You are seeing this message because your Web browser does not support basic Web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.


ABOUT ARCHIVES
Advanced Search

Welcome   | My Account | E-mail Alerts | Access Rights | Sign In


  Vol. 61 No. 1, January 2004 TABLE OF CONTENTS
  Archives
  •  Online Features
  Original Article
 This Article
 •Abstract
 •PDF
 • Reply to article
 •Send to a friend
 • Save in My Folder
 •Save to citation manager
 •Permissions
 Citing Articles
 •Citation map
 •Citing articles on HighWire
 •Citing articles on ISI (92)
 •Contact me when this article is cited
 Related Content
 •Similar articles in this journal
 Topic Collections
 •Mood Disorders
 •Public Health
 •Substance Abuse/ Alcoholism
 •Alert me on articles by topic
 Social Bookmarking
  Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit Add to Technorati
What's this?

Mood Disturbances and Regional Cerebral Metabolic Abnormalities in Recently Abstinent Methamphetamine Abusers

Edythe D. London, PhD; Sara L. Simon, PhD; Steven M. Berman, PhD; Mark A. Mandelkern, MD, PhD; Aaron M. Lichtman, MD; Jennifer Bramen, BS; Ann K. Shinn, MA; Karen Miotto, MD; Jennifer Learn, PhD; Yun Dong, MD, PhD; John A. Matochik, PhD; Varughese Kurian, MS; Thomas Newton, MD; Roger Woods, MD; Richard Rawson, PhD; Walter Ling, MD

Arch Gen Psychiatry. 2004;61:73-84.

ABSTRACT

Background  Mood disturbances in methamphetamine (MA) abusers likely influence drug use, but the neurobiological bases for these problems are poorly understood.

Objective  To assess regional brain function and its possible relationships with negative affect in newly abstinent MA abusers.

Design  Two groups were compared by measures of mood and cerebral glucose metabolism ([18F]fluorodeoxyglucose positron emission tomography) during performance of a vigilance task.

Setting  Participants were recruited from the general community to a research center.

Participants  Seventeen abstaining (4-7 days) MA abusers (6 women) were compared with 18 control subjects (8 women).

Main Outcome Measures  Self-reports of depressive symptoms and anxiety were measured, as were global and relative glucose metabolism in the orbitofrontal, cingulate, lateral prefrontal, and insular cortices and the amygdala, striatum, and cerebellum.

Results  Abusers of MA provided higher self-ratings of depression and anxiety than control subjects and differed significantly in relative regional glucose metabolism: lower in the anterior cingulate and insula and higher in the lateral orbitofrontal area, middle and posterior cingulate, amygdala, ventral striatum, and cerebellum. In MA abusers, self-reports of depressive symptoms covaried positively with relative glucose metabolism in limbic regions (eg, perigenual anterior cingulate gyrus and amygdala) and ratings of state and trait anxiety covaried negatively with relative activity in the anterior cingulate cortex and left insula. Trait anxiety also covaried negatively with relative activity in the orbitofrontal cortex and positively with amygdala activity.

Conclusions  Abusers of MA have abnormalities in brain regions implicated in mood disorders. Relationships between relative glucose metabolism in limbic and paralimbic regions and self-reports of depression and anxiety in MA abusers suggest that these regions are involved in affective dysregulation and may be an important target of intervention for MA dependence.



INTRODUCTION
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

Abstaining methamphetamine (MA) abusers have mood disturbances1 that likely reflect neurochemical abnormalities. Animal studies indicate that MA alters dopaminergic, serotonergic, and nonmonoaminergic systems,2-10 and postmortem tissue from human MA abusers exhibits deficits in striatal dopaminergic markers and in orbitofrontal cortical serotonin.11 In vivo studies of abstinent MA abusers also indicate loss of striatal markers for dopaminergic systems.12-13

Effects of MA on cerebral metabolism have also been studied. Chronic treatment reduced subcortical glucose metabolism in rats.14 In addition, compared with control subjects, abstinent human MA abusers (abstinent from 2 weeks to >2 years) had higher cerebral glucose metabolism,15 lower levels of N-acetylaspartate in the basal ganglia and frontal white matter, lower total creatinine levels in the basal ganglia, and higher levels of choline-containing compounds and myo-inositol in the frontal gray matter.16

The present study aimed to clarify the nature of brain disorder in MA abusers by identifying brain regions whose dysfunction may underlie negative affect. Stimulant abusers often enter treatment within their first week of abstinence. For example, most participants (86/112) entering a research protocol for treatment of MA dependence provided MA-positive urine samples, indicating MA use within 72 hours (R.R., unpublished data, September 2002). Because treatment for MA abuse almost exclusively involves outpatient methods,1 the first week of abstinence is a crucial determinant of engagement and retention and, thus, of treatment outcome.17 We therefore measured cerebral metabolism in MA abusers during early abstinence and in comparison subjects using the [18F]fluorodeoxyglucose (FDG) positron emission tomographic (PET) method.18-19


METHODS
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

SUBJECTS

Twenty inpatient MA abusers and 22 control subjects gave informed consent and participated in this study, approved by the institutional review boards of the University of California, Los Angeles, and the Long Beach Department of Veterans Affairs Medical Center, Long Beach, Calif. Participants in both groups were healthy according to medical history, physical examination findings, and laboratory test results. Use of psychoactive medications and seropositive status for human immunodeficiency virus were exclusionary.

As established by the Structured Clinical Interview for DSM-IV Axis I Disorders–Patient Edition (SCID-IP, version 2.0),20 current Axis I diagnoses of dependencies on substances other than MA or nicotine and lifetime Axis I diagnoses unrelated to drug abuse were exclusionary for MA abusers. The same criteria applied for control subjects, but MA dependence was not allowed and restrictions on drug dependence included lifetime diagnoses. Personality disorders, other than antisocial personality disorder, which was evaluated using the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID II): User's Guide,21 were not exclusionary. Antisocial personality disorder was detected in 3 MA abusers.

Brain imaging data from 17 MA abusers and 18 control subjects were analyzed using statistical parametric mapping (SPM). Seven subjects were excluded for various reasons: motion artifact, no magnetic resonance (MR) image, sleeping after FDG injection, and an inconsistent drug history report. Fourteen MA abusers and 13 control subjects provided measures of absolute global cerebral glucose metabolic rate (CMRglc). Nine were excluded for technical reasons: no arterial catheter, plasma glucose levels higher than 150 mg/dL (8.3 mmol/L), and improper instrument calibration.

The groups did not differ significantly in age or mother's education, but MA abusers had fewer years of education than control subjects (group difference in SPM analysis, t35= 2.90; P = .006; group difference in absolute CMRglc analysis, t25 = 1.85; P = .08) Table 1). Although the groups were similar in handedness22 and sex distribution, the control group included a larger proportion of non-Hispanic white individuals, whereas white MA abusers reported Hispanic ethnicity more frequently.


View this table:
[in this window]
[in a new window]
Table 1. Characteristics of Research Participants*


Both groups were allowed light alcohol use (equivalent to <7.5 drinks per week). For MA abusers, self-reports of spending $100 or more on MA during the month before screening and MA use within 3 days of enrollment (verified by urine sample) were required. Control subjects provided urine samples negative for illicit drugs.

