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. 2015 May 18;5:9707. doi: 10.1038/srep09707

Brain structural alterations associated with young women with subthreshold depression

Haijiang Li 1,2, Dongtao Wei 1,2, Jiangzhou Sun 1,2, Qunlin Chen 1,2, Qinglin Zhang 1,2,a, Jiang Qiu 1,2,b
PMCID: PMC4434907  PMID: 25982857

Abstract

Neuroanatomical abnormalities in patients with major depression disorder (MDD) have been attracted great research attention. However, the structural alterations associated with subthreshold depression (StD) remain unclear and, therefore, require further investigation. In this study, 42 young women with StD, and 30 matched non-depressed controls (NCs) were identified based on two-time Beck Depression Inventory scores. Whole-brain voxel-based morphometry (VBM) and region of interest method were used to investigate altered gray matter volume (GMV) and white matter volume (WMV) among a non-clinical sample of young women with StD. VBM results indicated that young women with StD showed significantly decreased GMV in the right inferior parietal lobule than NCs; increased GMV in the amygdala, posterior cingulate cortex, and precuneus; and increased WMV in the posterior cingulate cortex and precuneus. Together, structural alterations in specific brain regions, which are known to be involved in the fronto-limbic circuits implicated in depression may precede the occurrence of depressive episodes and influence the development of MDD.

Depression is one of the most common mental disorders in the adult population1. Subthreshold depression (StD), defined as subjects with scores above a cut-off score in a self-report depressive measure but do not fulfill the criteria for major depression disorder (MDD), is more prevalent than MDD2. Studies found that StD has a serious effect on the quality of life and daily functioning and also increases societal medical burden3,4.

Brain structural imaging has been widely used to explore structures and associated circuits involved in the pathophysiology of MDD, including prefrontal cortex (PFC), anterior cingulate cortex (ACC), hippocampus, and amygdala5,6,7. Individuals with major depression have reduced gray matter volume (GMV) in the medial PFC and ACC when compared with non-depressed controls (NCs)8. In addition, decreased hippocampus and amygdala volumes in depressed individuals have been reported as well9,10.

Structural alterations in similar regions have also been reported in populations with elevated risk for depression or with StD. Although the evidence base is similar, the direction of effects sometimes differs from that observed in MDD1,11. For instance, previous studies reported larger amygdala volume in participants with elevated risk for depression12,13, whereas others observed no volumetric differences in the amygdala14. Findings regarding the hippocampus also showed inconsistent results. Spalletta and colleagues15 found reduced hippocampus volume only in healthy males with subclinical depression. Meanwhile, such results were not observed in other studies that recruited only women with subclinical depression16. In addition, studies involving participants with elevated risk for depression mainly reported a smaller volume in the PFC, such as mPFC and ACC, compared with NCs1,11,14, but examination of cortical thickness in adolescents with elevated risk for depression showed increased thickness in some regions of PFC, such as mPFC and ACC17.

Previous research mainly examined structural abnormalities in MDD. The brain structural abnormalities concerning StD remain unclear and, thus, require further investigation. Considering that StD is regarded as the prodromal phase of MDD2,3 and can predict the occurrence of depressive disorders18, it is important to gain a better understanding of this disorder. Although previous studies have investigated the structural variances in individuals with StD or with high risk for depression14,15,16, the results are inconsistent and significantly differ from those of the current study in several aspects. First, unlike previous studies which used adolescents19 or elderly20 samples, the present study focuses on exploring structural variances among young adults (ages 18 to 24 years) with StD, because this developmental period (ages 18 to 24 years) is a critical transition period21 characterized by higher than average stress levels compared with other developmental phases22. Moreover, age-related alterations in brain structure are ongoing during young adulthood23, especially in the PFC, a region crucial for self-control and emotional regulation24. Delayed maturation of brain structures and multiple stressors may also increase risk for mood disorders among young adults25. Second, to recruit individuals that are truly under the state of StD, we used a relatively more standard two-time screening procedure employing the commonly used Beck Depression Inventory, which has not been utilized by the aforementioned studies. Third, inconsistent findings observed in previous studies may be due to the usage of different analytic strategies (region of interest, ROI or whole-brain survey). To obtain a clearer picture of structural variances associated with StD, the current study combines both ROI and whole-brain analysis.

