Skip to main content
SpringerLink
Log in

Functional Resting-State Network Disturbances in Bipolar Disorder

  • Chapter
  • First Online:
Brain Network Dysfunction in Neuropsychiatric Illness

Abstract

This section overviews a large panel of studies investigating brain function at rest in bipolar disorder patients using various approaches. Literature findings highlight abnormal functional connectivity patterns within and between several brain networks including default mode, control, and saliency networks. Local and large-scale connectivity changes in these networks as well as modulation of cortico-striato-thalamic, reward-related, and sensorimotor circuits might depend on patients’ symptomatology. Further studies should clarify specific associations between clinical dimensions and functional network properties.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    By psychotic patients, we refer to BD patients with a history of psychotic symptoms. Strictly, current psychotic symptoms can be observed only during depression or mania.

  2. 2.

    As the clustering coefficient of a node is the fraction of its neighbors that are also connected to each other, higher clustering coefficient for the amygdala in BD actually does not contradict previous reports of decreased (high-) centrality for this structure. Hub nodes may even be expected to have low clustering coefficient (see Chap. 5. Centrality and hubs; Fornito et al. 2016). Here, these combined results may indicate that the amygdala loses his function of “hub” and connects with regions that are connected together in a larger extent than it does in controls.

References

  • Altinay, M.I., Hulvershorn, L.A., Karne, H., Beall, E.B., and Anand, A. (2016). Differential Resting-State Functional Connectivity of Striatal Subregions in Bipolar Depression and Hypomania. Brain Connect. 6, 255–265.

    Google Scholar 

  • Anand, A., Li, Y., Wang, Y., Lowe, M.J., and Dzemidzic, M. (2009). Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depression. Psychiatry Res. 171, 189–198.

    Article  PubMed  PubMed Central  Google Scholar 

  • Anticevic, A., Brumbaugh, M.S., Winkler, A.M., Lombardo, L.E., Barrett, J., Corlett, P.R., Kober, H., Gruber, J., Repovs, G., Cole, M.W., et al. (2013). Global prefrontal and fronto-amygdala dysconnectivity in bipolar I disorder with psychosis history. Biol. Psychiatry 73, 565–573.

    Article  PubMed  Google Scholar 

  • Anticevic, A., Savic, A., Repovs, G., Yang, G., McKay, D.R., Sprooten, E., Knowles, E.E., Krystal, J.H., Pearlson, G.D., and Glahn, D.C. (2015). Ventral anterior cingulate connectivity distinguished nonpsychotic bipolar illness from psychotic bipolar disorder and schizophrenia. Schizophr. Bull. 41, 133–143.

    Article  PubMed  Google Scholar 

  • Argyelan, M., Ikuta, T., DeRosse, P., Braga, R.J., Burdick, K.E., John, M., Kingsley, P.B., Malhotra, A.K., and Szeszko, P.R. (2014). Resting-state fMRI connectivity impairment in schizophrenia and bipolar disorder. Schizophr. Bull. 40, 100–110.

    Article  PubMed  Google Scholar 

  • Ashok, A.H., Marques, T.R., Jauhar, S., Nour, M.M., Goodwin, G.M., Young, A.H., and Howes, O.D. (2017). The dopamine hypothesis of bipolar affective disorder: the state of the art and implications for treatment. Mol. Psychiatry. 22, 666–679.

    Google Scholar 

  • Baker, J.T., Holmes, A.J., Masters, G.A., Yeo, B.T.T., Krienen, F., Buckner, R.L., and Ă–ngĂĽr, D. (2014). Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder. JAMA Psychiatry 71, 109–118.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brady, R.O., Masters, G.A., Mathew, I.T., Margolis, A., Cohen, B.M., Ă–ngĂĽr, D., and Keshavan, M. (2016). State dependent cortico-amygdala circuit dysfunction in bipolar disorder. J. Affect. Disord. 201, 79–87.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brady, R.O., Margolis, A., Masters, G.A., Keshavan, M., and Ă–ngĂĽr, D. (2017a). Bipolar mood state reflected in cortico-amygdala resting state connectivity: A cohort and longitudinal study. J. Affect. Disord. 217, 205–209.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brady, R.O., Tandon, N., Masters, G.A., Margolis, A., Cohen, B.M., Keshavan, M., and Ă–ngĂĽr, D. (2017b). Differential brain network activity across mood states in bipolar disorder. J. Affect. Disord. 207, 367–376.

