Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-10T09:04:34.419Z Has data issue: false hasContentIssue false

The pattern and course of cognitive impairment in late-life depression

Published online by Cambridge University Press:  06 August 2009

S. Köhler
Affiliation:
Wolfson Research Centre, Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, SEARCH, EURON, Maastricht University, The Netherlands
A. J. Thomas
Affiliation:
Wolfson Research Centre, Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
N. A. Barnett
Affiliation:
Wolfson Research Centre, Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
J. T. O'Brien*
Affiliation:
Wolfson Research Centre, Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
*
*Address for correspondence: Professor J. T. O'Brien, Professor of Old Age Psychiatry, Wolfson Research Centre, Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK. (Email: j.t.o'brien@ncl.ac.uk)

Abstract

Background

Cognitive deficits persist despite clinical recovery in subjects with late-life depression, but more needs to be known about their longer-term outcome and factors affecting their course. To investigate this, we followed the pattern of cognitive impairments over time and examined the effects of current mood, remission status, age of depression onset and antidepressant (AD) treatment on these deficits.

Method

Sixty-seven subjects aged ⩾60 years with DSM-IV major depressive disorder and 36 healthy comparison subjects underwent tests of global cognition, memory, executive functioning and processing speed at baseline, 6 and 18 months, with some subjects tested again after 4 years. z scores were compared between groups, with analyses of clinical factors that may have influenced cognitive performance in depressed subjects.

Results

Half of the patients exhibited a generalized cognitive impairment (GCI) that persisted after 18 months. Patients performed worse across all cognitive domains at all time points, without substantial variability due to current mood, remission status or AD treatment. Late age of onset was associated significantly with decline in memory and executive functioning. Impaired processing speed may be a partial mediator of some deficits, but was insufficient to explain differences between patients and controls. Four-year follow-up data suggest impairments persist, but do not further decline.

Conclusions

Cognitive deficits in late-life depression persist up to 4 years, affect multiple domains and are related to trait rather than state effects. Differences in severity and course between early and late onset depression suggest different pathogenic processes.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2009

