Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-024-60622-5, published online 13 May 2024 The Acknowledgements section in the original version of this Article was incomplete. “This study was supported by #NEXTGENERATIONEU (NGEU) and funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), project MNESYS (PE0000006)—A Multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022). This study was also funded by “Precision medicine in epilepsy: definition of a predictive model of epilepsy outcome and creation of an automated tool based on machine learning.” Ricerca 5x1000 Bambino Gesu’ Children’ Hospital. Project code: 202205.” now reads: “This study was supported by #NEXTGENERATIONEU (NGEU) and funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), project MNESYS (PE0000006)—A Multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022). This study was also funded by “Precision medicine in epilepsy: definition of a predictive model of epilepsy outcome and creation of an automated tool based on machine learning.” Ricerca 5x1000 Bambino Gesu’ Children’ Hospital. Project code: 202205. This work was also supported by the Italian Ministry of Health with 'Current Research funds'.” The original Article has been corrected.

Correction to: The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach (Scientific Reports, (2024), 14, 1, (10887), 10.1038/s41598-024-60622-5) / Mercier, M.; Pepi, C.; Carf-Pavia, G.; De Benedictis, A.; Espagnet, M. C. R.; Pirani, G.; Vigevano, F.; Marras, C. E.; Specchio, N.; De Palma, L.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 14:1(2024). [10.1038/s41598-024-69706-8]

Correction to: The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach (Scientific Reports, (2024), 14, 1, (10887), 10.1038/s41598-024-60622-5)

Mercier M.
Primo
Conceptualization
;
2024

Abstract

Correction to: Scientific Reportshttps://doi.org/10.1038/s41598-024-60622-5, published online 13 May 2024 The Acknowledgements section in the original version of this Article was incomplete. “This study was supported by #NEXTGENERATIONEU (NGEU) and funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), project MNESYS (PE0000006)—A Multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022). This study was also funded by “Precision medicine in epilepsy: definition of a predictive model of epilepsy outcome and creation of an automated tool based on machine learning.” Ricerca 5x1000 Bambino Gesu’ Children’ Hospital. Project code: 202205.” now reads: “This study was supported by #NEXTGENERATIONEU (NGEU) and funded by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), project MNESYS (PE0000006)—A Multiscale integrated approach to the study of the nervous system in health and disease (DN. 1553 11.10.2022). This study was also funded by “Precision medicine in epilepsy: definition of a predictive model of epilepsy outcome and creation of an automated tool based on machine learning.” Ricerca 5x1000 Bambino Gesu’ Children’ Hospital. Project code: 202205. This work was also supported by the Italian Ministry of Health with 'Current Research funds'.” The original Article has been corrected.
2024
AI, EEG
01 Pubblicazione su rivista::01a Articolo in rivista
Correction to: The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach (Scientific Reports, (2024), 14, 1, (10887), 10.1038/s41598-024-60622-5) / Mercier, M.; Pepi, C.; Carf-Pavia, G.; De Benedictis, A.; Espagnet, M. C. R.; Pirani, G.; Vigevano, F.; Marras, C. E.; Specchio, N.; De Palma, L.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 14:1(2024). [10.1038/s41598-024-69706-8]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1753248
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