Brain volumetric changes in the general population following the COVID-19 outbreak and lockdown

  1. Tom Salomon
  2. Adi Cohen
  3. Daniel Barazany
  4. Gal Ben-Zvi
  5. Rotem Botvinik-Nezer
  6. Rani Gera
  7. Shiran Oren
  8. Dana Roll
  9. Gal Rozic
  10. Anastasia Saliy
  11. Niv Tik
  12. Galia Tsarfati
  13. Ido Tavor
  14. Tom Schonberg
  15. Yaniv Assaf

Reviewed by

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1016/j.neuroimage.2021.118311
  2. ScreenIT

    SciScore for 10.1101/2020.09.08.285007: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    It should be noted that the FreeSurfer pipeline can analyze only cortical surface, thus the analysis did not include subcortical regions of the amygdala and putamen.
    FreeSurfer
    suggested: (FreeSurfer, RRID:SCR_001847)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2020.09.08.285007 on bioRxiv