title: Individual differences in attentional bias associated with cocaine dependence are related to varying engagement of neural processing networks.
abstract: 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.
authors.affiliation: Brain Imaging Research Center, Psychiatric Research Institute, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
authors.forename: Clint D
authors.initials: CD
authors.lastname: Kilts
authors.affiliation: Brain Imaging Research Center, Psychiatric Research Institute, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
authors.forename: Ashley
authors.initials: A
authors.lastname: Kennedy
authors.affiliation: Brain Imaging Research Center, Psychiatric Research Institute, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
authors.forename: Amanda L
authors.initials: AL
authors.lastname: Elton
authors.affiliation: Brain Imaging Research Center, Psychiatric Research Institute, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
authors.forename: Shanti Prakash
authors.initials: SP
authors.lastname: Tripathi
authors.affiliation: Brain Imaging Research Center, Psychiatric Research Institute, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Young
authors.affiliation: Brain Imaging Research Center, Psychiatric Research Institute, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
authors.forename: Josh M
authors.initials: JM
authors.lastname: Cisler
authors.affiliation: Brain Imaging Research Center, Psychiatric Research Institute, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
authors.forename: G Andrew
authors.initials: GA
authors.lastname: James
mesh_terms: D000328:Adult; D001288:Attention / Q000502:physiology*; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping / Q000379:methods; D019970:Cocaine-Related Disorders / Q000503:physiopathology* / Q000523:psychology*; D004644:Emotions / Q000502:physiology; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007206:Individuality; D008279:Magnetic Resonance Imaging; D008297:Male; D015999:Multivariate Analysis; D009434:Neural Pathways / Q000503:physiopathology; D011930:Reaction Time; D057190:Stroop Test; D013647:Task Performance and Analysis