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J Addict Res Ther. Author manuscript; available in PMC 2014 February 27.
Published in final edited form as: J Addict Res Ther. ; Suppl 4: . doi:10.4172/2155-6105.S4-010.

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A Review of Magnetic Resonance Spectroscopy Studies in Marijuana using Adolescents and Adults
Jennifer T Sneider1,3,*, Yasmin Mashhoon2,3, and Marisa M Silveri1,3 1Neurodevelopmental Laboratory on Addictions and Mental Health, McLean Imaging Center, McLean Hospital, Belmont, MA, USA
2Behavioral

Psychopharmacology Research Laboratory, McLean Imaging Center, McLean Hospital, Belmont, MA USA
3Department

of Psychiatry, Harvard Medical School, Boston, MA, USA

Abstract
Marijuana (MJ) remains the most widely used illicit drug of abuse, and accordingly, is associated with adverse effects on mental and physical health, and neurocognitive decline. Studies investigating the neurobiology of underlying MJ effects have demonstrated structural and functional alterations in brain areas that contain moderate to high concentrations of cannabinoid (CB1) receptors and that are implicated in MJ-related cognitive decrements. Proton magnetic resonance spectroscopy (1H MRS), a non-invasive imaging technique used to assess neurochemistry, has been widely applied to probe a variety of substance-abusing populations. To date, however, there is a relative paucity of MRS published studies characterizing changes in neurometabolite concentrations in MJ users. Thus, the current review provides a summary of data from the eight existing MRS studies of MJ use in adolescents and adults, as well as interpretations and implications of study findings. Future MRS studies that address additional factors such as sex differences, onset and duration of use, abstinence and age, are warranted, and would lead to a more thorough characterization of potential neurochemical correlates of chronic MJ use, which would fill critical gaps in the existing literature.

Keywords Marijuana; Cannabis; Neurochemistry; Magnetic resonance spectroscopy; Magnetic resonance spectroscopic imaging; Adolescence; Adulthood

Introduction
Marijuana (MJ) research continues to be a major area of investigation, since it remains the most widely used illicit drug of abuse in the United States [1]. Frequent long-term MJ use can have serious adverse effects on mental and physical health, as well as work performance, family and school interactions [2]. According to the 2011 Monitoring the Future study, daily MJ use is on the rise, with approximately one in fifteen high school seniors reporting current daily or near-daily MJ use [3]. It is not surprising that MJ use has

Copyright: © 2013 Sneider JT, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. * Corresponding author: Jennifer Tropp Sneider, McLean Hospital/Harvard Medical School, McLean Imaging Center, 115 Mill Street, Mail Stop 204, Belmont, MA 02478, Tel: 617.855.3633; Fax: 617 855 2770; jtsneider@mclean.harvard.edu.

