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Open Access 22-09-2023 | Advanced Neuroimaging

Impact of cannabis use on brain metabolism using ³¹P and ¹H magnetic resonance spectroscopy

Authors: Maximilian Fenzl, Martin Backens, Silviu Bodea, Miriam Wittemann, Florian Werler, Jule Brielmaier, Robert Christian Wolf, Wolfgang Reith

Published in: Neuroradiology | Issue 11/2023

Abstract

Purpose

This prospective cross-sectional study investigated the influence of regular cannabis use on brain metabolism in young cannabis users by using combined proton and phosphorus magnetic resonance spectroscopy.

Methods

The study was performed in 45 young cannabis users aged 18–30, who had been using cannabis on a regular basis over a period of at least 2 years and in 47 age-matched controls. We acquired 31P MRS data in different brain regions at 3T with a double-resonant 1H/31P head coil, anatomic images, and 1H MRS data with a standard 20-channel 1H head coil. Absolute concentration values of proton metabolites were obtained via calibration from tissue water as an internal reference, whereas a standard solution of 75 mmol/l KH2PO4 was used as an external reference for the calibration of phosphorus signals.

Results

We found an overall but not statistically significant lower concentration level of several proton and phosphorus metabolites in cannabis users compared to non-users. In particular, energy-related phosphates such as adenosine triphosphate (ATP) and inorganic phosphate (Pi) were reduced in all regions under investigation. Phosphocreatine (PCr) showed lowered values mainly in the left basal ganglia and the left frontal white matter.

Conclusion

The results suggest that the increased risk of functional brain disorders observed in long-term cannabis users could be caused by an impairment of the energy metabolism of the brain, but this needs to be verified in future studies.

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(UNODC) UNOoDaC (2018) World drugs report. United Nations Publications, Vienna

Hasin DS, Saha TD, Kerridge BT, Goldstein RB, Chou SP, Zhang H et al (2015) Prevalence of marijuana use disorders in the United States between 2001-2002 and 2012-2013. JAMA Psychiatry 72(12):1235–1242. https://doi.org/10.1001/jamapsychiatry.2015.1858 CrossRefPubMedPubMedCentral

Cerdá M, Wall M, Feng T, Keyes KM, Sarvet A, Schulenberg J et al (2017) Association of state recreational marijuana laws with adolescent marijuana use. JAMA Pediatr 171(2):142–149. https://doi.org/10.1001/jamapediatrics.2016.3624 CrossRefPubMedPubMedCentral

Glass M, Dragunow M, Faull RL (1997) Cannabinoid receptors in the human brain: a detailed anatomical and quantitative autoradiographic study in the fetal, neonatal and adult human brain. Neuroscience 77(2):299–318. https://doi.org/10.1016/s0306-4522(96)00428-9 CrossRefPubMed

Herkenham M, Lynn AB, Johnson MR, Melvin LS, de Costa BR, Rice KC (1991) Characterization and localization of cannabinoid receptors in rat brain: a quantitative in vitro autoradiographic study. J Neurosci 11(2):563–583. https://doi.org/10.1523/jneurosci.11-02-00563.1991 CrossRefPubMedPubMedCentral

Terry GE, Hirvonen J, Liow JS, Zoghbi SS, Gladding R, Tauscher JT et al (2010) Imaging and quantitation of cannabinoid CB1 receptors in human and monkey brains using (18)F-labeled inverse agonist radioligands. J Nucl Med 51(1):112–120. https://doi.org/10.2967/jnumed.109.067074 CrossRefPubMed

Meier MH, Caspi A, Ambler A, Harrington H, Houts R, Keefe RS et al (2012) Persistent cannabis users show neuropsychological decline from childhood to midlife. Proc Natl Acad Sci U S A 109(40):E2657–E2664. https://doi.org/10.1073/pnas.1206820109 CrossRefPubMedPubMedCentral

Gonzalez R, Swanson JM (2012) Long-term effects of adolescent-onset and persistent use of cannabis. Proc Natl Acad Sci U S A 109(40):15970–15971. https://doi.org/10.1073/pnas.1214124109 CrossRefPubMedPubMedCentral

Solowij N, Jones KA, Rozman ME, Davis SM, Ciarrochi J, Heaven PC et al (2011) Verbal learning and memory in adolescent cannabis users, alcohol users and non-users. Psychopharmacology 216(1):131–144. https://doi.org/10.1007/s00213-011-2203-x CrossRefPubMed

10.

