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Grant support

This work was supported a Discovery Grant from the Natural Science and Engineering Research Council of Canada (436355-13), the NIH (1R01EB026299-01), and a Platform Support Grant from the Brain Canada Foundation (PSG15-3755) to SB. GN received financial support from the AXA Research Fund.

Analysis of institutional authors

Niso, GuiomarAuthorSantos, AndresAuthor

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Article

Brainstorm Pipeline Analysis of Resting-State Data From the Open MEG Archive

Publicated to:Frontiers In Neuroscience. 13 (284): 284- - 2019-04-05 13(284), DOI: 10.3389/fnins.2019.00284

Authors: Niso, G; Tadel, F; Bock, E; Cousineau, M; Santos, A; Baillet, S

Affiliations

Biomed Res Networking Ctr Bioengn Biomat & Nanome - Author
McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal - Author
Univ Grenoble Alpes, Grenoble Inst Neurosci - Author

Abstract

We present a simple, reproducible analysis pipeline applied to resting-state magnetoencephalography (MEG) data from the Open MEG Archive (OMEGA). The data workflow was implemented with Brainstorm, which like OMEGA is free and openly accessible. The proposed pipeline produces group maps of ongoing brain activity decomposed in the typical frequency bands of electrophysiology. The procedure is presented as a technical proof of concept for streamlining a broader range and more sophisticated studies of resting-state electrophysiological data. It also features the recently introduced extension of the brain imaging data structure (BIDS) to MEG data, highlighting the scalability and generalizability of Brainstorm analytical pipelines to other, and potentially larger data volumes.

Keywords

analytical pipelinesmagnetoencephalographymeg-bidsopen dataopen sciencepower spectral densityreproducibilityAlphaAnalytical pipelinesDiseaseDynamicsMagnetoencephalographyMeg-bidsNetworksOpen dataOpen sciencePower spectral densityReproducibilityResting-state

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Frontiers In Neuroscience due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2019, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Neuroscience (Miscellaneous).

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.99. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 2.69 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 16.69 (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-16, the following number of citations:

  • WoS: 51
  • Scopus: 57
  • Europe PMC: 7
  • Google Scholar: 68
  • OpenCitations: 57

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-16:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 120.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 120 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 15.1.
  • The number of mentions on the social network Facebook: 5 (Altmetric).
  • The number of mentions on the social network X (formerly Twitter): 19 (Altmetric).
  • The number of mentions on Wikipedia: 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Canada; France.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (NISO GALAN, JULIA GUIOMAR) .