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Zilverstand A, Parvaz MA, Moeller SJ, Kalayci S, Kundu P, Malaker P, Alia-Klein N, Gümüş ZH, Goldstein RZ. Whole-brain resting-state connectivity underlying impaired inhibitory control during early versus longer-term abstinence in cocaine addiction. Mol Psychiatry 2023; 28:3355-3364. [PMID: 37528227 PMCID: PMC10731999 DOI: 10.1038/s41380-023-02199-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 07/18/2023] [Accepted: 07/21/2023] [Indexed: 08/03/2023]
Abstract
Lapses in inhibitory control have been linked to relapse in human drug addiction. Evidence suggests differences in inhibitory control depending on abstinence duration, but the underlying neural mechanisms remain unknown. We hypothesized that early abstinence (2-5 days) would be characterized by the strongest impairments of inhibitory control and most wide-spread deviations in resting-state functional connectivity of brain networks, while longer-term abstinence (>30 days) would be characterized by weaker impairments as compared to healthy controls. In this laboratory-based cross-sectional study, we compared individuals with Cocaine Use Disorder (iCUD) during early (cocaine urine-positive: N = 19, iCUD+; 32% female; mean age: 46.8 years) and longer-term abstinence (cocaine urine-negative: N = 29, iCUD-; 15% female; mean age: 46.6 years) to healthy controls (N = 33; 24% female; mean age: 40.9 years). We compared the groups on inhibitory control performance (Stop-Signal Task) and, using a whole-brain graph theory analysis (638 region parcellation) of functional magnetic resonance imaging (fMRI) data, we tested for group differences in resting-state brain function (local/global efficiency). We characterized how resting-state brain function was associated with inhibitory control performance within iCUD. Inhibitory control performance was worst in the early abstinence group, and intermediate in the longer-term abstinence group, as compared to the healthy control group (P < 0.01). More recent use of cocaine (CUD+ > CUD- > healthy controls) was characterized by decreased efficiency in fronto-temporal and subcortical networks (primarily in the salience, semantic, and basal ganglia networks) and increased efficiency in visual networks. Importantly, a similar functional connectivity pattern characterized impaired inhibitory control performance within iCUD (all brain analyses P < 0.05, FWE-corrected). Together, we demonstrated that a similar pattern of systematic and widespread deviations in resting-state brain efficiency, extending beyond the networks commonly investigated in human drug addiction, is linked to both abstinence duration and inhibitory control deficits in iCUD.
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Affiliation(s)
- Anna Zilverstand
- Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Muhammad A Parvaz
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Scott J Moeller
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Selim Kalayci
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Prantik Kundu
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ceretype Neuromedicine, Cambridge, MA, USA
| | - Pias Malaker
- Tom and Anne Smith MD-PhD Program, School of Medicine, University of Missouri, Columbia, MO, USA
| | - Nelly Alia-Klein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zeynep H Gümüş
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rita Z Goldstein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Woisard K, Steinberg JL, Ma L, Zuniga E, Lennon M, Moeller FG. Executive control network resting state fMRI functional and effective connectivity and delay discounting in cocaine dependent subjects compared to healthy controls. Front Psychiatry 2023; 14:1117817. [PMID: 36911119 PMCID: PMC9997846 DOI: 10.3389/fpsyt.2023.1117817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
Resting state functional magnetic resonance imaging (fMRI) has been used to study functional connectivity of brain networks in addictions. However, most studies to-date have focused on the default mode network (DMN) with fewer studies assessing the executive control network (ECN) and salience network (SN), despite well-documented cognitive executive behavioral deficits in addictions. The present study assessed the functional and effective connectivity of the ECN, DMN, and SN in cocaine dependent subjects (CD) (n = 22) compared to healthy control subjects (HC) (n = 22) matched on age and education. This study also investigated the relationship between impulsivity measured by delay discounting and functional and effective connectivity of the ECN, DMN, and SN. The Left ECN (LECN), Right ECN (RECN), DMN, and SN functional networks were identified using FSL MELODIC independent component analysis. Functional connectivity differences between CD and HC were assessed using FSL Dual Regression analysis and FSLNets. Effective connectivity differences between CD and HC were measured using the Parametric Empirical Bayes module of Dynamic Causal Modeling. The relationship between delay discounting and functional and effective connectivity were examined using regression analyses. Dynamic causal modeling (DCM) analysis showed strong evidence (posterior probability > 0.95) for CD to have greater effective connectivity than HC in the RECN to LECN pathway when tobacco use was included as a factor in the model. DCM analysis showed strong evidence for a positive association between delay discounting and effective connectivity for the RECN to LECN pathway and for the DMN to DMN self-connection. There was strong evidence for a negative association between delay discounting and effective connectivity for the DMN to RECN pathway and for the SN to DMN pathway. Results also showed strong evidence for a negative association between delay discounting and effective connectivity for the RECN to SN pathway in CD but a positive association in HC. These novel findings provide preliminary support that RECN effective connectivity may differ between CD and HC after controlling for tobacco use. RECN effective connectivity may also relate to tobacco use and impulsivity as measured by delay discounting.