Whitlow CT, Liguori A, Livengood LB, Hart SL, Mussat-Whitlow BJ, Lamborn CM et al (2004) Long-term heavy marijuana users make costly decisions on a gambling task. Drug Alcohol Depend 76(1):107–111. https://doi.org/10.1016/j.drugalcdep.2004.04.009 CrossRefPubMed

11.

Pope HG Jr, Yurgelun-Todd D (1996) The residual cognitive effects of heavy marijuana use in college students. Jama 275(7):521–527 CrossRefPubMed

12.

Battisti RA, Roodenrys S, Johnstone SJ, Respondek C, Hermens DF, Solowij N (2010) Chronic use of cannabis and poor neural efficiency in verbal memory ability. Psychopharmacology 209(4):319–330. https://doi.org/10.1007/s00213-010-1800-4 CrossRefPubMed

13.

Crean RD, Crane NA, Mason BJ (2011) An evidence based review of acute and long-term effects of cannabis use on executive cognitive functions. J Addict Med 5(1):1–8. https://doi.org/10.1097/ADM.0b013e31820c23fa CrossRefPubMedPubMedCentral

14.

Pope HG Jr, Gruber AJ, Hudson JI, Huestis MA, Yurgelun-Todd D (2001) Neuropsychological performance in long-term cannabis users. Arch Gen Psychiatry 58(10):909–915. https://doi.org/10.1001/archpsyc.58.10.909 CrossRefPubMed

15.

Block RI, O'Leary DS, Hichwa RD, Augustinack JC, Boles Ponto LL, Ghoneim MM et al (2002) Effects of frequent marijuana use on memory-related regional cerebral blood flow. Pharmacol Biochem Behav 72(1-2):237–250. https://doi.org/10.1016/s0091-3057(01)00771-7 CrossRefPubMed

16.

Matochik JA, Eldreth DA, Cadet JL, Bolla KI (2005) Altered brain tissue composition in heavy marijuana users. Drug Alcohol Depend 77(1):23–30. https://doi.org/10.1016/j.drugalcdep.2004.06.011 CrossRefPubMed

17.

Chang L, Yakupov R, Cloak C, Ernst T (2006) Marijuana use is associated with a reorganized visual-attention network and cerebellar hypoactivation. Brain 129(Pt 5):1096–1112. https://doi.org/10.1093/brain/awl064 CrossRefPubMed

18.

Gruber SA, Yurgelun-Todd DA (2005) Neuroimaging of marijuana smokers during inhibitory processing: a pilot investigation. Brain Res Cogn Brain Res 23(1):107–118. https://doi.org/10.1016/j.cogbrainres.2005.02.016 CrossRefPubMed

19.

Bittšanský M, Výbohová D, Dobrota D (2012) Proton magnetic resonance spectroscopy and its diagnostically important metabolites in the brain. Gen Physiol Biophys 31(1):101–112. https://doi.org/10.4149/gpb_2012_007 CrossRefPubMed

20.

Moffett JR, Ross B, Arun P, Madhavarao CN, Namboodiri AM (2007) N-Acetylaspartate in the CNS: from neurodiagnostics to neurobiology. Prog Neurobiol 81(2):89–131. https://doi.org/10.1016/j.pneurobio.2006.12.003 CrossRefPubMedPubMedCentral

21.

