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

Niso, Guiomar; Krol, Laurens R.; Combrisson, Etienne; Dubarry, Anne-Sophie; Elliott, Madison; Clément, François; Héjja-Brichard, Yseult; Herbst, Sophie K.; Jerbi, Karim; Ković, Vanja; Lehongre, Katia; Luck, Steven J.; Mercier, Manuel; Pavlov, Yuri G.; Puce, Aina; Schettino, Antonio; Schön, Daniele; Sinnott‐Armstrong, Walter; Somon, Bertille; Šoškić, Аnđela; Styles, Suzy J; Tibon, Roni; Vilas, Martina G.; Vliet, Marijn van; Chaumon, Maximilien

doi:10.1016/j.neuroimage.2022.119056

Cited by 35 publications

(19 citation statements)

References 258 publications

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“…We used MEG to obtain brain signals with high spatiotemporal resolution (Baillet, 2017; Niso et al, 2022) that could inform us about hand use and integration of hand information into movement plans. To achieve this, we asked participants to perform a pro-/anti-pointing task in the MEG, using the left and right hands in separate blocks of trials.…”

Section: Methodsmentioning

confidence: 99%

Parieto-frontal Oscillations Show Hand Specific Interactions with Top-Down Movement Plans

Blohm

Cheyne

Crawford

2022

Preprint

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To generate a hand-specific reach plan, the brain must integrate hand-specific signals with the desired movement strategy. Although various neurophysiology / imaging studies have investigated hand-target interactions in simple reach-to-target tasks, the whole-brain timing and distribution of this process remain unclear, especially for more complex, instruction-dependent motor strategies. Previously, we showed that a pro/anti-pointing instruction influences magnetoencephalographic (MEG) signals in frontal cortex that then propagate recurrently through parietal cortex (Blohm et al., 2019). Here, we contrasted left versus right hand pointing in the same task to investigate 1) which cortical regions of interest show hand specificity, and 2) which of those areas interact with the instructed motor plan. Eight bilateral areas – the parietooccipital junction (POJ), superior parietooccipital cortex (SPOC), supramarginal gyrus (SMG), middle / anterior interparietal sulcus (mIPS/aIPS), primary somatosensory / motor cortex (S1/M1), and dorsal premotor cortex (PMd) – showed hand-specific changes in beta band power, with four of these (M1, S1, SMG, aIPS) showing robust activation before movement onset. M1, SMG, SPOC, and aIPS showed significant interactions between contralateral hand specificity and the instructed motor plan, but not with bottom-up target signals. Separate hand / motor signals emerged relatively early and lasted through execution, whereas hand-motor interactions only occurred close to movement onset. Taken together with our previous results, these findings show that instruction-dependent motor plans emerge in frontal cortex and interact recurrently with hand-specific parietofrontal signals before movement onset to produce hand-specific motor behaviors.Impact StatementThe brain must generate different motor signals, depending which hand is used. The distribution and timing of hand use / instructed motor plan integration is not understood at the whole-brain level. Using whole-brain MEG recordings we show that different sub-networks involved in action planning code for hand usage (alpha and beta frequencies) and integrating hand use information into a hand-specific motor plan (beta band). The timing of these signals indicates that frontal cortex first creates a general motor plan and then integrates hand-specific frontoparietal information to produce a hand-specific motor plan.

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Section: Methodsmentioning

confidence: 99%

Parieto-frontal Oscillations Show Hand Specific Interactions with Top-Down Movement Plans

Blohm

Cheyne

Crawford

2022

Preprint

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“…Documenting study methodology before data collection is not only helpful for improving transparency, but also for practising careful planning by reducing unnoticed flexibility. Similarly, when documenting completed studies, promoting good scientific practice (Niso et al, 2022) of sharing a detailed analysis pipeline will benefit both researchers interested in replications and the authors themselves when designing new studies based on previous findings (Garrett-Ruffin et al, 2021). Finally, leveraging data from the ARTEM-IS reporting template could inspire future replication studies and promote open science.…”

Section: General Conclusionmentioning

confidence: 99%

“…Given that the choices made during preprocessing and analysis of ERP data can have an effect on the results, it is critical that all choices are transparently reported to allow for reproducibility and replicability (Niso et al, 2022). With the hope of facilitating transparent and complete reporting of methodological details, several ERP reporting guidelines have been published (Donchin et al, 1977;Keil et al, 2014;C.…”

