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Published on: August 2, 2021
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Brain Activation Associated With Response to Psychotherapies for Late-Life Depression: A Task-Based fMRI Study.
Nili Solomonov1, Lindsay W Victoria1, Zareen Mir1
1Weill Cornell Institute of Geriatric Psychiatry (NS, LWV, ZM, GSA, FMG), Weill Cornell Medicine, White Plains, NY.
Summary
Brain network activation patterns predict psychotherapy response in late-life depression. Lower activation in the dorsal anterior cingulate cortex (dACC) and subgenual cingulate cortex (sgACC) at baseline, and altered activation in these regions plus the nucleus accumbens (NAcc) at week 6, correlate with reduced depression severity.
Area of Science:
- Neuroscience
- Psychiatry
- Gerontology
Background:
- Late-life depression involves complex brain network dysfunctions.
- Understanding neurobiological responses to psychotherapy is crucial for personalized treatment strategies.
- This study investigates brain activation patterns in key networks linked to psychotherapy outcomes in older adults with depression.
Purpose of the Study:
- To examine the association between the activation of salience network, default mode network (DMN), and reward system regions and treatment response in late-life depression.
- To identify potential neuroimaging markers for predicting psychotherapy outcomes.
- To inform the development of personalized interventions for geriatric depression.
Main Methods:
- Thirty-three older adults with major depressive disorder were randomized to 9 weeks of Engage or Problem-Solving Therapy.
- Participants underwent fMRI while performing a Probabilistic Reversal Learning task at baseline and week 6.
- Mixed-effects regression models analyzed the relationship between activation in the dorsal anterior cingulate cortex (dACC), subgenual cingulate cortex (sgACC), and nucleus accumbens (NAcc) and depression severity.
Main Results:
- Baseline low activation in the dACC and sgACC correlated with lower depression severity over 6 weeks.
- Significant time*activation interactions revealed that at week 6, lower dACC activation and higher NAcc and sgACC activation were associated with reduced depression severity.
- Slower response to negative feedback and faster response to positive feedback at baseline predicted lower depression severity.
Conclusions:
- Activation patterns in reward, salience, and DMN regions may serve as biomarkers for psychotherapy response in late-life depression.
- Engagement of these neural networks appears linked to treatment success.
- These findings support the potential for personalized psychotherapies targeting specific brain profiles to enhance outcomes for older adults with depression.
