Neural Correlates of Craving in Methamphetamine Abuse

Shahmohammadi, Fanak; Golesorkhi, Mehrshad; Kashani, Mohammad Mansour Riahi; Sangi, Mehrdad; Yoonessi, Ahmad; Yoonessi, Ali

doi:10.15412/j.bcn.03070307

Cited by 10 publications

(12 citation statements)

References 29 publications

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“…In methamphetamine consumers, increased P3 amplitudes to drug-related pictures (Shahmohammadi et al 2016) and words (Haifeng et al 2015) have been detected at the beginning of a therapy. With increasing duration of abstinence, P3 amplitudes normalised suggesting treatment success.…”

Section: P3mentioning

confidence: 99%

Biomarkers and neuromodulation techniques in substance use disorders

et al. 2020

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Addictive disorders are a severe health concern. Conventional therapies have just moderate success and the probability of relapse after treatment remains high. Brain stimulation techniques, such as transcranial Direct Current Stimulation (tDCS) and Deep Brain Stimulation (DBS), have been shown to be effective in reducing subjectively rated substance craving. However, there are few objective and measurable parameters that reflect neural mechanisms of addictive disorders and relapse. Key electrophysiological features that characterize substance related changes in neural processing are Event-Related Potentials (ERP). These high temporal resolution measurements of brain activity are able to identify neurocognitive correlates of addictive behaviours. Moreover, ERP have shown utility as biomarkers to predict treatment outcome and relapse probability. A future direction for the treatment of addiction might include neural interfaces able to detect addiction-related neurophysiological parameters and deploy neuromodulation adapted to the identified pathological features in a closed-loop fashion. Such systems may go beyond electrical recording and stimulation to employ sensing and neuromodulation in the pharmacological domain as well as advanced signal analysis and machine learning algorithms. In this review, we describe the state-of-the-art in the treatment of addictive disorders with electrical brain stimulation and its effect on addiction-related neurophysiological markers. We discuss advanced signal processing approaches and multi-modal neural interfaces as building blocks in future bioelectronics systems for treatment of addictive disorders.

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Section: P3mentioning

confidence: 99%

Biomarkers and neuromodulation techniques in substance use disorders

et al. 2020

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“…Blood-oxygen-level dependent measures of methamphetamine cue reactivity revealed activation of a broad set of regions, particularly the mesocorticolimbic system which includes the ventral and dorsal striatum, the cingulate cortex, prefrontal cortex (PFC) and insula [ 29 , 30 , 31 , 32 , 33 , 34 , 35 ]. Two studies looked at EEG recordings: one study utilized event-related potential (ERP) technique and found higher neural responses to drug-related visual stimuli among users compared to controls in the P300 components [ 36 ], while the other study measured gamma current density and found gamma activity in medial prefrontal cortex (mPFC)/orbitofrontal cortex (OFC) and right dorsolateral prefrontal cortex (DLPFC) to decrease after cue exposure [ 27 ].…”

Section: Resultsmentioning

confidence: 99%

A Scoping Review on Cue Reactivity in Methamphetamine Use Disorder

Seow

Ong

Hombali

et al. 2020

IJERPH

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The experience of craving via exposure to drug-related cues often leads to relapse in drug users. This study consolidated existing empirical evidences of cue reactivity to methamphetamine to provide an overview of current literature and to inform the directions for future research. The best practice methodological framework for conducting scoping review by Arkey and O’Malley was adopted. Studies that have used a cue paradigm or reported on cue reactivity in persons with a history of methamphetamine use were included. Databases such as Medline, EMBASE, PsycINFO and CINAHL were searched using key terms, in addition to citation check and hand search. The search resulted in a total of 32 original research articles published between 2006 to 2020. Three main themes with regard to cue reactivity were identified and synthesized: (1) effects of cue exposure, (2) individual factors associated with cue reactivity, and (3) strategies that modulate craving or reactivity to cues. Exposure to methamphetamine-associated cues elicits significant craving and other autonomic reactivity. Evidence suggests that drug cue reactivity is strongly associated with indices of drug use and other individual-specific factors. Future studies should focus on high quality studies to support evidence-based interventions for reducing cue reactivity and to examine cue reactivity as an outcome measure.

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“…A total of 15 images related to methamphetamine were selected from images that were validated in previous studies ( Ekhtiari, Alam-Mehrjerdi, Nouri, George, & Mokri, 2010 ; Shahmohammadi et al, 2016 ). Each cue image was paired with a neutral image, and each pair was matched in semantic content and resolution as closely as possible.…”

Section: Methodsmentioning

confidence: 99%

Direct and Indirect Measures of Attention Indicating a Bias Toward Cues in Methamphetamine Users

Mirtorabi

Saleki

Rahmanian

et al. 2022

BCN

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Introduction:This study aims to investigate the attentional bias toward drug-related stimuli along with subjective craving after encountering such stimuli in methamphetamine users. Studies of cue reactivity have confirmed bias in attention and gaze to drug-related stimuli for most substances, but methamphetamine drugs are less studied by a direct measure such as eye tracking. Methods:Thirty male subjects in the case group (methamphetamine-users) and 36 subjects in control group (no prior drug use) participated in this study. Eye movement data were collected while subjects viewed pairs of drug-related and non-drug images in a dot-probe paradigm. Craving was assessed via a self-report questionnaire on the scale of 0 to 10 before and after the psychophysical task. Results:Analysis of eye-movement data showed meaningful gaze bias toward cue images (drug-related) for the case group. Additionally, the gaze duration on cue-images was significantly higher in the case group, while the opposite held true for the control group. The same effect was observed in the analysis of the dot probe task, that is, the mean reaction time to a probe which replaced a cue-image was significantly lower. The mean of the first-fixation measure in control group was not significantly better than chance but the percentage of first-fixation on cue images in the drug-users was meaningfully biased. Reported craving was reported as significantly greater after performing the task compared to before. Conclusion:Altogether, our results indicate an attentional bias toward drug-related cues in methamphetamine users as well as subjective craving after encountering such cues.

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Neural Correlates of Craving in Methamphetamine Abuse

Cited by 10 publications

References 29 publications

Biomarkers and neuromodulation techniques in substance use disorders

Biomarkers and neuromodulation techniques in substance use disorders

A Scoping Review on Cue Reactivity in Methamphetamine Use Disorder

Direct and Indirect Measures of Attention Indicating a Bias Toward Cues in Methamphetamine Users

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