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Huang X, Qi Y, Zhang R, Pu Y, Chen X, Chen S, Zhao H, He Q. Altered executive control network and default model network topology are linked to acute electronic cigarette use: A resting-state fNIRS study. Addict Biol 2024; 29:e13423. [PMID: 38949205 PMCID: PMC11215790 DOI: 10.1111/adb.13423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 04/30/2024] [Accepted: 06/04/2024] [Indexed: 07/02/2024]
Abstract
In recent years, electronic cigarettes (e-cigs) have gained popularity as stylish, safe, and effective smoking cessation aids, leading to widespread consumer acceptance. Although previous research has explored the acute effects of combustible cigarettes or nicotine replacement therapy on brain functional activities, studies on e-cigs have been limited. Using fNIRS, we conducted graph theory analysis on the resting-state functional connectivity of 61 male abstinent smokers both before and after vaping e-cigs. And we performed Pearson correlation analysis to investigate the relationship between alterations in network metrics and changes in craving. E-cig use resulted in increased degree centrality, nodal efficiency, and local efficiency within the executive control network (ECN), while causing a decrease in these properties within the default model network (DMN). These alterations were found to be correlated with reductions in craving, indicating a relationship between differing network topologies in the ECN and DMN and decreased craving. These findings suggest that the impact of e-cig usage on network topologies observed in male smokers resembles the effects observed with traditional cigarettes and other forms of nicotine delivery, providing valuable insights into their addictive potential and effectiveness as aids for smoking cessation.
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Affiliation(s)
- Xin Huang
- Faculty of Psychology, MOE Key Laboratory of Cognition and PersonalitySouthwest UniversityChongqingChina
| | - Yawei Qi
- Faculty of Psychology, MOE Key Laboratory of Cognition and PersonalitySouthwest UniversityChongqingChina
| | - Ran Zhang
- Faculty of Psychology, MOE Key Laboratory of Cognition and PersonalitySouthwest UniversityChongqingChina
| | - Yu Pu
- Faculty of Psychology, MOE Key Laboratory of Cognition and PersonalitySouthwest UniversityChongqingChina
| | - Xi Chen
- Institute of Life ScienceShenzhen Smoore Technology LimitedShenzhenChina
| | - Shanping Chen
- Institute of Life ScienceShenzhen Smoore Technology LimitedShenzhenChina
| | - Haichao Zhao
- Faculty of Psychology, MOE Key Laboratory of Cognition and PersonalitySouthwest UniversityChongqingChina
| | - Qinghua He
- Faculty of Psychology, MOE Key Laboratory of Cognition and PersonalitySouthwest UniversityChongqingChina
- Collaborative Innovation Center of Assessment toward Basic Education QualitySouthwest University BranchChongqingChina
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2
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Versace F, Robinson JD, Cinciripini PM. Towards neuromarkers for tailored smoking cessation treatments. ADDICTION NEUROSCIENCE 2023; 6:100075. [PMID: 37034180 PMCID: PMC10081511 DOI: 10.1016/j.addicn.2023.100075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Vulnerability to compulsive drug use stems from dysregulated activity within the neural networks that underlie reward and executive functions. Empirical evidence suggests that a) attributing high motivational salience to drug-related stimuli leads to compulsive drug seeking and b) cognitive control deficits lead to compulsive drug taking. Noninvasive neuroimaging techniques enable brain activity monitoring during affective and cognitive processing and are paving the way to precision medicine for substance use disorders. Identifying robust neuromarkers of affective and cognitive dysregulation would allow clinicians to personalize treatments by targeting individual psychophysiological vulnerabilities. However, methodological choices have biased the field toward experimental paradigms that cannot optimally assess individual differences in the motivational salience of drug-related cues and in the ability to control drug-related decisions, choices which have hindered the identification of clinically relevant neuromarkers. Here, we show that once these shortcomings are amended, replicable neuromarkers of the tendency to attribute motivational salience to drug-related cues and the ability to control drug-related decisions emerge. While we use tobacco use disorder as a model, we also show that the methodological issues highlighted here are relevant to other disorders characterized by maladaptive appetitive behaviors.
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Affiliation(s)
- Francesco Versace
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jason D. Robinson
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Paul M. Cinciripini
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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3
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Cushnie AK, Tang W, Heilbronner SR. Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective. Int J Mol Sci 2023; 24:9083. [PMID: 37240428 PMCID: PMC10219092 DOI: 10.3390/ijms24109083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/18/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023] Open
Abstract
Human neuroimaging has demonstrated the existence of large-scale functional networks in the cerebral cortex consisting of topographically distant brain regions with functionally correlated activity. The salience network (SN), which is involved in detecting salient stimuli and mediating inter-network communication, is a crucial functional network that is disrupted in addiction. Individuals with addiction display dysfunctional structural and functional connectivity of the SN. Furthermore, while there is a growing body of evidence regarding the SN, addiction, and the relationship between the two, there are still many unknowns, and there are fundamental limitations to human neuroimaging studies. At the same time, advances in molecular and systems neuroscience techniques allow researchers to manipulate neural circuits in nonhuman animals with increasing precision. Here, we describe attempts to translate human functional networks to nonhuman animals to uncover circuit-level mechanisms. To do this, we review the structural and functional connections of the salience network and its homology across species. We then describe the existing literature in which circuit-specific perturbation of the SN sheds light on how functional cortical networks operate, both within and outside the context of addiction. Finally, we highlight key outstanding opportunities for mechanistic studies of the SN.
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Affiliation(s)
- Adriana K. Cushnie
- Department of Neuroscience, University of Minnesota Twin Cities, 2-164 Jackson Hall, 321 Church St. SE, Minneapolis, MN 55455, USA;
| | - Wei Tang
- Department of Computer Science, Indiana University Bloomington, Bloomington, IN 47408, USA
| | - Sarah R. Heilbronner
- Department of Neuroscience, University of Minnesota Twin Cities, 2-164 Jackson Hall, 321 Church St. SE, Minneapolis, MN 55455, USA;
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX 77030, USA
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4
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Rolls ET, Feng R, Feng J. Lifestyle risks associated with brain functional connectivity and structure. Hum Brain Mapp 2023; 44:2479-2492. [PMID: 36799566 PMCID: PMC10028639 DOI: 10.1002/hbm.26225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 01/16/2023] [Accepted: 01/23/2023] [Indexed: 02/18/2023] Open
Abstract
Some lifestyle factors are related to health and brain function and structure, but the brain systems involved are incompletely understood. A general linear model was used to test the associations of the combined and separate lifestyle risk measures of alcohol use, smoking, diet, amounts of physical activity, leisure activity, and mobile phone use, with brain functional connectivity with the high resolution Human Connectome Project (HCP) atlas in 19,415 participants aged 45-78 from the UK Biobank, with replication with HCP data. Higher combined lifestyle risk scores were associated with lower functional connectivity across the whole brain, but especially of three brain systems. Low physical, and leisure and social, activity were associated with low connectivities of the somatosensory/motor cortical regions and of hippocampal memory-related regions. Low mobile phone use, perhaps indicative of poor social communication channels, was associated with low functional connectivity of brain regions in and related to the superior temporal sulcus that are involved in social behavior and face processing. Smoking was associated with lower functional connectivity of especially frontal regions involved in attention. Lower cortical thickness in some of these regions, and also lower subcortical volume of the hippocampus, amygdala, and globus pallidus, were also associated with the sum of the poor lifestyle scores. This very large scale analysis emphasizes how the lifestyle of humans relates to their brain structure and function, and provides a foundation for understanding the causalities that relate to the differences found here in the brains of different individuals.