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been increasing among teens, as perceived risks associated with MJ use have been falling over the past five years, as well as a decline in disapproval of using MJ [3]. The availability of MJ and early age of onset of use has been shown to be highly predictive of MJ use initiation, frequency of use, and MJ dependence [4]. Given that adolescence is a developmental period characterized by rapid functional and structural brain changes, identifying neurodevelopmental vulnerabilities associated with early and escalating MJ use during adolescence and the enduring effects of continued heavy use into adulthood, are critical [5]. Delta-9-tetrahydrocannabinol (Δ9-THC) is the main psychoactive component of MJ, which acts on cannabinoid (CB1) receptors that are densely distributed within brain networks critical for learning, memory, attention, cognitive processing, and motor control [6], Brain regions within these networks that contain moderate to high concentrations of CB1 binding sites include the hippocampus, frontal cortex, inferior temporal gyrus and occipito-temporal gyrus, amygdala, thalamus, cerebellum, and basal ganglia [6–8]. Consistent with the known anatomical distribution of CB1 receptors, studies have shown corresponding MJ-related functional and neurobiological alterations in these brain regions. Accordingly, a number of empirical neuropsychological studies have shown that chronic MJ use negatively impacts attention, frontal executive function, emotional processing, motor skills, and memory, in adolescent [9–11] and adult MJ users [12–16]. While a meta-analytic study failed to report substantial long-term neurocognitive deficits associated with MJ use in adults, notable deficits have been reported in the domains of learning and memory [17]. Impairments in cognitive processing measured across multiple cognitive domains may reflect the consequences of MJ-related neurobiological alterations and/or compensatory reorganization of brain structure and function. Magnetic resonance imaging (MRI) methods, including diffusion tensor imaging (DTI), have been utilized to investigate the effects of MJ on brain structure [18,21]. Findings have revealed reductions in frontal region fractional anisotropy in long-term MJ users, indicating compromised white matter (WM) fiber bundle integrity, as well as impaired axonal fiber connectivity in the hippocampal fornix and splenium of the corpus callosum, indicating micro structural disturbances to WM fiber trajectories [18,22]. Persistent short-term MJ use during critical neurodevelopmental periods interferes with typical maturation, as adolescent MJ users have shown altered frontal region and insula cortical thickness, reflective of potentially aberrant gray matter (GM) development or maturation [21]. Functional magnetic resonance imaging (fMRI) has been widely used for studying alterations in functional brain activation related to MJ use during the performance of cognitive challenge tasks [23–27], A recent comprehensive review of fMRI studies is available from Batalla et al., providing a detailed overview of neuroimaging studies of chronic effects of MJ use on brain structure and function [28]. Cerebral blood volume (CBV) studies have also been conducted to investigate MJ effects on cerebral hemodynamics, with dynamic susceptibility contrast magnetic resonance imaging (DSC MRI) demonstrating that while CBV levels begin to normalize with continued abstinence from MJ, specifically in frontal areas, other temporal and cerebellar brain regions show slower CBV decreases after the cessation of active use [29,30], Proton magnetic resonance spectroscopy (1H MRS) is another type of non-invasive imaging technique that has been applied, using single voxel or multiple voxel (magnetic resonance spectroscopic Imaging, MRSI) acquisition schemes, to characterize alterations in neurometabolites that reflect cellular health and bioenergetics [31]. There is a paucity of studies, however, utilizing MRS to investigate the influence of chronic MJ use on brain chemistry [32,33]. As illustrated in Figure 1, in vivo 1H MRS permits the ability to detect

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and quantify cerebral metabolites including N-acetyl-aspartate (NAA), myo-inositol (mI), creatine (Cr), cytosolic choline (Cho), and glutamate (Glu). NAA contributes the largest signal, second to unsupressed water, in the proton spectrum, and is found primarily in neurons [34,35]. Though a topic of much debate, NAA has generally been regarded as a biomarker indicating neuronal viability [34]. Total Cr (tCr; creatine plus phosphocreatine) plays a major role in energy metabolism in brain, acting both as an energy buffer by maintaining constant brain adenosine triphosphate (ATP) levels through the creatine kinase reaction and by distributing energy (via mitochondria) within the brain [36,37]. A number of resonances contribute to the Cho signal (i.e., choline-containing compounds including free choline, glycerolphosphocholine and phosphocholine (GPC and PC, respectively), with these compounds being involved in pathways of cellular membrane synthesis and degradation [38]. As a marker of astroglial function, mI actively contributes to cell volume regulation and neuronal energy utilization [39,40]. Finally, Glu is a major excitatory neurotransmitter found in all brain cell types, with the highest concentration generally being found in neurons, or GM tissue. Characterizing changes in neurometabolite concentrations in areas known to be affected structurally and functionally by chronic MJ use could potentially provide a neurochemical context for these alterations and further substantiate the growing evidence in the field of MJ’s neurobiological and cognitive consequences. Despite the wide application of MRS to study drug effects on brain chemistry, particularly in studies of alcohol abuse and dependence, only eight papers have been published to date that have empirically examined MJ effects on brain chemistry using MRS [41,42]. To this end, the current review focuses on the available MRS studies of MJ use in adults, as well as in adolescents. A general discussion is provided for the overall findings from each study, along with implications and future directions for imaging research on MJ abuse in adolescents and adults.

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Electronic searches were performed using PubMed and Embase to identify published MRS studies using the following key words: ‘marijuana’; ‘cannabis’; in combination with ‘MRS’; ‘MRSI’; or ‘proton MRS’. Methods that utilized other neuroimaging modalities such as computerized tomography (CT), positron emission tomography (PET), structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional magnetic resonance imaging (fMRI), cerebral blood flow (CBF) or cerebral blood volume (CBV) were not included in the electronic search.

