It can be difficult to achieve remission in individuals with late-life depression (LLD) and they often require aggressive treatment. This challenge is in part due to age-related vascular changes that are common in LLD. Successful antidepressant treatment involve changes across affective, cognitive, and default mode networks. We hypothesize that in LLD, vascular disease adversely affects response to antidepressants by disrupting connectivity of these networks. The primary goal of this project is to characterize how focal vascular damage affects regional connectivity and response to antidepressants. Based on past work and pilot data, we a priori focus on the cingulum bundle and uncinate fasciculus. These key fiber bundles connect frontal, temporal, and cingulate regions involved in cognition and affective responses. Our central hypothesis is that ischemic damage to the cingulum bundle and uncinate fasciculus contributes to structural and functional connectivity deficits of those tracts. This results in a disconnection effect that alters the function of connected regions. In tun, this increases the risk of a poor response to antidepressants. Our approach is to enroll 130 adults over age 60 years with a diagnosis of Major Depressive Disorder. Subjects will complete clinical evaluation, cognitive testing, and MRI/fMRI sessions, including an fMRI emotional oddball task that includes attentional and affective components. Participants will be stratified by cerebral lesion severity and randomized in a 2:1 ratio to a double-blinded 8-week trial of escitalopram or matching placebo. Those who do not remit will transition to an 8-week trial of open-label bupropion, an antidepressant with a different mechanism of action. This will allow us to determine if different and distinct circuit deficits affect response to antidepressants with different mechanisms of action while also accounting for the placebo response. Exploratory aims include a) examination of cognitive tasks that could serve as markers of fiber tract damage and b) whole-brain approaches examining neural contributions to poor antidepressant response. This application is significant and innovative as it uses tract-specific measures of white matter lesions to examine how focal vascular damage is associated with functional connectivity measures and brain activity. We will then examine how these measures predict response to antidepressants. This project will have broad significance for understanding how vascular disease affects brain function and contributes to LLD. Importantly, the identification of relationships between circuit deficits and antidepressant response may have clinical implications, particularly if we can identify cognitive test markers that serve as a surrogate for tract damage.

Public Health Relevance

This study will examine the relationship between neural circuitry deficits and response to antidepressants in a cohort with late-life depression. This stud will enhance our understanding of how differences in neural circuits affect response to antidepressants of differing mechanisms of action. Clinical translation of this work would have great value in personalized therapy approaches for the treatment of depression.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH102246-05
Application #
9382905
Study Section
Interventions Committee for Adult Disorders (ITVA)
Program Officer
Evans, Jovier D
Project Start
2015-01-15
Project End
2019-11-30
Budget Start
2017-12-01
Budget End
2018-11-30
Support Year
5
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Vanderbilt University Medical Center
Department
Type
DUNS #
079917897
City
Nashville
State
TN
Country
United States
Zip Code
37232
Taylor, Warren D; Schultz, Susan K; Panaite, Vanessa et al. (2018) Perspectives on the Management of Vascular Depression. Am J Psychiatry 175:1169-1175
Gandelman, Jason A; Albert, Kimberly; Boyd, Brian D et al. (2018) Intrinsic Functional Network Connectivity Is Associated With Clinical Symptoms and Cognition in Late Life Depression. Biol Psychiatry Cogn Neurosci Neuroimaging :
Taylor, Warren D; Deng, Yi; Boyd, Brian D et al. (2018) Medial temporal lobe volumes in late-life depression: effects of age and vascular risk factors. Brain Imaging Behav :
Deng, Yi; McQuoid, Douglas R; Potter, Guy G et al. (2018) Predictors of recurrence in remitted late-life depression. Depress Anxiety 35:658-667
Johnson, Anne D; McQuoid, Douglas R; Steffens, David C et al. (2017) Effects of stressful life events on cerebral white matter hyperintensity progression. Int J Geriatr Psychiatry 32:e10-e17
Albert, Kimberly; Hiscox, Jessica; Boyd, Brian et al. (2017) Estrogen enhances hippocampal gray-matter volume in young and older postmenopausal women: a prospective dose-response study. Neurobiol Aging 56:1-6
Taylor, Warren D (2017) Lack of a Role for Alzheimer's Disease Pathology in Late-Life Depression, or Just No Relationship With Amyloid? Am J Psychiatry 174:197-198
Rutherford, Bret R; Taylor, Warren D; Brown, Patrick J et al. (2017) Biological Aging and the Future of Geriatric Psychiatry. J Gerontol A Biol Sci Med Sci 72:343-352
Riddle, Meghan; Potter, Guy G; McQuoid, Douglas R et al. (2017) Longitudinal Cognitive Outcomes of Clinical Phenotypes of Late-Life Depression. Am J Geriatr Psychiatry 25:1123-1134
Taylor, Warren D (2016) Moderators of Remission in Patients With Late-Life Depression: Where Do We Go Next? JAMA Psychiatry 73:319-20

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