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Gunn MP, Rose GM, Whitton AE, Pizzagalli DA, Gilbert DG. Smoking Progression and Nicotine-Enhanced Reward Sensitivity Predicted by Resting-State Functional Connectivity in Salience and Executive Control Networks. Nicotine Tob Res 2024; 26:1305-1312. [PMID: 38624067 PMCID: PMC11417123 DOI: 10.1093/ntr/ntae084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 03/14/2024] [Accepted: 04/08/2024] [Indexed: 04/17/2024]
Abstract
INTRODUCTION The neural underpinnings underlying individual differences in nicotine-enhanced reward sensitivity (NERS) and smoking progression are poorly understood. Thus, we investigated whether brain resting-state functional connectivity (rsFC.) during smoking abstinence predicts NERS and smoking progression in young light smokers. We hypothesized that high rsFC between brain areas with high densities of nicotinic receptors (insula, anterior cingulate cortex [ACC], hippocampus, thalamus) and areas involved in reward-seeking (nucleus accumbens [NAcc], prefrontal cortex [PFC]) would predict NERS and smoking progression. AIMS AND METHODS Young light smokers (N = 64, age 18-24, M = 1.89 cigarettes/day) participated in the study. These individuals smoked between 5 and 35 cigarettes per week and lifetime use never exceeded 35 cigarettes per week. Their rsFC was assessed using functional magnetic resonance imaging after 14 hours of nicotine deprivation. Subjects also completed a probabilistic reward task after smoking a placebo on 1 day and a regular cigarette on another day. RESULTS The probabilistic-reward-task assessed greater NERS was associated with greater rsFC between the right anterior PFC and right NAcc, but with reduced rsFC between the ACC and left inferior prefrontal gyrus and the insula and ACC. Decreased rsFC within the salience network (ACC and insula) predicted increased smoking progression across 18 months and greater NERS. CONCLUSIONS These findings provide the first evidence that differences in rsFCs in young light smokers are associated with nicotine-enhanced reward sensitivity and smoking progression. CLINICAL TRIAL REGISTRATION NCT02129387 (preregistered hypothesis: www.clinicaltrials.gov). IMPLICATIONS Weaker rsFC within the salience network predicted greater NERS and smoking progression. These findings suggest that salience network rsFC and drug-enhanced reward sensitivity may be useful tools and potential endophenotypes for reward sensitivity and drug-dependence research.
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Affiliation(s)
- Matthew P Gunn
- Department of Psychology, Southern Illinois University, Carbondale, IL, USA
| | - Gregory M Rose
- Department of Anatomy, Southern Illinois University School of Medicine, Carbondale, IL, USA
| | - Alexis E Whitton
- Division of Medical Science, McLean Hospital & Harvard Medical School, Boston, MA, USA
- Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - Diego A Pizzagalli
- Division of Medical Science, McLean Hospital & Harvard Medical School, Boston, MA, USA
| | - David G Gilbert
- Department of Psychology, Southern Illinois University, Carbondale, IL, USA
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Panagopoulos VN, Bailey A, Kostopoulos GK, Ioannides AA. Changes in distinct brain systems identified with fMRI during smoking cessation treatment with varenicline: a review. Psychopharmacology (Berl) 2024; 241:653-685. [PMID: 38430396 DOI: 10.1007/s00213-024-06556-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 02/15/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND Varenicline is considered one of the most effective treatment options for smoking cessation. Nonetheless, it is only modestly effective. A deeper comprehension of the effects of varenicline by means of the in-depth review of relevant fMRI studies may assist in paving the development of more targeted and effective treatments. METHODOLOGY A search of PubMed and Google Scholar databases was conducted with the keywords "functional magnetic resonance imaging" or "fMRI", and "varenicline". All peer-reviewed articles regarding the assessment of smokers with fMRI while undergoing treatment with varenicline and meeting the predefined criteria were included. RESULTS Several studies utilizing different methodologies and targeting different aspects of brain function were identified. During nicotine withdrawal, decreased mesocorticolimbic activity and increased amygdala activity, as well as elevated amygdala-insula and insula-default-mode-network functional connectivity are alleviated by varenicline under specific testing conditions. However, other nicotine withdrawal-induced changes, including the decreased reward responsivity of the ventral striatum, the bilateral dorsal striatum and the anterior cingulate cortex are not influenced by varenicline suggesting a task-dependent divergence in neurocircuitry activation. Under satiety, varenicline treatment is associated with diminished cue-induced activation of the ventral striatum and medial orbitofrontal cortex concomitant with reduced cravings; during the resting state, varenicline induces activation of the lateral orbitofrontal cortex and suppression of the right amygdala. CONCLUSIONS The current review provides important clues with regard to the neurobiological mechanism of action of varenicline and highlights promising research opportunities regarding the development of more selective and effective treatments and predictive biomarkers for treatment efficacy.
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Affiliation(s)
- Vassilis N Panagopoulos
- Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus.
- Department of Physiology, Medical School, University of Patras, Patras, Greece.
| | - Alexis Bailey
- Pharmacology Section, St. George's University of London, London, UK
| | | | - Andreas A Ioannides
- Laboratory for Human Brain Dynamics, AAI Scientific Cultural Services Ltd., Nicosia, Cyprus
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Tosti B, Corrado S, Mancone S, Di Libero T, Rodio A, Andrade A, Diotaiuti P. Integrated use of biofeedback and neurofeedback techniques in treating pathological conditions and improving performance: a narrative review. Front Neurosci 2024; 18:1358481. [PMID: 38567285 PMCID: PMC10985214 DOI: 10.3389/fnins.2024.1358481] [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: 12/19/2023] [Accepted: 03/01/2024] [Indexed: 04/04/2024] Open
Abstract
In recent years, the scientific community has begun tо explore the efficacy оf an integrated neurofeedback + biofeedback approach іn various conditions, both pathological and non-pathological. Although several studies have contributed valuable insights into its potential benefits, this review aims tо further investigate its effectiveness by synthesizing current findings and identifying areas for future research. Our goal іs tо provide a comprehensive overview that may highlight gaps іn the existing literature and propose directions for subsequent studies. The search for articles was conducted on the digital databases PubMed, Scopus, and Web of Science. Studies to have used the integrated neurofeedback + biofeedback approach published between 2014 and 2023 and reviews to have analyzed the efficacy of neurofeedback and biofeedback, separately, related to the same time interval and topics were selected. The search identified five studies compatible with the objectives of the review, related to several conditions: nicotine addiction, sports performance, Autism Spectrum Disorder (ASD), and Attention Deficit Hyperactivity Disorder (ADHD). The integrated neurofeedback + biofeedback approach has been shown to be effective in improving several aspects of these conditions, such as a reduction in the presence of psychiatric symptoms, anxiety, depression, and withdrawal symptoms and an increase in self-esteem in smokers; improvements in communication, imitation, social/cognitive awareness, and social behavior in ASD subjects; improvements in attention, alertness, and reaction time in sports champions; and improvements in attention and inhibitory control in ADHD subjects. Further research, characterized by greater methodological rigor, is therefore needed to determine the effectiveness of this method and the superiority, if any, of this type of training over the single administration of either. This review іs intended tо serve as a catalyst for future research, signaling promising directions for the advancement оf biofeedback and neurofeedback methodologies.
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Affiliation(s)
- Beatrice Tosti
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
| | - Stefano Corrado
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
| | - Stefania Mancone
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
| | - Tommaso Di Libero
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
| | - Angelo Rodio
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
| | - Alexandro Andrade
- Department of Physical Education, CEFID, Santa Catarina State University, Florianopolis, Santa Catarina, Brazil
| | - Pierluigi Diotaiuti
- Department of Human Sciences, Society and Health, University of Cassino, Cassino, Lazio, Italy
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Du X, Choa FS, Chiappelli J, Bruce H, Kvarta M, Summerfelt A, Ma Y, Regenold WT, Walton K, Wittenberg GF, Hare S, Gao S, van der Vaart A, Zhao Z, Chen S, Kochunov P, Hong LE. Combining neuroimaging and brain stimulation to test alternative causal pathways for nicotine addiction in schizophrenia. Brain Stimul 2024; 17:324-332. [PMID: 38453003 DOI: 10.1016/j.brs.2024.02.020] [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: 10/20/2023] [Revised: 02/23/2024] [Accepted: 02/28/2024] [Indexed: 03/09/2024] Open
Abstract
The smoking rate is high in patients with schizophrenia. Brain stimulation targeting conventional brain circuits associated with nicotine addiction has also yielded mixed results. We aimed to identify alternative circuitries associated with nicotine addiction in both the general population and schizophrenia, and then test whether modulation of such circuitries may alter nicotine addiction behaviors in schizophrenia. In Study I of 40 schizophrenia smokers and 51 non-psychiatric smokers, cross-sectional neuroimaging analysis identified resting state functional connectivity (rsFC) between the dorsomedial prefrontal cortex (dmPFC) and multiple extended amygdala regions to be most robustly associated with nicotine addiction severity in healthy controls and schizophrenia patients (p = 0.006 to 0.07). In Study II with another 30 patient smokers, a proof-of-concept, patient- and rater-blind, randomized, sham-controlled rTMS design was used to test whether targeting the newly identified dmPFC location may causally enhance the rsFC and reduce nicotine addiction in schizophrenia. Although significant interactions were not observed, exploratory analyses showed that this dmPFC-extended amygdala rsFC was enhanced by 4-week active 10Hz rTMS (p = 0.05) compared to baseline; the severity of nicotine addiction showed trends of reduction after 3 and 4 weeks (p ≤ 0.05) of active rTMS compared to sham; Increased rsFC by active rTMS predicted reduction of cigarettes/day (R = -0.56, p = 0.025 uncorrected) and morning smoking severity (R = -0.59, p = 0.016 uncorrected). These results suggest that the dmPFC-extended amygdala circuit may be linked to nicotine addiction in schizophrenia and healthy individuals, and future efforts targeting its underlying pathophysiological mechanisms may yield more effective treatment for nicotine addiction.
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Affiliation(s)
- Xiaoming Du
- Louis A. Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Fow-Sen Choa
- Department of Electrical Engineering and Computer Science, University of Maryland Baltimore County, Baltimore, MD, USA
| | - Joshua Chiappelli
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mark Kvarta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ann Summerfelt
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Yizhou Ma
- Louis A. Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - William T Regenold
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, Division of Intramural Research Program, National Institute of Mental Health, National Institutes of Health, NIH Clinical Center, Bethesda, MD, USA
| | - Kevin Walton
- Clinical Research Grants Branch, Division of Therapeutics and Medical Consequences, National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA
| | - George F Wittenberg
- Human Engineering Research Laboratories, VA RR&D Center of Excellence, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA; Rehabilitation Neural Engineering Laboratories, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Stephanie Hare
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Si Gao
- Louis A. Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Andrew van der Vaart
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Zhiwei Zhao
- Department of Mathematics, University of Maryland, College Park, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peter Kochunov
- Louis A. Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - L Elliot Hong
- Louis A. Faillace Department of Psychiatry and Behavioral Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
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Li X, Caulfield KA, Hartwell KJ, Henderson S, Brady KT, George MS. Reduced executive and reward connectivity is associated with smoking cessation response to repetitive transcranial magnetic stimulation: A double-blind, randomized, sham-controlled trial. Brain Imaging Behav 2024; 18:207-219. [PMID: 37996557 PMCID: PMC11005027 DOI: 10.1007/s11682-023-00820-3] [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] [Accepted: 10/30/2023] [Indexed: 11/25/2023]
Abstract
Repetitive transcranial magnetic stimulation (rTMS) can reduce cue-elicited craving, decrease cigarette consumption, and increase the abstinence rate in tobacco use disorders (TUDs). We used functional magnetic resonance imaging (fMRI) to investigate the effect of 10 sessions of rTMS on cortical activity and neural networks in treatment-seeking smokers. Smoking cue exposure fMRI scans were acquired before and after the 10 sessions of active or sham rTMS (10 Hz, 3000 pulses per session) to the left dorsal lateral prefrontal cortex (DLPFC) in 42 treatment-seeking smokers (≥ 10 cigarettes per day). Brain activity and functional connectivity were compared before and after 10 sessions of rTMS. Ten sessions of rTMS significantly reduced the number of cigarettes consumed per day (62.93%) compared to sham treatment (39.43%) at the end of treatment (p = 0.027). fMRI results showed that the rTMS treatment increased brain activity in the dorsal anterior cingulate cortex (dACC) and DLPFC, but decreased brain activity in the bilateral medial orbitofrontal cortex (mOFC). The lower strength of dACC and mOFC connectivity was associated with quitting smoking (Wald score = 5.00, p = 0.025). The reduction of cigarette consumption significantly correlated with the increased brain activation in the dACC (r = 0.76, p = 0.0001). By increasing the brain activity in the dACC and prefrontal cortex and decreasing brain activity in the mOFC, 10 sessions of rTMS significantly reduced cigarette consumption and increased quit rate. Reduced drive-reward and executive control functional connectivity was associated with the smoking cessation effect from rTMS. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02401672.
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Affiliation(s)
- Xingbao Li
- Brain Stimulation Division, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, 29425, USA.
