scholarly journals Association Between Nicotine Dependence Severity, BOLD Response to Smoking Cues, and Functional Connectivity

2013 ◽  
Vol 38 (12) ◽  
pp. 2363-2372 ◽  
Author(s):  
Eric D Claus ◽  
Sara K Blaine ◽  
Francesca M Filbey ◽  
Andrew R Mayer ◽  
Kent E Hutchison
2007 ◽  
Author(s):  
Francis J. McClernon ◽  
Rachel V. Kozink ◽  
Jed E. Rose

2019 ◽  
Vol 130 (7) ◽  
pp. e45
Author(s):  
Alina Tetereva ◽  
Kirill Efimov ◽  
Sergey Kartashov ◽  
Alexey Ivanitsky ◽  
Olga Martynova

2020 ◽  
Author(s):  
Amelie Haugg ◽  
Andrei Manoliu ◽  
Ronald Sladky ◽  
Lea M Hulka ◽  
Matthias Kirschner ◽  
...  

Tobacco smoking is one of the leading causes of preventable death and disease worldwide. Most smokers want to quit, but relapse rates are high. To improve current smoking cessation treatments, a better understanding of the underlying mechanisms of nicotine dependence and related craving behavior is needed. Studies on cue-driven cigarette craving have been a particularly useful tool for investigating the neural mechanisms of drug craving. Here, functional neuroimaging studies in humans have identified a core network of craving-related brain responses to smoking cues that comprises of amygdala, anterior cingulate cortex, orbitofrontal cortex, posterior cingulate cortex, and ventral striatum. However, most functional Magnetic Resonance Imaging (fMRI) cue-reactivity studies do not adjust their stimuli for emotional valence, a factor assumed to confound craving-driven brain responses to smoking cues. Here, we investigated the influence of emotional valence on key addiction brain areas by disentangling craving- and valence-related brain responses with parametric modulators in 32 smokers. For one of the suggested key regions for addiction, the amygdala, we observed significantly stronger brain responses to the valence aspect of the presented images than to the craving aspect. Our results emphasize the need for carefully selecting stimulus material for cue-reactivity paradigms, in particular with respect to emotional valence. Further, they can help designing future research on teasing apart the diverse psychological dimensions that comprise nicotine dependence, and, therefore, can lead to a more precise mapping of craving-associated brain areas, an important step towards more tailored smoking cessation treatments.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
David B. Parker ◽  
Qolamreza R. Razlighi

Abstract The topography of the default mode network (DMN) can be obtained with one of two different functional magnetic resonance imaging (fMRI) methods: either from the spontaneous but organized synchrony of the low-frequency fluctuations in resting-state fMRI (rs-fMRI), known as “functional connectivity”, or from the consistent and robust deactivations in task-based fMRI (tb-fMRI), here referred to as the “negative BOLD response” (NBR). These two methods are fundamentally different, but their results are often used interchangeably to describe the brain’s resting-state, baseline, or intrinsic activity. While the DMN was initially defined by consistent task-based decreases in blood flow in a set of specific brain regions using PET imaging, recently nearly all studies on the DMN employ functional connectivity in rs-fMRI. In this study, we first show the high level of spatial overlap between NBR and functional connectivity of the DMN extracted from the same tb-fMRI scan; then, we demonstrate that the NBR in putative DMN regions can be significantly altered without causing any change in their overlapping functional connectivity. Furthermore, we present evidence that in the DMN, the NBR is more closely related to task performance than the functional connectivity. We conclude that the NBR and functional connectivity of the DMN reflect two separate but overlapping neurophysiological processes, and thus should be differentiated in studies investigating brain-behavior relationships in both healthy and diseased populations. Our findings further raise the possibility that the macro-scale networks of the human brain might internally exhibit a hierarchical functional architecture.


1996 ◽  
Vol 21 (2) ◽  
pp. 139-154 ◽  
Author(s):  
Thomas J. Payne ◽  
Patrick O. Smith ◽  
Lois V. Sturges ◽  
Sharon A. Holleran

2015 ◽  
Vol 234 (3) ◽  
pp. 321-327 ◽  
Author(s):  
Bernadette M. Cortese ◽  
Thomas W. Uhde ◽  
Kathleen T. Brady ◽  
F. Joseph McClernon ◽  
Qing X. Yang ◽  
...  
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