In electrophysiological research, researchers have to make a myriad of decisions when going from raw data to interpretations (“analytic flexibility”), including many preprocessing steps and possible analysis methods. These decisions are not always transparently reported. In addition, researchers’ decisions might be unconsciously biased by seeing the data. In this symposium, we aim to (1) demonstrate how variable preprocessing and analysis pipelines in EEG research are and how this influences study outcomes, and (2) discuss possibilities to increase transparent reporting and decrease bias in making analytic decisions, and, thereby, increase reproducibility of EEG studies. Regarding the first aim, two of the talks in this symposium will demonstrate the high variability of methodological choices in EEG research and how this influences results, using both local and large-scale (“many analysts”) approaches. Turning to the second aim, discussing possible solutions, the third talk will focus on how preregistration can help increase transparency in EEG research and reduce researcher biases in analytic choices. The fourth talk will discuss another way to increase transparency, through developing concrete reporting guidelines in the form of checklists. Finally, we will discuss the current state of transparency and reproducibility in EEG research. We will highlight both possibilities and challenges in the adoption of reproducible and transparent practices in the EEG community, as well as the growing role of collaborative efforts in our research field.
Zeitfenster der Veranstaltung (1)
Perspectives in neuroscience
Chair(s): Gisela H Govaart (Leipzig; Berlin), Mariella Paul (Göttingen)
Presenter(s): Aislinn Sandre (Montreal, Canada), Johannes Algermissen (Nijmegen, Netherlands), Gisela H Govaart (Leipzig; Berlin), Mariella Paul (Göttingen), Anđela Šoškić (Belgrade, Serbia)