The available eight studies utilizing MRS to investigate alterations in neurochemistry associated with MJ use are detailed in table 1 and study findings, stratified by adult or adolescent populations, are summarized below. To date, five MRS studies investigating MJ effects in adult populations have been published. Chang et al. reported lower NAA, ml, Cho, and Glu in the basal ganglia, but elevated thalamic Cr in HIV-negative chronic MJ users [43]. Notably, NAA differences were observed regardless of HIV status, a finding that did not survive post hoc comparisons, and was not observed in the MJ-only group. Metabolite alterations were observed in the absence of neuropsychological performance deficits. In addition, increased frontal WM Glu was associated with history of MJ use in the HIV-positive MJ users, indicating that length of use significantly predicts magnitude of metabolite alterations [43]. In a MRS study by Hermann and colleagues, lower NAA/tCr ratios were observed in the dorsolateral prefrontal cortex (DLPFC) of recreational MJ users [44]. Cowan et al. based on previous evidence that the

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neuronal marker NAA and the glial marker mI are altered in ecstasy users, examined the influence of lifetime cannabis use in combination with recreational ecstasy use [45]. Lower NAA/Cr levels were evident in Brodmann area (BA) 45 in the frontal lobe, the inferior frontal gyrus region associated with verbal memory processing. The observed metabolite alterations were not observed in BA 18 (secondary visual cortex) or BA 21 (middle temporal gyrus). In a set of studies utilizing MRSI by Silveri et al., evidence for lower mI/ Cr levels were observed in MJ-dependent young men [33,46]. While lower mI/Cr levels were observed on a global level throughout the medial temporal lobe (MTL) region, with greater alterations observed in predominantly WM tissue, additional regional analyses revealed that lower mI/Cr levels were specific to the left thalamus [33,46], Significant correlations were also observed, with mI levels predicting impulsiveness and mood symptoms in the MJ-using group. To the extent that early initiation of MJ use occurs during the neuromaturational period of adolescence, three MRS studies to date have examined neurochemical alterations associated with MJ use in adolescent populations. In work by Prescot et al., adolescent chronic MJ users demonstrated significantly lower Glu, NAA, tCr and mI in the ACC than healthy agematched non-users [32]. In addition, recent work by the same group extended MRS alterations in the same set of adolescent MJ users to include lower levels of gammaaminobutyric acid (GABA), also observed in the ACC [47]. In a study of polydrug using adolescents from South Africa, adolescents who used methamphetamine (MA) + MJ exhibited significantly lower frontal lobe NAA/tCr ratios relative to similarly aged healthy non-users and those who used methamphetamine alone [48],

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Discussion
Emerging empirical data indicate converging evidence for neurochemical alterations in MJ users, with lower NAA being the most frequently observed alteration, apparent in six out of the eight published studies. Lower NAA levels were observed in frontal lobe regions of interest, including the DLPFC, ACC, inferior frontal gyrus and midfrontal GM. Thus, NAA may be a more sensitive marker reflecting MJ neurotoxic effects on neuronal viability. Notably, when frontal lobe regions of interest were included in the MRS study design, NAA alterations were observed in the youngest study participants. The second most common finding was lower mI, observed globally in MTL WM and regionally specific to the left thalamus, in the basal ganglia and in the ACC. Given the role of mI in inflammatory responses, observed lower mI levels are suggestive of MJ-related immunosuppression. Importantly, when age was included as a covariate in the analysis of mI levels in participants who were in their fourth decade of life, mI differences were no longer statistically significant in the basal ganglia, suggesting that age is an important factor when examining interactions between neurochemical levels and MJ use [49]. The one published study documenting evidence of alterations in frontal lobe GABA levels in adolescent MJ users suggests that GABAergic abnormalities may contribute to frontal dysfunctions associated with MJ use, however, it is difficult to discern whether or not this was a focal MJ-related alteration, as no other comparison brain regions were examined [47], Nonetheless, this is consistent with animal models demonstrating that cannabinoids modulate the GABA system via the CB1 receptor with some evidence that interactions between the GABA and cannabinoid systems are more pronounced in adolescent animals likely due in part to ongoing development of the GABA and cannabinoid systems during adolescence [50–56], Relationships between metabolite levels, clinical and cognitive variables examined in some of these published studies were significant, indicating that metabolite levels may be useful predictors of altered functioning associated with MJ use. The most frequent relationships reported with metabolite levels were with duration or frequency of MJ use: with greater

