Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: J Am Geriatr Soc. 2018 Apr;66(Suppl 1):S17–S23. doi: 10.1111/jgs.15353

State of the Science of Neural Systems in Late-Life Depression: Impact on Clinical Presentation and Treatment Outcome

Kevin J Manning 1, David C Steffens 1
PMCID: PMC5905432  NIHMSID: NIHMS946839  PMID: 29659005

Abstract

Major depression in older adults, or late-life depression (LLD), is a common and debilitating psychiatric disorder that increases the risk of morbidity and mortality. Whereas the detrimental consequences associated with LLD highlight the importance of facilitating timely diagnosis and treatment, older adults with LLD are often inadequately or unsuccessfully treated. The latest treatment developments suggest that interventions targeting executive dysfunction and neuroticism, constructs associated with poor response to antidepressants in older adults, are successful in treating depression in LLD. Specific behavioral interventions (computerized cognitive training, mindfulness meditation, and aerobic exercise) appear to improve depressive symptoms and ameliorate executive dysfunction and neuroticism. Yet, we do not fully understand the mechanisms by which these treatments may work. The current paper reviews recent research on neural network changes underlying executive dysfunction and neuroticism in LLD and their association with clinical outcomes (e.g., treatment response, cognitive functioning).

Keywords: neuroticism, executive functioning, geriatric depression, cognitive training, mindfulness

Introduction

Major depression in older adults, or late-life depression (LLD), is a common and debilitating psychiatric disorder. Four percent of older women and three percent of older men have a current diagnosis of LLD1, and LLD increases the risk of dementia2, disability3, and mortality4. The detrimental consequences associated with LLD highlight the importance of facilitating timely diagnosis and adequate treatment. Yet, over 50% of patients fail to respond to initial pharmacological treatment, and remission from depression is achieved in only 1/3 of older patients treated with an antidepressant or cognitive behavioral therapy (CBT)5. Therefore, it is imperative to develop novel treatments for depression that can either augment pharmacotherapy or be used independently in older adults with LLD. Barriers to psychiatric care in older adults also highlight the importance of developing interventions that are accessible to interdisciplinary team-based care providers68.

Depression-related treatment development requires the identification of modifiable constructs relevant to the pathophysiology of LLD. Converging neuropsychological and neuroimaging evidence indicates the cognitive process of executive functioning and the personality trait of neuroticism each individually and independently predispose and perpetuate mood disturbance and cognitive decline in older adults912. Older adults with executive dysfunction and neuroticism are commonly treatment-resistant to standard antidepressants13, 14. Yet, increasing evidence suggests executive dysfunction and constructs associated with neuroticism respond to behavioral interventions in older adults1517. Thus, neuroanatomical substrates of executive dysfunction and neuroticism may be useful treatment targets in LLD. Executive functioning is a term used to refer to processes that regulate higher order cognition, emotional wellbeing, and reward processing18. Executive functions enable individuals to evaluate risks and rewards, engage in decision-making and planning, regulate emotional responding and inhibit inappropriate choices18. Neuroticism is defined as a tendency toward emotional reactivity19. Individuals high in neuroticism are predisposed to experience psychological distress and negative mood states and are described as anxious, apprehensive, and prone to experience worry, sadness, loneliness, and dejection19.

The latest treatment developments suggest that behavioral interventions targeting neuroanatomical substrates of executive dysfunction and neuroticism are successful in ameliorating these behaviors and treating depression in LLD. The purpose of this paper is to review recent research on neural network changes underlying executive dysfunction and neuroticism in LLD and their association with clinical outcomes (e.g., treatment response, cognitive functioning). We begin by initially describing the relevant neural networks in LLD. We then provide an overview of treatments that seek to improve depression by targeting executive dysfunction and neuroticism and associated neurobiological substrates. We focus on the interventions of cognitive training, mindfulness meditation, and aerobic exercise as 1) current evidence indicates these treatments bring about clinical improvement and engender neuroplasticity, or the brain’s ability to change structurally and functionally as a result of external stimulation and 2) cognitive training, mindfulness meditation, and aerobic exercise can all be implemented in an interdisciplinary care setting. Finally, we end with a brief discussion of screening implications within primary care practices as a means to enhance early identification, prevention, and treatment of LLD.

Major Neural Networks Relevant to LLD

Neuroimaging has helped clarify the neuroanatomical substrates associated with LLD. Connectivity analyses from functional magnetic resonance imaging (fMRI) have been especially helpful. Functional connectivity is based on the observation that spontaneous blood oxygen dependent (BOLD) signal fluctuations among interconnected brain regions tend to be temporally correlated. It is thought that functional connectivity during rest (where subjects are instructed to lie still with their eyes closed) or when subjects complete experimental tasks reflects important inter-relationships among brain structures with related functions. Converging evidence has identified three prominent functional networks in geriatric depression and other psychiatric illnesses11, 20, 21. These are a: 1) a Cognitive Control Network (CCN), mediated by connections between the dorsolateral prefrontal cortex (DLPFC), dorsal anterior cingulate, and posterior parietal connections, and involved in complex cognitive processing and emotional regulation; 2) a Default Mode Network (DMN), mediated by medial prefrontal cortex (mPFC)-posterior cingulate connections, and normally inhibited during complex cognitive processing and active during internal mentation, and a 3) Salience Network (SN), with the right anterior insula as the primary hub, that assess the significance of external stimuli and, together with amygdala activity, assigns emotional and motivational value to that stimuli.

