1
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Paniccia JE, Vollmer KM, Green LM, Grant RI, Winston KT, Buchmaier S, Westphal AM, Clarke RE, Doncheck EM, Bordieanu B, Manusky LM, Martino MR, Ward AL, Rinker JA, McGinty JF, Scofield MD, Otis JM. Restoration of a paraventricular thalamo-accumbal behavioral suppression circuit prevents reinstatement of heroin seeking. Neuron 2024; 112:772-785.e9. [PMID: 38141605 PMCID: PMC10939883 DOI: 10.1016/j.neuron.2023.11.024] [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: 04/10/2023] [Revised: 10/17/2023] [Accepted: 11/29/2023] [Indexed: 12/25/2023]
Abstract
Lack of behavioral suppression typifies substance use disorders, yet the neural circuit underpinnings of drug-induced behavioral disinhibition remain unclear. Here, we employ deep-brain two-photon calcium imaging in heroin self-administering mice, longitudinally tracking adaptations within a paraventricular thalamus to nucleus accumbens behavioral inhibition circuit from the onset of heroin use to reinstatement. We find that select thalamo-accumbal neuronal ensembles become profoundly hypoactive across the development of heroin seeking and use. Electrophysiological experiments further reveal persistent adaptations at thalamo-accumbal parvalbumin interneuronal synapses, whereas functional rescue of these synapses prevents multiple triggers from initiating reinstatement of heroin seeking. Finally, we find an enrichment of μ-opioid receptors in output- and cell-type-specific paraventricular thalamic neurons, which provide a mechanism for heroin-induced synaptic plasticity and behavioral disinhibition. These findings reveal key circuit adaptations that underlie behavioral disinhibition in opioid dependence and further suggest that recovery of this system would reduce relapse susceptibility.
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Affiliation(s)
- Jacqueline E Paniccia
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA; Department of Anesthesia & Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Kelsey M Vollmer
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Lisa M Green
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Roger I Grant
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Kion T Winston
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Sophie Buchmaier
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Annaka M Westphal
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA; Department of Anesthesia & Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Rachel E Clarke
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA; Department of Anesthesia & Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Elizabeth M Doncheck
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Bogdan Bordieanu
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Logan M Manusky
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Michael R Martino
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Amy L Ward
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Jennifer A Rinker
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Jacqueline F McGinty
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Michael D Scofield
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA; Department of Anesthesia & Perioperative Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
| | - James M Otis
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, USA; Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425, USA; Ralph Johnson Veterans Administration, Charleston, SC 29425, USA.
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Fascher M, Nowaczynski S, Spindler C, Strobach T, Muehlhan M. Neural underpinnings of response inhibition in substance use disorders: weak meta-analytic evidence for a widely used construct. Psychopharmacology (Berl) 2024; 241:1-17. [PMID: 37987836 PMCID: PMC10774166 DOI: 10.1007/s00213-023-06498-1] [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: 07/13/2023] [Accepted: 11/01/2023] [Indexed: 11/22/2023]
Abstract
RATIONALE Substance use disorders (SUDs) rank among the most severely debilitating psychiatric conditions. Among others, decreased response inhibition capacities could make it more difficult for patients to abstain from drug use and maintain abstinence. However, meta-analyses on the neural basis of response inhibition in SUDs yielded conflicting results. OBJECTIVE In this study, we revisited the neuroimaging research field and summarized the existing fMRI literature on overt response inhibition (Go/NoGo and stop-signal paradigms) across different SUDs. METHODS We performed a systematic literature review and an activation likelihood estimation (ALE) meta-analysis to investigate the actual convergence of functional deviations observed in SUD samples. Results were further supplied by consecutive robustness measures and a post-hoc random-effects meta-analysis of behavioural data. RESULTS We identified k = 21 eligible studies for our analysis. The ALE analysis indicated a significant cluster of convergence with its statistical peak in the right anterior insula. Consecutive analyses, however, indicated this result was not robust and susceptible towards publication bias. Additionally, a post-hoc random effects meta-analysis of the behavioural parameters of Go/NoGo and stop-signal paradigms reported by the included studies revealed no significant differences in task performance comparing SUD samples and controls. CONCLUSION We discuss that the role of task-based response inhibition may require some refinement as an overarching marker for SUD pathology. Finally, we give a few prospects for future research that should be further explored in this context.
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Affiliation(s)
- Maximilian Fascher
- Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457, Hamburg, Germany.
- Medical School Hamburg, ICAN Institute for Cognitive and Affective Neuroscience, Am Kaiserkai 1, 20457, Hamburg, Germany.