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Affiliation(s)
- Kyle Woisard
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States
| | - Joel L Steinberg
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
| | - Liangsuo Ma
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Department of Radiology, Virginia Commonwealth University, Richmond, VA, United States
| | - Edward Zuniga
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States
| | - Michael Lennon
- Department of Radiology, Virginia Commonwealth University, Richmond, VA, United States
| | - F Gerard Moeller
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, United States.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States.,Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA, United States.,Department of Neurology, Virginia Commonwealth University, Richmond, VA, United States
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3
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Safety and target engagement of an oral small-molecule sequestrant in adolescents with autism spectrum disorder: an open-label phase 1b/2a trial. Nat Med 2022; 28:528-534. [DOI: 10.1038/s41591-022-01683-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 01/05/2022] [Indexed: 02/06/2023]
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Simard I, Denomme WJ, Shane MS. Altered power spectra in antisocial males during rest as a function of cocaine dependence: A network analysis. Psychiatry Res Neuroimaging 2021; 309:111235. [PMID: 33484936 PMCID: PMC7904621 DOI: 10.1016/j.pscychresns.2020.111235] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 12/02/2020] [Accepted: 12/10/2020] [Indexed: 11/20/2022]
Abstract
Abnormalities in the spectral power of offenders' neural oscillations have been noted within select Resting-State Networks (RSNs); however, no study has yet evaluated the influence of cocaine dependence, drug use severity, and psychopathic traits on these abnormalities. To this end, the present study compared rest-related power spectral characteristics between two groups of offenders (with and without a DSM-IV-TR cocaine-dependence diagnosis) and a non-offender control group. Results indicated that both offender groups presented with lower low frequency power ratio (LFPR) scores (i.e. across all RSNs) than non-offenders. These differences in LFPR scores were due to both higher high-frequency power (0.15-0.25 Hz; within seven (in non-dependent offenders) and five (in cocaine-dependent offenders) of eight investigated networks) and decreased low-frequency power (0.01-0.10 Hz; within six (in non-dependent offenders) and one (in cocaine-dependent offenders) of eight investigated networks) compared to non-offenders. Thus, both cocaine-dependent and non-dependent offenders displayed abnormal neural oscillations, suggesting that these oscillatory abnormalities could exist as neurobiological features associated with offender status. Offenders' LFPR levels correlated with lifetime years of cocaine use, but not with the level of psychopathic traits. These findings supplement our knowledge regarding the influence of substance use on resting-state activity in offenders; moreover, they provide further indication of the importance of evaluating shared/unique variance associated with drug use and pyschopathic personality traits.