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, 29425, USA.
| | - Kevin A Caulfield
- Brain Stimulation Division, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Karen J Hartwell
- Brain Stimulation Division, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, 29425, USA
- Ralph H. Johnson VA Medical Center, Charleston, SC, 29425, USA
| | - Scott Henderson
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Kathleen T Brady
- Brain Stimulation Division, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, 29425, USA
- Ralph H. Johnson VA Medical Center, Charleston, SC, 29425, USA
| | - Mark S George
- Brain Stimulation Division, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, 29425, USA
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, 29425, USA
- Ralph H. Johnson VA Medical Center, Charleston, SC, 29425, USA
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Burke T, Holleran L, Mothersill D, Lyons J, O'Rourke N, Gleeson C, Cannon DM, McKernan DP, Morris DW, Kelly JP, Hallahan B, McDonald C, Donohoe G. Bilateral anterior corona radiata microstructure organisation relates to impaired social cognition in schizophrenia. Schizophr Res 2023; 262:87-94. [PMID: 37931564 DOI: 10.1016/j.schres.2023.10.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 09/25/2023] [Accepted: 10/28/2023] [Indexed: 11/08/2023]
Abstract
OBJECTIVE The Corona Radiata (CR) is a large white matter tract in the brain comprising of the anterior CR (aCR), superior CR (sCR), and posterior CR (pCR), which have associations with cognition, self-regulation, and, in schizophrenia, positive symptom severity. This study tested the hypothesis that the microstructural organisation of the aCR, as measured by Fractional Anisotropy (FA) using Diffusion Tensor Imaging (DTI), would relate to poorer social cognitive outcomes and higher positive symptom severity for people with schizophrenia, when compared to healthy participants. We further hypothesised that increased positive symptoms would relate to poorer social cognitive outcomes. METHODS Data were derived from n = 178 healthy participants (41 % females; 36.11 ± 12.36 years) and 58 people with schizophrenia (30 % females; 42.4 ± 11.1 years). The Positive and Negative Symptom Severity Scale measured clinical symptom severity. Social Cognition was measured using the Reading the Mind in the Eyes Test (RMET) Total Score, as well as the Positive, Neutral, and Negative stimuli valence. The ENIGMA-DTI protocol tract-based spatial statistics (TBSS) was used. RESULTS There was a significant difference in FA for the CR, in individuals with schizophrenia compared to healthy participants. On stratification, both the aCR and pCR were significantly different between groups, with patients showing reduced white matter tract microstructural organisation. Significant negative correlations were observed between positive symptomatology and reduced microstructural organisation of the aCR. Performance for RMET negative valence items was significantly correlated bilaterally with the aCR, but not the sCR or pCR, and no relationship to positive symptoms was observed. CONCLUSIONS These data highlight specific and significant microstructural white-matter differences for people with schizophrenia, which relates to positive clinical symptomology and poorer performance on social cognition stimuli. While reduced FA is associated with higher positive symptomatology in schizophrenia, this study shows the specific associated with anterior frontal white matter tracts and reduced social cognitive performance. The aCR may have a specific role to play in frontal-disconnection syndromes, psychosis, and social cognitive profile within schizophrenia, though further research requires more sensitive, specific, and detailed consideration of social cognition outcomes.
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Affiliation(s)
- Tom Burke
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - Laurena Holleran
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - David Mothersill
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland; Psychology Department, School of Business, National College of, Ireland
| | - James Lyons
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - Nathan O'Rourke
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - Christina Gleeson
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - Dara M Cannon
- Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland; Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland
| | - Declan P McKernan
- Pharmacology & Therapeutics and Galway Neuroscience Centre, National University of Ireland Galway, H91 W5P7 Galway, Ireland
| | - Derek W Morris
- Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - John P Kelly
- Pharmacology & Therapeutics and Galway Neuroscience Centre, National University of Ireland Galway, H91 W5P7 Galway, Ireland
| | - Brian Hallahan
- Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland; Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Colm McDonald
- Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland; Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Gary Donohoe
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland.
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Jiang W, Cai L, Wang Z. Common hyper-entropy patterns identified in nicotine smoking, marijuana use, and alcohol use based on uni-drug dependence cohorts. Med Biol Eng Comput 2023; 61:3159-3166. [PMID: 37718388 PMCID: PMC10842973 DOI: 10.1007/s11517-023-02932-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 09/07/2023] [Indexed: 09/19/2023]
Abstract
Substance use disorders present similar behaviors and psychopathologies related to impaired decision making/inhibition control and information processing, suggesting common alterations in frontal and limbic brain areas. To test this hypothesis, we identified three uni-substance use cohorts with dependence to only one type of substance from the Human Connectome Project: marijuana dependence, nicotine dependence, and alcohol dependence. Fifty-nine marijuana uses, 34 nicotine smokers, 35 alcohol drinkers, and their age and sex-matched non-substance use controls were identified. We used brain entropy mapping to probe brain alterations in substance use disorders. Compared to non-substance use individuals, all three substance use disorder cohorts had increased brain entropy. Marijuana dependence and nicotine dependence showed overlapped hyper-brain entropy in bilateral dorso-lateral prefrontal cortex, anterior cingulate cortex, and right insula. Hyper-brain entropy in marijuana dependence and alcohol dependence overlap in left insula, left doso-lateral prefrontal cortex, and posterior cingulate. Hyper-brain entropy in nicotine dependence and alcohol dependence overlap only in left dorso-lateral prefrontal cortex. Hyper-brain entropy in those areas was correlated with increased impulsivity or reduced inhibition control in substance use disorder but not in controls. Drug dependence is associated with hyper-brain entropy in the prefrontal cortex and the meso-limbic system, independent of a specific addictive drug. Brain entropy in this circuit provides a sensitive marker to detect brain and behavioral alterations in substance user disorders.
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Affiliation(s)
- Wenyu Jiang
- Department of Neurological Rehabilitation, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Luhui Cai
- Department of Neurological Rehabilitation, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Ze Wang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W. Baltimore St, Baltimore, MD, 20201, USA.
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Sidorenko N, Chung HK, Grueschow M, Quednow BB, Hayward-Könnecke H, Jetter A, Tobler PN. Acetylcholine and noradrenaline enhance foraging optimality in humans. Proc Natl Acad Sci U S A 2023; 120:e2305596120. [PMID: 37639601 PMCID: PMC10483619 DOI: 10.1073/pnas.2305596120] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 07/26/2023] [Indexed: 08/31/2023] Open
Abstract
Foraging theory prescribes when optimal foragers should leave the current option for more rewarding alternatives. Actual foragers often exploit options longer than prescribed by the theory, but it is unclear how this foraging suboptimality arises. We investigated whether the upregulation of cholinergic, noradrenergic, and dopaminergic systems increases foraging optimality. In a double-blind, between-subject design, participants (N = 160) received placebo, the nicotinic acetylcholine receptor agonist nicotine, a noradrenaline reuptake inhibitor reboxetine, or a preferential dopamine reuptake inhibitor methylphenidate, and played the role of a farmer who collected milk from patches with different yield. Across all groups, participants on average overharvested. While methylphenidate had no effects on this bias, nicotine, and to some extent also reboxetine, significantly reduced deviation from foraging optimality, which resulted in better performance compared to placebo. Concurring with amplified goal-directedness and excluding heuristic explanations, nicotine independently also improved trial initiation and time perception. Our findings elucidate the neurochemical basis of behavioral flexibility and decision optimality and open unique perspectives on psychiatric disorders affecting these functions.
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Affiliation(s)
- Nick Sidorenko
- Department of Economics, Laboratory for Social and Neural Systems Research, University of Zurich, Zurich8006, Switzerland
- Department of Economics, Zurich Center for Neuroeconomics, University of Zurich, Zurich8006, Switzerland
| | - Hui-Kuan Chung
- Department of Economics, Laboratory for Social and Neural Systems Research, University of Zurich, Zurich8006, Switzerland
- Department of Economics, Zurich Center for Neuroeconomics, University of Zurich, Zurich8006, Switzerland
| | - Marcus Grueschow
- Department of Economics, Laboratory for Social and Neural Systems Research, University of Zurich, Zurich8006, Switzerland
- Department of Economics, Zurich Center for Neuroeconomics, University of Zurich, Zurich8006, Switzerland
| | - Boris B. Quednow
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Zurich8008, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich8057, Switzerland
| | - Helen Hayward-Könnecke
- Department of Neurology, Section of Neuroimmunology and Multiple Sclerosis Research, University Hospital Zurich, Zurich8091, Switzerland
| | - Alexander Jetter
- National Poisons Information Centre, Tox Info Suisse, Associated Institute of the University of Zurich, Zurich8032, Switzerland
| | - Philippe N. Tobler
- Department of Economics, Laboratory for Social and Neural Systems Research, University of Zurich, Zurich8006, Switzerland
- Department of Economics, Zurich Center for Neuroeconomics, University of Zurich, Zurich8006, Switzerland
- Neuroscience Center Zurich, ETH Zurich and University of Zurich, Zurich8057, Switzerland
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Brynildsen JK, Rajan K, Henderson MX, Bassett DS. Network models to enhance the translational impact of cross-species studies. Nat Rev Neurosci 2023; 24:575-588. [PMID: 37524935 PMCID: PMC10634203 DOI: 10.1038/s41583-023-00720-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/17/2023] [Indexed: 08/02/2023]
Abstract
Neuroscience studies are often carried out in animal models for the purpose of understanding specific aspects of the human condition. However, the translation of findings across species remains a substantial challenge. Network science approaches can enhance the translational impact of cross-species studies by providing a means of mapping small-scale cellular processes identified in animal model studies to larger-scale inter-regional circuits observed in humans. In this Review, we highlight the contributions of network science approaches to the development of cross-species translational research in neuroscience. We lay the foundation for our discussion by exploring the objectives of cross-species translational models. We then discuss how the development of new tools that enable the acquisition of whole-brain data in animal models with cellular resolution provides unprecedented opportunity for cross-species applications of network science approaches for understanding large-scale brain networks. We describe how these tools may support the translation of findings across species and imaging modalities and highlight future opportunities. Our overarching goal is to illustrate how the application of network science tools across human and animal model studies could deepen insight into the neurobiology that underlies phenomena observed with non-invasive neuroimaging methods and could simultaneously further our ability to translate findings across species.
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Affiliation(s)
- Julia K Brynildsen
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Kanaka Rajan
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael X Henderson
- Parkinson's Disease Center, Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Dani S Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Physics & Astronomy, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
- Santa Fe Institute, Santa Fe, NM, USA.
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Lorenzetti V, Gaillard A, Beyer E, Kowalczyk M, Kamboj SK, Manning V, Gleeson J. Do mindfulness-based interventions change brain function in people with substance dependence? A systematic review of the fMRI evidence. BMC Psychiatry 2023; 23:407. [PMID: 37286936 DOI: 10.1186/s12888-023-04789-7] [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: 12/19/2022] [Accepted: 04/14/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND Substance use disorders (SUDs) affect ~ 35 million people globally and are associated with strong cravings, stress, and brain alterations. Mindfulness-based interventions (MBIs) can mitigate the adverse psychosocial outcomes of SUDs, but the underlying neurobiology is unclear. Emerging findings were systematically synthesised from fMRI studies about MBI-associated changes in brain function in SUDs and their associations with mindfulness, drug quantity, and craving. METHODS PsycINFO, Medline, CINAHL, PubMed, Scopus, and Web of Science were searched. Seven studies met inclusion criteria. RESULTS Group by time effects indicated that MBIs in SUDs (6 tobacco and 1 opioid) were associated with changes in the function of brain pathways implicated in mindfulness and addiction (e.g., anterior cingulate cortex and striatum), which correlated with greater mindfulness, lower craving and drug quantity. CONCLUSIONS The evidence for fMRI-related changes with MBI in SUD is currently limited. More fMRI studies are required to identify how MBIs mitigate and facilitate recovery from aberrant brain functioning in SUDs.
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Affiliation(s)
- Valentina Lorenzetti
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Level 5 Daniel Mannix Building, 115 Victoria Parade, Fitzroy, VIC, 3065, Australia.
| | - Alexandra Gaillard
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Level 5 Daniel Mannix Building, 115 Victoria Parade, Fitzroy, VIC, 3065, Australia
- Centre for Mental Health, Swinburne University of Technology, Hawthorn, Australia
| | - Emillie Beyer
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Level 5 Daniel Mannix Building, 115 Victoria Parade, Fitzroy, VIC, 3065, Australia
| | - Magdalena Kowalczyk
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Level 5 Daniel Mannix Building, 115 Victoria Parade, Fitzroy, VIC, 3065, Australia
| | - Sunjeev K Kamboj
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Victoria Manning
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Australia
- Turning Point, Eastern Health, Monash University, Melbourne, Australia
| | - John Gleeson
- Digital Innovations in Mental Health and Well-being Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
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11
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Carrette LLG, Kimbrough A, Davoudian PA, Kwan AC, Collazo A, George O. Hyperconnectivity of Two Separate Long-Range Cholinergic Systems Contributes to the Reorganization of the Brain Functional Connectivity during Nicotine Withdrawal in Male Mice. eNeuro 2023; 10:ENEURO.0019-23.2023. [PMID: 37295945 PMCID: PMC10306126 DOI: 10.1523/eneuro.0019-23.2023] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 04/13/2023] [Accepted: 04/25/2023] [Indexed: 06/12/2023] Open
Abstract
Chronic nicotine results in dependence with withdrawal symptoms on discontinuation of use, through desensitization of nicotinic acetylcholine receptors and altered cholinergic neurotransmission. Nicotine withdrawal is associated with increased whole-brain functional connectivity and decreased network modularity; however, the role of cholinergic neurons in those changes is unknown. To identify the contribution of nicotinic receptors and cholinergic regions to changes in the functional network, we analyzed the contribution of the main cholinergic regions to brain-wide activation of the immediate early-gene Fos during withdrawal in male mice and correlated these changes with the expression of nicotinic receptor mRNA throughout the brain. We show that the main functional connectivity modules included the main long-range cholinergic regions, which were highly synchronized with the rest of the brain. However, despite this hyperconnectivity, they were organized into two anticorrelated networks that were separated into basal forebrain-projecting and brainstem-thalamic-projecting cholinergic regions, validating a long-standing hypothesis of the organization of the brain cholinergic systems. Moreover, baseline (without nicotine) expression of Chrna2, Chrna3, Chrna10, and Chrnd mRNA of each brain region correlated with withdrawal-induced changes in Fos expression. Finally, by mining the Allen Brain mRNA expression database, we were able to identify 1755 gene candidates and three pathways (Sox2-Oct4-Nanog, JAK-STAT, and MeCP2-GABA) that may contribute to nicotine withdrawal-induced Fos expression. These results identify the dual contribution of the basal forebrain and brainstem-thalamic cholinergic systems to whole-brain functional connectivity during withdrawal; and identify nicotinic receptors and novel cellular pathways that may be critical for the transition to nicotine dependence.