| | - Sandra Nowaczynski
- Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457, Hamburg, Germany
- Medical School Hamburg, ICAN Institute for Cognitive and Affective Neuroscience, Am Kaiserkai 1, 20457, Hamburg, Germany
- Department of Addiction Medicine, Carl‑Friedrich‑Flemming‑Clinic, Helios Medical Center Schwerin, Schwerin, Germany
| | - Carolin Spindler
- Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457, Hamburg, Germany
| | - Tilo Strobach
- Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457, Hamburg, Germany
- Medical School Hamburg, ICAN Institute for Cognitive and Affective Neuroscience, Am Kaiserkai 1, 20457, Hamburg, Germany
| | - Markus Muehlhan
- Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457, Hamburg, Germany
- Medical School Hamburg, ICAN Institute for Cognitive and Affective Neuroscience, Am Kaiserkai 1, 20457, Hamburg, Germany
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3
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Cai Z, Wang P, Liu B, Zou Y, Wu S, Tian J, Dan G, Ma J, Wu G, Zhang J, Huang B. To explore the mechanism of tobacco addiction using structural and functional MRI: a preliminary study of the role of the cerebellum-striatum circuit. Brain Imaging Behav 2022; 16:834-842. [PMID: 34606038 DOI: 10.1007/s11682-021-00546-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2021] [Indexed: 10/20/2022]
Abstract
Previous studies have found that the striatum and the cerebellum played important roles in nicotine dependence, respectively. In heavy smokers, however, the effect of resting-state functional connectivity of cerebellum-striatum circuits in nicotine dependence remained unknown. This study aimed to explore the role of the circuit between the striatum and the cerebellum in addiction in heavy smokers using structural and functional magnetic resonance imaging. The grey matter volume differences and the resting-state functional connectivity differences in cerebellum-striatum circuits were investigated between 23 heavy smokers and 23 healthy controls. The cigarette dependence in heavy smokers and healthy controls were evaluated by using Fagerström Test. Then, we applied mediation analysis to test whether the resting-state functional connectivity between the striatum and the cerebellum mediates the relationship between the striatum morphometry and the nicotine dependence in heavy smokers. Compared with healthy controls, the heavy smokers' grey matter volumes decreased significantly in the cerebrum (bilateral), and increased significantly in the caudate (bilateral). Seed-based resting-state functional connectivity analysis showed significantly higher resting-state functional connectivity among the bilateral caudate, the left cerebellum, and the right middle temporal gyrus in heavy smokers. The cerebellum-striatum resting-state functional connectivity fully mediated the relationship between the striatum morphometry and the nicotine dependence in heavy smokers. Heavy smokers showed abnormal interactions and functional connectivity between the striatum and the cerebellum, which were associated with the striatum morphometry and nicotine dependence. Such findings could provide new insights into the neural correlates of nicotine dependence in heavy smokers.
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Affiliation(s)
- Zongyou Cai
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China
| | - Panying Wang
- Radiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, Shenzhen, 518055, People's Republic of China
- Shenzhen University International Cancer Center, Shenzhen, China
| | - Bihua Liu
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China
- Radiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, Shenzhen, 518055, People's Republic of China
| | - Yujian Zou
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China
| | - Songxiong Wu
- Radiology Department, Dongguan People's Hospital, Dongguan, China
| | - Junru Tian
- Radiology Department, Dongguan People's Hospital, Dongguan, China
| | - Guo Dan
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Jinting Ma
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China
| | - Guangyao Wu
- Radiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, Shenzhen, 518055, People's Republic of China.
- Shenzhen University International Cancer Center, Shenzhen, China.
| | - Jian Zhang
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China.
- Health Science Center, Shenzhen University, Shenzhen, China.
| | - Bingsheng Huang
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Room 508, Shenzhen, China.
- Shenzhen University General Hospital Clinical Research Center for Neurological Diseases, Shenzhen, China.
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Li X, Li W, Chen H, Cao N, Zhao B. Cigarette-specific disgust aroused by smoking warning images strengthens smokers' inhibitory control under smoking-related background in Go/NoGo task. Psychopharmacology (Berl) 2021; 238:2827-2838. [PMID: 34169344 DOI: 10.1007/s00213-021-05898-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 06/07/2021] [Indexed: 11/29/2022]
Abstract
RATIONALE Reduced inhibitory control is more pronounced during substance-related cue exposure among addicts. However, it is inconclusive whether smokers' inhibitory control would be impaired by smoking-related background. Furthermore, few studies explored whether the cigarette-specific disgust aroused by smoking warning images would alleviate the negative effect of smoking-related cues on smokers' inhibitory control. OBJECTIVE Experiment 1 investigated the effect of smoking-related background on inhibitory control in cigarette smokers with a modified Go/NoGo task and experiment 2 explored whether cigarette-specific disgust aroused by smoking warning images would alleviate the negative effect of smoking-related background on smokers' inhibitory control. METHOD Sixty-two male participants (32 smokers and 30 non-smokers) were recruited in experiment 1 and 51 male smokers were recruited in experiment 2. RESULTS Experiment 1 found that compared to neutral background, smokers made more commission errors (i.e., executing a response to a no-go target) under smoking-related background, indicating that smoking-related background has a negative effect on smokers' inhibitory control. Experiment 2 found that after experiencing cigarette-specific disgust, smokers made fewer commission errors at post-mood induction than pre-mood induction, indicating that cigarette-specific disgust aroused by smoking warning images alleviates the negative effect of smoking-related background on smokers' inhibitory control. CONCLUSIONS These results suggest that the negative effect of smoking-related cues on smokers' inhibitory control would be alleviated by cigarette-specific disgust aroused by smoking warning images, which emphasizes the important role of cigarette-specific disgust in strengthening smokers' inhibitory control towards smoking-related cues.
