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Chapter 3 - Neuroanatomical Findings in Bipolar Disorder

from Section 2 - Anatomical Studies

Published online by Cambridge University Press:  12 January 2021

By
Giulia Tronchin  and
Colm McDonald
Edited by
Sudhakar Selvaraj ,
Paolo Brambilla  and
Jair C. Soares
Sudhakar Selvaraj
Affiliation:
UTHealth School of Medicine, USA
Paolo Brambilla
Affiliation:
Università degli Studi di Milano
Jair C. Soares
Affiliation:
UT Harris County Psychiatric Center, USA
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Summary

Over the past three decades, numerous cross-sectional neuroimaging studies have reported neuroanatomical abnormalities in patients with bipolar disorder compared with healthy volunteers. These studies have highlighted those anatomical regions likely to harbor pathophysiological abnormalities underpinning the disorder. However, there are inconsistencies in several of the findings reported, and the precise etiology of structural brain abnormalities remains unclear – for example, the extent to which neuroanatomical abnormalities are driving illness development as distinct from consequential to its treatment.

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Chapter
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Mood Disorders
Brain Imaging and Therapeutic Implications
 , pp. 16 - 27
Publisher: Cambridge University Press
Print publication year: 2021

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References

Panizzon, MS, Fennema-Notestine, C, Eyler, LT, et al. Distinct genetic influences on cortical surface area and cortical thickness. Cereb Cortex. 2009; 19(11): 2728–2735.Google Scholar
Pearlson, GD, Garbacz, DJ, Moberg, PJ, et al. Symptomatic, familial, perinatal, and social correlates of computerized axial tomography (CAT) changes in schizophrenics and bipolars. Journal of Nervous and Mental Disease. 1985; 173: 42–50.CrossRefGoogle ScholarPubMed
Strakowski, SM, DelBello, MP, Adler, CM. The functional neuroanatomy of bipolar disorder: a review of neuroimaging findings. Mol Psychiatry. 2005; 10(1): 105–116.CrossRefGoogle ScholarPubMed
McDonald, C, Zanelli, J, Rabe-Hesketh, S, et al. Meta-analysis of magnetic resonance imaging brain morphometry studies in bipolar disorder. Biol Psychiatry. 2004; 56(6): 411–417.CrossRefGoogle ScholarPubMed
Kempton, MJ, Geddes, JR, Ettinger, U, et al. Meta-analysis, database, and meta-regression of 98 structural imaging studies in bipolar disorder. Arch Gen Psychiatry. 2008; 65(9): 1017–1032.CrossRefGoogle ScholarPubMed
Arnone, D, Cavanagh, J, Gerber, D, et al. Magnetic resonance imaging studies in bipolar disorder and schizophrenia: meta-analysis. Br J Psychiatry. 2009; 195(3): 194–201.Google Scholar
Hallahan, B, Newell, J, Soares, JC, et al. Structural magnetic resonance imaging in bipolar disorder: an international collaborative mega-analysis of individual adult patient data. Biol Psychiatry. 2011; 69(4): 326–335.CrossRefGoogle ScholarPubMed
Hibar, DP, Westlye, LT, Van Erp, TGM, et al. Subcortical volumetric abnormalities in bipolar disorder. Mol Psychiatry. 2016; 21(12): 1710–1716.Google Scholar
Wright, IC, Rabe-Hesketh, S, Woodruff, PWR, et al. Meta – analysis of regional brain volumes in schizophrenia. American Journal of Psychiatry. 2000 January; 157(1): 16–25.Google Scholar
Starkstein, SE, Fedoroff, P, Berthier, ML, et al. Manic-depressive and pure manic states after brain lesions. Biol Psychiatry. 1991; 29(2): 149–158.Google Scholar