Participants completed self-report questionnaires about drug use (intake questionnaire and drug use survey) and were administered the Addiction Severity Index23 Table 2). The MA abusers had used the drug, on average, for more than 8 years, consumed about 2 to 4 g/wk, and had used MA on most of the 30 days before entering the study. The MA and control groups reported similar alcohol and marijuana use and were generally matched on use of illicit drugs other than MA. Most of the MA abusers smoked cigarettes, but none of the control subjects did.


View this table:
[in this window]
[in a new window]
Table 2. Self-reported Drug Use*


DRUG USE AND AFFECTIVE STATES

Participants completed the Addiction Severity Index when entering the study. Self-ratings of depressive symptoms (Beck Depression Inventory [BDI])24 and anxiety (State-Trait Anxiety Inventory)25 were obtained on the day of PET scanning. Abusers of MA rated their MA craving (visual analog scale)26 within 48 hours of scanning.

MR SCANS

Structural MR images (3-T; GE Medical Systems, Waukesha, Wis) included T1-weighted volumetric scans (spoiled gradient-recalled acquisition, 256 x 256 matrix, echo time [TE] = 4 milliseconds, repetition time [TR] = 24 milliseconds, angle = 35°, 1.22-mm slice thickness) that were used for coregistration with PET data (see "PET Procedure" subsection). The findings from T2-weighted (spin echo) scans (256 x 256 matrix, TE = 34 milliseconds, TR = 5500 seconds, 1 number of excitations, 2-mm slice thickness) from all subjects included were read as clinically normal.

PET PROCEDURE

Methamphetamine abusers were tested when abstinent for 4 to 7 days. Catheters were inserted into the antecubital vein and contralateral radial artery for infusing FDG and blood sampling, respectively. The participant was positioned in the scanner gantry and fitted with a plastic face mask (Scrypton Systems, Annapolis, Md) to minimize head motion. A 3-minute 68Ge transmission scan verified proper positioning, and a 20-minute 68Ge transmission scan provided data for attenuation correction.

After subjects were removed from the scanner, they performed a continuous performance task (CPT) (version 2.26; Sunrise Systems, Pembroke, Mass) using a laptop computer. The task required discrimination of a target tone (higher pitch) from a sequence (interstimulus interval = 2 seconds) of nontarget tones (lower pitch). Pressing the X signified hearing a target tone. With the CPT underway, FDG (<=5 mCi [<=185 MBq]) was administered intravenously. The CPT was stopped 30 minutes later, and the subject was repositioned in the scanner.

Arterial blood samples were taken at 10-minute intervals for 90 minutes after the FDG injection, and plasma from these samples was assayed for radioactivity (Cobra II Auto-Gamma; Packard Instruments, Downers Grove, Ill) and glucose. The plasma activity curve was fit according to an analytic procedure to determine the integral of plasma-specific activity27 for use in an operational equation.28

Brain images were acquired in 3-dimensional mode (Siemens ECAT EXACT HR+ tomograph; CTI, Knoxville, Tenn) for 30 minutes, starting 50 minutes after the FDG injection. We reconstructed 128 x 128-pixel images using a Hann filter (cut-off frequency = 0.5 cycles per pixel). The average transverse resolutions at 1 and 10 cm from the center of the field of view (measured using an 18F line source) were 6.52 and 7.16 mm (full width at half maximum), and the average axial resolutions were 3.72 and 5.64 mm at 0 cm and 10 cm from the center of the field of view, respectively.

The CMRglc was calculated from the modeled images using MEDx software (Sensor Systems, Sterling, Va). An edge-detection algorithm defined the brain contour in each transaxial plane. A 3-dimensional contour was then derived from the sum of the 2-dimensional slices, and mean CMRglc was calculated. Voxels exhibiting metabolic rates less than or equal to 4 mg of glucose per 100 g per minute were excluded to minimize contribution from cerebrospinal fluid.

STATISTICAL ANALYSIS

We conducted group comparisons of demographic variables and CMRglc using the t test. When a continuous measurement variable did not meet the assumption of homogeneity of variance, it was assessed using a separate variance t test (Statistical Package for the Social Sciences; SPSS Inc, Chicago, Ill). Pearson product moment correlation analyses tested relationships between CMRglc and MA use (duration, number of days in the last month, grams per week in the last month). We used d' (discriminability statistic) to assess CPT performance and evaluated group differences in d' using a t test. For these analyses, the statistical threshold was P<.05, uncorrected for multiple comparisons.

Group comparisons of self-reports of depressive symptoms and anxiety were performed by multivariate analysis of variance (SPSS). Post hoc t tests determined the contribution of each variable to the significant results of an omnibus test.

Group comparisons of brain activity, indicating relative regional cerebral glucose metabolism, were performed by SPM (SPM99; Wellcome Department of Cognitive Neurology, London, England).29-30 The PET images (decay-corrected counts) were coregistered to the corresponding structural MR images using automated image registration,31 and the MR images were used to normalize the PET data spatially by transformations that warped them into a standard coordinate system (MNI space; Montreal Neurological Institute, Toronto, Ontario).29 Normalized images were smoothed with an 8-mm (full width at half maximum) isotropic Gaussian kernel, and effects of global activity were removed by proportional scaling.

In SPM, a parametric statistical model, assumed at each voxel, describes variability in the data in terms of experimental and confounding effects and residual variability. The model provides that for each group of subjects, the activity in each voxel is normally distributed with homogeneous variance about a group mean. The hypothesis that the group means for each voxel were homogeneous was assessed with a t test, giving an image SPM(t) whose voxel values were t statistics. The multiple comparisons problem of simultaneously assessing all the voxel statistics is addressed by modeling the image as a sample of a continuous Gaussian random field. For each voxel, the corrected P value is the probability of finding at least 1 voxel in the search volume with a greater or equal t value. For each cluster of contiguous voxels where t exceeds a preset threshold, the corrected P value is the probability of finding at least 1 cluster that is at least that large.

For whole-brain SPM analysis, the multiple comparisons correction is based on all gray matter voxels in the brain and the possibility of deviation from the null hypothesis. To test the effect of group, we set an initial voxel height threshold of P = .05 (uncorrected) for inclusion in clusters. We considered individual clusters to indicate a significant difference only when P<.05 (corrected) also for spatial extent.

Statistical parametric mapping allows for multiple comparisons correction on the basis of a restricted set of hypotheses, namely, consideration of limited contiguous regions within the cerebral gray matter. Such an analysis is appropriate when prior work identifies particular brain regions as relevant.

