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Neurocognitive functioning in bipolar depression: a component structure analysis

Published online by Cambridge University Press:  26 June 2013

P. Gallagher*
Affiliation:
Institute of Neuroscience (Academic Psychiatry), Newcastle University, UK
J. M. Gray
Affiliation:
Institute of Neuroscience (Academic Psychiatry), Newcastle University, UK
S. Watson
Affiliation:
Institute of Neuroscience (Academic Psychiatry), Newcastle University, UK
A. H. Young
Affiliation:
Centre for Mental Health, Imperial College London, UK
I. N. Ferrier
Affiliation:
Institute of Neuroscience (Academic Psychiatry), Newcastle University, UK
*
*Address for correspondence: Dr P. Gallagher, Academic Psychiatry (Wolfson Research Centre), Campus for Ageing and Vitality, Newcastle General Hospital, Newcastle upon Tyne NE4 5PL, UK. (Email: [email protected])

Abstract

Background

Previous studies of neurocognitive performance in bipolar disorder (BD) have focused predominantly on euthymia. In this study we aimed to compare the neurocognitive profile of BD patients when depressed with healthy controls and explore the component structure of neurocognitive processes in these populations.

Method

Cognitive tests of attention and executive function, immediate memory, verbal and visuospatial learning and memory and psychomotor speed were administered to 53 patients with a SCID-verified diagnosis of BD depression and 47 healthy controls. Test performance was assessed in terms of statistical significance, effect size and percentile standing. Principal component analysis (PCA) was used to explore underlying cognitive factor structure.

Results

Multivariate analysis revealed an overall group effect, depressed BD patients performing significantly worse than controls. Patients performed significantly worse on 18/26 measures examined, with large effect sizes (d > 0.8) on tests of speed of processing, verbal learning and specific executive/working memory processes. Almost all tests produced at least one outcome measure on which ∼25–50% of the BD sample performed at more than 1 standard deviation (s.d.) below the control mean. Between 20% and 34% of patients performed at or below the fifth percentile of the control group in working memory, verbal learning and memory, and psychomotor/processing speed. PCA highlighted overall differences between groups, with fewer extracted components and less specificity in patients.

Conclusions

Overall, neurocognitive test performance is significantly reduced in BD patients when depressed. The use of different methods of analysing cognitive performance is highlighted, along with the relationship between processes, indicating important directions for future research.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2013 

