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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.
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
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
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: 2.55 (source consulted: FECYT Feb 2024)
- Field Citation Ratio (FCR) from Dimensions: 16.99 (source consulted: Dimensions Jul 2025)
Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-08, the following number of citations:
- WoS: 51
- Scopus: 54
- Europe PMC: 7
- Google Scholar: 68
Impact and social visibility
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) .