We tested certain regions of interest (ROIs) because of their implication in negative affective states: orbitofrontal cortex (OFC) (medial [gyrus rectus and medial orbital gyrus; Brodmann area (BA) 11] and lateral [lateral and posterior orbital gyri, orbital portion of the inferior frontal gyrus; BA 47 and 11]), cingulate gyrus (infragenual [BA 25 and 32], perigenual [BA 24, 32, and 33], and posterior [BA 31, 23, and 30]), lateral prefrontal cortex (middle frontal [BA 8, 9, and 46] and inferior frontal gyri [BA 44, 45, 46, and 47]), insula (BA 13), and amygdala. Other than the posterior cingulate gyrus, activities of these regions have been linked to depressive disorders, depressed mood, or sadness.32-36 Activity of the posterior cingulate gyrus was increased during presentation of aversive and anxiogenic stimuli37-38 and was related to the anxiety component of depressive symptoms.39 In addition, activities of the OFC and insula have been related to anxiety,40 and pharmacologically induced anxiety was associated with activation of the amygdala, insula, and anterior cingulate cortex (ACC).41 Lastly, the ventral and dorsal striatum and cerebellar vermis were tested because their activities were increased or associated with drug craving.26, 42-46 The ROIs were drawn on the structural MR template provided in SPM99, using MEDx. Bilateral sampling, except for the cerebellar vermis, provided data on 23 ROIs and 46 comparisons (positive and negative contrasts). Statistical significance within each ROI was determined according to the SPM model described earlier, using a voxel height threshold of P = .05 (uncorrected) for inclusion in clusters. An ROI was considered to show a significant group difference if it contained a cluster with P<.05 for spatial extent (corrected). In each ROI that showed a significant group difference using these criteria, the probability associated with the peak voxel height (corrected for ROI search volume) was also noted. Further, we identified ROIs whose group differences maintained statistical significance (P<=.001) after applying the Bonferroni correction for number of comparisons (46) and the correction for search volume.

Relationships between relative regional CMRglc (rCMRglc) and depressive symptoms (BDI) and anxiety (State-Trait Anxiety Inventory) were tested using covariate analysis. Statistical significance of the effect of each covariate was assessed within the 18 ROIs preselected because of their implication in negative affective states (9 bilateral regions). Separate SPM analyses were performed for each covariate, yielding SPM(t)s. The multiple comparisons correction within each ROI and the Bonferroni correction for number of ROIs were applied. An ROI was considered to show a significant covariate effect if it contained a cluster with P<.05 for spatial extent (corrected). In each ROI that showed significant covariance using these criteria, the probability associated with the peak voxel height (corrected for search volume) was also noted. Further, we identified those ROIs whose covariance maintained statistical significance (P<.001) after applying the Bonferroni correction for number of comparisons (ie, 18 ROIs x 2 = 36, testing positive and negative covariance) and the correction for search volume.


RESULTS
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

AFFECTIVE STATES

An omnibus multivariate analysis of variance of measures of depression and anxiety demonstrated a significant group difference (F3,25 = 7.60; Wilks {Lambda} = 0.52; P<.001) Table 3). The groups differed on each measure. Although only 1 MA abuser reported being depressed within the month before testing on the Addiction Severity Index (data not shown), MA abusers had higher BDI scores than control subjects (t18 = -3.88; P = .001; n = 35, degrees of freedom adjusted for separate variance test). As the BDI data did not meet the assumption of homogeneity of variance, separate variance t tests assessed this variable. Some MA abusers (4/17) but no control subjects reported anxiety symptoms on the Addiction Severity Index. The MA abusers also had higher scores of both state (t27= -2.91; P = .007) and trait (t27= -3.82; P = .001) anxiety on the State-Trait Anxiety Inventory. In tests of correlation between these scores and MA use (duration of use, number of days used in the past month, grams per week in the past month), the only significant finding was a positive correlation between BDI score and recent use (grams per week) (r14 = 0.70; P = .006).


View this table:
[in this window]
[in a new window]
Table 3. Self-reports of Mood and Feeling State*


The MA abusers reported drug craving (mean ± SEM visual analog scale scores, 4.06 ± 0.94). Craving was correlated with frequency of MA use (number of days in the last 30) (r17 = 0.597; P = .01).

CPT PERFORMANCE

We used CPT data from 15 control subjects and 16 MA abusers. Data from 5 subjects were excluded because of equipment failure (n = 1), lack of response for 20 to 40 seconds (n = 2), and responses to all stimuli (including nontargets) during the first few minutes (not understanding the instructions) (n = 2). Performance during the 15 minutes after FDG injection (when most of the brain uptake of FDG occurs) indicated no group differences in reaction time (means for the control and MA groups, 0.6257 and 0.6252 seconds, respectively) or percentage of correct responses (98.42 in the control group and 95.85 in the MA group). There was no group difference in d' (t33 = 1.08; P = .29; mean (SE) control d' = 5.11 [0.21]; mean (SE) MA d' = 4.80 [0.26]).

CEREBRAL GLUCOSE METABOLISM

Global glucose metabolism during performance of the CPT did not differ between the groups (mean ± SEM, 10.1 ± 0.52 and 10.2 ± 0.36 mg/100 g per minute in the control and MA groups, respectively [13 control subjects and 14 MA abusers]). Drug use measures were not significantly correlated with CMRglc in the MA abusers.

Whole-brain analysis revealed 1 cluster, extending from the middle to the posterior portions of the dorsal cingulate gyrus (4604 voxels; P<.001), with higher activity in MA abusers than control subjects. The peak voxel (6, -16, 46; MNI coordinates as defined in the legend for Table 4), which was in BA 24 or 31, also had significantly more activity in MA abusers by the criterion of peak height after correction for whole-brain search volume (t = 5.75; P = .02). There were no clusters of significantly higher activity in control subjects than MA abusers.


View this table:
[in this window]
[in a new window]
Table 4. Relative Regional Cerebral Glucose Metabolic Rates in Control and Methamphetamine Abuser Groups*


All regions tested, except for those in the lateral OFC and lateral prefrontal cortex, exhibited clusters with group differences in relative rCMRglc (in 1 or both hemispheres) Table 4 and Figure 1). Control subjects had greater activity than MA abusers bilaterally in the infragenual ACC, the left perigenual ACC, and the right insula. The MA abusers had higher activity bilaterally in the lateral OFC, right middle and posterior cingulate, amygdala, ventral striatum, and cerebellar vermis. After correction for the number of regions compared, MA abusers still had significantly lower relative rCMRglc than control subjects bilaterally in the infragenual ACC and higher activity in the bilateral ventral striatum.



View larger version (65K):
[in this window]
[in a new window]
Figure 1. Locations of methamphetamine (MA) and control group differences in relative regional cerebral glucose metabolic rate (rCMRglc). Statistical parametric maps were generated using SPM99 (Wellcome Department of Cognitive Neurology, London, England) for the contrast of relative rCMRglc in the control group (n = 18) greater than in the MA abuser group (n = 17) and also for the contrast of relative rCMRglc in the MA abuser group greater than in the control group. Colors superimposed on the gray-scale structural magnetic resonance template indicate areas where the height threshold for the contrast (whole brain) was t>=1.69 (P= .049). Locations where clusters exhibited P<.05 for spatial extent (corrected for search volume of the relevant region of interest but not the number of regions) are noted (Table 4). Coordinates are in MNI space (Montreal Neurological Institute, Toronto, Ontario). igACC indicates infragenual anterior cingulate cortex; pgACC, perigenual anterior cingulate cortex.