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Affiliation(s)
- Isabelle Simard
- University of Ontario Institute of Technology, Faculty of Social Science and Humanities, 2000 Simcoe Street North, Oshawa, ON L1H 7K4, Canada.
| | - William J Denomme
- University of Ontario Institute of Technology, Faculty of Social Science and Humanities, 2000 Simcoe Street North, Oshawa, ON L1H 7K4, Canada.
| | - Matthew S Shane
- University of Ontario Institute of Technology, Faculty of Social Science and Humanities, 2000 Simcoe Street North, Oshawa, ON L1H 7K4, Canada.
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Joseph JE, Vaughan BK, Camp CC, Baker NL, Sherman BJ, Moran-Santa Maria M, McRae-Clark A, Brady KT. Oxytocin-Induced Changes in Intrinsic Network Connectivity in Cocaine Use Disorder: Modulation by Gender, Childhood Trauma, and Years of Use. Front Psychiatry 2019; 10:502. [PMID: 31379621 PMCID: PMC6658612 DOI: 10.3389/fpsyt.2019.00502] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Accepted: 06/25/2019] [Indexed: 12/11/2022] Open
Abstract
Cocaine use disorder (CUD) is a major public health concern with devastating social, economic, and mental health implications. A better understanding of the underlying neurobiology and phenotypic variations in individuals with CUD is necessary for the development of effective and targeted treatments. In this study, 39 women and 54 men with CUD completed a 6-min resting-state functional magnetic resonance imaging scan after intranasal oxytocin (OXY) or placebo administration. Graph-theory network analysis was used to quantify functional connectivity changes caused by OXY in striatum, anterior cingulate cortex (ACC), insula, and amygdala nodes of interest. OXY increased connectivity in the right ACC and left amygdala in males, whereas OXY increased connectivity in the right ACC and right accumbens in females. Machine learning was then used to associate treatment response (placebo minus OXY) in nodes of interest with years of cocaine use and severity of childhood trauma separately for males and females. Childhood trauma and years of cocaine use were associated with OXY-induced changes in ACC connectivity for both men and women, but connectivity changes in the amygdala were associated with years of cocaine use in men and connectivity changes in the right insula were associated with years of cocaine use in women. These findings suggest that salience network nodes (ACC and insula) are potential OXY treatment targets in CUD, with the amygdala as a treatment target for men and the accumbens as a treatment target for women.
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Affiliation(s)
- Jane E. Joseph
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States
| | - Brandon K. Vaughan
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States
| | - Christopher C. Camp
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States
| | - Nathaniel L. Baker
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Brian J. Sherman
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Megan Moran-Santa Maria
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
| | - Aimee McRae-Clark
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States
| | - Kathleen T. Brady
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States
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McCarthy JM, Dumais KM, Zegel M, Pizzagalli DA, Olson DP, Moran LV, Janes AC. Sex differences in tobacco smokers: Executive control network and frontostriatal connectivity. Drug Alcohol Depend 2019; 195:59-65. [PMID: 30592997 PMCID: PMC6625360 DOI: 10.1016/j.drugalcdep.2018.11.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Revised: 11/19/2018] [Accepted: 11/19/2018] [Indexed: 01/02/2023]
Abstract
BACKGROUND Women experience greater difficulty quitting smoking than men, which may be explained by sex differences in brain circuitry underlying cognitive control. Prior work has linked reduced interhemispheric executive control network (ECN) coupling with poor executive function, shorter time to relapse, and greater substance use. Lower structural connectivity between a key ECN hub, the dorsolateral prefrontal cortex (DLPFC), and the dorsal striatum (DS) also contributes to less efficient cognitive control recruitment, and reduced intrahemispheric connectivity between these regions has been associated with smoking relapse. Therefore, sex differences were probed by evaluating interhemispheric ECN and intrahemispheric DLPFC-DS connectivity. To assess the potential sex by nicotine interaction, a pilot sample of non-smokers was evaluated following acute nicotine and placebo administration. METHODS Thirty-five smokers (19 women) completed one resting state functional magnetic resonance imaging scan. Seventeen non-smokers (8 women) were scanned twice using a repeated measures design where they received 2 and 0 mg nicotine. RESULTS In smokers, women had less interhemispheric ECN and DLPFC-DS coupling than men. In non-smokers, there was a drug x sex interaction where women, relative to men, had weaker ECN coupling following nicotine but not placebo administration. CONCLUSIONS The current work indicates that nicotine-dependent women, versus men, have weaker connectivity in brain networks critically implicated in cognitive control. How these connectivity differences contribute to the behavioral aspects of smoking requires more testing. However, building on the literature, it is likely these deficits in functional connectivity contribute to the lower abstinence rates noted in women relative to men.