Wyss M, Kaddurah-Daouk R (2000) Creatine and creatinine metabolism. Physiol Rev 80(3):1107–1213. https://doi.org/10.1152/physrev.2000.80.3.1107 CrossRefPubMed

22.

Andres RH, Ducray AD, Schlattner U, Wallimann T, Widmer HR (2008) Functions and effects of creatine in the central nervous system. Brain Res Bull 76(4):329–343. https://doi.org/10.1016/j.brainresbull.2008.02.035 CrossRefPubMed

23.

Wasser JS, Vogel L, Guthrie SS, Stolowich N, Chari M (1997) 31P-NMR determinations of cytosolic phosphodiesters in turtle hearts. Comp Biochem Physiol A Physiol 118(4):1193–1200. https://doi.org/10.1016/s0300-9629(97)00046-7 CrossRefPubMed

24.

Kato T, Takahashi S, Shioiri T, Inubushi T (1992) Brain phosphorous metabolism in depressive disorders detected by phosphorus-31 magnetic resonance spectroscopy. J Affect Disord 26(4):223–230. https://doi.org/10.1016/0165-0327(92)90099-r CrossRefPubMed

25.

Conley KE, Ali AS, Flores B, Jubrias SA, Shankland EG (2016) Mitochondrial NAD(P)H in vivo: identifying natural indicators of oxidative phosphorylation in the (31)P magnetic resonance spectrum. Front Physiol 7:45. https://doi.org/10.3389/fphys.2016.00045 CrossRefPubMedPubMedCentral

26.

Hamakawa H, Murashita J, Yamada N, Inubushi T, Kato N, Kato T (2004) Reduced intracellular pH in the basal ganglia and whole brain measured by 31P-MRS in bipolar disorder. Psychiatry Clin Neurosci 58(1):82–88. https://doi.org/10.1111/j.1440-1819.2004.01197.x CrossRefPubMed

27.

Iotti S, Malucelli E (2008) In vivo assessment of Mg2+ in human brain and skeletal muscle by 31P-MRS. Magnes Res 21(3):157–162 PubMed

28.

Parkar SR, Ramanathan S, Nair N, Batra SA, Adarkar SA, Pandit AG et al (2010) Cannabis dependence: effects of cannabis consumption on inter-regional cerebral metabolic relationships in an Indian population. Indian J Psychiatry 52(3):236–242. https://doi.org/10.4103/0019-5545.70976 CrossRefPubMedPubMedCentral

29.

Wittemann M, Brielmaier J, Rubly M, Kennel J, Werler F, Schmitgen MM, Kubera KM, Hirjak D, Wolf ND, Reith W, Wolf RC (2021) Cognition and cortical thickness in heavy cannabis users. Eur Addict Res 27(2):115–122. https://doi.org/10.1159/000509987

30.

Von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP (2007) The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med 147(8):573–577 CrossRef

31.

Provencher SW (1993) Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magn Reson Med 30(6):672–679 CrossRefPubMed

32.

Ernst T, Kreis R, Ross B (1993) Absolute quantitation of water and metabolites in the human brain. I. Compartments and water. J Magn Reson Ser B 102(1):1–8 CrossRef

33.

Mills T, Ortendahl D, Hylton N, Crooks L, Carlson J, Kaufman L (1987) Partial flip angle MR imaging. Radiology 162(2):531–539 CrossRefPubMed

34.

Wansapura JP, Holland SK, Dunn RS, Ball WS Jr (1999) NMR relaxation times in the human brain at 3.0 tesla. Journal of Magnetic Resonance Imaging: An Official Journal of the International Society for. Magn Reson Med 9(4):531–538

35.

Mlynárik V, Gruber S, Moser E (2001) Proton T 1 and T 2 relaxation times of human brain metabolites at 3 tesla. NMR Biomed 14(5):325–331 CrossRefPubMed

36.