Unlike absolute CMRglc, some relative rCMRglc measures showed relationships to recent MA use (which was related to measures of mood [see the "Affective States" subsection]). Activity in the left insula covaried negatively with MA use (grams per week) (cluster of 673 voxels; corrected P<.001), as did activity in the left infragenual ACC (cluster of 70 voxels; corrected P = .02). Activity in the cerebellar vermis (cluster of 267 voxels; corrected P = .003) covaried positively with this measure. In addition, activity in the right insula (cluster of 158 voxels; corrected P = .03) showed negative covariance with frequency of MA use (number of days in the past 30). Only the association of activity in the left insula with amount of intake retained statistical significance after correction for the number of brain regions tested.

The BDI score in the MA abusers covaried directly with relative rCMRglc in the bilateral infragenual and perigenual ACC and amygdala Table 5 and Figure 2). This relationship retained significance in the bilateral perigenual ACC and right amygdala after Bonferroni correction. Because the amount of MA consumption (grams per week) was correlated with BDI score, we reassessed the association of BDI score with relative rCMRglc after removing the effects of MA consumption by declaring it a nuisance variable. The BDI score activity retained a strong association with activity in the bilateral perigenual ACC as well as in the right amygdala (P<.001 for all). While BDI score for the control subjects also covaried with relative rCMRglc in 3 ROIs, none of these results retained significance after Bonferroni correction.


View this table:
[in this window]
[in a new window]
Table 5. Covariance of Depressive Symptoms With Relative Regional Glucose Metabolic Rates*




View larger version (77K):
[in this window]
[in a new window]
Figure 2. Locations of positive covariation between relative regional cerebral glucose metabolic rate (rCMRglc) and Beck Depression Inventory (BDI) score in the methamphetamine (MA) abuser group (n = 18) (top row) and locations of positive covariation between relative rCMRglc and BDI score in the control group (n = 17)(bottom row). Colors superimposed on the gray-scale structural magnetic resonance template indicate areas where the height threshold for the contrast (whole brain) was t>=1.69 (P= .049). Locations where clusters exhibited P<.05 for spatial extent (corrected for search volume of the relevant region of interest but not the number of regions) are noted (Table 5). There were no significant clusters with BDI score as a negative covariate of relative rCMRglc. Coordinates are in MNI space (Montreal Neurological Institute, Toronto, Ontario). igACC indicates infragenual anterior cingulate cortex; pgACC, perigenual anterior cingulate cortex.


The relationship of anxiety to relative rCMRglc was assessed separately for state and trait anxiety measures Table 6). There were no significant covariates of anxiety in control subjects. In MA abusers, state anxiety covaried negatively with rCMRglc in the left infragenual ACC and bilateral insula (Figure 3). The result in the left insula retained significance after Bonferroni correction. The pattern was more widespread for trait anxiety, which covaried negatively with activity in the OFC, infragenual and perigenual ACC, left posterior cingulate gyrus, and left insula. Negative covariance of trait anxiety with activity in the infragenual anterior cingulate gyrus (bilateral), medial (bilateral) and left lateral OFC, and left insula retained statistical significance after Bonferroni correction. Although there was evidence for the opposite pattern (high anxiety accompanied by high metabolism) in the bilateral amygdala and right insula, none of these results retained significance after Bonferroni correction.


View this table:
[in this window]
[in a new window]
Table 6. Correlations of Anxiety Measures With Relative Regional Cerebral Glucose Metabolic Rates in Methamphetamine Abusers*




View larger version (62K):
[in this window]
[in a new window]
Figure 3. Locations of covariation between relative regional cerebral glucose metabolic rate (rCMRglc) and trait anxiety (State-Trait Anxiety Inventory score) in the methamphetamine abuser group (n = 13). Colors superimposed on the gray-scale structural magnetic resonance template indicate areas where the height threshold for the contrast (whole brain) was t>=1.69 (P= .049). Locations where clusters exhibited P<.05 for spatial extent (corrected for search volume of the relevant region of interest but not the number of regions tested) are noted (Table 6). Coordinates are in MNI space (Montreal Neurological Institute, Toronto, Ontario). igACC indicates infragenual anterior cingulate cortex; pgACC, perigenual anterior cingulate cortex.



COMMENT
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

This study identified regional brain dysfunction that may underlie affective deficits in MA abusers during early abstinence. Abnormalities were observed in limbic and paralimbic regions that have been implicated in emotional processing by many investigations. These include neuroimaging studies in which mood induction accompanied activation of the amygdala, insula, and ACC.40, 47-51 The most robust group differences in relative rCMRglc were in the infragenual ACC, where MA abusers showed relative hypoactivity compared with control subjects, and the ventral striatum, where MA abusers showed relative hyperactivity.

The BDI scores in MA abusers covaried positively with relative activity in regions that have been linked with negative affect. In line with previous evidence for dysfunction of the subgenual and perigenual portions of the ACC in clinical depression,33-34,52 relative rCMRglc in the right perigenual ACC was robustly associated with BDI score in MA abusers. This association is also consistent with a report that this region was affected (activated) when autobiographical scripts induced sadness in healthy subjects.40 Nonetheless, the positive associations appear to be paradoxical because higher ratings of depressive symptoms accompanied a lower relative rCMRglc in the infragenual and, less robustly, the perigenual ACC compared with control subjects. Thus, while the ACC appears dysfunctional in MA abusers, the relationship between depressive symptoms and ACC function may differ between MA users and healthy subjects.

After correction for multiple comparisons, the perigenual (not infragenual) ACC retained a significant positive correlation between BDI score and relative activity bilaterally, whereas the infragenual (not perigenual) ACC showed lower relative rCMRglc bilaterally in MA abusers than in control subjects. These subregions of the ACC are functionally distinct. While the infragenual region is part of BA 25 and functionally linked to the limbic system, the superior perigenual region has been linked to diverse functions including attention,53 conflict resolution,54 and analgesia.55-56

Another strong finding was the direct covariance of BDI score with relative rCMRglc in the amygdala in MA abusers. Along with the higher relative activity of the amygdala in MA abusers (vs control subjects), this effect suggested that amygdalar dysfunction contributes to depressed mood in abstinent MA abusers. Prior studies have shown elevated amygdalar blood flow or rCMRglc in depressed subjects with familial major depressive disorder or bipolar I and II disorders and have demonstrated elevated amygdalar metabolism rates during major depressive episodes (see Drevets34). One report noted that resting blood flow and relative rCMRglc were higher in the amygdala in subjects with depression than in control subjects and that relative activity in the left amygdala was correlated with the severity of depressive symptoms.57 Similar associations in MA abusers but not in patients with panic disorder, obsessive-compulsive disorder, phobic disorders, or schizophrenia36 suggest a unique similarity between MA abusers and individuals with primary mood disorders.

Although the mechanism by which depressive symptoms may be linked to the activity of the amygdala in MA abusers or patients with primary mood disorders is not known, Drevets36 discussed how this relationship might reflect a role of the amygdala being to organize emotional and stress responses. He noted that electrical stimulation of the amygdala in humans produces dysphoria (see Brothers58) and that excessive amygdalar transmission to the periaqueductal gray matter may produce depressive signs.