    Article  PubMed  Google Scholar 

  • Brooks, J.O., Hoblyn, J.C., Woodard, S.A., Rosen, A.C., and Ketter, T.A. (2009a). Corticolimbic metabolic dysregulation in euthymic older adults with bipolar disorder. J. Psychiatr. Res. 43, 497–502.

    Article  PubMed  Google Scholar 

  • Brooks, J.O., Wang, P.W., Bonner, J.C., Rosen, A.C., Hoblyn, J.C., Hill, S.J., and Ketter, T.A. (2009c). Decreased prefrontal, anterior cingulate, insula, and ventral striatal metabolism in medication-free depressed outpatients with bipolar disorder. J. Psychiatr. Res. 43, 181–188.

    Article  PubMed  Google Scholar 

  • Brooks, J.O., Rosen, A.C., Hoblyn, J.C., Woodard, S.A., Krasnykh, O., and Ketter, T.A. (2009b). Resting prefrontal hypometabolism and paralimbic hypermetabolism related to verbal recall deficits in euthymic older adults with bipolar disorder. Am. J. Geriatr. Psychiatry Off. J. Am. Assoc. Geriatr. Psychiatry 17, 1022–1029.

    Article  Google Scholar 

  • Brooks, J.O., Hoblyn, J.C., and Ketter, T.A. (2010). Metabolic evidence of corticolimbic dysregulation in bipolar mania. Psychiatry Res. 181, 136–140.

    Article  CAS  PubMed  Google Scholar 

  • Cerullo, M.A., Fleck, D.E., Eliassen, J.C., Smith, M.S., DelBello, M.P., Adler, C.M., and Strakowski, S.M. (2012). A longitudinal functional connectivity analysis of the amygdala in bipolar I disorder across mood states. Bipolar Disord. 14, 175–184.

    Article  PubMed  PubMed Central  Google Scholar 

  • Chai, X.J., Whitfield-Gabrieli, S., Shinn, A.K., Gabrieli, J.D.E., Nieto Castañón, A., McCarthy, J.M., Cohen, B.M., and OngĂĽr, D. (2011). Abnormal medial prefrontal cortex resting-state connectivity in bipolar disorder and schizophrenia. Neuropsychopharmacol. Off. Publ. Am. Coll. Neuropsychopharmacol. 36, 2009–2017.

    Article  Google Scholar 

  • Chase, H.W., and Phillips, M.L. (2016). Elucidating neural network functional connectivity abnormalities in bipolar disorder: toward a harmonized methodological approach. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 1, 288–298.

    PubMed  PubMed Central  Google Scholar 

  • Chepenik, L.G., Raffo, M., Hampson, M., Lacadie, C., Wang, F., Jones, M.M., Pittman, B., Skudlarski, P., and Blumberg, H.P. (2010). Functional connectivity between ventral prefrontal cortex and amygdala at low frequency in the resting state in bipolar disorder. Psychiatry Res. 182, 207–210.

    Article  PubMed  PubMed Central  Google Scholar 

  • Das, P., Calhoun, V., and Malhi, G.S. (2014). Bipolar and borderline patients display differential patterns of functional connectivity among resting state networks. NeuroImage 98, 73–81.

    Google Scholar 

  • Delgado, M.R., Nearing, K.I., Ledoux, J.E., and Phelps, E.A. (2008). Neural circuitry underlying the regulation of conditioned fear and its relation to extinction. Neuron 59, 829–838.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Doucet, G.E., Bassett, D.S., Yao, N., Glahn, D.C., and Frangou, S. (2017). The Role of Intrinsic Brain Functional Connectivity in Vulnerability and Resilience to Bipolar Disorder. Am. J. Psychiatry 174, 1214–1222.