Understanding abnormalities within and between functional networks can further elucidate potential treatment targets in LLD. Broadly speaking, prominent symptoms of LLD are associated with decreased activity in the CCN (executive dysfunction) and hyperactivity in the SN and DMN (emotional arousal, rumination, apathy, negativity bias)11, 21. Recently, Karim et al.22 investigated whether antidepressants resulted in functional connectivity changes to CCN, DMN, and SN in 33 adults with LLD. Thirty-nine percent of the sample did not experience depression remission at three months. Compared to non-remitters, those who achieved remission experienced significant changes in the CCN and DMN over the course of treatment. Specifically, remitters experienced increased connectivity between the CCN-posterior cingulate of the DMN and decreased connectivity between the CCN-middle temporal gyrus of the DMN. Group differences in remitters and non-remitters were also observed in the SN and other aspects of the CCN-DMN. Considering that decreased activity in the CCN and over-activity in SN-DMN are associated with executive dysfunction and negative thinking/rumination11, 23, respectively, interventions that enhance the efficiency and processing of the CCN and SN-DMN may be especially useful in the treatment of LLD.

Underlying Network Dysfunction

Executive Dysfunction

Behavioral signs of executive dysfunction are common in LLD. Estimates suggest 30–40% of non-demented older adults with major depression exhibit signs of executive dysfunction on cognitive examination24. Depressed older adults often perform poorly on tests of verbal fluency (participants are required to generate as many words as possible that begin with a certain letter or belong to a category), the Wisconsin Card Sorting Test (a measure of novel problem solving, cognitive flexibility, and working memory), the Tower of London (a test of planning) and the Stroop Color–Word Interference (a test of response inhibition)25. Performance on these tests correlates with structural and functional abnormalities in cognitive control regions, namely the dorsolateral prefrontal cortex (DLPFC), the dorsal and rostral regions of the anterior cingulate, and parietal association regions10, 11.

Weakness in Cognitive Control Network (CCN) regions is associated with poor treatment response in LLD. It is well established that worse performance on behavioral measures requiring response inhibition, sustained attention, and cognitive flexibility, as well as greater subjective complaints of perceived weaknesses in these domains, are predictive of poor antidepressant treatment response in older adults with major depression2628. More recently, functional connectivity analyses have been used to shed light on the neuroanatomical substrates linking behavioral evidence of cognitive control dysfunction to poor treatment responses. For example, Alexopoulos et al. 11 found that 16 older adults with non-psychotic unipolar depression exhibited decreased functional connectivity between the left DLPFC and dorsal anterior cingulate and the left DLPFC and bilateral inferior parietal cortices when compared to non-depressed healthy older adults. Decreased CCN connectivity at baseline also correlated with behavioral measures of executive functioning and distinguished older depressed adults who remitted following 12 weeks of antidepressant treatment from those who did not. Furthermore, compared to remitters, non-remitters demonstrated decreased functional connectivity at baseline between the bilateral DLPFC, dorsal anterior cingulate, and inferior parietal cortices11. Similar findings have been found with CBT as the treatment modality. Gallagher-Thompson et al. 29 found that increased activity in the DLPFC and other CCN regions during an executive functioning test (Wisconsin Card Sorting Test) completed in the scanner predicted a better CBT response in 45 older adults with major depression.

Neuroticism

Elevated neuroticism is common in LLD. Data from two large cohorts, the Neurocognitive Outcomes of Depression in the Elderly30 and the Neurobiology of Late-Life Depression31 studies, indicate high neuroticism self-reported on personality questionnaires is present in about 45% of older adults with LLD. It has long been established that neuroticism increases the vulnerability to develop clinical anxiety and major depressive disorders32, 33. The presence of neuroticism also perpetuates major depression in older adults and is detrimental to the cognitive functioning of this cohort34. While controlling for depression severity, high neuroticism was associated with both poor depression response and global cognitive decline over 10 years in older adults with LLD9. Clinically, neuroticism is measured with questionnaires like the NEO-Personality Inventory19, a measure used to assess the “big five” personality traits (neuroticism, extraversion, openness, conscientiousness, agreeableness). Related proxies of neuroticism include responses on questionnaires measuring stress resilience or rumination and emotional categorization tests, also referred to as a negative self-referential processing task, where individuals read a list of negative and positive words and endorse whether or not those words apply to them35.

Neuroticism is associated with structural and functional abnormalities in brain regions related to emotional processing and emotional regulation. While controlling for depression and anxiety symptoms, Carballedo et al.36 found that high neuroticism in 45 middle aged adults was associated with decreased resting state functional connectivity between the Cognitive Control Network (CCN) and Salience Network (SN), and increased functional connectivity between regions of medial PFC (mPFC). The mPFC is a prominent hub of the Default Mode Network (DMN) critical to social cognition, self-reference, and emotional evaluation12. Increased resting state functional connectivity in the mPFC and amygdala is also correlated with neuroticism in LLD12. Evidence suggests similar networks are engaged when functional connectivity analyses are correlated with proxies of neuroticism like negative self-referential processing. That is, a larger endorsement of negative words during negative self-referential processing is associated with increased connectivity between the CCN (DLPFC) and mPFC in depressed younger adults37 and non-depressed adults high in neuroticism38, implying the need for the CCN to “over-regulate” or compensate for hyperactive “bottom-up” negative arousal associated with self-criticism. Treatments that strengthen “top-down” CCN functioning and alleviate “bottom-up” arousal may be especially useful in treating clinical symptoms of LLD, considering older adults with LLD have greater CCN dysfunction compared to both age-matched controls and younger depressed subjects39.

