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A meta-analysis of neurocognition in youth with familial high risk for bipolar disorder

Published online by Cambridge University Press:  23 March 2020

E. Bora*
Affiliation:
Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, 3053Victoria, Australia
A. Özerdem
Affiliation:
Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey Dokuz Eylul University, Health Sciences Institute, Department of Neurosciences, Izmir, Turkey
*
* Corresponding author. Dokuz Eylul Universitesi Tip Fakultesi, Psikiyatri Anabilimdali, Mithatpaşa cad. no 1606 inciralt. yerleşkesi 35340 Balçova/İzmir. Tel. : +90 232 412 22 22. E-mail addresses:[email protected], [email protected] (E. Bora).
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Abstract

Objective:

Neuropsychological impairment, including deficits in social cognition is evident in subjects at genetic high-risk for psychosis. However, findings in youth at genetic risk to bipolar disorder (BP) have been suggested to be less supportive of premorbid deficits. We aimed to conduct a meta-analysis of cognitive deficits in youth with familiar risk for bipolar disorder (FHR-BD).

Methods:

A novel meta-analysis of FHR-BD (mean age 10–25), including 18 studies (786 offsprings/siblings of patients with BD and 794 healthy controls), was conducted.

Results:

Both general cognition (d = 0.29, CI = 0.15–0.44) and social cognition (d = 0.23, CI = 0–0.45) were impaired in FHR-BD. In comparison to controls, FHR-BD had significant deficits in several cognitive domains, including visual memory (d = 0.35), verbal memory (d = 0.21), processing speed (d = 0.26) and sustained attention (d = 0.36). There was no significant difference between FHR-BD and controls in planning and working memory.

Conclusions:

Cognitive deficits are evident in individuals who are at genetic high-risk for developing BD. Neurodevelopmental abnormalities are likely playing a role not only in schizophrenia but also in BD.