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Affiliation(s)
- Xinwei Li
- College of Education and Human Development, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321004, Zhejiang, China
| | - Weijian Li
- College of Education and Human Development, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321004, Zhejiang, China
| | - Haide Chen
- College of Education and Human Development, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321004, Zhejiang, China
| | - Ningmeng Cao
- College of Education and Human Development, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321004, Zhejiang, China
| | - Boqiang Zhao
- College of Education and Human Development, Zhejiang Normal University, 688 Yingbin Road, Jinhua, 321004, Zhejiang, China
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5
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Dong F, Li X, Zhang Y, Jia S, Zhang S, Xue T, Ren Y, Lv X, Yuan K, Yu D. Abnormal resting-state EEG power and impaired inhibition control in young smokers. Neurosci Lett 2021; 761:136120. [PMID: 34280504 DOI: 10.1016/j.neulet.2021.136120] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 07/09/2021] [Accepted: 07/14/2021] [Indexed: 11/18/2022]
Abstract
Exposure to nicotine during adolescence may cause neurophysiological changes and increase the risks of developing nicotine dependence; it can even lead to lifelong smoking. The intake of nicotine may also lead to abnormal patterns of oscillatory brain activity and inhibition control deficits. However, little is known about the specific relationship between oscillatory brain activity during the resting state and inhibition control capacity in young smokers. In the present study, we acquired resting-state electroencephalography (EEG) data from thirty-four young smokers and 39 age-matched non-smoking controls. Inhibition control performance was measured by a Go/NoGo task. Compared with non-smoking controls, we detected reduced low-frequency delta band activity in the frontal, central and posterior cortices of young smokers. Furthermore, young smokers committed more errors in response to infrequent NoGo trials. Notably, we demonstrated that delta absolute power in the frontal region was negatively correlated with NoGo errors and that alpha power in the central region was positively correlated with NoGo errors in non-smoking controls but not in young smokers. These findings may suggest that these inhibitory control processes were associated with alterations in oscillatory brain activity during the resting state. Our findings suggest that alterations of power spectra in delta bands may act as a useful biomarker of inhibitory control performance and provide a scientific basis for the diagnosis and treatment of nicotine addiction in adolescents.
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Affiliation(s)
- Fang Dong
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
| | - Xiaojian Li
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
| | - Yunmiao Zhang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
| | - Shaodi Jia
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
| | - Shidi Zhang
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
| | - Ting Xue
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
| | - Yan Ren
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
| | - Xiaoqi Lv
- College of Information Engineering, Inner Mongolia University of Technology, Hohhot, Inner Mongolia 010051, China
| | - Kai Yuan
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China; School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China.
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China.
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6
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Hildebrandt MK, Dieterich R, Endrass T. Neural correlates of inhibitory control in relation to the degree of substance use and substance-related problems - A systematic review and perspective. Neurosci Biobehav Rev 2021; 128:1-11. [PMID: 34097979 DOI: 10.1016/j.neubiorev.2021.06.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 05/11/2021] [Accepted: 06/02/2021] [Indexed: 12/28/2022]
Abstract
Inhibitory control deficits are associated with substance use disorders (SUDs) and considered a risk factor. Most studies compare SUD groups with unaffected individuals, although the degree of substance use might relate to inhibitory control deficits and explain group differences. This raises the question to which extent these deficits are specifically linked to substance-related problems. We review studies reporting associations of inhibition-related neural activation (stop signal and go/nogo task) with continuous measures of the degree of substance use and substance-related problems, and with substance-related problems controlling for the degree of substance use. Results suggest negative associations between inhibition-related neural activation and the degree of substance use, but are inconclusive on the association with substance-related problems. Nonetheless, two studies reported significant associations of inhibition-related neural activation with substance-related problems controlling for the degree of substance use. Despite numerous studies showing alterations in inhibition-related neural activation in SUDs, the role of the degree of substance use needs further investigation and studies using dimensional approaches are necessary to uncover specific links to substance-related problems.
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Affiliation(s)
- Malin K Hildebrandt
- Technische Universität Dresden, Faculty of Psychology, Institute for Clinical Psychology and Psychotherapy, Addiction Research, Germany.
| | - Raoul Dieterich
- Technische Universität Dresden, Faculty of Psychology, Institute for Clinical Psychology and Psychotherapy, Addiction Research, Germany.
| | - Tanja Endrass
- Technische Universität Dresden, Faculty of Psychology, Institute for Clinical Psychology and Psychotherapy, Addiction Research, Germany.