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amounts of MJ use being associated with lower Cho, lower NAA and lower mI. Only two published studies, which examined the same cohort of MJ-dependent young men, reported significant correlations between impulsiveness and mood and global mI levels in MTL WM and in the left thalamus. Low mI levels, indicative of suppression of glial function and which may lead to alterations in neuronal function and efficiency, was associated with less impulse control. It is plausible that greater levels of impulsiveness led to the initiation of MJ use in the first place, necessitating the need to characterize antecedents, as well as consequences of MJ use. None of the other MRS studies published to date reported significant relationships between metabolite levels and behavioral data. It is possible that the relatively small sample sizes included in each of these studies, the largest of which included 24 HIV− MJ users, precluded the ability to detect significant differences or relationships due to a lack of statistical power [43]. Clearly brain region of interest and metabolites of interest, along with duration of MJ use, have emerged as important factors for identifying neurochemical correlates of MJ use. It should also be noted that two of the published studies included MJ-users who were also using additional substances. One study reported findings from MA + MJ adolescent users relative to those using MA alone, thereby limiting conclusions regarding the impact of MJ on neurochemistry, although significant correlations with MJ use were reported [48]. The second study included recreational young adult drug users who were using ecstasy, alcohol, MJ and cocaine, with no MJ-only group or matched non-using comparison group, again limiting conclusions about MJ use alone [45]. Finally, the largest study published to date included MJ users who were both HIV+ and HIV−. Given that the MJ-only group was significantly younger than the other three groups, conclusions drawn from this study are also limited. There are other methodological factors that should also be considered, including variables associated with drug consumption, co-morbid psychiatric conditions, and age and sex differences. For instance, period of abstinence from MJ use, this was not accounted for in any of the published studies. To the extent that washout period may play an important role in recovery of neurometabolite concentrations, empirical investigation of length of abstinence should be examined in future studies. Structured clinical interviews confirmed MJ dependence in three of the eight studies, whereas the five remaining studies included heavy users. Thus, it is important to consider the potential risk factors and effects of psychiatric comorbidity, especially given recent reports that MJ use is associated with earlier onset of psychosis and psychotic thinking and that lower NAA/tCr ratios in the DLPFC and associated neuropsychological deficits have been reported in patients with schizophrenia [57–60]. The age of the participants in the eight studies ranged from approximately 15 to 45 years, limiting comparisons across studies. However, given that the frontal cortex undergoes the most substantial changes during adolescence, and the onset of drug use often occurs during this period, age of testing in a very important variable to include in MRS investigations of MJ use [61]. Indeed, drug use during the adolescent period may alter the healthy development of the brain via neurotoxic effects of substances on neurochemistry, with polydrug use leading to even greater neurochemical alterations during this critical period of brain development [48]. Finally, there is a significant need for the investigation of sex differences in neurochemistry, underscored by the inclusion of only eight females collectively in MJ-only groups across each of the eight MRS/MRSI studies. In light of sexspecific findings from other non-MRS studies of MJ use, as well as reports on the role of the menstrual cycle phase and sex hormones on neurochemical metabolites identifying potential sex differences in MJ-related alterations of brain metabolite concentrations will significantly contribute to this growing literature [55,62,63],

