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The Canadian Biomarker Integration Network in Depression (CAN-BIND): magnetic resonance imaging protocols

Authors :
Susan Rotzinger
Stephen R. Arnott
Christopher R. Bowie
Geoffrey B. Hall
Glenda MacQueen
Jean Addington
Jane A. Foster
Benicio N. Frey
Daniel J. Müller
Joanna Yu
Jacqueline K. Harris
Sagar V. Parikh
Mojdeh Zamyadi
Roumen Milev
Benjamin I. Goldstein
Stephen C. Strother
Jonathan Downar
Kate L. Harkness
Gustavo Turecki
Catherine Lebel
Signe Bray
Sakina J. Rizvi
Stefanie Hassel
Claudio N. Soares
Gulshan B. Sharma
Andrew D. Davis
Fidel Vila-Rodriguez
Sidney H. Kennedy
Raymond W. Lam
Source :
Journal of Psychiatry and Neuroscience. 44:223-236
Publication Year :
2019
Publisher :
CMA Joule Inc., 2019.

Abstract

Studies of clinical populations that combine MRI data generated at multiple sites are increasingly common. The Canadian Biomarker Integration Network in Depression (CAN-BIND; www.canbind.ca) is a national depression research program that includes multimodal neuroimaging collected at several sites across Canada. The purpose of the current paper is to provide detailed information on the imaging protocols used in a number of CAN-BIND studies. The CAN-BIND program implemented a series of platform-specific MRI protocols, including a suite of prescribed structural and functional MRI sequences supported by real-time monitoring for adherence and quality control. The imaging data are retained in an established informatics and databasing platform. Approximately 1300 participants are being recruited, including almost 1000 with depression. These include participants treated with antidepressant medications, transcranial magnetic stimulation, cognitive behavioural therapy and cognitive remediation therapy. Our ability to analyze the large number of imaging variables available may be limited by the sample size of the substudies. The CAN-BIND program includes a multimodal imaging database supported by extensive clinical, demographic, neuropsychological and biological data from people with major depression. It is a resource for Canadian investigators who are interested in understanding whether aspects of neuroimaging — alone or in combination with other variables — can predict the outcomes of various treatment modalities.

Details

ISSN :
11804882
Volume :
44
Database :
OpenAIRE
Journal :
Journal of Psychiatry and Neuroscience
Accession number :
edsair.doi.dedup.....33d59d1f6ad7f904930f25b6780dcd5d
Full Text :
https://doi.org/10.1503/jpn.180036