Ethofer T, Mader I, Seeger U, Helms G, Erb M, Grodd W et al (2003) Comparison of longitudinal metabolite relaxation times in different regions of the human brain at 1.5 and 3 tesla. Magn Reson Med 50(6):1296–1301 CrossRefPubMed

37.

Träber F, Block W, Lamerichs R, Gieseke J, Schild HH (2004) 1H metabolite relaxation times at 3.0 tesla: measurements of T1 and T2 values in normal brain and determination of regional differences in transverse relaxation. J Magn Reson Imaging 19(5):537–545 CrossRefPubMed

38.

Lu H, Nagae-Poetscher LM, Golay X, Lin D, Pomper M, Van Zijl PC (2005) Routine clinical brain MRI sequences for use at 3.0 tesla. Journal of Magnetic Resonance Imaging: An Official Journal of the International Society for. Magn Reson Med 22(1):13–22

39.

Stanisz GJ, Odrobina EE, Pun J, Escaravage M, Graham SJ, Bronskill MJ et al (2005) T1, T2 relaxation and magnetization transfer in tissue at 3T. Magn Reson Med 54(3):507–512 CrossRefPubMed

40.

Choi C, Coupland NJ, Bhardwaj PP, Kalra S, Casault CA, Reid K et al (2006) T2 measurement and quantification of glutamate in human brain in vivo. Magn Reson Med 56(5):971–977 CrossRefPubMed

41.

Tsai SY, Posse S, Lin YR, Ko CW, Otazo R, Chung HW et al (2007) Fast mapping of the T2 relaxation time of cerebral metabolites using proton echo-planar spectroscopic imaging (PEPSI). Magn Reson Med 57(5):859–865 CrossRefPubMed

42.

Zaaraoui W, Fleysher L, Fleysher R, Liu S, Soher BJ, Gonen O (2007) Human brain-structure resolved T2 relaxation times of proton metabolites at 3 tesla. Magn Reson Med 57(6):983–989 CrossRefPubMed

43.

Li Y, Srinivasan R, Ratiney H, Lu Y, Chang SM, Nelson SJ (2008) Comparison of T1 and T2 metabolite relaxation times in glioma and normal brain at 3T. J Magn Reson Imaging 28(2):342–350 CrossRefPubMedPubMedCentral

44.

Kirov II, Liu S, Fleysher R, Fleysher L, Babb JS, Herbert J et al (2010) Brain metabolite proton T2 mapping at 3.0 T in relapsing-remitting multiple sclerosis. Radiology. 254(3):858–866 CrossRefPubMedPubMedCentral

45.

Ganji SK, Banerjee A, Patel AM, Zhao YD, Dimitrov IE, Browning JD et al (2012) T2 measurement of J-coupled metabolites in the human brain at 3T. NMR Biomed 25(4):523–529 CrossRefPubMed

46.

Bojorquez JZ, Bricq S, Acquitter C, Brunotte F, Walker PM, Lalande A (2017) What are normal relaxation times of tissues at 3 T? Magn Reson Imaging 35:69–80 CrossRefPubMed

47.

Wyss PO, Bianchini C, Scheidegger M, Giapitzakis IA, Hock A, Fuchs A et al (2018) In vivo estimation of transverse relaxation time constant (T2) of 17 human brain metabolites at 3T. Magn Reson Med 80(2):452–461 CrossRefPubMed

48.

Vanhamme L, van den Boogaart A, Van Huffel S (1997) Improved method for accurate and efficient quantification of MRS data with use of prior knowledge. J Magn Reson 129(1):35–43. https://doi.org/10.1006/jmre.1997.1244 CrossRefPubMed

49.

Michaelis T, Merboldt K, Bruhn H, Hänicke W, Frahm J (1993) Absolute concentrations of metabolites in the adult human brain in vivo: quantification of localized proton MR spectra. Radiology 187(1):219–227 CrossRefPubMed

50.