Although several regions had relative rCMRglc that covaried with anxiety measures (state or trait), only the left insula exhibited a significant association with both state and trait anxiety after Bonferroni correction. This inverse relationship is consistent with the negative correlation between anxiety scores of patients with depression with relative rCMRglc in the left but not the right insula.51 Covariance of trait anxiety with relative activity of left infragenual ACC, left OFC, and medial OFC (bilaterally) also retained significance after correction. Our observations that the MA abusers had lower relative rCMRglc in the insula and infragenual ACC and higher anxiety self-ratings were also internally consistent. The negative association of trait anxiety with relative activity in the lateral OFC, where MA abusers had higher activity than control subjects, is less clear.

A report59 on the relationships between cortical glucose metabolism rates, blood flow, and anxiety in control subjects is relevant to the present findings in the insula. That report indicated a linear inverse correlation between global anxiety score and cortical rCMRglc but an inverted U relationship between anxiety and cortical blood flow, measured by the less stressful xenon Xe 133 inhalation technique. Cortical blood flow increased with anxiety in subjects with low anxiety but decreased with anxiety in subjects with high anxiety. In light of these findings and a report of insular activation in healthy subjects by scripts that induce anxiety,40 the negative associations between insular metabolism and anxiety measures in MA abusers may reflect a similar curvilinear relationship. Because MA abusers exhibited higher scores on the State-Trait Anxiety Inventory than the control group, it is feasible that their relationship between insular activity and anxiety are at the upper end (negative slope) of such a curvilinear function.

Sufficient data were not collected on the day of PET scanning to test relationships between relative rCMRglc and MA craving. In keeping with findings of individuals who abused drugs other than MA, MA abusers had a higher relative rCMRglc than control subjects in some regions (lateral OFC, posterior cingulate gyrus, amygdala, ventral striatum, and cerebellar vermis) whose activities were previously positively related to drug cravings.26, 42, 46, 60-64 They did not, however, show a higher relative rCMRglc of other regions (lateral prefrontal cortex, ACC, and insula), which also were positively associated with drug craving in previous studies.26, 45-46,60-67

Some abnormalities in rCMRglc of MA abusers may be due to effects on dopaminergic systems. Of the regions selected for planned comparisons, the OFC, ACC, insula, amygdala, and dorsal and ventral striatum have dopaminergic innervation.68-70 Each of these regions contained a cluster with a group difference in relative rCMRglc. The direction of the difference varied across the regions. To the extent that group differences may result from insult to dopaminergic systems, this variation may reflect differential effects of such deficits.

Notably, the infragenual ACC, which showed the most robust deficit of relative rCMRglc compared with the control group, receives a dense dopaminergic innervation.71 A dopaminergic deficit in this region therefore may produce the local metabolic defect. Alternatively, defective rCMRglc in the OFC may reflect striatal dopaminergic deficiency as demonstrated by correlation between striatal dopamine D2 receptor availability with orbitofrontal rCMRglc.72 Orbitofrontal rCMRglc abnormalities in MA abusers may also reflect a serotonergic deficit because low levels of serotonin were measured in postmortem samples of OFC from MA abusers.11

Absolute CMRglc in MA abusers in early abstinence did not differ from CMRglc in control subjects. Because MA abusers who were abstinent for 2 weeks to 35 months previously exhibited higher CMRglc than in control subjects,15 rCMRglc may change with sustained abstinence, unmasking a hypermetabolic condition. Longitudinal studies that include early abstinence may resolve this question.

This study has limitations, including the fact that although all of the regions tested have been shown to influence mood, they contribute to other behavioral states not addressed in the current study. Another limitation is that while the groups were similar in most categories, most of the MA abusers but none of the control subjects were tobacco smokers. Smoking status was not considered in prior studies of MA abusers, and differences in cerebral metabolism associated with nicotine dependence have not been described but warrant further study. One potentially confounding variable was craving associated with abstinence in nicotine-dependent smokers. Although craving for cigarettes can begin within minutes of smoking, and smokers were required to abstain from smoking for at most 2 hours before the PET measurement, the pattern of abnormalities observed in the MA abusers' relative rCMRglc compared with control subjects did not resemble relative rCMRglc findings in smokers during cigarette craving.65

Another issue was the subjects' state during relative rCMRglc measurement. The participants performed an auditory CPT, and this simple task may affect relative rCMRglc differently in MA abusers than in control subjects because subjects in the 2 groups may have had different levels of regional activation. The group differences, accordingly, may be state dependent. Finally, our study could not discriminate between effects of early abstinence, effects of chronic MA abuse that are unchanged by abstinence, and factors that predated MA abuse on relative rCMRglc and mood.

With these caveats, we conclude that MA abusers in early abstinence have dysfunction in the limbic and paralimbic regions that have been linked with negative affective states. Depressive symptoms showed positive covariance with perigenual ACC and amygdalar activity in MA abusers. In contrast, anxiety was negatively associated with activities in all of the regions, except for the dorsal striatum, where MA abusers exhibited CMRglc deficits compared with control subjects. The findings identified brain substrates of affective dysregulation as potential targets for therapeutic intervention during early abstinence and withdrawal in MA abusers.


AUTHOR INFORMATION
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

Corresponding author and reprints: Edythe D. London, PhD, Neuropsychiatric Institute, University of California Los Angeles, 760 Westwood Plaza, PO Box 175919, Los Angeles, CA 90024-1759 (e-mail: elondon{at}mednet .ucla.edu).

Submitted for publication December 30, 2002; final revision received June 13, 2003; accepted June 24, 2003.

This study was supported by contract 1 Y01 DA 50038 (Drs London and Ling), grants MOI RR 00865 and T32 DA 07272 (Dr Rawson), and the Intramural Research Program of the National Institute on Drug Abuse, Bethesda, Md (Dr Matochik and Mr Kurian).

This article was presented in part at the annual meeting of the Society for Neuroscience; November 7, 2000; New Orleans, La; the annual meeting of the Society for Neuroscience; November 12, 2001; San Diego, Calif; the annual meeting of the American College of Neuropsychopharmacology; December 13, 2000; San Juan, Puerto Rico; the annual meeting of the American College of Neuropsychopharmacology; December 13, 2001; Waikoloa, Hawaii; and the annual meeting of the College on Problems of Drug Dependence; June 18, 2001; Scottsdale, Ariz.

We thank Joshua Mogy, BA; Laurence Rosenthal, BA; Arby Hayrapetian, BA; Eileen Callahan, BA; and Jennifer M. Dacey, BA, for excellent contributions to data collection and organization, and Bradley Voytek, BA, for data analysis.

From the Departments of Psychiatry and Biobehavioral Sciences (Drs London, Simon, Berman, Lichtman, Miotto, Learn, Dong, Newton, Rawson, and Ling and Mss Bramen and Shinn), Molecular and Medical Pharmacology (Dr London), and Neurology (Dr Woods), and the Brain Research Institute (Drs London and Berman), the David Geffen School of Medicine at UCLA, University of California, Los Angeles; the Department of Physics, University of California, Irvine (Dr Mandelkern); and the Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Md (Dr Matochik and Mr Kurian).


