Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications.
- Authors
- Goldstein, Rita Z; Volkow, Nora D
- Year
- 2011
- Journal
- Nature reviews. Neuroscience
- PMID
- 22011681
- DOI
- 10.1038/nrn3119
- PMCID
- PMC3462342
The loss of control over drug intake that occurs in addiction was initially believed to result from disruption of subcortical reward circuits. However, imaging studies in addictive behaviours have identified a key involvement of the prefrontal cortex (PFC) both through its regulation of limbic reward regions and its involvement in higher-order executive function (for example, self-control, salience attribution and awareness). This Review focuses on functional neuroimaging studies conducted in the past decade that have expanded our understanding of the involvement of the PFC in drug addiction. Disruption of the PFC in addiction underlies not only compulsive drug taking but also accounts for the disadvantageous behaviours that are associated with addiction and the erosion of free will.
Behavioural manifestations of the iRISA syndrome of drug addictionThis figure shows the core clinical symptoms of drug addiction β intoxication, bingeing, withdrawal and craving β as behavioural manifestations of the impaired response inhibition and salience attribution (iRISA) syndrome. Drug self-administration may lead to intoxication, depending on the drug, amount and rate of use, and individual variables. Bingeing episodes develop with some drugs, such as crack cocaine, and drug use becomes compulsive β much more of the drug is consumed and for longer periods than intended β indicating reduced self-control. Other drugs (for example, nicotine and heroin) are associated with more regimented drug use. After discontinuation of excessive or repeated drug use, withdrawal symptoms develop, including lack of motivation, anhedonia, negative emotion and enhanced stress reactivity. Excessive craving or drug wanting, or other, more automatic processes such as attention bias and conditioned responses, can then pave the way to additional drug use even when the addicted individual is trying to abstain (see TABLE 1 for clinical characteristics of addiction in the context of iRISA and the role of the PFC in addiction). Figure is modified, with permission, from REF. 7 Β© (2002) American Psychiatric Association.
Recent neuroimaging studies of PFC activity in drug-addicted individualsThe areas of activation (measured using MRI, positron emission tomography (PET) or single-photon emission computed tomography (SPECT)) (Supplementary information S1 (table)) are plotted in stereotaxic space, shown rendered on the dorsal and ventral surfaces (top part) and the lateral and medial surfaces (middle part and bottom part, respectively) of the human brain. a | Activity changes related to neuropsychological features in addiction. Prefrontal cortex (PFC) areas show differences in activity between individuals with addiction and healthy controls during tasks involving attention and working memory (shown in green), decision making (shown in light blue), inhibitory control (shown in yellow), emotion and motivation (shown in red), and cue reactivity and drug administration (shown in orange). In addition, in some PFC areas activity correlates with task performance or drug use (shown in dark blue). b | Activity changes related to clinical features in addiction, including intoxication and bingeing (shown in red; drugs were used within 48 hours of the study), craving (shown in pink; drugs were used 1β2 weeks before the study) and withdrawal (shown in purple; drugs were used more than 3 weeks before the study). Areas that showed activation in studies in which the stage of addiction was not specified or could not be determined are also indicated (shown in brown). These are the same studies as those depicted in a. Studies were included only if x, y and z coordinates were provided and if these coordinates were within PFC grey matter; studies in which x, y and z coordinates could not be located or were incorrectly labelled were not included. All x, y and z coordinates were converted to Talairach space (using GingerAle, a Cross-platform Java application for Meta-Analysis) before plotting. The Multi-Level Kernel Density Analysis toolbox213,214 was used (see the University of Colorado CANLab software Web site; see also Supplementary information S8 (figure)).
