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Clinical and Research Reports
Published Online: 31 October 2014

Attention Improves After Clinical Improvement in Acutely Depressed Adolescents

Publication: The Journal of Neuropsychiatry and Clinical Neurosciences

Abstract

In recently depressed adolescents, attention and emotional reactivity improved significantly compared with baseline. Working memory did not improve. This supports the position that, in adolescent depression, attention is state dependent compared with other executive functions that are trait dependent.
Major depressive disorder (MDD) in adolescence is common and is often associated with substantial risks and impairments.1 Studying the cognitive deficits in depressed adolescents is important for a better understanding of the pathophysiology and also for clinical practice. For example, improved knowledge of the early course of cognitive deficits in recently depressed adolescents may, inter alia, inform the implementation of verbal therapies and development of rehabilitation programs and influence the advice that child and adolescent mental health professionals may provide to schools regarding the impact on school work.
Previous studies have evaluated cognitive deficits in adolescents with depression,24 and some research has compared acutely depressed adolescents to adolescents whose depression has remitted.5,6 However, there have been no studies that have longitudinally examined cognitive function in depressed adolescents. Based on recent findings,5 we hypothesized that the cognitive deficits in depressed adolescents are state dependent and thus improve in those adolescents who improve clinically.

Methods

Subjects and Procedure

Thirteen recently depressed adolescents (nine girls) with a mean age of 15.5 years (range, 13–18 years) were recruited. They were part of a group of 20 acutely depressed teenagers who had been recently started on fluoxetine. After 2 months of fluoxetine therapy, the patients were evaluated by the treating psychiatrist as “much improved” or “very much improved” according to the Clinical Global Impression Improvement scale. Other measures used to assess depression found significant improvement from baseline assessment: Children’s Depression Rating Scale-Revised (35% improvement), the Beck Depression Inventory for youth ≥ 13 years (51% improvement), and suicidality as evaluated by the Suicide Ideation Questionnaire (30% improvement). Exclusion criteria included the following: psychosis, bipolar disorder, current substance abuse, mental retardation, a major neurological disorder, and patients who were judged to have not clinically improved. Twenty adolescents matched for age and gender constituted the control group. For both the depressed and control groups, two identical evaluations were performed (baseline and at 2 months). All participants and parents signed an informed consent form.

Cognitive Assessment

The Cambridge Neuropsychological Test Automated Battery is a reliable and extensively validated computerized battery, sensitive to cognitive changes caused by a wide range of central nervous system disorders and medication effects.7,8 The following tests were chosen on the basis of their sensitivity to altered cognitive function in depression: psychomotor speed: Motor Task; sustained attention: Rapid Visual Processing; visual-spatial attention: Match to Sample Visual Search; visual memory and learning: Paired Associates Learning; cognitive planning: Stockings of Cambridge (SOC); and working memory: Spatial Working Memory and Spatial Span.

Emotional Reactivity

The International Affective Picture System was used for the evaluation of emotional reactivity. “Emotional reactivity” denotes the characteristics of emotional responding and includes the extent of emotional response, intensity of various components of the response, and threshold of stimuli needed to generate a response.9 The International Affective Picture System is a reliable and valid instrument that uses a series of emotional, normative, and internationally accessible pictorial stimuli. Based on previous studies of depressed patients,10 we used 40 pictures that tapped either positive or negative valence on a scale of 1 (extremely sad) to 10 (extremely happy).

Data Analyses

We used repeated-measure analysis of variance with a between-subjects factor of group (healthy controls/recently depressed patients) and a within-subject factor of time (baseline and after 2 months). Further analysis to evaluate the interaction was conducted with a paired sample t test. SPSS (version 17, SPSS, Chicago) was used for statistical analysis.

