Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-23T13:55:36.646Z Has data issue: false hasContentIssue false

Altered mesocorticolimbic functional connectivity in psychotic disorder: an analysis of proxy genetic and environmental effects

Published online by Cambridge University Press:  25 March 2015

S. C. T. Peeters
Affiliation:
Department of Psychiatry and Psychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, the Netherlands
E. H. B. M. Gronenschild
Affiliation:
Department of Psychiatry and Psychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, the Netherlands
V. van de Ven
Affiliation:
Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
P. Habets
Affiliation:
Department of Psychiatry and Psychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, the Netherlands
R. Goebel
Affiliation:
Department of Cognitive Neuroscience, Maastricht University, Maastricht, the Netherlands
J. van Os
Affiliation:
Department of Psychiatry and Psychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, the Netherlands Division of Psychological Medicine, Institute of Psychiatry, De Crespigny Park, Denmark Hill, London, UK
M. Marcelis*
Affiliation:
Department of Psychiatry and Psychology, South Limburg Mental Health Research and Teaching Network, EURON, Maastricht University, Maastricht, the Netherlands Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, the Netherlands
*
*Address for correspondence: M. Marcelis, M.D., Ph.D., Department of Psychiatry and Psychology, Maastricht University Medical Centre, PO Box 616 (Vijv1), 6200 MD Maastricht, the Netherlands. (Email: [email protected])

Abstract

Background

Altered dopaminergic neurotransmission in the mesocorticolimbic (MCL) system may mediate psychotic symptoms. In addition, pharmacological dopaminergic manipulation may coincide with altered functional connectivity (fc) ‘in rest’. We set out to test whether MCL-fc is conditional on (familial risk for) psychotic disorder and/or interactions with environmental exposures.

Method

Resting-state functional magnetic resonance imaging data were obtained from 63 patients with psychotic disorder, 73 non-psychotic siblings of patients with psychotic disorder and 59 healthy controls. With the nucleus accumbens (NAcc) as seed region, fc within the MCL system was estimated. Regression analyses adjusting for a priori hypothesized confounders were used to assess group differences in MCL connectivity as well as gene (group) × environmental exposure interactions (G × E) (i.e. to cannabis, developmental trauma and urbanicity).

Results

Compared with controls, patients and siblings had decreased fc between the right NAcc seed and the right orbitofrontal cortex (OFC) as well as the left middle cingulate cortex (MCC). Siblings showed decreased connectivity between the NAcc seed and lentiform nucleus compared with patients and controls. In addition, patients had decreased left NAcc connectivity compared with siblings in the left middle frontal gyrus. There was no evidence for a significant interaction between group and the three environmental exposures in the model of MCL-fc.