Smith S, Martin P, Davies J, Edwards R, Stevens A (1990) The assessment of treatment response in non-Hodgkin's lymphoma by image guided 31 P magnetic resonance spectroscopy. Br J Cancer 61(3):485–490 CrossRefPubMedPubMedCentral

51.

Rata M, Giles SL, deSouza NM, Leach MO, Payne GS (2014) Comparison of three reference methods for the measurement of intracellular pH using 31P MRS in healthy volunteers and patients with lymphoma. NMR Biomed 27(2):158–162 CrossRefPubMed

52.

Lanza IR, Bhagra S, Nair KS, Port JD (2011) Measurement of human skeletal muscle oxidative capacity by 31P-MR spectroscopy: a cross-validation with in vitro measurements. J Magn Reson Imaging 34(5):1143–1150 CrossRefPubMedPubMedCentral

53.

Sneider JT, Mashhoon Y, Silveri MM (2013) A review of magnetic resonance spectroscopy studies in marijuana using adolescents and adults. J Addict Res Ther Suppl 4. https://doi.org/10.4172/2155-6105.S4-010

54.

Newman SD, Cheng H, Schnakenberg Martin A, Dydak U, Dharmadhikari S, Hetrick W et al (2019) An investigation of neurochemical changes in chronic cannabis users. Front Hum Neurosci 13:318 CrossRefPubMedPubMedCentral

55.

Watts JJ, Garani R, Da Silva T, Lalang N, Chavez S, Mizrahi R (2020) Evidence that cannabis exposure, abuse, and dependence are related to glutamate metabolism and glial function in the anterior cingulate cortex: a (1)H-magnetic resonance spectroscopy study. Front Psychiatry 11:764. https://doi.org/10.3389/fpsyt.2020.00764 CrossRefPubMedPubMedCentral

56.

Cupo L, Plitman E, Guma E, Chakravarty MM (2021) A systematic review of neuroimaging and acute cannabis exposure in age-of-risk for psychosis. Transl Psychiatry 11(1):217 CrossRefPubMedPubMedCentral

57.

Pretzsch CM, Freyberg J, Voinescu B, Lythgoe D, Horder J, Mendez MA et al (2019) Effects of cannabidiol on brain excitation and inhibition systems; a randomised placebo-controlled single dose trial during magnetic resonance spectroscopy in adults with and without autism spectrum disorder. Neuropsychopharmacology. 44(8):1398–1405 CrossRefPubMedPubMedCentral

58.

Zoccatelli G, Alessandrini F, Rimondo C, Beltramello A, Serpelloni G, Ciceri EF (2020) Magnetic resonance spectroscopy in adolescent cannabis users: metabolites in the anterior cingulate cortex reflects individual differences in personality traits and can affect rehabilitation compliance. Neurol India 68(3):640 CrossRefPubMed

59.

Chang L, Cloak C, Yakupov R, Ernst T (2006) Combined and independent effects of chronic marijuana use and HIV on brain metabolites. J NeuroImmune Pharmacol 1(1):65–76. https://doi.org/10.1007/s11481-005-9005-z CrossRefPubMedPubMedCentral

60.

Hermann D, Sartorius A, Welzel H, Walter S, Skopp G, Ende G et al (2007) Dorsolateral prefrontal cortex N-acetylaspartate/total creatine (NAA/tCr) loss in male recreational cannabis users. Biol Psychiatry 61(11):1281–1289. https://doi.org/10.1016/j.biopsych.2006.08.027 CrossRefPubMed

61.

Prescot AP, Locatelli AE, Renshaw PF, Yurgelun-Todd DA (2011) Neurochemical alterations in adolescent chronic marijuana smokers: a proton MRS study. Neuroimage. 57(1):69–75. https://doi.org/10.1016/j.neuroimage.2011.02.044 CrossRefPubMed

62.