In summary, the goal of the current research is to explore structural alterations associated with StD in a sample of non-clinical, healthy young women using voxel-based morphometry (VBM). Based on the findings of previous structural imaging studies with psychiatric and high risk samples, we posit that young women with StD would have associated structural abnormalities in the fronto-limbic brain circuits including the regions of mPFC, ACC, hippocampus and amygdala.

Results

Behavioral data

Characteristics for participants in the StD and NC groups are presented in Table 1. Participants in the StD and NC groups did not differ in age, t(70) = 0.24, p = 0.81; Combined Raven's Test (CRT) score, t(70) = −1.33, p = 0.19; global gray matter volume, t(70) = 1.00, p = 0.32; or global white matter volume, t(70) = 1.46, p = 0.15. However, they differed in Beck Depression Inventory (BDI) scores, t(70) = 16.80, p < 0.0001.

Table 1. Characteristics for young women in subthreshold depression and non-depressed controls.

  Subthreshold depression (42) Non-depressed controls (30) T-test
  Mean SD Mean SD t score p
Age 20.26 0.89 20.20 1.30 0.24 0.81
CRT 63.29 6.26 65.03 4.23 1.33 0.19
BDI 22.74 5.88 3.87 2.11 16.80 0.0001
Global GMV 0.39 0.03 0.38 0.02 1.00 0.32
Global WMV 0.44 0.03 0.43 0.02 1.46 0.15
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Note: CRT: Combined Raven's Test; BDI, Beck Depression Inventory II; GMV, gray matter volume; WMV, white matter volume.

Regional GMV alterations in StD - Whole brain analysis

Compared with NCs, participants with StD showed significantly decreased GMV in a cluster that mainly included regions of the right inferior parietal lobule (IPL) and postcentral gyrus (peak MNI coordinate: 36, −25, 49; t = 4.91, p (corrected) < 0.05; Cluster size = 2585 mm3; Fig. 1; Table 2). Furthermore, participants with StD showed significantly increased GMV (1) in a cluster that mainly included the regions of bilateral precuneus (PreC), cuneus and superior occipital gyrus (peak MNI coordinate: 9, −79, 36; t = 4.57, p (corrected) < 0.05; Cluster size = 5072 mm3; Fig. 2A; Table 2); and (2) in a cluster that mainly included the regions of bilateral posterior cingulate cortex (PCC), calcarine and lingual gyrus (peak MNI coordinate: −18, −72, 12; t = 3.99, p (corrected) = 0.054; Cluster size = 9085 mm3; Fig. 2B; Table 2).

Figure 1. Gray matter volume reductions in the regions of right inferior parietal lobule and postcentral gyrus (peak MNI coordinate: 36, −25, 49; t = 4.91, p (corrected) < 0.05) among young women with subthreshold depression as compared with non-depressed controls.

Figure 1

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The color density represents the T score.

Table 2. Differences in gray-matter and white-matter volumes between young women with subthreshold depression and non-depressed controls.

  Brain regions   MNI coordination Cluster size (mm3) Peak T-Value
x y z
Altered GMV in StD            
  Decreased GMV            
  IPL/Postcentral gyrus R 36 −25 49 2585 4.91
  Increased GMV            
  Precuneus/Cuneus R/L 9 −79 36 5072 4.57
PCC/Calcarine/Lingual gyrus R/L −18 −72 12 9085 3.99
Amygdala R −26 2 −27 310 3.28*
Altered WMV in StD            
  Increased GMV            
  PCC/Precuneus/Calcarine L −12 −76 15 4208 3.86
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Note: GMV, gray matter volume; WMV, white matter volume; StD, subthreshold depression; IPL, inferior parietal lobule; PCC, posterior cingulate cortex.

*result significant at p < 0.05 using the small volume correction.

Figure 2. Regions of gray matter volume increases among young women with subthreshold depression as compared with non-depressed controls.

Figure 2

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(A) Gray matter volume increases in the regions of bilateral precuneus, cuneus and superior occipital gyrus (peak MNI coordinate: 9, −79, 36; t = 4.57, p (corrected) < 0.05). (B) Gray matter volume increases in the regions of bilateral posterior cingulate cortex, calcarine and lingual gyrus (peak MNI coordinate: −18, −72, 12; t = 3.99, p (corrected) < 0.05). (C) Gray matter volume increases in the left amygdala (peak MNI coordinate: −26, 2, −27; t = 3.28, p (SVC) < 0.05). The color density represents the T score. SVC, small volume correction.