Conclusions

Reduced NAcc–OFC/MCC connectivity was seen in patients and siblings, suggesting that altered OFC connectivity and MCC connectivity are vulnerability markers for psychotic disorder. Differential exposure to environmental risk factors did not make an impact on the association between familial risk and MCL connectivity.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abi-Dargham, A, Rodenhiser, J, Printz, D, Zea-Ponce, Y, Gil, R, Kegeles, LS, Weiss, R, Cooper, TB, Mann, JJ, Van Heertum, RL, Gorman, JM, Laruelle, M (2000). Increased baseline occupancy of D2 receptors by dopamine in schizophrenia. Proceedings of the National Academy of Sciences of the United States of America 97, 81048109.Google Scholar
American Psychiatric Association (2000). Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association: Washington, DC.Google Scholar
Andreasen, NC, Flaum, M, Arndt, S (1992). The Comprehensive Assessment of Symptoms and History (CASH). An instrument for assessing diagnosis and psychopathology. Archives of General Psychiatry 49, 615623.Google Scholar
Andreasen, NC, Pressler, M, Nopoulos, P, Miller, D, Ho, BC (2010). Antipsychotic dose equivalents and dose-years: a standardized method for comparing exposure to different drugs. Biological Psychiatry 67, 255262.Google Scholar
Annett, M (1970). A classification of hand preference by association analysis. British Journal of Psychology 61, 303321.Google Scholar
Barbey, AK, Koenigs, M, Grafman, J (2013). Dorsolateral prefrontal contributions to human working memory. Cortex 49, 11951205.Google Scholar
Bernstein, DP, Ahluvalia, T, Pogge, D, Handelsman, L (1997). Validity of the Childhood Trauma Questionnaire in an adolescent psychiatric population. Journal of the American Academy of Child and Adolescent Psychiatry 36, 340348.Google Scholar
Bloomfield, MA, Morgan, CJ, Egerton, A, Kapur, S, Curran, HV, Howes, OD (2014). Dopaminergic function in cannabis users and its relationship to cannabis-induced psychotic symptoms. Biological Psychiatry 75, 470478.Google Scholar
Bluhm, R, Williamson, PC, Osuch, EA, Frewen, PA, Stevens, TK, Boksman, K, Neufeld, RW, Theberge, J, Lanius, RA (2009). Alterations in default network connectivity in posttraumatic stress disorder related to early-life trauma. Journal of Psychiatry and Neuroscience 34, 187194.Google Scholar
Bossong, MG, van Berckel, BN, Boellaard, R, Zuurman, L, Schuit, RC, Windhorst, AD, van Gerven, JM, Ramsey, NF, Lammertsma, AA, Kahn, RS (2009). Δ9-Tetrahydrocannabinol induces dopamine release in the human striatum. Neuropsychopharmacology 34, 759766.CrossRefGoogle ScholarPubMed
Central Bureau of Statistics (1993). Bevolking der Gemeenten van Nederland. CBS Publications: The Hague, the Netherlands.Google Scholar
Clayton, D, Hills, M (1993). Statistical Models in Epidemiology. Oxford: Oxford University Press.Google Scholar
Cohen, RA, Kaplan, RF, Moser, DJ, Jenkins, MA, Wilkinson, H (1999). Impairments of attention after cingulotomy. Neurology 53, 819824.Google Scholar
Cole, DM, Beckmann, CF, Oei, NY, Both, S, van Gerven, JM, Rombouts, SA (2013). Differential and distributed effects of dopamine neuromodulations on resting-state network connectivity. NeuroImage 78, 5967.Google Scholar
Cox, RW (1996). AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Computers and Biomedical Research 29, 162173.Google Scholar
Deutch, AY (1992). The regulation of subcortical dopamine systems by the prefrontal cortex: interactions of central dopamine systems and the pathogenesis of schizophrenia. Journal of Neural Transmission Supplement 36, 6189.Google ScholarPubMed
Di Martino, A, Scheres, A, Margulies, DS, Kelly, AM, Uddin, LQ, Shehzad, Z, Biswal, B, Walters, JR, Castellanos, FX, Milham, MP (2008). Functional connectivity of human striatum: a resting state fMRI study. Cerebral Cortex 18, 27352747.Google Scholar
