The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices DOI Creative Commons
Vladimir Mikheev, René Skukies, Benedikt Ehinger

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 21, 2023

Abstract Electroencephalography (EEG) and event-related potentials (ERPs) have been analyzed for more than 70 years. Yet, we know little about how practitioners visualize the results of their analyses. Here, designed an online survey (n=213) targeting EEG from novice to expert level. Our primary goal is better understand visualization tools currently in use, challenges researchers face, experiences opinions on best display brain data. Finally, explored whether are aware general issues. In this paper provide overview most popular ERP tools. Then, found that community does not a unique nomenclature refer some plot types, propose set recommendations name types. analysis practitioner feature preferences software developers conclude with further practitioners.

Language: Английский

Wireless EEG: A survey of systems and studies DOI Creative Commons
Guiomar Niso, Elena Romero, Jeremy T. Moreau

et al.

NeuroImage, Journal Year: 2022, Volume and Issue: 269, P. 119774 - 119774

Published: Dec. 22, 2022

The popular brain monitoring method of electroencephalography (EEG) has seen a surge in commercial attention recent years, focusing mostly on hardware miniaturization. This led to varied landscape portable EEG devices with wireless capability, allowing them be used by relatively unconstrained users real-life conditions outside the laboratory. wide availability and relative affordability these provide low entry threshold for newcomers field research. large device variety at times opaque communication from their manufacturers, however, can make it difficult obtain an overview this landscape. Similarly, given breadth existing (wireless) knowledge research, challenging get started novel ideas. Therefore, paper first provides list 48 along number important-sometimes difficult-to-obtain-features characteristics enable side-by-side comparison, brief introduction each aspects how they may influence one's decision. Secondly, we have surveyed previous literature focused 110 high-impact journal publications making use EEG, which categorized application analyzed used, channels, sample size, participant mobility. Together, basis informed decision respect experimental precedents when considering new, At same time, background material commentary about pitfalls caveats regarding increasingly accessible line

Language: Английский

Citations

126

ARIADNE: A Scientific Navigator to Find Your Way Through the Resource Labyrinth of Psychological Sciences DOI Creative Commons
Helena Hartmann, Çağatay Necati Gürsoy, Alexander Lischke

et al.

Advances in Methods and Practices in Psychological Science, Journal Year: 2025, Volume and Issue: 8(1)

Published: Jan. 1, 2025

Performing high-quality research is a challenging endeavor, especially for early career researchers, in many fields of psychological science. Most characterized by experiential learning, which can be time-consuming, error-prone, and frustrating. Although most institutions provide selected resources to help researchers with their projects, these are often expensive, spread out, hard find, difficult compare one another terms reliability, validity, usability, practicability. A comprehensive overview that useful science missing. To address this issue, we created ARIADNE: living interactive resource navigator helps use search dynamically updated database ( https://igor-biodgps.github.io/ARIADNE ). In tutorial, aim guide through standard project using ARIADNE along the way. The open-access covers growing list each step project, from planning designing study, over collection analysis data, writing disseminating findings. We (a) step-by-step on how perform (in biological psychology neuroscience as case example but broad application neighboring fields) (b) an at different steps. By explicitly highlighting open-source resources, level playing field underprivileged countries or institutions, thereby facilitating open, fair, reproducible sciences.

Language: Английский

Citations

0

Garden of forking paths in ERP research – Effects of varying pre‐processing and analysis steps in an N400 experiment DOI
Аnđela Šoškić, Suzy J Styles, Emily S. Kappenman

et al.

Psychophysiology, Journal Year: 2024, Volume and Issue: 61(10)

Published: July 3, 2024

This study tackles the Garden of Forking Paths, as a challenge for replicability and reproducibility ERP studies. Here, we applied multiverse analysis to sample N400 dataset, donated by an independent research team. We analyzed this dataset using 14 pipelines selected showcase full range methodological variability found in literature systematic review approach. The were compared depth looking into statistical test outcomes, descriptive statistics, effect size, data quality, power. In way provide worked example how analytic flexibility can impact results fields with high dimensionality such ERP, when standard null-hypothesis significance testing. Out decisions that varied, high-pass filter cut-off, artifact removal method, baseline duration, reference, measurement latency locations, amplitude measure (peak vs. mean) all shown affect at least some outcome measures. Low-pass filtering was only step which did not notably influence any these shows even seemingly minor procedural deviations conclusions study. demonstrate power both identifying most reliable effects given study, providing insights consequences decisions.

Language: Английский

Citations

3

Garden of forking paths in ERP research – effects of varying pre-processing and analysis steps in an N400 experiment DOI Open Access
Аnđela Šoškić, Suzy J Styles, Emily S. Kappenman

et al.