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7
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Qiu Z, Wang J. Altered neural activities during response inhibition in adults with addiction: a voxel-wise meta-analysis. Psychol Med 2021; 51:387-399. [PMID: 33612127 DOI: 10.1017/s0033291721000362] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Previous literature has extensively investigated the brain activity during response inhibition in adults with addiction. Inconsistent results including both hyper- and hypo-activities in the fronto-parietal network (FPN) and the ventral attention network (VAN) have been found in adults with addictions, compared with healthy controls (HCs). METHODS Voxel-wise meta-analyses of abnormal task-evoked regional activity were conducted for adults with substance dependence (SD) and behavioral addiction during response inhibition tasks to solve previous inconsistencies. Twenty-three functional magnetic resonance imaging studies including 479 substance users, 38 individuals with behavioral addiction and 494 HCs were identified. RESULTS Compared with HCs, all addictions showed hypo-activities in regions within FPN (inferior frontal gyrus and supramarginal gyrus) and VAN (inferior frontal gyrus, middle temporal gyrus, temporal pole and insula), and hyper-activities in the cerebellum during response inhibition. SD subgroup showed almost the same activity patterns, with an additional hypoactivation of the precentral gyrus, compared with HCs. Stronger activation of the cerebellum was associated with longer addiction duration for adults with SD. We could not conduct meta-analytic investigations into the behavioral addiction subgroup due to the small number of datasets. CONCLUSION This meta-analysis revealed altered activation of FPN, VAN and the cerebellum in adults with addiction during response inhibition tasks using non-addiction-related stimuli. Although FPN and VAN showed lower activity, the cerebellum exhibited stronger activity. These results may help to understand the neural pathology of response inhibition in addiction.
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Affiliation(s)
- Zeguo Qiu
- Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou510006, China
- School of Psychology, The University of Queensland, Brisbane4072, Australia
| | - Junjing Wang
- Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou510006, China
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8
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Klugah-Brown B, Di X, Zweerings J, Mathiak K, Becker B, Biswal B. Common and separable neural alterations in substance use disorders: A coordinate-based meta-analyses of functional neuroimaging studies in humans. Hum Brain Mapp 2020; 41:4459-4477. [PMID: 32964613 PMCID: PMC7555084 DOI: 10.1002/hbm.25085] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 05/18/2020] [Accepted: 05/20/2020] [Indexed: 12/12/2022] Open
Abstract
Delineating common and separable neural alterations in substance use disorders (SUD) is imperative to understand the neurobiological basis of the addictive process and to inform substance‐specific treatment strategies. Given numerous functional MRI (fMRI) studies in different SUDs, a meta‐analysis could provide an opportunity to determine robust shared and substance‐specific alterations. The present study employed a coordinate‐based meta‐analysis covering fMRI studies in individuals with addictive cocaine, cannabis, alcohol, and nicotine use. The primary meta‐analysis demonstrated common alterations in primary dorsal striatal, and frontal circuits engaged in reward/salience processing, habit formation, and executive control across different substances and task‐paradigms. Subsequent sub‐analyses revealed substance‐specific alterations in frontal and limbic regions, with marked frontal and insula‐thalamic alterations in alcohol and nicotine use disorders respectively. Examining task‐specific alterations across substances revealed pronounced frontal alterations during cognitive processes yet stronger striatal alterations during reward‐related processes. Finally, an exploratory meta‐analysis revealed that neurofunctional alterations in striatal and frontal reward processing regions can already be determined with a high probability in studies with subjects with comparably short durations of use. Together the findings emphasize the role of dysregulations in frontostriatal circuits and dissociable contributions of these systems in the domains of reward‐related and cognitive processes which may contribute to substance‐specific behavioral alterations.
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Affiliation(s)
- Benjamin Klugah-Brown
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
| | - Jana Zweerings
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,JARA Translational Brain Medicine, RWTH Aachen, Aachen, Germany
| | - Klaus Mathiak
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,JARA Translational Brain Medicine, RWTH Aachen, Aachen, Germany
| | - Benjamin Becker
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Bharat Biswal
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
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9
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Akbari M, Hasani J, Seydavi M. Negative affect among daily smokers: A systematic review and meta-analysis. J Affect Disord 2020; 274:553-567. [PMID: 32663988 DOI: 10.1016/j.jad.2020.05.063] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 04/02/2020] [Accepted: 05/13/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Negative Affect (NA), as a personality trait is a tendency towards experiencing a more negative emotion. The body of research suggests that NA encourages smoking relapse and smoking as a reason for NA reduction, though. The likelihood of this connection does not seem to be bright yet. The present study critically reviews researches to synthesize the existing literature to determine the strength of this linkage. METHODS Key-word related research was systematically searched in PubMed, PsychINFO, Science Direct and Google Scholar for studies conducted from 1980 to 2019, followed by, the assessment and selection of retrieved studies based on defined inclusion criteria. A random-effects meta-analysis model was used to examine the prospective relationship between NA and smoking. Meta-regression was also used to dig for possible explanations of heterogeneity. Furthermore a multi-moderators model and sub-group analyses examined the moderating factors. RESULTS Forty effect-sizes comprising 12 cross-sectional studies, 28 longitudinal studies and 24,913 participants were included in the meta-analysis. The forest plot of the pooled correlation effect size in the random model indicates a significant effect size of the relationship between NA and smoking (r = 0.11; 95%CI 0.071-0.15, P = 0.001) in the meta-analysis with high heterogeneity (Q = 473.916; df=39; P = 0.001; I2=91.77%). Also, the pooled effect size was obtained as 0.143 (95%CI 0.071-0.214) for light-to-moderate and 0.112 (95%CI 0.057-0.166) for moderate-to-heavy smokers, with the effect size ranging from 0.061 to 0.195 which was significant among all subtypes, though this trend seem higher among adolescents, males, and longitudinal studies than in adults, females, and cross-sectional studies. LIMITATIONS The review was limited to English articles, and the heterogeneity of the studies were high. CONCLUSION These results support the notion that NA was positively and weakly linked to smoking and this linkage is stronger in light-to-moderate smokers, males, and adolescents. Theoretical and clinical implications are discussed with the aim of extending future directions on NA and smoking.
