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Neuroimage Clin. 2017 Feb 14;14:422-432. doi: 10.1016/j.nicl.2017.02.009. eCollection 2017.

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

Author information

1
Department of Clinical Medicine, University of Bergen, Bergen, Norway; Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, Haukeland University Hospital, Bergen, Norway.
2
Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA.
3
Department of Clinical Medicine, University of Bergen, Bergen, Norway.
4
Department of Clinical Medicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.
5
Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, USA.
6
VUmc Amsterdam/GGZinGeest, Amsterdam, Netherlands.
7
Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway.
8
KU Leuven, University Psychiatric Center KU Leuven, Leuven, Belgium.
9
Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, Netherlands.
10
Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, New York, USA.
11
Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Faculty of Health Sciences, Linköping University, Linköping, Sweden.
12
Psychiatric Center Copenhagen, Copenhagen, Denmark.
13
Brain Center Rudolf Magnus, University Medical Center, Utrecht, Utrecht, Netherlands.
14
LREN, Department of Clinical Neurosciences - CHUV, University Lausanne, Switzerland; Max-Planck-Institute for Human Brain and Cognitive Neurosciences, Leipzig, Germany.
15
Department of Psychiatry, University of Münster, Germany.
16
Department of Psychiatry, University of Münster, Germany; Department of Psychiatry, University of Marburg, Germany.
17
Department of Clinical Radiology, University of Münster, Germany.
18
KU Leuven, University Psychiatric Center KU Leuven, Academic center for ECT and Neurostimulation (AcCENT), Kortenberg, Belgium.
19
Cleveland Clinic, Center for Behavioral Health, Cleveland, USA.
20
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles (UCLA), CA, USA.
21
Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles (UCLA), CA, USA; Department of Neurology, University of California, Los Angeles (UCLA), CA, USA.
22
Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
23
Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA.
24
Department of Clinical Medicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway; K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, Bergen, Norway.

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.

KEYWORDS:

Electroconvulsive therapy; Longitudinal; MRI; Mega analysis; Multi-site

PMID:
28275543
PMCID:
PMC5328749
DOI:
10.1016/j.nicl.2017.02.009
[Indexed for MEDLINE]
Free PMC Article

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