REFERENCES
 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

1. US Department of Health and Human Services, Public Health Service, Substance Abuse and Mental Health Services Administration. Treatment for Stimulant Use Disorders. Rockville, Md: US Dept of Health and Human Services; 1999. Treatment Improvement Protocol (TIP) Series 33. DHHS publication (SMA) 99-3296.
2. Kogan FJ, Nichols WK, Gibb JW. Influence of methamphetamine on nigral and striatal tyrosine hydroxylase activity and on striatal dopamine levels. Eur J Pharmacol. 1976;36:363-371. FULL TEXT | ISI | PUBMED
3. Hotchkiss AJ, Gibb JW. Long-term effects of multiple doses of methamphetamine on tryptophan hydroxylase and tyrosine hydroxylase activity in rat brain. J Pharmacol Exp Ther. 1980;214:257-262. FREE FULL TEXT
4. Ricaurte GA, Schuster CR, Seiden LS. Long-term effects of repeated methylamphetamine administration on dopamine and serotonin neurons in the rat brain: a regional study. Brain Res. 1980;193:153-163. FULL TEXT | ISI | PUBMED
5. Preston KL, Wagner GC, Schuster CR, Seiden LS. Long-term effects of repeated methylamphetamine administration on monoamine neurons in the rhesus monkey brain. Brain Res. 1985;338:243-248. FULL TEXT | ISI | PUBMED
6. Commins DL, Seiden LS. {alpha}-Methyltyrosine blocks methylamphetamine-induced degeneration in the rat somatosensory cortex. Brain Res. 1986;365:15-20. FULL TEXT | ISI | PUBMED
7. Seiden LS, Kleven MS. Methamphetamine and related drugs: toxicity and resulting behavioral changes in response to pharmacological probes. NIDA Res Monogr. 1989;94:146-160. PUBMED
8. Woolverton WL, Ricaurte GA, Forno LS, Seiden LS. Long-term effects of chronic methamphetamine administration in rhesus monkeys. Brain Res. 1989;486:73-78. FULL TEXT | ISI | PUBMED
9. Kokoshka JM, Vaughan RA, Hanson GR, Fleckenstein AE. Nature of methamphetamine-induced rapid and reversible changes in dopamine transporters. Eur J Pharmacol. 1998;361:269-275. FULL TEXT | ISI | PUBMED
10. Villemagne V, Yuan J, Wong DF, Dannals RF, Hatzidimitriou G, Mathews WB, Ravert HT, Musachio J, McCann UD, Ricaurte GA. Brain dopamine neurotoxicity in baboons treated with doses of methamphetamine comparable to those recreationally abused by humans: evidence from [11C]WIN-35,428 positron emission tomography studies and direct in vitro demonstrations. J Neurosci. 1998;18:419-427. FREE FULL TEXT
11. Wilson JM, Kalasinsky KS, Levey AI, Bergeron C, Reiber G, Anthony RM, Schmunk GA, Shannak K, Haycock JW, Kish SJ. Striatal dopamine nerve terminal markers in human, chronic methamphetamine users. Nat Med. 1996;2:699-703. FULL TEXT | ISI | PUBMED
12. McCann UD, Wong DF, Yokoi F, Villemagne V, Dannals RF, Ricaurte GA. Reduced striatal dopamine transporter density in abstinent methamphetamine and methcathinone users: evidence from positron emission tomography studies with [11C]WIN-35,428. J Neurosci. 1998;18:8417-8422. FREE FULL TEXT
13. Volkow ND, Chang L, Wang GJ, Fowler JS, Leonido-Yee M, Franceschi D, Sedler MJ, Gatley SJ, Hitzemann R, Ding YS, Logan J, Wong C, Miller EN. Association of dopamine transporter reduction with psychomotor impairment in methamphetamine abusers. Am J Psychiatry. 2001;158:377-382. FREE FULL TEXT
14. Huang YH, Tsai SJ, Su TW, Sim CB. Effects of repeated high-dose methamphetamine on local cerebral glucose utilization in rats. Neuropsychopharmacology. 1999;21:427-434. FULL TEXT | ISI | PUBMED
15. Volkow ND, Chang L, Wang GJ, Fowler JS, Franceschi D, Sedler MJ, Gatley SJ, Hitzemann R, Ding YS, Wong C, Logan J. Higher cortical and lower subcortical metabolism in detoxified methamphetamine abusers. Am J Psychiatry. 2001;158:383-389. FREE FULL TEXT
16. Ernst T, Chang L, Leonido-Yee M, Speck O. Evidence for long-term neurotoxicity associated with methamphetamine abuse: a 1H MRS study. Neurology. 2000;54:1344-1349. FREE FULL TEXT
17. Brecht ML, von Mayrhauser C, Anglin MD. Predictors of relapse after treatment for methamphetamine use. J Psychoactive Drugs. 2000;32:211-220. ISI | PUBMED
18. Reivich M, Kuhl D, Wolf A, Greenberg J, Phelps M, Ido T, Casella V, Fowler J, Hoffman E, Alavi A, Som P, Sokoloff L. The [18F]fluorodeoxyglucose method for the measurement of local cerebral glucose utilization in man. Circ Res. 1979;44:127-137. FREE FULL TEXT
19. Phelps ME, Huang SC, Hoffman EJ, Selin C, Sokoloff L, Kuhl DE. Tomographic measurement of local cerebral glucose metabolic rate in humans with (F-18)2-fluoro-2-deoxy-D-glucose: validation of method. Ann Neurol. 1979;6:371-388. FULL TEXT | ISI | PUBMED
20. First MB, Spitzer RL, Gibbon M, Williams J. Structured Clinical Interview for DSM-IV Axis I Disorders–Patient Edition (SCID-IP, Version 2.0). New York: Biometrics Research Dept, New York State Psychiatric Institute; 1996.
21. First MB, Gibbon M, Spitzer RL, Williams JBW, Benjamin LS. Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II): User's Guide. Washington, DC: American Psychiatric Press; 1997.
22. Denckla MB. Revised neurological examination for subtle signs (1985). Psychopharmacol Bull. 1985;21:773-800. ISI | PUBMED
23. McLellan AT, Kushner H, Metzger D, Peters R, Smith I, Grissom G, Pettinati H, Argeriou M. The fifth edition of the Addiction Severity Index. J Subst Abuse Treat. 1992;9:199-213. FULL TEXT | ISI | PUBMED
24. Beck AT, Steer RA. Manual for the Revised Beck Depression Inventory. San Antonio, Tex: Psychological Corp; 1987.
25. Spielberger CD. Manual for the State-Trait Anxiety Inventory (Form Y). Palo Alto, Calif: Consulting Psychologists Press; 1983.
26. Grant S, London ED, Newlin DB, Villemagne VL, Liu X, Contoreggi C, Phillips RL, Kimes AS, Margolin A. Activation of memory circuits during cue-elicited cocaine craving. Proc Natl Acad Sci U S A. 1996;93:12040-12045. FREE FULL TEXT
27. Phillips RL, Chen CY, Wong DF, London ED. An improved method to calculate metabolic rates for glucose using PET. J Nucl Med. 1995;36:1668-1679. FREE FULL TEXT
28. Huang SC, Phelps ME, Hoffman EJ, Sideris K, Selin CJ, Kuhl DE. Noninvasive determination of local cerebral metabolic rate of glucose in man. Am J Physiol. 1980;238:E69-E82.
29. Friston KJ, Ashburner J, Poline JB, Frith CD, Heather JD, Frackowiak RSJ. Spatial registration and normalization of images. Hum Brain Mapp. 1995;2:165-189.
30. Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, Frackowiak RSJ. Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp. 1995;2:189-210. FULL TEXT
31. Woods RP, Cherry SR, Mazziotta JC. Rapid automated algorithm for aligning and reslicing PET images. J Comput Assist Tomogr. 1992;16:620-633. ISI | PUBMED
32. Post RM, DeLisi LE, Holcomb HH, Uhde TW, Cohen R, Buchsbaum MS. Glucose utilization in the temporal cortex of affectively ill patients: positron emission tomography. Biol Psychiatry. 1987;22:545-553. FULL TEXT | ISI | PUBMED
33. Mayberg H. Depression, II: localization of pathophysiology. Am J Psychiatry. 2002;159:1979. FREE FULL TEXT
34. Drevets WC. Neuroimaging studies of mood disorders. Biol Psychiatry. 2000;48:813-829. FULL TEXT | ISI | PUBMED
35. Zald DH, Mattson DL, Pardo JV. Brain activity in ventromedial prefrontal cortex correlates with individual differences in negative affect. Proc Natl Acad Sci U S A. 2002;99:2450-2454. FREE FULL TEXT
36. Drevets WC. Functional anatomical abnormalities in limbic and prefrontal cortical structures in major depression. Prog Brain Res. 2000;126:413-431. ISI | PUBMED
37. Maddock RJ. The retrosplenial cortex and emotion: new insights from functional neuroimaging of the human brain. Trends Neurosci. 1999;22:310-316. FULL TEXT | ISI | PUBMED
38. Fredrikson M, Fischer H, Wik G. Cerebral blood flow during anxiety provocation. J Clin Psychiatry. 1997;58(suppl 16):16-21. ISI | PUBMED