A model of PFC involvement in iRISA in addictionA model of how interactions between prefrontal cortex (PFC) subregions may regulate cognitive, emotional and behavioural changes in addiction. The model shows how changes in the activity of PFC subregions in addicted individuals relate to core clinical symptoms of addiction β intoxication and bingeing, and withdrawal and craving β compared to PFC activity in healthy, non-addicted individuals or states. The model focuses particularly on inhibitory control and emotion regulation. The blue ovals represent dorsal PFC subregions (including the dorsolateral PFC (DLPFC), the dorsal anterior cingulate cortex (dACC) and the inferior frontal gyrus; see TABLE 1) that are involved in higher-order control (βcoldβ processes). The red ovals represent ventral PFC subregions (the medial orbitofrontal cortex (mOFC), the ventromedial PFC and rostroventral ACC) that are involved in more automatic, emotion-related processes (βhotβ processes). Drug-related neuropsychological functions (for example, incentive salience, drug wanting, attention bias and drug seeking) that are regulated by these subregions are represented by darker shades and non-drug related functions (for example, sustained effort) are represented by lighter shades. a | In the healthy state, non-drug related cognitive functions, emotions and behaviours predominate (shown by the large light-coloured ovals) and automatic responses (emotions and action tendencies that could lead to drug taking) are suppressed by input from the dorsal PFC (shown by the thick arrow). Thus, if a person in the healthy state is exposed to drugs, excessive or inappropriate drug-taking behaviour is prevented or stopped (βStop!β). b | During craving and withdrawal, drug-related cognitive functions, emotions and behaviours start to eclipse non-drug related functions, creating a conflict regarding drug taking (βStop?β). Decreased attention and/or value is assigned to non-drug related stimuli (shown by smaller light-shaded ovals), and this reduction is associated with reduced self-control and with anhedonia, stress reactivity and anxiety. There is also an increase (shown by the larger dark-shaded ovals) in drug-biased cognition and cue-induced craving and drug wanting. c | During intoxication and bingeing, higher-order non-drug related cognitive functions (shown by the small light blue oval) are suppressed by increased input (shown by the thick arrow) from the regions that regulate drug-related, βhotβ functions (large dark red oval). That is, there is decreased input from higher-order cognitive control areas (shown by the thin dashed arrow), and the βhotβ regions come to dominate the higher-order cognitive input. Thus, attention narrows to focus on drug-related cues over all other reinforcers, impulsivity increases and basic emotions β such as fear, anger or love β are unleashed, depending on the context and individual predispositions. The result is that automatic, stimulus-driven behaviours, such as compulsive drug consumption, aggression and promiscuity, predominate (βGo!β). This model does not take into account the challenge of localizing PFC functions or the evidence that some addicted individuals use drugs to βself-medicateβ in an attempt to normalize PFC functions (although part a could represent an approximation of the normalized PFC functions in these individuals).
The effect of oral methylphenidate on anterior cingulate cortex activity and function in cocaine addictionMethylphenidate enhances functional MRI cingulate responses and reduces commission errors on a salient (remunerated cue reactivity) cognitive task in individuals with cocaine addiction. a | An axial map of the cortical regions that showed enhanced responses to methylphenidate (MPH) compared to a placebo in cocaine-addicted individuals. These regions are the dorsal anterior cingulate cortex (dACC; Brodmann areas 24 and 32) and the rostroventromedial ACC (rvACC) extending to the medial orbitofrontal cortex (mOFC; Brodmann areas 10 and 32). The significance levels (T scores) of the activations are colour-coded (shown by the colour scale). b | Correlation between BOLD signal (presented as % signal change from placebo) in the rvACC extending to the mOFC (x = β9, y = 42, z = β6; Brodmann areas 10 and 32) during processing of drug-related words and accuracy on the fMRI task (both are delta scores: MPH minus placebo). The subjects are 13 individuals with cocaine use disorders and 14 healthy controls. Figure is reproduced, with permission, from REF. 215 Β© (2011) Macmillan Publishers Ltd. All rights reserved.