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References

Arts, B, Jabben, N, Krabbendam, L, van Os, J (2008). Meta-analyses of cognitive functioning in euthymic bipolar patients and their first-degree relatives. Psychological Medicine 38, 771785.CrossRefGoogle ScholarPubMed
Austin, MP, Mitchell, P, Wilhelm, K, Parker, G, Hickie, I, Brodaty, H, Chan, J, Eyers, K, Milic, M, Hadzi-Pavlovic, D (1999). Cognitive function in depression: a distinct pattern of frontal impairment in melancholia? Psychological Medicine 29, 7385.Google Scholar
Baddeley, AD, Emslie, H, Nimmo-Smith, I (1992). The Speed and Capacity of Language Processing (SCOLP) Test. Thames Valley Test Company: Bury St Edmunds, Suffolk.Google Scholar
Basso, MR, Lowery, N, Neel, J, Purdie, R, Bornstein, RA (2002). Neuropsychological impairment among manic, depressed, and mixed-episode inpatients with bipolar disorder. Neuropsychology 16, 8491.CrossRefGoogle ScholarPubMed
Binder, LM, Iverson, GL, Brooks, BL (2009). To err is human: ‘abnormal’ neuropsychological scores and variability are common in healthy adults. Archives of Clinical Neuropsychology 24, 3146.Google Scholar
Bora, E, Yucel, M, Pantelis, C (2009). Cognitive endophenotypes of bipolar disorder: a meta-analysis of neuropsychological deficits in euthymic patients and their first-degree relatives. Journal of Affective Disorders 113, 120.CrossRefGoogle ScholarPubMed
Borkowska, A, Rybakowski, JK (2001). Neuropsychological frontal lobe tests indicate that bipolar depressed patients are more impaired than unipolar. Bipolar Disorders 3, 8894.CrossRefGoogle ScholarPubMed
Bourne, C, Aydemir, O, Balanzá-Martínez, V, Bora, E, Brissos, S, Cavanagh, JTO, Clark, L, Cubukcuoglu, Z, Dias, VV, Dittmann, S, Ferrier, IN, Fleck, DE, Frangou, S, Gallagher, P, Jones, L, Kieseppä, T, Martínez-Aran, A, Melle, I, Moore, PB, Mur, M, Pfennig, A, Raust, A, Senturk, V, Simonsen, C, Smith, DJ, Soares, D, Soeiro-de-Souza, MG, Stoddart, SDR, Sundet, K, Szöke, A, Thompson, JM, Torrent, C, Zalla, T, Craddock, N, Andreassen, OA, Leboyer, M, Vieta, E, Bauer, M, Worhunsky, P, Tzagarakis, C, Rogers, RD, Geddes, JR, Goodwin, GM (2013). Neuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis. Acta Psychiatrica Scandinavica. Published online: 26 April 2013 . doi:10.1111/acps.12133.CrossRefGoogle ScholarPubMed
Bryan, J, Luszcz, MA, Crawford, JR (1997). Verbal knowledge and speed of information processing as mediators of age differences in verbal fluency performance among older adults. Psychology and Aging 12, 473478.CrossRefGoogle ScholarPubMed
Burdick, KE, Gunawardane, N, Goldberg, JF, Halperin, JM, Garno, JL, Malhotra, AK (2009). Attention and psychomotor functioning in bipolar depression. Psychiatry Research 166, 192200.CrossRefGoogle ScholarPubMed
Caligiuri, MP, Ellwanger, J (2000). Motor and cognitive aspects of motor retardation in depression. Journal of Affective Disorders 57, 8393.CrossRefGoogle ScholarPubMed
Christensen, H, Griffiths, K, Mackinnon, A, Jacomb, P (1997). A quantitative review of cognitive deficits in depression and Alzheimer-type dementia. Journal of the International Neuropsychological Society 3, 631651.Google Scholar
Clark, L, Sarna, A, Goodwin, GM (2005). Impairment of executive function but not memory in first-degree relatives of patients with bipolar I disorder and in euthymic patients with unipolar depression. American Journal of Psychiatry 162, 19801982.Google Scholar
Cohen, J (1988). Statistical Power Analysis for the Behavioral Sciences, 2nd edn. Lawrence Erlbaum Associates: Hillsdale, NJ.Google Scholar
Cohen, R, Lohr, I, Paul, R, Boland, R (2001). Impairments of attention and effort among patients with major affective disorders. Journal of Neuropsychiatry and Clinical Neurosciences 13, 385395.Google Scholar
