Elsevier

Journal of Psychiatric Research

Volume 70, November 2015, Pages 121-129
Journal of Psychiatric Research

Amygdala network dysfunction in late-life depression phenotypes: Relationships with symptom dimensions

https://doi.org/10.1016/j.jpsychires.2015.09.002Get rights and content

Highlights

  • Diminished amygdala FC with executive control and increased FC in posterior default mode (pDMN) regions is seen in LLD.

  • Dampening in the enhanced amygdala-pDMN FC is seen in LLD with MCI (LLD-MCI) patients.

  • Globally decreased amygdala FC with emotional processing regions is seen in LLD-MCI.

  • Amygdala FC alterations that explain symptom variations were found in LLD groups.

  • Distinct amygdala FC may distinguish different LLD phenotypes and symptom dimensions.

Abstract

The amygdala, a crucial hub of the emotional processing neural system, has been implicated in late-life depression (LLD) pathophysiology. However, the overlapping and diverging amygdala network function abnormalities underlying two clinical LLD phenotypes (i.e., LLD alone and LLD with mild cognitive impairment [LLD-MCI]) are unknown. The aim of this study is to investigate the amygdala functional connectivity (FC) differences between LLD alone, LLD-MCI and healthy controls, and to examine the relationships between amygdala network dysfunction and symptom dimensions. A resting-state functional connectivity magnetic resonance imaging study was conducted to probe amygdala FC in a total of 63 elderly participants (LLD [n = 22], LLD-MCI [n = 15], and age- and gender-equated healthy older adults [n = 26]) using a seed-based voxelwise R-fcMRI approach. LLD-only adults showed increased FC in the posterior default mode and vermis, and diminished connections in the fronto-parietal, salience and temporal areas, relative to controls. The LLD-MCI participants showed diminished FC in the default mode, cognitive control, salience and visual regions, whereas increased FC was limited to lateral parietal cortex compared with healthy controls. The LLD-MCI group also showed diminished FC in the occipital and posterior default mode areas, relative to the LLD-only group. Distinct amygdala FC abnormalities that explain depressive and anxiety symptom severity, and executive functioning were identified. The amygdala FC impairments may distinguish LLD phenotypes. These functional network abnormalities may also explain the heterogeneity seen in the LLD clinical presentations.

Introduction

Late-life major depression (LLD) presents with considerable cognitive symptom heterogeneity; while some have intact cognitive functioning, others with greater illness severity demonstrate impairments in memory, information processing speed and executive function performances (Butters et al., 2004). In addition, depression often coexists with mild cognitive impairment (MCI) in the elderly (Bhalla et al., 2009). The complex bidirectional and reciprocal relationships between depressive and cognitive symptomatology in late life suggests that distinct, as well as overlapping, neurophysiologic features might underlie two common phenotypic presentations of LLD (i.e., LLD with and without comorbid MCI).

Despite age-related decline in many cognitive domains, emotional processing function is well preserved and sometimes enhanced in healthy older adults (Charles, 2010). The improvements in emotional processing with age are supported by the ‘cognitive control’ hypothesis of healthy aging. This theoretical construct postulates that the positivity effect seen in older adults is a result of executive control brain regions exerting greater regulation on limbic areas that process negative emotional stimuli (Mather, 2012, Mather and Knight, 2005). The amygdala, a medial temporal lobe (MTL) brain region and a crucial hub of the emotional processing neural system, plays a vital role in processing threats and triggering various responses to emotionally valenced stimuli. The amygdala is closely interconnected with important brain regions that subserve multidomain cognitive functions, and is central to diverse cognitive–emotional interactions (Pessoa, 2008). In line with the cognitive control hypothesis, extensive observations of dampened amygdala and posterior cortical regional reactivity, and enhanced frontal activation in response to emotionally laden stimuli, have been reported in older adults compared with their younger counterparts (Gunning-Dixon et al., 2003, St Jacques et al., 2009, Tessitore et al., 2005). Emotional processing dysregulation is considered a core feature of major depression, including LLD. Although accumulating studies implicate the amygdala in LLD pathophysiology (Burke et al., 2011), the amygdala network function abnormalities in LLD were not previously investigated.

Task-based functional magnetic resonance imaging (T-fMRI) studies have provided unique insights into the role of fronto-limbic circuitry underlying emotional and cognitive changes associated with LLD (Aizenstein et al., 2005, Aizenstein et al., 2009, Wang et al., 2008, Wang et al., 2012). Using various emotional and cognitive paradigms, prior studies have reported frontal hypoactivity (Aizenstein et al., 2005, Aizenstein et al., 2009) and increased limbic activation in some (Aizenstein et al., 2005) but not all (Naismith et al., 2010) LLD studies. Although T-fMRI studies provide unique information as to how specific brain regions respond during a particular task, they offer little information into how functionally related structures serve as interconnected nodes of a dynamic brain network. Moreover, this imaging modality is prone to task-related motion artifacts and false-negative findings because of compromised performance during demanding stimuli in older depressed adults with varying cognitive function levels.