    Google Scholar 

  • Du, Y., Pearlson, G.D., Liu, J., Sui, J., Yu, Q., He, H., Castro, E., and Calhoun, V.D. (2015). A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. NeuroImage 122, 272–280.

    Article  PubMed  Google Scholar 

  • Eryilmaz, H., Van De Ville, D., Schwartz, S., and Vuilleumier, P. (2011). Impact of transient emotions on functional connectivity during subsequent resting state: a wavelet correlation approach. NeuroImage 54, 2481–2491.

    Article  PubMed  Google Scholar 

  • Eryilmaz, H., Van De Ville, D., Schwartz, S., and Vuilleumier, P. (2014). Lasting impact of regret and gratification on resting brain activity and its relation to depressive traits. J. Neurosci. 34, 7825–7835.

    Google Scholar 

  • Favre, P., Baciu, M., Pichat, C., Bougerol, T., and Polosan, M. (2014). fMRI evidence for abnormal resting-state functional connectivity in euthymic bipolar patients. J. Affect. Disord. 165, 182–189.

    Article  PubMed  Google Scholar 

  • Foland, L.C., Altshuler, L.L., Bookheimer, S.Y., Eisenberger, N., Townsend, J., and Thompson, P.M. (2008). Evidence for deficient modulation of amygdala response by prefrontal cortex in bipolar mania. Psychiatry Res. 162, 27–37.

    Article  PubMed  Google Scholar 

  • Fornito, A., Zalesky, A., and Bullmore, E. (2016). Fundamentals of Brain Network Analysis (Academic Press).

    Google Scholar 

  • Goya-Maldonado, R., Brodmann, K., Keil, M., Trost, S., Dechent, P., and Gruber, O. (2016). Differentiating unipolar and bipolar depression by alterations in large-scale brain networks. Hum. Brain Mapp. 37, 808–818.

    Article  PubMed  Google Scholar 

  • Hanwella, R., and de Silva, V.A. (2011). Signs and symptoms of acute mania: a factor analysis. BMC Psychiatry 11, 137.

    Article  PubMed  PubMed Central  Google Scholar 

  • He, H., Yu, Q., Du, Y., Vergara, V., Victor, T.A., Drevets, W.C., Savitz, J.B., Jiang, T., Sui, J., and Calhoun, V.D. (2016). Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders. J. Affect. Disord. 190, 483–493.

    Article  PubMed  Google Scholar 

  • Jiang, X., Dai, X., Kale Edmiston, E., Zhou, Q., Xu, K., Zhou, Y., Wu, F., Kong, L., Wei, S., Zhou, Y., et al. (2017). Alteration of cortico-limbic-striatal neural system in major depressive disorder and bipolar disorder. J. Affect. Disord. 221, 297–303.

    Article  PubMed  Google Scholar 

  • Johansen-Berg, H., Gutman, D.A., Behrens, T.E.J., Matthews, P.M., Rushworth, M.F.S., Katz, E., Lozano, A.M., and Mayberg, H.S. (2008). Anatomical connectivity of the subgenual cingulate region targeted with deep brain stimulation for treatment-resistant depression. Cereb. Cortex 18, 1374–1383.

    Google Scholar 

  • Kennedy, S.H., Konarski, J.Z., Segal, Z.V., Lau, M.A., Bieling, P.J., McIntyre, R.S., and Mayberg, H.S. (2007). Differences in brain glucose metabolism between responders to CBT and venlafaxine in a 16-week randomized controlled trial. Am. J. Psychiatry 164, 778–788.

    Article  PubMed  Google Scholar 

  • Ketter, T.A., Kimbrell, T.A., George, M.S., Dunn, R.T., Speer, A.M., Benson, B.E., Willis, M.W., Danielson, A., Frye, M.A., Herscovitch, P., et al. (2001). Effects of mood and subtype on cerebral glucose metabolism in treatment-resistant bipolar disorder. Biol. Psychiatry 49, 97–109.

    Article  CAS  PubMed  Google Scholar 

  • Khadka, S., Meda, S.A., Stevens, M.C., Glahn, D.C., Calhoun, V.D., Sweeney, J.A., Tamminga, C.A., Keshavan, M.S., O’Neil, K., Schretlen, D., et al. (2013). Is aberrant functional connectivity a psychosis endophenotype? A resting state functional magnetic resonance imaging study. Biol. Psychiatry 74, 458–466.

