Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopy
Abstract Hypoxic-ischemic encephalopathy (HIE) results from a lack of oxygen to the brain during the perinatal period. HIE can lead to mortality and various acute and long-term morbidities. Improved bedside monitoring methods are needed to identify biomarkers of brain health. Functional near-infrare...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
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Nature Portfolio
2024-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-53256-0 |
| _version_ | 1797275008033095680 |
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| author | Lingkai Tang Lilian M. N. Kebaya Talal Altamimi Alexandra Kowalczyk Melab Musabi Sriya Roychaudhuri Homa Vahidi Paige Meyerink Sandrine de Ribaupierre Soume Bhattacharya Leandro Tristao Abi Ramia de Moraes Keith St. Lawrence Emma G. Duerden |
| author_facet | Lingkai Tang Lilian M. N. Kebaya Talal Altamimi Alexandra Kowalczyk Melab Musabi Sriya Roychaudhuri Homa Vahidi Paige Meyerink Sandrine de Ribaupierre Soume Bhattacharya Leandro Tristao Abi Ramia de Moraes Keith St. Lawrence Emma G. Duerden |
| author_sort | Lingkai Tang |
| collection | DOAJ |
| description | Abstract Hypoxic-ischemic encephalopathy (HIE) results from a lack of oxygen to the brain during the perinatal period. HIE can lead to mortality and various acute and long-term morbidities. Improved bedside monitoring methods are needed to identify biomarkers of brain health. Functional near-infrared spectroscopy (fNIRS) can assess resting-state functional connectivity (RSFC) at the bedside. We acquired resting-state fNIRS data from 21 neonates with HIE (postmenstrual age [PMA] = 39.96), in 19 neonates the scans were acquired post-therapeutic hypothermia (TH), and from 20 term-born healthy newborns (PMA = 39.93). Twelve HIE neonates also underwent resting-state functional magnetic resonance imaging (fMRI) post-TH. RSFC was calculated as correlation coefficients amongst the time courses for fNIRS and fMRI data, respectively. The fNIRS and fMRI RSFC maps were comparable. RSFC patterns were then measured with graph theory metrics and compared between HIE infants and healthy controls. HIE newborns showed significantly increased clustering coefficients, network efficiency and modularity compared to controls. Using a support vector machine algorithm, RSFC features demonstrated good performance in classifying the HIE and healthy newborns in separate groups. Our results indicate the utility of fNIRS-connectivity patterns as potential biomarkers for HIE and fNIRS as a new bedside tool for newborns with HIE. |
| first_indexed | 2024-03-07T15:08:11Z |
| format | Article |
| id | doaj.art-662ad034733e4e16a2c8cd80adec65bd |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-07T15:08:11Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-662ad034733e4e16a2c8cd80adec65bd2024-03-05T18:48:41ZengNature PortfolioScientific Reports2045-23222024-02-0114111310.1038/s41598-024-53256-0Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopyLingkai Tang0Lilian M. N. Kebaya1Talal Altamimi2Alexandra Kowalczyk3Melab Musabi4Sriya Roychaudhuri5Homa Vahidi6Paige Meyerink7Sandrine de Ribaupierre8Soume Bhattacharya9Leandro Tristao Abi Ramia de Moraes10Keith St. Lawrence11Emma G. Duerden12Biomedical Engineering, Faculty of Engineering, Western UniversityNeuroscience, Schulich Faculty of Medicine and Dentistry, Western UniversityNeonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western UniversityNeonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western UniversityNeonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western UniversityNeonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western UniversityNeuroscience, Schulich Faculty of Medicine and Dentistry, Western UniversityNeonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western UniversityNeuroscience, Schulich Faculty of Medicine and Dentistry, Western UniversityNeonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western UniversityMedical Imaging, London Health Sciences Centre, Western UniversityBiomedical Engineering, Faculty of Engineering, Western UniversityBiomedical Engineering, Faculty of Engineering, Western UniversityAbstract Hypoxic-ischemic encephalopathy (HIE) results from a lack of oxygen to the brain during the perinatal period. HIE can lead to mortality and various acute and long-term morbidities. Improved bedside monitoring methods are needed to identify biomarkers of brain health. Functional near-infrared spectroscopy (fNIRS) can assess resting-state functional connectivity (RSFC) at the bedside. We acquired resting-state fNIRS data from 21 neonates with HIE (postmenstrual age [PMA] = 39.96), in 19 neonates the scans were acquired post-therapeutic hypothermia (TH), and from 20 term-born healthy newborns (PMA = 39.93). Twelve HIE neonates also underwent resting-state functional magnetic resonance imaging (fMRI) post-TH. RSFC was calculated as correlation coefficients amongst the time courses for fNIRS and fMRI data, respectively. The fNIRS and fMRI RSFC maps were comparable. RSFC patterns were then measured with graph theory metrics and compared between HIE infants and healthy controls. HIE newborns showed significantly increased clustering coefficients, network efficiency and modularity compared to controls. Using a support vector machine algorithm, RSFC features demonstrated good performance in classifying the HIE and healthy newborns in separate groups. Our results indicate the utility of fNIRS-connectivity patterns as potential biomarkers for HIE and fNIRS as a new bedside tool for newborns with HIE.https://doi.org/10.1038/s41598-024-53256-0 |
| spellingShingle | Lingkai Tang Lilian M. N. Kebaya Talal Altamimi Alexandra Kowalczyk Melab Musabi Sriya Roychaudhuri Homa Vahidi Paige Meyerink Sandrine de Ribaupierre Soume Bhattacharya Leandro Tristao Abi Ramia de Moraes Keith St. Lawrence Emma G. Duerden Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopy Scientific Reports |
| title | Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopy |
| title_full | Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopy |
| title_fullStr | Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopy |
| title_full_unstemmed | Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopy |
| title_short | Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopy |
| title_sort | altered resting state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high density functional near infrared spectroscopy |
| url | https://doi.org/10.1038/s41598-024-53256-0 |
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