| # | Section | Preview |
|---|---|---|
| 60 | Study limitations and future directions | Although there are a few exceptions (implicating the right PFC, particularly the ACC and DLPFC, in⦠|
| 61 | Study limitations and future directions | to explore the potentially modulating effects of other individual characteristics; of particular⦠|
| 62 | Study limitations and future directions | How does co-morbid drug use, which is more the rule than the exception (for example, most alcoholics⦠|
| 63 | Summary and conclusions | In general, neuroimaging studies have revealed an emerging pattern of generalized PFC dysfunction in⦠|
| 64 | Summary and conclusions | the dorsal PFC (including the dACC, DLPFC and inferior frontal gyrus) has been predominantly⦠|
| Name | Type |
|---|---|
| Abnormal PFC reactivity local | phenotype |
| abstinence | phenotype |
| abstinence duration local | phenotype |
| Abstinent heroin-addicted individuals local | cohort |
| Abstinent users local | cohort |
| ACC | anatomy |
| ACC hypoactivation local | phenotype |
| ACC (right) local | anatomy |
| activation patterns local | phenotype |
| active cocaine users local | cohort |
| addiction | phenotype |
| Addiction vulnerability genes local | gene |
| adolescents | cohort |
| affect matching local | phenotype |
| alcohol | phenotype |
| alcohol abuse | phenotype |
| Alcohol-addicted subjects local | cohort |
| alcoholism | phenotype |
| Alcohol Urge local | phenotype |
| Alcohol Use | phenotype |
| alexithymia | phenotype |
| allostatic adaptation local | phenotype |
| AMPA receptor agonists local | drug |
| amygdala | anatomy |
| anger | phenotype |
| anhedonia | phenotype |
| anorexia nervosa | phenotype |
| anterior cingulate cortex | anatomy |
| anterior prefrontal cortex | anatomy |
| appetitive hedonic and motivational processes local | phenotype |
| attention | phenotype |
| attention bias local | phenotype |
| aversive systems local | phenotype |
| baseline self-control local | phenotype |
| Behavioral addictions | phenotype |
| behavioural flexibility local | phenotype |
| bilateral DLPFC hyperactivation local | phenotype |
| bilateral ventrolateral PFC local | anatomy |
| bingeing local | phenotype |
| BOLD signal | phenotype |
| boredom | phenotype |
| brainβbehaviour responses local | phenotype |
| Brodmann area 10 | anatomy |
| Brodmann area 32 | anatomy |
| Brodmann area 9 | anatomy |
| bulimia nervosa | phenotype |
| cannabinoids | drug |
| careful behavioural adjustment local | phenotype |
| cerebellum | anatomy |
| cerebral blood flow | phenotype |
| cholinergic agonists | drug |
| Cigarette-related cues local | drug |
| cigarettes | phenotype |
| Cigarette smokers (12h abstinent) local | cohort |
| cocaine | phenotype |
| Cocaine-addicted cohort local | cohort |
| cocaine-addicted group local | cohort |
| cocaine-addicted individuals local | cohort |
| Cocaine-addicted individuals local | cohort |
| cocaine-addicted men local | cohort |
| cocaine-addicted subjects local | cohort |
| cocaine use disorder | phenotype |
| cognition | phenotype |
| cognitive-control challenge local | phenotype |
| Cognitive disruptions local | phenotype |
| cognitive effort local | phenotype |
| compensatory brain changes local | phenotype |
| compulsive behaviours local | phenotype |
| compulsive drug use local | phenotype |
| compulsive use local | phenotype |
| Conditioned Response local | phenotype |
| Conflict detection | phenotype |
| conflict resolution | phenotype |
| control group | cohort |
| control of craving local | phenotype |
| controls | cohort |
| control subjects | cohort |
| craving | phenotype |
| craving of imagined foods local | phenotype |
| Criminal activities local | phenotype |
| cue-induced compulsive behaviours local | phenotype |
| cue-induced PFC response local | phenotype |
| cue-induced responses local | phenotype |
| cue reactivity | phenotype |
| cue-related PFC activation local | phenotype |
| dACC | anatomy |
| dACC (left) local | anatomy |
| decision making | phenotype |
| decreased sensitivity to non-drug related reward local | phenotype |
| Decreased striatal dopamine D2 receptor availability local | phenotype |
| Default brain network local | anatomy |
| deficient task performance local | phenotype |
| delay discounting | phenotype |
| denial of illness local | phenotype |
| depression | phenotype |
| dlPFC | anatomy |
| DLPFC (right) local | anatomy |
| dopamine | drug |
| dopamine agonists | drug |
| Dopamine D2 receptor | drug |
| dorsal ACC | anatomy |
| Dorsal ACC (dACC) local | anatomy |
| dorsal prefrontal cortex | anatomy |
| dorsolateral prefrontal cortex | anatomy |
| Dorsolateral prefrontal cortex (DLPFC) local | anatomy |
| dorsomedial PFC local | anatomy |
| dorsomedial PFC hypoactivation local | phenotype |