Type
Review
Copyright
Copyright © European Psychiatric Association 2017

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References

Bora, EYucel, MPantelis, CCognitive endophenotypes of bipolar disorder: a meta-analysis of neuropsychological deficits in euthymic patients and their first-degree relatives. J Affect Disord 2009; 113: 120.CrossRefGoogle ScholarPubMed
Hidiroğlu, CTorres, IJEr, AIşık, GYalın, NYatham, LN, et al.Response inhibition and interference control in patients with bipolar I disorder and first-degree relatives. Bipolar Disord 2015; 17: 781794.CrossRefGoogle ScholarPubMed
Arts, BJabben, NKrabbendam, Lvan Os, JMeta-analyses of cognitive functioning in euthymic bipolar patients and their first-degree relatives. Psychol Med 2008; 38: 771785.CrossRefGoogle ScholarPubMed
Bora, EPantelis, CMeta-analysis of Cognitive Impairment in First-Episode Bipolar Disorder: Comparison With First-Episode Schizophrenia and Healthy Controls. Schizophr Bull 2015; 41: 10951104.CrossRefGoogle ScholarPubMed
Lee, RSHermens, DFScott, JRedoblado-Hodge, MANaismith, SLLagopoulos, J, et al.A meta-analysis of neuropsychological functioning in first-episode bipolar disorders. J Psychiatr Res 2014; 57: 111.CrossRefGoogle ScholarPubMed
Kumar, CTFrangou, SClinical implications of cognitive function in bipolar disorder. Ther Adv Chronic Dis 2010; 1: 8593.CrossRefGoogle ScholarPubMed
Maccabe, JHLambe, MPCnattingius, SSham, PCDavid, ASReichenberg, A, et al.Excellent school performance at age 16 and risk of adult bipolar disorder: National cohort study. Br J Psychiatry 2010; 196: 109115.CrossRefGoogle ScholarPubMed
Goodwin, GMMartinez-Aran, AGlahn, DCVieta, ECognitive impairment in bipolar disorder: neurodevelopment or neurodegeneration? An ECNP expert meeting report. Eur Neuropsychopharmacol 2008; 18: 787793.CrossRefGoogle ScholarPubMed
Murray, RMSham, PVan Os, JZanelli, JCannon, MMcdonald, CA developmental model for similarities and dissimilarities between schizophrenia and bipolar disorder. Schizophr Res 2004; 71: 405416.CrossRefGoogle ScholarPubMed
Craddock, NOwen, MJThe Kraepelinian dichotomy — going, going… but still not gone. Br J Psychiatry 2010; 196: 9295.CrossRefGoogle Scholar
Parboosing, RBao, YShen, LSchaefer, CABrown, ASGestational influenza and bipolar disorder in adult offspring. JAMA Psychiatry 2013; 70: 677685.CrossRefGoogle ScholarPubMed
Zhao, QMayt, Lui, SSLiu, WHXu, TYu, X, et al.Neurological soft signs discriminate schizophrenia from major depression but not bipolar disorder. Progress Neuropsychopharmacol Biol Psychiatry 2013; 43: 7278.CrossRefGoogle Scholar
Fornito, AMalhi, GSLagopoulos, JIvanovski, BWood, SJVelakoulis, D, et al.In vivo evidence for early neurodevelopmental anomaly of the anterior cingulate cortex in bipolar disorder. Acta Psychiatr Scand 2007; 116: 467472.CrossRefGoogle ScholarPubMed
Freedman, DBrown, ASShen, LSchaefer, CAPerinatal oxytocin increases the risk of offspring bipolar disorder and childhood cognitive impairment. J Affect Disord 2015; 173: 6572.CrossRefGoogle ScholarPubMed
Mcintosh, AMMoorhead, TWMcKirdy, JHall, JSussmann, JEStanfield, AC, et al.Prefrontal gyral folding and its cognitive correlates in bipolar disorder and schizophrenia. Acta Psychiatr Scand 2009; 119: 192198.CrossRefGoogle Scholar
Sivkov, SAkabaliev, VMantarkov, MAhmed-Popova, FAkabalieva, KDiscriminating value of total minor physical anomaly score on the Waldrop scale between patients with bipolar I disorder and normal controls. Psychiatry Res 2013; 210: 451456.CrossRefGoogle ScholarPubMed
Vonk, RVan Der Schot, ACVan Baal, GCVan Oel, CJNolen, WAKahn, RSDermatoglyphics in relation to brain volumes in twins concordant and discordant for bipolar disorder. Eur Neuropsychopharmacol 2014; 24: 18851895.CrossRefGoogle ScholarPubMed
Takahashi, TMalhi, GSNakamura, YSuzuki, MPantelis, COlfactory sulcus morphology in established bipolar affective disorder. Psychiatry Res 2014; 222: 114117.CrossRefGoogle ScholarPubMed
Bora, EDevelopmental trajectory of cognitive impairment in bipolar disorder: comparison with schizophrenia. Eur Neuropsychopharmacol 2015; 25: 158168.CrossRefGoogle ScholarPubMed
