Merideth A. Addicott
Duke University
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Featured researches published by Merideth A. Addicott.
Human Brain Mapping | 2009
Merideth A. Addicott; Lucie L. Yang; Ann M. Peiffer; Luke R. Burnett; Jonathan H. Burdette; Michael Y. Chen; Satoru Hayasaka; Robert A. Kraft; Joseph A. Maldjian; Paul J. Laurienti
Caffeine is a commonly used neurostimulant that also produces cerebral vasoconstriction by antagonizing adenosine receptors. Chronic caffeine use results in an adaptation of the vascular adenosine receptor system presumably to compensate for the vasoconstrictive effects of caffeine. We investigated the effects of caffeine on cerebral blood flow (CBF) in increasing levels of chronic caffeine use. Low (mean = 45 mg/day), moderate (mean = 405 mg/day), and high (mean = 950 mg/day) caffeine users underwent quantitative perfusion magnetic resonance imaging on four separate occasions: twice in a caffeine abstinent state (abstained state) and twice in a caffeinated state following their normal caffeine use (native state). In each state, there were two drug conditions: participants received either caffeine (250 mg) or placebo. Gray matter CBF was tested with repeated‐measures analysis of variance using caffeine use as a between‐subjects factor, and correlational analyses were conducted between CBF and caffeine use. Caffeine reduced CBF by an average of 27% across both caffeine states. In the abstained placebo condition, moderate and high users had similarly greater CBF than low users; but in the native placebo condition, the high users had a trend towards less CBF than the low and moderate users. Our results suggest a limited ability of the cerebrovascular adenosine system to compensate for high amounts of daily caffeine use. Hum Brain Mapp 2009.
Neuropsychopharmacology | 2015
Merideth A. Addicott; Maggie M. Sweitzer; Brett Froeliger; Jed E. Rose; Francis Joseph McClernon
Little is known regarding the underlying neurobiology of smoking cessation. Neuroimaging studies indicate a role for the insula in connecting the interoceptive awareness of tobacco craving with a larger brain network that motivates smoking. We investigated differences in insula-based functional connectivity between smokers who did not relapse during a quit attempt vs those who relapsed. Smokers (n=85) underwent a resting-state functional connectivity scan and were then randomized into two groups (either smoking usual brand cigarettes or smoking very low nicotine cigarettes plus nicotine replacement therapy) for 30 days before their target quit date. Following the quit date, all participants received nicotine replacement therapy and their smoking behavior was observed for 10 weeks. Participants were subsequently classified as nonrelapsed (n=44) or relapsed (i.e., seven consecutive days of smoking ⩾1 cigarette/day; n=41). The right and left insula, as well as insula subdivisions (posterior, ventroanterior, and dorsoanterior) were used as seed regions of interest in the connectivity analysis. Using the right and left whole-insula seed regions, the nonrelapsed group had greater functional connectivity than the relapsed group with the bilateral pre- and postcentral gyri. This effect was isolated to the right and left posterior insula seed regions. Our results suggest that relapse vulnerability is associated with weaker connectivity between the posterior insula and primary sensorimotor cortices. Perhaps greater connectivity in this network improves the ability to inhibit a motor response to cigarette cravings when those cravings conflict with a goal to remain abstinent. These results are consistent with recent studies demonstrating a positive relationship between insula-related functional connectivity and cessation likelihood among neurologically intact smokers.
Psychiatry Research-neuroimaging | 2013
Brett Froeliger; Leslie A. Modlin; Rachel V. Kozink; Lihong Wang; Eric L. Garland; Merideth A. Addicott; F. Joseph McClernon
Smoking withdrawal-induced disruption of affect and cognition is associated with dysregulated prefrontal brain function, although little is known regarding the neural foci of smoker-nonsmoker differences during affective cognition. Thus, the current study used functional magnetic resonance imaging (fMRI) to identify smoker-nonsmoker differences in affective cognition. Thirty-four healthy volunteers (17 smokers, 17 nonsmokers) underwent fMRI during an affective Stroop task (aST). The aST includes emotional cue-reactivity trials, and response selection trials that contain either neutral or negative emotional distractors. Smokers had less activation during negative cue-reactivity trials in regions subserving emotional awareness (i.e., posterior cingulate), inhibitory control (i.e., inferior frontal gyrus) and conflict resolution (i.e., anterior cingulate); during response-selection trials with negative emotional distractors, smokers had greater activation in a frontoparietal attentional network (i.e., middle frontal and supramarginal gyri). Exploratory analyses revealed that task accuracy was positively correlated with anterior cingulate cortex and inferior frontal gyrus response on fMRI. These findings suggests that chronic nicotine use may reduce inhibitory control and conflict resolution of emotional distraction, and result in recruiting additional attentional resources during emotional interference on cognition.