39. Bench CJ, Friston KJ, Brown RG, Frackowiak RS, Dolan RJ. Regional cerebral blood flow in depression measured by positron emission tomography: the relationship with clinical dimensions. Psychol Med. 1993;23:579-590. ISI | PUBMED
40. Liotti M, Mayberg HS, Brannan SK, McGinnis S, Jerabek P, Fox PT. Differential limbic-cortical correlates of sadness and anxiety in healthy subjects: implications for affective disorders. Biol Psychiatry. 2000;48:30-42. FULL TEXT | ISI | PUBMED
41. Benkelfat C, Bradwejn J, Meyer E, Ellenbogen M, Milot S, Gjedde A, Evans A. Functional neuroanatomy of CCK4-induced anxiety in normal healthy volunteers. Am J Psychiatry. 1995;152:1180-1184. FREE FULL TEXT
42. Breiter HC, Gollub RL, Weisskoff RM, Kennedy DN, Makris N, Berke JD, Goodman JM, Kantor HL, Gastfriend DR, Riorden JP, Mathew RT, Rosen BR, Hyman SE. Acute effects of cocaine on human brain activity and emotion. Neuron. 1997;19:591-611. FULL TEXT | ISI | PUBMED
43. Volkow ND, Wang GJ, Fowler JS, Hitzemann R, Angrist B, Gatley SJ, Logan J, Ding YS, Pappas N. Association of methylphenidate-induced craving with changes in right striato-orbitofrontal metabolism in cocaine abusers: implications in addiction. Am J Psychiatry. 1999;156:19-26. FREE FULL TEXT
44. George MS, Anton RF, Bloomer C, Teneback C, Drobes DJ, Lorberbaum JP, Nahas Z, Vincent DJ. Activation of prefrontal cortex and anterior thalamus in alcoholic subjects on exposure to alcohol-specific cues. Arch Gen Psychiatry. 2001;58:345-352. FREE FULL TEXT
45. Kilts CD, Schweitzer JB, Quinn CK, Gross RE, Faber TL, Muhammad F, Ely TD, Hoffman JM, Drexler KP. Neural activity related to drug craving in cocaine addiction. Arch Gen Psychiatry. 2001;58:334-341. FREE FULL TEXT
46. Bonson KR, Grant SJ, Contoreggi CS, Links JM, Metcalfe J, Weyl HL, Kurian V, Ernst M, London ED. Neural systems and cue-induced cocaine craving. Neuropsychopharmacology. 2002;26:376-386. FULL TEXT | ISI | PUBMED
47. LeDoux JE. The Emotional Brain: The Mysterious Underpinnings of Emotional Life. New York, NY: Simon & Schuster; 1996.
48. Breiter HC, Etcoff NL, Whalen PJ, Kennedy WA, Rauch SL, Buckner RL, Strauss MM, Hyman SE, Rosen BR. Response and habituation of the human amygdala during visual processing of facial expression. Neuron. 1996;17:875-887. FULL TEXT | ISI | PUBMED
49. Phillips ML, Medford N, Young AW, Williams L, Williams SC, Bullmore ET, Gray JA, Brammer MJ. Time courses of left and right amygdalar responses to fearful facial expressions. Hum Brain Mapp. 2001;12:193-202. FULL TEXT | ISI | PUBMED
50. Ketter TA, Kimbrell TA, George MS, Dunn RT, Speer AM, Benson BE, Willis MW, Danielson A, Frye MA, Herscovitch P, Post RM. Effects of mood and subtype on cerebral glucose metabolism in treatment-resistant bipolar disorder. Biol Psychiatry. 2001;49:97-109. FULL TEXT | ISI | PUBMED
51. Osuch EA, Ketter TA, Kimbrell TA, George MS, Benson BE, Willis MW, Herscovitch P, Post RM. Regional cerebral metabolism associated with anxiety symptoms in affective disorder patients. Biol Psychiatry. 2000;48:1020-1023. FULL TEXT | ISI | PUBMED
52. Drevets WC, Price JL, Simpson JR Jr, Todd RD, Reich T, Vannier M, Raichle ME. Subgenual prefrontal cortex abnormalities in mood disorders. Nature. 1997;386:824-827. FULL TEXT | PUBMED
53. Benedict RH, Shucard DW, Santa Maria MP, Shucard JL, Abara JP, Coad ML, Wack D, Sawusch J, Lockwood A. Covert auditory attention generates activation in the rostral/dorsal anterior cingulate cortex. J Cogn Neurosci. 2002;14:637-645. FULL TEXT | ISI | PUBMED
54. Dreher JC, Grafman J. Dissociating the roles of the rostral anterior cingulate and the lateral prefrontal cortices in performing two tasks simultaneously or successively. Cereb Cortex. 2003;13:329-339. FREE FULL TEXT
55. Wu MT, Sheen JM, Chuang KH, Yang P, Chin SL, Tsai CY, Chen CJ, Liao JR, Lai PH, Chu KA, Pan HB, Yang CF. Neuronal specificity of acupuncture response: a fMRI study with electroacupuncture. Neuroimage. 2002;16:1028-1037. FULL TEXT | ISI | PUBMED
56. Petrovic P, Kalso E, Petersson KM, Ingvar M. Placebo and opioid analgesia: imaging a shared neuronal network. Science. 2002;295:1737-1740. FREE FULL TEXT
57. Drevets WC, Videen TO, Price JL, Preskorn SH, Carmichael ST, Raichle ME. A functional anatomical study of unipolar depression. J Neurosci. 1992;12:3628-3641. ABSTRACT
58. Brothers L. Neurophysiology of the perception of intention by primates. In: Gazzaniga MS, ed. The Cognitive Neurosciences. Cambridge, Mass: MIT Press; 1995:1107-1116.
59. Gur RC, Gur RE, Resnick SM, Skolnick BE, Alavi A, Reivich M. The effect of anxiety on cortical cerebral blood flow and metabolism. J Cereb Blood Flow Metab. 1987;7:173-177. ISI | PUBMED
60. Maas LC, Lukas SE, Kaufman MJ, Weiss RD, Daniels SL, Rogers VW, Kukes TJ, Renshaw PF. Functional magnetic resonance imaging of human brain activation during cue-induced cocaine craving. Am J Psychiatry. 1998;155:124-126. FREE FULL TEXT
61. Childress AR, Mozley PD, McElgin W, Fitzgerald J, Reivich M, O'Brien CP. Limbic activation during cue-induced cocaine craving. Am J Psychiatry. 1999;156:11-18. FREE FULL TEXT
62. Wang GJ, Volkow ND, Fowler JS, Cervany P, Hitzemann RJ, Pappas NR, Wong CT, Felder C. Regional brain metabolic activity during craving elicited by recall of previous drug experiences. Life Sci. 1999;64:775-784. FULL TEXT | ISI | PUBMED
63. Garavan H, Pankiewicz J, Bloom A, Cho JK, Sperry L, Ross TJ, Salmeron BJ, Risinger R, Kelley D, Stein EA. Cue-induced cocaine craving: neuroanatomical specificity for drug users and drug stimuli. Am J Psychiatry. 2000;157:1789-1798. FREE FULL TEXT
64. Brody AL, Mandelkern M, London ED, Childress AR, Lee GS, Bota RG, Ho ML, Saxena S, Baxter LR, Madsen D, Jarvik ME. Brain metabolic changes during cigarette craving. Arch Gen Psychiatry. 2002;59:1162-1172. FREE FULL TEXT
65. Sell LA, Morris JS, Bearn J, Frackowiak RS, Friston KJ, Dolan RJ. Neural responses associated with cue evoked emotional states and heroin in opiate addicts. Drug Alcohol Depend. 2000;60:207-216. FULL TEXT | ISI | PUBMED
66. Daglish MR, Weinstein A, Malizia AL, Wilson S, Melichar JK, Britten S, Brewer C, Lingford-Hughes A, Myles JS, Grasby P, Nutt DJ. Changes in regional cerebral blood flow elicited by craving memories in abstinent opiate-dependent subjects. Am J Psychiatry. 2001;158:1680-1686. FREE FULL TEXT
67. Wexler BE, Gottschalk CH, Fulbright RK, Prohovnik I, Lacadie CM, Rounsaville BJ, Gore JC. Functional magnetic resonance imaging of cocaine craving. Am J Psychiatry. 2001;158:86-95. FREE FULL TEXT
68. Oades RD, Halliday GM. Ventral tegmental (A10) system, neurobiology, 1: anatomy and connectivity. Brain Res Rev. 1987;12:117-165.
69. Williams SM, Goldman-Rakic PS. Widespread origin of the primate mesofrontal dopamine system. Cereb Cortex. 1998;8:321-345. FREE FULL TEXT
70. Ciliax BJ, Drash GW, Staley JK, Haber S, Mobley CJ, Miller GW, Mufson EJ, Mash DC, Levey AI. Immunocytochemical localization of the dopamine transporter in human brain. J Comp Neurol. 1999;409:38-56. FULL TEXT | ISI | PUBMED
71. Crino PB, Morrison JH, Hof PR. Monoaminergic innervation of cingulate cortex. In: Vogt BA, Gabriel M, eds. Neurobiology of Cingulate Cortex and Limbic Thalamus: A Comprehensive Handbook. Boston, Mass: Birkhäuser Publishing Ltd; 1993:285-312.
72. Volkow ND, Chang L, Wang GJ, Fowler JS, Ding YS, Sedler M, Logan J, Franceschi D, Gatley J, Hitzemann R, Gifford A, Wong C, Pappas N. Low level of brain dopamine D2 receptors in methamphetamine abusers: association with metabolism in the orbitofrontal cortex. Am J Psychiatry. 2001;158:2015-2021. FREE FULL TEXT


