Evidence map›Paper›PMID 28275543›Full record

ArticleNeuroImage. Clinical2017

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 and 19 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Leif OltedalDepartment 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.
Hauke BartschCenter 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.
Ole Johan Evjenth SørhaugDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Ute KesslerDepartment of Clinical Medicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.
Christopher AbbottDepartment of Psychiatry, University of New Mexico School of Medicine, Albuquerque, USA.
Annemieke DolsVUmc Amsterdam/GGZinGeest, Amsterdam, Netherlands.
Max L StekVUmc Amsterdam/GGZinGeest, Amsterdam, Netherlands.
Lars ErslandDepartment of Clinical Engineering, Haukeland University Hospital, Bergen, Norway.
Louise EmsellKU Leuven, University Psychiatric Center KU Leuven, Leuven, Belgium.
Philip van EijndhovenDonders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, Netherlands.
Miklos ArgyelanCenter for Psychiatric Neuroscience, Feinstein Institute for Medical Research, New York, USA.
Indira TendolkarDonders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, Netherlands.
Pia NordanskogCenter for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Faculty of Health Sciences, Linköping University, Linköping, Sweden.
Paul HamiltonCenter for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Faculty of Health Sciences, Linköping University, Linköping, Sweden.
Martin Balslev JorgensenPsychiatric Center Copenhagen, Copenhagen, Denmark.
Iris E SommerBrain Center Rudolf Magnus, University Medical Center, Utrecht, Utrecht, Netherlands.
Sophie M HeringaBrain Center Rudolf Magnus, University Medical Center, Utrecht, Utrecht, Netherlands.
Bogdan DraganskiLREN, Department of Clinical Neurosciences - CHUV, University Lausanne, Switzerland; Max-Planck-Institute for Human Brain and Cognitive Neurosciences, Leipzig, Germany.
Ronny RedlichDepartment of Psychiatry, University of Münster, Germany.
Udo DannlowskiDepartment of Psychiatry, University of Münster, Germany; Department of Psychiatry, University of Marburg, Germany.
Harald KugelDepartment of Clinical Radiology, University of Münster, Germany.
Filip BouckaertKU Leuven, University Psychiatric Center KU Leuven, Academic center for ECT and Neurostimulation (AcCENT), Kortenberg, Belgium.
Pascal SienaertKU Leuven, University Psychiatric Center KU Leuven, Academic center for ECT and Neurostimulation (AcCENT), Kortenberg, Belgium.
Amit AnandCleveland Clinic, Center for Behavioral Health, Cleveland, USA.
Randall EspinozaDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles (UCLA), CA, USA.
Katherine L NarrDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles (UCLA), CA, USA; Department of Neurology, University of California, Los Angeles (UCLA), CA, USA.
Dominic HollandCenter 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.
Anders M DaleCenter 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.
Ketil J OedegaardDepartment 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.

Funding

Perturbation of the treatment resistant depression connectome by fast-acting therapiesU01MH110008 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESPINOZA, RANDALL, NARR, KATHERINE L · 2016 to 2019
$5.5M
Imaging biomarkers of ECT response in major depressive disorderR01MH092301 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESPINOZA, RANDALL, NARR, KATHERINE L · 2011 to 2015
$4.0M
ECT current amplitude and medial temporal lobe engagementU01MH111826 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ABBOTT, CHRISTOPHER C · 2017 to 2019
$1.5M
Biomarkers of fast acting therapies in major depressionK24MH102743 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NARR, KATHERINE L · 2014 to 2018
$889k
NIMH NIH HHS K24 MH102743NIMH NIH HHS R01 MH092301NIMH NIH HHS U01 MH110008NIMH NIH HHS U01 MH111826
6 · The paper itself

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.

Indexed as

Brain MappingInternational CooperationMagnetic Resonance ImagingAdultAgedAged, 80 and overBrainDatabases, FactualElectroconvulsive TherapyFemaleHumansImage Processing, Computer-AssistedMajor Depressive DisorderMaleMiddle AgedPsychiatric Status Rating ScalesElectroconvulsive therapyLongitudinalMega analysisMRIMulti-site

Identifiers

PMID28275543
PMCPMC5328749

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.