A multimetric systematic review of fMRI findings in patients with MDD receiving ECT

Prog Neuropsychopharmacol Biol Psychiatry. 2021 Jun 8:108:110178. doi: 10.1016/j.pnpbp.2020.110178. Epub 2020 Nov 14.

Abstract

Background: Electroconvulsive therapy (ECT) is considered the most effective treatment for major depressive disorder (MDD). In recent years, the pursuit of the neurobiological mechanisms of ECT action has generated a significant amount of functional magnetic resonance imaging (fMRI) research.

Objective: In this systematic review, we integrated all fMRI research in patients with MDD receiving ECT and, importantly, evaluated the level of convergence and replicability across multiple fMRI metrics.

Results: While according to most studies changes in patients with MDD after ECT appear to be widely distributed across the brain, our multimetric review revealed specific changes involving functional connectivity increases in the superior and middle frontal gyri as the most replicated and across-modality convergent findings. Although this modulation of prefrontal connectivity was associated to ECT outcome, we also identified fMRI measurements of the subgenual anterior cingulate cortex as the fMRI signals most significantly linked to clinical response.

Conclusion: We identified specific prefrontal and cingulate territories which activity and connectivity with other brain regions is modulated by ECT, critically accounting for its mechanism of action.

Keywords: Electroconvulsive therapy; Frontal modulation; Functional magnetic resonance imaging; Major depressive disorder; Subgenual anterior cingulate cortex; Treatment response biomarkers.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Biomarkers
  • Brain / diagnostic imaging
  • Depressive Disorder, Major / diagnostic imaging
  • Depressive Disorder, Major / therapy*
  • Electroconvulsive Therapy*
  • Functional Neuroimaging*
  • Humans
  • Magnetic Resonance Imaging*

Substances

  • Biomarkers