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Affiliation(s)
| | - Adam Kimbrough
- Department of Psychiatry, UC San Diego, California 92093
| | - Pasha A Davoudian
- Medical Scientist Training Program, Yale University School of Medicine, New Haven, Connecticut 06511
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, Connecticut 06511
| | - Alex C Kwan
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853
| | - Andres Collazo
- Beckman Institute, California Institute of Technology, Pasadena, California 91125
| | - Olivier George
- Department of Psychiatry, UC San Diego, California 92093
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12
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Carrette LL, Kimbrough A, Davoudian PA, Kwan AC, Collazo A, George O. Hyperconnectivity of two separate long-range cholinergic systems contributes to the reorganization of the brain functional connectivity during nicotine withdrawal in male mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.29.534836. [PMID: 37034602 PMCID: PMC10081261 DOI: 10.1101/2023.03.29.534836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Chronic nicotine results in dependence with withdrawal symptoms upon discontinuation of use, through desensitization of nicotinic acetylcholine receptors and altered cholinergic neurotransmission. Nicotine withdrawal is associated with increased whole-brain functional connectivity and decreased network modularity, however, the role of cholinergic neurons in those changes is unknown. To identify the contribution of nicotinic receptors and cholinergic regions to changes in the functional network, we analyzed the contribution of the main cholinergic regions to brain-wide activation of the immediate early-gene FOS during withdrawal in male mice and correlated these changes with the expression of nicotinic receptor mRNA throughout the brain. We show that the main functional connectivity modules included the main long-range cholinergic regions, which were highly synchronized with the rest of the brain. However, despite this hyperconnectivity they were organized into two anticorrelated networks that were separated into basal forebrain projecting and brainstem-thalamic projecting cholinergic regions, validating a long-standing hypothesis of the organization of the brain cholinergic systems. Moreover, baseline (without nicotine) expression of Chrna2 , Chrna3 , Chrna10 , and Chrnd mRNA of each brain region correlated with withdrawal-induced changes in FOS expression. Finally, by mining the Allen Brain mRNA expression database, we were able to identify 1755 gene candidates and three pathways (Sox2-Oct4-Nanog, JAK-STAT, and MeCP2-GABA) that may contribute to nicotine withdrawal-induced FOS expression. These results identify the dual contribution of the basal forebrain and brainstem-thalamic cholinergic systems to whole-brain functional connectivity during withdrawal; and identify nicotinic receptors and novel cellular pathways that may be critical for the transition to nicotine dependence. Significance Statement Discontinuation of nicotine use in dependent users is associated with increased whole-brain activation and functional connectivity and leads to withdrawal symptoms. Here we investigated the contribution of the nicotinic cholinergic receptors and main cholinergic projecting brain areas in the whole-brain changes associated with withdrawal. This not only allowed us to visualize and confirm the previously described duality of the cholinergic brain system using this novel methodology, but also identify nicotinic receptors together with 1751 other genes that contribute, and could thus be targets for treatments against, nicotine withdrawal and dependence.
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Affiliation(s)
| | - Adam Kimbrough
- Department of Psychiatry, UC San Diego, La Jolla, CA, 92032, United States
| | - Pasha A. Davoudian
- Medical Scientist Training Program, Yale University School of Medicine, New Haven, CT, 06511, United States
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, 06511, United States
| | - Alex C. Kwan
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, United States
| | - Andres Collazo
- Beckman Institute, CalTech, Pasadena, CA, 91125, United States
| | - Olivier George
- Department of Psychiatry, UC San Diego, La Jolla, CA, 92032, United States
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13
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Pandria N, Athanasiou A, Styliadis C, Terzopoulos N, Mitsopoulos K, Paraskevopoulos E, Karagianni M, Pataka A, Kourtidou-Papadeli C, Makedou K, Iliadis S, Lymperaki E, Nimatoudis I, Argyropoulou-Pataka P, Bamidis PD. Does combined training of biofeedback and neurofeedback affect smoking status, behavior, and longitudinal brain plasticity? Front Behav Neurosci 2023; 17:1096122. [PMID: 36778131 PMCID: PMC9911884 DOI: 10.3389/fnbeh.2023.1096122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 01/02/2023] [Indexed: 01/28/2023] Open
Abstract
Introduction: Investigations of biofeedback (BF) and neurofeedback (NF) training for nicotine addiction have been long documented to lead to positive gains in smoking status, behavior and to changes in brain activity. We aimed to: (a) evaluate a multi-visit combined BF/NF intervention as an alternative smoking cessation approach, (b) validate training-induced feedback learning, and (c) document effects on resting-state functional connectivity networks (rsFCN); considering gender and degree of nicotine dependence in a longitudinal design. Methods: We analyzed clinical, behavioral, and electrophysiological data from 17 smokers who completed five BF and 20 NF sessions and three evaluation stages. Possible neuroplastic effects were explored comparing whole-brain rsFCN by phase-lag index (PLI) for different brain rhythms. PLI connections with significant change across time were investigated according to different resting-state networks (RSNs). Results: Improvements in smoking status were observed as exhaled carbon monoxide levels, Total Oxidative Stress, and Fageström scores decreased while Vitamin E levels increased across time. BF/NF promoted gains in anxiety, self-esteem, and several aspects of cognitive performance. BF learning in temperature enhancement was observed within sessions. NF learning in theta/alpha ratio increase was achieved across baselines and within sessions. PLI network connections significantly changed across time mainly between or within visual, default mode and frontoparietal networks in theta and alpha rhythms, while beta band RSNs mostly changed significantly after BF sessions. Discussion: Combined BF/NF training positively affects the clinical and behavioral status of smokers, displays benefit in smoking harm reduction, plays a neuroprotective role, leads to learning effects and to positive reorganization of RSNs across time. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT02991781.
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Affiliation(s)
- Niki Pandria
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Alkinoos Athanasiou
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Charis Styliadis
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Nikos Terzopoulos
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Konstantinos Mitsopoulos
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Evangelos Paraskevopoulos
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece,Department of Psychology, University of Cyprus, Nicosia, Cyprus
| | - Maria Karagianni
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
| | - Athanasia Pataka
- Pulmonary Department-Oncology Unit, “G. Papanikolaou” General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Kali Makedou
- Laboratory of Biochemistry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Stavros Iliadis
- Laboratory of Biochemistry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Evgenia Lymperaki
- Department of Biomedical Sciences, International Hellenic University, Thessaloniki, Greece
| | - Ioannis Nimatoudis
- Third Department of Psychiatry, AHEPA University General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Panagiotis D. Bamidis
- Laboratory of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece,*Correspondence: Panagiotis D. Bamidis
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14
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Zhao Y, Skandali N, Bethlehem RAI, Voon V. Mesial Prefrontal Cortex and Alcohol Misuse: Dissociating Cross-sectional and Longitudinal Relationships in UK Biobank. Biol Psychiatry 2022; 92:907-916. [PMID: 35589437 DOI: 10.1016/j.biopsych.2022.03.008] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 02/24/2022] [Accepted: 03/12/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Alcohol misuse is a major global public health issue. The disorder is characterized by aberrant neural networks interacting with environment and genetics. Dissecting the neural substrates and functional networks that relate to longitudinal changes in alcohol use from those that relate to alcohol misuse cross-sectionally is important to elucidate therapeutic approaches. METHODS To assess how neuroimaging data, including T1, resting-state functional magnetic resonance imaging, and diffusion-weighted imaging, relate to alcohol misuse cross-sectionally and longitudinally in the UK Biobank, this study analyzed range of alcohol misuse in a population-based normative sample of 24,784 participants, ages 45 to 81 years old, in a cross-sectional analysis and a sample of 3070 participants in a longitudinal analysis 2 years later. RESULTS Cross-sectional analysis showed that alcohol use is associated with a reduction in dorsal anterior cingulate cortex and dorsomedial prefrontal cortex gray matter concentration and functional resting-state connectivity (nodal degree: t24,422 = -12.99, p < 1 × 10-17). Reduced dorsal anterior cingulate cortex/dorsomedial prefrontal cortex functional connections to the ventrolateral prefrontal cortex, amygdala, and striatum relate to greater alcohol use. In a longitudinal analysis, higher resting-state nodal degree (t3036 = -3.27, p = .0011) and T1 gray matter concentration in the ventromedial prefrontal cortex relate to reduced alcohol intake frequency 2 years later. Higher ventromedial prefrontal cortex and frontoparietal executive network functional connectivity is associated with lower subsequent drinking longitudinally. CONCLUSIONS Dorsal versus ventromedial prefrontal regions are differentially related to alcohol misuse cross-sectionally or longitudinally in a large UK Biobank normative dataset. Our study provides a comprehensive understanding of the neurobiological substrates of alcohol use as a state or prospectively, thereby providing potential targets for clinical treatment.
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Affiliation(s)
- Ying Zhao
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
| | - Nikolina Skandali
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom
| | | | - Valerie Voon
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
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15
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Keeley RJ, Prillaman ME, Scarlata M, Vrana A, Tsai PJ, Gomez JL, Bonaventura J, Lu H, Michaelides M, Stein EA. Adolescent nicotine administration increases nicotinic acetylcholine receptor binding and functional connectivity in specific cortico-striatal-thalamic circuits. Brain Commun 2022; 4:fcac291. [PMID: 36440101 PMCID: PMC9683397 DOI: 10.1093/braincomms/fcac291] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 07/05/2022] [Accepted: 11/17/2022] [Indexed: 11/28/2023] Open
Abstract
Nicotine exposure is associated with regional changes in brain nicotinic acetylcholine receptors subtype expression patterns as a function of dose and age at the time of exposure. Moreover, nicotine dependence is associated with changes in brain circuit functional connectivity, but the relationship between such connectivity and concomitant regional distribution changes in nicotinic acetylcholine receptor subtypes following nicotine exposure is not understood. Although smoking typically begins in adolescence, developmental changes in brain circuits and nicotinic acetylcholine receptors following chronic nicotine exposure remain minimally investigated. Here, we combined in vitro nicotinic acetylcholine receptor autoradiography with resting state functional magnetic resonance imaging to measure changes in [3H]nicotine binding and α4ß2 subtype nicotinic acetylcholine receptor binding and circuit connectivity across the brain in adolescent (postnatal Day 33) and adult (postnatal Day 68) rats exposed to 6 weeks of nicotine administration (0, 1.2 and 4.8 mg/kg/day). Chronic nicotine exposure increased nicotinic acetylcholine receptor levels and induced discrete, developmental stage changes in regional nicotinic acetylcholine receptor subtype distribution. These effects were most pronounced in striatal, thalamic and cortical regions when nicotine was administered during adolescence but not in adults. Using these regional receptor changes as seeds, resting state functional magnetic resonance imaging identified dysregulations in cortico-striatal-thalamic-cortical circuits that were also dysregulated following adolescent nicotine exposure. Thus, nicotine-induced increases in cortical, striatal and thalamic nicotinic acetylcholine receptors during adolescence modifies processing and brain circuits within cortico-striatal-thalamic-cortical loops, which are known to be crucial for multisensory integration, action selection and motor output, and may alter the developmental trajectory of the adolescent brain. This unique multimodal study significantly advances our understanding of nicotine dependence and its effects on the adolescent brain.
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Affiliation(s)
- Robin J Keeley
- National Institute on Drug Abuse, Intramural Research Program (NIDA-IRP), National Institutes of Health, Baltimore, MD 21224, USA
| | - McKenzie E Prillaman
- National Institute on Drug Abuse, Intramural Research Program (NIDA-IRP), National Institutes of Health, Baltimore, MD 21224, USA
| | - Miranda Scarlata
- National Institute on Drug Abuse, Intramural Research Program (NIDA-IRP), National Institutes of Health, Baltimore, MD 21224, USA
| | - Antonia Vrana
- National Institute on Drug Abuse, Intramural Research Program (NIDA-IRP), National Institutes of Health, Baltimore, MD 21224, USA
| | - Pei-Jung Tsai
- National Institute on Drug Abuse, Intramural Research Program (NIDA-IRP), National Institutes of Health, Baltimore, MD 21224, USA
| | - Juan L Gomez
- National Institute on Drug Abuse, Intramural Research Program (NIDA-IRP), National Institutes of Health, Baltimore, MD 21224, USA
| | - Jordi Bonaventura
- National Institute on Drug Abuse, Intramural Research Program (NIDA-IRP), National Institutes of Health, Baltimore, MD 21224, USA
- Departament de Patologia Terapèutica Experimental, Institut de Neurociènes, Universitat de Barcelona, Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain
| | - Hanbing Lu
- National Institute on Drug Abuse, Intramural Research Program (NIDA-IRP), National Institutes of Health, Baltimore, MD 21224, USA
| | - Michael Michaelides
- National Institute on Drug Abuse, Intramural Research Program (NIDA-IRP), National Institutes of Health, Baltimore, MD 21224, USA
| | - Elliot A Stein
- National Institute on Drug Abuse, Intramural Research Program (NIDA-IRP), National Institutes of Health, Baltimore, MD 21224, USA
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16
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Korponay C, Stein EA, Ross TJ. Misconfigured striatal connectivity profiles in smokers. Neuropsychopharmacology 2022; 47:2081-2089. [PMID: 35752682 PMCID: PMC9556661 DOI: 10.1038/s41386-022-01366-6] [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: 04/11/2022] [Revised: 05/19/2022] [Accepted: 06/14/2022] [Indexed: 11/09/2022]
Abstract
Dysregulation of frontal cortical inputs to the striatum is foundational in the neural basis of substance use disorder (SUD). Neuroanatomical and electrophysiological data increasingly show that striatal nodes receive appreciable input from numerous cortical areas, and that the combinational properties of these multivariate "connectivity profiles" play a predominant role in shaping striatal activity and function. Yet, how abnormal configuration of striatal connectivity profiles might contribute to SUD is unknown. Here, we implemented a novel "connectivity profile analysis" (CPA) approach using resting-state functional connectivity data to facilitate detection of different types of connectivity profile "misconfiguration" that may reflect distinct forms of aberrant circuit plasticity in SUD. We examined 46 nicotine-dependent smokers and 33 non-smokers and showed that both dorsal striatum (DS) and ventral striatum (VS) connectivity profiles with frontal cortex were misconfigured in smokers-but in doubly distinct fashions. DS misconfigurations were stable across sated and acute abstinent states (indicative of a "trait" circuit adaptation) whereas VS misconfigurations emerged only during acute abstinence (indicative of a "state" circuit adaptation). Moreover, DS misconfigurations involved abnormal connection strength rank order arrangement, whereas VS misconfigurations involved abnormal aggregate strength. We found that caudal ventral putamen in smokers uniquely displayed multiple types of connectivity profile misconfiguration, whose interactive magnitude was linked to dependence severity, and that VS misconfiguration magnitude correlated positively with withdrawal severity during acute abstinence. Findings underscore the potential for approaches that more aptly model the neurobiological composition of corticostriatal circuits to yield deeper insights into the neural basis of SUD.
