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

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. A...

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Autores principales:	Faranak Farzan, Sravya Atluri, Matthew Frehlich, Prabhjot Dhami, Killian Kleffner, Rae Price, Raymond W. Lam, Benicio N. Frey, Roumen Milev, Arun Ravindran, Mary Pat McAndrews, Willy Wong, Daniel Blumberger, Zafiris J. Daskalakis, Fidel Vila-Rodriguez, Esther Alonso, Colleen A. Brenner, Mario Liotti, Moyez Dharsee, Stephen R. Arnott, Kenneth R. Evans, Susan Rotzinger, Sidney H. Kennedy
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/df67aeb954974b64bc85a67c8825a49e
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spelling	oai:doaj.org-article:df67aeb954974b64bc85a67c8825a49e2021-12-02T16:06:35ZStandardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression10.1038/s41598-017-07613-x2045-2322https://doaj.org/article/df67aeb954974b64bc85a67c8825a49e2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07613-xhttps://doaj.org/toc/2045-2322Abstract 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.Faranak FarzanSravya AtluriMatthew FrehlichPrabhjot DhamiKillian KleffnerRae PriceRaymond W. LamBenicio N. FreyRoumen MilevArun RavindranMary Pat McAndrewsWilly WongDaniel BlumbergerZafiris J. DaskalakisFidel Vila-RodriguezEsther AlonsoColleen A. BrennerMario LiottiMoyez DharseeStephen R. ArnottKenneth R. EvansSusan RotzingerSidney H. KennedyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Faranak Farzan Sravya Atluri Matthew Frehlich Prabhjot Dhami Killian Kleffner Rae Price Raymond W. Lam Benicio N. Frey Roumen Milev Arun Ravindran Mary Pat McAndrews Willy Wong Daniel Blumberger Zafiris J. Daskalakis Fidel Vila-Rodriguez Esther Alonso Colleen A. Brenner Mario Liotti Moyez Dharsee Stephen R. Arnott Kenneth R. Evans Susan Rotzinger Sidney H. Kennedy Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression
description	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.
format	article
author	Faranak Farzan Sravya Atluri Matthew Frehlich Prabhjot Dhami Killian Kleffner Rae Price Raymond W. Lam Benicio N. Frey Roumen Milev Arun Ravindran Mary Pat McAndrews Willy Wong Daniel Blumberger Zafiris J. Daskalakis Fidel Vila-Rodriguez Esther Alonso Colleen A. Brenner Mario Liotti Moyez Dharsee Stephen R. Arnott Kenneth R. Evans Susan Rotzinger Sidney H. Kennedy
author_facet	Faranak Farzan Sravya Atluri Matthew Frehlich Prabhjot Dhami Killian Kleffner Rae Price Raymond W. Lam Benicio N. Frey Roumen Milev Arun Ravindran Mary Pat McAndrews Willy Wong Daniel Blumberger Zafiris J. Daskalakis Fidel Vila-Rodriguez Esther Alonso Colleen A. Brenner Mario Liotti Moyez Dharsee Stephen R. Arnott Kenneth R. Evans Susan Rotzinger Sidney H. Kennedy
author_sort	Faranak Farzan
title	Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression
title_short	Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression
title_full	Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression
title_fullStr	Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression
title_full_unstemmed	Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression
title_sort	standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/df67aeb954974b64bc85a67c8825a49e
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Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression

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