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Abstract

OBJECTIVE: The authors sought to determine whether caudate nucleus volumes or specific genotypes predict psychomotor slowing in older persons with depression. METHOD: Forty-seven persons with depression (mean age=51.8 years, SD=12.4) and 20 healthy volunteers (mean age=56.1 years, SD=9.8) underwent clinical assessments, a neuropsychological test of psychomotor speed (part A of the Trail Making Test), high-resolution magnetic resonance imaging scans, and genotyping for the apolipoprotein E ε4 allele and a mutation of the methylenetetrahydrofolate reductase enzyme. RESULTS: Multivariate analyses revealed that psychomotor speed was uniquely predicted by age, a diagnosis of depression, right caudate nucleus volume, and mutation of the methylenetetrahydrofolate reductase enzyme. CONCLUSIONS: Psychomotor slowing, a key clinical and cognitive phenomenon in older persons with depression, is predicted by reduced caudate nucleus volumes and genetic determinants of homocysteine metabolism.
Magnetic resonance imaging (MRI) studies generally support the concept of frontostriatal abnormalities in patients with depression (1). Such changes include deep white matter and basal ganglia lesions and decreased volumes of the prefrontal cortex, the caudate nucleus, and the putamen (2). Limited evidence suggests that structural abnormalities may be more evident in patients with clinically evident psychomotor change (1). However, the specific relationships between volumetric changes and other key neuropsychological or genetic features have not been characterized.
A small number of genotypes have been suggested as possible risk factors to late-life depression. Although the apolipoprotein E ε4 (APOE-4) allele is an established risk factor for Alzheimer’s disease, it has not been clearly linked to depression (3). We recently reported an association between a mutation of the methylenetetrahydrofolate reductase enzyme (which, in combination with dietary cofactors such as folate and vitamins B6 and B12, determines the rate of homocysteine metabolism) and late-onset depression (3). Here, we examine the interrelationships of a key feature of cognition, namely psychomotor speed, with caudate nucleus volumes and genotypes of APOE and the methylenetetrahydrofolate reductase enzyme.

Method

The participants were drawn from a larger cohort study of late-life depression (3). We have previously reported relationships among clinical features, vascular risk factors, and genetics in these subjects but not neuropsychological characteristics (3). The current study consisted of 47 patients (age range=30 to 82 years) meeting DSM-IV criteria for a current primary major depressive episode and 20 healthy volunteers (age range=40 to 74 years) recruited from the local community. The study was approved by the Institutional Ethics Committee, and all subjects gave written informed consent.
During a semistructured interview, clinicians recorded the patients’ age at onset of depression, score on the 21-item Hamilton Depression Rating Scale, and CORE rating of psychomotor function (4).
As part of a wider neuropsychological battery, all subjects were administered the Mini-Mental State Examination and, as a test of psychomotor speed, part A of the Trail Making Test (5). This test requires the subject to draw a line as quickly as possible to connect 25 numbered circles dispersed on a page.
As described previously (3), patients who were either heterozygous (N=25) or homozygous (N=8) for a mutation of the methylenetetrahydrofolate reductase enzyme were pooled to indicate those “at risk” of raised homocysteine levels. Similarly, subjects were classified as either positive (N=17) or negative (N=50) for the APOE-4 allele.
Whole-brain volumes were traced from high-resolution MRI scans (124×1.5 mm coronal slices; TR=24 msec, TE=5 msec, field of view=26 cm, matrix=256×256) by using methods previously described (6). Two raters (S.N., K.T.; interrater reliability=0.86) manually traced the head and body of left and right caudate nuclei in the coronal plane using the BRAINS software package (7). Volumes (mm3) of each structure were then computed.
All data were analyzed by using the Statistical Package for the Social Sciences (SPSS, release 10.0.7 for Windows, SPSS Inc., Chicago).