Neuropsychopharmacology | 2016
Maggie M. Sweitzer; Charles F. Geier; Merideth A. Addicott; Rachel L. Denlinger; Bethany R. Raiff; Jesse Dallery; F. Joseph McClernon; Eric C. Donny
The ventral and dorsal striatum are critical substrates of reward processing and motivation and have been repeatedly linked to addictive disorders, including nicotine dependence. However, little is known about how functional connectivity between these and other brain regions is modulated by smoking withdrawal and may contribute to relapse vulnerability. In the present study, 37 smokers completed resting state fMRI scans during both satiated and 24-h abstinent conditions, prior to engaging in a 3-week quit attempt supported by contingency management. We examined the effects of abstinence condition and smoking outcome (lapse vs non-lapse) on whole-brain connectivity with ventral and dorsal striatum seed regions. Results indicated a significant condition by lapse outcome interaction for both right and left ventral striatum seeds. Robust abstinence-induced increases in connectivity with bilateral ventral striatum were observed across a network of regions implicated in addictive disorders, including insula, superior temporal gyrus, and anterior/mid-cingulate cortex among non-lapsers; the opposite pattern was observed for those who later lapsed. For dorsal striatum seeds, 24-h abstinence decreased connectivity across both groups with several regions, including medial prefrontal cortex, posterior cingulate cortex, hippocampus, and supplemental motor area. These findings suggest that modulation of striatal connectivity with the cingulo-insular network during early withdrawal may be associated with smoking cessation outcomes.
Neuropsychopharmacology | 2014
Merideth A. Addicott; Brett Froeliger; Rachel V. Kozink; Dana M. Van Wert; Eric C. Westman; Jed E. Rose; Francis Joseph McClernon
Smoking cessation results in withdrawal symptoms such as craving and negative mood that may contribute to lapse and relapse. Little is known regarding whether these symptoms are associated with the nicotine or non-nicotine components of cigarette smoke. Using arterial spin labeling, we measured resting-state cerebral blood flow (CBF) in 29 adult smokers across four conditions: (1) nicotine patch+denicotinized cigarette smoking, (2) nicotine patch+abstinence from smoking, (3) placebo patch+denicotinized cigarette smoking, and (4) placebo patch+abstinence from smoking. We found that changes in self-reported craving positively correlated with changes in CBF from the denicotinized cigarette smoking conditions to the abstinent conditions. These correlations were found in several regions throughout the brain. Self-reported craving also increased from the nicotine to the placebo conditions, but had a minimal relationship with changes in CBF. The results of this study suggest that the non-nicotine components of cigarette smoke significantly impact withdrawal symptoms and associated brain areas, independently of the effects of nicotine. As such, the effects of non-nicotine factors are important to consider in the design and development of smoking cessation interventions and tobacco regulation.
Addiction Biology | 2016
Francis Joseph McClernon; Brett Froeliger; Jed E. Rose; Rachel V. Kozink; Merideth A. Addicott; Maggie M. Sweitzer; Eric C. Westman; Dana M. Van Wert
Smoking abstinence impairs executive function, which may promote continued smoking behavior and relapse. The differential influence of nicotine and non‐nicotine (i.e. sensory, motor) smoking factors and related neural substrates is not known. In a fully factorial, within‐subjects design, 33 smokers underwent fMRI scanning following 24 hours of wearing a nicotine or placebo patch while smoking very low nicotine content cigarettes or remaining abstinent from smoking. During scanning, blood oxygenation level‐dependent (BOLD) signal was acquired while participants performed a verbal N‐back task. Following 24‐hour placebo (versus nicotine) administration, accuracy on the N‐back task was significantly worse and task‐related BOLD signal lower in dorsomedial frontal cortex. These effects were observed irrespective of smoking. Our data provide novel evidence that abstinence‐induced deficits in working memory and changes in underlying brain function are due in large part to abstinence from nicotine compared with non‐nicotine factors. This work has implications both for designing interventions that target abstinence‐induced cognitive deficits and for nicotine‐reduction policy.
Current topics in behavioral neurosciences | 2015
F. Joseph McClernon; Merideth A. Addicott; Maggie M. Sweitzer
In this chapter, we review the last decade of research on the effects of smoking abstinence on various forms of neurocognition, including executive function (working memory, sustained attention, response inhibition), reward processing, and cue-reactivity. In our review we identify smoking abstinence-induced deficits in executive function mediated by effects on frontal circuitry, which in turn is known to be affected by modulation of cholinergic, dopaminergic, and other neurotransmitter systems. We also review evidence that smoking abstinence blunts reactivity to non-drug reinforcers-a finding that is consistent with results in the animal literature. Finally, our review of cue-reactivity indicates that smoking abstinence does not appear to amplify cue-provoked craving, although it may increase attentional bias to smoking-related cues. Inconsistencies across findings and potential contributing factors are discussed. In addition, we review the literature on the effects of nicotine and non-nicotine factors in neurocognition. Finally, we provide a multi-factor model and an agenda for future research on the effects of smoking abstinence on neurocognition. The model includes four distinct yet interacting factors, including: Negative Reinforcement, Drug-Reward Bias, Goal and Skill Interference, and Non-Cognitive Factors. Additional research is needed to further evaluate the scope and time-course of abstinence-induced changes in neurocognition, the mechanisms that underlie these changes and the specific role of these processes in drug reinforcement, lapse, and relapse.