Results

Of the four cognitive domains that were impaired at baseline in depressed adolescents compared with matched control subjects, only attention showed significant and reliable improvement. This improvement could not be explained by a training effect, as shown by the group × time interaction (Table 1). There was a significant interaction with the parameters of attention (Rapid Visual Processing A', p=0.046; Match to Sample Visual Search mean correct latency, p=0.046). The depressed group’s scores improved significantly after their levels of depression decreased (Rapid Visual Processing A', t(11)=−3.67, p=0.004; Match to Sample Visual Search mean correct latency, t(12)=4.09, p=0.001).
TABLE 1. Group × Time Interaction of Cognitive and Emotional Measures
 V1: baselineV2: after 2 monthGroup × time
GroupPatients with depression [mean (standard deviation), N]Healthy control subjects [mean (standard deviation), N]Patients with depression [mean (standard deviation), N]Healthy control subjects [mean (standard deviation), N]Statistic test (df)pEffect size (r)
Psychomotor speed       
 MOT response latency769.62 (164.67), 13680.61 (137.33), 19659.48 (136.69), 19641.67 (136.69), 19F(1, 30)=3.470.070.32
Sustained attention       
 RVP A′0.87 (0.05), 120.92 (0.04), 190.91 (0.05), 120.93 (0.05), 19F(1, 29)=4.350.046a0.36
 RVP mean latency487.08 (111.62), 12432.21 (72.33), 19472.35 (67.99), 12418.08 (59.94), 19F(1, 29)=0.000.990.00
Visual-spatial attention       
 MTS mean correct Latency1821.06 (786.09), 131537.93 (368.34), 191411.55 (568.02), 131360.82 (373.06), 19F(1, 30)=4.350.046a0.36
 MTS % correct96.47 (4.45), 1395.72 (4.73), 1994.71 (4.71), 1394.95 (4.35), 19F(1, 30)=0.380.540.11
Visual memory and learning       
 PAL stages completed on first trial5.77 (1.09), 96.58 (1.02), 196.0 (1.32), 96.78 (0.78), 19F(1, 26)=0.010.980.02
 PAL total errors (adjusted)20.11 (28.39), 93.53 (3.47), 199.67 (8.59), 93.26 (4.09), 19F(1, 26)=4.130.0520.37
Working memory       
 SWM between errors24.31 (21.28), 1313.21 (14.60), 1919.0 (14.11), 1311.05 (9.85), 19F(1, 30)=0.510.480.13
 SSP span length6.77 (1.09), 137.21 (1.27), 196.62 (1.33), 137.73 (1.19), 19F(1, 30)=3.300.080.31
Cognitive planning       
 SOC initial thinking time7711.27 (5661.36), 1312715.53 (8588.40), 198704.08 (8386.66), 136500.08 (4325.54), 19F(1, 30)=6.300.02a0.42
 SOC subsequent thinking time1207.86 (1131.74), 13506.73 (586.65), 19654.17 (679.01), 13468.15 (462.58), 19F(1, 30)=3.20.080.31
 Problems solved in minimum moves7.62 (2.66), 1310.05 (1.68), 198.08 (2.25), 139.16 (2.16), 19F(1, 30)=4.20.049a0.35
Emotional slides       
 Positive valance5.93 (0.68), 136.72 (0.85), 196.46 (0.98), 136.44 (0.82), 19F(1, 30)=11.670.002b0.53
 Negative valance6.71 (0.95), 136.06 (0.38), 196.67 (0.83), 136.61 (0.73), 19F(1, 30)=8.460.007b0.47
MOT: Motor Task; MTS: Match to Sample Visual Search; PAL: Paired Associates Learning; RVP: Rapid Visual Processing; SOC: Stockings of Cambridge; SSP: Spatial Span; SWM: Spatial Working Memory.
a
Significant at the 0.05 level (two tailed).
b
Significant at the 0.01 level (two tailed).
The group × time interaction for the test of visual memory did not reach a level of significance (Paired Associates Learning total errors adjusted, p=0.052), and the results differed among the various functions in the tests of executive function. Nevertheless, an interaction was found in planning, as demonstrated by the SOC scores (SOC numbers of problems solved in minimum moves, p=0.049; SOC initial thinking time, p=0.018; SOC subsequent thinking time did not reach a level of significance, p=0.084). Further analysis of the interaction showed that the control group now performed less efficiently (SOC numbers of problems solved in minimum moves, t(18)=2.39, p=0.03) and took less time in planning (SOC initial thinking time, t(18)=3.00 p=0.008), but there was no change in the time taken to finish the task after the initial move (SOC subsequent thinking time, t(18)=0.271 p=0.79). No significant differences were found in the depressed group (SOC numbers of problems solved in minimum moves, t(12)=−0.79, p=0.45; SOC initial thinking time, t(12)=−0.59, p=0.56; SOC subsequent thinking time, t(12)=1.97, p=0.072).
There was no significant group × time interaction in working memory (Spatial Working Memory between errors, p=0.48), and the interaction in the SSP scores showed a tendency toward deterioration (Spatial Span span length p=0.079). For the Spatial Span scores, the control group improved significantly (Spatial Span span length, t(18)=−2.14, p=0.047), and there was no significant change in the depressed group (Spatial Span span length, t(13)=0.56, p=0.58).
There was a significant improvement in emotional reactivity, as shown by a significant group × time interaction for measures of emotional reactivity both for positive stimuli (p=0.002) and for negative stimuli (p=0.007) .The depressed group found the positive stimuli significantly more positive than previously (t(12)=−2.22, p=0.046). The negative stimuli scores of the control group were now judged as more negative (t(18)=−4.71, p=0.000).

