Abstract
BACKGROUND: Previous MRI studies reported deep grey matter volume increases after electroconvulsive therapy (ECT) in patients with major depressive disorder (MDD). However, the clinical correlates of these changes are still unclear. It remains debated whether such volume changes are transient, and if they correlate with affective changes over time. We here investigated if ECT induces deep grey matter volume increases in MDD-patients; and, if so, whether volume changes persist over more than 9 months and whether they are related to the clinical outcome.
METHODS: We examined 16 MDD-patients with 3Tesla MRI before (baseline) and after an ECT-series and followed 12 of them up for 10-36 months. Patients' data were compared to 16 healthy controls. Affective scales were used to investigate the relationship between therapy-outcome and MRI changes.
RESULTS: At baseline, MDD-patients had lower values in global brain volume, white matter and peripheral grey matter compared to healthy controls, but we observed no significant differences in deep grey matter volumes. After ECT, the differences in peripheral grey matter disappeared, and patients demonstrated significant volume increases in the right hippocampus and both thalami, followed by subsequent decreases after 10-36 months, especially in ECT-responders. Controls did not show significant changes over time.
LIMITATIONS: Beside the relatively small, yet carefully characterized cohort, we address the variability in time between the third scanning session and the baseline.
CONCLUSIONS: ECT-induced deep grey matter volume increases are transient. Our results suggest that the thalamus might be a key region for the understanding of the mechanisms of ECT action.
| Original language | English |
|---|---|
| Pages (from-to) | 908-917 |
| Number of pages | 10 |
| Journal | Journal of Affective Disorders |
| Volume | 281 |
| Early online date | Jan 2021 |
| DOIs | |
| Publication status | Published - 15 Feb 2021 |
Branches of science
- 202 Electrical Engineering, Electronics, Information Engineering
- 301 Medical-Theoretical Sciences, Pharmacy
- 302 Clinical Medicine
- 501 Psychology
- 206 Medical Engineering
Research Fields
- Neuroscience
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