Regional GMV alterations in StD - ROI based analyses

To examine whether there were any differences in GMV between StD and NC groups in a priori regions, we conducted separate analyses using predefined ROI. Results indicated that individuals with StD had increased GMV in the left amygdala (peak MNI coordinate: −26, 2, −27; t = 3.28, p (SVC) < 0.05; Cluster size = 310 mm3; Fig. 2C; Table 2) as compared with NCs. No other significant effects were found.

Regional WMV alterations in StD

Compared to NCs, participants with StD showed significantly increased white matter volume (WMV) in a cluster that mainly included the regions of left PCC, PreC and calcarine (peak MNI coordinate: −12, −76, 15; t = 3.86, p (corrected) < 0.05; Cluster size = 4208 mm3; Fig. 3; Table 2). No other significant effects were found.

Figure 3. White matter volume increases in the regions of left posterior cingulate cortex, precuneus, and calcarine (peak MNI coordinate: −12, −76, 15; t = 3.86, p (corrected) < 0.05) among young women with subthreshold depression as compared with non-depressed controls.

Figure 3

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The color density represents the T score.

Discussion

The goal of the present study is to characterize brain structural alterations associated with StD in a sample of non-clinical, healthy young women using VBM. Structural alterations were observed in GMV and WMV in participants with StD. The main findings were that, compared with NCs, participants with StD had decreased GMV in the right inferior parietal lobule; and increased GMV in the left amygdala and bilateral precuneus (PreC) and posterior cingulate cortex (PCC). In addition, compared with NCs, participants with StD had increased WMV in the PCC and PreC. These results provide direct neuroanatomical evidence for structural alterations associated with depressive symptoms in young female adults, even at a subthreshold level.

Consistent with our hypothesis, amygdala volume alterations were observed in young women with StD. Unlike reports of decreased GMV of amygdala in patients with MDD5,26, the present study observed increased GMV of amygdala among young women with StD as compared with NCs. In fact, the amygdala findings are highly inconsistent among studies on depression6. However, most structural imaging studies on populations at risk for depression found greater amygdala volume than NCs12,13, which is in line with our findings. In addition, recent studies have found the association between increased amygdala volume and heightened negative affect27 and negative memory bias28, which are regarded as psychological characteristics and vulnerability factors of depression.

Decreased GMV in right anterior IPL and increased GMV in PCC and PreC were also observed among young women with StD, although these regions were not included in our a priori hypotheses. As a core component of the frontoparietal control system29, the anterior IPL has been implicated in cognitive control, episodic memory30,44, and integration of perceptual information and detection of conflict29. The dysfunction of the anterior IPL in depression has been connected to deficits in emotion processing, audiovisual integration, and impaired memory31. Reduced IPL volume or cortical thickness have been observed among individuals with elevated depressive symptoms32, familial risk for major depression disorder17, and untreated first episode MDD33. Thus, the reduced IPL volume may induce inefficient attentional control on negative emotion processing. In relation to this, previous studies have documented that biased processing of negative information contributes to the onset and maintenance of the depression34.

In this study, we also found that GMV of the PCC and PreC were significantly increased in young women with StD. The role of PCC and PreC in emotion evaluation and episodic memory has been described in functional neuroimaging studies, which reported hyperactivity in the PCC and PreC in evaluating emotional stimuli35. Recent structural imaging study reported increased gray matter density in the regions of PCC and PreC among bipolar patients as compared with NCs36. Significantly positive correlation between depressive symptoms and PCC volume have also been observed37. Thus, increased PCC/PreC GMV may be correlated with deficits in emotion evaluation and episodic memory retrieval bias in StD.

Greater regional WMV in the regions of PCC and PreC in young women with StD may reflect abnormal fibers connections that influence neural transmission in the area and among networks. The PCC and PreC regions interact with the medial PFC composed a distributed network during rest, default mode network (DMN)38. DMN has been found to be overactive among depressive disorders both during rest39 and when facing emotional stimuli40, which is associated with increased negative rumination in depressive disorders39. Thus, enhanced WMV in PCC and PreC may affect the functional interactions between PreC/PCC and other regions among DMN in young women with StD.