Czobor, P, Jaeger, J, Berns, SM, Gonzalez, C, Loftus, S (2007). Neuropsychological symptom dimensions in bipolar disorder and schizophrenia. Bipolar Disorders 9, 7192.Google Scholar
Della, Sala S, Gray, C, Baddeley, A, Allamano, N, Wilson, L (1999). Pattern span: a tool for unwelding visuo-spatial memory. Neuropsychologia 37, 11891199.Google Scholar
Deptula, D, Manevitz, A, Yozawitz, A (1991). Asymmetry of recall in depression. Journal of Clinical and Experimental Neuropsychology 13, 854870.Google Scholar
Dixon, T, Kravariti, E, Frith, C, Murray, RM, McGuire, PK (2004). Effect of symptoms on executive function in bipolar illness. Psychological Medicine 34, 811821.Google Scholar
Dolcos, F, Rice, HJ, Cabeza, R (2002). Hemispheric asymmetry and aging: right hemisphere decline or asymmetry reduction. Neuroscience and Biobehavioral Reviews 26, 819825.CrossRefGoogle ScholarPubMed
Elliott, R (1998). The neuropsychological profile in unipolar depression. Trends in Cognitive Sciences 2, 447454.Google Scholar
Field, A (2000). Discovering Statistics using SPSS for Windows. Sage Publications Ltd: London.Google Scholar
Field, A (2009). Discovering Statistics using SPSS, 3rd edn. Sage Publications Ltd: London.Google Scholar
First, MB, Spitzer, RL, Williams, JBW, Gibbon, M (1995). Structured Clinical Interview for DSM-IV (SCID-I), Research Version. Biometrics Research Department, New York State Psychiatric Institute: New York.Google Scholar
Fossati, P, Amar, G, Raoux, N, Ergis, AM, Allilaire, JF (1999). Executive functioning and verbal memory in young patients with unipolar depression and schizophrenia. Psychiatry Research 89, 171187.Google Scholar
Fossati, P, Harvey, P-O, Le Bastard, G, Ergis, A-M, Jouvent, R, Allilaire, J-F (2004). Verbal memory performance of patients with a first depressive episode and patients with unipolar and bipolar recurrent depression. Journal of Psychiatric Research 38, 137144.Google Scholar
Gallagher, P, Robinson, LJ, Gray, JM, Porter, RJ, Young, AH (2007). Neurocognitive function following remission in major depressive disorder: potential objective marker of response? Australian and New Zealand Journal of Psychiatry 41, 5461.CrossRefGoogle ScholarPubMed
Goodwin, GM (1997). Neuropsychological and neuroimaging evidence for the involvement of the frontal lobes in depression. Journal of Psychopharmacology 11, 115122.Google Scholar
Gorwood, P, Corruble, E, Falissard, B, Goodwin, GM (2008). Toxic effects of depression on brain function: impairment of delayed recall and the cumulative length of depressive disorder in a large sample of depressed outpatients. American Journal of Psychiatry 165, 731739.Google Scholar
Goswami, U, Sharma, A, Varma, A, Gulrajani, C, Ferrier, IN, Young, AH, Gallagher, P, Thompson, JM, Moore, PB (2009). The neurocognitive performance of drug-free and medicated euthymic bipolar patients do not differ. Acta Psychiatrica Scandinavica 120, 456463.Google Scholar
Hamilton, M (1960). A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry 23, 5662.Google Scholar
Hasselbalch, BJ, Knorr, U, Kessing, LV (2011). Cognitive impairment in the remitted state of unipolar depressive disorder: a systematic review. Journal of Affective Disorders 134, 2031.Google Scholar
Holmes, MK, Erickson, K, Luckenbaugh, DA, Drevets, WC, Bain, EE, Cannon, DM, Snow, J, Sahakian, BJ, Manji, HK, Zarate, CA (2008). A comparison of cognitive functioning in medicated and unmedicated subjects with bipolar depression. Bipolar Disorders 10, 806815.Google Scholar
Iverson, GL, Brooks, BL, Langenecker, SA, Young, AH (2011). Identifying a cognitive impairment subgroup in adults with mood disorders. Journal of Affective Disorders 132, 360367.Google Scholar