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Affiliation(s)
- Cole Korponay
- Basic Neuroscience Division, McLean Hospital, Belmont, MA, USA.
| | - Elliot A Stein
- Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, USA
| | - Thomas J Ross
- Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, USA
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17
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Schaub AC, Vogel M, Baumgartner S, Lang UE, Borgwardt S, Schmidt A, Walter M. Striatal resting-state connectivity after long-term diacetylmorphine treatment in opioid-dependent patients. Brain Commun 2022; 4:fcac275. [PMID: 36382218 PMCID: PMC9642101 DOI: 10.1093/braincomms/fcac275] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 07/26/2022] [Accepted: 10/24/2022] [Indexed: 08/22/2023] Open
Abstract
New treatment approaches for opioid-dependent patients include injectable opioid agonist treatment with diacetylmorphine. While evidence has shown beneficial clinical effects of diacetylmorphine, it is still not clear how long-term diacetylmorphine treatment affects the brain and whether functional brain changes are accompanied by clinical improvements. Therefore, this prospective case-control study focuses on long-term effects of diacetylmorphine on resting-state functional connectivity. We included opioid-dependent patients (N = 22, age range 33-58, 16 males) treated with diacetylmorphine and healthy controls (N = 9, age range 27-55, 5 males) that underwent two MRI assessments approximately nine years apart. For the patients, the assessments took part shortly after the diacetylmorphine intake to be able to explore changes in resting-state functional connectivity in brain regions related to the stage of binge and intoxication (caudate, putamen, nucleus accumbens). A cluster in the right superior frontal gyrus was detected, showing over nine years an increase in functional connectivity originating from the left caudate and the left accumbens in patients but not in healthy controls. These connectivity changes in patients were related to the duration of the diacetylmorphine treatment at the follow-up, indicating smaller increases in functional connectivity with longer treatment duration (r = 0.63, P < 0.01). These results suggest that long-term diacetylmorphine treatment in opioid-dependent patients increases fronto-striatal connections, an effect that is linked to the duration of the treatment duration. Future research needs to further address the wide-ranging effects of diacetylmorphine on brain functioning and deepen the understanding of their clinical relevance.
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Affiliation(s)
- Anna-Chiara Schaub
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
| | - Marc Vogel
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
| | - Sophie Baumgartner
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
| | - Undine E Lang
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
| | - Stefan Borgwardt
- Department of Psychiatry and Psychotherapy, University of Lübeck, 23562 Lübeck, Germany
| | - André Schmidt
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
| | - Marc Walter
- Department of Psychiatry (UPK), University of Basel, 4002 Basel, Switzerland
- Psychiatrische Dienste Aargau, Windisch, Switzerland
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18
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Qiu T, Xie F, Zeng Q, Shen Z, Du G, Xu X, Wang C, Li X, Luo X, Li K, Huang P, Zhang T, Zhang J, Dai S, Zhang M. Interactions between cigarette smoking and cognitive status on functional connectivity of the cortico-striatal circuits in individuals without dementia: A resting-state functional MRI study. CNS Neurosci Ther 2022; 28:1195-1204. [PMID: 35506354 PMCID: PMC9253779 DOI: 10.1111/cns.13852] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 04/12/2022] [Accepted: 04/16/2022] [Indexed: 11/27/2022] Open
Abstract
Aims Cigarette smoking is a modifiable risk factor for Alzheimer's disease (AD), and controlling risk factors may curb the progression of AD. However, the underlying neural mechanisms of the effects of smoking on cognition remain largely unclear. Therefore, we aimed to explore the interaction effects of smoking × cognitive status on cortico‐striatal circuits, which play a crucial role in addiction and cognition, in individuals without dementia. Methods We enrolled 304 cognitively normal (CN) non‐smokers, 44 CN smokers, 130 mild cognitive impairment (MCI) non‐smokers, and 33 MCI smokers. The mixed‐effect analysis was performed to explore the interaction effects between smoking and cognitive status (CN vs. MCI) based on functional connectivity (FC) of the striatal subregions (caudate, putamen, and nucleus accumbens [NAc]). Results The significant interaction effects of smoking × cognitive status on FC of the striatal subregions were detected in the left inferior parietal lobule (IPL), bilateral cuneus, and bilateral anterior cingulate cortex (ACC). Specifically, increased FC of right caudate to left IPL was found in CN smokers compared with non‐smokers. The MCI smokers showed decreased FC of right caudate to left IPL and of right putamen to bilateral cuneus and increased FC of bilateral NAc to bilateral ACC compared with CN smokers and MCI non‐smokers. Furthermore, a positive correlation between FC of the NAc to ACC with language and memory was detected in MCI smokers. Conclusions Cigarette smoking could affect the function of cortico‐striatal circuits in patients with MCI. Our findings suggest that quitting smoking in the prodromal stage of AD may have the potential to prevent disease progression.
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Affiliation(s)
- Tiantian Qiu
- Department of Radiology, Linyi People's Hospital, Linyi, China
| | - Fei Xie
- Department of Equipment and Medical Engineering, Linyi People's Hospital, Linyi, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Zhujing Shen
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Guijin Du
- Department of Radiology, Linyi People's Hospital, Linyi, China
| | - Xiaopei Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Chao Wang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaodong Li
- Department of Radiology, Linyi People's Hospital, Linyi, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Tianyi Zhang
- Department of Neurology, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Jinling Zhang
- Cancer Center, Linyi People's Hospital, Linyi, China
| | - Shouping Dai
- Department of Radiology, Linyi People's Hospital, Linyi, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
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19
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Chen X, Zheng X, Cai J, Yang X, Lin Y, Wu M, Deng X, Peng YG. Effect of Anesthetics on Functional Connectivity of Developing Brain. Front Hum Neurosci 2022; 16:853816. [PMID: 35360283 PMCID: PMC8963106 DOI: 10.3389/fnhum.2022.853816] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/21/2022] [Indexed: 11/27/2022] Open
Abstract
The potential anesthetic neurotoxicity on the neonate is an important focus of research investigation in the field of pediatric anesthesiology. It is essential to understand how these anesthetics may affect the development and growth of neonatal immature and vulnerable brains. Functional magnetic resonance imaging (fMRI) has suggested that using anesthetics result in reduced functional connectivity may consider as core sequence for the neurotoxicity and neurodegenerative changes in the developed brain. Anesthetics either directly impact the primary structures and functions of the brain or indirectly alter the hemodynamic parameters that contribute to cerebral blood flow (CBF) in neonatal patients. We hypothesis that anesthetic agents may either decrease the brain functional connectivity in neonatal patients or animals, which was observed by fMRI. This review will summarize the effect and mechanism of anesthesia on the rapid growth and development infant and neonate brain with fMRI through functional connectivity. It is possible to provide the new mechanism of neuronal injury induced by anesthetics and objective imaging evidence in animal developing brain.
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Affiliation(s)
- Xu Chen
- Department of Pharmacy, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xuemei Zheng
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jianghui Cai
- Department of Pharmacy, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiao Yang
- Department of Obstetrics, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yonghong Lin
- Department of Gynecology, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Mengjun Wu
- Department of Anesthesiology, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Mengjun Wu,
| | - Xiaofan Deng
- Center of Organ Transplantation, Sichuan Provincial People’s Hospital, Sichuan Academy of Medical Sciences, Chengdu, China
| | - Yong G. Peng
- Department of Anesthesiology, College of Medicine, University of Florida, Gainesville, FL, United States
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20
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Nall RW, Beloate LN, Meyerink ME, Penaloza T, Doolittle J, Froeliger B, Kalivas PW, Garcia-Keller C. Assessing combined effects of varenicline and N-acetylcysteine on reducing nicotine seeking in rats. Addict Biol 2022; 27:e13151. [PMID: 35229943 PMCID: PMC10777539 DOI: 10.1111/adb.13151] [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: 05/12/2021] [Revised: 12/22/2021] [Accepted: 01/14/2022] [Indexed: 11/27/2022]
Abstract
Nicotine addiction is a chronic relapsing brain disorder, and cigarette smoking is the leading cause of preventable death in the United States. Currently, the most effective pharmacotherapy for smoking cessation is Varenicline (VRN), which reduces both positive and negative reinforcement by nicotine. Clinically, VRN attenuates withdrawal symptoms and promotes abstinence, but >50% of smokers relapse within 3 months following a quit attempt. This may indicate that VRN fails to ameliorate components of nicotine-induced neuroplasticity that promote relapse vulnerability. Animal models reveal that glutamate dysregulation in the nucleus accumbens is associated with nicotine relapse. N-acetylcysteine (NAC) normalizes glutamate transmission and prolongs cocaine abstinence. Thus, combining VRN and NAC may promote and maintain, respectively, nicotine abstinence. In rats, we found that VRN effectively reduced nicotine self-administration and seeking in early abstinence, but not seeking later in abstinence. In contrast, NAC reduced seeking only later in abstinence. Because VRN and NAC are sometimes associated with mild adverse effects, we also evaluated a sequential approach combining subthreshold doses of VRN during self-administration and early abstinence with subthreshold doses of NAC during late abstinence. As expected, subthreshold VRN did not reduce nicotine intake. However, subthreshold VRN and NAC reduced seeking in late abstinence, suggesting a combined effect. Overall, our results suggest that combining subthreshold VRN and NAC is a viable and drug-specific approach to promote abstinence and reduce relapse while minimizing adverse effects. Our data also suggest that different components and time points in addiction engage the different neurocircuits targeted by VRN and NAC.
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Affiliation(s)
- Rusty W. Nall
- Department of Neuroscience, Medical University of South Carolina, 173 Ashley Ave, Charleston, SC 29425
- Department of Psychology, Jacksonville State University, 700 Pelham Rd. N., Jacksonville, AL, 36265
| | - Lauren N. Beloate
- Department of Neuroscience, Medical University of South Carolina, 173 Ashley Ave, Charleston, SC 29425
- Department of Biomedical Engineering, The Pennsylvania State University, 122 Chemical and Biomedical Engineering Building, University Park, PA 16802
| | - Michael E. Meyerink
- Department of Neuroscience, Medical University of South Carolina, 173 Ashley Ave, Charleston, SC 29425
| | - Tiffany Penaloza
- Department of Neuroscience, Medical University of South Carolina, 173 Ashley Ave, Charleston, SC 29425
| | - Jade Doolittle
- Department of Neuroscience, Medical University of South Carolina, 173 Ashley Ave, Charleston, SC 29425
| | - Brett Froeliger
- Department of Neuroscience, Medical University of South Carolina, 173 Ashley Ave, Charleston, SC 29425
- Department of Psychiatry, Department of Psychological Sciences, University of Missouri-Columbia, 1 Hospital Dr, Columbia, MO 65201
| | - Peter W. Kalivas
- Department of Neuroscience, Medical University of South Carolina, 173 Ashley Ave, Charleston, SC 29425
| | - Constanza Garcia-Keller
- Department of Neuroscience, Medical University of South Carolina, 173 Ashley Ave, Charleston, SC 29425
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21
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Scarlata MJ, Keeley RJ, Carmack SA, Tsai PJ, Vendruscolo JCM, Lu H, Koob GF, Vendruscolo LF, Stein EA. Cingulate circuits are associated with escalation of heroin use and naloxone-induced increases in heroin self-administration. ADDICTION NEUROSCIENCE 2022; 1:100002. [PMID: 37323812 PMCID: PMC10270679 DOI: 10.1016/j.addicn.2021.100002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Opioid use disorder (OUD) is defined as a compulsion to seek and take opioids, loss of control over intake and the development of a negative emotional state when access to opioids is denied. Using functional magnetic resonance imaging (fMRI) data in a rat model of OUD, we demonstrate that the escalation of heroin self-administration (SA) and the increased heroin SA following an injection of an opioid receptor antagonist (naloxone) are associated with changes in distinct brain circuits, centered on the cingulate cortex (Cg). Here, SA escalation score was negatively associated with changes in resting state functional connectivity (rsFC) between the Cg and the dorsal striatum. Conversely, increased heroin SA following naloxone injection, was associated with increased connectivity between the Cg and the extended amygdala and hypothalamus. Naloxone-induced increased SA was also positively associated with changes in the amplitude of low frequency fluctuations within the Cg, a measure of spontaneous neuronal activity. Characterizing the distinct brain circuit and behavior changes associated with different facets of addiction increases our understanding of OUD and may provide insight into addiction prevention and treatment.