We found no volumetric alteration in the ACC and mPFC in young women with StD, although brain volume alterations has been reported in patients with MDD. In fact, volume changes in the regions of PFC among individuals with high risk for depression is controversial12,41,42. Taki and colleagues found reduced GMV in the bilateral mPFC in male individuals with StD41. However, researcher also reported no significant alteration in PFC volume42 or greater GMV in PFC12 among individuals with high risk for depression. These inconsistent results may due to the difference in study samples, depression measures employing and participants screening methods14. The inconsistency also underlines that more evidence is needed in future studies to explore structural variance associated with subthreshold depression.

Notwithstanding its potential implications, the main limitations of this study should be acknowledged. First, only young women were recruited in the present study, which may limit the generalizability of the findings to men. However, previous studies reported that both depression and anxiety disorders are more prevalent among women than among men43. In addition, little is known about possible gender differences in brain structure in StD15, thus, we decided to choose only female participants to reduce the heterogeneity of our sample. Future research could investigate gender differences in the structural alteration among individuals with StD.

Second, this study was conducted in a sample with StD, and, thus caution should be warranted in making any conclusions about clinical symptoms levels of depression. Third, whereas limiting the assessment to young adults was advantageous in examining structural alterations between individuals with StD and NCs independent of aging and life experience, it remains unclear whether the current findings are generalizable to older cohorts, in which potentially unique relations between depression and structural changes may be present. For example, developmental studies have reported age-related decreases in GMV and WMV, particularly between middle and late adulthood, and found links to cumulative effects of stress and glucocorticoids44. Consequently, future research on structural alterations between individuals with StD and NCs is needed, particularly in non-clinical samples over the age of 50 years.

In conclusion, this study explored structural alterations in both GMV and WMV in a non-clinical sample of young women with StD using VBM. The findings show that altered GMV and WMV in the amygdala, IPL, PCC, and PreC may be structural markers of young adults with StD. Thus, the current study demonstrates a unique structural abnormality in young women with StD, which is distributed across distinct gray and white matter areas of the brain.

Methods

Participants

A total of 72 female undergraduate students were recruited from Southwest University, Chongqing, China. The specific steps in selecting the participants are described here. First, participants completed the BDI45 during the mass pre-testing. Participants who scored 14 and above or 6 and below were invited to participate in a second session approximately 1 week later. In this session, potential participants completed an in-person screening session, which included BDI and administration of the Structured Clinical Interview for DSM-IV-TR Axis I Disorders (SCID)46. The inclusion criteria included the following: (1) didn't fulfil the SCID diagnostic criteria for MDD; (2) had no current bipolar disorder, panic disorder or schizophrenia; (3) had no concurrent psychotherapy and psychotropic medication; and (4) not pregnancy and currently not in their menstrual period.

Finally, 46 subjects with a BDI score of 14 and above at second points in time were assigned to the StD group, whereas 33 subjects with a BDI score of 6 and below at second points in time were assigned to non-depressed controls (NCs). After checking structural imaging data, four participants in the StD group and three participants in the NC group were excluded from the analyses due to movement artifacts or incomplete brain scans. Therefore, the present study involved 42 subjects in the StD group and 30 subjects in the NC group in all analyses. All participants were right-handed and had no life history of neurological injury or disease. The study was approved by the SWU Brain Imaging Center Institutional Review Board.

In accordance with the Declaration of Helsinki (2008), written informed consent was obtained prior to engagement in the research tasks. First, all participants completed Combined Raven's Test (CRT)47 and other measures not report here. Then, participants underwent an MRI scan wherein they were instructed to keep their heads still and to remain awake. The scan was comprised of anatomical imaging, resting state imaging and other task related functional imaging, only anatomical imaging data was used in this study. After completing all study protocols, participants were thanked for their time and received financial compensation.

Measures

Assessment of general intelligence

To control for individual differences in intellectual ability in analyses of regional GMV and WMV difference between StD and NCs48, participants completed the CRT, a recognized intelligence test with a high degree of reliability and validity. The CRT, which includes the Raven's standard progressive matrices (C, D, E sets) and Raven's colored progressive matrices (A, B, AB sets), consists of 72 items revised for use in Chinese samples by Sun et al.47. Number of correct answers given in 40 minutes was used as a psychometric index of individual intelligence in line with standard practice49.