Discussion

The central finding of the study is that early in the course of the clinical improvement of depressive illness in adolescents, attention and emotional reactivity improve. Working memory does not.
The study protocol enhances the reliability of these findings. First, unlike previous studies that compared acutely depressed adolescents to remitters and controls, this is the first longitudinal study to evaluate cognitive functions and emotional reactivity in the same patient group. Second, to rule out the possibility of practice effects as a confounder, patients were compared with matched healthy control subjects who underwent two similar evaluations.
There is a current debate of whether cognitive deficits in depressed patients are trait dependent or state dependent. In the literature on depressed adults, there are studies that support cognitive deficits as a trait marker for depression.1113 For example, there is a longitudinal adult twin study that shows cognitive deficits before the evolution of depressive symptoms.14 Further, in a recent large cohort study, deficits in attention and working memory were predictive of affective difficulties in female adolescents but not in male adolescents.15 The finding that some cognitive domains such as working memory did not improve with improvement in depression is consistent with the possibility that this deficit is not state dependent.
Studies that have compared acutely depressed adolescents to remitters and to nondepressed controls5 support the trait hypothesis. The finding of improved attention after clinical improvement is in accordance with the state hypothesis.
Perhaps part of the state versus trait debate will be clarified by separating deficits in attention from executive function. The findings also suggest the need to consider depression-related cognitive deficits in adolescent separately from adults.
The course of neurocognitive deficits has wide clinical relevance. For example, some depressed adolescents with cognitive impairment might be misdiagnosed in the acute illness episode as suffering from attention deficit hyperactivity disorder. Repeating the evaluation when the depression improves may potentially clarify this diagnostic difficulty. It is also salient to remember, when planning a rehabilitation program for a depressed adolescent, that although attention and emotional reactivity, especially to positive stimuli, are likely to improve with clinical improvement, other cognitive functions may not, at least in the short term.
The study is not without limitations: small sample size, subject derivation from a single center, and the single, short-term follow-up evaluation. Addressing these issues in future research would strengthen our findings.

References

1.
Lewinsohn PM, Rohde P, Seeley JR: Major depressive disorder in older adolescents: prevalence, risk factors, and clinical implications. Clin Psychol Rev 1998; 18:765–794
2.
Favre T, Hughes C, Emslie G, et al: Executive functioning in children and adolescents with Major Depressive Disorder. Child Neuropsychol 2009; 15:85–98
3.
Brooks BL, Iverson GL, Sherman EM, et al: Identifying cognitive problems in children and adolescents with depression using computerized neuropsychological testing. Appl Neuropsychol 2010; 17:37–43
4.
Klimkeit EI, Tonge B, Bradshaw JL, et al: Neuropsychological deficits in adolescent unipolar depression. Arch Clin Neuropsychol 2011; 26:662–676
5.
Maalouf FT, Brent D, Clark L, et al: Neurocognitive impairment in adolescent major depressive disorder: state vs. trait illness markers. J Affect Disord 2011; 133:625–632
6.
Maalouf FT, Clark L, Tavitian L, et al: Bias to negative emotions: a depression state-dependent marker in adolescent major depressive disorder. Psychiatry Res 2012; 198:28–33
7.
Fray PJ, Robbins TW: CANTAB battery: proposed utility in neurotoxicology. Neurotoxicol Teratol 1996; 18:499–504
8.
De Luca CR, Wood SJ, Anderson V, et al: Normative data from the CANTAB. I: development of executive function over the lifespan. J Clin Exp Neuropsychol 2003; 25:242–254
9.
Bylsma LM, Morris BH, Rottenberg J: A meta-analysis of emotional reactivity in major depressive disorder. Clin Psychol Rev 2008; 28:676–691
10.
Pause BM, Raack N, Sojka B, et al: Convergent and divergent effects of odors and emotions in depression. Psychophysiology 2003; 40:209–225
11.
Kaneda Y: Verbal working memory impairment in patients with current episode of unipolar major depressive disorder and in remission. Clin Neuropharmacol 2009; 32:346–347
12.
Reppermund S, Ising M, Lucae S, et al: Cognitive impairment in unipolar depression is persistent and non-specific: further evidence for the final common pathway disorder hypothesis. Psychol Med 2009; 39:603–614
13.
Xu G, Lin K, Rao D, et al: Neuropsychological performance in bipolar I, bipolar II and unipolar depression patients: a longitudinal, naturalistic study. J Affect Disord 2012; 136:328–339
14.
Franz CE, Lyons MJ, O’Brien R, et al: A 35-year longitudinal assessment of cognition and midlife depression symptoms: the Vietnam Era Twin Study of Aging. Am J Geriatr Psychiatry 2011; 19:559–570
15.
van Deurzen PA, Buitelaar JK, Agnes Brunnekreef J, et al: Response time variability and response inhibition predict affective problems in adolescent girls, not in boys: the TRAILS study. Eur Child Adolesc Psychiatry 2012; 21:277–287

