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. 2004 Jan 29;2:2. doi: 10.1186/1741-7015-2-2

Hippocampal volume in early onset depression

Frank P MacMaster 1,2,✉, Vivek Kusumakar 3
PMCID: PMC333436  PMID: 14969587

Abstract

Background

Abnormalities in limbic structures have been implicated in major depressive disorder (MDD). Although MDD is as common in adolescence as in adulthood, few studies have examined youth near illness onset in order to determine the possible influence of atypical development on the pathophysiology of this disorder.

Methods

Hippocampal volumes were measured in 17 MDD subjects (age = 16.67 ± 1.83 years [mean ± SD]; range = 13 – 18 years) and 17 age- and sex-matched healthy controls (16.23 ± 1.61 years [mean ± SD]; 13 – 18 years) using magnetic resonance imaging (MRI).

Results

An analysis of covariance revealed a significant difference between MDD and control subjects (F = 8.66, df = 1, 29, P = 0.006). This was more strongly localized to the left hippocampus (P = 0.001) than the right hippocampus (P = 0.047).

Conclusions

Our findings provide new evidence of abnormalities in the hippocampus in early onset depression. However, our results should be considered preliminary given the small sample size studied.

Keywords: adolescent, depression, hippocampus, magnetic resonance imaging, volume

Background

Major depressive disorder (MDD) is a severe, common and debilitating illness with alarming rates of morbidity and mortality. Evidence suggests that child and adolescent MDD is continuous with adult MDD [1]. The lifetime prevalence of MDD in youth is approximately 15 – 20 %, which is consistent with adult rates of MDD [1].

Structural neuroimaging studies in adult MDD have explored the role of prefrontal cortex, basal ganglia and temporal limbic circuitry in the pathophysiology of the disorder [2]. In the hippocampus, studies of adult MDD have yielded mixed results, with some studies noting smaller volumes [3-11] while five studies failed to note significant differences in hippocampal volumes in adults with depression [12-16]. As noted by Sheline [17], the majority of the studies that reported negative results utilized a lower level of magnetic resonance imaging (MRI) resolution than the studies that had positive findings, and this difference in acquisition may have contributed to the divergent findings.

Few studies have examined brain structure in youth with MDD using MRI techniques [18]. Here, we examined hippocampal volume using MRI in adolescents with MDD and age- and sex-matched healthy controls. Studies of younger patients with MDD near illness onset are critical in our efforts to delineate the pertinent neurobiological substrates of the disorder and to minimize the confounds of course of illness and treatment intervention.

Methods

Subjects

Seventeen subjects with MDD aged 13 to 18 years (8 males and 9 females) and 17 healthy controls matched pairwise for age and sex were recruited. The age of onset of the first clinical presentation in the patients with MDD was 14.06 ± 1.98 years (mean ± SD). Duration of illness in the MDD subjects was 2.89 ± 1.71 years. All case-control pairs were matched within 12 months of each other.

Patients were recruited after being referred to the Izaak Walton Killam (IWK) Health Center's department of Psychiatry. Controls were garnered through advertisement. Both patients and controls were paid a small honorarium for their participation in the study. The Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present Lifetime version (K-SADS-PL [19]) was used to establish diagnosis. Exclusion criteria for participation in this study were a history of neurological illness, serious medical illness, claustrophobia, age greater than 18 years, or the presence of a ferrous implant or pacemaker. Depression symptom severity was assessed using the Childhood Depression Rating Scale [20] (CDRS; score = 65.35 ± 13.87 [mean ± SD]). All depressed subjects had a CDRS score above 42, indicative of significant dysfunction. Nine MDD subjects had a family history of a mood disorder. Two subjects had a comorbid diagnosis of substance abuse and one subject had comorbid diagnosis of oppositional defiant disorder. Three MDD subjects had recently started medication (sertraline, methylphenidate and zopiclone). The remainder of the MDD subjects was treatment naïve (n = 14). Controls did not have any psychiatric illness. Controls were also screened for depression with the CDRS (score = 40.35 ± 13.69 [mean ± SD]). Written informed consent was obtained prior to initiating the study in compliance with the IWK Research Ethics Board.

MRI data acquisition

The MRI studies were conducted with a 1.5 Tesla Siemens Magnetom Vision magnetic resonance system (Germany). A sagittal scout series was acquired to test image quality. A three-dimensional fast low angle shot (FLASH) sequence was used to acquire data from 124 1.5-mm thick contiguous coronal slices through the entire brain (echo time = 5 ms, repetition time = 25 ms, acquisition matrix = 256 × 256 pixels, field of view = 24 cm and flip angle = 40°). Positioning was done in a standardized manner in order to ensure consistency of acquisitions. Images were exported to a computer workstation (Macintosh G4, Apple Computer, Cupertino, California).