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There are challenges associated with MRS acquisition and quantification that are necessary to consider when interpreting MRS data. Increasing scanner field strength permits increased MR signal, which is field strength dependent, thereby increasing overall sensitivity. Only one published study acquired MRS data at 1.5 Tesla, whereas all other MRS data were acquired at relatively higher field strengths of 3.0 and 4.0 Tesla. The method chosen for spatial localization also can impact the quality of the data collected, with single voxel spectra typically having higher resolution than spectra acquired using MRSI. An advantage of MRSI, however, is the extraction of metabolite spectra from multiple adjacent voxels that can be selected from various regions of interest and investigated during post-processing of MRS data. The choice of spatial localization approach is dependent, therefore, on the a priori hypotheses of the study. It is also important to empirically quantify tissue contributions in the voxel or voxels of interest, as previous studies have shown that proton metabolite concentrations vary with tissue type [64]. Another important factor to consider is the selection of an unbiased reference standard with which to derive absolute metabolite concentrations, rather than assuming that the usual internal references (i.e., Cr, water) are unchanged between populations. As such, the majority of MJ studies conducted to date have utilized either Cr or unsuppressed water as a denominator for determining metabolite ratios, with the exception of the study by Chang and colleagues, who determined absolute concentrations. Cr has typically been considered a relatively stable in vivo metabolite peak, which is typically maintained at constant levels in healthy tissue, and therefore routinely used for determining metabolite ratios. The investigation by Chang and colleagues showed that Cr levels varied between subject populations, thereby reducing the likelihood that Cr is an unbiased denominator. The unsuppressed peak arising from water is also routinely used as an internal reference for calculating metabolite ratios, as used by Prescot et al. [32] group, but also is complicated due to the need to discriminate between water in tissue versus water in CSF, which can differ in measurement up to 10–40% [65,66]. Notably, although each of these studies used varying acquisition methods, different field strengths, and examined a variety of regions of interest, there remains converging evidence for an overall trend for MJrelated disruptions in NAA and mI concentrations.

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Conclusion and Future Directions
In summary, this review of the existing MRS/MRSI studies of MJ use demonstrates evidence that smoking MJ alters brain metabolite levels, suggesting a potential neurotoxic effect of marijuana that could be related to a reduction in neuronal viability and altered inflammatory responses associated with chronic use. Future work is warranted to investigate relationships of neurochemical alterations with correlates of clinical and cognitive variables and risk-taking behaviors. Data from this limited collection of studies indicate that this is a significantly understudied area of research, warranting additional investigations, since this review was limited to only eight published studies utilizing MRS to investigate MJ-related alterations in brain chemistry. First, studies should be conducted to characterize the effects of MJ use using a prospective design that follows early onset users from initiation of use, through the critical period of brain development, and into the early 20s, i.e., neurobiological adulthood, when adolescent maturational changes begin to plateau [67,68]. Second, future studies should specifically target MJ use in females, in order to address potential sexspecific differences in the neurochemical consequences of MJ use, which could offer some insight for tailoring individual treatment plans. Third, given that duration of MJ use has been correlated with metabolite alterations across the majority of the available MRS studies, it will be important to characterize and elucidate the effects of extended periods of marijuana exposure, as well as abstinence, on proton metabolite levels and recovery in both younger and older cohorts. Lastly, given that recent pharmacological interventions targeting the GABA system in adults offer some promise for improved recovery from MJ dependence, a more detailed understanding of MJ effects on this inhibitory neurotransmitter system in
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human subjects is needed [69,70]. Thus, there are a number of future directions for research in this area, utilizing powerful non-invasive methods for assaying in vivo neurochemistry, which would fill critical gaps in the existing MJ use literature.

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Acknowledgments
The authors wish to acknowledge Dr. J. Eric Jensen, Director of the High-Field In vivo Spectroscopy/Imaging Program at McLean Hospital, for providing the sample spectrum and for sharing his vast knowledge and MRS expertise. This work was supported by NIDA grant K01 DA034028 (YM) and NIAAA grant R01 AA018153 (MMS).

Abbreviations
1H

Proton anterior cingulate cortex Brodmann Area Beck Depression Inventory basal ganglia Barratt Impulsiveness Scale Cerebral Blood Volume choline healthy control group creatine Cerebrospinal fluid dorsolateral prefrontal cortex Dynamic Susceptibility Contrast Diffusion Tensor Imaging female Functional magnetic resonance imaging frontal white matter gamma-aminobutyric acid Glutamine glutamate Glutamine/Glutamate/GABA complex gray matter normalized water signal hippocampus Kiddie-Schedule for Affective Disorders and Schizophrenia left methamphetamine myo-Inositol

ACC BA BDI BG BIS CBV Cho CON Cr CSF DLPFC DSC DTI F fMRI FWM GABA Gin Glu Glx GM H20 HC K-SADS l MA mI

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MJ

marijuana Magnetic Resonance Imaging magnetic resonance spectroscopy magnetic resonance spectroscopic imaging medial temporal lobe N-acetyl-aspartate non-using occipital parietal posterior cingulate cortex phosphocreatine parieto-occipital cortex Profile of Mood States right recreational single voxel total Tesla temporal cortex thalamus Δ9 tetrahydrocannabinol ventral tegmental area white matter

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MRI MRS MRSI MTL NAA NU Occ Par PCC PCr POC POMS r rec SV t T TC Thai THC VTA WM

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Figure 1.

