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Kebaya LMN, Tang L, Altamimi T, Kowalczyk A, Musabi M, Roychaudhuri S, Vahidi H, Meyerink P, de Ribaupierre S, Bhattacharya S, de Moraes LTAR, Lawrence KS, Duerden EG. Altered functional connectivity in preterm neonates with intraventricular hemorrhage assessed using functional near-infrared spectroscopy. Sci Rep 2024; 14:22300. [PMID: 39333278 PMCID: PMC11437059 DOI: 10.1038/s41598-024-72515-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2024] [Accepted: 09/09/2024] [Indexed: 09/29/2024] Open
Abstract
Intraventricular hemorrhage (IVH) is a common neurological injury following very preterm birth. Resting-state functional connectivity (RSFC) using functional magnetic resonance imaging (fMRI) is associated with injury severity; yet, fMRI is impractical for use in intensive care settings. Functional near-infrared spectroscopy (fNIRS) measures RSFC through cerebral hemodynamics and has greater bedside accessibility than fMRI. We evaluated RSFC in preterm neonates with IVH using fNIRS and fMRI at term-equivalent age, and compared fNIRS connectivity between healthy newborns and those with IVH. Sixteen very preterm born neonates were scanned with fMRI and fNIRS. Additionally, fifteen healthy newborns were scanned with fNIRS. In preterms with IVH, fNIRS and fMRI connectivity maps were compared using Euclidean and Jaccard distances. The severity of IVH in relation to fNIRS-RSFC strength was examined using generalized linear models. fNIRS and fMRI RSFC maps showed good correspondence. Connectivity strength was significantly lower in healthy newborns (p-value = 0.023) and preterm infants with mild IVH (p-value = 0.026) compared to infants with moderate/severe IVH. fNIRS has potential to be a new bedside tool for assessing brain injury and monitoring cerebral hemodynamics, as well as a promising biomarker for IVH severity in very preterm born infants.
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Affiliation(s)
- Lilian M N Kebaya
- Neonatal-Perinatal Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Department of Paediatrics, Division of Neonatal-Perinatal Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Lingkai Tang
- Biomedical Engineering, Faculty of Engineering, Western University, London, ON, Canada
| | - Talal Altamimi
- Neonatal-Perinatal Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Alexandra Kowalczyk
- Neonatal-Perinatal Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Melab Musabi
- Neonatal-Perinatal Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Sriya Roychaudhuri
- Neonatal-Perinatal Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Homa Vahidi
- Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Paige Meyerink
- Neonatal-Perinatal Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Sandrine de Ribaupierre
- Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Biomedical Engineering, Faculty of Engineering, Western University, London, ON, Canada
- Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Soume Bhattacharya
- Neonatal-Perinatal Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | | | - Keith St Lawrence
- Biomedical Engineering, Faculty of Engineering, Western University, London, ON, Canada
- Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Emma G Duerden
- Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
- Biomedical Engineering, Faculty of Engineering, Western University, London, ON, Canada.
- Applied Psychology, Faculty of Education, Western University, 1137 Western Road, London, ON, N6G 1G7, Canada.
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Liu X, Mohtasebi M, Safavi P, Fathi F, Haratbar SR, Chen L, Chen J, Bada HS, Chen L, Abu Jawdeh EG, Yu G. Wearable fiber-free optical sensor for continuous monitoring of neonatal cerebral blood flow and oxygenation. Pediatr Res 2024; 96:486-493. [PMID: 38503982 DOI: 10.1038/s41390-024-03137-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 02/15/2024] [Accepted: 03/01/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND Unstable cerebral hemodynamics places preterm infants at high risk of brain injury. We adapted an innovative, fiber-free, wearable diffuse speckle contrast flow-oximetry (DSCFO) device for continuous monitoring of both cerebral blood flow (CBF) and oxygenation in neonatal piglets and preterm infants. METHODS DSCFO uses two small laser diodes as focused-point and a tiny CMOS camera as a high-density two-dimensional detector to detect spontaneous spatial fluctuation of diffuse laser speckles for CBF measurement, and light intensity attenuations for cerebral oxygenation measurement. The DSCFO was first validated against the established diffuse correlation spectroscopy (DCS) in neonatal piglets and then utilized for continuous CBF and oxygenation monitoring in preterm infants during intermittent hypoxemia (IH) events. RESULTS Significant correlations between the DSCFO and DCS measurements of CBF variations in neonatal piglets were observed. IH events induced fluctuations in CBF, cerebral oxygenation, and peripheral cardiorespiratory vitals in preterm infants. However, no consistent correlation patterns were observed among peripheral and cerebral monitoring parameters. CONCLUSIONS This pilot study demonstrated the feasibility of DSCFO technology to serve as a low-cost wearable sensor for continuous monitoring of multiple cerebral hemodynamic parameters. The results suggested the importance of multi-parameter measurements for understanding deep insights of peripheral and cerebral regulations. IMPACT The innovative DSCFO technology may serve as a low-cost wearable sensor for continuous bedside monitoring of multiple cerebral hemodynamic parameters in neonatal intensive care units. Concurrent DSCFO and DCS measurements of CBF variations in neonatal piglet models generated consistent results. No consistent correlation patterns were observed among peripheral and cerebral monitoring parameters in preterm neonates, suggesting the importance of multi-parameter measurements for understanding deep insights of peripheral and cerebral regulations during IH events. Integrating and correlating multiple cerebral functional parameters with clinical outcomes may identify biomarkers for prediction and management of IH associated brain injury.