    Article  PubMed  PubMed Central  Google Scholar 

  • KrĂĽger, S., Seminowicz, D., Goldapple, K., Kennedy, S.H., and Mayberg, H.S. (2003). State and trait influences on mood regulation in bipolar disorder: blood flow differences with an acute mood challenge. Biol. Psychiatry 54, 1274–1283.

    Article  PubMed  Google Scholar 

  • Li, C.-T., Tu, P.-C., Hsieh, J.-C., Lee, H.-C., Bai, Y.-M., Tsai, C.-F., Wang, S.-J., Hsu, J.-W., Huang, K.-L., Hong, C.-J., et al. (2015a). Functional dysconnection in the prefrontal-amygdala circuitry in unaffected siblings of patients with bipolar I disorder. Bipolar Disord. 17, 626–635.

    Article  CAS  PubMed  Google Scholar 

  • Li, J., Tang, Y., Womer, F., Fan, G., Zhou, Q., Sun, W., Xu, K., and Wang, F. (2017). Two patterns of anterior insular cortex functional connectivity in bipolar disorder and schizophrenia. World J. Biol. Psychiatry Off. J. World Fed. Soc. Biol. Psychiatry 19, S115–S123.

    Google Scholar 

  • Li, M., Huang, C., Deng, W., Ma, X., Han, Y., Wang, Q., Li, Z., Guo, W., Li, Y., Jiang, L., et al. (2015b). Contrasting and convergent patterns of amygdala connectivity in mania and depression: a resting-state study. J. Affect. Disord. 173, 53–58.

    Article  PubMed  Google Scholar 

  • Liang, M.-J., Zhou, Q., Yang, K.-R., Yang, X.-L., Fang, J., Chen, W.-L., and Huang, Z. (2013). Identify changes of brain regional homogeneity in bipolar disorder and unipolar depression using resting-state FMRI. PloS One 8, e79999.

    Article  PubMed  PubMed Central  Google Scholar 

  • Liu, C.-H., Li, F., Li, S.-F., Wang, Y.-J., Tie, C.-L., Wu, H.-Y., Zhou, Z., Zhang, D., Dong, J., Yang, Z., et al. (2012a). Abnormal baseline brain activity in bipolar depression: A resting state functional magnetic resonance imaging study. Psychiatry Res. Neuroimaging 203, 175–179.

    Article  Google Scholar 

  • Liu, C.-H., Ma, X., Li, F., Wang, Y.-J., Tie, C.-L., Li, S.-F., Chen, T.-L., Fan, T., Zhang, Y., Dong, J., et al. (2012b). Regional Homogeneity within the Default Mode Network in Bipolar Depression: A Resting-State Functional Magnetic Resonance Imaging Study. PLOS ONE 7, e48181.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Liu, H., Tang, Y., Womer, F., Fan, G., Lu, T., Driesen, N., Ren, L., Wang, Y., He, Y., Blumberg, H.P., et al. (2014). Differentiating patterns of amygdala-frontal functional connectivity in schizophrenia and bipolar disorder. Schizophr. Bull. 40, 469–477.

    Article  PubMed  Google Scholar 

  • Lois, G., Linke, J., and Wessa, M. (2014). Altered Functional Connectivity between Emotional and Cognitive Resting State Networks in Euthymic Bipolar I Disorder Patients. PloS One 9, e107829.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Lu, L.H., Zhou, X.J., Fitzgerald, J., Keedy, S.K., Reilly, J.L., Passarotti, A.M., Sweeney, J.A., and Pavuluri, M. (2012). Microstructural abnormalities of white matter differentiate pediatric and adult-onset bipolar disorder. Bipolar Disord. 14, 597–606.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lui, S., Yao, L., Xiao, Y., Keedy, S.K., Reilly, J.L., Keefe, R.S., Tamminga, C.A., Keshavan, M.S., Pearlson, G.D., Gong, Q., et al. (2015). Resting-state brain function in schizophrenia and psychotic bipolar probands and their first-degree relatives. Psychol. Med. 45, 97–108.