Sung YH, Carey PD, Stein DJ, Ferrett HL, Spottiswoode BS, Renshaw PF et al (2013) Decreased frontal N-acetylaspartate levels in adolescents concurrently using both methamphetamine and marijuana. Behav Brain Res 246:154–161. https://doi.org/10.1016/j.bbr.2013.02.028 CrossRefPubMedPubMedCentral

63.

von Jonquieres G, Spencer ZHT, Rowlands BD, Klugmann CB, Bongers A, Harasta AE et al (2018) Uncoupling N-acetylaspartate from brain pathology: implications for Canavan disease gene therapy. Acta Neuropathol 135(1):95–113. https://doi.org/10.1007/s00401-017-1784-9 CrossRef

64.

Simmons ML, Frondoza CG, Coyle JT (1991) Immunocytochemical localization of N-acetyl-aspartate with monoclonal antibodies. Neuroscience. 45(1):37–45. https://doi.org/10.1016/0306-4522(91)90101-s CrossRefPubMed

65.

Nordengen K, Heuser C, Rinholm JE, Matalon R, Gundersen V (2015) Localisation of N-acetylaspartate in oligodendrocytes/myelin. Brain Struct Funct 220(2):899–917. https://doi.org/10.1007/s00429-013-0691-7 CrossRefPubMed

66.

Paslakis G, Träber F, Roberz J, Block W, Jessen F (2014) N-acetyl-aspartate (NAA) as a correlate of pharmacological treatment in psychiatric disorders: a systematic review. Eur Neuropsychopharmacol 24(10):1659–1675. https://doi.org/10.1016/j.euroneuro.2014.06.004 CrossRefPubMed

67.

Woolf NJ (2006) Acetylcholine, cognition, and consciousness. J Mol Neurosci 30(1-2):219–222. https://doi.org/10.1385/jmn:30:1:219 CrossRefPubMed

68.

Soreq H (2015) Checks and balances on cholinergic signaling in brain and body function. Trends Neurosci 38(7):448–458. https://doi.org/10.1016/j.tins.2015.05.007 CrossRefPubMed

69.

Cohen EJ, Quarta E, Fulgenzi G, Minciacchi D (2015) Acetylcholine, GABA and neuronal networks: a working hypothesis for compensations in the dystrophic brain. Brain Res Bull 110:1–13. https://doi.org/10.1016/j.brainresbull.2014.10.004 CrossRefPubMed

70.

Cohen BM, Renshaw PF, Stoll AL, Wurtman RJ, Yurgelun-Todd D, Babb SM (1995) Decreased brain choline uptake in older adults. An in vivo proton magnetic resonance spectroscopy study. Jama. 274(11):902–907 CrossRefPubMed

71.

Cosgrove KP, Mazure CM, Staley JK (2007) Evolving knowledge of sex differences in brain structure, function, and chemistry. Biol Psychiatry 62(8):847–855 CrossRefPubMedPubMedCentral

72.

Baxter LR Jr, Mazziotta JC, Phelps ME, Selin CE, Guze BH, Fairbanks L (1987) Cerebral glucose metabolic rates in normal human females versus normal males. Psychiatry Res 21(3):237–245 CrossRefPubMed

73.

Hsieh TC, Lin WY, Ding HJ, Sun SS, Wu YC, Yen KY et al (2012) Sex-and age-related differences in brain FDG metabolism of healthy adults: an SPM analysis. J Neuroimaging 22(1):21–27 CrossRefPubMed

74.

Pettegrew JW, Kopp SJ, Minshew NJ, Glonek T, Feliksik JM, Tow JP et al (1987) 31P nuclear magnetic resonance studies of phosphoglyceride metabolism in developing and degenerating brain: preliminary observations. J Neuropathol Exp Neurol 46(4):419–430. https://doi.org/10.1097/00005072-198707000-00002 CrossRefPubMed

75.

van der Knaap MS, van der Grond J, van Rijen PC, Faber JA, Valk J, Willemse K (1990) Age-dependent changes in localized proton and phosphorus MR spectroscopy of the brain. Radiology 176(2):509–515. https://doi.org/10.1148/radiology.176.2.2164237 CrossRefPubMed

76.