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Affiliation(s)
- Edmund T Rolls
- Department of Computer Science, University of Warwick, Coventry, UK
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- Oxford Centre for Computational Neuroscience, Oxford, UK
| | - Ruiqing Feng
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Jianfeng Feng
- Department of Computer Science, University of Warwick, Coventry, UK
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
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5
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Woisard K, Steinberg JL, Ma L, Zuniga E, Lennon M, Moeller FG. Executive control network resting state fMRI functional and effective connectivity and delay discounting in cocaine dependent subjects compared to healthy controls. Front Psychiatry 2023; 14:1117817. [PMID: 36911119 PMCID: PMC9997846 DOI: 10.3389/fpsyt.2023.1117817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
Resting state functional magnetic resonance imaging (fMRI) has been used to study functional connectivity of brain networks in addictions. However, most studies to-date have focused on the default mode network (DMN) with fewer studies assessing the executive control network (ECN) and salience network (SN), despite well-documented cognitive executive behavioral deficits in addictions. The present study assessed the functional and effective connectivity of the ECN, DMN, and SN in cocaine dependent subjects (CD) (n = 22) compared to healthy control subjects (HC) (n = 22) matched on age and education. This study also investigated the relationship between impulsivity measured by delay discounting and functional and effective connectivity of the ECN, DMN, and SN. The Left ECN (LECN), Right ECN (RECN), DMN, and SN functional networks were identified using FSL MELODIC independent component analysis. Functional connectivity differences between CD and HC were assessed using FSL Dual Regression analysis and FSLNets. Effective connectivity differences between CD and HC were measured using the Parametric Empirical Bayes module of Dynamic Causal Modeling. The relationship between delay discounting and functional and effective connectivity were examined using regression analyses. Dynamic causal modeling (DCM) analysis showed strong evidence (posterior probability > 0.95) for CD to have greater effective connectivity than HC in the RECN to LECN pathway when tobacco use was included as a factor in the model. DCM analysis showed strong evidence for a positive association between delay discounting and effective connectivity for the RECN to LECN pathway and for the DMN to DMN self-connection. There was strong evidence for a negative association between delay discounting and effective connectivity for the DMN to RECN pathway and for the SN to DMN pathway. Results also showed strong evidence for a negative association between delay discounting and effective connectivity for the RECN to SN pathway in CD but a positive association in HC. These novel findings provide preliminary support that RECN effective connectivity may differ between CD and HC after controlling for tobacco use. RECN effective connectivity may also relate to tobacco use and impulsivity as measured by delay discounting.
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Affiliation(s)
- Kyle Woisard
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States
| | - Joel L Steinberg
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
| | - Liangsuo Ma
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Department of Radiology, Virginia Commonwealth University, Richmond, VA, United States
| | - Edward Zuniga
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States
| | - Michael Lennon
- Department of Radiology, Virginia Commonwealth University, Richmond, VA, United States
| | - F Gerard Moeller
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States.,Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA, United States.,Department of Neurology, Virginia Commonwealth University, Richmond, VA, United States
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6
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Johnson BN, Kumar A, Su Y, Singh S, Sai KKS, Nader SH, Li S, Reboussin BA, Huang Y, Deep G, Nader MA. PET imaging of kappa opioid receptors and receptor expression quantified in neuron-derived extracellular vesicles in socially housed female and male cynomolgus macaques. Neuropsychopharmacology 2023; 48:410-417. [PMID: 36100655 PMCID: PMC9751296 DOI: 10.1038/s41386-022-01444-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 07/27/2022] [Accepted: 08/24/2022] [Indexed: 12/26/2022]
Abstract
Recent positron emission tomography (PET) studies of kappa opioid receptors (KOR) in humans reported significant relationships between KOR availability and social status, as well as cocaine choice. In monkey models, social status influences physiology, receptor pharmacology and behavior; these variables have been associated vulnerability to cocaine abuse. The present study utilized PET imaging to examine KOR availability in socially housed, cocaine-naïve female and male monkeys, and peripheral measures of KORs with neuron-derived extracellular vesicles (NDE). KOR availability was assessed in dominant and subordinate female and male cynomolgus macaques (N = 4/rank/sex), using PET imaging with the KOR selective agonist [11C]EKAP. In addition, NDE from the plasma of socially housed monkeys (N = 13/sex; N = 6-7/rank) were isolated by immunocapture method and analyzed for OPRK1 protein expression by ELISA. We found significant interactions between sex and social rank in KOR availability across 12 of 15 brain regions. This was driven by female data, in which KOR availability was significantly higher in subordinate monkeys compared with dominant monkeys; the opposite relationship was observed among males, but not statistically significant. No sex or rank differences were observed for NDE OPRK1 concentrations. In summary, the relationship between brain KOR availability and social rank was different in female and male monkeys. This was particularly true in female monkeys. We hypothesize that lower [11C]EKAP binding potentials were due to higher concentrations of circulating dynorphin, which is consistent with greater vulnerability in dominant compared with subordinate females. These findings suggest that the KOR is an important target for understanding the neurobiology associated with vulnerability to abused drugs and sex differences, and detectable in peripheral circulation.