Arnone, D, McIntosh, AM, Chandra, P, et al. Meta-analysis of magnetic resonance imaging studies of the corpus callosum in bipolar disorder. Acta Psychiatr Scand. 2008; 118(5): 357–362.Google Scholar
Ganzola, R, Duchesne, S. Voxel-based morphometry meta-analysis of gray and white matter finds significant areas of differences in bipolar patients from healthy controls. Bipolar Disord. 2017; 19(2): 74–83.Google Scholar
Akudjedu, TN, Nabulsi, L, Makelyte, M, et al. A comparative study of segmentation techniques for the quantification of brain subcortical volume. Brain Imaging Behav. 2018 December; 12(6): 1678–1695.CrossRefGoogle ScholarPubMed
Otten, M, Meeter, M. Hippocampal structure and function in individuals with bipolar disorder: a systematic review. J Affect Disord. 2015; 174: 113–125.Google Scholar
Ellison-Wright, I, Bullmore, E. Anatomy of bipolar disorder and schizophrenia: a meta-analysis. Schizophr Res. 2010; 117(1): 1–12.Google Scholar
Bora, E, Fornito, A, Yücel, M, et al. Voxelwise meta-analysis of gray matter abnormalities in bipolar disorder. Biol Psychiatry. 2010; 67(11): 1097–1105.CrossRefGoogle ScholarPubMed
Bora, E, Fornito, A, Yücel, M, et al. The effects of gender on grey matter abnormalities in major psychoses: a comparative voxelwise meta-analysis of schizophrenia and bipolar disorder. Psychol Med. 2012; 42(2): 295–307.Google Scholar
Houenou, J, Frommberger, J, Carde, S, et al. Neuroimaging-based markers of bipolar disorder: evidence from two meta-analyses. J Affect Disord. 2011; 132(3): 344–355.Google Scholar
Selvaraj, S, Arnone, D, Job, D, et al. Grey matter differences in bipolar disorder: a meta-analysis of voxel-based morphometry studies. Bipolar Disord. 2012; 14(2): 135–145.CrossRefGoogle ScholarPubMed
Hanford, LC, Nazarov, A, Hall, GB, et al. Cortical thickness in bipolar disorder: a systematic review. Bipolar Disord. 2016; 18(1): 4–18.Google Scholar
Hibar, DP, Westlye, LT, Doan, NT, et al. Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group. Mol Psychiatry. 2018; 23(4): 932–942.Google Scholar
Altshuler, LL, Curran, J, Hauser, P, et al. T2 hyperintensities in bipolar disorder: magnetic resonance imaging comparison and literature meta-analysis. Am J Psychiatry. 1995; 152: 1139–1144.Google Scholar
Swayze, VW, Andreasen, NC, Alliger, RJ, et al. Structural brain abnormalities in bipolar affective disorder: ventricular enlargement and focal signal hyperintensities. Arch Gen Psychiatry. 1990; 47(11): 1054–1059.Google Scholar
Beyer, JL, Young, R, Kuchibhatla, M, et al. Hyperintense MRI lesions in bipolar disorder: a meta-analysis and review. Int Rev Psychiatry. 2009; 21(4): 394–409.CrossRefGoogle ScholarPubMed
Sarrazin, S, d’Albis, MA, McDonald, C, et al. Corpus callosum area in patients with bipolar disorder with and without psychotic features: an international multicentre study. J Psychiatry Neurosci. 2015; 40(5): 352–359.CrossRefGoogle ScholarPubMed
Pezzoli, S, Emsell, L, Yip, SW, et al. Meta-analysis of regional white matter volume in bipolar disorder with replication in an independent sample using coordinates, T-maps, and individual MRI data. Neurosci Biobehav Rev. 2018; 84: 162–170.Google Scholar
Le Bihan, D, Mangin, J-F, Poupon, C, et al. Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging. 2001; 13(4): 534–546.CrossRefGoogle ScholarPubMed
Jones, DK. Challenges and limitations of quantifying brain connectivity in vivo with diffusion MRI. Imaging Med. 2010; 2(3): 341–355.Google Scholar