Ding, X, Lee, SW (2013). Changes of functional and effective connectivity in smoking replenishment on deprived heavy smokers: a resting-state fMRI study. PLOS ONE 8, e59331.Google ScholarPubMed
Finlay, JM, Zigmond, MJ (1997). The effects of stress on central dopaminergic neurons: possible clinical implications. Neurochemical Research 22, 13871394.Google Scholar
Fischer, AS, Whitfield-Gabrieli, S, Roth, RM, Brunette, MF, Green, AI (2014). Impaired functional connectivity of brain reward circuitry in patients with schizophrenia and cannabis use disorder: effects of cannabis and THC. Schizophrenia Research 158, 176182.Google Scholar
Fisher, HL, Craig, TK, Fearon, P, Morgan, K, Dazzan, P, Lappin, J, Hutchinson, G, Doody, GA, Jones, PB, McGuffin, P, Murray, RM, Leff, J, Morgan, C (2009). Reliability and comparability of psychosis patients’ retrospective reports of childhood abuse. Schizophrenia Bulletin 37, 546553.Google Scholar
Forman, SD, Cohen, JD, Fitzgerald, M, Eddy, WF, Mintun, MA, Noll, DC (1995). Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold. Magnetic Resonance in Medicine 33, 636647.Google Scholar
Fornito, A, Harrison, BJ, Goodby, E, Dean, A, Ooi, C, Nathan, PJ, Lennox, BR, Jones, PB, Suckling, J, Bullmore, ET (2013). Functional dysconnectivity of corticostriatal circuitry as a risk phenotype for psychosis. JAMA Psychiatry 70, 11431151.Google Scholar
Fornito, A, Yucel, M, Wood, SJ, Bechdolf, A, Carter, S, Adamson, C, Velakoulis, D, Saling, MM, McGorry, PD, Pantelis, C (2009). Anterior cingulate cortex abnormalities associated with a first psychotic episode in bipolar disorder. British Journal of Psychiatry 194, 426433.Google Scholar
Fox, MD, Snyder, AZ, Vincent, JL, Corbetta, M, Van Essen, DC, Raichle, ME (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America 102, 96739678.CrossRefGoogle ScholarPubMed
Genovese, CR, Lazar, NA, Nichols, T (2002). Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage 15, 870878.Google Scholar
Geoffroy, PA, Etain, B, Houenou, J (2013). Gene x environment interactions in schizophrenia and bipolar disorder: evidence from neuroimaging. Frontiers in Psychiatry 4, 136.Google Scholar
Goebel, R, Esposito, F, Formisano, E (2006). Analysis of Functional Image Analysis Contest (FIAC) data with Brainvoyager QX: from single-subject to cortically aligned group general linear model analysis and self-organizing group independent component analysis. Human Brain Mapping 27, 392401.Google Scholar
Gu, H, Salmeron, BJ, Ross, TJ, Geng, X, Zhan, W, Stein, EA, Yang, Y (2010). Mesocorticolimbic circuits are impaired in chronic cocaine users as demonstrated by resting-state functional connectivity. NeuroImage 53, 593601.Google Scholar
Guillin, O, Abi-Dargham, A, Laruelle, M (2007). Neurobiology of dopamine in schizophrenia. International Review of Neurobiology 78, 139.Google Scholar
Habets, P, Marcelis, M, Gronenschild, E, Drukker, M, van Os, J, Genetic Risk and Outcome of Psychosis (2011). Reduced cortical thickness as an outcome of differential sensitivity to environmental risks in schizophrenia. Biological Psychiatry 69, 487494.Google Scholar
Henquet, C, Di Forti, M, Morrison, P, Kuepper, R, Murray, RM (2008). Gene–environment interplay between cannabis and psychosis. Schizophrenia Bulletin 34, 11111121.Google Scholar
Hibar, DP, Stein, JL, Ryles, AB, Kohannim, O, Jahanshad, N, Medland, SE, Hansell, NK, McMahon, KL, de Zubicaray, GI, Montgomery, GW, Martin, NG, Wright, MJ, Saykin, AJ, Jack, CR Jr, Weiner, MW, Toga, AW, Thompson, PM, Alzheimer's Disease Neuroimaging Initiative (2013). Genome-wide association identifies genetic variants associated with lentiform nucleus volume in n = 1345 young and elderly subjects. Brain Imaging and Behavior 7, 102115.Google Scholar