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Affiliation(s)
- Bernard N Johnson
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Center for Addiction Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Ashish Kumar
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Yixin Su
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Sangeeta Singh
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Kiran Kumar Solingapuram Sai
- Center for Addiction Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Susan H Nader
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Songye Li
- Yale PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Beth A Reboussin
- Department of Biostatistics and Data Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Yiyun Huang
- Yale PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
| | - Gagan Deep
- Center for Addiction Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
| | - Michael A Nader
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
- Center for Addiction Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
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7
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Hill-Bowen LD, Riedel MC, Salo T, Flannery JS, Poudel R, Laird AR, Sutherland MT. Convergent gray matter alterations across drugs of abuse and network-level implications: A meta-analysis of structural MRI studies. Drug Alcohol Depend 2022; 240:109625. [PMID: 36115222 DOI: 10.1016/j.drugalcdep.2022.109625] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 09/01/2022] [Accepted: 09/06/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND Neuroimaging studies often consider brain alterations linked with substance abuse within the context of individual drugs (e.g., nicotine), while neurobiological theories of addiction emphasize common brain network-level alterations across drug classes. Using emergent meta-analytic techniques, we identified common structural brain alterations across drugs and characterized the functionally-connected networks with which such structurally altered regions interact. METHODS We identified 82 articles characterizing gray matter (GM) volume differences for substance users vs. controls. Using the anatomical likelihood estimation algorithm, we identified convergent GM reductions across drug classes. Next, we performed resting-state and meta-analytic functional connectivity analyses using each structurally altered region as a seed and computed whole-brain functional connectivity profiles as the union of both maps. We characterized an "extended network" by identifying brain areas demonstrating the highest degree of functional coupling with structurally impacted regions. Finally, hierarchical clustering was performed leveraging extended network nodes' functional connectivity profiles to delineate subnetworks. RESULTS Across drug classes, we identified medial frontal/ventromedial prefrontal, and multiple regions in anterior cingulate (ACC) and insula as regions displaying convergent GM reductions among users. Overlap of these regions' functional connectivity profiles identified ACC, inferior frontal, PCC, insula, superior temporal, and putamen as regions of an impacted extended network. Hierarchical clustering revealed 3 subnetworks closely corresponding to default mode (PCC, angular), salience (dACC, caudate), and executive control networks (dlPFC and parietal). CONCLUSIONS These outcomes suggest that substance-related structural brain alterations likely have implications for the functioning of canonical large-scale networks and the perpetuation of substance use and neurocognitive alterations.
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Affiliation(s)
- Lauren D Hill-Bowen
- Department of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States
| | - Michael C Riedel
- Department of Physics, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States
| | - Taylor Salo
- Department of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States
| | - Jessica S Flannery
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC, United States
| | - Ranjita Poudel
- Department of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States
| | - Angela R Laird
- Department of Physics, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States
| | - Matthew T Sutherland
- Department of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL 33199, United States.
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8
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Flannery JS, Riedel MC, Hill-Bowen LD, Poudel R, Bottenhorn KL, Salo T, Laird AR, Gonzalez R, Sutherland MT. Altered large-scale brain network interactions associated with HIV infection and error processing. Netw Neurosci 2022; 6:791-815. [PMID: 36605414 PMCID: PMC9810366 DOI: 10.1162/netn_a_00241] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/14/2022] [Indexed: 01/07/2023] Open
Abstract
Altered activity within and between large-scale brain networks has been implicated across various neuropsychiatric conditions. However, patterns of network dysregulation associated with human immunodeficiency virus (HIV), and further impacted by cannabis (CB) use, remain to be delineated. We examined the impact of HIV and CB on resting-state functional connectivity (rsFC) between brain networks and associations with error awareness and error-related network responsivity. Participants (N = 106), stratified into four groups (HIV+/CB+, HIV+/CB-, HIV-/CB+, HIV-/CB-), underwent fMRI scanning while completing a resting-state scan and a modified Go/NoGo paradigm assessing brain responsivity to errors and explicit error awareness. We examined separate and interactive effects of HIV and CB on resource allocation indexes (RAIs), a measure quantifying rsFC strength between the default mode network (DMN), central executive network (CEN), and salience network (SN). We observed reduced RAIs among HIV+ (vs. HIV-) participants, which was driven by increased SN-DMN rsFC. No group differences were detected for SN-CEN rsFC. Increased SN-DMN rsFC correlated with diminished error awareness, but not with error-related network responsivity. These outcomes highlight altered network interactions among participants with HIV and suggest such rsFC dysregulation may persist during task performance, reflecting an inability to disengage irrelevant mental operations, ultimately hindering error processing.
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Affiliation(s)
- Jessica S. Flannery
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michael C. Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | | | - Ranjita Poudel
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Katherine L. Bottenhorn
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Taylor Salo
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Raul Gonzalez
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL, USA,* Corresponding Author:
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9
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Paolini M, Keeser D, Rauchmann BS, Gschwendtner S, Jeanty H, Reckenfelderbäumer A, Yaseen O, Reidler P, Rabenstein A, Engelbregt HJ, Maywald M, Blautzik J, Ertl-Wagner B, Pogarell O, Rüther T, Karch S. Correlations Between the DMN and the Smoking Cessation Outcome of a Real-Time fMRI Neurofeedback Supported Exploratory Therapy Approach: Descriptive Statistics on Tobacco-Dependent Patients. Clin EEG Neurosci 2022; 53:287-296. [PMID: 34878329 PMCID: PMC9174614 DOI: 10.1177/15500594211062703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 08/28/2021] [Accepted: 10/28/2021] [Indexed: 11/30/2022]
Abstract
The aim of this study was to explore the potential of default mode network (DMN) functional connectivity for predicting the success of smoking cessation in patients with tobacco dependence in the context of a real-time function al MRI (RT-fMRI) neurofeedback (NF) supported therapy.Fifty-four tobacco-dependent patients underwent three RT-fMRI-NF sessions including resting-state functional connectivity (RSFC) runs over a period of 4 weeks during professionally assisted smoking cessation. Patients were randomized into two groups that performed either active NF of an addiction-related brain region or sham NF. After preprocessing, the RSFC baseline data were statistically evaluated using seed-based ROI (SBA) approaches taking into account the smoking status of patients after 3 months (abstinence/relapse).The results of the real study group showed a widespread functional connectivity in the relapse subgroup (n = 10) exceeding the DMN template and mainly low correlations and anticorrelations in the within-seed analysis. In contrast, the connectivity pattern of the abstinence subgroup (n = 8) primarily contained the core DMN in the seed-to-whole-brain analysis and a left lateralized correlation pattern in the within-seed analysis. Calculated Multi-Subject Dictionary Learning (MSDL) matrices showed anticorrelations between DMN regions and salience regions in the abstinence group. Concerning the sham group, results of the relapse subgroup (n = 4) and the abstinence subgroup (n = 6) showed similar trends only in the within-seed analysis.In the setting of a RT-fMRI-NF-assisted therapy, a widespread intrinsic DMN connectivity and a low negative coupling between the DMN and the salience network (SN) in patients with tobacco dependency during early withdrawal may be useful as an early indicator of later therapy nonresponse.