Bora, ENeurodevelopmental origin of cognitive impairment in schizophrenia. Psychol Med 2015; 45: 19.CrossRefGoogle Scholar
Agnew-Blais, JSeidman, LJNeurocognition in youth and young adults under age 30 at familial risk for schizophrenia: a quantitative and qualitative review. Cogn Neuropsychiatry 2013; 18: 4482.CrossRefGoogle Scholar
Bora, ELin, AWood, SJYung, ARMcGorry, PDPantelis, CCognitive deficits in youth with familial and clinical high risk to psychosis: a systematic review and meta-analysis. Acta Psychiatr Scand 2014; 130: 115.CrossRefGoogle ScholarPubMed
Doyle, AEWozniak, JWilens, TEHenin, ASeidman, LJPetty, C, et al.Neurocognitive impairment in unaffected siblings of youth with bipolar disorder. Psychol Med 2009; 39: 12531263.CrossRefGoogle ScholarPubMed
Klimes-Dougan, BRonsaville, DWiggs, EAMartinez, PENeuropsychological functioning in adolescent children of mothers with a history of bipolar or major depressive disorders. Biol Psychiatry 2006; 60: 957965.CrossRefGoogle ScholarPubMed
Solé-Padullés, CCastro-Fornieles, JDe La Serna, ERomero, SCalvo, ASánchez-Gistau, V, et al.Altered cortico-striatal connectivity in offspring of schizophrenia patients relative to offspring of bipolar patients and controls. PLoS One 2016;11:e0148045.CrossRefGoogle ScholarPubMed
Whitney, JHowe, MShoemaker, VLi, SMarie Sanders, EDijamco, C, et al.Socio-emotional processing and functioning of youth at high risk for bipolar disorder. J Affect Disord 2013; 148: 112117.CrossRefGoogle ScholarPubMed
Moher, DLiberati, ATetzlaff, JAltman, DGPreferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ 2009;339:b2535.CrossRefGoogle ScholarPubMed
Viechtbauer, WConducting meta-analyses in R with the metafor package. J Stat Softw 2010; 36: 148.CrossRefGoogle Scholar
Wallace, BCDahabreh, IJTrikalinos, TALau, JTrow, PSchmid, CHClosing the gap between methodologists and end-users: R as a computational back-end. J Stat Softw 2012; 49: 115.CrossRefGoogle Scholar
Cardak, GCExecutive functions and theory of mind in the offspring of parents with bipolar disorder Denizli: Pamukkale University; 2013Google Scholar
De La Serna, EVila, MSanchez-Gistau, VMoreno, DRomero, SSugranyes, G, et al.Neuropsychological characteristics of child and adolescent offspring of patients with bipolar disorder. Prog Neuropsychopharmacol Biol Psychiatry 2016; 65: 5459.CrossRefGoogle ScholarPubMed
Deveci, EOzan, EKirkpinar, IOral, MDaloglu, AGAydin, N, et al.Neurocognitive functioning in young high-risk offspring having a parent with bipolar I disorder. Turk J Med Sci 2013; 43: 110117.Google Scholar
Diwadkar, VAGoradia, DHosanagar, AMermon, DMontrose, DMBirmaher, B, et al.Working memory and attention deficits in adolescent offspring of schizophrenia or bipolar patients: comparing vulnerability markers. Prog Neuropsychopharmacol Biol Psychiatry 2011; 35: 13491354.CrossRefGoogle ScholarPubMed
Hanford, LCSassi, RBHall, GBAccuracy of emotion labeling in children of parents diagnosed with bipolar disorder. J Affect Disord 2016; 194: 226233.CrossRefGoogle ScholarPubMed
Karakurt, MNKarabekiroğllu, MZYüce, MBaykal, SŞenses, ANeuropsychological profiles of adolescents with bipolar disorder and adolescents with a high risk of bipolar disorder. Turk J Psychiatry 2013; 24: 221230.Google ScholarPubMed
Kenar, GCitak, SCeylan, MEYesilyurt, SYilmazer, EComparison of neurocognitive functions of offspring of schizophrenic, bipolar and controls. Bull Clin Psychopharmacol 2013;23:S266.Google Scholar
Maróthi, RKéri, SIntuitive physics and intuitive psychology (“theory of mind”) in offspring of mothers with psychoses. Peer J 2014;2:e330.CrossRefGoogle ScholarPubMed
McCormack, CGreen, MJRowland, JERoberts, GFrankland, AHadzi-Pavlovic, D, et al.Neuropsychological and social cognitive function in young people at genetic risk of bipolar disorder. Psychol Med 2016; 46: 745758.CrossRefGoogle ScholarPubMed
McDonough-Ryan, PDelBello, MShear, PKRis, DMSoutullo, CStrakowski, SMAcademic and cognitive abilities in children of parents with bipolar disorder: a test of the nonverbal learning disability model. J Clin Exp Neuropsychology 2002; 24: 280285.CrossRefGoogle ScholarPubMed
