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Reliability and accuracy of EEG interpretation for estimating age in preterm infants
OBJECTIVES: To determine the accuracy of, and agreement among, EEG and aEEG readers’ estimation of maturity and a novel computational measure of functional brain age (FBA) in preterm infants. METHODS: Seven experts estimated the postmenstrual ages (PMA) in a cohort of recordings from preterm infants...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480927/ https://www.ncbi.nlm.nih.gov/pubmed/32767645 http://dx.doi.org/10.1002/acn3.51132 |
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author | Stevenson, Nathan J. Tataranno, Maria‐Luisa Kaminska, Anna Pavlidis, Elena Clancy, Robert R. Griesmaier, Elke Roberts, James A. Klebermass‐Schrehof, Katrin Vanhatalo, Sampsa |
author_facet | Stevenson, Nathan J. Tataranno, Maria‐Luisa Kaminska, Anna Pavlidis, Elena Clancy, Robert R. Griesmaier, Elke Roberts, James A. Klebermass‐Schrehof, Katrin Vanhatalo, Sampsa |
author_sort | Stevenson, Nathan J. |
collection | PubMed |
description | OBJECTIVES: To determine the accuracy of, and agreement among, EEG and aEEG readers’ estimation of maturity and a novel computational measure of functional brain age (FBA) in preterm infants. METHODS: Seven experts estimated the postmenstrual ages (PMA) in a cohort of recordings from preterm infants using cloud‐based review software. The FBA was calculated using a machine learning‐based algorithm. Error analysis was used to determine the accuracy of PMA assessments and intraclass correlation (ICC) was used to assess agreement between experts. RESULTS: EEG recordings from a PMA range 25 to 38 weeks were successfully interpreted. In 179 recordings from 62 infants interpreted by all human readers, there was moderate agreement between experts (aEEG ICC = 0.724; 95%CI:0.658–0.781 and EEG ICC = 0.517; 95%CI:0.311–0.664). In 149 recordings from 61 infants interpreted by all human readers and the FBA algorithm, random and systematic errors in visual interpretation of PMA were significantly higher than the computational FBA estimate. Tracking of maturation in individual infants showed stable FBA trajectories, but the trajectories of the experts’ PMA estimate were more likely to be obscured by random errors. The accuracy of visual interpretation of PMA estimation was compromised by neurodevelopmental outcome for both aEEG and EEG review. INTERPRETATION: Visual assessment of infant maturity is possible from the EEG or aEEG, with an average of human experts providing the highest accuracy. Tracking PMA of individual infants was hampered by errors in experts’ estimates. FBA provided the most accurate maturity assessment and has potential as a biomarker of early outcome. |
format | Online Article Text |
id | pubmed-7480927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74809272020-09-16 Reliability and accuracy of EEG interpretation for estimating age in preterm infants Stevenson, Nathan J. Tataranno, Maria‐Luisa Kaminska, Anna Pavlidis, Elena Clancy, Robert R. Griesmaier, Elke Roberts, James A. Klebermass‐Schrehof, Katrin Vanhatalo, Sampsa Ann Clin Transl Neurol Research Articles OBJECTIVES: To determine the accuracy of, and agreement among, EEG and aEEG readers’ estimation of maturity and a novel computational measure of functional brain age (FBA) in preterm infants. METHODS: Seven experts estimated the postmenstrual ages (PMA) in a cohort of recordings from preterm infants using cloud‐based review software. The FBA was calculated using a machine learning‐based algorithm. Error analysis was used to determine the accuracy of PMA assessments and intraclass correlation (ICC) was used to assess agreement between experts. RESULTS: EEG recordings from a PMA range 25 to 38 weeks were successfully interpreted. In 179 recordings from 62 infants interpreted by all human readers, there was moderate agreement between experts (aEEG ICC = 0.724; 95%CI:0.658–0.781 and EEG ICC = 0.517; 95%CI:0.311–0.664). In 149 recordings from 61 infants interpreted by all human readers and the FBA algorithm, random and systematic errors in visual interpretation of PMA were significantly higher than the computational FBA estimate. Tracking of maturation in individual infants showed stable FBA trajectories, but the trajectories of the experts’ PMA estimate were more likely to be obscured by random errors. The accuracy of visual interpretation of PMA estimation was compromised by neurodevelopmental outcome for both aEEG and EEG review. INTERPRETATION: Visual assessment of infant maturity is possible from the EEG or aEEG, with an average of human experts providing the highest accuracy. Tracking PMA of individual infants was hampered by errors in experts’ estimates. FBA provided the most accurate maturity assessment and has potential as a biomarker of early outcome. John Wiley and Sons Inc. 2020-08-07 /pmc/articles/PMC7480927/ /pubmed/32767645 http://dx.doi.org/10.1002/acn3.51132 Text en © 2020 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Stevenson, Nathan J. Tataranno, Maria‐Luisa Kaminska, Anna Pavlidis, Elena Clancy, Robert R. Griesmaier, Elke Roberts, James A. Klebermass‐Schrehof, Katrin Vanhatalo, Sampsa Reliability and accuracy of EEG interpretation for estimating age in preterm infants |
title | Reliability and accuracy of EEG interpretation for estimating age in preterm infants |
title_full | Reliability and accuracy of EEG interpretation for estimating age in preterm infants |
title_fullStr | Reliability and accuracy of EEG interpretation for estimating age in preterm infants |
title_full_unstemmed | Reliability and accuracy of EEG interpretation for estimating age in preterm infants |
title_short | Reliability and accuracy of EEG interpretation for estimating age in preterm infants |
title_sort | reliability and accuracy of eeg interpretation for estimating age in preterm infants |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480927/ https://www.ncbi.nlm.nih.gov/pubmed/32767645 http://dx.doi.org/10.1002/acn3.51132 |
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