Current Perspectives on Select Behavioral Interventions in LLD

We review here the recent literature on the interventions of computerized cognitive training, mindfulness meditation training, and aerobic exercise as they relate to the treatment of LLD. Wherever possible, we emphasize research showing that these treatments are effective in hard to treat LLD patients who exhibit executive dysfunction or elevated neuroticism. Two converging lines of research support the premise that these treatments result in clinical change in LLD by targeting the Cognitive Control Network (CCN), Default Mode Network (DMN), and Salience Network (SN). First, clinical studies suggest cognitive training, mindfulness meditation, and aerobic exercise improve depression symptoms and executive dysfunction or neuroticism in LLD 17, 40, 41. A second line of research indicates these treatments in non-clinical samples (e.g., healthy middle aged adults, convenience college samples) actually change brain functioning4244.

Computerized Cognitive Training

Computerized cognitive training (CCT) is a behavioral intervention that uses repetitive learning to improve cognition or socio-emotional functioning and presumably engender neuroplasticity45. The goal of CCT is to enhance cognitive or socio-emotional learning and reorganize underlying brain systems, thereby affecting clinical change46. CCT is an established method to improve cognitive functioning in older healthy adults47, 48 and more recent studies have investigated the underpinnings of this treatment. Cao and colleagues49, 50 followed older adults who underwent 24 hours of CCT targeting memory, problem-solving, and visuospatial abilities, and who also completed neuroimaging at baseline and one year later. Compared to a control group, CCT increased the integrity of white matter in brain regions associated with the CCN, increased resting state functional connectivity within the CCN, and decreased resting state functional connectivity between the CCN and DMN. Moreover, increased connectivity within the CCN correlated with improved cognitive functioning. Elsewhere, in a sample of 36 healthy younger adults who underwent two MRIs one week apart, five hours of CCT targeting executive functioning was associated with reduced amygdala activity during the presentation of negative pictures51. Exploratory evidence from this study further indicated that CCT improved resting state connectivity between the amygdala (the hub of the SN) and inferior frontal gyrus (part of the CCN).

Early evidence is promising in linking (non-computerized) cognitive training to structural brain changes. Preliminary evidence in 11 older adults with mild cognitive impairment (MCI) also suggested that (non-computerized) memory training showed a trend towards increased gray matter volume in the mPFC over three months, whereas MCI participants who underwent yoga training did not experience any change in volume over that same time frame52. Elsewhere, changes in white matter integrity measured with diffusion tensor imaging were reported between older healthy adults who underwent 8 weeks of non-computerized memory training and a control group53. Integrity of the uncinate fasciculus, a white matter pathway connecting the prefrontal cortex with limbic regions, decreased in the control group and slightly increased in the treatment group53. Notably, older adults with LLD exhibit decreased structural integrity of the uncinate fasciculus compared to non-depressed age-matched peers, and decreased integrity is correlated with executive dysfunction and depression symptoms54. Together, this evidence suggests CCT in healthy adults without psychiatric illness is associated with functional brain changes to the CCN, DMN, and SN, and structural changes to brain regions correlated with self-referential processing and emotion regulation

Executive dysfunction and depression symptoms improve following CCT in LLD. Morimoto et al.40 developed a CCT program designed to target the executive functions of response inhibition, cognitive flexibility, and sustained attention. The authors tested the intervention in older adults with LLD who had failed at least one trial of antidepressant. Findings revealed that 30 CCT hours completed over one month resulted in a greater decrease in depression compared to treatment with escitalopram over three months. Treatment with CCT, but not escitalopram, also improved cognitive flexibility and results indicated worse cognitive flexibility at baseline was associated with larger improvements in depression in those who received CCT15. Elsewhere, Anguera et al.16 found that both CCT targeting executive functioning and problem-solving therapy improved depression in LLD, yet only CCT improved performance on objective measures of executive functioning. Notably, Anguera and colleagues also found that CCT, but not psychotherapy, improved negative self-referential processing in LLD. Patients who underwent CCT endorsed less negative words as describing themselves post-treatment when compared to patients who underwent problem-solving therapy. Thus, while yet untested, it is plausible that CCT may improve neuroticism in older adults, consistent with evidence that CCT targeting executive functioning decreases rumination55 and increases self-reported stress-related resilience56 in samples of college students.

