Electroconvulsive therapy treatment responsive multimodal brain networks

Shile Qi, Christopher C. Abbott, Katherine L. Narr, Rongtao Jiang, Joel Upston, Shawn M. McClintock, Randall Espinoza, Tom Jones, Dongmei Zhi, Hailun Sun, Xiao Yang, Jing Sui, Vince D. Calhoun

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


Electroconvulsive therapy is regarded as the most effective antidepressant treatment for severe and treatment-resistant depressive episodes. Despite the efficacy of electroconvulsive therapy, the neurobiological underpinnings and mechanisms underlying electroconvulsive therapy induced antidepressant effects remain unclear. The objective of this investigation was to identify electroconvulsive therapy treatment responsive multimodal biomarkers with the 17-item Hamilton Depression Rating Scale guided brain structure–function fusion in 118 patients with depressive episodes and 60 healthy controls. Results show that reduced fractional amplitude of low frequency fluctuations in the prefrontal cortex, insula and hippocampus, linked with increased gray matter volume in anterior cingulate, medial temporal cortex, insula, thalamus, caudate and hippocampus represent electroconvulsive therapy responsive covarying functional and structural brain networks. In addition, relative to nonresponders, responder-specific electroconvulsive therapy related brain networks occur in frontal-limbic network and are associated with successful therapeutic outcomes. Finally, electroconvulsive therapy responsive brain networks were unrelated to verbal declarative memory. Using a data-driven, supervised-learning method, we demonstrated that electroconvulsive therapy produces a remodeling of brain functional and structural covariance that was unique to antidepressant symptom response, but not linked to memory impairment.

Original languageEnglish (US)
Pages (from-to)1775-1785
Number of pages11
JournalHuman Brain Mapping
Issue number7
StatePublished - May 1 2020


  • depressive episodes
  • electroconvulsive therapy
  • multimodal fusion
  • treatment response

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology


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