TY - JOUR
T1 - The Global ECT-MRI Research Collaboration (GEMRIC)
T2 - Establishing a multi-site investigation of the neural mechanisms underlying response to electroconvulsive therapy
AU - Oltedal, Leif
AU - Bartsch, Hauke
AU - Sørhaug, Ole Johan Evjenth
AU - Kessler, Ute
AU - Abbott, Christopher
AU - Dols, Annemieke
AU - Stek, Max L.
AU - Ersland, Lars
AU - Emsell, Louise
AU - van Eijndhoven, Philip
AU - Argyelan, Miklos
AU - Tendolkar, Indira
AU - Nordanskog, Pia
AU - Hamilton, Paul
AU - Jorgensen, Martin Balslev
AU - Sommer, Iris E.
AU - Heringa, Sophie M.
AU - Draganski, Bogdan
AU - Redlich, Ronny
AU - Dannlowski, Udo
AU - Kugel, Harald
AU - Bouckaert, Filip
AU - Sienaert, Pascal
AU - Anand, Amit
AU - Espinoza, Randall
AU - Narr, Katherine L.
AU - Holland, Dominic
AU - Dale, Anders M.
AU - Oedegaard, Ketil J.
N1 - Funding Information:
This study is supported by Western Norway Regional Health Authority, Haukeland University Hospital and the University of Bergen, Norway. Additionally, individual sites acknowledge support from: The Lundbeck Foundation (MJB); the Münster Cohort was funded by the German Research Foundation (DFG, grant FOR2107, 1151/5-1 to UD) and Innovative Medizinische Forschung (IMF, RE111604 to RR); Centers of Biomedical Research Excellence (2P20GM103472-01 to CA); BD is supported by the Swiss National Science Foundation (NCCR Synapsy, project grant Nr 32003B_159780), Foundation Parkinson Switzerland and Foundation Synapsis. LREN is very grateful to the Roger de Spoelberch and Partridge Foundations for their generous financial support; for UCLA, funding was obtained through Award Numbers R01MH092301 and K24MH102743 from the National Institute of Mental Health.
Publisher Copyright:
© 2017 The Author(s)
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Electroconvulsive therapy
KW - Longitudinal
KW - Mega analysis
KW - MRI
KW - Multi-site
UR - http://www.scopus.com/inward/record.url?scp=85013801310&partnerID=8YFLogxK
U2 - 10.1016/j.nicl.2017.02.009
DO - 10.1016/j.nicl.2017.02.009
M3 - Article
C2 - 28275543
AN - SCOPUS:85013801310
SN - 2213-1582
VL - 14
SP - 422
EP - 432
JO - NeuroImage: Clinical
JF - NeuroImage: Clinical
ER -