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Brain-cognition relationships and treatment outcome in treatment-resistant late-life depression
Peter Zhukovsky1,2, Meryl A Butters3, Helen Lavretsky4
1Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada. peter.zhukovsky@camh.ca.
Abstract:
Older adults with treatment-resistant depression are at significant risk for cognitive impairment. However, the relationship between treatment response and cognitive function in this population is not well-established. We examined neural correlates of executive and memory function, and their relationship with remission to pharmacological treatment in a biomarker study embedded within a clinical trial for late-life treatment-resistant depression. Among participants who completed neuroimaging, better cognition was associated with lower connectivity between components of the default mode and the frontoparietal networks and within the frontoparietal network. Using diffusion imaging data, lower tract integrity in a distributed set of tracts was associated with poorer processing speed. Additionally, gray matter structure was positively associated with cognition. Greater education was also associated with better cognition. Ongoing treatment resistance was predicted by poorer cognition and gray matter structure in cross-validated regularized logistic models. These results identify distinct cross-sectional associations between neural circuits and cognitive function in treatment-resistant late-life depression, and build a predictive model for antidepressant medication response.
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