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Affiliation(s)
- Xuhui Liu
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA
| | - Mehrana Mohtasebi
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA
| | - Pegah Safavi
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA
| | - Faraneh Fathi
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA
| | | | - Li Chen
- Biostatistics and Bioinformatics Shared Resource Facility, Markey Cancer Center, University of Kentucky, Lexington, KY, USA
| | - Jin Chen
- Department of Internal Medicine and Department of Computer Science, Institute for Biomedical Informatics, University of Kentucky, Lexington, KY, USA
| | - Henrietta S Bada
- Division of Neonatology, Department of Pediatrics, University of Kentucky, Lexington, KY, USA
| | - Lei Chen
- Department of Physiology and the Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY, USA
| | - Elie G Abu Jawdeh
- Division of Neonatology, Department of Pediatrics, University of Kentucky, Lexington, KY, USA
| | - Guoqiang Yu
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, USA.
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Tang L, Kebaya LMN, Altamimi T, Kowalczyk A, Musabi M, Roychaudhuri S, Vahidi H, Meyerink P, de Ribaupierre S, Bhattacharya S, de Moraes LTAR, St Lawrence K, Duerden EG. Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopy. Sci Rep 2024; 14:3176. [PMID: 38326455 PMCID: PMC10850364 DOI: 10.1038/s41598-024-53256-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/30/2024] [Indexed: 02/09/2024] Open
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.
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Affiliation(s)
- Lingkai Tang
- Biomedical Engineering, Faculty of Engineering, Western University, London, ON, Canada
| | - Lilian M N Kebaya
- Neuroscience, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
- Neonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
- Department of Paediatrics, Division of Neonatal-Perinatal Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Talal Altamimi
- Neonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
| | - Alexandra Kowalczyk
- Neonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
| | - Melab Musabi
- Neonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
| | - Sriya Roychaudhuri
- Neonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
| | - Homa Vahidi
- Neuroscience, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
| | - Paige Meyerink
- Neonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
| | - Sandrine de Ribaupierre
- Neuroscience, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
- Clinical Neurological Sciences, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
| | - Soume Bhattacharya
- Neonatal-Perinatal Medicine, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
| | | | - Keith St Lawrence
- Biomedical Engineering, Faculty of Engineering, Western University, London, ON, Canada
- Medical Biophysics, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada
| | - Emma G Duerden
- Biomedical Engineering, Faculty of Engineering, Western University, London, ON, Canada.
- Neuroscience, Schulich Faculty of Medicine and Dentistry, Western University, London, ON, Canada.
- Applied Psychology, Faculty of Education, Western University, 1137 Western Rd, London, ON, N6G 1G7, Canada.
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杨 骞, 刘 云. [Research progress on brain functional near-infrared spectroscopy technology in the field of neonates]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2024; 26:86-91. [PMID: 38269465 PMCID: PMC10817743 DOI: 10.7499/j.issn.1008-8830.2309002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 12/24/2023] [Indexed: 01/26/2024]
Abstract
Functional near infrared spectroscopy (fNIRS) is an emerging neuroimaging tool that reflects the activity and function of brain neurons by monitoring changes in brain oxygen metabolism based on the neurovascular coupling mechanism. It is non-invasive and convenient, especially suitable for monitoring neonatal brain function. This article provides a comprehensive review of research related to the developmental patterns of brain networks concerning language, music, and emotions in neonates using fNIRS. It also covers brain network imaging in neonatal care, resting-state brain network connectivity patterns, and characteristics of brain functional imaging in disease states of neonates using fNIRS.
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Liu X, Mohtasebi M, Safavi P, Fathi F, Haratbar SR, Chen L, Chen J, Bada HS, Chen L, Abu Jawdeh EG, Yu G. A Wearable Fiber-Free Optical Sensor for Continuous Monitoring of Neonatal Cerebral Blood Flow and Oxygenation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.21.23295914. [PMID: 37790418 PMCID: PMC10543216 DOI: 10.1101/2023.09.21.23295914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Impact The innovative DSCFO technology may serve as a low-cost wearable sensor for continuous bedside monitoring of multiple cerebral hemodynamic parameters in neonatal intensive care units.Concurrent DSCFO and DCS measurements of CBF variations in neonatal piglet models generated consistent results.No consistent correlation patterns were observed among peripheral and cerebral monitoring parameters in preterm neonates, suggesting the importance of multi-parameter measurements for understanding deep insights of peripheral and cerebral regulations during IH events.Integrating and correlating multiple cerebral functional parameters with clinical outcomes may identify biomarkers for prediction and management of IH associated brain injury. Background Unstable cerebral hemodynamics places preterm infants at high risk of brain injury. We adapted an innovative, fiber-free, wearable diffuse speckle contrast flow-oximetry (DSCFO) device for continuous monitoring of both cerebral blood flow (CBF) and oxygenation in neonatal piglets and preterm infants. Methods DSCFO uses two small laser diodes as focused-point and a tiny CMOS camera as a high-density two-dimensional detector to detect spontaneous spatial fluctuation of diffuse laser speckles for CBF measurement, and light intensity attenuations for cerebral oxygenation measurement. The DSCFO was first validated against the established diffuse correlation spectroscopy (DCS) in neonatal piglets and then utilized for continuous CBF and oxygenation monitoring in preterm infants during intermittent hypoxemia (IH) events. Results Consistent results between the DSCFO and DCS measurements of CBF variations in neonatal piglets were observed. IH events induced fluctuations in CBF, cerebral oxygenation, and peripheral cardiorespiratory vitals in preterm infants. However, no consistent correlation patterns were observed among peripheral and cerebral monitoring parameters. Conclusions This pilot study demonstrated the feasibility of DSCFO technology to serve as a low-cost wearable sensor for continuous monitoring of multiple cerebral hemodynamic parameters. The results suggested the importance of multi-parameter measurements for understanding deep insights of peripheral and cerebral regulations.
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