P300 event-related potential in abstinent methamphetamine-dependent patients
Introduction
Amphetamine-type stimulant (ATS) drugs are the second most widely used illicit substances after cannabis [36]. Notably, abuse of methamphetamine (MA), the most common ATS, appears to be increasing rapidly. For example, 798,000 of the 2.098 million drug addicts registered by the national public security system in China are addicted to ATS drugs and other synthetic stimulants, a 35.9% increase compared with the end of 2011 [29]. However, research on the biological basis for MA use disorder is limited.
Drug craving can be considered as the primary characteristic of drug use disorders and the main reason for relapsing to drugs, but the standard method for assessing craving is self-rating measurement. Because self-report assessment is susceptible to subjective factors, improved psycho-physiological and behavioral assessments of craving for MA are crucial targets for diagnosis and evaluation of treatment efficacy for MA-dependent patients. Cue-induced craving has been systematically studied in laboratory settings using the cue reactivity paradigm, and exposure to MA-related cues in the laboratory can give researchers a chance to model how craving would result in continued drug-seeking behaviors and relapse [32]. However, there are a limited number of laboratory-based research studies on MA cue reactivity in human subjects.
A meta-analysis showed that attentional bias for substance-related cues and craving have a mutual excitatory relationship such that increases in one lead to increases in the other. For example, correlations between subjective craving and measures of attentional bias have been found among tobacco smokers [27], alcohol abusers [11], and other illegal drug users [4], [9]. A better understanding of the brain mechanisms and patterns of attentional bias for substance-related cues could contribute to the development of more effective diagnosis and methods of evaluating craving.
The Addiction Stroop, a modification of the classic Stroop procedure, is an objective assessment of attentional bias to salient drug-related stimuli [33]. The basic principle of the classic Stroop paradigm is that the color of words can be named faster and more accurately when the color and the meaning of the words are congruent [35]. Incongruent colorâword conditions result in more errors and longer reaction time [24]. If incongruent word meaning interferes with color naming, then other words for example substance-related words might show a similar interference effect. In the Addiction Stroop procedure, substance-related words and âneutralâ or contrast words are used as stimuli instead of color names, but the task remains the same. A meta-analytic review [6] of over 30 studies using some version of an Addiction Stroop task concluded that Addiction Stroop interference effects, including longer reaction time and higher error rate, are indicative of attentional bias for substance-related cues. This measure has been shown to correlate with drug craving, as well as to successfully distinguish dependent from recreational stimulant users and to help to predict outcomes in treatment-seeking individuals [33].
Event-related potentials (ERPs), which have been elicited using the Addiction Stroop tasks, usually have been used to study the attentional bias for substance-related stimuli and the brain mechanisms associated with craving. One advantage of ERP is its excellent temporal resolution in comparison with imaging techniques [23]. Moreover, the ERP device is easy to conduct and is inexpensive for regular use.
ERP measurements showed characteristic components associated with substance-related cues across different substances. Several ERP components, including P/N100, P300, and Slow Positive Wave (SPW) were thought to be influenced by attentional processes with substance-related cues. Among those components, the late positive ERP component, named P3 or P300, is the most studied and has been found consistently associated with attentional processes. More studies disclosed higher P300 amplitudes elicited by substance-related cues as compared with controls when drug-related cues were used; see for example, studies of smokers [38], [39]; alcohol users [17], [28]; heroin users [13]; cocaine users [12], [37]; and cannabis users [30]. It is generally believed that P300 reflects the mental processes underlying the deployment of attentional resources to task-relevant stimuli. However, we found limited research about effects on attentional bias for substance-related cues among individuals with MA dependence. Furthermore, follow-up studies are needed to examine how attentional bias for substance-related stimuli changes with time.
Numerous studies have used ERP technology in conjunction with the Addiction Stroop task among users of alcohol, nicotine, and cannabis. Researchers have found that there was a relationship between the ERP component elicited by substance-related cues and self-reported craving scores [5], [21], [28]. Confirming such a relationship among MA-dependent patients would indicate a feasible laboratory evaluation of attentional bias for MA-related stimuli, which would be useful as a neurophysiological indicator for the diagnosis and treatment of MA dependence.
With the goal of advancing the understanding of drug-related P300 potentials, which are hypothesized as a correlate of subjective craving in MA-dependent patients, we developed a Chinese language version of an Addiction Stroop task focusing on MA issues (âMA Addiction Stroop Taskâ) and we used high-density ERP techniques to compare patterns of attentional bias to substance-related word cues among MA-dependent patients in comparison with healthy subjects who had never used MA. We hypothesized that: (i) patients would show higher P300 amplitudes elicited by MA-related word cues in the MA Addiction Stroop Task, similar to results from most studies on other drugs and (ii) the trends of P300 amplitudes elicited by MA-related word cues would be associated with the patterns of self-reported subjective craving scores within 6Â months of abstinence after detoxification.
Section snippets
Participants
All participants fulfilled the inclusion criteria of no history of severe mental illness, 18â49Â years of age, junior high school and above, normal vision or corrected vision, no color blindness, and right handedness. The MA users were recruited from among those who came to compulsory rehabilitation centers in Shanghai. We recruited subjects from 2 centers, one for males and the other for females, who also met: the duration from baseline interview to last use of MA was less than 1Â month, meeting
Participant demographics and MA use history
The flowchart of participants is shown in Fig. 2. The study sample consisted of 26 MA-dependent patients (14 male) and 29 control participants who had never used MA (15 male). Table 1 provides the demographic characteristics of the sample. The controls had significantly higher levels of education than the patients. However, there was no significant difference in the mean CogState Z-score between patients and controls, which meant that these two groups were matched on the level of cognitive
Discussion
This study is the first ERP follow-up study to examine relationships between self-report craving scores and performance on an Addiction Stroop task in individuals with MA dependence. This study found that the MA-dependent patients displayed significantly larger P300 amplitudes over left-anterior sites than the healthy controls, which suggested that MA-related words' meaning would interfere with color matching in the Stroop task. Through 6-month follow-up, we also found that the interference
Conclusion
These findings support the association between attentional bias measured by the MA Addiction Stroop Task and drug craving, and also highlight the potential of using this cognitive task combined with ERP technology as an objective index to track changes in craving among abstinent MA-dependent patients.
Acknowledgments
This work was supported by the Shanghai Narcotics Control Fund (grant number: 2012003), National Nature Science Fund of the People's Republic of China (grant numbers: 81271468, 81130020), Shanghai Municipal Health and Family Planning Commission Joint Research project (2014ZYJB0002), Shanghai Key Laboratory of Severe Mental Illness (13dz2260500), Shanghai Health Bureau (grant numbers: 20114Y097, XBR2011015), Ministry of Science and Technology of the People's Republic of China project (
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