    Article  CAS  PubMed  Google Scholar 

  • Magioncalda, P., Martino, M., Conio, B., Escelsior, A., Piaggio, N., Presta, A., Marozzi, V., Rocchi, G., Anastasio, L., Vassallo, L., et al. (2015). Functional connectivity and neuronal variability of resting state activity in bipolar disorder-reduction and decoupling in anterior cortical midline structures. Hum. Brain Mapp. 36, 666-682. 

    Google Scholar 

  • Mah, L., Zarate, C.A., Singh, J., Duan, Y.-F., Luckenbaugh, D.A., Manji, H.K., and Drevets, W.C. (2007). Regional cerebral glucose metabolic abnormalities in bipolar II depression. Biol. Psychiatry 61, 765–775.

    Article  CAS  PubMed  Google Scholar 

  • Martino, M., Magioncalda, P., Saiote, C., Conio, B., Escelsior, A., Rocchi, G., Piaggio, N., Marozzi, V., Huang, Z., Ferri, F., et al. (2016a). Abnormal functional-structural cingulum connectivity in mania: combined functional magnetic resonance imaging-diffusion tensor imaging investigation in different phases of bipolar disorder. Acta Psychiatr. Scand. 134, 339–349.

    Article  CAS  PubMed  Google Scholar 

  • Martino, M., Magioncalda, P., Huang, Z., Conio, B., Piaggio, N., Duncan, N.W., Rocchi, G., Escelsior, A., Marozzi, V., Wolff, A., et al. (2016b). Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania. Proc. Natl. Acad. Sci. 113, 4824–4829.

    Google Scholar 

  • Mayberg, H.S. (2009). Targeted electrode-based modulation of neural circuits for depression. J. Clin. Invest. 119, 717–725.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Meda, S.A., Gill, A., Stevens, M.C., Lorenzoni, R.P., Glahn, D.C., Calhoun, V.D., Sweeney, J.A., Tamminga, C.A., Keshavan, M.S., Thaker, G., et al. (2012). Differences in resting-state functional magnetic resonance imaging functional network connectivity between schizophrenia and psychotic bipolar probands and their unaffected first-degree relatives. Biol. Psychiatry 71, 881–889.

    Article  PubMed  PubMed Central  Google Scholar 

  • Meda, S.A., Ruaño, G., Windemuth, A., O’Neil, K., Berwise, C., Dunn, S.M., Boccaccio, L.E., Narayanan, B., Kocherla, M., Sprooten, E., et al. (2014). Multivariate analysis reveals genetic associations of the resting default mode network in psychotic bipolar disorder and schizophrenia. Proc. Natl. Acad. Sci. 111, E2066–E2075.

    Google Scholar 

  • Meda, S.A., Wang, Z., Ivleva, E.I., Poudyal, G., Keshavan, M.S., Tamminga, C.A., Sweeney, J.A., Clementz, B.A., Schretlen, D.J., Calhoun, V.D., et al. (2015). Frequency-Specific Neural Signatures of Spontaneous Low-Frequency Resting State Fluctuations in Psychosis: Evidence From Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) Consortium. Schizophr. Bull. 41, 1336–1348.

    Article  PubMed  PubMed Central  Google Scholar 

  • Menon, V. (2011). Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn. Sci. 15, 483–506.

    Article  PubMed  Google Scholar 

  • Menon, V. (2015). Salience Network A2 - Toga, Arthur W. In Brain Mapping, (Waltham: Academic Press), pp. 597–611.

    Chapter  Google Scholar 

  • Ochsner, K.N., Silvers, J.A., and Buhle, J.T. (2012). Functional imaging studies of emotion regulation: a synthetic review and evolving model of the cognitive control of emotion. Ann. N. Y. Acad. Sci. 1251, E1–24.

    Article  PubMed  PubMed Central  Google Scholar 

  • OngĂĽr, D., Lundy, M., Greenhouse, I., Shinn, A.K., Menon, V., Cohen, B.M., and Renshaw, P.F. (2010). Default mode network abnormalities in bipolar disorder and schizophrenia. Psychiatry Res. 183, 59–68.

