Beyond Functional Localization

Liang, Xia; Yang, Yihong; Stein, Elliot A.

doi:10.1002/9781118472415.ch20

Cited by 6 publications

(3 citation statements)

References 162 publications

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“…For example, stroke damage to the PCC can result in the complete disruption of cigarette smoking [83]. We and others have suggested that the functional interactions between the PCC and other DMN regions may contribute to ruminations about substance use which could, in turn, perpetuate the addiction cycle [76, 84–87]. Taken together, drug-cues, more so than other appetitive cues, appear to engage the PCC which influences internally-directed processes such as value-based decision-making that may contribute to a strong motivational drive to obtain and take drugs.…”

Section: Discussionmentioning

confidence: 99%

The cue-reactivity paradigm: An ensemble of networks driving attention and cognition when viewing drug and natural reward-related stimuli

Hill-Bowen

Riedel

Poudel

et al. 2020

Preprint

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Drug and natural cue-reactivityHill-Bowen et al. ABSTRACTBackground: The cue-reactivity paradigm is a widely adopted neuroimaging probe assessing brain activity linked to attention, memory, emotion, and reward processing associated with the presentation of appetitive stimuli. Lacking, is the apperception of more precise brain regions, neurocircuits, and mental operations comprising cue-reactivity's multi-elemental nature. To resolve such complexities, we employed emergent meta-analytic techniques to enhance insight into drug and natural cue-reactivity in the brain.Methods: Operating from this perspective, we first conducted multiple coordinate-based metaanalyses to define common and distinct brain regions showing convergent activation across studies involving drug-related and natural-reward cue-reactivity paradigms. In addition, we examined the activation profiles of each convergent brain region linked to cue-reactivity as seeds in taskdependent and task-independent functional connectivity analyses. Using methods to cluster regions of interest, we categorized cue-reactivity into cliques, or sub-networks, based on the functional similarities between regions. Cliques were further classified with psychological constructs.Results: We identified a total of 164 peer-reviewed articles: 108 drug-related, and 56 naturalreward. When considering cue-reactivity collectively, across both drug and natural studies, activity convergence was observed in the dorsal striatum, limbic, insula, parietal, occipital, and temporal regions. Common convergent neural activity between drug and natural cue-reactivity was observed in the caudate, amygdala, thalamus, cingulate, and temporal regions. Drug distinct convergence was observed in the putamen, cingulate, and temporal regions, while natural distinct convergence was observed in the caudate, parietal, occipital, and frontal regions. We seeded identified cuereactivity regions in meta-analytic connectivity modeling and resting-state functional connectivity analyses. Consensus hierarchical clustering of both connectivity analyses identified six distinct cliques that were further functionally characterized using the BrainMap and Neurosynth databases.Conclusions: We examined the multifaceted nature of cue-reactivity and decomposed this construct into six elements of visual, executive function, sensorimotor, salience, emotion, and selfreferential processing. Further, we demonstrated that these elements are supported by perceptual, sensorimotor, tripartite, and affective networks, which are essential to understanding the neural mechanisms involved in the development and or maintenance of addictive disorders.

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Section: Discussionmentioning

confidence: 99%

The cue-reactivity paradigm: An ensemble of networks driving attention and cognition when viewing drug and natural reward-related stimuli

Hill-Bowen

Riedel

Poudel

et al. 2020

Preprint

Self Cite

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“…A major cause of relapse is the tobacco abstinence syndrome, characterized by deficits in cognitive, affective, and reward processing . Like other drugs of abuse, nicotine engages the mesocorticolimbic (MCL) system, which consists primarily of striatal and prefrontal brain areas targeted by midbrain dopamine (DA) neurons . Nicotine indirectly stimulates DA neurons through agonist effects on nicotinic acetylcholine receptors (nAChRs) .…”

Section: Introductionmentioning

confidence: 99%

“…[2][3][4][5][6] Like other drugs of abuse, nicotine engages the mesocorticolimbic (MCL) system, which consists primarily of striatal and prefrontal brain areas targeted by midbrain dopamine (DA) neurons. 7,8 Nicotine indirectly stimulates DA neurons through agonist effects on nicotinic acetylcholine receptors (nAChRs). [9][10][11][12][13] During the development of nicotine dependence, neuroplastic changes occur throughout the MCL circuitry to downregulate levels of DA; drug administration becomes necessary to reach a baseline state, while drug abstinence leads to a hypodopaminergic withdrawal state.…”

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confidence: 99%

Neural Signatures of Cognitive Flexibility and Reward Sensitivity Following Nicotinic Receptor Stimulation in Dependent Smokers

et al. 2017

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Neurobiological Impact of Nicotinic Acetylcholine Receptor Agonists: An Activation Likelihood Estimation Meta-Analysis of Pharmacologic Neuroimaging Studies

Sutherland

Ray

Riedel

et al. 2015

Biological Psychiatry

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Background Nicotinic acetylcholine receptor (nAChR) agonists augment cognition among cigarette smokers and nonsmokers, yet the systems-level neurobiological mechanisms underlying such improvements are not fully understood. Aggregating neuroimaging results regarding nAChR agonists provides a means to identify common functional brain changes that may be related to pro-cognitive drug effects. Methods We conducted a meta-analysis of pharmacological neuroimaging studies within the activation likelihood estimation framework. We identified published studies contrasting a nAChR drug condition versus a baseline and coded each contrast by activity change direction (decrease or increase), participant characteristics (smokers or nonsmokers), and drug manipulation employed (pharmacological administration or cigarette smoking). Results When considering all studies, nAChR agonist administration was associated with activity decreases in multiple regions, including the ventromedial prefrontal cortex (vmPFC), posterior cingulate cortex (PCC), parahippocampus, insula, and the parietal and precentral cortices. Conversely, activity increases were observed in lateral frontoparietal cortices, the anterior cingulate cortex (ACC), thalamus, and cuneus. Exploratory analyses indicated that both smokers and nonsmokers showed activity decreases in the vmPFC and PCC, and increases in lateral frontoparietal regions. Among smokers, both pharmacological administration and cigarette smoking were associated with activity decreases in the vmPFC, PCC, and insula, and increases in the lateral PFC, dorsal ACC, thalamus, and cuneus. Conclusions These results provide support for the systems-level perspective that nAChR agonists suppress activity in default-mode network regions and enhance activity in executive control network regions in addition to reducing activation of some task-related regions. We speculate these are potential mechanisms by which nAChR agonists enhance cognition.

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Beyond Functional Localization

Cited by 6 publications

References 162 publications

The cue-reactivity paradigm: An ensemble of networks driving attention and cognition when viewing drug and natural reward-related stimuli

The cue-reactivity paradigm: An ensemble of networks driving attention and cognition when viewing drug and natural reward-related stimuli

Neural Signatures of Cognitive Flexibility and Reward Sensitivity Following Nicotinic Receptor Stimulation in Dependent Smokers

Neurobiological Impact of Nicotinic Acetylcholine Receptor Agonists: An Activation Likelihood Estimation Meta-Analysis of Pharmacologic Neuroimaging Studies

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