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Affiliation(s)
- Marco Paolini
- Department of Radiology, University
Hospital, LMU Munich, Munich, Germany
| | - Daniel Keeser
- Department of Radiology, University
Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Radiology, University
Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Sarah Gschwendtner
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Hannah Jeanty
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Arne Reckenfelderbäumer
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Omar Yaseen
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Paul Reidler
- Department of Radiology, University
Hospital, LMU Munich, Munich, Germany
| | - Andrea Rabenstein
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Hessel Jan Engelbregt
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Hersencentrum Mental Health Institute, Amsterdam, the
Netherlands
| | - Maximilian Maywald
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Janusch Blautzik
- Department of Radiology, University
Hospital, LMU Munich, Munich, Germany
- Institute for Radiology and Nuclear
Medicine St. Anna, Luzern, Switzerland
| | - Birgit Ertl-Wagner
- Department of Radiology, University
Hospital, LMU Munich, Munich, Germany
- Division of Neuro-Radiology, The Hospital for Sick Children,
University of Toronto, Toronto, Canada
| | - Oliver Pogarell
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Tobias Rüther
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Susanne Karch
- Department of Psychiatry and
Psychotherapy, University Hospital, LMU Munich, Munich, Germany
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10
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Wilson SJ. Constructing Craving: Applying the Theory of Constructed Emotion to Urge States. CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE 2022; 31:347-354. [DOI: 10.1177/09637214221098055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Craving (a strong desire to ingest a substance or engage in an activity) is an important topic of study in the field of psychology. Along with being a key symptom of addiction, craving is a potent source of motivation for a wide range of appetitive behaviors. In this article, I offer a perspective regarding the nature of craving that is rooted in the theory of constructed emotion, a contemporary model of how emotions are created by the brain. According to this perspective, a state of craving emerges when the brain makes predictions that categorize sensory inputs as an instance of craving on the basis of prior experience and the context in which the inputs occur. Using the theory of constructed emotion as a guiding framework, I review various lines of evidence that provide support for this idea. In addition, I offer recommendations for future research that stem from the hypothesis that instances of craving are constructed by the brain in an experience-dependent and situation-specific manner.
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11
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Abstract
Prior findings indicate that trait anhedonia enhances the likelihood of becoming a tobacco smoker, and preliminary evidence suggests that smoking abstinence leads to anhedonic states in some individuals and situations, and nicotine administration reduces anhedonic states. Nevertheless, many vital questions exist concerning relationships between anhedonia and nicotine dependence, including situational and individual difference factors that may moderate the strength of these associations. This chapter provides a critical review of the literature assessing relationships of anhedonia to nicotine dependence and the effects of acute nicotine through the lenses of the Research Domain Criteria's (RDoC) Positive Valence Systems (NIMH, RDoC changes to the matrix (CMAT) workgroup update: proposed positive valence domain revisions. A report by the national advisory mental health council workgroup on changes to the research domain criteria matrix, 2018) and the Situation x Trait Affective Response (STAR) model of nicotine's effects and nicotine dependence (Gilbert, Smoking individual differences, psychopathology, and emotion. Taylor and Francis, Washington, DC, 1995; Gilbert, Hum Psychopharmacol Clin Exp 12:S89-S102, 1997). The effects of nicotine and nicotine withdrawal on subjective, behavioral, and brain indices vary across the three RDoC Positive Valences Systems (Reward Responsiveness, Reward Learning, and Reward Valuation) in a manner that supports the research and potential clinical utility of using RDoC criteria and the STAR model to guide research and clinical innovation. We provide a revision of the STAR model that incorporates the three RDoC Positive Valence Systems with evidence that nicotine's effects on hedonic and affective processes vary as a function of the dominance/salience of (1) situational hedonic and affective cues and task/active coping cues, and (2) state executive functioning level/capacity and state reward sensitivity such that these effects of nicotine are maximal during states of suboptimal cognitive functioning and reward sensitivity, combined with low situational stimulus salience and low task-related cues/demands.
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Affiliation(s)
- David G Gilbert
- School of Psychological and Social Sciences, Southern Illinois University-Carbondale, Carbondale, IL, USA.
| | - Bryant M Stone
- School of Psychological and Social Sciences, Southern Illinois University-Carbondale, Carbondale, IL, USA
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12
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Hill-Bowen LD, Riedel MC, Poudel R, Salo T, Flannery JS, Camilleri JA, Eickhoff SB, Laird AR, Sutherland MT. The cue-reactivity paradigm: An ensemble of networks driving attention and cognition when viewing drug and natural reward-related stimuli. Neurosci Biobehav Rev 2021; 130:201-213. [PMID: 34400176 PMCID: PMC8511211 DOI: 10.1016/j.neubiorev.2021.08.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 07/02/2021] [Accepted: 08/09/2021] [Indexed: 11/30/2022]
Abstract
The cue-reactivity paradigm is a widely adopted neuroimaging probe engendering brain activity linked with attentional, affective, and reward processes following presentation of appetitive stimuli. Given the multiple mental operations invoked, we sought to decompose cue-related brain activity into constituent components employing emergent meta-analytic techniques when considering drug and natural reward-related cues. We conducted coordinate-based meta-analyses delineating common and distinct brain activity convergence across cue-reactivity studies (N = 196 articles) involving drug (n = 133) or natural (n = 63) visual stimuli. Across all studies, convergence was observed in limbic, cingulate, insula, and fronto-parieto-occipital regions. Drug-distinct convergence was observed in posterior cingulate, dorsolateral prefrontal, and temporo-parietal regions, whereas distinct-natural convergence was observed in thalamic, insular, orbitofrontal, and occipital regions. We characterized connectivity profiles of identified regions by leveraging task-independent and task-dependent MRI datasets, grouped these profiles into subnetworks, and linked each with putative mental operations. Outcomes suggest multifaceted brain activity during cue-reactivity can be decomposed into elemental processes and indicate that while drugs of abuse usurp the brain's natural-reward-processing system, some regions appear distinct to drug cue-reactivity.
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Affiliation(s)
- Lauren D Hill-Bowen
- Department of Psychology, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Michael C Riedel
- Department of Physics, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Ranjita Poudel
- Department of Psychology, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Taylor Salo
- Department of Psychology, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Jessica S Flannery
- Department of Psychology, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Julia A Camilleri
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, 52425, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, 52425, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Angela R Laird
- Department of Physics, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States
| | - Matthew T Sutherland
- Department of Psychology, Florida International University, 11200 SW 8(th)Street, Miami, FL, 33199, United States.