Lee J-H, Komoroski R, Chu W-J, Dudley J (2012) Methods and applications of phosphorus NMR spectroscopy In Vivo. https://doi.org/10.1016/B978-0-12-397018-3.00003-X

77.

Binder JR (2017) Current controversies on Wernicke's area and its role in language. Curr Neurol Neurosci Rep 17(8):58. https://doi.org/10.1007/s11910-017-0764-8 CrossRefPubMed

78.

Winton-Brown TT, Allen P, Bhattacharyya S, Borgwardt SJ, Fusar-Poli P, Crippa JA et al (2011) Modulation of auditory and visual processing by delta-9-tetrahydrocannabinol and cannabidiol: an FMRI study. Neuropsychopharmacology 36(7):1340–1348. https://doi.org/10.1038/npp.2011.17 CrossRefPubMedPubMedCentral

79.

Kato T, Murashita J, Kamiya A, Shioiri T, Kato N, Inubushi T (1998) Decreased brain intracellular pH measured by 31P-MRS in bipolar disorder: a confirmation in drug-free patients and correlation with white matter hyperintensity. Eur Arch Psychiatry Clin Neurosci 248(6):301–306. https://doi.org/10.1007/s004060050054 CrossRefPubMed

80.

Koshiyama D, Fukunaga M, Okada N, Morita K, Nemoto K, Yamashita F et al (2018) Role of frontal white matter and corpus callosum on social function in schizophrenia. Schizophr Res 202:180–187. https://doi.org/10.1016/j.schres.2018.07.009 CrossRefPubMed

81.

Ishibashi M, Kimura N, Aso Y, Matsubara E (2018) Effects of white matter lesions on brain perfusion in patients with mild cognitive impairment. Clin Neurol Neurosurg 168:7–11. https://doi.org/10.1016/j.clineuro.2018.02.030 CrossRefPubMed

82.

Daianu M, Mendez MF, Baboyan VG, Jin Y, Melrose RJ, Jimenez EE et al (2016) An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer's disease. Brain Imaging Behav 10(4):1038–1053. https://doi.org/10.1007/s11682-015-9458-5 CrossRefPubMed

83.

Ohtani T, Nestor PG, Bouix S, Saito Y, Hosokawa T, Kubicki M (2014) Medial frontal white and gray matter contributions to general intelligence. PLoS One 9(12):e112691. https://doi.org/10.1371/journal.pone.0112691 CrossRefPubMedPubMedCentral

84.

Bostan AC, Dum RP, Strick PL (2018) Functional anatomy of basal ganglia circuits with the cerebral cortex and the cerebellum. Prog Neurol Surg 33:50–61. https://doi.org/10.1159/000480748 CrossRefPubMed

85.

Cotterill RM (2001) Cooperation of the basal ganglia, cerebellum, sensory cerebrum and hippocampus: possible implications for cognition, consciousness, intelligence and creativity. Prog Neurobiol 64(1):1–33. https://doi.org/10.1016/s0301-0082(00)00058-7 CrossRefPubMed

86.

Ford TC, Hayley AC, Downey LA, Parrott AC (2017) Cannabis: an overview of its adverse acute and chronic effects and its implications. Curr Drug Abuse Rev 10(1):6–18. https://doi.org/10.2174/1874473710666170712113042 CrossRefPubMed

87.

Orr JM, Paschall CJ, Banich MT (2016) Recreational marijuana use impacts white matter integrity and subcortical (but not cortical) morphometry. Neuroimage Clin 12:47–56. https://doi.org/10.1016/j.nicl.2016.06.006 CrossRefPubMedPubMedCentral

88.

