Drug Addiction


MRI method

Authors/study

Major findings

fMRI

Gruesser et al. (2004)

Heightened cue-induced activation in the ACC, striatum, and mPFC predicted subsequent alcohol intake in alcoholics vs. controls

fMRI

Heinz et al. (2007)

Limbic brain activation towards affectively positive stimuli correlated inversely with prospective relapse in alcoholics vs. controls

fMRI

Wrase et al. (2007)

Reduced striatal functional activation during monetary gain anticipation in alcoholics vs. controls, which correlated negatively with craving

Increased striatal activation towards alcohol-associated stimuli in alcoholics vs. controls, which correlated positively with craving severity

fMRI

Myrick et al. (2008)

Anti-craving medication naltrexone and ondansetron reduced alcohol cue-induced striatal activation compared to placebo treatment in alcoholics

The combination treatment decreased craving while viewing alcohol cues in alcoholics

fMRI

Park et al. (2010)

Dysfunctional frontostriatal connectivity predicted abnormal decision-making and higher alcohol craving in male alcohol-dependent patients vs. healthy controls

fMRI + structural MRI

Beck et al. (2012)

Increased alcohol cue-induced mPFC activation in relapsers vs. abstainers

mPFC gray matter loss pronounced in relapsers vs. abstainers

fMRI + structural MRI

Charlet et al. (2013b)

Increased ACC activation towards aversive facial stimuli correlated with less previous lifetime alcohol intake and better treatment outcome in alcoholics vs. healthy controls

Gray matter alterations explained most of the reduced brain activation found in alcoholics

fMRI + structural MRI

Charlet et al. (2013c)

Increased PFC and premotor activations during high working memory load predict low relapse risk in alcoholics

Structural MRI

Schroth et al. (1988)

Reduction in CSF volume after 5 weeks of alcohol abstinence, but no white matter changes

Structural MRI

Di Sclafani et al. (1995)

Age-related ventricular enlargement in alcoholics vs. controls

Structural MRI

Sullivan et al. (1995)

Age-related gray matter volume loss in the anterior hippocampus and temporal cortex; white matter loss and ventricular enlargement in alcoholics vs. controls

Structural MRI

Hommer et al. (1996)

Smaller corpus callosum area among alcoholic women compared to healthy women and to alcoholic men

Structural MRI

Pfefferbaum et al. (1996)

Reduction of the callosal area in chronic alcoholics vs. controls

Structural MRI

Pfefferbaum et al. (1997)

More severe volume deficits in the cortical gray and white matter, sulcal and ventricular enlargement in older vs. younger alcoholics, e.g., in (pre)frontal regions

Structural MRI

Laakso et al. (2000)

Smaller right hippocampal volumes in late-onset type 1 alcoholics and early-onset type 2 alcoholics

Structural MRI

Hommer et al. (2001)

More pronounced reductions of gray and white matter volumes in alcoholic women vs. alcoholic men

DTI

Schulte et al. (2005)

Disruption of corpus callosum microstructure contributed to disturbance in interhemispheric processing in alcoholics

DTI

Pfefferbaum et al. (2006)

Age-related macro- and microstructural white matter disruption of the corpus callosum in alcoholics

DTI

Harris et al. (2008)

Diminished white matter density in the right frontal and cingulum in alcoholics, which was related to working memory performance

PET

Volkow et al. (1996)

Significant reductions in DA D2 receptors (postsynaptic marker) but not in dopamine transporter availability (presynaptic marker) in alcoholics vs. nonalcoholics

PET

Heinz et al. (2005b)

Low striatal DA synthesis capacity and low DA D2/3 receptor availability was linked with high levels of craving in alcoholics

Alcohol craving correlated positively with relapse

PET

Heinz et al. (2005a)

Elevated mu-opiate receptors availability in the ventral striatum, including the NAc in abstinent alcoholics vs. healthy controls, which was associated with higher craving

Remained elevated even after 5 weeks of remeasurement

PET + fMRI

Heinz et al. (2004)

Less DA D2 receptor availability was linked with alcohol craving and increased drug cue-induced striatal activation in detoxified alcoholics vs. controls

SPECT

Heinz et al. (1998b)