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Affiliation(s)
- MJ Scarlata
- Neuroimaging Research Branch, National Institute on Drug Abuse, United States of America
| | - RJ Keeley
- Neuroimaging Research Branch, National Institute on Drug Abuse, United States of America
| | - SA Carmack
- Integrative Neuroscience Research Branch, National Institute on Drug Abuse (NIDA), Intramural Research Program, NIH, Baltimore, MD, United States of America
| | - P-J Tsai
- Neuroimaging Research Branch, National Institute on Drug Abuse, United States of America
| | - JCM Vendruscolo
- Integrative Neuroscience Research Branch, National Institute on Drug Abuse (NIDA), Intramural Research Program, NIH, Baltimore, MD, United States of America
| | - H Lu
- Neuroimaging Research Branch, National Institute on Drug Abuse, United States of America
| | - GF Koob
- Integrative Neuroscience Research Branch, National Institute on Drug Abuse (NIDA), Intramural Research Program, NIH, Baltimore, MD, United States of America
| | - LF Vendruscolo
- Integrative Neuroscience Research Branch, National Institute on Drug Abuse (NIDA), Intramural Research Program, NIH, Baltimore, MD, United States of America
| | - EA Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, United States of America
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22
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Deng R, Yang X, Meng YJ, Tao YJ, Wang HY, Li XJ, Wei W, Yu H, Wang Q, Deng W, Zhao LS, Ma XH, Li ML, Xu JJ, Li J, Liu YS, Tang Z, Du XD, Coid JW, Greenshaw AJ, Li T, Guo WJ. Data-driven study on resting-state functional magnetic resonance imaging during early abstinence of alcohol dependence in male patients and its predictive value for relapse. BMC Psychiatry 2022; 22:143. [PMID: 35193538 PMCID: PMC8862392 DOI: 10.1186/s12888-022-03782-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 02/15/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Alcohol dependence is a mental disorder with a high relapse rate. However, specific neuroimaging biomarkers have not been determined for alcohol dependence and its relapse. We conducted data-driven research to investigate resting-state functional magnetic resonance imaging (rs-fMRI) during early abstinence from alcohol dependence and its potential ability to predict relapse. METHODS Participants included 68 alcohol-dependent patients and 68 healthy controls (HCs). The regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF) were compared between the alcohol dependence group and the HCs and between the relapse group and the nonrelapse group. The brain regions that presented significantly different ReHo and/or fALFF between the alcohol-dependent patients and HCs and/or between the relapsed and nonrelapsed patients were selected as the seeds to calculate the functional connectivities (FCs). RESULTS During a 6-month follow-up period, 52.24% of alcohol-dependent patients relapsed. A regression model for differentiating alcohol-dependent patients and HCs showed that reductions in ReHo in the left postcentral region, fALFF in the right fusiform region, and FC in the right fusiform region to the right middle cingulum were independently associated with alcohol dependence, with an area under the receiver operating characteristic curve (AUC) of 0.841. The baseline FC of the left precentral to the left cerebellum of the relapse group was significantly lower than that of the nonrelapse group. The AUC of this FC to predict relapse was 0.774. CONCLUSIONS Our findings contribute to advancing research on the neurobiological etiology and predictive biomarkers for relapse associated with alcohol dependence.
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Affiliation(s)
- Renhao Deng
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Xia Yang
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Ya-jing Meng
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Yu-jie Tao
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Hui-yao Wang
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Xiao-jing Li
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Wei Wei
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Hua Yu
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Qiang Wang
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Wei Deng
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Lian-sheng Zhao
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Xiao-hong Ma
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Ming-li Li
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Jia-jun Xu
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Jing Li
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Yan-song Liu
- grid.263761.70000 0001 0198 0694Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Zhen Tang
- grid.263761.70000 0001 0198 0694Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Xiang-dong Du
- grid.263761.70000 0001 0198 0694Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Jeremy W. Coid
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Andrew J. Greenshaw
- grid.17089.370000 0001 2190 316XDepartment of Psychiatry, University of Alberta, Edmonton, Canada
| | - Tao Li
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China ,grid.13291.380000 0001 0807 1581Center for Educational and Health Psychology, Sichuan University, Chengdu, People’s Republic of China
| | - Wan-jun Guo
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
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23
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Fisher ML, Pauly JR, Froeliger B, Turner JR. Translational Research in Nicotine Addiction. Cold Spring Harb Perspect Med 2021; 11:cshperspect.a039776. [PMID: 32513669 DOI: 10.1101/cshperspect.a039776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
While commendable strides have been made in reducing smoking initiation and improving smoking cessation rates, current available smoking cessation treatment options are still only mildly efficacious and show substantial interindividual variability in their therapeutic responses. Therefore, the primary goal of preclinical research has been to further the understanding of the neural substrates and genetic influences involved in nicotine's effects and reassess potential drug targets. Pronounced advances have been made by investing in new translational approaches and placing more emphasis on bridging the gap between human and rodent models of dependence. Functional neuroimaging studies have identified key brain structures involved with nicotine-dependence phenotypes such as craving, impulsivity, withdrawal symptoms, and smoking cessation outcomes. Following up with these findings, rodent-modeling techniques have made it possible to dissect the neural circuits involved in these motivated behaviors and ascertain mechanisms underlying nicotine's interactive effects on brain structure and function. Likewise, translational studies investigating single-nucleotide polymorphisms (SNPs) within the cholinergic, dopaminergic, and opioid systems have found high levels of involvement of these neurotransmitter systems in regulating the reinforcing aspects of nicotine in both humans and mouse models. These findings and coordinated efforts between human and rodent studies pave the way for future work determining gene by drug interactions and tailoring treatment options to each individual smoker.
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Affiliation(s)
- Miranda L Fisher
- Department of Pharmaceutical Sciences, University of Kentucky College of Pharmacy, Lexington, Kentucky 40536-0596, USA
| | - James R Pauly
- Department of Pharmaceutical Sciences, University of Kentucky College of Pharmacy, Lexington, Kentucky 40536-0596, USA
| | - Brett Froeliger
- Department of Neuroscience, Medical University of South Carolina, Charleston, South Carolina 29425, USA
| | - Jill R Turner
- Department of Pharmaceutical Sciences, University of Kentucky College of Pharmacy, Lexington, Kentucky 40536-0596, USA
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24
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Distinct patterns of prefrontal cortical disengagement during inhibitory control in addiction: A meta-analysis based on population characteristics. Neurosci Biobehav Rev 2021; 127:255-269. [PMID: 33933507 DOI: 10.1016/j.neubiorev.2021.04.028] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 03/22/2021] [Accepted: 04/25/2021] [Indexed: 11/21/2022]
Abstract
Prefrontal cortical dysfunctions underlying inhibitory control deficits in addiction are complex and likely dependent on population characteristics. Here, we conducted a meta-analysis to examine alterations in brain activations during response inhibition in addicted individuals. We characterized imaging findings based on substance use status, diagnosis, substance classes, and task performance. Results revealed in those with active drug addiction hypoactivation of the left dorsal anterior cingulate cortex (dACC) and right middle frontal gyrus (MFG), compared with healthy controls. Weakening of the dACC and MFG activations was particularly pronounced in nicotine users, respectively. Impaired task performance was also associated with diminished MFG activation. In contrast, abstinent users did not exhibit any significant differences compared with healthy controls. Those with behavioral addictions were characterized by higher midcingulate cortical activation. Thus, the neural disengagement during response inhibition in active drug addiction was limited to a small number of prefrontal cortical regions and dependent on population characteristics. Finally, the evidence for potential normalization of hypofrontality following substance use cessation highlights the benefits of abstinence in restoring cerebral functions.
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25
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Franklin TR, Jagannathan K, Spilka NH, Keyser H, Rao H, Ely AV, Janes AC, Wetherill RR. Smoking-induced craving relief relates to increased DLPFC-striatal coupling in nicotine-dependent women. Drug Alcohol Depend 2021; 221:108593. [PMID: 33611027 PMCID: PMC8026729 DOI: 10.1016/j.drugalcdep.2021.108593] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 01/23/2023]
Abstract
BACKGROUND Craving is a major contributor to drug-seeking and relapse. Although the ventral striatum (VS) is a primary neural correlate of craving, strategies aimed at manipulating VS function have not resulted in efficacious treatments. This incongruity may be because the VS does not influence craving in isolation. Instead, craving is likely mediated by communication between the VS and other neural substrates. Thus, we examined how striatal functional connectivity (FC) with key nodes of networks involved in addiction affects relief of craving, which is an important step in identifying viable treatment targets. METHODS Twenty-four nicotine-dependent non-abstinent women completed two resting-state (rs) fMRI scans, one before and one following smoking a cigarette in the scanner, and provided craving ratings before and after smoking the cigarette. A seed-based approach was used to examine rsFC between the VS, putamen and germane craving-related brain regions; the dorsolateral prefrontal cortex (dlPFC), the posterior cingulate cortex, and the anterior ventral insula. RESULTS Smoking a cigarette was associated with a decrease in craving. Relief of craving correlated with increases in right dlPFC- bilateral VS (r = 0.57, p = 0.003, corrected) as did increased right dlPFC-left putamen coupling (r = 0.62, p = 0.001, corrected). CONCLUSIONS Smoking-induced relief of craving is associated with enhanced rsFC between the dlPFC, a region that plays a pivotal role in decision making, and the striatum, the neural structure underlying motivated behavior. These findings are highly consistent with a burgeoning literature implicating dlPFC-striatal interactions as a neurobiological substrate of craving.
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Affiliation(s)
- Teresa R Franklin
- Center for Studies of Addiction, Department of Psychiatry, The University of Pennsylvania Perelman School of Medicine, 3535 Market Street Suite 500, Philadelphia, PA, 19104, USA.
| | - Kanchana Jagannathan
- Center for Studies of Addiction, Department of Psychiatry, The University of Pennsylvania Perelman School of Medicine, 3535 Market Street Suite 500, Philadelphia, PA, 19104, USA
| | - Nathaniel H Spilka
- Center for Studies of Addiction, Department of Psychiatry, The University of Pennsylvania Perelman School of Medicine, 3535 Market Street Suite 500, Philadelphia, PA, 19104, USA
| | - Heather Keyser
- Center for Studies of Addiction, Department of Psychiatry, The University of Pennsylvania Perelman School of Medicine, 3535 Market Street Suite 500, Philadelphia, PA, 19104, USA
| | - Hengy Rao
- Center for Functional Neuroimaging, Department of Neurology, The University of Pennsylvania Perelman School of Medicine, 3700 Hamilton Walk, Philadelphia, PA, USA
| | - Alice V Ely
- Center for Studies of Addiction, Department of Psychiatry, The University of Pennsylvania Perelman School of Medicine, 3535 Market Street Suite 500, Philadelphia, PA, 19104, USA
| | - Amy C Janes
- Functional Integration of Addiction Research Lab, Department of Psychiatry, Harvard Medical School/McLean Hospital, 115 Mill St. Belmont, MA, 02478, USA
| | - Reagan R Wetherill
- Center for Studies of Addiction, Department of Psychiatry, The University of Pennsylvania Perelman School of Medicine, 3535 Market Street Suite 500, Philadelphia, PA, 19104, USA
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26
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GIPSON CD, BIMONTE-NELSON HA. Interactions between reproductive transitions during aging and addiction: promoting translational crosstalk between different fields of research. Behav Pharmacol 2021; 32:112-122. [PMID: 32960852 PMCID: PMC7965232 DOI: 10.1097/fbp.0000000000000591] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Discovery of neural mechanisms underlying neuropsychiatric disorders within the aging and addiction fields has been a main focus of the National Institutes of Health. However, there is a dearth of knowledge regarding the biological interactions of aging and addiction, which may have important influences on progression of disease and treatment outcomes in aging individuals with a history of chronic drug use. Thus, there is a large gap in these fields of research, which has slowed progress in understanding and treating substance use disorders (SUDs) as well as age-related diseases, specifically in women who experience precipitous reproductive cycle transitions during aging. The goal of this review is to highlight overlap of SUDs and age-related processes with a specific focus on menopause and smoking, and identify critical gaps. We have narrowed the focus of the review to smoking, as the majority of findings on hormonal and aging influences on drug use have come from this area of research. Further, we highlight female-specific issues such as transitional menopause and exogenous estrogen use. These issues may impact drug use cessation as well as outcomes with aging and age-related neurodegenerative diseases in women. We first review clinical studies for smoking, normal aging, and pathological aging, and discuss the few aging-related studies taking smoking history into account. Conversely, we highlight the dearth of clinical smoking studies taking age as a biological variable into account. Preclinical and clinical literature show that aging, age-related pathological brain disease, and addiction engage overlapping neural mechanisms. We hypothesize that these putative drivers interact in meaningful ways that may exacerbate disease and hinder successful treatment outcomes in such comorbid populations. We highlight areas where preclinical studies are needed to uncover neural mechanisms in aging and addiction processes. Collectively, this review highlights the need for crosstalk between different fields of research to address medical complexities of older adults, and specifically women, who smoke.
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Affiliation(s)
- Cassandra D. GIPSON
- Department of Family and Community Medicine, University of Kentucky, Lexington, KY
- Arizona Alzheimer’s Consortium
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27
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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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28
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Brynildsen JK, Blendy JA. Linking the CHRNA5 SNP to drug abuse liability: From circuitry to cellular mechanisms. Neuropharmacology 2021; 186:108480. [PMID: 33539855 PMCID: PMC7958463 DOI: 10.1016/j.neuropharm.2021.108480] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 12/10/2020] [Accepted: 01/28/2021] [Indexed: 10/22/2022]
Abstract
Genetics are known to be a significant risk factor for drug abuse. In human populations, the single nucleotide polymorphism (SNP) D398N in the gene CHRNA5 has been associated with addiction to nicotine, opioids, cocaine, and alcohol. In this paper, we review findings from studies in humans, rodent models, and cell lines and provide evidence that collectively suggests that the Chrna5 SNP broadly influences the response to drugs of abuse in a manner that is not substance-specific. This finding has important implications for our understanding of the role of the cholinergic system in reward and addiction vulnerability. This article is part of the special issue on 'Vulnerabilities to Substance Abuse.'
