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Open Access

Correction

Correction: Full-day sleep pattern analysis in common mental disorders: Leveraging highly discrepant recordings from two consumer tracking devices

  • Óscar Jiménez Rama,
  • Antonio Artés,
  • Enrique Baca-García,
  • Jorge López-Castromán

The following information is missing from the Funding statement: This work was supported through the R&D activities program with reference TEC-2024/COM-89 and acronym IDEA-CM, granted by the Community of Madrid through the Directorate-General for Research and Technological Innovation under Order 2402/2024, dated May 31. Additionally, this work was supported by the Industrial Doctorates Programme of the Community of Madrid under project IND2022/TIC-23550. AAR is part of the ELLIS Unit Madrid (European Laboratory for Learning and Intelligent Systems) funded by the Community of Madrid.

Reference

  1. 1. Jiménez Rama Ó, Artés A, Baca-García E, López-Castromán J. Full-day sleep pattern analysis in common mental disorders: Leveraging highly discrepant recordings from two consumer tracking devices. PLoS One. 2026;21(4):e0346876. pmid:41955270

Citation: Jiménez Rama Ó, Artés A, Baca-García E, López-Castromán J (2026) Correction: Full-day sleep pattern analysis in common mental disorders: Leveraging highly discrepant recordings from two consumer tracking devices. PLoS One 21(5): e0349346. https://doi.org/10.1371/journal.pone.0349346

Published: May 12, 2026

Copyright: © 2026 Jiménez Rama et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.