Reduced 5-HTT transporter availability in the brainstem area was linked to increased anxiety, depression, and lifetime alcohol consumption in alcoholics

SPECT

Abi-Dargham et al. (1998)

Decreased GABAA receptor density in the ACC, PFC, and cerebellum in abstinent alcoholics

SPECT

Harris et al. (1999)

Decline in cortical/cerebellar perfusion ratio with aging and age at last drink in alcoholics vs. controls

SPECT

Heinz et al. (2000)

Reduced raphe 5-HTT availability in ll-homozygous alcoholics correlated with higher alcohol consumption

1H-MRS

Martin et al. (1995)

Increases of cerebellar Cho/NAA ratio during the first 3–4 weeks of abstinence; distinct reductions in the Cho/NAA ratio was associated with relapse

1H-MRS

Jagannathan et al. (1996)

Reduced NAA/Cr and NAA/Cho ratios in the frontal lobe, cerebellum, and thalamus in alcoholics vs. controls

1H-MRS

Ende et al. (2005)

Reduced Cho in the frontal white matter and cerebellum, which increased within 3 months of abstinence; trend towards reduced NAA in frontal white matter

1H-MRS

Durazzo et al. (2006)

Partial recovery of regional NAA and Cho in frontal and parietal regions after 1 month of abstinence, which was inversely affected by chronic smoking

1H-MRS

Umhau et al. (2010)

Reduction of the glutamate to Cr ratio across 4 weeks of acamprosate medication in alcoholics

1H-MRS

Hermann et al. (2012)

Increased glutamate absolute concentrations during acute alcohol withdrawal in prefrontocortical regions in alcoholics vs. controls, which normalized within 2 weeks

1H-MRS + structural MRI

Seitz et al. (1999)

Reductions of cerebellar tissue and cerebellar NAA/Cr and CH/Cr ratio in alcoholics vs. controls

1H-MRS + structural MRI

Bendszus et al. (2001)

Normalization of acute withdrawal-related decreased NAA/Cr levels in the frontal lobe and cerebellum and decreased cerebellar CH/Cr ratio in alcoholics after 5 weeks of abstinence

Reduction in the CSF volume within 5 weeks of abstinence in alcoholics

1H-MRS + structural MRI

Bartsch et al. (2007)

Global volumetric brain recovery within 6–7 weeks of sobriety in alcoholics but not in controls, which was partially correlated with increasing cerebellar Cho and frontomesial NAA levels

1H-MRS + structural MRI

Lee et al. (2007)

Increased glutamate to Cr ratio in the ACC was positively related to alcohol consumption during the last month in young abstinent alcoholics

No group differences on gray matter volume found in alcoholics and controls


1 H-MRS proton magnetic resonance spectroscopy, 5-HTT serotonin, ACC anterior cingulate cortex, Cho choline, Cr creatine, CSF cerebrospinal fluid, DA dopamine, DTI diffusion tensor imaging, fMRI functional magnetic resonance imaging, GABA gamma-aminobutyric acid, mPFC medial prefrontal cortex, MRI magnetic resonance imaging, NAA N-acetyl-aspartate, Nac nucleus accumbens, PET positron-emission tomography, SPECT single photon emission computed tomography






19.3 Drug Dependence Other than Alcoholism


All psychotropic drugs of abuse are characterized by a dysfunctional responsiveness of the brain reward system and share adaptational mechanisms also found in alcohol dependence. Hence, drug and alcohol dependence is characterized by increased tolerance to excessive drug intake due to homeostatic counteradaptations such as reductions in neuroreceptors stimulated by drugs of abuse, and withdrawal symptoms appear as an expression of impaired homeostasis between excitatory and inhibitory neurotransmitter systems once drug intake is suddenly stopped during withdrawal (Koob 2003; Heinz et al. 2009a). Likewise, all drugs of abuse stimulate DA release, and this activating effect does not appear to habituate, resulting in counteradaptive downregulations of DA neurotransmission and impaired effects of nondrug rewards, thus biasing the individual towards urging for the relative strong effects of drug consumption (Heinz et al. 2009a, b).