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Affiliation(s)
- Julia K Brynildsen
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Julie A Blendy
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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Wang C, Huang P, Shen Z, Qian W, Wang S, Jiaerken Y, Luo X, Li K, Zeng Q, Zhou C, Yang Y, Zhang M. Increased striatal functional connectivity is associated with improved smoking cessation outcomes: A preliminary study. Addict Biol 2021; 26:e12919. [PMID: 32436626 DOI: 10.1111/adb.12919] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 05/04/2020] [Accepted: 05/06/2020] [Indexed: 12/26/2022]
Abstract
The striatum is the critical area of reward processing and has been repeatedly linked to nicotine addiction. However, it remains unclear whether different smoking cessation outcomes (relapse or not) are associated with different functional connectivity changes of the striatum during smoking cessation treatment. A total of 30 treatment-seeking smokers were recruited in the study and underwent magnetic resonance imaging (MRI) scans immediately before and after a 12-week treatment with varenicline. After the 12-week treatment with varenicline, 14 subjects relapsed to smoking (relapsers), whereas 16 not relapsed (nonrelapsers). Changes in resting-state functional connectivity (rsFC) across groups and visits were assessed using repeated measures analysis of covariance (ANCOVA). Significant interaction effects were detected: (1) between left nucleus accumbens (NAc) and left orbitofrontal cortex (OFC), insula, inferior frontal gyrus (IFG), and bilateral precuneus; (2) between right NAc and left insula, IFG, and bilateral dorsolateral prefrontal cortex (DLPFC); and (3) between bilateral putamen and left precuneus. Post hoc region-of-interest analyses in brain areas showing interaction effects indicated significantly decreased rsFC after treatment compared with before treatment in relapsers but opposite longitudinal changes in nonrelapers. These novel findings suggest that increased striatal rsFC is associated with improved smoking cessation outcomes. These striatal functional circuits may serve as potential therapeutic targets for more efficacious treatment of nicotine addiction.
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Affiliation(s)
- Chao Wang
- 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
| | - Zhujing Shen
- 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
| | - Shuyue Wang
- Department of Radiology, the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China
| | - Yeerfan Jiaerken
- Department of Radiology, the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China
| | - Xiao Luo
- Department of Radiology, the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China
| | - Kaicheng Li
- Department of Radiology, the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China
| | - Qingze Zeng
- Department of Radiology, the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China
| | - Cheng Zhou
- 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 USA
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China
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Modak P, Hutslar C, Polk R, Atkinson E, Fisher L, Macy J, Chassin L, Presson C, Finn PR, Brown JW. Neural bases of risky decisions involving nicotine vapor versus monetary reward. NEUROIMAGE: CLINICAL 2021; 32:102869. [PMID: 34768145 PMCID: PMC8591353 DOI: 10.1016/j.nicl.2021.102869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 10/26/2021] [Accepted: 10/27/2021] [Indexed: 11/06/2022] Open
Abstract
• Most studies of addiction with fMRI use only money reward. • Little is known about the neural basis of real-time drug use decisions. • Subjects gambled for either money or immediate nicotine vape reward in scanner. • The neural response to immediate drug reward is different from monetary reward. • Money reward has limitations as a proxy for studying addiction.
Substantial effort has gone into neuroimaging studies of neural mechanisms underlying addiction. Human studies of smoking typically either give monetary reward during an fMRI task or else allow subjects to smoke outside the scanner, after the session. This raises a fundamental issue of construct validity, as it is unclear whether the same neural mechanisms process decisions about nicotine that process decisions about money. To address this, we developed a novel MR-compatible nicotine vaping device, such that access to nicotine vapor could be controlled and monitored. We recruited heavy smokers (Money: 45 subjects, 13 females and 32 males; Nicotine: 21 subjects, 4 females and 17 males) to perform a gambling task with nicotine and monetary reward on separate days. We collected BOLD fMRI data while they performed the task inside the scanner and analyzed it using general linear modeling, with inference based on cluster-size correction. This allowed a direct comparison between the neural mechanisms of choosing and receiving immediate drug vs. monetary reward. We found substantial differences in the neural mechanisms that underlie risky choices about money vs. drug reward, including a reversal of the well-known error effects in the medial prefrontal cortex.
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Effects of long-term cocaine self-administration on brain resting-state functional connectivity in nonhuman primates. Transl Psychiatry 2020; 10:420. [PMID: 33268770 PMCID: PMC7710734 DOI: 10.1038/s41398-020-01101-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 10/02/2020] [Accepted: 11/10/2020] [Indexed: 12/21/2022] Open
Abstract
Long-term cocaine use is associated with a variety of neural and behavioral deficits that impact daily function. This study was conducted to examine the effects of chronic cocaine self-administration on resting-state functional connectivity of the dorsal anterior cingulate (dACC) and putamen-two brain regions involved in cognitive function and motoric behavior-identified in a whole brain analysis. Six adult male squirrel monkeys self-administered cocaine (0.32 mg/kg/inj) over 140 sessions. Six additional monkeys that had not received any drug treatment for ~1.5 years served as drug-free controls. Resting-state fMRI imaging sessions at 9.4 Tesla were conducted under isoflurane anesthesia. Functional connectivity maps were derived using seed regions placed in the left dACC or putamen. Results show that cocaine maintained robust self-administration with an average total intake of 367 mg/kg (range: 299-424 mg/kg). In the cocaine group, functional connectivity between the dACC seed and regions primarily involved in motoric behavior was weaker, whereas connectivity between the dACC seed and areas implicated in reward and cognitive processing was stronger. In the putamen seed, weaker widespread connectivity was found between the putamen and other motor regions as well as with prefrontal areas that regulate higher-order executive function; stronger connectivity was found with reward-related regions. dACC connectivity was associated with total cocaine intake. These data indicate that functional connectivity between regions involved in motor, reward, and cognitive processing differed between subjects with recent histories of cocaine self-administration and controls; in dACC, connectivity appears to be related to cumulative cocaine dosage during chronic exposure.
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Brief mindfulness training increased glutamate metabolism in the anterior cingulate cortex. Neuroreport 2020; 31:1142-1145. [PMID: 32991525 DOI: 10.1097/wnr.0000000000001527] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mindfulness meditation has become a promising intervention for promoting health and well-being. Neuroimaging studies have shown its beneficial effects on brain functional activity, connectivity, and structures following months to years of practice. A series of randomized controlled trials indicated that one form of mindfulness meditation, the integrative body-mind training (IBMT) induces brain functional and structural changes in brain regions related to self-control networks such as the anterior cingulate cortex (ACC) after 2-10 h of practice. However, whether IBMT could change brain metabolism in the ACC remains unexplored. Utilizing a noninvasive 3T proton magnetic resonance spectroscopy, our results showed a significant increase in glutamate metabolism in the rostral ACC following 10 h of IBMT, suggesting that brief training not only increases ACC activity and structure, but also induces neurochemical changes in regions of the self-control networks. To our knowledge, this is the first study demonstrating the positive effects on brain metabolism in the ACC following brief intervention, suggesting a potential mechanism and implications of mindfulness meditation in ameliorating disorders such as addiction, depression and schizophrenia, which often involve the dysfunction of self-control networks and glutamatergic system (i.e. lower glutamate metabolism).
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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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Short-term nicotine deprivation alters dorsal anterior cingulate glutamate concentration and concomitant cingulate-cortical functional connectivity. Neuropsychopharmacology 2020; 45:1920-1930. [PMID: 32559759 PMCID: PMC7608204 DOI: 10.1038/s41386-020-0741-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/20/2020] [Accepted: 06/09/2020] [Indexed: 12/21/2022]
Abstract
Most cigarette smokers who wish to quit too often relapse within the first few days of abstinence, primarily due to the aversive aspects of the nicotine withdrawal syndrome (NWS), which remains poorly understood. Considerable research has suggested that the dorsal anterior cingulate cortex (dACC) plays a key role in nicotine dependence, with its functional connections between other brain regions altered as a function of trait addiction and state withdrawal. The flow of information between dACC and fronto-striatal regions is secured through different pathways, the vast majority of which are glutamatergic. As such, we investigated dACC activity using resting state functional connectivity (rsFC) with functional magnetic resonance imaging (fMRI) and glutamate (Glu) concentration with magnetic resonance spectroscopy (MRS). We also investigated the changes in adenosine levels in plasma during withdrawal as a surrogate for brain adenosine, which plays a role in fine-tuning synaptic glutamate transmission. Using a double-blind, placebo-controlled, randomized crossover design, nontreatment seeking smoking participants (N = 30) completed two imaging sessions, one while nicotine sated and another after 36 h nicotine abstinence. We observed reduced dACC Glu (P = 0.029) along with a significant reduction in plasma adenosine (P = 0.03) and adenosine monophosphate (AMP; P < 0.0001) concentrations during nicotine withdrawal in comparison with nicotine sated state. This withdrawal state manipulation also led to an increase in rsFC strength (P < 0.05) between dACC and several frontal cortical regions, including left superior frontal gyrus (LSFG), and right middle frontal gyrus (RMFG). Moreover, the state-trait changes in dACC Glu and rsFC strength between the dACC and both SFG and MFG were positively correlated (P = 0.012, and P = 0.007, respectively). Finally, the change in circuit strength between dACC and LSFG was negatively correlated with the change in withdrawal symptom manifestations as measured by the Wisconsin Smoking Withdrawal Scale (P = 0.04) and Tobacco Craving Questionnaire (P = 0.014). These multimodal imaging-behavioral findings reveal the complex cascade of changes induced by acute nicotine deprivation and call for further investigation into the potential utility of adenosine- and glutamate-signaling as novel therapeutic targets to treat the NWS.
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Functional parcellation of the default mode network: a large-scale meta-analysis. Sci Rep 2020; 10:16096. [PMID: 32999307 PMCID: PMC7528067 DOI: 10.1038/s41598-020-72317-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 08/19/2020] [Indexed: 11/08/2022] Open
Abstract
The default mode network (DMN) consists of several regions that selectively interact to support distinct domains of cognition. Of the various sites that partake in DMN function, the posterior cingulate cortex (PCC), temporal parietal junction (TPJ), and medial prefrontal cortex (MPFC) are frequently identified as key contributors. Yet, it remains unclear whether these subcomponents of the DMN make unique contributions to specific cognitive processes and health conditions. To address this issue, we applied a meta-analytic parcellation approach used in prior work. This approach used the Neurosynth database and classification methods to quantify the association between PCC, TPJ, and MPFC activation and specific topics related to cognition and health (e.g., decision making and smoking). Our analyses replicated prior observations that the PCC, TPJ, and MPFC collectively support multiple cognitive functions such as decision making, memory, and awareness. To gain insight into the functional organization of each region, we parceled each region based on its coactivation pattern with the rest of the brain. This analysis indicated that each region could be further subdivided into functionally distinct subcomponents. Taken together, we further delineate DMN function by demonstrating the relative strengths of association among subcomponents across a range of cognitive processes and health conditions. A continued attentiveness to the specialization within the DMN allows future work to consider the nuances in sub-regional contributions necessary for healthy cognition, as well as create the potential for more targeted treatment protocols in various health conditions.
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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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McConnell PA, Garland EL, Zubieta J, Newman‐Norlund R, Powers S, Froeliger B. Impaired frontostriatal functional connectivity among chronic opioid using pain patients is associated with dysregulated affect. Addict Biol 2020; 25:e12743. [PMID: 30945801 DOI: 10.1111/adb.12743] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 01/21/2019] [Accepted: 02/10/2019] [Indexed: 12/11/2022]
Abstract
Preclinical studies have shown effects of chronic exposure to addictive drugs on glutamatergic-mediated neuroplasticity in frontostriatal circuitry. These initial findings have been paralleled by human functional magnetic resonance imaging (fMRI) research demonstrating weaker frontostriatal resting-state functional connectivity (rsFC) among individuals with psychostimulant use disorders. However, there is a dearth of human imaging literature describing associations between long-term prescription opioid use, frontostriatal rsFC, and brain morphology among chronic pain patients. We hypothesized that prescription opioid users with chronic pain, as compared with healthy control subjects, would evidence weaker frontostriatal rsFC coupled with less frontostriatal gray matter volume (GMV). Further, those opioid use-related deficits in frontostriatal circuitry would be associated with negative affect and drug misuse. Prescription opioid users with chronic pain (n = 31) and drug-free healthy controls (n = 30) underwent a high-resolution anatomical and an eyes-closed resting-state functional scan. The opioid group, relative to controls, exhibited weaker frontostriatal rsFC, and less frontostriatal GMV in both L.NAc and L.vmPFC. Frontostriatal rsFC partially mediated group differences in negative affect. Within opioid users, L.NAc GMV predicted opioid misuse severity. The current study revealed that prescription opioid use in the context of chronic pain is associated with functional and structural abnormalities in frontostriatal circuitry. These results suggest that opioid use-related abnormalities in frontostriatal circuitry may undergird disturbances in affect that may contribute to the ongoing maintenance of opioid use and misuse. These findings warrant further examination of interventions to treat opioid pathophysiology in frontostriatal circuitry over the course of treatment.