Mindfulness Meditation Training

Mindfulness meditation training (MMT) involves exercising focused attention and practicing emotional regulation through nonjudgmental awareness. Nonjudgmental awareness involves the cognitive reappraisal of emotion-laden thoughts and -perspective taking. The MMT trainee aims to view wandering thoughts in a non-evaluative manner; that is, as simply thoughts, and not inherent to any sense of self. It is increasingly apparent that MMT activates the CCN and DMN. Creswell and colleagues44 conducted pre- and post-intervention resting state functional connectivity analyses on 35 well-educated middle aged adults who were randomly assigned to either to three days of MMT or relaxation activities (e.g., walking, stretching). Participants reported modest elevations in work-related stress but were otherwise apparently free of cognitive impairment and psychiatric distress. Compared to relaxation activities, MMT increased resting state connectivity between the CCN (DLPFC) and DMN (PCC), neural system changes commonly associated with increases in sustained attention and emotional regulation. Elsewhere, using a sample of 15 cognitively normal and psychiatrically healthy middle aged adults, Zeidan et al.57 provided evidence that four 20 minute sessions of MMT resulted in decreased anxiety symptoms and greater activation in DMN and SN regions, namely the mPFC, anterior cingulate, and anterior insula. These findings are consistent with a recent meta-analysis of 300 meditation practitioners pointing to an association between MMT and structural brain regions in regions of the prefrontal cortex, insula, and mPFC58.

MMT improves cognitive dysfunction and psychopathology in older adults. Lenze and colleagues17,48 have recently used MMT in older adults with memory complaints. The authors initially demonstrated the treatment efficacy of MMT in 34 older adults, 73% of whom met criteria for a diagnosis of generalized anxiety disorder or a depressive disorder (i.e., both LLD and minor depressive symptoms)17. MMT resulted in six-month improvements in worry severity and executive functioning and memory. In a recent randomized controlled trial of 103 older adults with various psychopathologies, including LLD, MMT compared to a health-education control condition resulted in greater improvement in memory and scores on measures of worry and depression59. Further, in a study of 138 adults who previously met criteria for major depression and had an average age of 50 years, eight weekly sessions of MMT (with encouragement to practice mindfulness meditation daily at home) improved NEO-PI-R neuroticism levels at 15 months60; moreover, the association between MMT and neuroticism remained significant when accounting for change in depression severity and antidepressant usage.

Aerobic Exercise

It is established that aerobic exercise has effects on overall brain health61, 62. It is also becoming increasingly clear that exercise may alleviate depressive symptoms in LLD. Using exercise as a treatment for depression is a natural extension of the seminal “vascular depression hypothesis,” whereby cerebrovascular disease is understood to predispose and perpetuate depression and executive dysfunction in older adults63, 64, as well as result in decreased physical mobility65. Thus, aerobic exercise, by modifying vascular risk factors and enacting neuroplasticity, may prevent or even ameliorate cerebrovascular disease and associated decreased blood flow, and subsequently enhance mood and improve cognitive functioning.

Exercise in older adults improves brain functioning in regions involved in executive functioning and emotional arousal. Compared to a wait-list control group (n=12), older non-depressed adults (n=12) who completed a six week daily 30 minute session of physical exercise using a Nintendo Wi (consisting of aerobic, balance training, weight lifting, and yoga) experienced a significant increase in gray matter volume in the DLPFC and posterior cingulate (PCC)/precuneus cortex, as well as increased functional connectivity between the striatum and regions involved in the CCN and DMN66. Elsewhere, preliminary findings from a small study of eight psychiatric healthy and eight depressed middle aged adults who underwent an eight week aerobic exercise intervention revealed a significant decrease in depression in the patient group and decreased activity in the posterior insula and mPFC67.

Aerobic exercise is effective in reducing mild depressive symptoms in older adults. A meta-analysis of 41 randomized controlled trials of aerobic and nonaerobic exercise interventions in adults aged 60 or older found that both aerobic and non-aerobic exercise were associated with significantly lower depression severity and this effect was most pronounced in studies requiring a diagnosis of major depression41. Aerobic exercise was also as effective as antidepressant treatment in reducing depression and improving cardiovascular risk factors in adults (average age 50) with mild major depressive disorder68. Twelve weeks of aerobic exercise was likewise judged to be as equally effective compared to psychotherapy in reducing depression symptoms in LLD69. Moreover, compared to psychotherapy, aerobic exercise led to improved physical fitness and enhanced quality of life reporting.

Conclusions and Recommendations

Increasing evidence suggests behavioral interventions can enact clinical change in LLD by targeting the Cognitive Control Network (CCN), Default Mode Network (DMN), and Salience Network (SN). Computerized cognitive training, mindfulness meditation, and aerobic exercise not only improve depression symptoms, but also appear to ameliorate executive dysfunction and neuroticism, constructs associated with poor response to antidepressants in older adults. Moreover, evidence from non-clinical samples suggest these treatments change underlying brain functioning. Additional research is needed, however, to bridge the gap between clinical studies, consisting of largely behavioral outcomes, and imaging studies with healthy samples. Future studies with large clinical samples are needed to demonstrate that post-treatment symptom improvement in LLD is directly related to changes in the CCN, DMN, and SN. Positive findings of mediation between treatment (e.g., computerized cognitive training), target (e.g., increased CCN connectivity), and symptoms (e.g., reduction in depression) would strongly support intervention use in LLD. However, consistent with the recent NIMH clinical trial funding initiative (https://www.nimh.nih.gov/funding/opportunities-announcements/clinical-trials-foas/index.shtml), failure to establish mediation would also be a valuable finding and lead to further scientific exploration. For example, the identification of new treatment targets would be necessary should cognitive training change clinical symptoms, but not result in (currently hypothetical) changes to functional connectivity. Alternatively, should functional connectivity changes occur in the absence of clinical improvement, modifications to treatment duration and intensity might be required.

