313–337. https://doi.org/10.1016/b978-0-444-62619-6.00019-7.
Mon, A., Durazzo, T. C., & Meyerhoff, D. J. (2012). Glutamate, GABA, and other cortical metabolite concentrations during early abstinence from alcohol and their associations with neurocognitive changes. Drug and Alcohol Dependence, 125(1–2), 27–36. https://doi.org/10.1016/j.drugalcdep.2012.03.012.
Newman, S. D., Cheng, H., Kim, D. J., Schnakenberg-Martin, A., Dydak, U., Dharmadhikari, S., & O’Donnell, B. (2019). An investigation of the relationship between glutamate and resting state connectivity in chronic cannabis users. Brain Imaging and Behavior. https://doi.org/10.1007/s11682-019-00165-w.
Pfefferbaum, A., Rosenbloom, M., Rohlfing, T., & Sullivan, E. V. (2009). Degradation of association and projection white matter systems in alcoholism detected with quantitative fiber tracking. Biological Psychiatry, 65(8), 680–690. https://doi.org/10.1016/j.biopsych.2008.10.039.
Pfefferbaum, A., Rosenbloom, M. J., Chu, W., Sassoon, S. A., Rohlfing, T., Pohl, K. M., & Sullivan, E. V. (2014). White matter microstructural recovery with abstinence and decline with relapse in alcoholism: interaction with normal aging revealed with longitudinal DTI. Lancet Psychiatry, 1(3), 202–212. https://doi.org/10.1016/s2215-0366(14)70301-3.
Prisciandaro, J. J., Schacht, J. P., Prescot, A. P., Renshaw, P. F., Brown, T. R., & Anton, R. F. (2016). Associations between recent heavy drinking and dorsal anterior cingulate N-Acetylaspartate and glutamate concentrations in non-treatment-seeking individuals with alcohol dependence. Alcoholism, Clinical and Experimental Research, 40(3), 491–496. https://doi.org/10.1111/acer.12977.
Prisciandaro, J. J., Schacht, J. P., Prescot, A. P., Renshaw, P. F., Brown, T. R., & Anton, R. F. (2019). Brain glutamate, GABA, and glutamine levels and associations with recent drinking in treatment-naive individuals with alcohol use disorder versus light drinkers. Alcoholism, Clinical and Experimental Research, 43(2), 221–226. https://doi.org/10.1111/acer.13931.
Prisciandaro, J. J., Tolliver, B. K., Prescot, A. P., Brenner, H. M., Renshaw, P. F., Brown, T. R., & Anton, R. F. (2017). Unique prefrontal GABA and glutamate disturbances in co-occurring bipolar disorder and alcohol dependence. Transcultural Psychiatry, 7(7), e1163. https://doi.org/10.1038/tp.2017.141.
Schulte, T., Oberlin, B. G., Kareken, D. A., Marinkovic, K., Müller-Oehring, E. M., Meyerhoff, D. J., & Tapert, S. (2012). How acute and chronic alcohol consumption affects brain networks: insights from multimodal neuroimaging. Alcoholism, Clinical and Experimental Research, 36(12), 2017–2027. https://doi.org/10.1111/j.1530-0277.2012.01831.x.
Schweinsburg, B. C., Taylor, M. J., Videen, J. S., Alhassoon, O. M., Patterson, T. L., & Grant, I. (2000). Elevated myo-inositol in gray matter of recently detoxified but not long‐term abstinent alcoholics: a preliminary MR spectroscopy study. Alcoholism: Clinical and Experimental Research, 24(5), 699–705.
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., & Greicius, M. D. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. The Journal of Neuroscience, 27(9), 2349–2356. https://doi.org/10.1523/jneurosci.5587-06.2007.
Silveri, M. M. (2014). GABAergic contributions to alcohol responsivity during adolescence: Insights from preclinical and clinical studies. Pharmacology & Therapeutics, 143(2), 197–216.
Silveri, M. M., Cohen-Gilbert, J., Crowley, D. J., Rosso, I. M., Jensen, J. E., & Sneider, J. T. (2014). Altered anterior cingulate neurochemistry in emerging adult binge drinkers with a history of alcohol-induced blackouts. Alcoholism, Clinical and Experimental Research, 38(4), 969–979. https://doi.org/10.1111/acer.12346.
Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E.,.. . Behrens, T. E. (2006). Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage, 31(4), 1487–1505. doi:https://doi.org/10.1016/j.neuroimage.2006.02.024.
Soares, J. M., Marques, P., Alves, V., & Sousa, N. (2013). A hitchhiker’s guide to diffusion tensor imaging. Frontiers in Neuroscience, 7. https://doi.org/10.3389/fnins.2013.00031.
Streit, F., Treutlein, J., Frischknecht, U., Hermann, D., Mann, K., Kiefer, F., & Witt, S. H. (2018). Glutamate concentration in the anterior cingulate cortex in alcohol dependence: association with alcohol withdrawal and exploration of contribution from glutamatergic candidate genes. Psychiatric Genetics, 28(5), 94.
Sundkvist, G., Dahlin, L. B., Nilsson, H., Eriksson, K. F., Lindgarde, F., Rosen, I., ... Greene, D. A. (2000). Sorbitol and myo-inositol levels and morphology of sural nerve in relation to peripheral nerve function and clinical neuropathy in men with diabetic, impaired, and normal glucose tolerance. Diabetic Medicine, 17(4), 259–268. https://doi.org/10.1046/j.1464-5491.2000.00261.x.
Thoma, R., Mullins, P., Ruhl, D., Monnig, M., Yeo, R. A., Caprihan, A.,.. . Kalyanam, R. (2011). Perturbation of the glutamate–glutamine system in alcohol dependence and remission. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 36(7), 1359.
Vergara, V. M., Liu, J., Claus, E. D., Hutchison, K., & Calhoun, V. (2017). Alterations of resting state functional network connectivity in the brain of nicotine and alcohol users. Neuroimage, 151, 45–54. doi:https://doi.org/10.1016/j.neuroimage.2016.11.012.
Wang, J. J., Durazzo, T. C., Gazdzinski, S., Yeh, P. H., Mon, A., & Meyerhoff, D. J. (2009). MRSI and DTI: a multimodal approach for improved detection of white matter abnormalities in alcohol and nicotine dependence. NMR in Biomedicine, 22(5), 516–522. https://doi.org/10.1002/nbm.1363.
Yeh, P. H., Simpson, K., Durazzo, T. C., Gazdzinski, S., & Meyerhoff, D. J. (2009). Tract-based spatial statistics (TBSS) of diffusion tensor imaging data in alcohol dependence: abnormalities of the motivational neurocircuitry. Psychiatry Research, 173(1), 22–30. https://doi.org/10.1016/j.pscychresns.2008.07.012.
Yeo, R. A., Thoma, R. J., Gasparovic, C., Monnig, M., Harlaar, N., Calhoun, V. D., & Hutchison, K. E. (2013). Neurometabolite concentration and clinical features of chronic alcohol use: a proton magnetic resonance spectroscopy study. Psychiatry Research, 211(2), 141–147. https://doi.org/10.1016/j.pscychresns.2012.05.005.
Zahr, N. M., & Pfefferbaum, A. (2017). Alcohol’s effects on the brain: neuroimaging results in humans and animal models. Alcohol Research, 38(2), 183–206.
Funding
This work was supported by the National Institute on Alcohol Abuse and Alcoholism (NIAAA R01 AA13650, PF; NIAAA F31 AA025518, EJC) and the National Institutes of Health, National Center for Advancing Translational Sciences (UL1TR002529; Indiana Clinical and Translational Sciences Institute; PDT and CTR pilots to HC).
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Author contributions included conception (KKY), data collection, acquisition, and processing (GGG, EJC, MD, HC, SN, UD), statistical analysis (GGG, KKY), interpretation of results (GGG, EJC, MD, KKY), drafting the manuscript work or revising it critically for important intellectual content (GGG, EJC, MD, KKY), and approval of final version to be published and agreement to be accountable for the integrity and accuracy of all aspects of the work (all authors).
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Grecco, G.G., Chumin, E.J., Dzemidzic, M. et al. Anterior cingulate cortex metabolites and white matter microstructure: a multimodal study of emergent alcohol use disorder. Brain Imaging and Behavior 15, 2436–2444 (2021). https://doi.org/10.1007/s11682-020-00443-y
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DOI: https://doi.org/10.1007/s11682-020-00443-y