19.3.1 Heroin/Opiates


Opiates suppress the inhibitory effect of GABAergic neurons on dopaminergic neurons in the ventral tegmental area, resulting in an increased activity of DA neurotransmission in the ventral striatum (Kreek 2008). Opiates also strongly impact on opiate receptors and inhibit noradrenergic neurons in the locus coeruleus (Kreek 2008). The thus suppressed noradrenergic activity results in clinically manifest symptoms of opiate intoxication such as bradycardia, drowsiness, and slow respiration. This opioidergic inhibition of noradrenergic neurons in the locus coeruleus results in counteradaptive upregulation of noradrenergic neurotransmission, resulting in a new homeostatic balance between noradrenergic neuroadaptation and opioidergic inhibition as long as opiate intake is maintained on a relatively regular basis. However, when opioidergic inhibition of noradrenergic neurotransmission is suddenly interrupted during abstinence, noradrenergic hyperactivity occurs with typical physical and affective withdrawal symptoms, e.g., tachycardia, transpiration, restlessness, sleep disorders, and anxiety (Kosten and George 2002). Because of heroin’s short half-life period of 6 h, dependent subjects need to consume heroin several times a day in order to avoid aversive withdrawal symptoms, thus negatively reinforcing drug intake via the avoidance of a highly unpleasant state. Interestingly, withdrawal symptoms can also occur as a consequence of context-conditioned learning: Siegel (1983) observed that counteradaptive mechanisms lead to withdrawal symptoms as soon as rats used to opiate application in a certain context (cage) are left in this environment without opiate supply. Context-dependent cues thus seem to activate, e.g., noradrenergic upregulation, resulting in hyper-excitation once opiate application does not occur as expected. If on the other hand usual opiate doses were applied in an unfamiliar context, e.g., an unknown cage, animals used to a certain opiate dose displayed symptoms of opiate intoxication and even died, indicating that in the unknown context, their organisms failed to actively prepare for renewed intoxication via context-conditioned neuroadaptational processes (Siegel 1983). In humans, comparable conditioned effects of chronic drug intake may manifest as perception biases towards drug-associated stimuli and memory including related emotions and modification of (aversive) emotional states. For instance, Lubman and colleagues observed that long-term heroin users vs. healthy controls displayed altered processing of drug-related (e.g., pictures of drug preparation and injection) and pleasant pictures (e.g., pictures of food, erotic nudes): positive pictures, contrary to drug-related pictures, elicited less physiological responses and lower self-reported arousal in drug-dependent subjects. Further, low valence ratings of pleasant pictures predicted consistently regular heroin use (at least once a week) at a median of a 6-month follow-up assessment (Lubman et al. 2009). Like in alcohol dependence, prolonged abstinence allows for neurofunctional recovery, hypothetically reflected in decreased salience of drug-associated cues, thereby, reducing the risk of relapses. Indeed, an fMRI study indicated that following long-term compared to short heroin abstinence, subjects displayed decreased neural responses to heroin-related cues in brain regions subserving visual sensory processing, attention, memory, and action planning (Lou et al. 2012).


19.3.2 Cocaine and Other Psychostimulants


The strong effects of cocaine on the DA system can be demonstrated by the fact that the consumption of this substance discharges about 400 % of the dopamine doses normally released by natural reinforcers, such as food or sexual activities (Hurd et al. 1990). These massive effects lead to a counteradaptive reduction in (striatal) DA D2 receptor availability in cocaine-dependent subjects (Volkow et al. 1993), and this striatal downregulation predicted reduced functional responses to a non-drug-related reinforcer (monetary reward) in the thalamus, a brain region that is implicated in DA-modulated conditioned responses and reward expectation (Asensio et al. 2010). However, in this study also a low DA D2 receptor availability in the dorsal and ventral striatum was found to be correlated with high responsiveness of the dorsal superior medial frontal gyrus (Brodmann area 6/8/32), an area that is crucially involved in behavioral monitoring. Asensio and coworkers assumed that cocaine-addicted individuals who displayed lower ventral striatal DA D2 receptor availability are also the ones who possibly need to compensate particularly for their reduced sensitivity to monetary reinforcement (Goldstein et al. 2007) or for their increased impulsivity (Asensio et al. 2010). Other fMRI-based study revealed reduced brain activation elicited by naturally reinforcing visual stimuli, e.g., pictures with erotic content, while cocaine-associated cues which triggered craving elicited increased functional responses throughout the brain including prefrontal, limbic, and parietal regions (Garavan et al. 2000). It has been hypothesized that prefrontal brain activation elicited by drug-related stimuli impairs executive function and behavior control (Beck et al. 2012). Indeed, a prospective fMRI study by Paulus et al. (2005) observed that decreased activation of the PFC during a decision-making task was associated with the subsequent relapse risk in methamphetamine-dependent patients.