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Affiliation(s)
- Julie M McCarthy
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA.
| | - Kelly M Dumais
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA
| | - Maya Zegel
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA
| | - Diego A Pizzagalli
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA
| | - David P Olson
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA
| | - Lauren V Moran
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA
| | - Amy C Janes
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA
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Wang W, Worhunsky PD, Zhang S, Le TM, Potenza MN, Li CSR. Response inhibition and fronto-striatal-thalamic circuit dysfunction in cocaine addiction. Drug Alcohol Depend 2018; 192:137-145. [PMID: 30248560 PMCID: PMC6200592 DOI: 10.1016/j.drugalcdep.2018.07.037] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 07/20/2018] [Accepted: 07/27/2018] [Indexed: 12/21/2022]
Abstract
BACKGROUND Many studies have investigated how cognitive control may be compromised in cocaine addiction. Here, we extend this literature by employing spatial Independent Component Analysis (ICA) to describe circuit dysfunction in relation to impairment in response inhibition in cocaine addiction. METHODS Fifty-five cocaine-dependent (CD) and 55 age- and sex-matched non-drug-using healthy control individuals (HC) participated in the study. Task-relatedness of 40 independent components (ICs) was assessed using multiple regression analyses of component time courses with the modeled time courses of hemodynamic activity convolved with go success (GS), stop success (SS) and stop error (SE). This procedure produced beta-weights that represented the degree to which each IC was temporally associated with, or 'engaged', by each task event. RESULTS Behaviorally, CD participants showed prolonged stop signal reaction times (SSRTs) as compared to HC participants (p < 0.01). ICA identified two networks that showed differences in engagement related to SS between CD and HC (p < 0.05, FDR-corrected). The activity of the fronto-striatal-thalamic network was negatively correlated with SSRTs in HC but not in CD, suggesting a specific role of this network in mediating deficits of response inhibition in CD individuals. In contrast, the engagement of the fronto-parietal-temporal network did not relate to SSRTs, was similarly less engaged for both SS and SE trials, and may reflect attentional dysfunction in cocaine addiction. CONCLUSIONS This study highlights the utility of ICA in identifying neural circuitry engagement related to SST performance and suggests that specific networks may represent important targets in remedying executive-control impairment in cocaine addiction.
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Affiliation(s)
- Wuyi Wang
- Department of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA; Connecticut Mental Health Center, 34 Park St, New Haven, CT 06519, USA.