    Article  PubMed  PubMed Central  Google Scholar 

  • Peters, A.T., Burkhouse, K., Feldhaus, C.C., Langenecker, S.A., and Jacobs, R.H. (2016). Aberrant resting-state functional connectivity in limbic and cognitive control networks relates to depressive rumination and mindfulness: A pilot study among adolescents with a history of depression. J. Affect. Disord. 200, 178–181.

    Article  PubMed  Google Scholar 

  • Pezawas, L., Meyer-Lindenberg, A., Drabant, E.M., Verchinski, B.A., Munoz, K.E., Kolachana, B.S., Egan, M.F., Mattay, V.S., Hariri, A.R., and Weinberger, D.R. (2005). 5-HTTLPR polymorphism impacts human cingulate-amygdala interactions: a genetic susceptibility mechanism for depression. Nat. Neurosci. 8, 828–834.

    Article  CAS  PubMed  Google Scholar 

  • Phillips, M.L., Ladouceur, C.D., and Drevets, W.C. (2008). A neural model of voluntary and automatic emotion regulation: implications for understanding the pathophysiology and neurodevelopment of bipolar disorder. Mol. Psychiatry 13, 829, 833–857.

    Article  Google Scholar 

  • Price, J.L., and Drevets, W.C. (2010). Neurocircuitry of mood disorders. Neuropsychopharmacol. Off. Publ. Am. Coll. Neuropsychopharmacol. 35, 192–216.

    Article  Google Scholar 

  • Price, J.L., and Drevets, W.C. (2012). Neural circuits underlying the pathophysiology of mood disorders. Trends Cogn. Sci. 16, 61–71.

    Article  PubMed  Google Scholar 

  • Rashid, B., Damaraju, E., Pearlson, G.D., and Calhoun, V.D. (2014). Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects. Front. Hum. Neurosci. 8, 897.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rashid, B., Arbabshirani, M.R., Damaraju, E., Cetin, M.S., Miller, R., Pearlson, G.D., and Calhoun, V.D. (2016). Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity. NeuroImage 134, 645–657.

    Article  PubMed  Google Scholar 

  • Rey, G., Desseilles, M., Favre, S., Dayer, A., Piguet, C., Aubry, J.-M., and Vuilleumier, P. (2014). Modulation of brain response to emotional conflict as a function of current mood in bipolar disorder: preliminary findings from a follow-up state-based fMRI study. Psychiatry Res. 223, 84–93.

    Article  PubMed  Google Scholar 

  • Rey, G., Piguet, C., Benders, A., Favre, S., Eickhoff, S.B., Aubry, J.-M., and Vuilleumier, P. (2016). Resting-state functional connectivity of emotion regulation networks in euthymic and non-euthymic bipolar disorder patients. Eur. Psychiatry J. Assoc. Eur. Psychiatr. 34, 56–63.

    Article  CAS  Google Scholar 

  • Roy, A.K., Shehzad, Z., Margulies, D.S., Kelly, A.M.C., Uddin, L.Q., Gotimer, K., Biswal, B.B., Castellanos, F.X., and Milham, M.P. (2009). Functional connectivity of the human amygdala using resting state fMRI. NeuroImage 45, 614–626.

    Article  PubMed  Google Scholar 

  • Satterthwaite, T.D., Kable, J.W., Vandekar, L., Katchmar, N., Bassett, D.S., Baldassano, C.F., Ruparel, K., Elliott, M.A., Sheline, Y.I., Gur, R.C., et al. (2015). Common and Dissociable Dysfunction of the Reward System in Bipolar and Unipolar Depression. Neuropsychopharmacol. Off. Publ. Am. Coll. Neuropsychopharmacol. 40, 2258–2268.

    Article  Google Scholar 

  • Savitz, J.B., Price, J.L., and Drevets, W.C. (2014). Neuropathological and neuromorphometric abnormalities in bipolar disorder: view from the medial prefrontal cortical network. Neurosci. Biobehav. Rev. 42, 132–147.

