Brain Activation during Memory Retrieval is Associated with Depression Severity in Women
Introduction
Major depressive disorder (MDD) is a debilitating disorder, which interferes with daily functioning, and occurs at a markedly higher rate in women relative to men. Without treatment, MDD may become a chronic burden associated with an increasing disability over time, particularly in women (Kessler, 2003; Stegenga et al., 2012; Whiteford et al., 2015). According to the Global Burden of Disease report, depression was ranked as the third leading cause of disability by the World Health Organization and was predicted to continue to be a leading cause of burden in 2030 (WHO, 2004). The impact of depression is 50% higher in women than men,15-44 years of age, which contributes to an important source of lost years of healthy life (e.g., lost years of life represents the years of healthy life lost through time spent in states of less than full health). Further, it is the leading cause of disease burden for women in low and middle as well as high income countries (WHO, 2004).
Among the impacts of MDD on daily functioning, cognitive impairments have been reported across several domains, which include attention, working memory, other executive functions, emotional processing, and learning and memory (e.g., verbal memory) (Darcet et al., 2016). Structural and functional brain alterations associated with MDD likely contribute to such cognitive deficits, as well as to other multifaceted impacts of this condition (Belleau et al., 2019). Alterations include reduced brain volume (Bora et al., 2012; Bremner et al., 2000; Han et al., 2016; Roddy et al., 2019) and aberrant functional activation (Castanheira et al., 2019; Fonseka et al., 2018). Frontolimbic regions have frequently been implicated in brain changes associated with MDD (Bora et al., 2013; Jamieson et al., 2019; Pizzagalli, 2011). For instance, increased white matter volume in uncinate fasciculus and decreased gray matter density in ventromedial prefrontal cortex were observed in patients with MDD, the extent of which was correlated with depression scores (Klauser et al., 2015). Importantly, there are mixed findings related to memory impairments associated with depression, suggesting heterogeneity across MDD, with differential impacts being related to depression subtype and severity (Burt et al., 1995; King et al., 2010; Quinn et al., 2012).
While there are a large number of studies assessing and reporting executive functions and associated frontal lobe circuitry deficits in MDD, hippocampal structural and function have been strongly linked to MDD pathology (Roddy et al., 2019). In a study using voxel-based morphometry to investigate gray matter volume, via data collected using magnetic resonance imaging (MRI), patients with recurrent depression exhibited more pronounced reductions in substructure volume in the left CA1 region of the hippocampus relative to healthy controls and those with first-presentation MDD, interpreted as a potential marker of disease progression (Roddy et al., 2019) . There have been a number of studies using functional magnetic resonance imaging (fMRI), which have demonstrated some mixed findings. Patients with MDD demonstrated increased bilateral hippocampus and parahippocampal activation during performance of a process-dissociation task, a task designed to separate contributions of recollection and familiarity to memory performance (Alders et al., 2019; Jacoby, 1991). Hippocampal activation differences also were observed in the absence of group performance differences (patients with MDD versus healthy comparison subjects) on all of the memory domains assessed (e.g., recollection memory, habit memory trials and non-item trials). These findings potentially reflect greater hippocampal recruitment for those in the early course of MDD, relative to those with a prolonged illness and repeated number of depressive episodes (Alders et al., 2019). These findings also are consistent with earlier findings of altered hippocampal activation during a recollection memory performance task in patients with extensive history of major depression (3 or more previously treated depressive episodes) (Milne et al., 2012). Decreased recruitment, however, was reported in the right hippocampus and left parahippocampal gyrus in patients with MDD relative to non-depressed controls. Further, impairments in recollection performance in patients with MDD was associated with diminished hippocampal engagement, suggesting that the hippocampus is particularly vulnerable to the impact of MDD.