Image analysis

Anatomical boundaries were determined from neuroanatomical atlases [21,22]. Anatomical data were analyzed using National Institutes of Health Imaging software (NIHImage 1.62), a semi-automated segmentation algorithm for obtaining reliable quantitative neuroanatomical measurements [23]. Mathematical cutoffs for gray matter-white matter-cerebral spinal fluid divisions were determined with histograms of signal intensity. A point counting stereological approach based on the Cavalieri theorem of systematic sampling has validated this method, and both methods have documented validity and sensitivity with high correlations (r = 0.96) [23].

Left and right hippocampal volumes were measured separately. A manual tracing technique was used to delineate the hippocampus (see Figure 1). Although primarily measured in the coronal plane, all three views (coronal, sagittal and axial) were referenced in order to more accurately segment the hippocampus from the surrounding tissue. Anatomical boundaries were based on the following criteria. For the anterior border, separating the hippocampus from the amygdala was paramount. The appearance of the mammiliary bodies was used a landmark to demarcate roughly where the amygdala starts to appear as one moves to the anterior of the brain from the posterior. As slices move anteriorly, amygdala gray matter begins to extend superior to the hippocampus. With good resolution, the lateral ventricle can be seen between the hippocampus and amygdala. Sagittal views aided in this demarcation. The posterior border was demarcated by the clearest appearance of the fornix. The lateral border was defined by the temporal horn of the lateral ventricle and / or the white matter adjacent to the hippocampal gray matter. The inferior border was demarcated by the white matter of the parahippocampal gyrus. Summed areas and slice thickness were used to calculate volume (right: 20.32 ± 2.85 slices; left: 20.15 ± 2.89 slices [mean ± SD]). Hippocampal length was calculated by multiplying the number of slices by the slice thickness.

Figure 1.

Figure 1

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Sample MRI scans showing the manual tracing technique of the hippocampus. (a) Full coronal image of the brain. (b) Sagittal view of the length of the hippocampal measurement. (c) A section of the image at 2 × magnification showing a close-up of the hippocampus in that slice. (d) The hippocampus traced (white outline).

All measurements were done in a blinded manner by a trained rater (FPM) in a single batch. Interrater reliabilities were high (0.98) as were intrarater reliabilities (0.99) for hippocampal measures. Finished measurements were transformed into axial and sagittal slices in order to determine if adequate hippocampal coverage was achieved. By using all three dimensions of the data set, we feel that we can accurately measure hippocampal volume by taking advantage of all three views.

Data analysis

An analysis of covariance (ANCOVA) with age, sex, and intracranial volume as covariates was used to compare hippocampal volumes. Unpaired t-tests were used to examine differences in demographic variables and depressive symptoms. Clinical and developmental correlations were conducted using Pearson correlations. Two-tailed test significance was used throughout, with statistical significance defined as P < 0.05. All analyses were conducted using SPSS software (SPSS Inc, Chicago, Ill).

Results

The ANCOVA revealed a significant difference between MDD and control subjects (F = 8.66, df = 1, 29, P = 0.006). This was more strongly localized to the left hippocampus (controls: 3.05 ± 0.11 cm3; MDD: 2.53 ± 0.09 cm3 [mean ± SE]; P = 0.001) than the right hippocampus (controls: 2.88 ± 0.11 cm3; MDD: 2.54 ± 0.12 cm3 [mean ± SE]; P = 0.047) (see Figure 2). Left hippocampal length was also smaller in adolescent MDD subjects compared to case matched controls (mean ± SE controls: 3.14 ± 0.09 cm; MDD: 2.70 ± 0.09 cm [mean ± SE]; t = 4.55, df = 16, P < 0.001). Upon consideration of only the pairs using treatment naïve MDD subjects (14 pairs), the findings remained, with smaller left hippocampal volumes being noted in the treatment naïve depressed adolescents (controls: 3.01 ± 0.13 cm3; MDD: 2.48 ± 0.13 cm3 [mean ± SE]; F = 10.83, df = 1, 26, P = 0.003). Age did not correlate with any measure of the hippocampus in either group.

Figure 2.

Figure 2

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Graphs of hippocampal results. (a) Left hippocampus in controls and depressed youth and (b) right hippocampus in controls and depressed youth.

As expected, MDD subjects were significantly more depressed than controls (t = 5.29, df = 22, P < 0.001). CDRS scores did not correlate with hippocampal volumes in the depressed subjects or the controls. In the depressed subjects, age of onset was negatively correlated with left hippocampal volumes (r = -0.59, P = 0.03). However, duration of illness was positively correlated with left hippocampal volume (r = 0.57, P = 0.04).

Comparable ages were observed in male (16.66 ± 2.06 years [mean ± SD]) and female patients with MDD (16.67 ± 1.74 years [mean ± SD]; t = 0.02, df = 15, P = 0.98) indicating that the age ranges in the two sexes were similar. Age at onset of illness did not differ between male and female patients (male: 166.17 ± 20.15 months; female: 170.63 ± 27.27 months [mean ± SD]; t = 0.34, df = 12, p = 0.74). The smaller volume shown in the left hippocampus was more prominent in males (controls: 3.38 ± 0.44 cm3; MDD: 2.65 ± 0.38 cm3 [mean ± SD]; t = 3.51, df = 14, P = 0.004) than females (controls: 2.76 ± 0.21 cm3; MDD: 2.42 ± 0.37 cm3 [mean ± SD]; t = 2.39, df = 16, P = 0.03).