| | - Patrick D. Worhunsky
- Department of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA
| | - Sheng Zhang
- Department of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA,Connecticut Mental Health Center, 34 Park St, New Haven, CT 06519, USA
| | - Thang M. Le
- Department of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA,Connecticut Mental Health Center, 34 Park St, New Haven, CT 06519, USA
| | - Marc N. Potenza
- Department of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA,Connecticut Mental Health Center, 34 Park St, New Haven, CT 06519, USA,Department of Neuroscience, Yale University School of Medicine, 200 S Frontage Rd, New Haven, CT 06510, USA,Child Study Center, Yale University School of Medicine, 230 South Frontage Rd., New Haven, CT 06519, USA,Interdepartmental Neuroscience Program, Yale University School of Medicine, SHM L-200, P.O. Box 208074, New Haven CT 06520-8074, USA,Connecticut Council on Problem Gambling, 100 Great Meadow Rd, Wethersfield, CT 06109, USA
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University School of Medicine, 300 George St, #901, New Haven, CT 06511, USA,Connecticut Mental Health Center, 34 Park St, New Haven, CT 06519, USA,Department of Neuroscience, Yale University School of Medicine, 200 S Frontage Rd, New Haven, CT 06510, USA,Interdepartmental Neuroscience Program, Yale University School of Medicine, SHM L-200, P.O. Box 208074, New Haven CT 06520-8074, USA
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8
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Janes AC, Zegel M, Ohashi K, Betts J, Molokotos E, Olson D, Moran L, Pizzagalli DA. Nicotine normalizes cortico-striatal connectivity in non-smoking individuals with major depressive disorder. Neuropsychopharmacology 2018; 43:2445-2451. [PMID: 29795403 PMCID: PMC6180119 DOI: 10.1038/s41386-018-0069-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 03/29/2018] [Accepted: 04/09/2018] [Indexed: 01/26/2023]
Abstract
Nicotine dependence and major depressive disorder (MDD) are highly comorbid, yet causal links between these prevalent disorders are unclear. One possible mechanism is that nicotine ameliorates MDD-related neurobiological dysfunction in specific networks. For instance, cortico-striatal circuitry is enhanced by nicotine, and such paths are disrupted in individuals with MDD. Specifically, MDD has been associated with reduced connectivity between the nucleus accumbens (NAc) and rostral anterior cingulate cortex (rACC) but enhanced connectivity between the dorsal striatum (DS) and dorsolateral prefrontal cortex (DLPFC). Determining whether nicotine normalizes these circuits in non-smokers with MDD may elucidate mechanisms underlying links between disorders. This was tested by administering placebo and a 2-mg dose of nicotine to unmedicated non-smokers with and without MDD prior to collecting resting-state functional magnetic imaging data using a cross-over design. On placebo, individuals with MDD showed significantly reduced NAc-rACC and a trend for enhanced DS-DLPFC functional connectivity relative to healthy controls. In MDD, acute nicotine administration normalized both pathways to the level of healthy controls, while having no impact on healthy controls. Nicotine's effects on NAc-rACC connectivity was influenced by anhedonia, consistent with the role of this network in reward and nicotine's ability to enhance reward deficiencies in MDD. These results indicate that nicotine normalizes dysfunctional cortico-striatal communication in unmedicated non-smokers with MDD. Nicotine's influence on these circuitries highlights a possible mechanism whereby individuals with MDD are more vulnerable to develop nicotine dependence. Findings suggest that nicotinic agents may have therapeutic effects on disrupted cortico-striatal connectivity.
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Affiliation(s)
- Amy C. Janes
- 0000 0000 8795 072Xgrid.240206.2McLean Hospital, Belmont, MA 02478 USA ,000000041936754Xgrid.38142.3cHarvard Medical School, Boston, MA USA
| | - Maya Zegel
- 0000 0000 8795 072Xgrid.240206.2McLean Hospital, Belmont, MA 02478 USA
| | - Kyoko Ohashi
- 0000 0000 8795 072Xgrid.240206.2McLean Hospital, Belmont, MA 02478 USA ,000000041936754Xgrid.38142.3cHarvard Medical School, Boston, MA USA
| | - Jennifer Betts
- 0000 0000 8795 072Xgrid.240206.2McLean Hospital, Belmont, MA 02478 USA
| | - Elena Molokotos
- 0000 0000 8795 072Xgrid.240206.2McLean Hospital, Belmont, MA 02478 USA
| | - David Olson
- 0000 0000 8795 072Xgrid.240206.2McLean Hospital, Belmont, MA 02478 USA ,000000041936754Xgrid.38142.3cHarvard Medical School, Boston, MA USA
| | - Lauren Moran
- 0000 0000 8795 072Xgrid.240206.2McLean Hospital, Belmont, MA 02478 USA ,000000041936754Xgrid.38142.3cHarvard Medical School, Boston, MA USA
| | - Diego A. Pizzagalli
- 0000 0000 8795 072Xgrid.240206.2McLean Hospital, Belmont, MA 02478 USA ,000000041936754Xgrid.38142.3cHarvard Medical School, Boston, MA USA
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