Vederine, FE, Wessa, M, Leboyer, M, et al. A meta-analysis of whole-brain diffusion tensor imaging studies in bipolar disorder. Prog Neuro-Psychopharmacology Biol Psychiatry. 2011; 35(8): 1820–1826.Google Scholar
Phillips, ML, Ladouceur, CD, Drevets, WC. A neural model of voluntary and automatic emotion regulation: implications for understanding the pathophysiology and neurodevelopment of bipolar disorder. Mol Psychiatry. 2008; 13(9): 833–857.Google Scholar
Phillips, ML, Drevets, WC, Rauch, SL, et al. Neurobiology of emotion perception II: implications for major psychiatric disorders. Biol Psychiatry. 2003; 54(5): 515–528.CrossRefGoogle ScholarPubMed
Nortje, G, Stein, DJ, Radua, J, et al. Systematic review and voxel-based meta-analysis of diffusion tensor imaging studies in bipolar disorder. J Affect Disord. 2013; 150(2): 192–200.Google Scholar
Wise, T, Radua, J, Nortje, G, et al. Voxel-based meta-analytical evidence of structural disconnectivity in major depression and bipolar disorder. Biol Psychiatry. 2016; 79(4): 293–302.Google Scholar
Leow, A, Ajilore, O, Zhan, L, et al. Impaired inter-hemispheric integration in bipolar disorder revealed with brain network analyses. Biol Psychiatry. 2013; 73(2): 183–193.CrossRefGoogle ScholarPubMed
Emsell, L, Leemans, A, Langan, C, et al. Limbic and callosal white matter changes in euthymic bipolar I disorder: an advanced diffusion magnetic resonance imaging tractography study. Biol Psychiatry. 2013; 73(2): 194–201.Google Scholar
Sarrazin, S, Poupon, C, Linke, J, et al. A multicenter tractography study of deep white matter tracts in bipolar I disorder: psychotic features and interhemispheric disconnectivity. JAMA Psychiatry. 2014; 71(4): 388–396.CrossRefGoogle ScholarPubMed
Emsell, L, McDonald, C. The structural neuroimaging of bipolar disorder. Int Rev Psychiatry. 2009; 21(4): 297–313.Google Scholar
Mahon, K, Burdick, KE, Szeszko, PR. A role for white matter abnormalities in the pathophysiology of bipolar disorder. Neurosci Biobehav Rev. 2010; 34(4): 533–554.Google Scholar
Stephan, KE, Friston, KJ, Frith, CD. Dysconnection in schizophrenia: from abnormal synaptic plasticity to failures of self-monitoring. Schizophr Bull. 2009; 35(3): 509–527.Google Scholar
O’Donoghue, S, Cannon, DM, Perlini, C, et al. Applying neuroimaging to detect neuroanatomical dysconnectivity in psychosis. Epidemiol Psychiatr Sci. 2015; 24(4): 298–302.Google Scholar
Collin, G, van den Heuvel, MP, Abramovic, L, et al. Brain network analysis reveals affected connectome structure in bipolar I disorder. Hum Brain Mapp. 2016; 37(1): 122–134.Google Scholar
O’Donoghue, S, Kilmartin, L, O’Hora, D, et al. Anatomical integration and rich-club connectivity in euthymic bipolar disorder. Psychol Med. 2017; 47(9): 1609–1623.CrossRefGoogle ScholarPubMed
Wang, Y, Deng, F, Jia, Y, et al. Disrupted rich club organization and structural brain connectome in unmedicated bipolar disorder. 2019 February; 49(3): 510–518.Google Scholar
Forde, NJ, O’Donoghue, S, Scanlon, C, et al. Structural brain network analysis in families multiply affected with bipolar I disorder. Psychiatry Res – Neuroimaging. 2015; 234(1): 44–51.Google Scholar
Ajilore, O, Vizueta, N, Walshaw, P, et al. Connectome signatures of neurocognitive abnormalities in euthymic bipolar I disorder. J Psychiatr Res. 2015; 68: 37–44.CrossRefGoogle ScholarPubMed