| Dorsomedial prefrontal cortex (dorsomedial PFC) local | anatomy |
| drug | drug |
| Drug abusers local | cohort |
| drug-addicted individuals local | cohort |
| Drug cues local | phenotype |
| drug dependence | phenotype |
| drug expectation local | phenotype |
| Drug-naive rhesus monkeys local | cohort |
| Drug relapse local | phenotype |
| drug-related cues local | drug |
| Drug-Related Cues local | drug |
| drug-related working memories local | phenotype |
| Drug reward preference local | phenotype |
| drugs | drug |
| drug use 3 months later local | phenotype |
| Early abstinence local | phenotype |
| eating disorders | phenotype |
| Emotion | phenotype |
| emotional challenge local | phenotype |
| emotional concern local | phenotype |
| emotional disruptions local | phenotype |
| emotional impairment | phenotype |
| Emotional learning local | phenotype |
| emotional processing regions local | anatomy |
| emotional reactivity | phenotype |
| emotion regulation | phenotype |
| enhanced dACC activation local | phenotype |
| enhanced impulsivity local | phenotype |
| Equal valuation of monetary amounts local | phenotype |
| error awareness | phenotype |
| errors of commission | phenotype |
| errors of omission | phenotype |
| expectation | phenotype |
| failed response inhibitions local | phenotype |
| fear | phenotype |
| female smokers local | cohort |
| food deprivation local | phenotype |
| food intake | phenotype |
| Food pictures local | drug |
| Food-related cues local | drug |
| frequency of cocaine use local | phenotype |
| frequency of drug use local | phenotype |
| Frequency of recent cocaine use local | phenotype |
| frequent high-dose drug use local | phenotype |
| frontopolar cortex | anatomy |
| frustration local | phenotype |
| genes associated with vulnerability for addiction local | gene |
| glucose metabolic activity local | phenotype |
| glucose metabolism | phenotype |
| go/no-go task | phenotype |
| go/no-go task performance local | phenotype |
| happiness | phenotype |
| healthy controls | cohort |
| Healthy non-addicted subjects local | cohort |
| heavy drinking | phenotype |
| Heroin-addicted individuals local | cohort |
| heroin-addicted men local | cohort |
| heroin-dependent local | cohort |
| heroin-dependent males local | cohort |
| high | phenotype |
| Higher activations in left DLPFC local | phenotype |
| Higher activations in right dACC local | phenotype |
| higher-order cognitive control regions local | anatomy |
| higher-order executive function local | phenotype |
| higher working-memory load local | phenotype |
| human brain | anatomy |
| Human neuroimaging study local | cohort |
| Hyperactivation in DLPFC local | phenotype |
| hypoactivation local | phenotype |
| Hypoactivation in ACC local | phenotype |
| Hypoactivation in dorsomedial PFC local | phenotype |
| Hypoactivation in OFC local | phenotype |
| Impaired control of food consumption local | phenotype |
| impaired inhibitory control local | phenotype |
| Impaired inhibitory control local | phenotype |
| Impaired insight into own choice behaviour local | phenotype |
| Impaired non-drug reward valuation local | phenotype |
| impaired performance | phenotype |
| Impulsive behaviours local | phenotype |
| impulsivity | phenotype |
| inferior frontal gyrus | anatomy |
| inferior frontal gyrus hyperactivation local | phenotype |
| informative cueing local | drug |
| inhibition errors local | phenotype |
| Inhibition Errors local | phenotype |
| inhibitory behavioural deficit local | phenotype |
| inhibitory control | phenotype |
| insula | anatomy |
| interpersonal sensitivity local | phenotype |
| intoxication | phenotype |
| iRISA local | phenotype |
| Large imaging data sets local | cohort |
| laterality local | phenotype |
| lateral orbitofrontal cortex | anatomy |
| left ACC local | anatomy |
| Left ACC local | anatomy |
| left ACC hypoactivation local | phenotype |
| left dACC local | anatomy |
| left dACC hyperactivation local | phenotype |
| left dlPFC | anatomy |
| Left lateral orbitofrontal cortex (OFC) local | anatomy |
| left middle frontal cortex local | anatomy |
| left ventral prefrontal cortex local | anatomy |
| limbic regions | anatomy |
| litchi juice local | drug |
| long-term abstinence | phenotype |
| long-term abstinent alcoholics | phenotype |
| Lower activations in left ACC local | phenotype |
| lower cerebral blood flow local | phenotype |
| major depressive disorder | phenotype |
| marijuana | phenotype |
| marijuana smokers local | cohort |
| Marijuana-using men local | cohort |
| masked drug-related cues local | phenotype |
| Maternal behaviour local | drug |
| medial frontal cortex | anatomy |
| medial orbitofrontal cortex | anatomy |
| medial prefrontal cortex | anatomy |
| medication | drug |
| Men with alcohol addiction local | cohort |
| Methadone | drug |
