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Good scientific practice in EEG and MEG research: Progress and perspectives
Guiomar Niso1, Laurens R Krol2, Etienne Combrisson3
1Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA; Universidad Politecnica de Madrid and CIBER-BBN, Madrid, Spain.
Neuroimage
|March 14, 2022
Summary
Good scientific practice (GSP) in magneto- and electroencephalography (MEEG) research now emphasizes intangible factors like awareness of biases and societal realities. Current GSP favors collaborative and cooperative work for scientific and societal benefit.
Area of Science:
- Neuroscience
- Scientific Methodology
Background:
- Good Scientific Practice (GSP) ensures high-quality scientific output and efficient community sharing.
- MEEG research requires specific, evolving technical standards within GSP.
- GSP must also encompass awareness of personal, organizational, and societal influences on research.
Purpose of the Study:
- To report on contributions from LiveMEEG 2020 and new literature regarding GSP in MEEG.
- To synthesize ongoing cultural shifts in GSP.
- To explore the evolving landscape of scientific integrity and its broader implications.
Main Methods:
- Review of LiveMEEG 2020 conference contributions.
- Analysis of recent scientific literature on GSP.
- Synthesis of findings related to cognitive biases, pre-registration, collaborative tools, data management, and ethical considerations.
Main Results:
- GSP evolution includes addressing cognitive biases and logical fallacies through tools like pre-registration.
- New frameworks support collaborative and reproducible MEEG research, from data acquisition to sharing.
- Ethical considerations and societal engagement are increasingly integral to GSP.
Conclusions:
- Current GSP in MEEG research is shifting towards collective and cooperative approaches.
- This shift is driven by the need for reproducibility, collaboration, and engagement with societal challenges.
- Emphasis on intangible GSP aspects enhances research quality and societal relevance.