19.4 Non-substance-related Addiction


Another class of addictions are the so-called non-substance-related or behavioral addictions, e.g., pathological gambling. Referring to ICD-10, pathological gambling is subsumed in the chapter “Disorders of Adult Personality and Behavior” in the category “habit and impulse disorders” (Dilling et al. 2000), whereas in DSM-IV, pathological gambling is classified as an “impulse-control disorder” (Saß et al. 2003).

Looking at the criteria, pathological gambling and substance-related disorders share a variety of symptoms (Grüsser and Thalemann 2006; Potenza 2006):



  • An appetitive urge or strong craving state prior to the engagement in the behavior


  • Preoccupation with gambling (e.g., preoccupied with reliving past gambling experiences, handicapping or planning the next venture, or thinking of ways to get money with which to gamble)


  • Need to gamble with increasing amounts of money in order to achieve the desired excitement


  • Repeated unsuccessful efforts to control, cut back, or stop gambling


  • Continued engagement in the behavior despite adverse consequences: the person has jeopardized or lost a significant relationship, job, or educational or career opportunity because of gambling

Also imaging data suggest a closer relationship between pathological gambling and substance use disorders than between pathological gambling and obsessive-compulsive disorder (Potenza 2008). For example, neurobiological studies investigated cue reactivity processes in behavioral addictions, i.e., when subjects are confronted with stimuli closely related to gambling. Crockford and associates (2005) observed that pathological gamblers exhibited significantly greater activity in the right dorsolateral prefrontal cortex (DLPFC), including the inferior and medial frontal gyri, the right parahippocampal gyrus, and the left occipital cortex, including the fusiform gyrus, during visual presentations of gambling-related video alternating with video of nature scenes. They moreover reported a significant increase in craving for gambling after the study.

Other studies suggested that there is also a reduction in the sensitivity of the reward system in behavioral addictions that resembles reward system dysfunction in substance dependence: Reuter and colleagues (2005) used fMRI to investigate pathological gamblers and healthy volunteers during a game. They observed a reduction of ventral striatal and ventromedial prefrontal activation in pathological gamblers, which was negatively correlated with gambling severity, linking hypoactivation of these areas to disease severity (Reuter et al. 2005). In another study among pathological gamblers, de Ruiter et al. (2009) showed a diminished reward and punishment sensitivity as indicated by hypoactivation of the ventrolateral PFC when money was gained and lost.

As described earlier, alcohol dependence is associated with smaller gray matter volumes in a variety of cortical and subcortical brain regions.Comparably van Holst et al. (2012) hypothesized that there might be structural abnormalities in pathological gamblers, because the same cognitive impairments have been found in patients suffering from problem gambling behavior and from substance dependence. However, in contrast to alcohol, gambling behavior does not expose the brain to toxic agents. Using voxel-based morphometry, van Holst et al. assessed gray matter volumes in treatment-seeking problem gamblers, subjects with alcohol use disorders, and healthy volunteers. They replicated previous findings of smaller gray matter volumes in subjects with alcohol use disorders, but did not observe significant morphological brain abnormalities in problem gamblers. Moreover, Joutsa et al. (2011) investigated possible changes in regional brain gray and white matter volumes as well as white matter integrity in pathological gamblers compared to healthy controls; again there was no volumetric difference in gray matter as well as in white matter between pathological gamblers and controls. However, in pathological gamblers, Joutsa and colleagues observed lower white matter integrity in multiple brain regions including the corpus callosum, the cingulum, the superior and inferior longitudinal fascicle, the anterior thalamic radiation, and the inferior fronto-occipital fascicle, which require replication in further studies (e.g., Lane et al. 2010).

Mar 18, 2016 | Posted by in GASTROINTESTINAL IMAGING | Comments Off on Drug Addiction

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