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

Abas, MA, Sahakian, BJ, Levy, R (1990). Neuropsychological deficits and CT scan changes in elderly depressives. Psychological Medicine 20, 507520.CrossRefGoogle ScholarPubMed
Adler, G, Chwalek, K, Jajcevic, A (2004). Six-month course of mild cognitive impairment and affective symptoms in late-life depression. European Psychiatry 19, 502505.CrossRefGoogle ScholarPubMed
Airaksinen, E, Wahlin, Å, Larsson, M, Forsell, Y (2006). Cognitive and social functioning in recovery from depression: results from a population-based three-year follow-up. Journal of Affective Disorders 96, 107110.CrossRefGoogle ScholarPubMed
Alexopoulos, GS (2006). The vascular depression hypothesis: 10 years later. Biological Psychiatry 60, 13041305.CrossRefGoogle ScholarPubMed
Alexopoulos, GS, Meyers, BS, Young, RC, Campbell, S, Silbersweig, D, Charlson, M (1997). ‘Vascular depression’ hypothesis. Archives of General Psychiatry 54, 915922.CrossRefGoogle ScholarPubMed
Almeida, OP, Burton, EJ, Ferrier, N, McKeith, IG, O'Brien, JT (2003). Depression with late onset is associated with right frontal lobe atrophy. Psychological Medicine 33, 675681.CrossRefGoogle ScholarPubMed
Amato, MP, Zipoli, V, Portaccio, E (2008). Cognitive changes in multiple sclerosis. Expert Review of Neurotherapeutics 8, 15851596.CrossRefGoogle ScholarPubMed
APA (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn. American Psychiatric Association: Washington, DC.Google Scholar
Beats, BC, Sahakian, BJ, Levy, R (1996). Cognitive performance in tests sensitive to frontal lobe dysfunction in the elderly depressed. Psychological Medicine 26, 591603.CrossRefGoogle ScholarPubMed
Bhalla, RK, Butters, MA, Mulsant, BH, Begley, AE, Zmuda, MD, Schoderbek, B, Pollock, BG, Reynolds, CF III, Becker, JT (2006). Persistence of neuropsychologic deficits in the remitted state of late-life depression. American Journal of Geriatric Psychiatry 14, 419427.CrossRefGoogle ScholarPubMed
Bulbena, A, Berrios, G (1986). Pseudodementia: facts and figures. British Journal of Psychiatry 148, 8794.CrossRefGoogle Scholar
Butters, MA, Becker, JT, Nebes, RD, Zmuda, MD, Mulsant, BH, Pollock, BG, Reynolds, CF III (2000). Changes in cognitive functioning following treatment of late-life depression. American Journal of Psychiatry 157, 19491954.CrossRefGoogle ScholarPubMed
Butters, MA, Whyte, EM, Nebes, RD, Begley, AE, Dew, MA, Mulsant, BH, Zmuda, MD, Bhalla, R, Meltzer, CC, Pollock, BG, Reynolds, CF III, Becker, JT (2004). The nature and determinants of neuropsychological functioning in late-life depression. Archives of General Psychiatry 61, 587595.CrossRefGoogle ScholarPubMed
Cegalis, J, Bowlin, J (1991). VIGIL: Software for the Assessment of Attention. Forthought: Nashua, NH.Google Scholar
Delaloye, C, Baudois, S, de Bilbao, F, Dubois Remund, C, Hofer, F, Lamon, M, Ragno Paquier, C, Weber, K, Herrmann, FR, Giardini, U, Giannakopoulos, P (2008). Cognitive impairment in late-onset depression. Limited to a decrement in information processing resources? European Neurology 60, 149154.Google ScholarPubMed
Devanand, DP, Pelton, GH, Marston, K, Camacho, Y, Roose, SP, Stern, Y, Sackeim, HA (2003). Sertraline treatment of elderly patients with depression and cognitive impairment. International Journal of Geriatric Psychiatry 18, 123130.CrossRefGoogle ScholarPubMed
Gallassi, R, Di Sarro, R, Morreale, A, Amore, M (2006). Memory impairment in patients with late-onset major depression: the effect of antidepressant therapy. Journal of Affective Disorders 91, 243250.CrossRefGoogle ScholarPubMed
Gualtieri, CT, Johnson, LG (2008). Age-related cognitive decline in patients with mood disorders. Progress in Neuro-Psychopharmacology and Biological Psychiatry 32, 962967.CrossRefGoogle ScholarPubMed
Hawley, CJ, Gale, TM, Sivakumaran, T (2002). Defining remission by cut off score on the MADRS: selecting the optimal value. Journal of Affective Disorders 72, 177184.CrossRefGoogle ScholarPubMed
Herrmann, LL, Goodwin, GM, Ebmeier, KP (2007). The cognitive neuropsychology of depression in the elderly. Psychological Medicine 37, 16931702.CrossRefGoogle ScholarPubMed
Herrmann, LL, Le Masurier, M, Ebmeier, KP (2008). White matter hyperintensities in late life depression: a systematic review. Journal of Neurology, Neurosurgery and Psychiatry 79, 619624.CrossRefGoogle ScholarPubMed
Hickie, I, Naismith, S, Ward, PB, Turner, K, Scott, E, Mitchell, P, Wilhelm, K, Parker, G (2005). Reduced hippocampal volumes and memory loss in patients with early- and late-onset depression. British Journal of Psychiatry 186, 197202.CrossRefGoogle ScholarPubMed
Lavretsky, H, Kurbanyan, K, Ballmaier, M, Mintz, J, Toga, A, Kumar, A (2004). Sex differences in brain structure in geriatric depression. American Journal of Geriatric Psychiatry 12, 653657.CrossRefGoogle ScholarPubMed
Lee, JS, Potter, GG, Wagner, HR, Welsh-Bohmer, KA, Steffens, DC (2007). Persistent mild cognitive impairment in geriatric depression. International Psychogeriatrics 19, 125135.CrossRefGoogle ScholarPubMed
Levy, R (1994). Aging-associated cognitive decline. Working Party of the International Psychogeriatric Association in collaboration with the World Health Organization. International Psychogeriatrics 6, 6368.Google ScholarPubMed
Lezak, MD, Howieson, DB, Loring, DW (2004). Neuropsychological Assessment. Oxford University Press: Oxford, UK.Google Scholar