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13
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Clinical efficacy observation of acupoint thread-embedding in treating obese patients with food addiction. JOURNAL OF ACUPUNCTURE AND TUINA SCIENCE 2021. [DOI: 10.1007/s11726-021-1245-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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14
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Baranger DAA, Lindenmuth M, Nance M, Guyer AE, Keenan K, Hipwell AE, Shaw DS, Forbes EE. The longitudinal stability of fMRI activation during reward processing in adolescents and young adults. Neuroimage 2021; 232:117872. [PMID: 33609668 PMCID: PMC8238413 DOI: 10.1016/j.neuroimage.2021.117872] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 02/12/2021] [Accepted: 02/13/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND The use of functional neuroimaging has been an extremely fruitful avenue for investigating the neural basis of human reward function. This approach has included identification of potential neurobiological mechanisms of psychiatric disease and examination of environmental, experiential, and biological factors that may contribute to disease risk via effects on the reward system. However, a central and largely unexamined assumption of much of this research is that neural reward function is an individual difference characteristic that is relatively stable and trait-like over time. METHODS In two independent samples of adolescents and young adults studied longitudinally (Ns = 145 & 139, 100% female and 100% male, ages 15-21 and 20-22, 2-4 scans and 2 scans respectively), we tested within-person stability of reward-task BOLD activation, with a median of 1 and 2 years between scans. We examined multiple commonly used contrasts of active states and baseline in both the anticipation and feedback phases of a card-guessing reward task. We examined the effects of cortical parcellation resolution, contrast, network (reward regions and resting-state networks), region-size, and activation strength and variability on the stability of reward-related activation. RESULTS In both samples, contrasts of an active state relative to a baseline were more stable (ICC: intra-class correlation; e.g., Win>Baseline; mean ICC = 0.13 - 0.33) than contrasts of two active states (e.g., Win>Loss; mean ICC = 0.048 - 0.05). Additionally, activation in reward regions was less stable than in many non-task networks (e.g., dorsal attention), and activation in regions with greater between-subject variability showed higher stability in both samples. CONCLUSIONS These results show that some contrasts from functional neuroimaging activation during a card guessing reward task have partially trait-like properties in adolescent and young adult samples over 1-2 years. Notably, results suggest that contrasts intended to map cognitive function and show robust group-level effects (i.e. Win > Loss) may be less effective in studies of individual differences and disease risk. The robustness of group-level activation should be weighed against other factors when selecting regions of interest in individual difference fMRI studies.
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Affiliation(s)
- David A A Baranger
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States.
| | - Morgan Lindenmuth
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States
| | - Melissa Nance
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States
| | - Amanda E Guyer
- Center for Mind and Brain, University of California Davis, Davis, CA, United States; Department of Human Ecology, University of California Davis, Davis, CA, United States
| | - Kate Keenan
- University of Chicago, Department of Psychiatry and Behavioral Neuroscience, Chicago, IL, United States
| | - Alison E Hipwell
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States
| | - Daniel S Shaw
- University of Pittsburgh, Department of Psychology, Pittsburgh, PA, United States
| | - Erika E Forbes
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States; University of Pittsburgh, Department of Psychology, Pittsburgh, PA, United States
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15
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Scarlata MJ, Keeley RJ, Stein EA. Nicotine addiction: Translational insights from circuit neuroscience. Pharmacol Biochem Behav 2021; 204:173171. [PMID: 33727060 DOI: 10.1016/j.pbb.2021.173171] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 02/13/2021] [Accepted: 03/08/2021] [Indexed: 11/18/2022]
Abstract
Contemporary neuroscience aims to understand how neuronal activity produces internal processes and observable behavioral states. This aim crucially depends on systems-level, circuit-based analyses of the working brain, as behavioral states arise from information flow and connectivity within and between discrete and overlapping brain regions, forming circuits and networks. Functional magnetic resonance imaging (fMRI), offers a key to advance circuit neuroscience; fMRI measures inter and intra- regional circuits at behaviorally relevant spatial-temporal resolution. Herein, we argue that cross-sectional observations in human populations can be best understood via mechanistic and causal insights derived from brain circuitry obtained from preclinical fMRI models. Using nicotine addiction as an exemplar of a circuit-based substance use disorder, we review fMRI-based observations of a circuit that was first shown to be disrupted among human smokers and was recently replicated in rodent models of nicotine dependence. Next, we discuss circuits that predispose to nicotine dependence severity and their interaction with circuits that change as a result of chronic nicotine administration using a rodent model of dependence. Data from both clinical and preclinical fMRI experiments argue for the utility of fMRI studies in translation and reverse translation of a circuit-based understanding of brain disease states. We conclude by discussing the future of circuit neuroscience and functional neuroimaging as an essential bridge between animal models and human populations to the understanding of brain function in health and disease.
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Affiliation(s)
- M J Scarlata
- Neuroimaging Research Branch, National Institute on Drug Abuse (NIDA), Intramural Research Program, NIH, Baltimore, MD, USA
| | - R J Keeley
- Neuroimaging Research Branch, National Institute on Drug Abuse (NIDA), Intramural Research Program, NIH, Baltimore, MD, USA
| | - E A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse (NIDA), Intramural Research Program, NIH, Baltimore, MD, USA.
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16
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Martín Ríos R, López-Torrecillas F, Martín Tamayo I. Executive Functions in Tobacco Use Disorder: New Challenges and Opportunities. Front Psychiatry 2021; 12:586520. [PMID: 33790811 PMCID: PMC8005566 DOI: 10.3389/fpsyt.2021.586520] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 02/18/2021] [Indexed: 01/21/2023] Open
Abstract
There is increasing evidence that executive functions have significative effects on nicotine abuse. An unresolved challenge for smoking cessation interventions is the detection of factors associated with nicotine use. In order to understand how cognition is affected by nicotine abuse, this study was designed to determine the relationship between years of smoking addiction and several variables of executive functions. The sample was composed of 174 smokers, whose age ranged between 27 and 69 years old (M = 47.44; SD = 8.48). Smokers were assessed at baseline with measures of cognitive inhibition [Go/No Go Task and Five Digit Test (FDT)], updating [Visual Search and Attention Test (VSAT) and Letter-Number Sequencing (WAIS IV)] and shifting [Delay Discounting Task (DDT) and Iowa Gambling Task (IGT)] while the outcome measure was years of smoking. The linear regression and correlation analysis highlighting that the variable which has the strongest association with years of smoking is updating. Multivariate analysis of variance (MANCOVA) followed by Tukey post-hoc tests revealed significant differences such that heavy smoking indicated worse performance than light smoking on updating tasks. These findings report the ability of working memory to predict years of smoking and suggest that cigarette packaging warning may experience a loss of effectiveness in heavy smokers.
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Affiliation(s)
- Raquel Martín Ríos
- Department of Personality, Assessment and Psychological Treatment, University of Granada, Granada, Spain
| | | | - Ignacio Martín Tamayo
- Department of Methodology of Behavioral Sciences, University of Granada, Granada, Spain
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17
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18
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Sanna A, Fattore L, Badas P, Corona G, Diana M. The hypodopaminergic state ten years after: transcranial magnetic stimulation as a tool to test the dopamine hypothesis of drug addiction. Curr Opin Pharmacol 2020; 56:61-67. [PMID: 33310457 DOI: 10.1016/j.coph.2020.11.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 10/28/2020] [Accepted: 11/02/2020] [Indexed: 01/29/2023]
Abstract
An altered dopamine transmission has been described for different types of addiction for a long time. Preclinical and clinical evidence support the hypodopaminergic hypothesis and underpin the need to increase dopamine transmission to obtain therapeutic benefit. Repetitive transcranial magnetic stimulation (rTMS) of prefrontal cortex shows efficacy in treating some forms of addiction. Recent imaging studies confirmed that the therapeutic effect of rTMS is correlated with an enhancement of dopamine transmission. Novel targets for rTMS are under evaluation to increase its effectiveness in treating addiction, and research is ongoing to find the optimal protocol to boost dopaminergic transmission in the addicted brain. TMS can thus be considered a useful tool to test the dopamine hypothesis of drug addiction and instrumental in the search for addiction therapeutics.