Judd, LL, Akiskal, HS, Schettler, PJ, Coryell, W, Endicott, J, Maser, JD, Solomon, DA, Leon, AC, Keller, MB (2003). A prospective investigation of the natural history of the long-term weekly symptomatic status of bipolar II disorder. Archives of General Psychiatry 60, 261269.Google Scholar
Judd, LL, Akiskal, HS, Schettler, PJ, Endicott, J, Maser, J, Solomon, DA, Leon, AC, Rice, JA, Keller, MB (2002). The long-term natural history of the weekly symptomatic status of bipolar I disorder. Archives of General Psychiatry 59, 530537.Google Scholar
Kerr, N, Scott, J, Phillips, ML (2005). Patterns of attentional deficits and emotional bias in bipolar and major depressive disorder. British Journal of Clinical Psychology 44, 343356.CrossRefGoogle ScholarPubMed
Kurtz, MM, Gerraty, RT (2009). A meta-analytic investigation of neurocognitive deficits in bipolar illness: profile and effects of clinical state. Neuropsychology Review 23, 551562.CrossRefGoogle ScholarPubMed
Langenecker, SA, Saunders, EFH, Kade, AM, Ransom, MT, McInnis, MG (2010). Intermediate: cognitive phenotypes in bipolar disorder. Journal of Affective Disorders 122, 285293.Google Scholar
Lemelin, S, Baruch, P, Vincent, A, Laplante, L, Everett, J, Vincent, P (1996). Attention disturbance in clinical depression. Deficient distractor inhibition or processing resource deficit? Journal of Nervous and Mental Disease 184, 114121.Google Scholar
Lezak, MD, Howieson, DB, Loring, DW (2004). Neuropsychological Assessment, 4th edn. Oxford University Press: New York.Google Scholar
MacQueen, GM, Tipper, SP, Young, LT, Joffe, RT, Levitt, AJ (2000). Impaired distractor inhibition on a selective attention task in unmedicated, depressed subjects. Psychological Medicine 30, 557564.Google Scholar
Martinez-Aran, A, Vieta, E, Reinares, M, Colom, F, Torrent, C, Sanchez-Moreno, J, Benabarre, A, Goikolea, JM, Comes, M, Salamero, M (2004). Cognitive function across manic or hypomanic, depressed, and euthymic states in bipolar disorder. American Journal of Psychiatry 161, 262270.Google Scholar
McDermott, LM, Ebmeier, KP (2009). A meta-analysis of depression severity and cognitive function. Journal of Affective Disorders 119, 18.Google Scholar
McGonigle, B, Chalmers, M (2002). A behavior-based fractionation of cognitive competence with clinical applications: a comparative approach. International Journal of Comparative Psychology 15, 154173.Google Scholar
Montgomery, SA, Åsberg, M (1979). A new depression scale designed to be sensitive to change. British Journal of Psychiatry 134, 382389.Google Scholar
Moritz, S, Birkner, C, Kloss, M, Jahn, H, Hand, I, Haasen, C, Krausz, M (2002). Executive functioning in obsessive-compulsive disorder, unipolar depression, and schizophrenia. Archives of Clinical Neuropsychology 17, 477483.Google Scholar
Nelson, HE (1982). National Adult Reading Test, NART. Nelson Publishing Company: Windsor.Google Scholar
Neu, P, Bajbouj, M, Schilling, A, Godemann, F, Berman, RM, Schlattmann, P (2005). Cognitive function over the treatment course of depression in middle-aged patients: correlation with brain MRI signal hyperintensities. Journal of Psychiatric Research 39, 129135.Google Scholar
Neu, P, Kiesslinger, U, Schlattmann, P, Reischies, FM (2001). Time-related cognitive deficiency in four different types of depression. Psychiatry Research 103, 237247.CrossRefGoogle ScholarPubMed
Park, DC, Reuter-Lorenz, P (2009). The adaptive brain: aging and neurocognitive scaffolding. Annual Review of Psychology 60, 173196.Google Scholar
Pedhauzur, E, Schmelkin, L (1991). Measurement, Design and Analysis. Lawrence Erlbaum Associates: Hillsdale, NJ.Google Scholar