Howes, OD, Kapur, S (2009). The dopamine hypothesis of schizophrenia: version III – the final common pathway. Schizophrenia Bulletin 35, 549562.Google Scholar
Howes, OD, Murray, RM (2014). Schizophrenia: an integrated sociodevelopmental–cognitive model. Lancet 383, 16771687.Google Scholar
Hyde, LW, Bogdan, R, Hariri, AR (2011). Understanding risk for psychopathology through imaging gene–environment interactions. Trends in Cognitive Sciences 15, 417427.Google Scholar
Jenkinson, M, Bannister, P, Brady, M, Smith, S (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage 17, 825841.Google Scholar
Jenkinson, M, Smith, S (2001). A global optimisation method for robust affine registration of brain images. Medical Image Analysis 5, 143156.Google Scholar
Kay, SR, Fiszbein, A, Opler, LA (1987). The Positive and Negative Syndrome Scale (PANSS) for schizophrenia. Schizophrenia Bulletin 13, 261276.CrossRefGoogle ScholarPubMed
Kelly, C, de Zubicaray, G, Di Martino, A, Copland, DA, Reiss, PT, Klein, DF, Castellanos, FX, Milham, MP, McMahon, K (2009). l-DOPA modulates functional connectivity in striatal cognitive and motor networks: a double-blind placebo-controlled study. Journal of Neuroscience 29, 73647378.Google Scholar
Kuepper, R, Ceccarini, J, Lataster, J, van Os, J, van Kroonenburgh, M, van Gerven, JM, Marcelis, M, Van Laere, K, Henquet, C (2013). Δ−9-Tetrahydrocannabinol-induced dopamine release as a function of psychosis risk: 18F-fallypride positron emission tomography study. PLOS ONE 8, e70378.Google Scholar
Larquet, M, Coricelli, G, Opolczynski, G, Thibaut, F (2010). Impaired decision making in schizophrenia and orbitofrontal cortex lesion patients. Schizophrenia Research 116, 266273.CrossRefGoogle ScholarPubMed
Lataster, J, Collip, D, Ceccarini, J, Haas, D, Booij, L, van Os, J, Pruessner, J, Van Laere, K, Myin-Germeys, I (2011). Psychosocial stress is associated with in vivo dopamine release in human ventromedial prefrontal cortex: a positron emission tomography study using [18F]fallypride. NeuroImage 58, 10811089.Google Scholar
Lederbogen, F, Kirsch, P, Haddad, L, Streit, F, Tost, H, Schuch, P, Wust, S, Pruessner, JC, Rietschel, M, Deuschle, M, Meyer-Lindenberg, A (2011). City living and urban upbringing affect neural social stress processing in humans. Nature 474, 498501.Google Scholar
Ma, N, Liu, Y, Fu, XM, Li, N, Wang, CX, Zhang, H, Qian, RB, Xu, HS, Hu, X, Zhang, DR (2011). Abnormal brain default-mode network functional connectivity in drug addicts. PLoS ONE 6, e16560.Google Scholar
Meyer-Lindenberg, A, Miletich, RS, Kohn, PD, Esposito, G, Carson, RE, Quarantelli, M, Weinberger, DR, Berman, KF (2002). Reduced prefrontal activity predicts exaggerated striatal dopaminergic function in schizophrenia. Nature Neuroscience 5, 267271.Google Scholar
Mizrahi, R, Addington, J, Rusjan, PM, Suridjan, I, Ng, A, Boileau, I, Pruessner, JC, Remington, G, Houle, S, Wilson, AA (2012). Increased stress-induced dopamine release in psychosis. Biological Psychiatry 71, 561567.CrossRefGoogle ScholarPubMed
Quickfall, J, Crockford, D (2006). Brain neuroimaging in cannabis use: a review. Journal of Neuropsychiatry and Clinical Neurosciences 18, 318332.Google Scholar
Read, J, Perry, BD, Moskowitz, A, Connolly, J (2001). The contribution of early traumatic events to schizophrenia in some patients: a traumagenic neurodevelopmental model. Psychiatry 64, 319345.Google Scholar
Roberts, GM, Garavan, H (2010). Evidence of increased activation underlying cognitive control in ecstasy and cannabis users. NeuroImage 52, 429435.Google Scholar
Schlosser, R, Gesierich, T, Kaufmann, B, Vucurevic, G, Hunsche, S, Gawehn, J, Stoeter, P (2003). Altered effective connectivity during working memory performance in schizophrenia: a study with fMRI and structural equation modeling. NeuroImage 19, 751763.Google Scholar
