Internal reliability of measures of substance-related cognitive bias

Ataya, Alia F.; Adams, Sally; Mullings, Emma; Cooper, Robbie M.; Attwood, Angela; Munafò, Marcus R.

doi:10.1016/j.drugalcdep.2011.08.023

Cited by 181 publications

(192 citation statements)

References 12 publications

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“…Both of these tasks are characterised by unacceptably low internal reliability, particularly the visual probe task for which internal reliability may be close to zero (Ataya et al, 2012). Although there is debate about the reliability of both measures-it is undoubtedly poor, but may not be bad as Ataya et al have suggested based on a re-analysis of only their own data (see )-this issue is important for understanding the predictive validity of the tasks, and we return to it later in the paper.…”

Section: Measurement Issues and Literature Search Strategymentioning

confidence: 99%

Less than meets the eye: Reappraising the clinical relevance of attentional bias in addiction

Christiansen

Schoenmakers

Field

2015

Addictive Behaviors

179

151

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Recent years have seen an explosion of interest in attentional bias in addiction, particularly its clinical relevance. Specifically, numerous articles claimed to demonstrate either that (1) attentional bias measured in treatment settings could predict subsequent relapse to substance use, or (2) direct modification of attentional bias reduced substance use and improved treatment outcomes. In this paper, we critically evaluate empirical studies that investigated these issues. We show that the evidence regarding both of these claims is decidedly mixed, and that many of the studies that appear to yield positive findings have serious methodological and statistical limitations. We contend that the available literature suggests that attentional bias for drug cues fluctuates within individuals because it is an output of the underlying motivational state at that moment in time, but there is no convincing evidence that it exerts a causal influence on substance use. Future research should make use of experience sampling methodology to characterise the clinical significance of fluctuations in attentional bias over time.

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Section: Measurement Issues and Literature Search Strategymentioning

confidence: 99%

Less than meets the eye: Reappraising the clinical relevance of attentional bias in addiction

Christiansen

Schoenmakers

Field

2015

Addictive Behaviors

179

151

View full text Add to dashboard Cite

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“…Using Mplus Version 7.2 (Muthen and Muthen, 2010), we conducted latent growth curve modeling using full informational maximum likelihood to determine the suitability of the cognitive bias measures (given reliability issues in this sample and prior research, see Ataya et al, 2012) and to examine the functional form of cognitive bias and alcohol use trajectories. These analyses followed a 2-step process (Bollen and Curran, 2006).…”

Section: Analysis Strategymentioning

confidence: 99%

Investigating the Joint Development of Approach Bias and Adolescent Alcohol Use

Janssen

Wood

Larsen

et al. 2015

Alcoholism Clin & Exp Res

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While we observed evidence of association between approach bias and alcohol use at baseline, there was no evidence of relations between development trajectories of the two. These findings replicate prior research demonstrating a role of implicit approach bias in predicting early adolescent alcohol use but do not demonstrate, in a light drinking early adolescent sample, the importance of interrelations between changes in approach bias and alcohol use over time, or a moderating role of WM. It is important to consider the potential consequences of repeated online approach bias assessment (e.g., changes in stimulus valence) when interpreting these results.

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“…Based on these outcomes, attentional bias for drug-related stimuli has been proposed to represent a cognitive marker of drug addiction, although it remains unclear as to whether attentional bias represents a trait or state marker (Ataya et al, 2012). Moreover, although little discussed, the magnitude of attentional bias exhibits marked individual variability with drug stimuli responses varying between large positive attentional bias to negative attentional bias in which the reaction time to drug-neutral trials exceeds that of drug stimulus trials (Carpenter et al, 2012;Janes et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Individual Differences in Attentional Bias Associated with Cocaine Dependence Are Related to Varying Engagement of Neural Processing Networks

Kilts

Kennedy

Elton

et al. 2013

Neuropsychopharmacol

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Cocaine and other drug dependencies are associated with significant attentional bias for drug use stimuli that represents a candidate cognitive marker of drug dependence and treatment outcomes. We explored, using fMRI, the role of discrete neural processing networks in the representation of individual differences in the drug attentional bias effect associated with cocaine dependence (AB-coc) using a word counting Stroop task with personalized cocaine use stimuli (cocStroop). The cocStroop behavioral and neural responses were further compared with those associated with a negative emotional word Stroop task (eStroop) and a neutral word counting Stroop task (cStroop). Brain-behavior correlations were explored using both network-level correlation analysis following independent component analysis (ICA) and voxel-level, brain-wide univariate correlation analysis. Variation in the attentional bias effect for cocaine use stimuli among cocaine-dependent men and women was related to the recruitment of two separate neural processing networks related to stimulus attention and salience attribution (inferior frontal-parietal-ventral insula), and the processing of the negative affective properties of cocaine stimuli (frontal-temporal-cingulate). Recruitment of a sensory-motor-dorsal insula network was negatively correlated with AB-coc and suggested a regulatory role related to the sensorimotor processing of cocaine stimuli. The attentional bias effect for cocaine stimuli and for negative affective word stimuli were significantly correlated across individuals, and both were correlated with the activity of the frontal-temporal-cingulate network. Functional connectivity for a single prefrontal-striatal-occipital network correlated with variation in general cognitive control (cStroop) that was unrelated to behavioral or neural network correlates of cocStroop-or eStroop-related attentional bias. A brain-wide mass univariate analysis demonstrated the significant correlation of individual attentional bias effect for cocaine stimuli with distributed activations in the frontal, occipitotemporal, parietal, cingulate, and premotor cortex. These findings support the involvement of multiple processes and brain networks in mediating individual differences in risk for relapse associated with drug dependence.

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Internal reliability of measures of substance-related cognitive bias

Cited by 181 publications

References 12 publications

Less than meets the eye: Reappraising the clinical relevance of attentional bias in addiction

Less than meets the eye: Reappraising the clinical relevance of attentional bias in addiction

Investigating the Joint Development of Approach Bias and Adolescent Alcohol Use

Individual Differences in Attentional Bias Associated with Cocaine Dependence Are Related to Varying Engagement of Neural Processing Networks

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