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Affiliation(s)
- Patrick A. McConnell
- Department of NeuroscienceMedical University of South Carolina Charleston South Carolina USA
| | - Eric L. Garland
- Center on Mindfulness and Integrative Health Intervention DevelopmentUniversity of Utah Salt Lake City Utah USA
- College of Social WorkUniversity of Utah Salt Lake City Utah USA
| | - Jon‐Kar Zubieta
- Department of PsychiatryUniversity of Utah Salt Lake City Utah USA
- University Neuropsychiatric InstituteUniversity of Utah Salt Lake City Utah USA
| | - Roger Newman‐Norlund
- Department of PsychologyUniversity of South Carolina Columbia South Carolina USA
| | - Shannon Powers
- Department of NeuroscienceMedical University of South Carolina Charleston South Carolina USA
| | - Brett Froeliger
- Department of NeuroscienceMedical University of South Carolina Charleston South Carolina USA
- Hollings Cancer CenterMedical University of South Carolina Charleston South Carolina USA
- Center for Biomedical ImagingMedical University of South Carolina Charleston South Carolina USA
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Claus ED, Weywadt CR. Resting-State Connectivity in Former, Current, and Never Smokers. Nicotine Tob Res 2020; 22:180-187. [PMID: 30590742 DOI: 10.1093/ntr/nty266] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 12/19/2018] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Understanding the neural mechanisms that support successful smoking cessation is vital to the development of novel treatments for nicotine dependence. METHOD To this end, we compared resting-state functional connectivity across three smoking groups: current, never, and former smokers. We used an independent component analysis (ICA) that allowed us to compare differences in intrinsic, large-scale networks across our groups. Using this technique, we were able to compare group differences across resting-state networks without the requirement of identifying coordinate-based regions of interest. RESULTS Overall, the ICA resulted in networks that were largely consistent with previous reports, including bilateral executive control networks, salience, and a default mode network. Group comparisons among the three groups revealed differences in three networks including sensorimotor, dorsal attention, and default mode networks, with differences localized to pre/postcentral gyrus, lateral occipital cortex, and superior parietal lobe. In all regions showing a difference, current smokers showed increased network amplitude compared to former and never smokers. CONCLUSION Although some theoretical models of recovery have suggested an important role of frontal cortex and cognitive control, the current results seem to suggest that reductions in posterior regions including superior parietal lobe and somatosensory cortex may play a key role in maintaining long-term abstinence from cigarettes. IMPLICATIONS The submitted research is a novel contribution to the study of successful nicotine abstinence, in part, because it includes individuals who have successfully overcome nicotine dependence. The use of ICA allowed for examination of large-scale resting-state networks throughout the brain without the need for specifying numerous regions of interest. This research supports the view that overcoming nicotine dependence may depend on reducing spontaneous activity in posterior regions of the brain rather than solely enhancing frontal control.
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Affiliation(s)
- Eric D Claus
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM
| | - Christina R Weywadt
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM
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Aronson Fischell S, Ross TJ, Deng ZD, Salmeron BJ, Stein EA. Transcranial Direct Current Stimulation Applied to the Dorsolateral and Ventromedial Prefrontal Cortices in Smokers Modifies Cognitive Circuits Implicated in the Nicotine Withdrawal Syndrome. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:448-460. [PMID: 32151567 DOI: 10.1016/j.bpsc.2019.12.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 12/30/2019] [Accepted: 12/31/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND The nicotine withdrawal syndrome remains a major impediment to smoking cessation. Cognitive and affective disturbances are associated with altered connectivity within and between the executive control network, default mode network (DMN), and salience network. We hypothesized that functional activity in cognitive control networks, and downstream amygdala circuits, would be modified by application of transcranial direct current stimulation (tDCS) to the left (L) dorsolateral prefrontal cortex (dlPFC, executive control network) and right (R) ventromedial prefrontal cortex (vmPFC, DMN). METHODS A total of 15 smokers (7 women) and 28 matched nonsmokers (14 women) participated in a randomized, sham-controlled, double-blind, exploratory crossover study of 3 tDCS conditions: anodal-(L)dlPFC/cathodal-(R)vmPFC, reversed polarity, and sham. Cognitive tasks probed withdrawal-related constructs (error monitoring, working memory, amygdalar reactivity), while simultaneous functional magnetic resonance imaging measured brain activity. We assessed tDCS impact on trait (nonsmokers vs. sated smokers) and state (sated vs. abstinent) smoking aspects. RESULTS Single-session, anodal-(L)dlPFC/cathodal-(R)vmPFC tDCS enhanced deactivation of DMN nodes during the working memory task and strengthened anterior cingulate cortex activity during the error-monitoring task. Smokers were more responsive to tDCS-induced DMN deactivation when sated (vs. withdrawn) and displayed greater cingulate activity during error monitoring than nonsmokers. Nicotine withdrawal reduced task engagement and attention and reduced suppression of DMN nodes. CONCLUSIONS Cognitive circuit dysregulation associated with nicotine withdrawal may be modifiable by anodal tDCS applied to L-dlPFC and cathodal tDCS applied to R-vmPFC. tDCS may have stronger effects as a complement to existing therapies, such as nicotine replacement, owing to possible enhanced plasticity in the sated state.
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Affiliation(s)
- Sarah Aronson Fischell
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, Maryland; School of Medicine, University of Maryland, Baltimore, Maryland
| | - Thomas J Ross
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, Maryland
| | - Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, Bethesda, Maryland
| | - Betty Jo Salmeron
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, Maryland
| | - Elliot A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, Maryland.
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Wang Y, Yan KJ, Fan CX, Luo XN, Zhou Y. Altered functional connectivity of the nucleus accumbens subdivisions in amphetamine-type stimulant abusers: a resting-state fMRI study. BMC Neurosci 2019; 20:66. [PMID: 31888484 PMCID: PMC6937793 DOI: 10.1186/s12868-019-0548-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 12/20/2019] [Indexed: 12/18/2022] Open
Abstract
Background The growing abuse of amphetamine-type stimulants leads to new challenges to human health. A possible addiction mechanism has been proposed by altered functional architecture of the nucleus accumbens (NAc) during resting state. NAc contains different subdivisions and they may play different roles in addiction. The aim of the present study was to examine whether there are common or distinct patterns of functional connectivity of the NAc subdivisions in amphetamine-type stimulant abusers (ATSAs). Methods The present study recruited 17 male ATSAs and 22 healthy male controls. All the subjects underwent resting-state functional magnetic resonance imaging (fMRI) with their eyes closed. The NAc was divided into core-like and shell-like subdivisions. We used seed-based resting-state functional connectivity (RSFC) analyses to identify differences in brain functional architecture between ATSAs and healthy controls (HCs). Results ATSAs had lower positive RSFCs with all of the NAc subdivisions over the left orbital part of superior frontal gyrus and higher positive RSFCs with the NAc subdivisions over the left opercular part of inferior frontal gyrus than HCs, which indicates common abnormalities across the NAc subdivisions in ATSAs. In addition, the RSFCs between the NAc subdivisions and the left orbital part of superior frontal gyrus were negatively correlated with the addiction severity in ATSAs. Conclusion These results provide evidence that there are common RSFC patterns of the NAc subdivisions in ATSAs. The abnormality indicated by disrupted functional connectivity between the NAc subdivisions and prefrontal cortex suggests abnormal interaction between the rewarding process and cognitive control in ATSAs. Our results shed insight on the neurobiological mechanisms of ATSA and suggest potential novel therapeutic targets for treatment and intervention of ATSAs.
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Affiliation(s)
- Yun Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Kai-Juan Yan
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chen-Xiao Fan
- The Second Hospital of Jinhua City, Jinhua, Zhejiang, China
| | - Xiao-Nian Luo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Beijing, China. .,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China. .,Key Laboratory of Behavioral Science & Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. .,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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41
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Steele VR, Maxwell AM, Ross TJ, Stein EA, Salmeron BJ. Accelerated Intermittent Theta-Burst Stimulation as a Treatment for Cocaine Use Disorder: A Proof-of-Concept Study. Front Neurosci 2019; 13:1147. [PMID: 31736689 PMCID: PMC6831547 DOI: 10.3389/fnins.2019.01147] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 10/11/2019] [Indexed: 11/15/2022] Open
Abstract
There are no effective treatments for cocaine use disorder (CUD), a chronic, relapsing brain disease characterized by dysregulated circuits related to cue reactivity, reward processing, response inhibition, and executive control. Transcranial magnetic stimulation (TMS) has the potential to modulate circuits and networks implicated in neuropsychiatric disorders, including addiction. Although acute applications of TMS have reduced craving in urine-negative cocaine users, the tolerability and safety of administering accelerated TMS to cocaine-positive individuals is unknown. As such, we performed a proof-of-concept study employing an intermittent theta-burst stimulation (iTBS) protocol in an actively cocaine-using sample. Although our main goal was to assess the tolerability and safety of administering three iTBS sessions daily, we also hypothesized that iTBS would reduce cocaine use in this non-treatment seeking cohort. We recruited 19 individuals with CUD to receive three open-label iTBS sessions per day, with approximately a 60-min interval between sessions, for 10 days over a 2-week period (30 total iTBS sessions). iTBS was delivered to left dorsolateral prefrontal cortex (dlPFC) with neuronavigation guidance. Compliance and safety were assessed throughout the trial. Cocaine use behavior was assessed before, during, and after the intervention and at 1- and 4-week follow-up visits. Of the 335 iTBS sessions applied, 73% were performed on participants with cocaine-positive urine tests. Nine of the 14 participants who initiated treatment received at least 26 of 30 iTBS sessions and returned for the 4-week follow-up visit. These individuals reduced their weekly cocaine consumption by 78% in amount of dollars spent and 70% in days of use relative to pre-iTBS cocaine use patterns. Similarly, individuals reduced their weekly consumption of nicotine, alcohol, and THC, suggesting iTBS modulated a common circuit across drugs of abuse. iTBS was well-tolerated, despite the expected occasional headaches. A single participant developed a transient neurological event of uncertain etiology on iTBS day 9 and cocaine-induced psychosis 2 weeks after discontinuation. It thus appears that accelerated iTBS to left dlPFC administered in active, chronic cocaine users is both feasible and tolerable in actively using cocaine participants with preliminary indications of efficacy in reducing both the amount and frequency of cocaine (and other off target drug) use. The neural underpinnings of these behavioral changes could help in the future development of effective treatment of CUD.
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Affiliation(s)
- Vaughn R Steele
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, United States.,Center on Compulsive Behaviors, Intramural Research Program, National Institutes of Health, Bethesda, MD, United States
| | - Andrea M Maxwell
- Medical Scientist Training Program, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Thomas J Ross
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, United States
| | - Elliot A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, United States
| | - Betty Jo Salmeron
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, United States
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42
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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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43
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Faulkner P, Ghahremani DG, Tyndale RF, Paterson NE, Cox C, Ginder N, Hellemann G, London ED. Neural basis of smoking-induced relief of craving and negative affect: Contribution of nicotine. Addict Biol 2019; 24:1087-1095. [PMID: 30307083 DOI: 10.1111/adb.12679] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 08/23/2018] [Accepted: 08/24/2018] [Indexed: 01/22/2023]
Abstract
Smoking-induced relief of craving and withdrawal promotes continued cigarette use. Understanding how relief is produced and the role of nicotine in this process may facilitate development of new smoking-cessation therapies. As the US Food and Drug Administration considers setting a standard for reduced nicotine content in cigarettes to improve public health, knowledge of how nicotine contributes to relief also can inform policy. We assessed effects of nicotine using resting state functional magnetic resonance imaging (MRI) and behavioral assessments of craving and negative affect. Twenty-one young (18-25 years old) daily smokers underwent overnight abstinence on 4 days. On each of the following mornings, they self-rated their cigarette craving and negative affect and underwent resting-state functional MRI (fMRI) before and after smoking a cigarette that delivered 0.027, 0.110, 0.231, or 0.763 mg of nicotine. Functional connectivity between the anterior insula and anterior cingulate cortex (ACC) and between the nucleus accumbens and orbitofrontal cortex (OFC) was assessed. Smoking reduced craving, negative affect, and nucleus accumbens-OFC connectivity irrespective of nicotine dose, with positive correlations of the effects on behavioral and connectivity measures. Only the highest nicotine dose (0.763 mg) reduced right anterior insula-ACC connectivity; this reduction was positively correlated with the behavioral effects of the 0.763-mg dose only. While nicotine-based therapies may act on right anterior insula-ACC functional circuits to facilitate smoking cessation, non-nicotine (eg, the conditioned and sensorimotor) aspects of smoking may promote cessation by reducing OFC-accumbens connectivity to alleviate withdrawal.
