MRI signal hyperintensities and failure to remit following antidepressant treatment

Sneed, Joel R.; Culang-Reinlieb, Michelle E.; Brickman, Adam M.; Gunning-Dixon, Faith M.; Johnert, Lauren C.; Garcon, Ernst; Roose, Steven P.

doi:10.1016/j.jad.2011.06.052

Cited by 49 publications

(48 citation statements)

References 47 publications

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“…Two concordant reports have associated higher WMH concentrations with non-remission in late-life depression (Gunning-Dixon et al, 2010;Sneed et al, 2011). This is consistent with other research demonstrating a poorer outcome and greater likelihood of treatment resistance with increasing WMH burden (Heiden et al, 2005;Patankar et al, 2007).…”

Section: Wm Lesionssupporting

confidence: 86%

“…Patients were categorised as having a high WMH burden if their calculated lesion volumes were in the highest quartile of the trial population. Using this definition, the odds ratios for non-remission were 7.1 and 4.2 in patients with high lesion densities in the deep white matter and periventricular regions respectively (Sneed et al, 2011).…”

Section: White Matter Signal Hyperintensitiesmentioning

confidence: 99%

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Imaging predictors of remission to anti-depressant medications in major depressive disorder

Korgaonkar

Grieve

2015

Journal of Affective Disorders

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Section: Wm Lesionssupporting

confidence: 86%

Section: White Matter Signal Hyperintensitiesmentioning

confidence: 99%

Imaging predictors of remission to anti-depressant medications in major depressive disorder

Korgaonkar

Grieve

2015

Journal of Affective Disorders

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“…Part of the limitation is the paucity of randomized controlled trials testing how well imaging biomarkers can help in selecting treatment 18 . The current set of studies, however, demonstrates that MRI can yield predictive biomarkers of response to standard first-line antidepressant treatment 10–12, 15, 16, 19–39 .…”

Section: Introductionmentioning

confidence: 88%

“…In Table 1, we describe the particular criteria used in each study for defining the outcome measure. Twelve other studies with sample sizes ranging from 13 to 190 are reviewed in Table 1 10, 11, 15, 16, 21, 22, 24, 30, 31, 36–38 . These studies have generally replicated the association of poorer treatment response with high WMH burden.…”

Section: Pre-treatment Structural Mri Predictors Of Lld Treatment Resmentioning

confidence: 99%

“…Thus, in the elderly, it is particularly important to shorten this window and to identify early effective medication regimens. Several studies have examined the demographic, clinical, cognitive, imaging, and physiologic predictors of treatment response 1–6, 9–16 . The current review provides an update focused on the use of MR imaging predictors of treatment response in geriatric depression.…”

Section: Introductionmentioning

confidence: 99%

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Magnetic Resonance Imaging Predictors of Treatment Response in Late-Life Depression

Aizenstein

Khalaf

Walker

et al. 2013

J Geriatr Psychiatry Neurol

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In older adults, depression not only results in more years lived with disability than any other disease, but it also carries additional risk for suicide, medical comorbidities, and family care-giving burden. Because it can take many months to identify an effective treatment regimen, it is of upmost importance to shorten the window of time and identify early on what medication(s) and dosages will work effectively for individuals suffering from depression. Late-life depression (LLD) has been associated with greater burden of age-related changes, including atrophy, white matter ischemic changes, and alterations in functional connectivity (FC). Depression in midlife has been shown to alter affective reactivity and regulation, and functional magnetic resonance imaging (fMRI) studies in LLD have replicated the same abnormalities. Effective treatment can normalize these alterations. This article provides a review of the current literature using structural and functional neuroimaging to identify magnetic resonance imaging (MRI) predictors of treatment response in LLD. The majority of the literature on structural MRI has focused on the vascular depression hypothesis, and studies support the view that loss of brain volume and white matter integrity is associated with poorer treatment outcomes. Studies using fMRI have reported that lower task-based activity in the prefrontal cortex (PFC) and limbic regions is associated with poorer outcome. These imaging markers may be integrated into clinical decision-making to better treatment outcomes in the future.

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The external validity of MRI‐defined vascular depression

Pimontel

Reinlieb

Johnert

et al. 2013

Int J Geriat Psychiatry

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MRI signal hyperintensities and failure to remit following antidepressant treatment

Cited by 49 publications

References 47 publications

Imaging predictors of remission to anti-depressant medications in major depressive disorder

Imaging predictors of remission to anti-depressant medications in major depressive disorder

Magnetic Resonance Imaging Predictors of Treatment Response in Late-Life Depression

The external validity of MRI‐defined vascular depression

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