    Article  CAS  PubMed  Google Scholar 

  • Seeley, W.W., Menon, V., Schatzberg, A.F., Keller, J., Glover, G.H., Kenna, H., Reiss, A.L., and Greicius, M.D. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. J. Neurosci. Off. J. Soc. Neurosci. 27, 2349–2356.

    Article  CAS  Google Scholar 

  • Sergerie, K., Chochol, C., and Armony, J.L. (2008). The role of the amygdala in emotional processing: a quantitative meta-analysis of functional neuroimaging studies. Neurosci. Biobehav. Rev. 32, 811–830.

    Article  PubMed  Google Scholar 

  • Singh, M.K., Chang, K.D., Kelley, R.G., Saggar, M., L Reiss, A., and Gotlib, I.H. (2014). Early signs of anomalous neural functional connectivity in healthy offspring of parents with bipolar disorder. Bipolar Disord. 16, 678–689.

    Google Scholar 

  • Singh, M.K., Kelley, R.G., Chang, K.D., and Gotlib, I.H. (2015). Intrinsic Amygdala Functional Connectivity in Youth With Bipolar I Disorder. J. Am. Acad. Child Adolesc. Psychiatry 54, 763–770.

    Article  PubMed  PubMed Central  Google Scholar 

  • SkĂĄtun, K.C., Kaufmann, T., Tønnesen, S., Biele, G., Melle, I., Agartz, I., Alnæs, D., Andreassen, O.A., and Westlye, L.T. (2016). Global brain connectivity alterations in patients with schizophrenia and bipolar spectrum disorders. J. Psychiatry Neurosci. JPN 41, 150159.

    Article  Google Scholar 

  • Souza-Queiroz, J., Boisgontier, J., Etain, B., Poupon, C., Duclap, D., d’Albis, M.-A., Daban, C., Hamdani, N., Le Corvoisier, P., Delavest, M., et al. (2016). Childhood trauma and the limbic network: a multimodal MRI study in patients with bipolar disorder and controls. J. Affect. Disord. 200, 159–164.

    Article  PubMed  Google Scholar 

  • Spielberg, J.M., Beall, E.B., Hulvershorn, L.A., Altinay, M., Karne, H., and Anand, A. (2016). Resting State Brain Network Disturbances Related to Hypomania & Depression in Medication-Free Bipolar Disorder. Neuropsychopharmacol. 41, 3016–3024.

    Google Scholar 

  • Sridharan, D., Levitin, D.J., and Menon, V. (2008). A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proc. Natl. Acad. Sci. U. S. A. 105, 12569–12574.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Stoddard, J., Gotts, S.J., Brotman, M.A., Lever, S., Hsu, D., Zarate, C., Ernst, M., Pine, D.S., and Leibenluft, E. (2016). Aberrant intrinsic functional connectivity within and between corticostriatal and temporal-parietal networks in adults and youth with bipolar disorder. Psychol. Med. 46, 1509.

    Google Scholar 

  • Strakowski, S.M. (2012). Integration and consolidation – a neurophysiological model of bipolar disorder. In The Bipolar Brain: Integrating Neuroimaging and Genetics, (New York: Oxford University Press), pp. 253–274.

    Google Scholar 

  • Sussmann, J.E., Lymer, G.K.S., McKirdy, J., Moorhead, T.W.J., Muñoz Maniega, S., Job, D., Hall, J., Bastin, M.E., Johnstone, E.C., Lawrie, S.M., et al. (2009). White matter abnormalities in bipolar disorder and schizophrenia detected using diffusion tensor magnetic resonance imaging. Bipolar Disord. 11, 11–18.

    Article  PubMed  Google Scholar 

  • Teng, S., Lu, C.-F., Wang, P.-S., Hung, C.-I., Li, C.-T., Tu, P.-C., Su, T.-P., and Wu, Y.-T. (2013). Classification of bipolar disorder using basal-ganglia-related functional connectivity in the resting state. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2013, 1057–1060.