While this research progresses, we believe the current body of evidence can be applied toward two clinical recommendations. First, brief assessments of neuroticism, depression, and executive functioning could be routinely provided to older patients in the waiting rooms of primary care offices or administered by nursing staff as part of a clinical encounter. In the presence of LLD, elevations in neuroticism and executive dysfunction would help alert clinicians to older adults at risk for poor antidepressant response (and potential cognitive decline). Second, clinicians treating depressed older adults may wish to consider recommending cognitive training, mindfulness meditation, or aerobic exercise (or a combination of all three; see 70 for an example of combination treatment) as an easy-to-implement augmentation to standard pharmacotherapy treatment.

In summary, understanding abnormalities within and between the cognitive control, default mode, and salience network has helped elucidate the neuroanatomical substrates of executive dysfunction and neuroticism in LLD and the association between these constructs and treatment response. Ongoing research using functional connectivity holds promise: 1) in unlocking the pathophysiology of depression, 2) identifying neural patterns that might successfully predict treatment response and illness course in LLD, and 3) help inform individualized decisions surrounding beneficial treatments. While there is much progress to be made, this research provides an exciting opportunity for interdisciplinary collaboration between clinicians and neuroscientists involved in geriatric mental health.

Table 1.

Recommendations for Translating Current Neuroscience of Late-Life Depression Into Clinical Practice.

Recommendation
Define Neural Circuits Associated with Interventions and Treatment Response. Consistent with the current NIMH Strategic Priority 1.1 and clinical trial funding initiative, we must improve understanding of the function of the brain in both health and neuropsychiatric illness in order to develop effective treatments.
Use Established Assessments in Clinical Practice. Brief assessments of neuroticism, depression, and executive functioning are proven to be associated with poor outcomes in older adults and should be routinely provided to older adults in order to assess for risk of depression, poor depression treatment response, and cognitive decline.
Recommend Additional Interventions. Stimulation and stress relief in the form of cognitive training, aerobic exercise, and mindfulness meditation are easy-to-implement augmentations to standard pharmacotherapy that can enhance clinical improvement.

Acknowledgments

Sponsor’s Role: The National Institute of Health or any sponsors of the studies mentioned here had any role in the preparation, review, or approval of the manuscript or the decision to submit the manuscript for publication.

Footnotes

Conflicts of Interest: None.

Author Contributions: Manning, Steffens: Editorial concept and design, preparation of manuscript.

