Best Practices in Data Analysis and Sharing in Neuroimaging using MEEG

Contributors:
  1. Natasha Maurits
  2. Elizabeth Pang
  3. Riitta Salmelin
  4. Jan Mathijs Schoffelen
  5. Pedro A. Valdes-Sosa
  6. Aina Puce

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Description: Neuroimaging methods, including magnetoencephalography and electroencephalo- graphy (MEEG), allow non-invasive collection of neural data in healthy people and in individuals with neurological or psychiatric disorders, with the aim of advancing the understanding of brain function in health and disease. Currently, scientific practice is undergoing a tremendous change, aiming to improve both research reproducibility and transparency in data collection, documentation and analysis, and in manuscript review. To advance the practice of open science, the Organization for Human Brain Mapping originally created the Committee on Best Practice in Data Analysis and Sharing (COBIDAS), which produced a report for MRI-based data. This effort continues with the OHBM’s creation of a COBIDAS MEEG committee whose task is to create a similar document that describes best practice recommendations for MEEG data. The document has been drafted by OHBM experts in MEEG, with input from the brain imaging community including OHBM members who volunteered to help with this effort and executive committee members of the International Federation for Clinical Neurophysiology. This document outlines the principles of open and reproducible research in MEEG, and also applies these principles to specific research practices. Not all MEEG data practice is described in this document. Instead, we present information that we believe should be reported to fully understand and potentially replicate any study. We describe both good practice and reporting standards that ensure data collection and analysis will adhere to the highest standards. We also deal with issues of nomenclature and terminology which, due to the relatively long history of MEEG, have come about as different subfields emerged.

License: CC-By Attribution 4.0 International

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