Simes, R (1986). An improved Bonferroni procedure for multiple tests of significance. Biometrika 73, 751754.Google Scholar
Smith, SM, Vidaurre, D, Beckmann, CF, Glasser, MF, Jenkinson, M, Miller, KL, Nichols, TE, Robinson, EC, Salimi-Khorshidi, G, Woolrich, MW, Barch, DM, Ugurbil, K, Van Essen, DC (2013). Functional connectomics from resting-state fMRI. Trends in Cognitive Sciences 17, 666682.Google Scholar
StataCorp. (2011). Stata Statistical Software: Release 12. StataCorp LP: College Station, TX.Google Scholar
Stephan, KE, Magnotta, VA, White, T, Arndt, S, Flaum, M, O'Leary, DS, Andreasen, NC (2001). Effects of olanzapine on cerebellar functional connectivity in schizophrenia measured by fMRI during a simple motor task. Psychological Medicine 31, 10651078.Google Scholar
Thompson, JL, Urban, N, Slifstein, M, Xu, X, Kegeles, LS, Girgis, RR, Beckerman, Y, Harkavy-Friedman, JM, Gil, R, Abi-Dargham, A (2013). Striatal dopamine release in schizophrenia comorbid with substance dependence. Molecular Psychiatry 18, 909915.Google Scholar
Tomasi, D, Volkow, ND, Wang, R, Carrillo, JH, Maloney, T, Alia-Klein, N, Woicik, PA, Telang, F, Goldstein, RZ (2010). Disrupted functional connectivity with dopaminergic midbrain in cocaine abusers. PLoS ONE 5, e10815.Google Scholar
van der Gaag, M, Hoffman, T, Remijsen, M, Hijman, R, de Haan, L, van Meijel, B, van Harten, PN, Valmaggia, L, de Hert, M, Cuijpers, A, Wiersma, D (2006). The five-factor model of the Positive and Negative Syndrome Scale II: a ten-fold cross-validation of a revised model. Schizophrenia Research 85, 280287.CrossRefGoogle Scholar
Vanhaute, E, Vrielinck, S (2013). Historische Databank van Lokale Statistieken- LOKSTAT (Historical Databank of Local Statistics- LOKSTAT). Universiteit Gent: Gent.Google Scholar
van Os, J (2004). Does the urban environment cause psychosis? British Journal of Psychiatry 184, 287288.CrossRefGoogle ScholarPubMed
van Os, J, Kenis, G, Rutten, BP (2010). The environment and schizophrenia. Nature 468, 203212.Google Scholar
van Os, J, Rutten, BP, Poulton, R (2008). Gene–environment interactions in schizophrenia: review of epidemiological findings and future directions. Schizophrenia Bulletin 34, 10661082.Google Scholar
van Winkel, R, Stefanis, NC, Myin-Germeys, I (2008). Psychosocial stress and psychosis. A review of the neurobiological mechanisms and the evidence for gene–stress interaction. Schizophrenia Bulletin 34, 10951105.Google Scholar
Varese, F, Smeets, F, Drukker, M, Lieverse, R, Lataster, T, Viechtbauer, W, Read, J, van Os, J, Bentall, RP (2012). Childhood adversities increase the risk of psychosis: a meta-analysis of patient–control, prospective- and cross-sectional cohort studies. Schizophrenia Bulletin 38, 661671.Google Scholar
Volkow, ND, Ma, Y, Zhu, W, Fowler, JS, Li, J, Rao, M, Mueller, K, Pradhan, K, Wong, C, Wang, GJ (2008). Moderate doses of alcohol disrupt the functional organization of the human brain. Psychiatry Research 162, 205213.Google Scholar
Vollema, MG, Ormel, J (2000). The reliability of the Structured Interview for Schizotypy-revised. Schizophrenia Bulletin 26, 619629.Google Scholar
Walker, EF, Diforio, D (1997). Schizophrenia: a neural diathesis–stress model. Psychological Review 104, 667685.Google Scholar
Wallis, JD (2007). Orbitofrontal cortex and its contribution to decision-making. Annual Review of Neuroscience 30, 3156.Google Scholar
Whitfield-Gabrieli, S, Ford, JM (2012). Default mode network activity and connectivity in psychopathology. Annual Review of Clinical Psychology 8, 4976.Google Scholar
World Health Organization (1990). Composite International Diagnostic Interview (CIDI). World Health Organization: Geneva.Google Scholar
Supplementary material: File

Peeters supplementary material

Fig. S1

Download Peeters supplementary material(File)
File 1.1 MB