Papmeyer, MSussmann, JEHall, JMcKirdy, JPeel, AMacdonald, A, et al.Neurocognition in individuals at high familial risk of mood disorders with or without subsequent onset of depression. Psychol Med 2015; 45: 33173327.CrossRefGoogle ScholarPubMed
Patino, LRAdler, CMMills, NPStrakowski, SMFleck, DEWelge, JA, et al.Conflict monitoring and adaptation in individuals at familial risk for developing bipolar disorder. Bipolar Disord 2013; 15: 264271.CrossRefGoogle ScholarPubMed
Ucok Demir, Evaluation of social cognition in offspring of bipolar parents Istanbul: Marmara University; 2014Google Scholar
Lim Lin, KXu, GWong, NMWu, HLi, TLu, W, et al.A multi-dimensional and integrative approach to examining the high-risk and ultra-high-risk stages of bipolar disorder. EBioMedicine 2015; 2: 919928.CrossRefGoogle Scholar
Adleman, NEYi, JYDeveney, CMGuyer, AELeibenluft, EBrotman, MAIncreased intrasubject variability in response time in unaffected preschoolers at familial risk for bipolar disorder. Psychiatry Res 2014; 219: 687689.CrossRefGoogle ScholarPubMed
Tiihonen, JHaukka, JHenriksson, MCannon, MKieseppä, TLaaksonen, I, et al.Premorbid intellectual functioning in bipolar disorder and schizophrenia: Results from a cohort study of male conscripts. Am J Psychiatry 2005; 162: 19041910.CrossRefGoogle ScholarPubMed
Seidman, LJCherkerzian, SGoldstein, JMAgnew-Blais, JTsuang, MTBuka, SLNeuropsychological performance and family history in children at age 7 who develop adult schizophrenia or bipolar psychosis in the New England Family Studies. Psychol Med 2013; 43: 119131.CrossRefGoogle ScholarPubMed
Bora, EHidiroğlu, CÖzerdem, AKaçar ÖF, Sarısoy, GCivil Arslan, F, et al.Executive dysfunction and cognitive subgroups in a large sample of euthymic patients with bipolar disorder. Eur Neuropsychopharmacol 2016; 26: 13381347.CrossRefGoogle Scholar
Burdick, KERusso, MFrangou, SMahon, KBraga, RJShanahan, M, et al.Empirical evidence for discrete neurocognitive subgroups in bipolar disorder: Clinical implications. Psychol Med 2014; 44: 30833096.CrossRefGoogle ScholarPubMed
Bora, EVeznedaroğlu, BVahip, STheory of mind and executive functions in schizophrenia and bipolar disorder: A cross-diagnostic latent class analysis for identification of neuropsychological subtypes. Schizophr Res 2016; 176: 500505.CrossRefGoogle ScholarPubMed
Clementz, BASweeney, JAHamm, JPIvleva, EIEthridge, LEPearlson, GD, et al.Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers. Am J Psychiatry 2016; 173: 373384.CrossRefGoogle ScholarPubMed
Lewandowski, KESperry, SHCohen, BMOngür, DCognitive variability in psychotic disorders: A cross-diagnostic cluster analysis. Psychol Med 2014; 44: 32393248.CrossRefGoogle ScholarPubMed
Bechdolf, ARatheesh, ACotton, SMNelson, BChanen, AMBetts, J, et al.The predictive validity of bipolar at-risk (prodromal) criteria in help-seeking adolescents and young adults: a prospective study. Bipolar Disord 2014; 16: 493504.CrossRefGoogle Scholar
Maziade, MRouleau, NGingras, NBoutin, PParadis, MEJomphe, V, et al.Shared neurocognitive dysfunctions in young offspring at extreme risk for schizophrenia or bipolar disorder in eastern quebec multigenerational families. Schizophr Bull 2009; 35: 919930.CrossRefGoogle ScholarPubMed
Miskowiak, KWKjærstad, HLMeluken, IPetersen, JZMaciel, BRKöhler, CA, et al.The search for neuroimaging and cognitive endophenotypes: A critical systematic review of studies involving unaffected first-degree relatives of individuals with bipolar disorder. Neurosci Biobehav Rev 2017; 73: 122.CrossRefGoogle ScholarPubMed
Özerdem, ACeylan, DCan, GNeurobiology of Risk for Bipolar Disorder. Curr Treat Options Psychiatry 2016; 3: 315329.CrossRefGoogle ScholarPubMed
Nery, FGNorris, MEliassen, JCWeber, WABlom, TJWelge, JA, et al.White matter volumes in youth offspring of bipolar parents. J Affect Disord 2017; 209: 246253.CrossRefGoogle ScholarPubMed
Hanford, LCSassi, RBMinuzzi, LHall, GBCortical thickness in symptomatic and asymptomatic bipolar offspring. Psychiatry Res 2016; 251: 2633.CrossRefGoogle ScholarPubMed
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