Methamphetamine use and cognitive function: A systematic review of neuroimaging research

Sabrini, Sabrini; Wang, Grace; Lin, Joanne C.; Ian, J.K.; Curley, Louise E.

doi:10.1016/j.drugalcdep.2018.08.041

Cited by 71 publications

(50 citation statements)

References 75 publications

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“…The subjective evaluation of the offers has been described by a hyperbolic function [e.g. (55)]: V = A/(1 + kd) , where V represents the subjective value of the amount A after a delay d (3,7,14,31,61,180, or 365 days) and k is a free parameter representing the discount rate. Larger k values represent preference for immediate amounts, which has been interpreted as impulsive choice behavior.…”

Section: Impulsive Choicementioning

confidence: 99%

“…Moreover, chronic MA abuse is associated with abnormalities in brain structure, metabolism and functions, predominantly within the frontostriatal and limbic systems (12). Such changes reflect cognitive impairments (13,14) with pronounced alterations in multiple aspects of attentional control, working memory and executive functions including decision-making (15)(16)(17)(18)(19). Clinically, MA-dependent individuals appear distractible and exhibit difficulties in sustaining attention.…”

Section: Introductionmentioning

confidence: 99%

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Neurocognitive Dysfunctions and Their Therapeutic Modulation in Patients With Methamphetamine Dependence: A Pilot Study

et al. 2020

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Aim: Methamphetamine (MA) abuse and dependence are increasing worldwide and are commonly associated with cognitive deficits. Some studies indicate that such impairments can improve if users become abstinent, but overall results remain inconclusive. Hence, we have performed a longitudinal case-control study investigating key surrogates for attention and impulsive decision-making before and after treatment. Methods: Thirty patients with MA dependence and 24 non-substance-abusing control participants were recruited. Groups were matched on age, sex and education. All subjects performed a baseline assessment to obtain neurocognitive measures of sustained attention and delay discounting. Patients subsequently participated in an MA-specific relapse prevention program including repeated monitoring of relapse status. After 3 months, participants of both groups were reevaluated for neurocognitive performance. Results: At baseline, MA patients showed a significantly higher number of omissions compared to controls, indicative of lower sustained attention. Interestingly, we observed a steep decrease of omissions in MA patients to control-group level post treatment. On the other hand, MA patients discounted delayed rewards significantly stronger than controls, indicating a more impulsive choice behavior both before and after treatment. Limitation: The results should be interpreted with care because of the small sample and short follow-up period. Conclusion: Our data support earlier findings on partial recovery of cognitive deficits in MA patients. They also strengthen the indication for recently recommended psychotherapeutic interventions and may provide a behavioral monitoring tool to inform treatment progress.

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Section: Impulsive Choicementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Neurocognitive Dysfunctions and Their Therapeutic Modulation in Patients With Methamphetamine Dependence: A Pilot Study

et al. 2020

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“…Long-term MA exposure is always linked to a broad range of impaired functional domains, including executive control, emotional regulation, reward processing, and goal-directed behaviors (7). In addition, altered activations in distributed brain areas, such as prefrontal cortex, striatum and hippocampus, have been reported to involve in cognitive and emotional impairments in MA users (8,9). As the large-scale brain network model has been proposed, rather than isolated brain regions, recent literatures have emphasized several intrinsically defined networks in the pathophysiology of addiction, like the executive control network (ECN), affective-limbic network, default-mode network (DMN), etc.…”

Section: Introductionmentioning

confidence: 99%

“…The affective-limbic network, covering a collection of subcortical structures such as amygdala, thalamus and cingulate gyrus, is engaged in dysregulated emotional activities, drug-related cue induced conditioning learning and memory (13,14). Moreover, clinical observations have revealed altered activation patterns of these large-scale networks accompanied by reduction in clinical features when drug users remained abstinent (8).…”