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Affiliation(s)
- Paul Faulkner
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior; University of California, Los Angeles; Los Angeles California
| | - Dara G. Ghahremani
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior; University of California, Los Angeles; Los Angeles California
| | - Rachel F. Tyndale
- Campbell Family Mental Health Research Institute, Centre for Addiction & Mental Health (CAMH), Departments of Pharmacology & Toxicology and Psychiatry; University of Toronto; Toronto Ontario Canada
| | - Neil E. Paterson
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior; University of California, Los Angeles; Los Angeles California
| | - Chelsea Cox
- Department of Psychology; University of Illinois; Chicago Illinois
| | - Nathaniel Ginder
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior; University of California, Los Angeles; Los Angeles California
| | - Gerhard Hellemann
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior; University of California, Los Angeles; Los Angeles California
| | - Edythe D. London
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior; University of California, Los Angeles; Los Angeles California
- Department of Molecular and Medical Pharmacology; University of California, Los Angeles; Los Angeles California
- The Brain Research Institute; University of California, Los Angeles; Los Angeles California
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44
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Hsu LM, Keeley RJ, Liang X, Brynildsen JK, Lu H, Yang Y, Stein EA. Intrinsic Insular-Frontal Networks Predict Future Nicotine Dependence Severity. J Neurosci 2019; 39:5028-5037. [PMID: 30992371 PMCID: PMC6670258 DOI: 10.1523/jneurosci.0140-19.2019] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 03/27/2019] [Accepted: 04/06/2019] [Indexed: 01/01/2023] Open
Abstract
Although 60% of the US population have tried smoking cigarettes, only 16% smoke regularly. Identifying this susceptible subset of the population before the onset of nicotine dependence may encourage targeted early interventions to prevent regular smoking and/or minimize severity. While prospective neuroimaging in human populations can be challenging, preclinical neuroimaging models before chronic nicotine administration can help to develop translational biomarkers of disease risk. Chronic, intermittent nicotine (0, 1.2, or 4.8 mg/kg/d; N = 10-11/group) was administered to male Sprague Dawley rats for 14 d; dependence severity was quantified using precipitated withdrawal behaviors collected before, during, and following forced nicotine abstinence. Resting-state fMRI functional connectivity (FC) before drug administration was subjected to a graph theory analytical framework to form a predictive model of subsequent individual differences in nicotine dependence. Whole-brain modularity analysis identified five modules in the rat brain. A metric of intermodule connectivity, participation coefficient, of an identified insular-frontal cortical module predicted subsequent dependence severity, independent of nicotine dose. To better spatially isolate this effect, this module was subjected to a secondary exploratory modularity analysis, which segregated it into three submodules (frontal-motor, insular, and sensory). Higher FC among these three submodules and three of the five originally identified modules (striatal, frontal-executive, and sensory association) also predicted dependence severity. These data suggest that predispositional, intrinsic differences in circuit strength between insular-frontal-based brain networks before drug exposure may identify those at highest risk for the development of nicotine dependence.SIGNIFICANCE STATEMENT Developing biomarkers of individuals at high risk for addiction before the onset of this brain-based disease is essential for prevention, early intervention, and/or subsequent treatment decisions. Using a rodent model of nicotine dependence and a novel data-driven, network-based analysis of resting-state fMRI data collected before drug exposure, functional connections centered on an intrinsic insular-frontal module predicted the severity of nicotine dependence after drug exposure. The predictive capacity of baseline network measures was specific to inter-regional but not within-region connectivity. While insular and frontal regions have consistently been implicated in nicotine dependence, this is the first study to reveal that innate, individual differences in their circuit strength have the predictive capacity to identify those at greatest risk for and resilience to drug dependence.
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Affiliation(s)
- Li-Ming Hsu
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, Maryland 21224, and
| | - Robin J Keeley
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, Maryland 21224, and
| | - Xia Liang
- Research Center of Basic Space Science, Harbin Institute of Technology, Nangang Qu, Haerbin Shi 150001, Heilongjiang Sheng, People's Republic of China
| | - Julia K Brynildsen
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, Maryland 21224, and
| | - Hanbing Lu
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, Maryland 21224, and
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, Maryland 21224, and
| | - Elliot A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, Maryland 21224, and
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45
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Lin D, Hutchison KE, Portillo S, Vegara V, Ellingson JM, Liu J, Krauter KS, Carroll-Portillo A, Calhoun VD. Association between the oral microbiome and brain resting state connectivity in smokers. Neuroimage 2019; 200:121-131. [PMID: 31201984 DOI: 10.1016/j.neuroimage.2019.06.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 06/11/2019] [Accepted: 06/11/2019] [Indexed: 10/26/2022] Open
Abstract
Recent studies have shown a critical role of the gastrointestinal microbiome in brain and behavior via the complex gut-microbiome-brain axis. However, the influence of the oral microbiome in neurological processes is much less studied, especially in response to the stimuli, such as smoking, within the oral microenvironment. Additionally, given the complex structural and functional networks in brain, our knowledge about the relationship between microbiome and brain function through specific brain circuits is still very limited. In this pilot study, we leveraged next generation sequencing for microbiome and functional neuroimaging technique to enable the delineation of microbiome-brain network links as well as their relationship to cigarette smoking. Thirty smokers and 30 age- and sex-matched nonsmokers were recruited for 16S sequencing of their oral microbial community. Among them, 56 subjects were scanned by resting-state functional magnetic resonance imaging to derive brain functional networks. Statistical analyses were performed to demonstrate the influence of smoking on the oral microbial composition, functional network connectivity, and the associations between microbial shifts and functional network connectivity alternations. Compared to nonsmokers, we found a significant decrease of beta diversity (P = 6 × 10-3) in smokers and identified several classes (Betaproteobacteria, Spirochaetia, Synergistia, and Mollicutes) with significant alterations in microbial abundance. Pathway analysis on the predicted KEGG pathways shows that the microbiota with altered abundance are mainly involved in pathways related to cell processes, DNA repair, immune system, and neurotransmitters signaling. One brain functional network connectivity component was identified to have a significant difference between smokers and nonsmokers (P = 0.032), mainly including connectivity between brain default network and other task-positive networks. This brain functional component was also significantly associated with smoking related microbiota, suggesting a correlated cross-individual pattern between smoking-induced oral microbiome dysbiosis and brain functional connectivity alternation, possibly involving immunological and neurotransmitter signaling pathways. This work is the first attempt to link oral microbiome and brain functional networks, and provides support for future work in characterizing the role of oral microbiome in mediating smoking effects on brain activity.
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Affiliation(s)
- Dongdong Lin
- The Mind Research Network, Albuquerque, NM, 87106, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, GA, 30303, USA.
| | - Kent E Hutchison
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, 80309, USA
| | - Salvador Portillo
- University of New Mexico, Department of Electrical and Computer Engineering, Albuquerque, NM, 87106, USA
| | - Victor Vegara
- The Mind Research Network, Albuquerque, NM, 87106, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, GA, 30303, USA
| | - Jarrod M Ellingson
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, 80309, USA
| | - Jingyu Liu
- The Mind Research Network, Albuquerque, NM, 87106, USA; University of New Mexico, Department of Electrical and Computer Engineering, Albuquerque, NM, 87106, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, GA, 30303, USA
| | - Kenneth S Krauter
- Molecular,Cellular,and Developmental Biology, University of Colorado Boulder, Boulder, 80309, USA
| | - Amanda Carroll-Portillo
- University of New Mexico, Department of Electrical and Computer Engineering, Albuquerque, NM, 87106, USA
| | - Vince D Calhoun
- The Mind Research Network, Albuquerque, NM, 87106, USA; University of New Mexico, Department of Electrical and Computer Engineering, Albuquerque, NM, 87106, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, GA, 30303, USA
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46
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Popa T, Morris LS, Hunt R, Deng ZD, Horovitz S, Mente K, Shitara H, Baek K, Hallett M, Voon V. Modulation of Resting Connectivity Between the Mesial Frontal Cortex and Basal Ganglia. Front Neurol 2019; 10:587. [PMID: 31275221 PMCID: PMC6593304 DOI: 10.3389/fneur.2019.00587] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 05/17/2019] [Indexed: 12/13/2022] Open
Abstract
Background: The mesial prefrontal cortex, cingulate cortex, and the ventral striatum are key nodes of the human mesial fronto-striatal circuit involved in decision-making and executive function and pathological disorders. Here we ask whether deep wide-field repetitive transcranial magnetic stimulation (rTMS) targeting the mesial prefrontal cortex (MPFC) influences resting state functional connectivity. Methods: In Study 1, we examined functional connectivity using resting state multi-echo and independent components analysis in 154 healthy subjects to characterize default connectivity in the MPFC and mid-cingulate cortex (MCC). In Study 2, we used inhibitory, 1 Hz deep rTMS with the H7-coil targeting MPFC and dorsal anterior cingulate (dACC) in a separate group of 20 healthy volunteers and examined pre- and post-TMS functional connectivity using seed-based and independent components analysis. Results: In Study 1, we show that MPFC and MCC have distinct patterns of functional connectivity with MPFC-ventral striatum showing negative, whereas MCC-ventral striatum showing positive functional connectivity. Low-frequency rTMS decreased functional connectivity of MPFC and dACC with the ventral striatum. We further showed enhanced connectivity between MCC and ventral striatum. Conclusions: These findings emphasize how deep inhibitory rTMS using the H7-coil can influence underlying network functional connectivity by decreasing connectivity of the targeted MPFC regions, thus potentially enhancing response inhibition and decreasing drug-cue reactivity processes relevant to addictions. The unexpected finding of enhanced default connectivity between MCC and ventral striatum may be related to the decreased influence and connectivity between the MPFC and MCC. These findings are highly relevant to the treatment of disorders relying on the mesio-prefrontal-cingulo-striatal circuit.
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Affiliation(s)
- Traian Popa
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Laurel S. Morris
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Rachel Hunt
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
- Oakland University William Beaumont School of Medicine, Rochester, MI, United States
| | - Zhi-De Deng
- Non-Invasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Silvina Horovitz
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Karin Mente
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Hitoshi Shitara
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Kwangyeol Baek
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Mark Hallett
- Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Valerie Voon
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
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47
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Madeo G, Bonci A. Rewiring the Addicted Brain: Circuits-Based Treatment for Addiction. COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY 2019; 83:173-184. [PMID: 31097615 DOI: 10.1101/sqb.2018.83.038158] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The advent of the noninvasive brain stimulation (NIBS) technique has paved the way for neural circuit-based treatments for addiction. Recently, evidence from both preclinical and clinical studies has evaluated the use of transcranial magnetic stimulation (TMS) as a safe and cost-effective therapeutic tool for substance use disorders (SUDs). Indeed, repetitive TMS impacts on neural activity inducing short- and long-term effects involving neuroplasticity mechanisms locally within the target area of stimulation and the network level throughout the brain. Here, we provide an integrated view of evidence highlighting the mechanisms of TMS-induced effects on modulating the maladaptive brain circuitry of addiction. We then review the preclinical and clinical findings suggesting rTMS as an effective interventional tool for the treatment of SUDs.
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Affiliation(s)
- Graziella Madeo
- Novella Fronda Foundation, Human Science and Brain Research Piazza Castello, 16-35141 Padua, Italy.,Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Antonello Bonci
- Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland 21224, USA.,Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.,Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
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48
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Wilcox CE, Abbott CC, Calhoun VD. Alterations in resting-state functional connectivity in substance use disorders and treatment implications. Prog Neuropsychopharmacol Biol Psychiatry 2019; 91:79-93. [PMID: 29953936 PMCID: PMC6309756 DOI: 10.1016/j.pnpbp.2018.06.011] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Revised: 06/18/2018] [Accepted: 06/23/2018] [Indexed: 02/06/2023]
Abstract
Substance use disorders (SUD) are diseases of the brain, characterized by aberrant functioning in the neural circuitry of the brain. Resting state functional connectivity (rsFC) can illuminate these functional changes by measuring the temporal coherence of low-frequency fluctuations of the blood oxygenation level-dependent magnetic resonance imaging signal in contiguous or non-contiguous regions of the brain. Because this data is easy to obtain and analyze, and therefore fairly inexpensive, it holds promise for defining biological treatment targets in SUD, which could help maximize the efficacy of existing clinical interventions and develop new ones. In an effort to identify the most likely "treatment targets" obtainable with rsFC we summarize existing research in SUD focused on 1) the relationships between rsFC and functionality within important psychological domains which are believed to underlie relapse vulnerability 2) changes in rsFC from satiety to deprived or abstinent states 3) baseline rsFC correlates of treatment outcome and 4) changes in rsFC induced by treatment interventions which improve clinical outcomes and reduce relapse risk. Converging evidence indicates that likely "treatment target" candidates, emerging consistently in all four sections, are reduced connectivity within executive control network (ECN) and between ECN and salience network (SN). Other potential treatment targets also show promise, but the literature is sparse and more research is needed. Future research directions include data-driven prediction analyses and rsFC analyses with longitudinal datasets that incorporate time since last use into analysis to account for drug withdrawal. Once the most reliable biological markers are identified, they can be used for treatment matching, during preliminary testing of new pharmacological compounds to establish clinical potential ("target engagement") prior to carrying out costly clinical trials, and for generating hypotheses for medication repurposing.
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49
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Sakoglu U, Mete M, Esquivel J, Rubia K, Briggs R, Adinoff B. Classification of cocaine-dependent participants with dynamic functional connectivity from functional magnetic resonance imaging data. J Neurosci Res 2019; 97:790-803. [PMID: 30957276 DOI: 10.1002/jnr.24421] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 02/22/2019] [Accepted: 03/11/2019] [Indexed: 01/07/2023]
Abstract
Static functional connectivity (FC) analyses based on functional magnetic resonance imaging (fMRI) data have been extensively explored for studying various psychiatric conditions in the brain, including cocaine addiction. A recently emerging, more powerful technique, dynamic functional connectivity (DFC), studies how the FC dynamics change during the course of the fMRI experiments. The aim in this paper was to develop a computational approach, using a machine learning framework, to determine if DFC features were more successful than FC features in the classification of cocaine-dependent patients and healthy controls. fMRI data were obtained from of 25 healthy and 58 cocaine-dependent participants while performing a motor response inhibition task, stop signal task. Group independent component analysis was carried out on all participant data to compute spatially independent components (ICs). Eight ICs were selected manually as relevant brain networks, which were used to classify healthy versus cocaine-dependent participants. FC and DFC measures of the chosen IC pairs were used as features for the classification algorithm. Support Vector Machines were used for both feature selection/reduction and participant classification. Based on DFC with only seven IC pairs, participants were successfully classified with 95% accuracy (and with 90% accuracy with three IC pairs), whereas static FC yielded only 81% accuracy. Visual, sensorimotor, default mode, and executive control networks, amygdala, and insula played the most significant role in the DFC-based classification. These findings support the use of DFC-based classification of fMRI data as a potential biomarker for the identification of cocaine dependence.
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Affiliation(s)
- Unal Sakoglu
- Computer Engineering, University of Houston - Clear Lake, Houston, Texas
| | - Mutlu Mete
- Department of Computer Science, Texas A&M University - Commerce, Commerce, Texas
| | - John Esquivel
- Department of Computer Science, Texas A&M University - Commerce, Commerce, Texas
| | - Katya Rubia
- Institute of Psychiatry, King's College London, London, UK
| | - Richard Briggs
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Bryon Adinoff
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas.,VA North Texas Health Care System, Dallas, Texas.,School of Medicine, University of Colorado, Denver, Colorado
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50
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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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