Discussion

The principal finding of this study is a smaller left hippocampal volume (by 17 %) in early onset adolescent depression as compared to age- and sex-matched healthy controls. In past studies that reported positive findings regarding decreased hippocampal volumes in depressed patients, a decrease of similar magnitude was noted (8 – 19 %) [4,5,9,10]. Similar to another study, the smaller hippocampal volume was more prominent in males than females [11]. Akin to the trend noted by MacMillan and colleagues [24], the difference was also more substantial on the left than the right. Hippocampal size did not correlate with age in either group. However, hippocampal size was correlated negatively with age of onset in the depressed subjects. This is consistent with Steffens and others' [8] finding of smaller hippocampal size associated with older age of onset. Of special interest is that we noted a positive correlation with duration of illness and hippocampal size. This may explain why younger adult studies of depression (as opposed to middle aged and elderly samples) have not shown a decrease in hippocampal size [25], as the difference may be lost during early adulthood. However, this should be considered speculative and the correlation should be replicated. As these patients were all early onset cases, we cannot speculate about the effects of number of episodes on hippocampal volume.

It is a commonly held hypothesis that cell loss related to depression in the hippocampus involves glucocorticoids. Glucocorticoid hypersecretion can lead to cell death in the hippocampus and may be responsible for the cell loss noted in this region in a number of neuropsychiatric disorders [26]. Hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis is a relatively consistent finding in adults with MDD, with hypercortisolemia being prominent [27]. This is state-dependent and tends to resolve with recovery. Hence, the relationship between the number of days depressed and atrophy in the hippocampus noted by Sheline et al. [5] is logical, as excessive glucocorticoids can lead to increased cell death [26]. In adolescents with depression, the evidence of cortisol abnormalities is much less compelling. One study failed to note any differences in the summary cortisol measures [28], while two studies noted an increase in cortisol after sleep onset in depressed adolescents [29,30]. After sleep onset, cortisol is usually quiescent. It has been hypothesized that it reflects more of a variation in the diurnal variation of cortisol than a robust increase in overall cortisol activity [29,30]. Mineralcorticoid (MR) receptors appear to be operative at low cortisol concentrations and may offer tonic inhibition to the HPA axis during the nadir of the circadian rhythm [31,32]. As the diurnal activity of the HPA axis is disrupted in MDD youth, particularly when cortisol activity is at its lowest [29,30], it may be indicative of altered MR function, with MRs being found in the amygdala and hippocampus. Classic cortisol hypersecretion is thought to be rare in depressed children and adolescents [33]. This is also consistent with our lack of a negative correlation between duration of illness and left hippocampal volume in depression. However, the reasons behind the positive correlation are unclear and require replication.

As positive correlations have previously been noted between hippocampal volume and anxiety in depressed subjects and controls [24,25], the fact that we did not control for this may represent a limitation of this study. No subject had a comorbid anxiety disorder, however, and unlike the depressed subjects with anxious symptoms used in the study by Rusch et al. [25], our sample demonstrated differences in volume when comparing diagnostic groups. It is also worth noting that Vythilingam and colleagues [34] did not find any differences in hippocampal volume in panic disorder, and hence anxiety may not have as profound an effect on hippocampal volume as one would assume.

To our knowledge, this is the first published report regarding hippocampal volume in youth with early onset depression compared to healthy controls. These conclusions should be considered preliminary, considering the small sample sizes used. Future directions include the examination of high-risk for depression subjects, larger sample sizes and longitudinal studies of illness course. The use of convergent measures such as tests of working memory along with the volumetric data would also be of value. Also, the evaluation of related limbic structures, such as the amygdala, using MRI is of keen interest.

Conclusions

We have noted smaller left hippocampal volumes in depressed adolescents compared to healthy age- and sex-matched controls. This decrease was negatively correlated with age of onset, indicating a smaller hippocampus in those experiencing a later age of onset. Left hippocampal volumes were positively correlated with duration of illness and may reflect a differential developmental course incurred by the disorder or an attempt at recovery by the body.

Competing Interests

None declared.

Author's Contributions

FM contributed the experimental design, acquisition, analysis and interpretation. VK contributed to the experimental design, patient recruitment and assessment. Both authors contributed to the manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1741-7015/2/2/prepub

Acknowledgments

Acknowledgements

The authors wish to thank Drs Kazue Semba and John Connolly for helpful comments on the manuscript. The authors would also like to thank the Nova Scotia Health Research Foundation and the Theodore and Vada Stanley Foundation for their support.

Contributor Information

Frank P MacMaster, Email: fpmacmas@dal.ca.

Vivek Kusumakar, Email: Vivek.Kusumakar@dal.ca.

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