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati     What's this?

THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES

Methamphetamine Causes Microglial Activation in the Brains of Human Abusers
Sekine et al.
J. Neurosci. 2008;28:5756-5761.
ABSTRACT | FULL TEXT  

High ambient temperature increases intravenous methamphetamine self-administration on fixed and progressive ratio schedules in rats
Cornish et al.
J Psychopharmacol 2008;22:100-110.
ABSTRACT  

Co-Occurring Mental and Substance Use Disorders: The Neurobiological Effects of Chronic Stress
Brady and Sinha
Focus 2007;5:229-239.
ABSTRACT | FULL TEXT  

The adult psychiatrist's dilemma: psychostimulant use in attention deficit/hyperactivity disorder
Ashton et al.
J Psychopharmacol 2006;20:602-610.
ABSTRACT  

Brain Serotonin Transporter Density and Aggression in Abstinent Methamphetamine Abusers
Sekine et al.
Arch Gen Psychiatry 2006;63:90-100.
ABSTRACT | FULL TEXT  

Substance use disorders and the orbitofrontal cortex: Systematic review of behavioural decision-making and neuroimaging studies
Dom et al.
Br. J. Psychiatry 2005;187:209-220.
ABSTRACT | FULL TEXT  

Co-Occurring Mental and Substance Use Disorders: The Neurobiological Effects of Chronic Stress
Brady and Sinha
Am. J. Psychiatry 2005;162:1483-1493.
ABSTRACT | FULL TEXT  

Methamphetamine Users in Sustained Abstinence: A Proton Magnetic Resonance Spectroscopy Study
Nordahl et al.
Arch Gen Psychiatry 2005;62:444-452.
ABSTRACT | FULL TEXT  

Structural Abnormalities in the Brains of Human Subjects Who Use Methamphetamine
Thompson et al.
J. Neurosci. 2004;24:6028-6036.
ABSTRACT | FULL TEXT  

Treatment of Meth Users Should Target Mood-Disorder Symptoms
Rosack
Psychiatr. News 2004;39:50-51.
FULL TEXT  





HOME | CURRENT ISSUE | PAST ISSUES | TOPIC COLLECTIONS | SUBMIT | SUBSCRIBE | HELP
CONDITIONS OF USE | PRIVACY POLICY | CONTACT US | SITE MAP
 
© 2004 American Medical Association. All Rights Reserved.