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Affiliation(s)
- Mehdi Akbari
- Clinical Psychology, Faculty of Psychology and Education, Department of Clinical Psychology, Kharazmi University, Tehran, Iran.
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10
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Chaarani B, Spechler PA, Ivanciu A, Snowe M, Nickerson JP, Higgins ST, Garavan H. Multimodal Neuroimaging Differences in Nicotine Abstinent Smokers Versus Satiated Smokers. Nicotine Tob Res 2020; 21:755-763. [PMID: 29660044 DOI: 10.1093/ntr/nty070] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Accepted: 04/05/2018] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Research on cigarette smokers suggests cognitive and behavioral impairments. However, much remains unclear how the functional neurobiology of smokers is influenced by nicotine state. Therefore, we sought to determine which state, be it acute nicotine abstinence or satiety, would yield the most robust differences compared with nonsmokers when assessing neurobiological markers of nicotine dependence. METHODS Smokers (N = 15) and sociodemographically matched nonsmokers (N = 15) were scanned twice using a repeated-measures design. Smokers were scanned after a 24-hour nicotine abstinence and immediately after smoking their usual brand cigarette. The neuroimaging battery included a stop-signal task of response inhibition and pseudocontinuous arterial spin labeling to measure cerebral blood flow (CBF). Whole-brain voxel-wise analyses of covariance were carried out on stop success and stop fail Stop-Signal Task contrasts and CBF maps to assess differences among nonsmokers, abstinent smokers, and satiated smokers. Cluster correction was performed using AFNI's 3dClustSim to achieve a significance of p < .05. RESULTS Smokers exhibited higher brain activation in bilateral inferior frontal gyrus, a brain region known to be involved in inhibitory control, during successful response inhibitions relative to nonsmokers. This effect was significantly higher during nicotine abstinence relative to satiety. Smokers also exhibited lower CBF in the bilateral inferior frontal gyrus than nonsmokers. These hypoperfusions were not different between abstinence and satiety. CONCLUSIONS These findings converge on alterations in smokers in prefrontal circuits known to be critical for inhibitory control. These effects are present, even when smokers are satiated, but the neural activity required to achieve performance equal to controls is increased when smokers are in acute abstinence. IMPLICATIONS Our multimodal neuroimaging study gives neurobiological insights into the cognitive demands of maintaining abstinence and suggests targets for assessing the efficacy of therapeutic interventions.
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Affiliation(s)
- Bader Chaarani
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, VT
| | - Philip A Spechler
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, VT
| | - Alexandra Ivanciu
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, VT
| | - Mitchell Snowe
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, VT
| | | | - Stephen T Higgins
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, VT
| | - Hugh Garavan
- Vermont Center on Behavior and Health, Department of Psychiatry, University of Vermont, Burlington, VT
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11
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Lesage E, Sutherland MT, Ross TJ, Salmeron BJ, Stein EA. Nicotine dependence (trait) and acute nicotinic stimulation (state) modulate attention but not inhibitory control: converging fMRI evidence from Go-Nogo and Flanker tasks. Neuropsychopharmacology 2020; 45:857-865. [PMID: 31995811 PMCID: PMC7075893 DOI: 10.1038/s41386-020-0623-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 12/29/2019] [Accepted: 01/17/2020] [Indexed: 12/29/2022]
Abstract
Cognitive deficits during nicotine withdrawal may contribute to smoking relapse. However, interacting effects of chronic nicotine dependence and acute nicotine withdrawal on cognitive control are poorly understood. Here we examine the effects of nicotine dependence (trait; smokers (n = 24) vs. non-smoking controls; n = 20) and acute nicotinic stimulation (state; administration of nicotine and varenicline, two FDA-approved smoking cessation aids, during abstinence), on two well-established tests of inhibitory control, the Go-Nogo task and the Flanker task, during fMRI scanning. We compared performance and neural responses between these four pharmacological manipulations in a double-blind, placebo-controlled crossover design. As expected, performance in both tasks was modulated by nicotine dependence, abstinence, and pharmacological manipulation. However, effects were driven entirely by conditions that required less inhibitory control. When demand for inhibitory control was high, abstinent smokers showed no deficits. By contrast, acutely abstinent smokers showed performance deficits in easier conditions and missed more trials. Go-Nogo fMRI results showed decreased inhibition-related neural activity in right anterior insula and right putamen in smokers and decreased dorsal anterior cingulate cortex activity on nicotine across groups. No effects were found on inhibition-related activity during the Flanker task or on error-related activity in either task. Given robust nicotinic effects on physiology and behavioral deficits in attention, we are confident that pharmacological manipulations were effective. Thus findings fit a recent proposal that abstinent smokers show decreased ability to divert cognitive resources at low or intermediate cognitive demand, while performance at high cognitive demand remains relatively unaffected, suggesting a primary attentional deficit during acute abstinence.
