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Sci Rep. 2017 Aug 7;7(1):7473. doi: 10.1038/s41598-017-07613-x.

Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression.

Author information

1
Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, ON, M6J 1A8, Canada. ffarzan@sfu.ca.
2
Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, ON, M5T 1R8, Canada. ffarzan@sfu.ca.
3
Institute of Medical Science, Faculty of Medicine, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada. ffarzan@sfu.ca.
4
School of Mechatronic Systems Engineering, Simon Fraser University, 250-13450 102 Avenue, Surrey, BC, V3T 0A3, Canada. ffarzan@sfu.ca.
5
Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, ON, M6J 1A8, Canada.
6
Institute of Biomaterial and Biomedical Engineering, Rosebrugh Building, Room 407, 164 College St, Toronto, ON, M5S 3G9, Canada.
7
The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, 10 King's College Road, Toronto, ON, M5S 3G4, Canada.
8
Institute of Medical Science, Faculty of Medicine, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.
9
University of British Columbia and Vancouver Coastal Health Authority, 2255 Wesbrook Mall, Vancouver, BC, V6T 2A1, Canada.
10
University Health Network, 399 Bathurst Street, Toronto, ON, M5T 2S8, Canada.
11
McMaster University, and St. Joseph's Healthcare Hamilton, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada.
12
Queen's University, Providence Care, Mental Health Services, 752 King Street West, Kingston, ON, K7L 4X3, Canada.
13
Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, ON, M5T 1R8, Canada.
14
Loma Linda University, 24851 Circle Dr, Loma Linda, CA, 92354, USA.
15
Simon Fraser University, 8888 University Dr, Burnaby, BC, V5A 1S6, Canada.
16
Indoc Research, 258 Adelaide St. East, Suite 200, Toronto, ON, M5A 1N1, Canada.
17
Rotman Research Institute at Baycrest Centre, 3560 Bathurst Street, Toronto, ON, M6A 2E1, Canada.
18
Department of Pathology and Molecular Medicine, Queen's University, 88 Stuart Street, Kingston, ON, K7L 3N6, Canada.
19
St. Michael's Hospital, 193 Yonge St, Toronto, ON, M5B 1M4, Canada.

Abstract

Subsequent to global initiatives in mapping the human brain and investigations of neurobiological markers for brain disorders, the number of multi-site studies involving the collection and sharing of large volumes of brain data, including electroencephalography (EEG), has been increasing. Among the complexities of conducting multi-site studies and increasing the shelf life of biological data beyond the original study are timely standardization and documentation of relevant study parameters. We present the insights gained and guidelines established within the EEG working group of the Canadian Biomarker Integration Network in Depression (CAN-BIND). CAN-BIND is a multi-site, multi-investigator, and multi-project network supported by the Ontario Brain Institute with access to Brain-CODE, an informatics platform that hosts a multitude of biological data across a growing list of brain pathologies. We describe our approaches and insights on documenting and standardizing parameters across the study design, data collection, monitoring, analysis, integration, knowledge-translation, and data archiving phases of CAN-BIND projects. We introduce a custom-built EEG toolbox to track data preprocessing with open-access for the scientific community. We also evaluate the impact of variation in equipment setup on the accuracy of acquired data. Collectively, this work is intended to inspire establishing comprehensive and standardized guidelines for multi-site studies.

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