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Analysis of institutional authors

Torao-Angosto MAuthorManasanch AAuthorSanchez-Vives MvCorresponding Author
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Article

Up and Down States During Slow Oscillations in Slow-Wave Sleep and Different Levels of Anesthesia

Publicated to:Frontiers In Systems Neuroscience. 15 609645- - 2021-02-09 15(), DOI: 10.3389/fnsys.2021.609645

Authors: Torao-Angosto, Melody; Manasanch, Arnau; Mattia, Maurizio; Sanchez-Vives, Maria V

Affiliations

Institució Catalana de Recerca i Estudis Avançats - Author
Institut d'Investigacions Biomèdiques August Pi i Sunyer - IDIBAPS - Author
Istituto Superiore di Sanita - Author
‎ Catalan Inst Res & Adv Studies ICREA, Barcelona, Spain - Author
‎ Inst Invest Biomed August Pi i Sunyer IDIBAPS, Barcelona, Spain - Author
‎ Ist Super Sanita, Natl Ctr Radioprotect & Computat Phys, Rome, Italy - Author
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Abstract

© Copyright © 2021 Torao-Angosto, Manasanch, Mattia and Sanchez-Vives. Slow oscillations are a pattern of synchronized network activity generated by the cerebral cortex. They consist of Up and Down states, which are periods of activity interspersed with periods of silence, respectively. However, even when this is a unique dynamic regime of transitions between Up and Down states, this pattern is not constant: there is a range of oscillatory frequencies (0.1–4 Hz), and the duration of Up vs. Down states during the cycles is variable. This opens many questions. Is there a constant relationship between the duration of Up and Down states? How much do they vary across conditions and oscillatory frequencies? Are there different sub regimes within the slow oscillations? To answer these questions, we aimed to explore a concrete aspect of slow oscillations, Up and Down state durations, across three conditions: deep anesthesia, light anesthesia, and slow-wave sleep (SWS), in the same chronically implanted rats. We found that light anesthesia and SWS have rather similar properties, occupying a small area of the Up and Down state duration space. Deeper levels of anesthesia occupy a larger region of this space, revealing that a large variety of Up and Down state durations can emerge within the slow oscillatory regime. In a network model, we investigated the network parameters that can explain the different points within our bifurcation diagram in which slow oscillations are expressed.

Keywords
AnesthesiaCerebral cortexCortical modelDown statesSleepSlow oscillationsSlow-wave sleepUp states

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Frontiers In Systems 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, 2021, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Cognitive Neuroscience. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Neurosciences.

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: 2.76. 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: 1.97 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 11.46 (source consulted: Dimensions May 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-05-03, the following number of citations:

  • WoS: 23
  • Scopus: 24
  • Europe PMC: 7
  • Google Scholar: 32
  • OpenCitations: 30
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 2025-05-03:

  • 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: 69.
  • 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: 69 (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: 12.5.
  • The number of mentions on the social network X (formerly Twitter): 7 (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: Italy.

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 (Torao Angosto, Melodia) and Last Author (Sanchez Vives, Maria V.).

the author responsible for correspondence tasks has been Sanchez Vives, Maria V..