Information & Authors

Information

Published In

Go to The Journal of Neuropsychiatry and Clinical Neurosciences
Go to The Journal of Neuropsychiatry and Clinical Neurosciences
The Journal of Neuropsychiatry and Clinical Neurosciences
Pages: 153 - 156
PubMed: 25162632

History

Received: 14 December 2013
Accepted: 27 January 2014
Published ahead of print: 31 October 2014
Published online: 1 April 2015
Published in print: Spring 2015

Authors

Details

Yuval Bloch, M.D.
From the Child and Adolescent Outpatient Clinic (Y Bloch, SA, Y Braw, HZG) and Emotion-Cognition Research Center (Y Bloch), Shalvata Mental Health Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (Y Bloch); and Discipline of Psychiatry, University of Sydney and Northern Sydney Central Coast Local Health District, Sydney, Australia (GW).
Shai Aviram, B.A.
From the Child and Adolescent Outpatient Clinic (Y Bloch, SA, Y Braw, HZG) and Emotion-Cognition Research Center (Y Bloch), Shalvata Mental Health Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (Y Bloch); and Discipline of Psychiatry, University of Sydney and Northern Sydney Central Coast Local Health District, Sydney, Australia (GW).
Yoram Braw, Ph.D.
From the Child and Adolescent Outpatient Clinic (Y Bloch, SA, Y Braw, HZG) and Emotion-Cognition Research Center (Y Bloch), Shalvata Mental Health Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (Y Bloch); and Discipline of Psychiatry, University of Sydney and Northern Sydney Central Coast Local Health District, Sydney, Australia (GW).
Hila Z. Gvirts, Ph.D
From the Child and Adolescent Outpatient Clinic (Y Bloch, SA, Y Braw, HZG) and Emotion-Cognition Research Center (Y Bloch), Shalvata Mental Health Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (Y Bloch); and Discipline of Psychiatry, University of Sydney and Northern Sydney Central Coast Local Health District, Sydney, Australia (GW).
Liron Rabany, Ph.D.
From the Child and Adolescent Outpatient Clinic (Y Bloch, SA, Y Braw, HZG) and Emotion-Cognition Research Center (Y Bloch), Shalvata Mental Health Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (Y Bloch); and Discipline of Psychiatry, University of Sydney and Northern Sydney Central Coast Local Health District, Sydney, Australia (GW).
Garry Walter, M.D., Ph.D.
From the Child and Adolescent Outpatient Clinic (Y Bloch, SA, Y Braw, HZG) and Emotion-Cognition Research Center (Y Bloch), Shalvata Mental Health Center, Hod-Hasharon, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (Y Bloch); and Discipline of Psychiatry, University of Sydney and Northern Sydney Central Coast Local Health District, Sydney, Australia (GW).

Notes

Send correspondence to Yuval Bloch, M.D.; e-mail: [email protected]

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