Resting-state functional connectivity MRI (R-fcMRI) is a task-free imaging method increasingly utilized to probe brain network dysfunction in neuropsychiatric disorders, including LLD (Li et al., 2014, Tadayonnejad and Ajilore, 2014). The R-fcMRI technique measures temporal interregional correlations of spontaneous low-frequency blood oxygenation level-dependent fluctuations between functionally connected but spatially separated brain regions at rest (Biswal et al., 1995). Abnormal functional connectivity (FC) in the default mode, executive control and reward processing brain networks has been previously reported in LLD compared with normal older individuals (Alexopoulos et al., 2012, Alexopoulos et al., 2013, Wu et al., 2011). Recently, more pronounced FC vulnerabilities in the hippocampal memory networks were demonstrated in patients with LLD and MCI comorbidity compared with older adults with either disorders occurring alone (Xie et al., 2013). A lone study focusing on the amygdala also examined main and interactive relationships between depressive symptoms and memory performance in elderly subjects (Xie et al., 2012a); however, amygdala FC abnormalities in different phenotypic presentations of LLD have not yet been examined.

This study's primary objective was to investigate the amygdala FC in individuals with LLD alone, LLD comorbid with MCI and age- and gender-equated healthy elderly. Based on the evidence from previously published functional activation and R-fcMRI aging studies using healthy and LLD participants, we hypothesized that the LLD-only group would show diminished amygdala FC with executive control nodes and increased FC with posterior default mode network regions. We also hypothesized that the comorbid group would show globally diminished amygdala FC in similar brain regions that were associated with poorer cognitive performance in older adults, as evidenced in a previous study. Secondarily, we examined the amygdala FC differences that explained the variance in depressive symptom severity and multidomain cognitive performance within each group.

Section snippets

Participants

A total of 63 participants aged 60 or older participated in this cross-sectional study. The participant groups included cognitive normal healthy controls (CN: n = 26), late-life depression (LLD: n = 22), and LLD with mild cognitive impairment (LLD-MCI: n = 15). All patients diagnosed as having LLD and/or MCI were recruited from the Medical College of Wisconsin (MCW) Geriatric Psychiatry and Memory Disorders Clinics. Control subjects were recruited from the community through local

Demographic and neuropsychiatric characteristics

No significant (p > 0.05) differences were found in age, gender, and education among the three groups. Age of depression onset did not significantly differ between the two LLD groups (p = 0.225). The neuropsychiatric characteristics are summarized in Table 1.

Voxelwise whole-brain amygdala functional connectivity

  • (1)

    Within group AFC pattern: The within group AFC network patterns for CN, LLD, and LLD-MCI groups are shown in Fig. S1. The positive AFC was found in the middle temporal gyrus (MTG), middle and inferior occipital gyrus (MOG and IOG), fusiform

Discussion

The primary finding was that diminished amygdala functional connectivity with the fronto-parietal regions and increased connections in the posterior default mode areas and cerebellar vermis distinguished cognitively intact LLD patients from normal older individuals. The LLD-MCI subjects showed dampening in the enhanced amygdala-posterior DMN connectivity. Furthermore, globally decreased functional connections with other regions subserving emotional processing and cognitive functions were seen

Conclusion

We demonstrate that distinct and overlapping abnormalities exist in the amygdala network function in LLD patients with and without MCI. The amygdala network function abnormalities might differentially contribute to the emergence and persistence of mood, anxiety, neurovegetative and cognitive symptoms in LLD phenotypes. Future research using comprehensive neuropsychological and behavioral evaluations coupled with multimodal neuroimaging approaches is essential to determine amygdala network

Conflict of interest disclosures

Dr. W. Li, Mr. Ward, Dr. Xie, and Ms. Jones report no biomedical financial interests or potential conflicts of interest. Within the past five years, Dr. Antuono has served on the speaker bureaus of Novartis and Pfizer. Dr. Antuono reports research support from Myriad, Glaxo Smith Kline, Pfizer, ICON, Premier Rach, Octa Pharma, Eisai, Bristol Myers Squibb, Janssen, Baxter and Elan; and Dr. Shi-Jiang Li reports research grant funding from the National Institute on Aging and Pfizer; in addition,

Funding/support

This work was supported by Alzheimer's Association New Investigator Research Grant NIRG-11-204070 (JSG), Advancing Healthier Wisconsin Endowment at the Medical College of Wisconsin (JSG), the Brain and Behavior Research Foundation (formerly NARSAD) Young Investigator program (JSG), Extendicare Foundation (JSG), R01 AD20279 (SJL) from the National Institute on Aging, and 8UL1TR000055 from the Clinical and Translational Science Award program of the National Center for Advancing Translational

Author contributions

Conception and design: Li W, Antuono PG, Li SJ, Goveas JS.

Analysis and interpretation of data: Li W, Ward BD, Xie C, Jones JL, Antuono PG, Li SJ, Goveas JS.

Drafting the article: Li W, Ward BD, Goveas JS.

Revising the article critically for important intellectual content: Li W, Ward BD, Xie C, Jones JL.

Antuono PG, Li SJ, Goveas JS.

Final approval: Li W, Ward BD, Xie C, Jones JL, Antuono PG, Li SJ, Goveas JS.

Acknowledgment

The authors thank Ms. Carrie M. O'Connor, M.A., for editorial assistance, Mr. Douglas Ward, M.S., for assistance with statistical analysis, and Ms. Qian Yin, Ms. Judi Zaferos-Pylant and Mr. Yu Liu, M.S., for MRI technical support.

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