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Affiliation(s)
- E Lesage
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
- Department of Experimental Psychology, Gent University, Ghent, Belgium
| | - M T Sutherland
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
- Department of Psychology, Florida International University, Miami, FL, USA
| | - T J Ross
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | - B J Salmeron
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | - E A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
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12
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Donohue SE, Harris JA, Loewe K, Hopf J, Heinze H, Woldorff MG, Schoenfeld MA. Electroencephalography reveals a selective disruption of cognitive control processes in craving cigarette smokers. Eur J Neurosci 2020; 51:1087-1105. [DOI: 10.1111/ejn.14622] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 10/20/2019] [Accepted: 11/12/2019] [Indexed: 11/30/2022]
Affiliation(s)
- Sarah E. Donohue
- Department of Neurology Otto‐von‐Guericke University Magdeburg Magdeburg Germany
- Leibniz Institute for Neurobiology Magdeburg Germany
| | - Joseph A. Harris
- Department of Neurology Otto‐von‐Guericke University Magdeburg Magdeburg Germany
- Leibniz Institute for Neurobiology Magdeburg Germany
- Department of Psychology Bradley University Peoria IL USA
| | - Kristian Loewe
- Department of Neurology Otto‐von‐Guericke University Magdeburg Magdeburg Germany
- Department of Computer Science Otto‐von‐Guericke University Magdeburg Germany
| | - Jens‐Max Hopf
- Department of Neurology Otto‐von‐Guericke University Magdeburg Magdeburg Germany
- Leibniz Institute for Neurobiology Magdeburg Germany
| | - Hans‐Jochen Heinze
- Department of Neurology Otto‐von‐Guericke University Magdeburg Magdeburg Germany
- Leibniz Institute for Neurobiology Magdeburg Germany
| | - Marty G. Woldorff
- Department of Neurology Otto‐von‐Guericke University Magdeburg Magdeburg Germany
- Leibniz Institute for Neurobiology Magdeburg Germany
- Center for Cognitive Neuroscience Duke University Durham NC USA
- Department of Psychiatry and Behavioral Sciences Duke University Durham NC USA
- Department of Psychology and Neuroscience Duke University Durham NC USA
| | - Mircea A. Schoenfeld
- Department of Neurology Otto‐von‐Guericke University Magdeburg Magdeburg Germany
- Leibniz Institute for Neurobiology Magdeburg Germany
- Kliniken Schmieder Heidelberg Germany
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13
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Xu B, Chen L, Lee JH. Smoking and alcohol drinking and risk of non-union or delayed union after fractures: A protocol for systematic review and dose-response meta-analysis. Medicine (Baltimore) 2020; 99:e18744. [PMID: 32000378 PMCID: PMC7004580 DOI: 10.1097/md.0000000000018744] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION To the best of our knowledge, there is no consensus on dose-response between smoking, alcohol drinking, and bone healing. The aim of the present study is to conduct a comprehensive systematic review and dose-response meta-analysis of studies to estimate the influence of smoking and alcohol use on the success of non-pathologic bone fracture healing in adult patients. METHODS A systematic search will be performed using MEDLINE, EMBASE and Cochrane CENTRAL, CINAHL, and AMED databases to identify randomized controlled trials and observational studies which have assessed the effect of smoking or alcohol drinking on fracture healing. Primary outcomes include delayed union or nonunion rate and time to union. Secondary outcomes are common complications which occur during bone healing including malunion and wound infection. Risk of bias will be evaluated using the Quality In Prognosis Studies (QUIPS) tool for quality assessment of each study. Dose-response meta-analysis will be performed between smoking, alcohol drinking, and bone healing. Evaluation of the quality of evidence will be conducted using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. RESULTS The present study will assess the effects of smoking and alcohol drinking on non-pathologic bone fracture healing in adult patients. CONCLUSION We hope that this systematic review and dose-response meta-analysis will provide high quality evidence on dose-response between smoking, alcohol drinking, and bone fracture healing. PROSPERO REGISTRATION NUMBER CRD42019131454.
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Affiliation(s)
- Bin Xu
- Department of Orthopedic Surgery, College of Medicine, Seoul National University, Seoul, Republic of Korea
- Department of Orthopedic Surgery, Tianjin Hospital, Tianjin University, Tianjin, China
| | - Lingxiao Chen
- Institute of Bone and Joint Research, Kolling Institute, Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Jae Hyup Lee
- Department of Orthopedic Surgery, College of Medicine, Seoul National University, Seoul, Republic of Korea
- Department of Orthopedic Surgery, SMG-SNU Boramae Medical Center
- Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Medical Research Center, Seoul, Republic of Korea
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Umberger W, Gaddis L. The Science of Addiction Through the Lens of Opioid Treatment for Chronic Noncancer Pain. Pain Manag Nurs 2019; 21:57-64. [PMID: 31606310 DOI: 10.1016/j.pmn.2019.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 08/05/2019] [Accepted: 09/05/2019] [Indexed: 10/25/2022]
Abstract
Addiction is a chronic, relapsing brain disease. It is not the same as physical dependence (i.e., withdrawal) and tolerance, but is characterized by loss of control over the use of the substance, continued use despite consequences, compulsive use, and cravings. Addiction involves functional changes to brain pathways involved in reward, stress and learning, and these changes can last a long time after the addictive substance is no longer used. Repeated interruption of normal brain function from repetitive use of addictive substances can hijack normal reward mechanisms resulting in fundamental alterations in brain structure and function. Over time, addictive substances can bring about a false fixed prediction error that cannot be rectified during learning. And, for individuals who develop an addiction, initial impulsive drug use progresses to compulsive drug use and this progression also has neurobiological underpinnings. Drug addiction is partly heritable, although there is no single gene coding specifically for the disease of addiction. Genetic factors contribute to a vulnerability to develop both addiction and addiction comorbidities, and play an appreciable role in responses to and metabolism of addictive substances, and most likely, the experience of rewarding effects. Patients with pain who are addicted to opioids have, in addition to the pain disorder, a chronic relapsing brain disease that can be life-threatening. Addiction can be treated and controlled, but not cured. Treatment of pain in individuals with addiction is a complex clinical challenge. Holistic assessment, interprofessional approaches, use of established guidelines, and non-pharmacological complementary modalities are needed.