References

  • 1.Aziz R, Steffens DC. What are the causes of late-life depression? The Psychiatric clinics of North America. 2013;36:497–516. doi: 10.1016/j.psc.2013.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Diniz BS, Butters MA, Albert SM, Dew MA, Reynolds CF., 3rd Late-life depression and risk of vascular dementia and Alzheimer's disease: systematic review and meta-analysis of community-based cohort studies. The British journal of psychiatry : the journal of mental science. 2013;202:329–335. doi: 10.1192/bjp.bp.112.118307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Hybels CF, Pieper CF, Payne ME, Steffens DC. Late-life Depression Modifies the Association Between Cerebral White Matter Hyperintensities and Functional Decline Among Older Adults. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2016;24:42–49. doi: 10.1016/j.jagp.2015.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Schulz R, Beach SR, Ives DG, Martire LM, Ariyo AA, Kop WJ. Association between depression and mortality in older adults: the Cardiovascular Health Study. Arch Intern Med. 2000;160:1761–1768. doi: 10.1001/archinte.160.12.1761. [DOI] [PubMed] [Google Scholar]
  • 5.Kok RM, Reynolds CF., 3rd Management of Depression in Older Adults: A Review. JAMA. 2017;317:2114–2122. doi: 10.1001/jama.2017.5706. [DOI] [PubMed] [Google Scholar]
  • 6.Byers AL, Arean PA, Yaffe K. Low use of mental health services among older Americans with mood and anxiety disorders. Psychiatric services. 2012;63:66–72. doi: 10.1176/appi.ps.201100121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Sirey JA, Greenfield A, Weinberger MI, Bruce ML. Medication beliefs and self-reported adherence among community-dwelling older adults. Clin Ther. 2013;35:153–160. doi: 10.1016/j.clinthera.2013.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Jimenez DE, Bartels SJ, Cardenas V, Alegria M. Stigmatizing attitudes toward mental illness among racial/ethnic older adults in primary care. International journal of geriatric psychiatry. 2013;28:1061–1068. doi: 10.1002/gps.3928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Manning KJ, Chan G, Steffens DC. Neuroticism Traits Selectively Impact Long Term Illness Course and Cognitive Decline in Late-Life Depression. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2017;25:220–229. doi: 10.1016/j.jagp.2016.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Alexopoulos GS, Manning KJ, Kanellopoulos D, et al. Cognitive control, reward related decision making and response of late-life depression to an antidepressant. Psychological medicine. 2015;14:3111–3120. doi: 10.1017/S0033291715001075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Alexopoulos GS, Hoptman MJ, Kanellopoulos D, Murphy CF, Lim KO, Gunning FM. Functional connectivity in the cognitive control network and the default mode network in late-life depression. Journal of affective disorders. 2012;139:56–65. doi: 10.1016/j.jad.2011.12.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Steffens DC, Wang L, Manning KJ, Pearlson GD. Negative Affectivity, Aging, and Depression: Results From the Neurobiology of Late-Life Depression (NBOLD) Study. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2017 doi: 10.1016/j.jagp.2017.03.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Morimoto S, Kanellopoulos D, Alexopoulos GS. Cognitive impairment in depressed older adults: Implications for prognosis and treatment. Psychiatric Annals. 2014;44:138–142. doi: 10.3928/00485713-20140306-05. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Steffens DC, Manning KJ, Wu R, Grady JJ. Presence of neuroticism and antidepressant remission rates in late-life depression: results from the Neurobiology of Late-life Depression (NBOLD) study. International psychogeriatrics / IPA. doi: 10.1017/S1041610217002551. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Morimoto SS, Gunning FM, Wexler BE, et al. Executive Dysfunction Predicts Treatment Response to Neuroplasticity-Based Computerized Cognitive Remediation (nCCR-GD) in Elderly Patients with Major Depression. Am J Geriatr Psychiatry. 2016;24:816–820. doi: 10.1016/j.jagp.2016.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Anguera JA, Gunning FM, Arean PA. Improving late life depression and cognitive control through the use of therapeutic video game technology: A proof-of-concept randomized trial. Depress Anxiety. 2017 doi: 10.1002/da.22588. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Lenze EJ, Hickman S, Hershey T, et al. Mindfulness-based stress reduction for older adults with worry symptoms and co-occurring cognitive dysfunction. International journal of geriatric psychiatry. 2014;29:991–1000. doi: 10.1002/gps.4086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Manning KJ, Alexopoulos GS, McGovern AR, et al. Executive functioning in late-life depression. Psychiatric Annals. 2014;44:143–146. doi: 10.3928/00485713-20140306-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Costa PT, McCrae RR. NEO PI-R professional manual. Odessa Florida: Psychological Assessment Resources; 1992. [Google Scholar]
  • 20.Mulders PC, van Eijndhoven PF, Schene AH, Beckmann CF, Tendolkar I. Resting-state functional connectivity in major depressive disorder: A review. Neuroscience and biobehavioral reviews. 2015;56:330–344. doi: 10.1016/j.neubiorev.2015.07.014. [DOI] [PubMed] [Google Scholar]
  • 21.Yuen GS, Gunning-Dixon FM, Hoptman MJ, et al. The salience network in the apathy of late-life depression. International journal of geriatric psychiatry. 2014;29:1116–1124. doi: 10.1002/gps.4171. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Karim HT, Andreescu C, Tudorascu D, et al. Intrinsic functional connectivity in late-life depression: trajectories over the course of pharmacotherapy in remitters and non-remitters. Molecular psychiatry. 2017;22:450–457. doi: 10.1038/mp.2016.55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Andreescu C, Wu M, Butters MA, Figurski J, Reynolds CF, 3rd, Aizenstein HJ. The default mode network in late-life anxious depression. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2011;19:980–983. doi: 10.1097/JGP.0b013e318227f4f9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Lockwood KA, Alexopoulos GS, van Gorp WG. Executive dysfunction in geriatric depression. The American journal of psychiatry. 2002;159:1119–1126. doi: 10.1176/appi.ajp.159.7.1119. [DOI] [PubMed] [Google Scholar]