Lloyd, AJ, Ferrier, IN, Barber, R, Gholkar, A, Young, AH, O'Brien, JT (2004). Hippocampal volume change in depression: late- and early-onset illness compared. British Journal of Psychiatry 184, 488495.CrossRefGoogle ScholarPubMed
Mandelli, L, Serretti, A, Colombo, C, Florita, M, Santoro, A, Rossini, D, Zanardi, R, Smeraldi, E (2006). Improvement of cognitive functioning in mood disorder patients with depressive symptomatic recovery during treatment: an exploratory analysis. Psychiatry and Clinical Neurosciences 60, 598604.CrossRefGoogle ScholarPubMed
McEwen, BS (2005). Glucocorticoids, depression, and mood disorders: structural remodeling in the brain. Metabolism 54, 2023.CrossRefGoogle ScholarPubMed
Montgomery, S, Åsberg, M (1979). A new depression scale designed to be sensitive to change. British Journal of Psychiatry 134, 382389.CrossRefGoogle ScholarPubMed
Nebes, RD, Butters, MA, Mulsant, BH, Pollock, BG, Zmuda, MD, Houck, PR, Reynolds, CF (2000). Decreased working memory and processing speed mediate cognitive impairment in geriatric depression. Psychological Medicine 30, 679691.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
O'Brien, JT (1997). The ‘glucocorticoid cascade’ hypothesis in man. British Journal of Psychiatry 170, 199201.CrossRefGoogle Scholar
O'Brien, JT, Lloyd, A, McKeith, I, Gholkar, A, Ferrier, N (2004). A longitudinal study of hippocampal volume, cortisol levels, and cognition in older depressed subjects. American Journal of Psychiatry 161, 20812090.CrossRefGoogle ScholarPubMed
Petersen, RC, Smith, GE, Waring, SC, Ivnik, RJ, Tangalos, EG, Kokmen, E (1999). Mild cognitive impairment: clinical characterization and outcome. Archives of Neurology 56, 303308.CrossRefGoogle ScholarPubMed
Portella, MJ, Marcos, T, Rami, L, Navarro, V, Gastó, C, Salamero, M (2003). Residual cognitive impairment in late-life depression after a 12-month period follow-up. International Journal of Geriatric Psychiatry 18, 571576.CrossRefGoogle ScholarPubMed
Reppermund, S, Zihl, J, Lucae, S, Horstmann, S, Kloiber, S, Holsboer, F, Ising, M (2007). Persistent cognitive impairment in depression: the role of psychopathology and altered hypothalamic-pituitary-adrenocortical (HPA) system regulation. Biological Psychiatry 62, 400406.CrossRefGoogle ScholarPubMed
Rey, A (1964). Clinical Examination in Psychology. University of Paris: Paris.Google Scholar
Roth, M, Huppert, FA, Mountjoy, CQ, Tym, E (1999). The Cambridge Examination for Mental Disorders of the Elderly – Revised. Cambridge University Press: Cambridge.Google Scholar
Sapolsky, RM (2000). Glucocorticoids and hippocampal atrophy in neuropsychiatric disorders. Archives of General Psychiatry 57, 925935.CrossRefGoogle ScholarPubMed
Sapolsky, RM, Krey, LC, McEwen, BS (1986). The neuroendocrinology of stress and aging: the glucocorticoid cascade hypothesis. Endocrine Reviews 7, 284301.CrossRefGoogle ScholarPubMed
Schweitzer, I, Tuckwell, V, Ames, D, O'Brien, J (2001). Structural neuroimaging studies in late-life depression: a review. World Journal of Biological Psychiatry 2, 8388.CrossRefGoogle ScholarPubMed
Sheline, YI, Price, JL, Vaishnavi, SN, Mintun, MA, Barch, DM, Epstein, AA, Wilkins, CH, Snyder, AZ, Couture, L, Schechtman, K, McKinstry, RC (2008). Regional white matter hyperintensity burden in automated segmentation distinguishes late-life depressed subjects from comparison subjects matched for vascular risk factors. American Journal of Psychiatry 165, 524532.CrossRefGoogle ScholarPubMed
StataCorp (2006). STATA Statistical Software: Release 9.2. Stata Corporation: College Station, TX.Google Scholar
Steffens, DC, Byrum, CE, McQuoid, DR, Greenberg, DL, Payne, ME, Blitchington, TF, MacFall, JR, Krishnan, KR (2000). Hippocampal volume in geriatric depression. Biological Psychiatry 48, 301309.CrossRefGoogle ScholarPubMed
Stroop, J (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology 18, 643662.CrossRefGoogle Scholar
Thomas, AJ, Gallagher, P, Robinson, LJ, Porter, RJ, Young, AH, Ferrier, IN, O'Brien, JT (2009). A comparison of neurocognitive impairment in younger and older adults with major depression. Psychological Medicine 39, 725733.CrossRefGoogle ScholarPubMed
Thomas, AJ, O'Brien, JT (2008). Depression and cognition in older adults. Current Opinion in Psychiatry 21, 8–13.CrossRefGoogle ScholarPubMed
Thomas, AJ, O'Brien, JT, Davis, S, Ballard, C, Barber, R, Kalaria, RN, Perry, RH (2002). Ischemic basis for deep white matter hyperintensities in major depression: a neuropathological study. Archives of General Psychiatry 59, 785792.CrossRefGoogle ScholarPubMed
Turken, AU, Whitfield-Gabrieli, S, Bammer, R, Baldo, JV, Dronkers, NF, Gabrieli, JD (2008). Cognitive processing speed and the structure of white matter pathways: convergent evidence from normal variation and lesion studies. NeuroImage 42, 10321044.CrossRefGoogle ScholarPubMed
Weiland-Fiedler, P, Erickson, K, Waldeck, T, Luckenbaugh, DA, Pike, D, Bonne, O, Charney, DS, Neumeister, A (2004). Evidence for continuing neuropsychological impairments in depression. Journal of Affective Disorders 82, 253258.CrossRefGoogle ScholarPubMed
Zimmerman, M, Chelminski, I, Posternak, M (2004). A review of studies of the Montgomery–Åsberg Depression Rating Scale in controls: implications for the definition of remission in treatment studies of depression. International Clinical Psychopharmacology 19, 17.CrossRefGoogle ScholarPubMed