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Affiliation(s)
- Wendy Umberger
- College of Nursing, Kent State University, Kent, Ohio, USA.
| | - Lynn Gaddis
- College of Nursing, Kent State University, Kent, Ohio, USA
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15
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Shen Z, Huang P, Wang C, Qian W, Yang Y, Zhang M. Cerebellar Gray Matter Reductions Associate With Decreased Functional Connectivity in Nicotine-Dependent Individuals. Nicotine Tob Res 2019; 20:440-447. [PMID: 29065207 DOI: 10.1093/ntr/ntx168] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 07/25/2017] [Indexed: 01/19/2023]
Abstract
Introduction Nicotine dependence (ND) is a chronic, relapsing mental disorder characterized by compulsive cigarette seeking and smoking. Although the cerebellum plays an increasingly implicated role in ND, the exact cerebellar alterations in ND remain unclear. Identifying the localization of these cerebellar abnormalities in ND may help to further understand the role of the cerebellum in ND. Thus, we investigated the structural and functional alterations in the cerebellum in a large sample of smokers using the spatially unbiased infratentorial template (SUIT). Methods High-resolution structural magnetic resonance imaging (MRI) data were acquired from 85 smokers and 41 nonsmokers. We applied voxel-based morphometry (VBM) and the SUIT cerebellar atlas to compare the cerebellar gray matter (GM) volume between smokers and nonsmokers. Using resting-state functional MRI data, we also performed seed-based functional connectivity (FC) analysis to examine the functional correlates of the GM volume changes. Results Both VBM and lobular analyses revealed smaller GM volume in the bilateral Crus I in smokers. The GM volume of the left Crus I was inversely correlated with the severity of nicotine dependence as assessed by Fagerström Test for Nicotine Dependence (r = -.268, p = .013). We also found reduced FC between the bilateral Crus I and brain regions involved in the default mode network and motor system, as well as the frontal and temporal cortex in smokers. Conclusions Our results indicate that decreased cerebellar GM volume and corticocerebellar FC are associated with ND, and these may underlie the core ND phenotypes, including automatized smoking behavior, cognitive, and emotional deficits. Implications As smoking remains a worldwide public health problem, identifying the related neural alterations may help to understand the pathophysiology of ND. Based on previous findings in the cerebellum, we investigated the localization of the GM differences and related FC changes in ND subjects. Our findings highlight altered corticocerebellar circuits in ND, suggesting an association between the cerebellum and the phenotypes of ND.
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Affiliation(s)
- Zhujing Shen
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chao Wang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Qian
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Huang AS, Mitchell JA, Haber SN, Alia-Klein N, Goldstein RZ. The thalamus in drug addiction: from rodents to humans. Philos Trans R Soc Lond B Biol Sci 2019; 373:rstb.2017.0028. [PMID: 29352027 DOI: 10.1098/rstb.2017.0028] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2017] [Indexed: 02/07/2023] Open
Abstract
Impairments in response inhibition and salience attribution (iRISA) have been proposed to underlie the clinical symptoms of drug addiction as mediated by cortico-striatal-thalamo-cortical networks. The bulk of evidence supporting the iRISA model comes from neuroimaging research that has focused on cortical and striatal influences with less emphasis on the role of the thalamus. Here, we highlight the importance of the thalamus in drug addiction, focusing on animal literature findings on thalamic nuclei in the context of drug-seeking, structural and functional changes of the thalamus as measured by imaging studies in human drug addiction, particularly during drug cue and non-drug reward processing, and response inhibition tasks. Findings from the animal literature suggest that the paraventricular nucleus of the thalamus, the lateral habenula and the mediodorsal nucleus may be involved in the reinstatement, extinction and expression of drug-seeking behaviours. In support of the iRISA model, the human addiction imaging literature demonstrates enhanced thalamus activation when reacting to drug cues and reduced thalamus activation during response inhibition. This pattern of response was further associated with the severity of, and relapse in, drug addiction. Future animal studies could widen their field of focus by investigating the specific role(s) of different thalamic nuclei in different phases of the addiction cycle. Similarly, future human imaging studies should aim to specifically delineate the structure and function of different thalamic nuclei, for example, through the application of advanced imaging protocols at higher magnetic fields (7 Tesla).This article is part of a discussion meeting issue 'Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists'.