    Google Scholar 

  • Teng, S., Lu, C.-F., Wang, P.-S., Li, C.-T., Tu, P.-C., Hung, C.-I., Su, T.-P., and Wu, Y.-T. (2014). Altered resting-state functional connectivity of striatal-thalamic circuit in bipolar disorder. PloS One 9, e96422.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Torrisi, S., Moody, T.D., Vizueta, N., Thomason, M.E., Monti, M.M., Townsend, J.D., Bookheimer, S.Y., and Altshuler, L.L. (2013). Differences in resting corticolimbic functional connectivity in bipolar I euthymia. Bipolar Disord. 15, 156–166.

    Article  PubMed  PubMed Central  Google Scholar 

  • Uddin, L.Q. (2015). Salience processing and insular cortical function and dysfunction. Nat. Rev. Neurosci. 16, 55–61.

    Article  CAS  PubMed  Google Scholar 

  • Wang, Y., Zhong, S., Jia, Y., Zhou, Z., Zhou, Q., and Huang, L. (2015). Reduced interhemispheric resting-state functional connectivity in unmedicated bipolar II disorder. Acta psychiatr. Scand. 132, 400–407.

    Google Scholar 

  • Wang, Y., Zhong, S., Jia, Y., Sun, Y., Wang, B., Liu, T., Pan, J., and Huang, L. (2016). Disrupted Resting-State Functional Connectivity in Nonmedicated Bipolar Disorder. Radiology 151641.

    Google Scholar 

  • Wang, Y., Wang, J., Jia, Y., Zhong, S., Zhong, M., Sun, Y., Niu, M., Zhao, L., Zhao, L., Pan, J., et al. (2017). Topologically convergent and divergent functional connectivity patterns in unmedicated unipolar depression and bipolar disorder. Transl. Psychiatry 7, e1165.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Xu, K., Liu, H., Li, H., Tang, Y., Womer, F., Jiang, X., Chen, K., Zhou, Y., Jiang, W., Luo, X., et al. (2014). Amplitude of low-frequency fluctuations in bipolar disorder: a resting state fMRI study. J. Affect. Disord. 152–154, 237–242.

    Google Scholar 

  • Yip, S.W., Mackay, C.E., and Goodwin, G.M. (2014). Increased temporo-insular engagement in unmedicated bipolar II disorder: an exploratory resting state study using independent component analysis. Bipolar Disord. 16, 748–755.

    Google Scholar 

  • Zhao, L., Wang, Y., Jia, Y., Zhong, S., Sun, Y., Qi, Z., Zhang, Z., and Huang, L. (2017). Altered interhemispheric functional connectivity in remitted bipolar disorder: A Resting State fMRI Study. Sci. Rep. 7, 4698.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Zuo, X.-N., Di Martino, A., Kelly, C., Shehzad, Z.E., Gee, D.G., Klein, D.F., Castellanos, F.X., Biswal, B.B., and Milham, M.P. (2010). The oscillating brain: complex and reliable. NeuroImage 49, 1432–1445.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland

    Gwladys Rey & Patrik Vuilleumier

  2. Faculty of Medicine, University of Geneva, Geneva, Switzerland

    Camille Piguet

Authors
  1. Gwladys Rey
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Camille Piguet
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Patrik Vuilleumier
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Patrik Vuilleumier .

Editor information

Editors and Affiliations

  1. Department of Psychiatry & Behavioral Neurosciences, Wayne State U School of Medicine, Detroit, MI, USA

    Vaibhav A. Diwadkar

  2. Heinrich-Heine Univ DĂĽsseldorf, Institut fĂĽr Klinische Neurowissenschaft, Institute of Neuroscience and Medicine Brain & Behaviour (INM-7), Research Centre JĂĽlich JĂĽlich, North Rhine - Westphalia, DĂĽsseldorf, Nordrhein-Westfalen, Germany

    Simon B. Eickhoff

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rey, G., Piguet, C., Vuilleumier, P. (2021). Functional Resting-State Network Disturbances in Bipolar Disorder. In: Diwadkar, V.A., B. Eickhoff, S. (eds) Brain Network Dysfunction in Neuropsychiatric Illness. Springer, Cham. https://doi.org/10.1007/978-3-030-59797-9_13

Download citation

Publish with us

Policies and ethics

Search

Navigation