Section: Introductionmentioning

confidence: 99%

“…Pernet et al, 2020;Picton et al, 2000). The trend towards transparency in ERP and EEG research is part of a broader effort to increase transparency and reproducibility of the scientific record in the past two decades (e.g., Foster & Deardorff, 2017;Larson & Moser, 2017;Niso et al, 2022;Open Science Collaboration, 2015;Wilkinson et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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ARTEM-IS for ERP: Agreed Reporting Template for EEG Methodology - International Standard for documenting studies on Event-Related Potentials

Šoškić¹,

Ković²,

Algermissen³

et al. 2023

Preprint

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Given that the choices made during recording, preprocessing and analysis of event-related potentials (ERP) data can affect study outcomes, it is critical that they are transparently reported to allow for reproducibility and replicability. Yet, systematic reviews of reporting practices in the field have shown that journal articles do not meet this goal and that guidelines for writing them better have not resulted in a sufficient improvement to reporting transparency.ARTEM-IS aims to address this issue by building dynamic, interactive web applications that support documenting information required by existing publication guidelines in the form of a standardised metadata template. Completing an ARTEM-IS form results in a human-reader-friendly PDF and a machine-readable JSON summary of methodological information, which allows for a level of reporting precision higher than what is typically found in journal articles. These can be used as supplements to a publication, as a memory aid when writing a paper, or as records that allow easier metadata extraction in comparison to verbal descriptions in papers.Here, we present the ARTEM-IS for ERP, which supports describing a typical ERP study, including most of its core methodological aspects (study description, experimental design, hardware, data acquisition, pre-processing, measurement, visualisation, additional comments). We discuss the current contents of the form, web application functionalities, current limitations, and potential directions for future developments. In addition, the process of building the form contents and the web application through a collaborative grassroots initiative is described. Finally, we argue that a wider adoption of ARTEM-IS can bring benefits to different stakeholders: researchers themselves or their collaborators, especially on large-scale projects, reviewers, readers of a paper, and the scientific community at large.

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“…1,2 Replicability and reproducibility issues due to undisclosed analytical flexibility have been intensively discussed and demonstrated for several brain imaging techniques, including hemodynamic functional magnetic resonance imaging (fMRI) [3][4][5] and electroencephalography. 6,7 Similarly, the impact of different design and analytical choices in functional near-infrared spectroscopy (fNIRS) research has recently been a focus. 8,9 When undisclosed, these bear the risk of questionable research practices (QRPs) and may imperil the reproducibility and replicability of published results.…”

Section: Introductionmentioning

confidence: 99%

Using preregistration as a tool for transparent fNIRS study design

et al. 2023

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Significance: The expansion of functional near-infrared spectroscopy (fNIRS) methodology and analysis tools gives rise to various design and analytical decisions that researchers have to make. Several recent efforts have developed guidelines for preprocessing, analyzing, and reporting practices. For the planning stage of fNIRS studies, similar guidance is desirable. Study preregistration helps researchers to transparently document study protocols before conducting the study, including materials, methods, and analyses, and thus, others to verify, understand, and reproduce a study. Preregistration can thus serve as a useful tool for transparent, careful, and comprehensive fNIRS study design.Aim: We aim to create a guide on the design and analysis steps involved in fNIRS studies and to provide a preregistration template specified for fNIRS studies.Approach: The presented preregistration guide has a strong focus on fNIRS specific requirements, and the associated template provides examples based on continuous-wave (CW) fNIRS studies conducted in humans. These can, however, be extended to other types of fNIRS studies.Results: On a step-by-step basis, we walk the fNIRS user through key methodological and analysis-related aspects central to a comprehensive fNIRS study design. These include items specific to the design of CW, task-based fNIRS studies, but also sections that are of general importance, including an in-depth elaboration on sample size planning.Conclusions: Our guide introduces these open science tools to the fNIRS community, providing researchers with an overview of key design aspects and specification recommendations for comprehensive study planning. As such it can be used as a template to preregister fNIRS studies or merely as a tool for transparent fNIRS study design.

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

Cited by 35 publications

References 258 publications

Parieto-frontal Oscillations Show Hand Specific Interactions with Top-Down Movement Plans

Parieto-frontal Oscillations Show Hand Specific Interactions with Top-Down Movement Plans

ARTEM-IS for ERP: Agreed Reporting Template for EEG Methodology - International Standard for documenting studies on Event-Related Potentials

Using preregistration as a tool for transparent fNIRS study design

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