Given that difficulties in attention and emotional processing can modulate cognitive domains such as learning and memory and decision-making (Robinson et al., 2017), additional focus on better characterizing the impact of MDD on learning, memory and hippocampal function is warranted. Studies examining memory deficits have shown mixed results, particularly for spatial memory (Quinn et al., 2012). One commonly used tool that has been applied to investigate memory in preclinical animal models are maze type tasks, which require frontally-mediated spatial working memory, and hippocampally-mediated spatial learning and memory to be solved. As such, the Morris water task (MWT) (Morris, 1984), a maze type task, has been used extensively in animal research to investigate spatial memory ability and related hippocampal circuitry. Adapted for use in humans during fMRI, the virtual MWT performed in conjunction with fMRI has been applied to study healthy adults (Sneider et al., 2011) and adolescents (Sneider et al., 2018), and adults with a history of marijuana use (Sneider et al., 2013), revealing evidence that the task elicits hippocampal and prefrontal brain activation. While MWT has been used to document learning and memory associated with MDD in human adults with whole-head magnetoencephalography (MEG) (Cornwell et al., 2010), to date, the MWT combined with fMRI has not been applied to study adults with MDD.
Sex differences in prevalence and severity of depression have been established to be greater in women (Kuehner, 2017; Stegenga et al., 2012), as well as sex differences in performance (Sneider et al., 2015) and hippocampal activation (Sneider et al., 2011) observed during the MWT. Accordingly, the objective of the current study was to use the MWT with fMRI to investigate neurocircuitry engaged during task performance in women across a range of depression severity, assessed via Beck Depression Inventory (BDI) scores. It was predicted that greater depression severity in women would be associated with less MWT-related fMRI activation in hippocampus and frontal lobe regions, brain areas involved in spatial memory and also implicated in pathophysiology of MDD.
Section snippets
Participants
The study sample consisted of 24 women (27.1 ± 7.1 years - 35.1 ± 9.9 years old) on a clinical continuum of depression severity, including individuals with current MDD or other depressive disorders, past (i.e., remitted) MDD, and healthy comparison (HC) participants with no history of mood disorders. Demographic details are provided in Table 1. The clinical research protocol was approved by the Partners Healthcare Institutional Review Board of McLean Hospital. Participants were recruited
Demographic and cognitive measures
There were no significant differences for age, education, WASI vocabulary and matrix reasoning T-Scores, two sub-test IQ or WASI block design (all p > 0.1; see Table 1). There was a significant group difference for BDI total score (F(2,19) = 51.30, p = .000, ES f = 2.29), with Bonferroni corrected post-hoc tests indicating significant group differences between current MDD > HC and current MDD > past MDD (both, p = .000), (past MDD did not differ significantly from HC). There were no significant
Discussion
This study demonstrates that during performance of a translational virtual MWT, hippocampal, frontal, and other spatial memory processing regions show significant activation during memory retrieval (relative to a motor control condition) in a sample of adult women. Behavioral performance was influenced by depression severity, however, data confirm that participants successfully learned the task during offline and during performance in the scanner, reflected by decreased latency to reach the
Funding sources
Funding for this study was provided by NARSAD Young Investigator Grant # 22323 (Brain & Behavior Research Foundation) (Sneider) and K24 AA025977 (Silveri).
This work was conducted with support from Harvard Catalyst | The Harvard Clinical and Translational Science Center (National Center for Advancing Translational Sciences, National Institutes of Health Award UL 1TR002541) and financial contributions from Harvard University and its affiliated academic healthcare centers. The content is solely
Authorship contribution statement
JTS and MMS were involved in all aspects of the research, including conception and design of the work, analysis, interpretation and manuscript preparation. DH was involved in MWT programming and data processing. JC-G was involved in fMRI analyses, interpretation, and manuscript preparation. EO, AS and ES contributed to data interpretation, study conclusions and manuscript review. LDN provided oversight of fMRI processing and analysis. All authors read and approved the final manuscript.
Data availability statement
Participants were assured raw data would remain confidential and would not be shared.
The data that have been used are confidential.
Declaration of Competing Interest
None
Acknowledgments
The authors would like to thank Carolyn Caine and Maya Rieselbach for assistance with recruitment, study co-ordination and data collection.
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