AI Article Synopsis

  • Electroconvulsive therapy (ECT) is a proven treatment for depression, but the brain mechanisms and predictors of response are still unclear.
  • A study involving 21 depressed inpatients examined brain activity before and after ECT using functional MRI, focusing on key brain regions linked to depression.
  • The findings revealed no significant neural markers or changes in brain activity related to treatment response, highlighting the ongoing challenges in identifying reliable biomarkers for ECT.

Article Abstract

Background: Electroconvulsive therapy (ECT) is an effective treatment for patients suffering from depression. Yet the exact neurobiological mechanisms underlying the efficacy of ECT and indicators of who might respond best to it remain to be elucidated. Identifying neural markers that can inform about an individual's response to ECT would enable more optimal treatment strategies and increase clinical efficacy.

Methods: Twenty-one acutely depressed inpatients completed an emotional working memory task during functional magnetic resonance imaging before and after receiving treatment with ECT. Neural activity was assessed in 5 key regions associated with the pathophysiology of depression: bilateral dorsolateral prefrontal cortex and pregenual, subgenual, and dorsal anterior cingulate cortex. Associations between brain activation and clinical improvement, as reflected by Montgomery-Åsberg Depression Rating Scale scores, were computed using linear regression models, t tests, and Pearson correlational analyses.

Results: Significant neurobiological prognostic markers or changes in neural activity from pre- to post ECT did not emerge.

Conclusions: We could not confirm normalization effects and did not find significant neural markers related to treatment response. These results demonstrate that the search for reliable and clinically useful biomarkers for ECT treatment remains in its initial stages and still faces challenges.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850659PMC
http://dx.doi.org/10.1093/ijnp/pyac063DOI Listing

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