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Affiliation(s)
- Angela Sanna
- Department of Medical Science and Public Health, Section of Neurology, University of Cagliari
| | - Liana Fattore
- CNR Institute of Neuroscience-Cagliari, National Research Council, Cittadella Universitaria, Monserrato, 09042, CA, Italy
| | - Paola Badas
- rTMS Italia, via Tonale 15, Cagliari, 09122, Italy
| | | | - Marco Diana
- 'G.Minardi' Laboratory of Cognitive Neuroscience, Department of Chemistry and Pharmacy, University of Sassari, via Muroni 23v, 07100, Italy.
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19
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Chang L, Liang H, Kandel SR, He JJ. Independent and Combined Effects of Nicotine or Chronic Tobacco Smoking and HIV on the Brain: A Review of Preclinical and Clinical Studies. J Neuroimmune Pharmacol 2020; 15:658-693. [PMID: 33108618 DOI: 10.1007/s11481-020-09963-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 09/25/2020] [Indexed: 02/07/2023]
Abstract
Tobacco smoking is highly prevalent among HIV-infected individuals. Chronic smokers with HIV showed greater cognitive deficits and impulsivity, and had more psychopathological symptoms and greater neuroinflammation than HIV non-smokers or smokers without HIV infection. However, preclinical studies that evaluated the combined effects of HIV-infection and tobacco smoking are scare. The preclinical models typically used cell cultures or animal models that involved specific HIV viral proteins or the administration of nicotine to rodents. These preclinical models consistently demonstrated that nicotine had neuroprotective and anti-inflammatory effects, leading to cognitive enhancement. Although the major addictive ingredient in tobacco smoking is nicotine, chronic smoking does not lead to improved cognitive function in humans. Therefore, preclinical studies designed to unravel the interactive effects of chronic tobacco smoking and HIV infection are needed. In this review, we summarized the preclinical studies that demonstrated the neuroprotective effects of nicotine, the neurotoxic effects of the HIV viral proteins, and the scant literature on nicotine or tobacco smoke in HIV transgenic rat models. We also reviewed the clinical studies that evaluated the neurotoxic effects of tobacco smoking, HIV infection and their combined effects on the brain, including studies that evaluated the cognitive and behavioral assessments, as well as neuroimaging measures. Lastly, we compared the different approaches between preclinical and clinical studies, identified some gaps and proposed some future directions. Graphical abstract Independent and combined effects of HIV and tobacco/nicotine. Left top and bottom panels: Both clinical studies of HIV infected persons and preclinical studies using viral proteins in vitro or in vivo in animal models showed that HIV infection could lead to neurotoxicity and neuroinflammation. Right top and bottom panels: While clinical studies of tobacco smoking consistently showed deleterious effects of smoking, clinical and preclinical studies that used nicotine show mild cognitive enhancement, neuroprotective and possibly anti-inflammatory effects. In the developing brain, however, nicotine is neurotoxic. Middle overlapping panels: Clinical studies of persons with HIV who were smokers typically showed additive deleterious effects of HIV and tobacco smoking. However, in the preclinical studies, when nicotine was administered to the HIV-1 Tg rats, the neurotoxic effects of HIV were attenuated, but tobacco smoke worsened the inflammatory cascade.
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Affiliation(s)
- Linda Chang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W. Baltimore Street, HSF III, Baltimore, MD, 21201, USA.
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
| | - Huajun Liang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W. Baltimore Street, HSF III, Baltimore, MD, 21201, USA
| | - Suresh R Kandel
- Department of Microbiology and Immunology, Chicago Medical School, Center for Cancer Cell Biology, Immunology and Infection, Rosalind Franklin University, 3333 Green Bay Road, Basic Science Building 2.300, North Chicago, IL, 60064, USA
| | - Johnny J He
- Department of Microbiology and Immunology, Chicago Medical School, Center for Cancer Cell Biology, Immunology and Infection, Rosalind Franklin University, 3333 Green Bay Road, Basic Science Building 2.300, North Chicago, IL, 60064, USA.
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20
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Keeley RJ, Hsu LM, Brynildsen JK, Lu H, Yang Y, Stein EA. Intrinsic differences in insular circuits moderate the negative association between nicotine dependence and cingulate-striatal connectivity strength. Neuropsychopharmacology 2020; 45:1042-1049. [PMID: 32053829 PMCID: PMC7162949 DOI: 10.1038/s41386-020-0635-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 01/17/2020] [Accepted: 02/04/2020] [Indexed: 11/08/2022]
Abstract
The development of brain-based biomarkers to assess nicotine dependence severity and treatment efficacy are essential to improve the current marginally effective treatment outcomes. Cross-sectional resting state functional connectivity (rsFC) studies in humans identified a circuit between the dorsal anterior cingulate cortex and the ventral striatum that negatively correlated with increased nicotine dependence severity but was unaffected by acute nicotine administration, suggesting a trait marker of addiction. However, whether this trait circuit dysregulation is predispositional to or resultant from nicotine dependence is unclear. Using a rat model of nicotine dependence with longitudinal fMRI measurements, we assessed the relationship between ACC-striatal rsFC and nicotine dependence severity. Data-driven modularity-based parcellation of the rat medial prefrontal cortex (mPFC) combined with seed-based connectivity analysis with the striatum recapitulated the cingulate-striatum relationship observed in humans. Furthermore, the relationship between cingulate-striatal brain circuits and nicotine dependence severity as indexed by the intensity of precipitated withdrawal, was fully statistically moderated by a predispositional insular-frontal cortical functional circuit. These data suggest that the identified trans-species ACC-striatal circuit relationship with nicotine dependence severity is dysregulated following chronic nicotine administration-induced dependence and may be biased by individual differences in predispositional insula-based striatal-frontal circuits, highlighting the circuit's potential as a biomarker of dependence severity.
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Affiliation(s)
- Robin J Keeley
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
| | - Li-Ming Hsu
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, 130 Mason Farm Rd, Chapel Hill, NC, 27599, USA
| | - Julia K Brynildsen
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA
| | - Hanbing Lu
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA
| | - Elliot A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA.
