Good scientific practice in EEG and MEG research: Progress and perspectives

NeuroImage, Journal Year: 2022, Volume and Issue: 257, P. 119056 - 119056

Published: March 10, 2022

Good scientific practice (GSP) refers to both explicit and implicit rules, recommendations, guidelines that help scientists produce work is of the highest quality at any given time, efficiently share with community for further scrutiny or utilization. For experimental research using magneto- electroencephalography (MEEG), GSP includes specific standards technical competence, which are periodically updated adapted new findings. However, also needs be regularly revisited in a broader light. At LiveMEEG 2020 conference, reflection on was fostered included explicitly documented advances, but emphasized intangible GSP: general awareness personal, organizational, societal realities how they can influence MEEG research. This article provides an extensive report most contributions literature, additional aim synthesize ongoing cultural changes GSP. It first covers respect cognitive biases logical fallacies, pre-registration as tool avoid those other early pitfalls, number resources enable collaborative reproducible approach minimize misconceptions. Second, it data acquisition, analysis, reporting, sharing, including tools frameworks support work. Finally, considered light ethical implications resulting responsibility have engage challenges. Considering among things benefits peer review open access all stages, need coordinate larger international projects, complexity subject matter, today's prioritization fairness, privacy, environment, we find current tends favor collective cooperative work, reasons.

Language: Английский

Preprocessing choices for P3 analyses with mobile EEG: A systematic literature review and interactive exploration

Psychophysiology, Journal Year: 2024, Volume and Issue: 62(1)

Published: Dec. 19, 2024

Preprocessing is necessary to extract meaningful results from electroencephalography (EEG) data. With many possible preprocessing choices, their impact on outcomes fundamental. While previous studies have explored the effects of stationary EEG data, this research delves into mobile EEG, where complex processing address motion artifacts. Specifically, we describe choices reported for analyzing P3 event-related potential (ERP) during walking and standing. A systematic review 258 walking, identified 27 meeting inclusion criteria. Two independent coders extracted in each study. Analysis revealed commonalities differences, such as widespread use offline filters but limited application line noise correction (3 studies). Notably, 59% involved manual steps, 56% omitted reporting critical parameters at least one step. All employed unique strategies. These findings align with results, emphasizing necessity standardized research. We implemented an interactive visualization tool (Shiny app) aid exploration landscape. The app allows users structure literature regarding different enter planned methods, compare them literature. could be utilized examine how these understand robustness various options. hope increase awareness influence decisions advocate comprehensive standards foster reproducibility

Language: Английский

Tower of Babel or Lighthouse? The State of Research on Neuroelectric Correlates of Human Sexuality: A Response to the Commentaries

Archives of Sexual Behavior, Journal Year: 2022, Volume and Issue: 52(2), P. 611 - 615

Published: Dec. 8, 2022

Language: Английский