Published: March 16, 2022

This paper tackles the Garden of Forking Paths (Gelman & Loken, 2013), as a challenge for replicability and reproducibility ERP studies. Here, we applied multiverse analysis to sample N400 dataset, donated by an independent research team. We analysed this dataset using 14 pipelines selected showcase full range methodological variability found in literature systematic review approach (Šoškić et al., 2022). The were compared depth looking into statistical test outcomes, descriptive statistics, effect size, data quality, power. In way provide worked example how analytic flexibility can impact results fields with high dimensionality such ERP, when standard null-hypothesis significance testing. Out decisions that varied, high-pass filter cut-off, artifact removal method, baseline duration, reference, measurement latency locations, amplitude measure (peak vs. mean) all shown affect at least some study outcome measures. Low-pass filtering was only step which did not notably influence any these shows even seemingly minor procedural deviations conclusions study. demonstrate power both identifying most reliable effects given study, providing insights consequences decisions.

Language: Английский

Citations

15

The multiverse of data preprocessing and analysis in graph-based fMRI: A systematic literature review of analytical choices fed into a decision support tool for informed analysis DOI Creative Commons
Daniel Kristanto,

Micha Burkhardt,

Christiane M. Thiel

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 15, 2024

Abstract The large number of different analytical choices researchers use may be partly responsible for the replication challenge in neuroimaging studies. For robustness analysis, knowledge full space options is essential. We conducted a systematic literature review to identify decisions functional data preprocessing and analysis emerging field cognitive network neuroscience. found 61 steps, with 17 them having debatable options. Scrubbing, global signal regression, spatial smoothing are among controversial steps. There no standardized order which steps applied, within several vary widely across By aggregating pipelines studies, we propose three taxonomic levels categorize choices: 1) inclusion or exclusion specific 2) distinct sequencing 3) parameter tuning To facilitate access data, developed decision support app high educational value called METEOR, allows explore as reference well-informed (multiverse) analysis. Highlights Data variability hinders replicability. Analysis multiple defensible examines results. identified 102 performing graph-fMRI Interactive visualization these available Shiny app.

Language: Английский

Citations

2

The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices DOI
Vladimir Mikheev, René Skukies, Benedikt Ehinger

et al.

Aperture Neuro, Journal Year: 2024, Volume and Issue: 4

Published: April 26, 2024

Electroencephalography (EEG) and event-related potentials (ERPs) have been analyzed for more than 70 years. Yet, we know little about how practitioners visualize the results of their analyses. Here, designed an online survey (n=213) targeting M/EEG from novice to expert level. Our primary goal is better understand visualization tools currently in use, challenges researchers face, experiences opinions on best display brain data. Finally, explored whether are aware general issues related uncertainty color maps. In this paper, provide overview most popular ERP tools. Additionally, found that community does not a unique nomenclature refer some plot types, propose set recommendations name types. analysis practitioner feature preferences software developers conclude with further practitioners.

Language: Английский

Citations

2

Preprocessing choices for P3 analyses with mobile EEG: A systematic literature review and interactive exploration DOI Creative Commons
Nadine Jacobsen, Daniel Kristanto,

Suong Welp

et al.

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

Citations

1

Preprocessing Choices for P3 Analyses with Mobile EEG: A Systematic Literature Review and Interactive Exploration DOI Creative Commons
Nadine Jacobsen, Daniel Kristanto,

Suong Welp

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 1, 2024

Abstract 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

Citations

0

ARIADNE – a scientific navigator to find your way through the resource labyrinth DOI Open Access
Helena Hartmann, Çağatay Necati Gürsoy, Alexander Lischke

et al.

Published: Oct. 18, 2023

Performing high-quality research is a challenging endeavor, especially for early career researchers (ECRs) in many fields of psychological science. Most characterized by experiential learning, which can be time-consuming, error-prone, and frustrating. While most institutions provide selected resources to help with their projects, these are often expensive, spread out, hard find, difficult compare one another terms reliability, validity, usability, practicability. A comprehensive overview that useful science missing. To address this issue, we created ARIADNE – living interactive resource navigator helps use search dynamically updated database resources. This tutorial aims at guiding through standard project using along the way. The open access covers growing list each step project, ranging from planning designing study, over collection analysis data, writing disseminating findings. We 1) step-by-step guide on how perform (in biological psychology neuroscience as case example, but broad application neighboring fields), 2) an different steps. By explicitly highlighting open-source resources, level playing field underprivileged countries or institutions, thereby facilitating open, fair, reproducible sciences.

Language: Английский

Citations

0

PhysioCHI: Towards Best Practices for Integrating Physiological Signals in HCI DOI Creative Commons
Francesco Chiossi, Ekaterina R. Stepanova, Benjamin Tag

et al.

arXiv (Cornell University), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Recently, we saw a trend toward using physiological signals in interactive systems. These signals, offering deep insights into users' internal states and health, herald new era for HCI. However, as this is an interdisciplinary approach, many challenges arise HCI researchers, such merging diverse disciplines, from understanding functions to design expertise. Also, isolated research endeavors limit the scope reach of findings. This workshop aims bridge these gaps, fostering cross-disciplinary discussions on usability, open science, ethics tied data In workshop, will discuss best practices embedding Through collective efforts, seek craft guiding document research, ensuring that it remains grounded shared principles methodologies field advances.

Language: Английский

Citations

0