Rigucci S, Marques TR, Di Forti M, Taylor H, Dell'Acqua F, Mondelli V et al (2016) Effect of high-potency cannabis on corpus callosum microstructure. Psychol Med 46(4):841–854. https://doi.org/10.1017/s0033291715002342 CrossRefPubMed

89.

Demirakca T, Sartorius A, Ende G, Meyer N, Welzel H, Skopp G et al (2011) Diminished gray matter in the hippocampus of cannabis users: possible protective effects of cannabidiol. Drug Alcohol Depend 114(2-3):242–245. https://doi.org/10.1016/j.drugalcdep.2010.09.020 CrossRefPubMed

90.

Helmstaedter C, Kurthen M, Linke DB, Elger CE (1994) Right hemisphere restitution of language and memory functions in right hemisphere language-dominant patients with left temporal lobe epilepsy. Brain 117(Pt 4):729–737. https://doi.org/10.1093/brain/117.4.729 CrossRefPubMed

91.

Ridding MC, Flavel SC (2006) Induction of plasticity in the dominant and non-dominant motor cortices of humans. Exp Brain Res 171(4):551–557. https://doi.org/10.1007/s00221-005-0309-2 CrossRefPubMed

92.

Zago L, Hervé PY, Genuer R, Laurent A, Mazoyer B, Tzourio-Mazoyer N et al (2017) Predicting hemispheric dominance for language production in healthy individuals using support vector machine. Hum Brain Mapp 38(12):5871–5889. https://doi.org/10.1002/hbm.23770 CrossRefPubMedPubMedCentral

93.

Herzig DA, Sullivan S, Lewis G, Corcoran R, Drake R, Evans J et al (2015) Hemispheric language asymmetry in first episode psychosis and schizotypy: the role of cannabis consumption and cognitive disorganization. Schizophr Bull 41(suppl_2):S455–SS64 CrossRefPubMed

94.

Hellem T, Shi X, Latendresse G, Renshaw PF (2015) The utility of magnetic resonance spectroscopy for understanding substance use disorders: a systematic review of the literature. J Am Psychiatr Nurses Assoc 21(4):244–275. https://doi.org/10.1177/1078390315598606 CrossRefPubMedPubMedCentral

95.

Rose JE, Behm FM, Westman EC, Mathew RJ, London ED, Hawk TC et al (2003) PET studies of the influences of nicotine on neural systems in cigarette smokers. Am J Psychiatry 160(2):323–333. https://doi.org/10.1176/appi.ajp.160.2.323 CrossRefPubMed

96.

Paulson OB, Vigdis I (2020) Cigarette smoking and cerebral blood flow in a cohort of middle-aged adults. J Cereb Blood Flow Metab 40(4):904–905. https://doi.org/10.1177/0271678x20905609 CrossRefPubMedPubMedCentral

97.

Dager SR, Friedman SD (2000) Brain imaging and the effects of caffeine and nicotine. Ann Med 32(9):592–599. https://doi.org/10.3109/07853890009002029 CrossRefPubMed

98.

Sharma P, Murthy P, Bharath MM (2012) Chemistry, metabolism, and toxicology of cannabis: clinical implications. Iran J Psychiatry 7(4):149–156 PubMedPubMedCentral

Title: Impact of cannabis use on brain metabolism using 31P and 1H magnetic resonance spectroscopy
Authors: Maximilian Fenzl
Martin Backens
Silviu Bodea
Miriam Wittemann
Florian Werler
Jule Brielmaier
Robert Christian Wolf
Wolfgang Reith
Publication date: 22-09-2023
Publisher: Springer Berlin Heidelberg
Published in: Neuroradiology / Issue 11/2023
Print ISSN: 0028-3940
Electronic ISSN: 1432-1920
DOI: https://doi.org/10.1007/s00234-023-03220-y

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Impact of cannabis use on brain metabolism using ³¹P and ¹H magnetic resonance spectroscopy

Abstract

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Keynote Webinar | Spotlight on Diet and Diabetes

Springer Medicine

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