All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
- Journals
-
- Active Journals
- Find a Journal
- Proceedings Series
-
- Topics
- Information
-
- For Authors
- For Reviewers
- For Editors
- For Librarians
- For Publishers
- For Societies
- For Conference Organizers
- Open Access Policy
- Institutional Open Access Program
- Special Issues Guidelines
- Editorial Process
- Research and Publication Ethics
- Article Processing Charges
- Awards
- Testimonials
-
- Author Services
- Initiatives
-
- Sciforum
- MDPI Books
- Preprints.org
- Scilit
- SciProfiles
- Encyclopedia
- JAMS
- Proceedings Series
-
- About
-
- Overview
- Contact
- Careers
- News
- Press
- Blog
-
Sign In / Sign Up Submit
Journals
Sensors
Volume 24
Issue 15
10.3390/s24154979
Version Notes
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu
Article Menu
- Academic Editor
Chang-Hwan Im
- Subscribe SciFeed
- Related Info Link
- More by Authors Links
announcement Help format_quote Cite
Need Help?
Support
Find support for a specific problem in the support section of our website.
Get Support
Feedback
Please let us know what you think of our products and services.
Give Feedback
Information
Visit our dedicated information section to learn more about MDPI.
Get Information
Open AccessArticle
Sensors 2024, 24(15), 4979; https://doi.org/10.3390/s24154979 (registeringDOI)
| Action | Date | Notes | Link |
|---|---|---|---|
| article xml file uploaded | 1 August 2024 09:41 CEST | Original file | - |
| article xml uploaded. | 1 August 2024 09:41 CEST | Update | https://www.mdpi.com/1424-8220/24/15/4979/xml |
| article pdf uploaded. | 1 August 2024 09:41 CEST | Version of Record | https://www.mdpi.com/1424-8220/24/15/4979/pdf |
| article html file updated | 1 August 2024 09:42 CEST | Original file | https://www.mdpi.com/1424-8220/24/15/4979/html |
Cite
Export citation file: BibTeX | EndNote | RIS
MDPI and ACS Style
Falivene, A.; Cantiani, C.; Dondena, C.; Riboldi, E.M.; Riva, V.; Piazza, C. EEG Functional Connectivity Analysis for the Study of the Brain Maturation in the First Year of Life. Sensors 2024, 24, 4979. https://doi.org/10.3390/s24154979
AMA Style
Falivene A, Cantiani C, Dondena C, Riboldi EM, Riva V, Piazza C. EEG Functional Connectivity Analysis for the Study of the Brain Maturation in the First Year of Life. Sensors. 2024; 24(15):4979. https://doi.org/10.3390/s24154979
Chicago/Turabian Style
Falivene, Anna, Chiara Cantiani, Chiara Dondena, Elena Maria Riboldi, Valentina Riva, and Caterina Piazza. 2024. "EEG Functional Connectivity Analysis for the Study of the Brain Maturation in the First Year of Life" Sensors 24, no. 15: 4979. https://doi.org/10.3390/s24154979
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
Article Metrics
Article metric data becomes available approximately 24 hours after publication online.
Sensors, EISSN 1424-8220, Published by MDPI
RSS Content Alert
Further Information
Article Processing Charges Pay an Invoice Open Access Policy Contact MDPI Jobs at MDPI
Guidelines
For Authors For Reviewers For Editors For Librarians For Publishers For Societies For Conference Organizers
MDPI Initiatives
Sciforum MDPI Books Preprints.org Scilit SciProfiles Encyclopedia JAMS Proceedings Series
© 1996-2024 MDPI (Basel, Switzerland) unless otherwise stated
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Terms and Conditions Privacy Policy