  • 25.Lim J, Oh IK, Han C, et al. Sensitivity of cognitive tests in four cognitive domains in discriminating MDD patients from healthy controls: a meta-analysis. International psychogeriatrics / IPA. 2013;25:1543–1557. doi: 10.1017/S1041610213000689. [DOI] [PubMed] [Google Scholar]
  • 26.Morimoto SS, Gunning FM, Kanellopoulos D, et al. Semantic organizational strategy predicts verbal memory and remission rate of geriatric depression. International journal of geriatric psychiatry. 2012;27:506–512. doi: 10.1002/gps.2743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Manning KJ, Alexopoulos GS, Banerjee S, et al. Executive functioning complaints and escitalopram treatment response in late-life depression. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2015;23:440–445. doi: 10.1016/j.jagp.2013.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Potter GG, Kittinger JD, Wagner HR, Steffens DC, Krishnan KR. Prefrontal neuropsychological predictors of treatment remission in late-life depression. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2004;29:2266–2271. doi: 10.1038/sj.npp.1300551. [DOI] [PubMed] [Google Scholar]
  • 29.Thompson DG, Kesler SR, Sudheimer K, et al. FMRI activation during executive function predicts response to cognitive behavioral therapy in older, depressed adults. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2015;23:13–22. doi: 10.1016/j.jagp.2014.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Steffens DC, Welsh-Bohmer KA, Burke JR, et al. Methodology and preliminary results from the neurocognitive outcomes of depression in the elderly study. J Geriatr Psychiatry Neurol. 2004;17:202–211. doi: 10.1177/0891988704269819. [DOI] [PubMed] [Google Scholar]
  • 31.Steffens DC, Manning KJ, Wu R, Grady JJ, Fortinsky RH, Tennen HA. Methodology and preliminary results from the neurobiology of late-life depression study. International psychogeriatrics / IPA. 2015;27:1987–1997. doi: 10.1017/S1041610215001386. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kendler KS, Kuhn J, Prescott CA. The interrelationship of neuroticism, sex, and stressful life events in the prediction of episodes of major depression. The American journal of psychiatry. 2004;161:631–636. doi: 10.1176/appi.ajp.161.4.631. [DOI] [PubMed] [Google Scholar]
  • 33.Hirschfeld RM, Klerman GL, Lavori P, Keller MB, Griffith P, Coryell W. Premorbid personality assessments of first onset of major depression. Archives of general psychiatry. 1989;46:345–350. doi: 10.1001/archpsyc.1989.01810040051008. [DOI] [PubMed] [Google Scholar]
  • 34.Steffens DC, McQuoid DR, Smoski MJ, Potter GG. Clinical outcomes of older depressed patients with and without comorbid neuroticism. International psychogeriatrics / IPA. 2013;25:1985–1990. doi: 10.1017/S1041610213001324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Mennin DS, Fresco DM. What, Me Worry and Ruminate About DSM-5 and RDoC? The Importance of Targeting Negative Self-Referential Processing. Clin Psychol (New York) 2013;20:258–267. doi: 10.1111/cpsp.12038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Carballedo A, Doyle M, Lavelle G, et al. Affective Network Hyperconnectivity and Hypoconnectivity of Cognitive Control and Ventral Attention Networks in Adults with High Neuroticism. Annals of Depression and Anxiety. 2014:1–7. [Google Scholar]
  • 37.Lemogne C, le Bastard G, Mayberg H, et al. In search of the depressive self: extended medial prefrontal network during self-referential processing in major depression. Social cognitive and affective neuroscience. 2009;4:305–312. doi: 10.1093/scan/nsp008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Doerig N, Schlumpf Y, Spinelli S, et al. Neural representation and clinically relevant moderators of individualised self-criticism in healthy subjects. Social cognitive and affective neuroscience. 2014;9:1333–1340. doi: 10.1093/scan/nst123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Rao JA, Kassel MT, Weldon AL, et al. The double burden of age and major depressive disorder on the cognitive control network. Psychology and aging. 2015;30:475–485. doi: 10.1037/pag0000027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Morimoto SS, Wexler BE, Liu J, Hu W, Seirup J, Alexopoulos GS. Neuroplasticity-based computerized cognitive remediation for treatment-resistant geriatric depression. Nat Commun. 2014;5:4579. doi: 10.1038/ncomms5579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Rhyner KT, Watts A. Exercise and Depressive Symptoms in Older Adults: A Systematic Meta-Analytic Review. J Aging Phys Act. 2016;24:234–246. doi: 10.1123/japa.2015-0146. [DOI] [PubMed] [Google Scholar]
  • 42.Jiang L, Cao X, Li T, et al. Cortical Thickness Changes Correlate with Cognition Changes after Cognitive Training: Evidence from a Chinese Community Study. Front Aging Neurosci. 2016;8:118. doi: 10.3389/fnagi.2016.00118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Luo C, Zhang X, Cao X, et al. The Lateralization of Intrinsic Networks in the Aging Brain Implicates the Effects of Cognitive Training. Front Aging Neurosci. 2016;8:32. doi: 10.3389/fnagi.2016.00032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Creswell JD, Taren AA, Lindsay EK, et al. Alterations in Resting-State Functional Connectivity Link Mindfulness Meditation With Reduced Interleukin-6: A Randomized Controlled Trial. Biological psychiatry. 2016;80:53–61. doi: 10.1016/j.biopsych.2016.01.008. [DOI] [PubMed] [Google Scholar]