Results

Because of the skewed distribution of scores on part A of the Trail Making Test, results of four patients were curtailed to a maximum of 85 seconds (original scores being 120, 120, 107, and 87 seconds).
Relative to healthy volunteers, patients with depression had significantly poorer performance on the Trail Making Test and smaller whole-brain volumes (Table 1). With whole-brain volume as a covariate, however, left caudate nucleus and right caudate nucleus volumes did not differ between persons with depression and healthy volunteers.
For the patients with depression, within-group analyses revealed that Trail Making Test performance was significantly inversely correlated with volume of the left caudate nucleus (r=–0.42, df=45, p<0.01) and the right caudate nucleus (r=–0.49, df=45, p<0.001). Caudate nucleus volumes were not related to Hamilton depression scale score, CORE rating, age at depression onset, or mutation of the methylenetetrahydrofolate reductase enzyme. Age at onset of depression was unrelated to Trail Making Test performance, Hamilton depression scale score, CORE rating, or mutation of the methylenetetrahydrofolate reductase enzyme.
For all subjects, poorer Trail Making Test performance was related to increasing age (r=0.27, df=65, p<0.05), depression diagnosis (t=–3.2, df=65, p<0.01), smaller caudate nuclei volumes (left caudate nucleus: r=–0.41, df=65, p<0.01; right caudate nucleus: r=–0.47, df=65, p<0.001), and mutation of the methylenetetrahydrofolate reductase enzyme (t=–2.3, df=64, p<0.05). There was no relationship between Trail Making Test performance and whole-brain volume or years of education. Presence of the APOE-4 allele was associated with faster Trail Making Test performance (F=4.3, df=1, 65, p<0.05). However, those subjects with the APOE-4 allele had more years of education (t=2.7, df=66, p<0.01). After this variable was controlled, APOE-4 was no longer a significant predictor.
In a multiple regression model, age and whole-brain volume were first entered as a separate block. Left caudate nucleus volume, right caudate nucleus volume, mutation of the methylenetetrahydrofolate reductase enzyme, presence of the APOE-4 allele, and a depressive diagnosis were then entered (stepwise). The overall model predicted 43.2% of the variance in Trail Making Test performance (F=9.1, df=5, 60, p<0.001). Examination of influential data points yielded one criterion outlier (studentized deleted residual=3.2) that, when deleted, resulted in an improvement in the model (R2=48.7%; F=11.2, df=5, 59, p<0.001). Age, whole-brain volume, depression diagnosis, right caudate nucleus volume, and mutation of the methylenetetrahydrofolate reductase enzyme remained significant predictors and uniquely accounted for 4.1% (p<0.05), 1.5% (p<0.19), 15.4% (p<0.01), 9.7% (p<0.001), and 8.9% (p<0.01) of variance respectively, with an additional 9.1% being shared predictor variance.

Discussion

While previous studies have reported structural changes in the basal ganglia in persons with major depression (2), this study demonstrates two novel findings. Both caudate nucleus volumes and genetic determinants of homocysteine metabolism were associated with slower psychomotor speed. The search for etiologic factors in major psychiatric disorders may well be assisted by a focus on determinants of such key clinical phenomena rather than broad or heterogeneous diagnostic categories (4, 8). Raised homocysteine levels are now recognized as a risk factor to vascular disease and dementia (9). Homocysteine is thought to have adverse impacts on cognitive functioning through indirect effects on cerebral microvasculature or direct neurotoxic effects. Smaller caudate nucleus volumes may be the result of a number of developmental, vascular, or neurodegenerative processes. The potential causal role of vascular factors in late-life depression has, however, received increasing support (2, 3, 10). Such factors are thought to have their effects by disruption of key frontostriatal paths. It is important to note that raised homocysteine levels can be reduced by simple dietary supplements, and other vascular risks may be modified by other preventive strategies (10).
TABLE 1

Footnote

Received Feb. 11, 2002; revision received June 5, 2002; accepted June 14, 2002. From the School of Psychiatry, University of New South Wales, Sydney. Address reprint requests to Ms. Naismith, Department of Psychiatry, P.O. Box 1, Rozelle NSW 2039, Australia; [email protected] (e-mail). Supported by grant 953208 from the National Health and Medical Research Council Program.

References

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Steffens DC, Krishnan KRR: Structural neuroimaging and mood disorders: recent findings, implications for classification, and future directions. Biol Psychiatry 1998; 43:705-712
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Hickie I, Scott E, Naismith S, Ward PB, Turner K, Parker G, Mitchell P, Wilhelm K: Late-onset depression: genetic, vascular and clinical contributions. Psychol Med 2001; 31:1403-1412
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Parker G, Hadzi-Pavlovic D, Wilhelm K, Hickie I, Brodaty H, Boyce P, Mitchell P, Eyers K: Defining melancholia: properties of a refined sign-based measure. Br J Psychiatry 1994; 164:316-326
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Hickie I: Utilising behavioural constructs in melancholia research, in Melancholia: A Disorder of Movement and Mood. Edited by Parker G, Hadzi-Pavlovic D. New York, Cambridge University Press, 1996, pp 38-56
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Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 2096 - 2098
PubMed: 12450963

History

Published online: 1 December 2002
Published in print: December 2002

Authors

Details

Sharon Naismith, B.A. Hons., M.Clin.Npsych.
Ian Hickie, M.D., F.R.A.N.Z.C.P.
Philip B. Ward, B.Med.Sc., Ph.D.
Keelin Turner, B.Sc. Hons., M.Clin.Npsych.
Elizabeth Scott, F.R.A.N.Z.C.P.
Craig Little, B.Sc., M.A.
Philip Mitchell, M.D., F.R.A.N.Z.C.P, F.R.C.Psych.
Kay Wilhelm, M.D., F.R.A.N.Z.C.P.
Gordon Parker, D.Sc., M.D., Ph.D., F.R.A.N.Z.C.P.

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