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21
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Hardee JE, Phaneuf C, Cope L, Zucker R, Gearhardt A, Heitzeg M. Neural correlates of inhibitory control in youth with symptoms of food addiction. Appetite 2020; 148:104578. [PMID: 31904390 DOI: 10.1016/j.appet.2019.104578] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 12/02/2019] [Accepted: 12/30/2019] [Indexed: 12/27/2022]
Abstract
Prior research has found that food addiction is associated with reward-related neural differences, but research has yet to examine whether there are also neural differences in inhibitory control. This may be particularly relevant during adolescence as it is a key developmental period where difficulties in inhibitory control are more prevalent. The Yale Food Addiction Scale is a self-report questionnaire that applies substance use disorder diagnostic criteria to certain foods that has also been adapted for children. Here we investigate the association between addictive-like eating and brain functioning during inhibitory control in youth. Seventy-six right-handed participants 8.2-17.8 years (44 male) were recruited. Participants performed a go/no-go task during functional magnetic resonance imaging and completed the Yale Food Addiction Scale for Children, after which they were categorized into two groups according to their scores (No Symptom Group = 0; YFAS-C Group: score ≥ 1). Inhibitory control was probed with a contrast of correct no-go versus go trials. An independent-samples t-test comparing groups revealed a significant difference in three primary clusters, all exclusively in the left hemisphere (No Symptom Group > YFAS-C Group): middle temporal gyrus/occipital gyrus, precuneus/calcarine sulcus, and inferior frontal gyrus. Specifically, the YFAS-C Group showed deactivation in all three clusters. Adolescents who endorse food addiction appear to show hypo-activation in response to the inhibitory control portion of a go/no-go task, which suggests possible inhibitory control difficulties.
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Affiliation(s)
- Jillian E Hardee
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Rd, Ann Arbor, MI, 48109, USA.
| | - Camille Phaneuf
- University of Michigan, Department of Psychology, 530 Church St, Ann Arbor, MI, 48109, USA
| | - Lora Cope
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Rd, Ann Arbor, MI, 48109, USA
| | - Robert Zucker
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Rd, Ann Arbor, MI, 48109, USA
| | - Ashley Gearhardt
- University of Michigan, Department of Psychology, 530 Church St, Ann Arbor, MI, 48109, USA
| | - Mary Heitzeg
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Rd, Ann Arbor, MI, 48109, USA
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22
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Reese ED, Yi JY, McKay KG, Stein EA, Ross TJ, Daughters SB. Triple Network Resting State Connectivity Predicts Distress Tolerance and Is Associated with Cocaine Use. J Clin Med 2019; 8:jcm8122135. [PMID: 31817047 PMCID: PMC6947426 DOI: 10.3390/jcm8122135] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 11/21/2019] [Accepted: 11/25/2019] [Indexed: 01/28/2023] Open
Abstract
Distress tolerance (DT), a predictor of substance use treatment retention and post-treatment relapse, is associated with task based neural activation in regions located within the salience (SN), default mode (DMN), and executive control networks (ECN). The impact of network connectivity on DT has yet to be investigated. The aim of the present study was to test within and between network resting-state functional connectivity (rsFC) associations with DT, and the impact of cocaine use on this relationship. Twenty-nine adults reporting regular cocaine use (CU) and 28 matched healthy control individuals (HC), underwent resting-state functional magnetic resonance imaging followed by the completion of two counterbalanced, computerized DT tasks. Dual-regression analysis was used to derive within and between network rsFC of the SN, DMN, and lateralized (left and right) ECN. Cox proportional-hazards survival models were used to test the interactive effect of rsFC and group on DT. The association between cocaine use severity, rsFC, and DT was tested within the CU group. Lower LECN and higher DMN-SN rsFC were associated with DT impairment. Greater amount of cocaine use per using day was associated with greater DMN-SN rsFC. The findings emphasize the role of neural resource allocation within the ECN and between DMN-SN on distress tolerance.
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Affiliation(s)
- Elizabeth D. Reese
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC 27514, USA; (E.D.R.); (J.Y.Y.); (K.G.M.)
| | - Jennifer Y. Yi
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC 27514, USA; (E.D.R.); (J.Y.Y.); (K.G.M.)
| | - Katlyn G. McKay
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC 27514, USA; (E.D.R.); (J.Y.Y.); (K.G.M.)
| | - Elliot A. Stein
- Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA; (E.A.S.); (T.J.R.)
| | - Thomas J. Ross
- Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA; (E.A.S.); (T.J.R.)
| | - Stacey B. Daughters
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC 27514, USA; (E.D.R.); (J.Y.Y.); (K.G.M.)
- Correspondence:
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23
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Flannery JS, Riedel MC, Poudel R, Laird AR, Ross TJ, Salmeron BJ, Stein EA, Sutherland MT. Habenular and striatal activity during performance feedback are differentially linked with state-like and trait-like aspects of tobacco use disorder. SCIENCE ADVANCES 2019; 5:eaax2084. [PMID: 31633021 PMCID: PMC6785263 DOI: 10.1126/sciadv.aax2084] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 09/14/2019] [Indexed: 05/15/2023]
Abstract
The habenula, an epithalamic nucleus involved in reward and aversive processing, may contribute to negative reinforcement mechanisms maintaining nicotine use. We used a performance feedback task that differentially activates the striatum and habenula and administered nicotine and varenicline (versus placebos) to overnight-abstinent smokers and nonsmokers to delineate feedback-related functional brain alterations both as a function of smoking trait (smokers versus nonsmokers) and drug administration state (drug versus placebo). Smokers showed less striatal responsivity to positive feedback, an alteration not mitigated by drug administration, but rather correlated with trait-level addiction severity. Conversely, nicotine administration reduced habenula activity following both positive and negative feedback among abstinent smokers, but not nonsmokers, and increased habenula activity among smokers correlated with elevated state-level tobacco cravings. These outcomes highlight a dissociation between neurobiological processes linked with the dependence severity trait and the nicotine withdrawal state. Interventions simultaneously targeting both aspects may improve currently poor cessation outcomes.
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Affiliation(s)
| | - Michael C. Riedel
- Department of Physics, Florida International University, Miami, FL, USA
| | - Ranjita Poudel
- Department of Psychology, Florida International University, Miami, FL, USA
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Thomas J. Ross
- Neuroimaging Research Branch, National Institute on Drug Abuse–Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Betty Jo Salmeron
- Neuroimaging Research Branch, National Institute on Drug Abuse–Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Elliot A. Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse–Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Matthew T. Sutherland
- Department of Psychology, Florida International University, Miami, FL, USA
- Corresponding author.