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Affiliation(s)
- Anna S Huang
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Suzanne N Haber
- Department of Pharmacology and Physiology, School of Medicine, University of Rochester, Rochester, NY, USA
| | - Nelly Alia-Klein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rita Z Goldstein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA .,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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17
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Bernardes G, IJzerman RG, Ten Kulve JS, Barkhof F, Diamant M, Veltman DJ, Landeira-Fernandez J, van Bloemendaal L, van Duinkerken E. Cortical and subcortical gray matter structural alterations in normoglycemic obese and type 2 diabetes patients: relationship with adiposity, glucose, and insulin. Metab Brain Dis 2018; 33:1211-1222. [PMID: 29654499 PMCID: PMC6060745 DOI: 10.1007/s11011-018-0223-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 03/26/2018] [Indexed: 01/16/2023]
Abstract
Type 2 diabetes (T2DM) is associated with structural cortical and subcortical alterations, although it is insufficiently clear if these alterations are driven by obesity or by diabetes and its associated complications. We used FreeSurfer5.3 and FSL-FIRST to determine cortical thickness, volume and surface area, and subcortical gray matter volume in a group of 16 normoglycemic obese subjects and 28 obese T2DM patients without clinically manifest micro- and marcoangiopathy, and compared them to 31 lean normoglycemic controls. Forward regression analysis was used to determine demographic and clinical correlates of altered (sub)cortical structure. Exploratively, vertex-wise correlations between cortical structure and fasting glucose and insulin were calculated. Compared with controls, obese T2DM patients showed lower right insula thickness and lower left lateral occipital surface area (PFWE < 0.05). Normoglycemic obese versus controls had lower thickness (PFWE < 0.05) in the right insula and inferior frontal gyrus, and higher amygdala and thalamus volume. Thalamus volume and left paracentral surface area were also higher in this group compared with obese T2DM patients. Age, sex, BMI, fasting glucose, and cholesterol were related to these (sub)cortical alterations in the whole group (all P < 0.05). Insulin were related to temporal and frontal structural deficits (all PFWE < 0.05). Parietal/occipital structural deficits may constitute early T2DM-related cerebral alterations, whereas in normoglycemic obese subjects, regions involved in emotion, appetite, satiety regulation, and inhibition were affected. Central adiposity and elevated fasting glucose may constitute risk factors.
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Affiliation(s)
- Gabriel Bernardes
- Department of Psychology, Pontifíca Universidade Católica - Rio de Janeiro, Rua Marquês de São Vincente, 225, Gávea, Rio de Janeiro, RJ, 22451-900, Brazil
| | - Richard G IJzerman
- Amsterdam Diabetes Center/Department of Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Jennifer S Ten Kulve
- Amsterdam Diabetes Center/Department of Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Michaela Diamant
- Amsterdam Diabetes Center/Department of Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Dick J Veltman
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - Jesus Landeira-Fernandez
- Department of Psychology, Pontifíca Universidade Católica - Rio de Janeiro, Rua Marquês de São Vincente, 225, Gávea, Rio de Janeiro, RJ, 22451-900, Brazil
| | - Liselotte van Bloemendaal
- Amsterdam Diabetes Center/Department of Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Eelco van Duinkerken
- Department of Psychology, Pontifíca Universidade Católica - Rio de Janeiro, Rua Marquês de São Vincente, 225, Gávea, Rio de Janeiro, RJ, 22451-900, Brazil.
- Amsterdam Diabetes Center/Department of Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands.
- Department of Medical Psychology, VU University Medical Center, Amsterdam, The Netherlands.
- Center for Epilepsy, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, RJ, Brazil.
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Gordon HW. Differential Activation of the Left and Right Cerebral Hemispheres of Individuals Who Use or are Dependent on Drugs of Abuse. ACTA ACUST UNITED AC 2018; 4. [PMID: 30090867 PMCID: PMC6078424 DOI: 10.21767/2471-853x.100077] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Introduction: The left and right cerebral hemispheres are not equivalent in performance of cognitive functions associated with risk factors of drug abuse, nor is their development equivalently affected by drugs of abuse. The question addressed here is whether drugs of abuse affect cognitive function as assessed by brain activation, in particular related to impulsivity, and/or whether weaker brain activation associated with impulsivity increases the risk of drug abuse. Methodology: Using PubMed and key words, articles were selected that addressed brain activation in individuals who used or abused one of the psychoactive drugs. Findings are summarized. Results: For each of the drugs, hypoactivation was found. In some cases this reduced activation was reported predominantly for the right or both hemispheres. There were fewer reports for the left hemisphere. Discussion and Conclusion: Rarely do authors focus on why only one or the other hemisphere is affected or why specific structures are affected. Neurobiological differences between the hemispheres and among various brain structures could provide clues to the specific effect of drugs. Increased attention to this gap in research will give additional insights into the etiology of drug abuse and provide direction for treatment.
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Affiliation(s)
- Harold W Gordon
- Epidemiology Research Branch, Division of Epidemiology, Services, and Prevention Research (DESPR), National Institute on Drug Abuse, USA
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Affiliation(s)
- Patricia Boksa
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Que., Canada
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