Gadelkarim, JJ, Ajilore, O, Schonfeld, D, et al. Investigating brain community structure abnormalities in bipolar disorder using path length associated community estimation. Hum Brain Mapp. 2014; 35(5): 2253–2264.Google Scholar
van den Heuvel, MP, Sporns, O. An anatomical substrate for integration among functional networks in human cortex. J Neurosci. 2013; 33(36): 14489–14500.Google Scholar
Van Erp, TGM, Hibar, DP, Rasmussen, JM, et al. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry. 2016; 21(4): 547–553.Google Scholar
Schmaal, L, Veltman, DJ, van Erp, TGM, et al. Subcortical brain alterations in major depressive disorder: Findings from the ENIGMA Major Depressive Disorder working group. Mol Psychiatry. 2016; 21(6): 806–812.Google Scholar
van Erp, TG, Walton, E, Hibar, DP, et al. Cortical brain abnormalities in 4474 individuals with schizophrenia and 5098 controls via the ENIGMA consortium. Biol Psychiatry. 2018 November 1; 84(9): 644–654.CrossRefGoogle ScholarPubMed
Schmaal, L, Hibar, DP, Sämann, PG, et al. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA major depressive disorder working group. Mol Psychiatry. 2017; 22(6): 900–909.Google Scholar
Maggioni, E, Crespo-Facorro, B, Nenadic, I, et al. Common and distinct structural features of schizophrenia and bipolar disorder: The European network on psychosis, affective disorders and cognitive trajectory (ENPACT) study. PLoS One. 2017; 12(11): 1–22.Google Scholar
Wise, T, Radua, J, Via, E, et al. Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: Evidence from voxel-based meta-analysis. Mol Psychiatry. 2016 October; 22(10): 1455–1463.Google Scholar
Kempton, M, Salvador, Z, R Munafò, M, et al. Structural neuroimaging studies in major depressive disorder: Meta-analysis and comparison with bipolar disorder. Archives of General Psychiatry. 2011; 68: 675–690Google Scholar
Sussmann, JE, Lymer, GKS, McKirdy, J, et al. White matter abnormalities in bipolar disorder and schizophrenia detected using diffusion tensor magnetic resonance imaging. Bipolar Disord. 2009 February; 11(1): 11–18.CrossRefGoogle ScholarPubMed
Skudlarski, P, Schretlen, DJ, Thaker, GK, et al. Diffusion tensor imaging white matter endophenotypes in patients with schizophrenia or psychotic bipolar disorder and their relatives. Am J Psychiatry. 2013; 170(8): 886–898.CrossRefGoogle ScholarPubMed
Kumar, J, Iwabuchi, S, Oowise, S, et al. Europe PMC Funders Group. Shared white matter dysconnectivity in schizophrenia and bipolar disorder with psychosis. Psychoogical Medicine. 2015; 45(4): 759–770.CrossRefGoogle ScholarPubMed
Squarcina, L, Bellani, M, Rossetti, MG, et al. Similar white matter changes in schizophrenia and bipolar disorder: A tract-based spatial statistics study. PLoS One. 2017; 12(6): 1–17.Google Scholar
O’Donoghue, S, Holleran, L, Cannon, DM, et al. Anatomical dysconnectivity in bipolar disorder compared with schizophrenia: A selective review of structural network analyses using diffusion MRI. J Affect Disord. 2017; 209: 217–228.Google Scholar
Liberg, B, Rahm, C, Panayiotou, A, et al. Brain change trajectories that differentiate the major psychoses. Eur J Clin Invest. 2016; 46(7): 658–674.Google Scholar
Quiroz, JA, MacHado-Vieira, R, Zarate, CA, et al. Novel insights into lithium’s mechanism of action: Neurotrophic and neuroprotective effects. Neuropsychobiology. 2010; 62(1): 50–60.Google Scholar
Sun, YR, Herrmann, N, Scott, CJM, et al. Global grey matter volume in adult bipolar patients with and without lithium treatment: A meta-analysis. J Affect Disord. 2018; 225: 599–606.Google Scholar