Section: Introductionmentioning

confidence: 99%

Aberrant Resting-State Cerebellar-Cerebral Functional Connectivity in Methamphetamine-Dependent Individuals After Six Months Abstinence

Zhong

et al. 2020

Front. Psychiatry

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Background: Structural and functional alterations in the cerebellum have been consistently reported in addiction literatures. However, evidence implicating the restingstate cerebellar-cerebral functional connectivity in methamphetamine (MA) use disorder still remains limited. Methods: Resting-state functional magnetic resonance imaging (fMRI) scans were obtained from 34 MA dependent individuals with about six months abstinence and 31 healthy controls (well matched for age, gender and education) in this study. Seed-based functional connectivity analysis was employed to investigate the differences in cerebellarcerebral functional connectivity between two groups. The correlations between significant functional connectivity and each clinical characteristic were also explored. Results: Compared to healthy controls, MA dependent individuals showed disrupted functional connectivity between the cerebellum and several cerebral functional networks, including the default-mode, affective-limbic, and sensorimotor networks. Within the MA group, functional connectivity of the right cerebellar lobule VI-precuneus coupling was negatively correlated with addiction severity. Conclusion: The present study suggests that cerebellar dysfunction, in particular aberrant cerebellar-cerebral functional connectivity, might involve in neurobiological mechanism of MA dependence, which supply a potential target for therapeutic interventions in the future.

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“…Such reductions of modularity are found in humans who suffer from dementia and traumatic brain injury and are associated with cognitive deficits [28–33]. Changes in network structure/functional connectivity [10–13] and cognitive function [34–36] have been observed after chronic drug use and withdrawal, suggesting that similar mechanisms may be active between these different neural disorders.…”

Section: Discussionmentioning

confidence: 99%

Characterization of the brain functional architecture of psychostimulant withdrawal using single-cell whole brain imaging

Kimbrough

Smith

Kallupi

et al. 2019

Preprint

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Numerous brain regions have been identified as contributing to addiction-like behaviors, but unclear is the way in which these brain regions as a whole lead to addiction. The search for a final common brain pathway that is involved in addiction remains elusive. To address this question, we used male C57BL/6J mice and performed single-cell whole-brain imaging of neural activity during withdrawal from cocaine, methamphetamine, and nicotine. We used hierarchical clustering and graph theory to identify similarities and differences in brain functional architecture. Although methamphetamine and cocaine shared some network similarities, the main common neuroadaptation between these psychostimulant drugs was a dramatic decrease in modularity, with a shift from a cortical- to subcortical-driven network, including a decrease in total hub brain regions. These results demonstrate that psychostimulant withdrawal produces the drug-dependent remodeling of functional architecture of the brain and suggest that the decreased modularity of brain functional networks and not a specific set of brain regions may represent the final common pathway that leads to addiction.Significance StatementA key aspect of treating drug abuse is understanding similarities and differences of how drugs of abuse affect the brain. In the present study we examined how the brain is altered during withdrawal from psychostimulants. We found that each drug produced a unique pattern of activity in the brain, but that brains in withdrawal from cocaine and methamphetamine shared similar features. Interestingly, we found the major common link between withdrawal from all psychostimulants, when compared to controls, was a shift in the broad organization of the brain in the form of reduced modularity. Reduced modularity has been shown in several brain disorders, including traumatic brain injury, and dementia, and may be the common link between drugs of abuse.

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Methamphetamine use and cognitive function: A systematic review of neuroimaging research

Cited by 71 publications

References 75 publications

Neurocognitive Dysfunctions and Their Therapeutic Modulation in Patients With Methamphetamine Dependence: A Pilot Study

Neurocognitive Dysfunctions and Their Therapeutic Modulation in Patients With Methamphetamine Dependence: A Pilot Study

Aberrant Resting-State Cerebellar-Cerebral Functional Connectivity in Methamphetamine-Dependent Individuals After Six Months Abstinence

Characterization of the brain functional architecture of psychostimulant withdrawal using single-cell whole brain imaging

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