Beck depression inventory-II

The BDI is a 21 item self-report questionnaire measuring severity of depressive symptoms during the past week on four-point scale (0–3), with higher scores indicating more severe symptomatology45. The BDI is considered to be a valid and reliable measure assessing the severity of depressive symptom in clinical and non-clinical samples50.

Image acquisition

MR images were acquired on a 3.0-T Siemens Trio MRI scanner with an 8-channel head coil (Siemens Medical, Erlangen, Germany). High-resolution T1-weighted anatomical images were acquired using a magnetization-prepared rapid gradient echo (MPRAGE) sequence (TR/TE/TI = 1900 ms/2.52 ms/900 ms; Flip angle = 9°; Slices = 176; Slice thickness = 1.0 mm; Resolution matrix = 256 × 256; Voxel size = 1 × 1 × 1 mm3).

Image processing

Images were processed using the SPM8 (Wellcome Department of Cognitive Neurology, London, UK) implemented in Matlab 7.8 (MathWorks Inc., Natick, MA, USA). Each MR image was first displayed in SPM8 to screen for artifacts or gross anatomical abnormalities. For better registration, the re-orientation of images was manually set to the anterior commissure. The T1 weighted anatomical images underwent an initial segmentation process in SPM8 using new segmentation which simultaneously estimated the transformation parameters for warping grey matter (GM) and white matter (WM) tissue probability maps (TPMs) onto the images. After affine registration, the GM and WM segments of all 72 participants in both groups were processed to create study-specific templates using DARTEL algorithm51. The native space GM and WM segments, DARTEL template, and flow fields from the template creation were normalized to Montreal Neurological Institute (MNI) standard space and resampled to an isotropic resolution of 1.5 mm. To preserve the original GM and WM volumes, the image intensity of each voxel was modulated by Jacobian determinants. Finally, normalized, modulated and resampled images (GM and WM images) were smoothed with a 10-mm full-width at half-maximum (FWHM) Gaussian kernel to increase signal to noise ratio.

Statistical analysis

Statistical analyses of GMV and WMV data were performed using SPM8. In the whole-brain analyses, we performed a two sample t-test in the SPM8 to determine whether there were any significant regional GMV or WMV differences between StD and NCs. To control for possible confounding variables, age, CRT and global volumes of GM or WM were entered as covariates. To avoid edge effects around the borders between GM and WM, an absolute threshold masking of 0.2 was used; that is, voxels with GM or WM values lower than 0.2 were excluded from analyses52,53.

For the a priori regions of interest (mPFC, ACC, amygdala, and hippocampus), statistical significance level was set at P < 0.05 with small volume correction (SVC)54 for multiple comparisons in the regions of interests (ROI). The amygdala, ACC and hippocampus masks were based on WFU PickAtlas55. For mPFC is not clearly defined anatomically in WFU PickAtlas, we utilized bilateral superior medial frontal gyrus based on the anatomic labels specified in the WFU PickAtlas to comprise a mPFC ROI mask following previous study56.

For regions not specified a priori, a threshold of P < 0.05 corrected for the whole-brain volume at a cluster level using non-stationary correction57 with an underlying voxel level of p < 0.0025 were used as suggested by previous study58.

Author Contributions

H.J.L. collected, analyzed, interpreted the data, and wrote the paper. D.T.W., Q.L.C. and J.Z.S helped to collected, analyzed, interpreted the data. J.Q. and Q.L.Z. interpreted the data, and help to wrote the paper.

Additional Information

How to cite this article: Li, H. et al. Brain structural alterations associated with young women with subthreshold depression. Sci. Rep. 5, 9707; DOI:10.1038/srep09707 (2015).

Acknowledgments

We thank Jie Meng, Wei Liu, Lei Hao, Xue Tian, Jun-Yi Yang and other members in our team for the assistance in subjects screening and data collection. This work was supported by the National Natural Science Foundation of China (31170983; 31271087; 31470981), China and Chongqing Postdoctoral Science Foundation funded project (2012M510098; XM2012006), the Key Discipline Fund of National 211 Project (NSKD11007), the Program for New Century Excellent Talents in University (2011) by the Ministry of Education, and Program for Talents in colleges and universities in Chongqing (2011).

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