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Ibrahim C, Rubin-Kahana DS, Pushparaj A, Musiol M, Blumberger DM, Daskalakis ZJ, Zangen A, Le Foll B. The Insula: A Brain Stimulation Target for the Treatment of Addiction. Front Pharmacol 2019; 10:720. [PMID: 31312138 PMCID: PMC6614510 DOI: 10.3389/fphar.2019.00720] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 06/05/2019] [Indexed: 12/15/2022] Open
Abstract
Substance use disorders (SUDs) are a growing public health concern with only a limited number of approved treatments. However, even approved treatments are subject to limited efficacy with high long-term relapse rates. Current treatment approaches are typically a combination of pharmacotherapies and behavioral counselling. Growing evidence and technological advances suggest the potential of brain stimulation techniques for the treatment of SUDs. There are three main brain stimulation techniques that are outlined in this review: transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), and deep brain stimulation (DBS). The insula, a region of the cerebral cortex, is known to be involved in critical aspects underlying SUDs, such as interoception, decision making, anxiety, pain perception, cognition, mood, threat recognition, and conscious urges. This review focuses on both the preclinical and clinical evidence demonstrating the role of the insula in addiction, thereby demonstrating its promise as a target for brain stimulation. Future research should evaluate the optimal parameters for brain stimulation of the insula, through the use of relevant biomarkers and clinical outcomes for SUDs.
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Affiliation(s)
- Christine Ibrahim
- Translational Addiction Research Laboratory, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Dafna S. Rubin-Kahana
- Translational Addiction Research Laboratory, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Abhiram Pushparaj
- Qunuba Sciences, Toronto, ON, Canada
- Ironstone Product Development, Toronto, ON, Canada
| | | | - Daniel M. Blumberger
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Temerty Centre for Therapeutic Brain Intervention, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Zafiris J. Daskalakis
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Temerty Centre for Therapeutic Brain Intervention, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Abraham Zangen
- Department of Life Sciences and the Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Bernard Le Foll
- Translational Addiction Research Laboratory, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Addictions Division, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Alcohol Research and Treatment Clinic, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
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25
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Cheng W, Rolls ET, Robbins TW, Gong W, Liu Z, Lv W, Du J, Wen H, Ma L, Quinlan EB, Garavan H, Artiges E, Papadopoulos Orfanos D, Smolka MN, Schumann G, Kendrick K, Feng J. Decreased brain connectivity in smoking contrasts with increased connectivity in drinking. eLife 2019; 8:e40765. [PMID: 30616717 PMCID: PMC6336408 DOI: 10.7554/elife.40765] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2018] [Accepted: 12/20/2018] [Indexed: 01/01/2023] Open
Abstract
In a group of 831 participants from the general population in the Human Connectome Project, smokers exhibited low overall functional connectivity, and more specifically of the lateral orbitofrontal cortex which is associated with non-reward mechanisms, the adjacent inferior frontal gyrus, and the precuneus. Participants who drank a high amount had overall increases in resting state functional connectivity, and specific increases in reward-related systems including the medial orbitofrontal cortex and the cingulate cortex. Increased impulsivity was found in smokers, associated with decreased functional connectivity of the non-reward-related lateral orbitofrontal cortex; and increased impulsivity was found in high amount drinkers, associated with increased functional connectivity of the reward-related medial orbitofrontal cortex. The main findings were cross-validated in an independent longitudinal dataset with 1176 participants, IMAGEN. Further, the functional connectivities in 14-year-old non-smokers (and also in female low-drinkers) were related to who would smoke or drink at age 19. An implication is that these differences in brain functional connectivities play a role in smoking and drinking, together with other factors.
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Affiliation(s)
- Wei Cheng
- Institute of Science and Technology for Brain-inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University)Ministry of EducationShanghaiChina
- Department of Computer ScienceUniversity of WarwickCoventryUnited Kingdom
| | - Edmund T Rolls
- Institute of Science and Technology for Brain-inspired IntelligenceFudan UniversityShanghaiChina
- Department of Computer ScienceUniversity of WarwickCoventryUnited Kingdom
- Oxford Centre for Computational NeuroscienceOxfordUnited Kingdom
| | - Trevor W Robbins
- Behavioural and Clinical Neuroscience InstituteUniversity of CambridgeCambridgeUnited Kingdom
- Department of PsychologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Weikang Gong
- Institute of Science and Technology for Brain-inspired IntelligenceFudan UniversityShanghaiChina
- University of Chinese Academy of SciencesBeijingChina
| | - Zhaowen Liu
- School of Computer Science and TechnologyXidian UniversityXi’anChina
| | - Wujun Lv
- School of MathematicsShanghai University Finance and EconomicsShanghaiChina
| | - Jingnan Du
- Institute of Science and Technology for Brain-inspired IntelligenceFudan UniversityShanghaiChina
| | - Hongkai Wen
- Department of Computer ScienceUniversity of WarwickCoventryUnited Kingdom
| | - Liang Ma
- Beijing Institute of Genomics, Chinese Academy of SciencesBeijingChina
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUnited Kingdom
| | - Hugh Garavan
- Department of PsychiatryUniversity of VermontVermontUnited States
- Department of Psychiatry PsychologyUniversity of VermontVermontUnited States
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 'Neuroimaging & Psychiatry', University Paris Sud – Paris Saclay, University Paris Descartes, Service Hospitalier Frédéric Joliot and GH Nord Essonne Psychiatry Department 91G16OrsayFrance
| | | | - Michael N Smolka
- Department of Psychiatry and Neuroimaging CenterTechnische Universität DresdenDresdenGermany
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUnited Kingdom
| | - Keith Kendrick
- Key Laboratory for Neuroinformation of the Ministry of Education, School of Life Science and Technology, Center for Information in MedicineUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University)Ministry of EducationShanghaiChina
- Department of Computer ScienceUniversity of WarwickCoventryUnited Kingdom
- School of Mathematical Sciences and Centre for Computational Systems BiologyFudan UniversityShanghaiChina
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26
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Abstract
PURPOSE OF REVIEW Neurobiological studies of tobacco/nicotine use examining genetic, molecular, functional, and behavioral correlates have improved our understanding of nicotine/tobacco dependence and have informed treatment. Recent work extending previously established findings and reporting novel methodologies and discoveries in preclinical and human studies are reviewed. RECENT FINDINGS Recent work in preclinical models has focused on the differential roles of nicotinic receptor subtypes and nicotine's effects on neural systems beyond cortico-striatal dopaminergic pathways, and utilizing advanced methodologies such as pharmacogenetics, optogenetics and rodent fMRI to identify targets for treatment. Likewise, human neuroimaging studies have identified molecular and functional dynamic shifts associated with tobacco/nicotine use that further inform treatment. SUMMARY Nicotine/tobacco use is associated with widespread neural adaptations that are persistent and function to maintain addiction. The continued identification of genetic, molecular, neural, and behavioral endophenotypes related to nicotine/tobacco use, dependence, and addiction will facilitate the development and delivery of personalized treatment.
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Affiliation(s)
- Megha Chawla
- Department of Neuroscience, Yale School of Medicine, 310 Cedar Street, Brady Memorial Laboratory #407 New Haven, CT 06510
| | - Kathleen A Garrison
- Department of Psychiatry, Yale School of Medicine, 1 Church Street #703, New Haven, CT 06510
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