| methamphetamine | drug |
| methamphetamine-addicted individuals local | cohort |
| Methamphetamine-addicted individuals local | cohort |
| methamphetamine-dependent subjects local | cohort |
| Methamphetamine-dependent subjects local | cohort |
| methylphenidate | drug |
| midbrain | anatomy |
| monetary loss | phenotype |
| money | drug |
| monkeys | cohort |
| More errors local | phenotype |
| motivated attention local | phenotype |
| Negative emotional arousal local | phenotype |
| negative reinforcement | phenotype |
| neural-behavioural dissociation local | phenotype |
| nicotine | drug |
| nicotine-addicted individuals local | cohort |
| non-addicted individuals local | cohort |
| non-addicted subjects local | cohort |
| non-dependent alcohol drinkers local | cohort |
| Non-drug related reward sensitivity local | phenotype |
| Non-drug reward preference local | phenotype |
| non-stimulant drugs local | drug |
| noradrenaline | drug |
| Novelty local | drug |
| occasional smokers | phenotype |
| opponent-process hypothesis local | phenotype |
| orbitofrontal cortex | anatomy |
| Orbitofrontal cortex (OFC) local | anatomy |
| outcome | phenotype |
| overnight-abstinent cocaine-addicted individuals local | cohort |
| paralimbic regions local | anatomy |
| pathological gamblers | cohort |
| pathological gambling | phenotype |
| perigenual ACC local | anatomy |
| PFC | anatomy |
| PFC dysfunction local | phenotype |
| PFC subregions local | anatomy |
| positive reinforcement | phenotype |
| prefrontal cortex | anatomy |
| Prefrontal cortex (PFC) local | anatomy |
| primed emotion recognition task performance local | phenotype |
| protracted withdrawal | phenotype |
| psychological distress | phenotype |
| rats | cohort |
| Reduced accuracy | phenotype |
| reduced DLPFC activation local | phenotype |
| relapse | phenotype |
| resting functional connectivity local | phenotype |
| reward | phenotype |
| rewarding effects | phenotype |
| reward system | anatomy |
| right ACC | anatomy |
| right dACC local | anatomy |
| Right dACC local | anatomy |
| right dlPFC | anatomy |
| right DLPFC hyperactivation local | phenotype |
| right dorsolateral prefrontal cortex | anatomy |
| right inferior frontal gyrus | anatomy |
| right orbitofrontal cortex | anatomy |
| right prefrontal cortex | anatomy |
| right ventrolateral PFC local | anatomy |
| risk taking | phenotype |
| ROI | anatomy |
| Rostral anterior cingulate cortex (ACC) local | anatomy |
| rostroventral anterior cingulate cortex local | anatomy |
| satiety local | phenotype |
| self-awareness local | phenotype |
| self-control | phenotype |
| Self-report/behavior discordance local | phenotype |
| Self-reported engagement local | phenotype |
| self-reported hostility local | phenotype |
| severity of drug use | phenotype |
| Severity of gambling addiction local | phenotype |
| sex differences | phenotype |
| shorter lifetime alcohol use local | phenotype |
| short-term abstinence | phenotype |
| short-term abstinent alcoholics local | cohort |
| slowed reaction time local | phenotype |
| Slower performance local | phenotype |
| slower reaction times | phenotype |
| smoking | phenotype |
| smoking dependence | phenotype |
| stimulant drugs | drug |
| stimulants | drug |
| stimulant users local | cohort |
| stop-signal reaction time | phenotype |
| stress | phenotype |
| striatum | anatomy |
| subcallosal gyrus local | anatomy |
| subcortical regions | anatomy |
| subcortical reward circuit local | anatomy |
| subjects with higher alcohol urge local | cohort |
| substance use | phenotype |
| successful response inhibitions local | phenotype |
| superior parietal cortex | anatomy |
| task-induced craving suppression local | phenotype |
| task performance | phenotype |
| thalamus | anatomy |
| tolerance | phenotype |
| treatment-seeking cigarette smokers local | cohort |
| treatment-seeking individuals | cohort |
| Urge to gamble local | phenotype |
| Urge to play local | phenotype |
| urge to use the drug local | phenotype |
| urinary cannabinoid levels local | phenotype |
| ventral ACC | anatomy |
| ventral PFC local | anatomy |
| ventral striatum | anatomy |
| ventrolateral prefrontal cortex | anatomy |
| ventromedial PFC | anatomy |
| ventromedial prefrontal cortex | anatomy |
| vulnerability | phenotype |
| whole-brain glucose metabolism local | phenotype |
| withdrawal | phenotype |
| Women with anorexia local | cohort |
| Women with bulimia local | cohort |
| working memory | phenotype |
| young cigarette smokers local | cohort |
| young drinkers local | cohort |
| young healthy controls local | cohort |
| Young male internet gamers local | cohort |
| young marijuana abusers local | cohort |
| Young women with eating disorders local | cohort |
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