Sex differences in amphetamine-induced dopamine release in the dorsolateral prefrontal cortex of tobacco smokers

Zakiniaeiz, Yasmin; Hillmer, Ansel T.; Matuskey, David; Nabulsi, Nabeel; Ropchan, Jim; Mazure, Carolyn M.; Picciotto, Marina R.; Huang, Yiyun; McKee, Sherry A.; Morris, Evan D.; Cosgrove, Kelly P.

doi:10.1038/s41386-019-0456-y

Cited by 34 publications

(34 citation statements)

References 69 publications

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“…Receptor densities were estimated using PET tracer studies for a total of 18 receptors and transporters, across 9 neurotransmitter systems. These include dopamine (D 1 [59], D 2 [96,105,108,131], DAT [33]), norepinephrine (NET [8,22,31,95]), serotonin (5-HT 1A [98], 5-HT 1B [6,41,73,76,77,85,97,98], 5-HT 2A [9], 5-HT 4 [9], 5-HT 6 [87,88], 5-HTT [9]), acetylcholine (α 4 β 2 [6,52], M 1 [78], VAChT [1,7]), glutamate (mGluR 5 [32,106]), GABA (GABA A [80]), histamine (H 3 [42]), cannabinoid (CB 1 [34,79,81,93]), and opioid (MOR [60]). Volumetric PET images were registered to the MNI-ICBM 152 nonlinear 2009 (version c, asymmetric) template, aver-aged across participants within each study, then parcellated to 68 cortical regions.…”

Section: Biological Predictorsmentioning

confidence: 99%

Molecular and connectomic vulnerability shape cross-disorder cortical abnormalities

Hansen

Shafiei

Vogel

et al. 2022

Preprint

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Numerous brain disorders demonstrate structural brain abnormalities, which are thought to arise from molecular perturbations or connectome miswiring. The unique and shared contributions of these molecular and connectomic vulnerabilities to brain disorders remain unknown, and has yet to be studied in a single multi-disorder framework. Using MRI morphometry from the ENIGMA consortium, we construct maps of cortical abnormalities for thirteen neurodevelopmental, neurological, and psychiatric disorders from N=21,000 patients and N=26,000 controls, collected using a harmonized processing protocol. We systematically compare cortical maps to multiple micro-architectural measures, including gene expression, neurotransmitter density, metabolism, and myelination (molecular vulnerability), as well as global connectomic measures including number of connections, centrality, and connection diversity (connectomic vulnerability). We find that regional molecular vulnerability and macroscale brain network architecture interact to drive the spatial patterning of cortical abnormalities in multiple disorders. Local attributes, particularly neurotransmitter receptor profiles, constitute the best predictors of both disorder-specific cortical morphology and cross-disorder similarity. Finally, we find that cross-disorder abnormalities are consistently subtended by a small subset of network epicentres in bilateral sensory-motor, medial temporal lobe, precuneus, and superior parietal cortex. Collectively, our results highlight how local biological attributes and global connectivity jointly shape cross-disorder cortical abnormalities.

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Section: Biological Predictorsmentioning

confidence: 99%

Molecular and connectomic vulnerability shape cross-disorder cortical abnormalities

Hansen

Shafiei

Vogel

et al. 2022

Preprint

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“…frontal gyrus significantly correlated with the reduced RT for the 3-back task for the r-cig condition only (Ernst et al, 2001b;Lawrence et al, 2002;Xu et al, 2005). Alternatively, ROIs such as the dorsolateral prefrontal cortex and hippocampus in the mesocortical pathway (Zakiniaeiz et al, 2019;Dukes et al, 2020) may also be involved. Thus, the association between the neuronal activations of these candidate ROIs and working memory performance can be investigated.…”

Section: Discussionmentioning

confidence: 96%

Electronic Cigarette Vaping Did Not Enhance the Neural Process of Working Memory for Regular Cigarette Smokers

Kim

Jang

Heo

et al. 2022

Front. Hum. Neurosci.

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BackgroundElectronic cigarettes (e-cigs) as substitute devices for regular tobacco cigarettes (r-cigs) have been increasing in recent times. We investigated neuronal substrates of vaping e-cigs and smoking r-cigs from r-cig smokers.MethodsTwenty-two r-cig smokers made two visits following overnight smoking cessation. Functional magnetic resonance imaging (fMRI) data were acquired while participants watched smoking images. Participants were then allowed to smoke either an e-cig or r-cig until satiated and fMRI data were acquired. Their craving levels and performance on the Montreal Imaging Stress Task and a 3-back alphabet/digit recognition task were obtained and analyzed using two-way repeated-measures analysis of variance. Regions-of-interest (ROIs) were identified by comparing the abstained and satiated conditions. Neuronal activation within ROIs was regressed on the craving and behavioral data separately.ResultsCraving was more substantially reduced by smoking r-cigs than by vaping e-cigs. The response time (RT) for the 3-back task was significantly shorter following smoking r-cigs than following vaping e-cigs (interaction: F (1, 17) = 5.3, p = 0.035). Neuronal activations of the right vermis (r = 0.43, p = 0.037, CI = [-0.05, 0.74]), right caudate (r = 0.51, p = 0.015, CI = [0.05, 0.79]), and right superior frontal gyrus (r = −0.70, p = 0.001, CI = [−0.88, −0.34]) were significantly correlated with the RT for the 3-back task only for smoking r-cigs.ConclusionOur findings suggest that insufficient satiety from vaping e-cigs for r-cigs smokers may be insignificant effect on working memory function.

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“…(2017) (and used by Sala et al, 2017 to study early PD pathology) with modifications to remove the non‐cortical ROIs and adding ROIs with evidence of D2R network involvement. To the meso‐cortical network, we added the 1) inferior frontal gyrus pars triangularis (L/R) (Slifstein et al, 2015; Zakiniaeiz et al, 2019) because it forms part of the dorsolateral prefrontal cortex which is innervated by dopamine and involved in executive function; and to the meso‐limbic network, we added the (a) medial cingulate cortex (L/R), (b) posterior cingulate cortex (L/R) (Nagano‐Saito et al, 2017), (c) hippocampus (L/R) (Nyberg et al, 2016), (d) middle temporal pole (L/R), (e) superior temporal pole (L/R) (Wang et al., 1996; Werhahn et al, 2006), and (f) insula (L/R) (Christopher et al, 2014) which all have evidence of being part of the limbic system and have dopaminergic involvement.…”

Section: Methodsmentioning

confidence: 99%

Graph theory analysis of the dopamine D2 receptor network in Parkinson’s disease patients with cognitive decline

Mihaescu

Kim

Masellis

et al. 2020

J of Neuroscience Research

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Sex differences in amphetamine-induced dopamine release in the dorsolateral prefrontal cortex of tobacco smokers

Cited by 34 publications

References 69 publications

Molecular and connectomic vulnerability shape cross-disorder cortical abnormalities

Molecular and connectomic vulnerability shape cross-disorder cortical abnormalities

Electronic Cigarette Vaping Did Not Enhance the Neural Process of Working Memory for Regular Cigarette Smokers

Graph theory analysis of the dopamine D2 receptor network in Parkinson’s disease patients with cognitive decline

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