  • 45.Morimoto SS, Wexler BE, Alexopoulos GS. Neuroplasticity-based computerized cognitive remediation for geriatric depression. Int J Geriatr Psychiatry. 2012;27:1239–1247. doi: 10.1002/gps.3776. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Keshavan MS, Vinogradov S, Rumsey J, Sherrill J, Wagner A. Cognitive training in mental disorders: update and future directions. The American journal of psychiatry. 2014;171:510–522. doi: 10.1176/appi.ajp.2013.13081075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Ball K, Berch DB, Helmers KF, et al. Effects of cognitive training interventions with older adults: a randomized controlled trial. JAMA. 2002;288:2271–2281. doi: 10.1001/jama.288.18.2271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Rebok GW, Ball K, Guey LT, et al. Ten-year effects of the advanced cognitive training for independent and vital elderly cognitive training trial on cognition and everyday functioning in older adults. J Am Geriatr Soc. 2014;62:16–24. doi: 10.1111/jgs.12607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Cao W, Cao X, Hou C, et al. Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks. Front Aging Neurosci. 2016;8:70. doi: 10.3389/fnagi.2016.00070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Cao X, Yao Y, Li T, et al. The Impact of Cognitive Training on Cerebral White Matter in Community-Dwelling Elderly: One-Year Prospective Longitudinal Diffusion Tensor Imaging Study. Sci Rep. 2016;6:33212. doi: 10.1038/srep33212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Cohen N, Margulies DS, Ashkenazi S, et al. Using executive control training to suppress amygdala reactivity to aversive information. Neuroimage. 2016;125:1022–1031. doi: 10.1016/j.neuroimage.2015.10.069. [DOI] [PubMed] [Google Scholar]
  • 52.Yang H, Leaver AM, Siddarth P, et al. Neurochemical and Neuroanatomical Plasticity Following Memory Training and Yoga Interventions in Older Adults with Mild Cognitive Impairment. Front Aging Neurosci. 2016;8:277. doi: 10.3389/fnagi.2016.00277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Engvig A, Fjell AM, Westlye LT, et al. Memory training impacts short-term changes in aging white matter: a longitudinal diffusion tensor imaging study. Hum Brain Mapp. 2012;33:2390–2406. doi: 10.1002/hbm.21370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Charlton RA, Lamar M, Zhang A, Yang S, Ajilore O, Kumar A. White-matter tract integrity in late-life depression: associations with severity and cognition. Psychological medicine. 2014;44:1427–1437. doi: 10.1017/S0033291713001980. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Cohen N, Mor N, Henik A. Linking executive control and emotional response: A training procedure to reduce neuroticism. Clinical Psychological Science. 2015;3:15–25. [Google Scholar]
  • 56.Hoorelbeke K, Koster EH, Vanderhasselt MA, Callewaert S, Demeyer I. The influence of cognitive control training on stress reactivity and rumination in response to a lab stressor and naturalistic stress. Behav Res Ther. 2015;69:1–10. doi: 10.1016/j.brat.2015.03.010. [DOI] [PubMed] [Google Scholar]
  • 57.Zeidan F, Martucci KT, Kraft RA, McHaffie JG, Coghill RC. Neural correlates of mindfulness meditation-related anxiety relief. Social cognitive and affective neuroscience. 2014;9:751–759. doi: 10.1093/scan/nst041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Fox KC, Nijeboer S, Dixon ML, et al. Is meditation associated with altered brain structure? A systematic review and meta-analysis of morphometric neuroimaging in meditation practitioners. Neurosci Biobehav Rev. 2014;43:48–73. doi: 10.1016/j.neubiorev.2014.03.016. [DOI] [PubMed] [Google Scholar]
  • 59.Wetherell JL, Hershey T, Hickman S, et al. Mindfulness-Based Stress Reduction for Older Adults With Stress Disorders and Neurocognitive Difficulties: A Randomized Controlled Trial. The Journal of clinical psychiatry. 2017;78:e734–e743. doi: 10.4088/JCP.16m10947. [DOI] [PubMed] [Google Scholar]
  • 60.Spinhoven P, Huijbers MJ, Ormel J, Speckens AEM. Improvement of mindfulness skills during Mindfulness-Based Cognitive Therapy predicts long-term reductions of neuroticism in persons with recurrent depression in remission. Journal of affective disorders. 2017;213:112–117. doi: 10.1016/j.jad.2017.02.011. [DOI] [PubMed] [Google Scholar]
  • 61.Cotman CW, Berchtold NC. Exercise: a behavioral intervention to enhance brain health and plasticity. Trends Neurosci. 2002;25:295–301. doi: 10.1016/s0166-2236(02)02143-4. [DOI] [PubMed] [Google Scholar]
  • 62.Ma Q. Beneficial effects of moderate voluntary physical exercise and its biological mechanisms on brain health. Neurosci Bull. 2008;24:265–270. doi: 10.1007/s12264-008-0402-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Krishnan KR, Hays JC, Blazer DG. MRI-defined vascular depression. The American journal of psychiatry. 1997;154:497–501. doi: 10.1176/ajp.154.4.497. [DOI] [PubMed] [Google Scholar]
  • 64.Alexopoulos GS, Meyers BS, Young RC, Campbell S, Silbersweig D, Charlson M. 'Vascular depression' hypothesis. Archives of general psychiatry. 1997;54:915–922. doi: 10.1001/archpsyc.1997.01830220033006. [DOI] [PubMed] [Google Scholar]
  • 65.Wolfson L, Wakefield DB, Moscufo N, et al. Rapid buildup of brain white matter hyperintensities over 4 years linked to ambulatory blood pressure, mobility, cognition, and depression in old persons. The journals of gerontology Series A, Biological sciences and medical sciences. 2013;68:1387–1394. doi: 10.1093/gerona/glt072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Ji L, Zhang H, Potter GG, et al. Multiple Neuroimaging Measures for Examining Exercise-induced Neuroplasticity in Older Adults: A Quasi-experimental Study. Front Aging Neurosci. 2017;9:102. doi: 10.3389/fnagi.2017.00102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Gourgouvelis J, Yielder P, Murphy B. Exercise Promotes Neuroplasticity in Both Healthy and Depressed Brains: An fMRI Pilot Study. Neural Plast. 2017;2017:8305287. doi: 10.1155/2017/8305287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Sherwood A, Blumenthal JA, Smith PJ, Watkins LL, Hoffman BM, Hinderliter AL. Effects of Exercise and Sertraline on Measures of Coronary Heart Disease Risk in Patients With Major Depression: Results From the SMILE-II Randomized Clinical Trial. Psychosomatic medicine. 2016;78:602–609. doi: 10.1097/PSY.0000000000000301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Huang TT, Liu CB, Tsai YH, Chin YF, Wong CH. Physical fitness exercise versus cognitive behavior therapy on reducing the depressive symptoms among community-dwelling elderly adults: A randomized controlled trial. Int J Nurs Stud. 2015;52:1542–1552. doi: 10.1016/j.ijnurstu.2015.05.013. [DOI] [PubMed] [Google Scholar]
  • 70.Ngandu T, Lehtisalo J, Solomon A, et al. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial. Lancet. 2015;385:2255–2263. doi: 10.1016/S0140-6736(15)60461-5. [DOI] [PubMed] [Google Scholar]

RESOURCES