Abramovic, L, Boks, MPM, Vreeker, A, et al. The association of antipsychotic medication and lithium with brain measures in patients with bipolar disorder. Eur Neuropsychopharmacol. 2016; 26(11): 1741–1751.Google Scholar
Yucel, K, McKinnon, MC, Taylor, VH, et al. Bilateral hippocampal volume increases after long-term lithium treatment in patients with bipolar disorder: A longitudinal MRI study. Psychopharmacology. 2007; 195(3): 357–367.Google Scholar
Lyoo, IK, Dager, SR, Kim, JE, et al. Lithium-induced gray matter volume increase as a neural correlate of treatment response in bipolar disorder: A longitudinal brain imaging study. Neuropsychopharmacology. 2010; 35(8): 1743–1750.CrossRefGoogle ScholarPubMed
Selek, S, Nicoletti, M, Zunta-Soares, GB, et al. A longitudinal study of fronto-limbic brain structures in patients with bipolar I disorder during lithium treatment. J Affect Disord. 2013; 150(2): 629–633.Google Scholar
Hafeman, DM, Chang, KD, Garrett, AS, et al. Effects of medication on neuroimaging findings in bipolar disorder: An updated review. Bipolar Disord. 2012; 14(4): 375–410.Google Scholar
McDonald, C. Brain structural effects of psychopharmacological treatment in bipolar disorder. Curr Neuropharmacol. 2015; 13(4): 445–457.Google Scholar
Vernon, AC, Natesan, S, Modo, M, et al. Effect of chronic antipsychotic treatment on brain structure: A serial magnetic resonance imaging study with ex vivo and postmortem confirmation. Biol Psychiatry. 2011; 69(10): 936–944.Google Scholar
Ho, B-C, Andreasen, N, Ziebel, S, et al. Long-term antipsychotic treatment and brain volumes: A longitudinal study of first-episode schizophrenia. Arch Gen Psychiatry. 2012; 68(2): 128–137.CrossRefGoogle Scholar
Abramovic, L, Boks, MPM, Vreeker, A, et al. White matter disruptions in patients with bipolar disorder. Eur Neuropsychopharmacol. 2018; 28(6): 743–751.Google Scholar
Cropley, VL, Klauser, P, Lenroot, RK, et al. Accelerated gray and white matter deterioration with age in schizophrenia. Am J Psychiatry. 2017; 174(3): 286–295.Google Scholar
Nenadić, I, Dietzek, M, Langbein, K, et al. BrainAGE score indicates accelerated brain aging in schizophrenia, but not bipolar disorder. Psychiatry Res – Neuroimaging. 2017; 266: 86–89.Google Scholar
Amelia, Versace, Almeida, Jorge RC, Stefanie, Hassel, et al. Elevated left and reduced right orbitomedial prefrontal fractional anisotropy in adults with bipolar disorder revealed by tract-based spatial statistics. Arch Gen Psychiatry. 2008 September; 65(9): 1041–1052. DOI:10.1001/archpsyc.65.9.1041.Google Scholar
Schneider, MR, Delbello, MP, McNamara, RK, et al. Neuroprogression in bipolar disorder. Bipolar Disord. 2012; 14(4):356–374.Google Scholar
Lim, CS, Baldessarini, RJ, Vieta, E, et al. Longitudinal neuroimaging and neuropsychological changes in bipolar disorder patients: Review of the evidence. Neurosci Biobehav Rev. 2013; 37(3): 418–435.Google Scholar
Kozicky, JM, McGirr, A, Bond, DJ, et al. Neuroprogression and episode recurrence in bipolar I disorder: A study of gray matter volume changes in first-episode mania and association with clinical outcome. Bipolar Disord. 2016; 18(6): 511–519.Google Scholar
Abé, C, Ekman, CJ, Sellgren, C, et al. Manic episodes are related to changes in frontal cortex: A longitudinal neuroimaging study of bipolar disorder 1. Brain. 2015; 138(11): 3440–3448.Google Scholar

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