Popescu, C, Ionescu, R, Jipescu, I, Popa, S (1991). Psychomotor functioning in unipolar and bipolar affective disorders. Romanian Journal of Neurology and Psychiatry 29, 1733.Google Scholar
Porter, RJ, Gallagher, P, Thompson, JM, Young, AH (2003). Neurocognitive impairment in drug-free patients with major depressive disorder. British Journal of Psychiatry 182, 214220.Google Scholar
Psychological Corporation (1998). Vigil™ Continuous Performance Test. Harcourt Brace & Company: San Antonio, TX.Google Scholar
Rey, A (1964). L'Examen Clinique en Psychologie. Press Universitaire de France: Paris.Google Scholar
Robinson, LJ, Stevens, LH, Threapleton, CJD, Vainiute, J, McAllister-Williams, RH, Gallagher, P (2012). Effects of intrinsic and extrinsic motivation on attention and memory. Acta Psychologica 141, 243249.Google Scholar
Robinson, LJ, Thompson, JM, Gallagher, P, Goswami, U, Young, AH, Ferrier, IN, Moore, PB (2006). A meta-analysis of cognitive deficits in euthymic bipolar subjects. Journal of Affective Disorders 93, 105115.CrossRefGoogle Scholar
Roiser, JP, Cannon, DM, Gandhi, SK, Tavares, JT, Erickson, K, Wood, S, Klaver, JM, Clark, L, Zarate, CA Jr., Sahakian, BJ, Drevets, WC (2009). Hot and cold cognition in unmedicated depressed subjects with bipolar disorder. Bipolar Disorders 11, 178189.Google Scholar
Rubinsztein, JS, Michael, A, Underwood, BR, Tempest, M, Sahakian, BJ (2006). Impaired cognition and decision-making in bipolar depression but no ‘affective bias’ evident. Psychological Medicine 36, 629639.Google Scholar
Schneider, JJ, Candiago, RH, Rosa, AR, Ceresér, KM, Kapczinski, F (2008). Cognitive impairment in a Brazilian sample of patients with bipolar disorder. Revista Brasileira de Psiquiatria 30, 209214.Google Scholar
Stevens, JP (2002). Applied Multivariate Statistics for the Social Sciences, 4th edn. Lawrence Erlbaum Associates: Mahwah, NJ.Google Scholar
Sweeney, JA, Kmieca, JA, Kupfer, DJ (2000). Neuropsychologic impairments in bipolar and unipolar mood disorders on the CANTAB neurocognitive battery. Biological Psychiatry 48, 674684.Google Scholar
Taylor Tavares, JV, Clark, L, Cannon, DM, Erickson, K, Drevets, WC, Sahakian, BJ (2007). Distinct profiles of neurocognitive function in unmedicated unipolar depression and bipolar II depression. Biological Psychiatry 62, 917924.Google Scholar
Torres, IJ, Boudreau, VG, Yatham, LN (2007). Neuropsychological functioning in euthymic bipolar disorder: a meta-analysis. Acta Psychiatrica Scandinavica 116, 1726.CrossRefGoogle Scholar
Vanderplas, JM, Garvin, EA (1959). The association value of random shapes. Journal of Experimental Psychology 57, 147154.Google Scholar
Veiel, HO (1997). A preliminary profile of neuropsychological deficits associated with major depression. Journal of Clinical and Experimental Neuropsychology 19, 587603.Google Scholar
Watson, S, Gallagher, P, Porter, RJ, Smith, MS, Herron, LJ, Bulmer, S, Young, AH, Ferrier, IN (2012). A randomized trial to examine the effect of mifepristone on neuropsychological performance and mood in patients with bipolar depression. Biological Psychiatry 72, 943949.Google Scholar
Wolfe, J, Granholm, E, Butters, N, Saunders, E, Janowsky, D (1987). Verbal memory deficits associated with major affective disorders: a comparison of unipolar and bipolar patients. Journal of Affective Disorders 13, 8392.Google Scholar
Xu, G, Lin, K, Rao, D, Dang, Y, Ouyang, H, Guo, Y, Ma, J, Chen, J (2012). Neuropsychological performance in bipolar I, bipolar II and unipolar depression patients: a longitudinal, naturalistic study. Journal of Affective Disorders 136, 328339.Google Scholar
Zakzanis, KK, Leach, L, Kaplan, E (1998). On the nature and pattern of neurocognitive function in major depressive disorder. Neuropsychiatry, Neuropsychology, and Behavioral Neurology 11, 111119.Google Scholar