Sample Single Voxel Thalamic 1H Spectrum. Axial anatomical image illustrating the placement of a single voxel (2 × 2 × 3cm) in the right thalamus of a healthy subject acquired at 4.0 Tesla using 2D-JPRESS, and the associated 1H spectrum (below). Abbreviations: tCr (Cr + PCr), total creatine; Glx, glutamine/glutamine/GABA complex; ml, myo-inositol; tCho, total choline; Glu, glutamate; NAA, N-acetylaspartate.

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Table 1

Proton Magnetic Resonance Spectroscopy Investigations of Marijuana Effects.
Participants Age Marijuana Use Classification Regions of Interest MRS Results Field Strength & Spatial Localization Clinical or Cognitive MRS Correlates

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Authors & Year

Chang et al., 2006 [43] > 4 days/week 4T Varian SV MRS Thal, rBG, FWM, CBV, rPar WM, occ WM

42 HIV+ 21 MJ (3F) 21 CON (4F) 54 HIV− 24 MJ (4F) 30 CON (6F) 42.7 ± 1.7 44.2 ± 3.0 36.3 ± 2.3 42.2 ± 2.2 ↓BG [NAA] HIV+− MJ [ml] [Cho] [Glu] HIV− MJ ↑ Thai [Cr] HIV− MJ ↑ FWM [Glu] HIV+ MJ 13 MJ (0F) 13 CON (OF) near-daily MJ use ↓ DLPFC NAA/tCr MJ 22.2 ± 2.0 23.0 ± 2.0 1.5T Siemens MRSI BG, Thal, DLPFC, FWM, HC, VTA, ACC, PCC IBA18, BA21.BA45 no non-MJ group comparisons none significant

Hermann et al., 2007 [44] 17 polypro (aF) (ecst, ale, MJ, coc) 21.6 ± 2.7 ≥ 500 lifetime episodes of MJ use 3T GE 3T Philips SV MRS 3T Siemens SV MRS ACC

Cowan et al., 2009 [45] 17 MJ (2F) 17 CON (9F) 17.8 ± 1.1 16.2 ± 2.1 ≥ 100 past year MJ use

Prescot et al.,2011 [32]

↓ ACC Glu/H20 NAA/H20 tCr/H20 ml/H20 MJ

Silveri et al.,2011 [33] 15 MJ-depend (0F) 11 NU (OF) 21.2 ± 3.4 25.0 ± 4.8 DSM-IV criteria for MJ dependence 4T Varian MRSI multiple voxels in MTL

↓ global ml/Cr MJ ↓ WM ml/Cr MJ

Sung et al.,2013 [48] K-SADS criteria for MJ dependence 3T Siemens SVMRS 13 MJ-depend (0F) 10 NU (0F) 21.3 ± 3.6 24.7 ± 4.9 DSM-IV criteria for MJ dependence 4T Varian MRSI

9 MA (6F) 8 MA + MJ (5F) 10 CON (7F)

15.7 ± 1.4 16.2 ± 1.2 16.8 ± 0.6

midfrontal GM

↓NAA/tCr MA+MJ

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Thai, TC, POC ↓IThal ml/Cr MJ 13 MJ (2F) 16 CON (9F) 17.9 ± 1.0 16.0 ± 2.2 ≥ 100 past year MJ use 3T Siemens SVMRS ACC ↓ACC GABA/H20 Glu/H20 NAA/H20 tCr/H20 ml/H20 MJ

Mashhoon et al., in press [46]

Prescot et al.,2013 [47]

a

Number of female participants not indicated

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↓ BG [Cho] ↑ MJ use ↑ FWM [Glu] ↑ duration use HIV+ MJ ↑ lifetime MJ use ↓ IBA 45 NAA/Cr none significant ↑ MJ use, ↓ onset use ↓ non-planning ↑ cognitive impulsivity (BIS) ↓ depression (BDI) ↑ tension (POMS) ↑ lifetime MJ dose ↓ onset MJ use ↓ duration of MJ use ↑ cognitive impulsivity none significant

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