Current Addiction Reports | 2014
Merideth A. Addicott
The latest edition of the Diagnostic and Statistical Manual of Mental Disorders (5th edition; DSM-5) has introduced new provisions for caffeine-related disorders. Caffeine withdrawal is now an officially recognized diagnosis, and criteria for caffeine use disorder have been proposed for additional study. Caffeine use disorder is intended to be characterized by cognitive, behavioral, and physiological symptoms indicative of caffeine use despite significant caffeine-related problems, similar to other substance use disorders. However, since non-problematic caffeine use is so common and widespread, it may be difficult for some health professionals to accept that caffeine use can result in the same types of pathological behaviors caused by alcohol, cocaine, opiates, or other drugs of abuse. Yet there is evidence that some individuals are psychologically and physiologically dependent on caffeine, although the prevalence and severity of these problems is unknown. This article reviews the recent changes to the DSM, the concerns regarding these changes, and some potential impacts these changes could have on caffeine consumers.
Neuropsychopharmacology | 2016
F. Joseph McClernon; Cynthia A. Conklin; Rachel V. Kozink; R. Alison Adcock; Maggie M. Sweitzer; Merideth A. Addicott; Ying-hui Chou; Nan-kuei Chen; Matthew Hallyburton; Anthony M DeVito
Environments associated with prior drug use provoke craving and drug taking, and set the stage for lapse/relapse. Although the neurobehavioral bases of environment-induced drug taking have been investigated with animal models, the influence of drug–environments on brain function and behavior in clinical populations of substance users is largely unexplored. Adult smokers (n=40) photographed locations personally associated with smoking (personal smoking environments; PSEs) or personal nonsmoking environment (PNEs). Following 24-h abstinence, participants underwent fMRI scanning while viewing PSEs, PNEs, standard smoking and nonsmoking environments, as well as proximal smoking (eg, lit cigarette) and nonsmoking (eg, pencil) cues. Finally, in two separate sessions following 6-h abstinence they viewed either PSEs or PNEs while cue-induced self-reported craving and smoking behavior were assessed. Viewing PSEs increased blood oxygen level-dependent signal in right posterior hippocampus (pHPC; F2,685=3.74, p<0.024) and bilateral insula (left: F2,685=6.87, p=0.0011; right: F2,685=5.34, p=0.005). In the laboratory, viewing PSEs, compared with PNEs, was associated with higher craving levels (F2,180=18.32, p<0.0001) and greater ad lib smoking (F1,36=5.01, p=0.032). The effect of PSEs (minus PNEs) on brain activation in right insula was positively correlated with the effect of PSEs (minus PNEs) on number of puffs taken from a cigarette (r=0.6, p=0.001). Our data, for the first time in humans, elucidates the neural mechanisms that mediate the effects of real-world drug-associated environments on drug taking behavior under conditions of drug abstinence. These findings establish targets for the development and evaluation of treatments seeking to reduce environment provoked relapse.
Experimental and Clinical Psychopharmacology | 2013
Merideth A. Addicott; John M. Pearson; Jessica Wilson; Michael L. Platt; F. Joseph McClernon
Advantageous decision-making is an adaptive trade-off between exploring alternatives and exploiting the most rewarding option. This trade-off may be related to maladaptive decision-making associated with nicotine dependence; however, explore/exploit behavior has not been previously investigated in the context of addiction. The explore/exploit trade-off is captured by the multiarmed bandit task, in which different arms of a slot machine are chosen to discover the relative payoffs. The goal of this study was to preliminarily investigate whether smokers differ from nonsmokers in their degree of exploratory behavior. Smokers (n = 18) and nonsmokers (n = 17) completed a 6-armed bandit task as well as self-report measures of behavior and personality traits. Smokers were found to exhibit less exploratory behavior (i.e., made fewer switches between slot machine arms) than nonsmokers within the first 300 trials of the bandit task. The overall proportion of exploratory choices negatively correlated with self-reported measures of delay aversion and nonplanning impulsivity. These preliminary results suggest that smokers make fewer initial exploratory choices on the bandit task. The bandit task is a promising measure that could provide valuable insights into how nicotine use and dependence is associated with explore/exploit decision-making.
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University of Texas Health Science Center at San Antonio
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