The Global ECT-MRI Research Collaboration (GEMRIC): Establishing a multi-site investigation of the neural mechanisms underlying response to electroconvulsive therapy

Leif Oltedal*, Hauke Bartsch, Ole Johan Evjenth Sørhaug, Ute Kessler, Christopher Abbott, Annemieke Dols, Max L. Stek, Lars Ersland, Louise Emsell, Philip van Eijndhoven, Miklos Argyelan, Indira Tendolkar, Pia Nordanskog, Paul Hamilton, Martin Balslev Jorgensen, Iris E. Sommer, Sophie M. Heringa, Bogdan Draganski, Ronny Redlich, Udo DannlowskiHarald Kugel, Filip Bouckaert, Pascal Sienaert, Amit Anand, Randall Espinoza, Katherine L. Narr, Dominic Holland, Anders M. Dale, Ketil J. Oedegaard

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Major depression, currently the world's primary cause of disability, leads to profound personal suffering and increased risk of suicide. Unfortunately, the success of antidepressant treatment varies amongst individuals and can take weeks to months in those who respond. Electroconvulsive therapy (ECT), generally prescribed for the most severely depressed and when standard treatments fail, produces a more rapid response and remains the most effective intervention for severe depression. Exploring the neurobiological effects of ECT is thus an ideal approach to better understand the mechanisms of successful therapeutic response. Though several recent neuroimaging studies show structural and functional changes associated with ECT, not all brain changes associate with clinical outcome. Larger studies that can address individual differences in clinical and treatment parameters may better target biological factors relating to or predictive of ECT-related therapeutic response. We have thus formed the Global ECT-MRI Research Collaboration (GEMRIC) that aims to combine longitudinal neuroimaging as well as clinical, behavioral and other physiological data across multiple independent sites. Here, we summarize the ECT sample characteristics from currently participating sites, and the common data-repository and standardized image analysis pipeline developed for this initiative. This includes data harmonization across sites and MRI platforms, and a method for obtaining unbiased estimates of structural change based on longitudinal measurements with serial MRI scans. The optimized analysis pipeline, together with the large and heterogeneous combined GEMRIC dataset, will provide new opportunities to elucidate the mechanisms of ECT response and the factors mediating and predictive of clinical outcomes, which may ultimately lead to more effective personalized treatment approaches.

Original languageEnglish
Pages (from-to)422-432
Number of pages11
JournalNeuroImage: Clinical
Volume14
DOIs
Publication statusPublished - 2017

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