Altered Functional Connectivity Following an Inflammatory White Matter Injury in the Newborn Rat: A High Spatial and Temporal Resolution Intrinsic Optical Imaging Study
Very preterm newborns have an increased risk of developing an inflammatory cerebral white matter injury that may lead to severe neuro-cognitive impairment. In this study we performed functional connectivity (fc) analysis using resting-state optical imaging of intrinsic signals (rs-OIS) to assess the...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-07-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fnins.2017.00358/full |
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| author | Edgar Guevara Wyston C. Pierre Camille Tessier Luis Akakpo Irène Londono Frédéric Lesage Frédéric Lesage Gregory A. Lodygensky Gregory A. Lodygensky Gregory A. Lodygensky Gregory A. Lodygensky |
| author_facet | Edgar Guevara Wyston C. Pierre Camille Tessier Luis Akakpo Irène Londono Frédéric Lesage Frédéric Lesage Gregory A. Lodygensky Gregory A. Lodygensky Gregory A. Lodygensky Gregory A. Lodygensky |
| author_sort | Edgar Guevara |
| collection | DOAJ |
| description | Very preterm newborns have an increased risk of developing an inflammatory cerebral white matter injury that may lead to severe neuro-cognitive impairment. In this study we performed functional connectivity (fc) analysis using resting-state optical imaging of intrinsic signals (rs-OIS) to assess the impact of inflammation on resting-state networks (RSN) in a pre-clinical model of perinatal inflammatory brain injury. Lipopolysaccharide (LPS) or saline injections were administered in postnatal day (P3) rat pups and optical imaging of intrinsic signals were obtained 3 weeks later. (rs-OIS) fc seed-based analysis including spatial extent were performed. A support vector machine (SVM) was then used to classify rat pups in two categories using fc measures and an artificial neural network (ANN) was implemented to predict lesion size from those same fc measures. A significant decrease in the spatial extent of fc statistical maps was observed in the injured group, across contrasts and seeds (*p = 0.0452 for HbO2 and **p = 0.0036 for HbR). Both machine learning techniques were applied successfully, yielding 92% accuracy in group classification and a significant correlation r = 0.9431 in fractional lesion volume prediction (**p = 0.0020). Our results suggest that fc is altered in the injured newborn brain, showing the long-standing effect of inflammation. |
| first_indexed | 2024-12-17T01:23:39Z |
| format | Article |
| id | doaj.art-11f0804857594864aba63acd8882aba8 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-12-17T01:23:39Z |
| publishDate | 2017-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-11f0804857594864aba63acd8882aba82022-12-21T22:08:44ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2017-07-011110.3389/fnins.2017.00358254545Altered Functional Connectivity Following an Inflammatory White Matter Injury in the Newborn Rat: A High Spatial and Temporal Resolution Intrinsic Optical Imaging StudyEdgar Guevara0Wyston C. Pierre1Camille Tessier2Luis Akakpo3Irène Londono4Frédéric Lesage5Frédéric Lesage6Gregory A. Lodygensky7Gregory A. Lodygensky8Gregory A. Lodygensky9Gregory A. Lodygensky10Terahertz Science and Technology National Lab, CONACYT-Universidad Autónoma de San Luis Potosí, Coordinación para la Innovación y Aplicación de la Ciencia y la TecnologíaSan Luis Potosí, MexicoSainte-Justine Hospital and Research Center, Department of Pediatrics, Université de MontréalMontreal, QC, CanadaSainte-Justine Hospital and Research Center, Department of Pediatrics, Université de MontréalMontreal, QC, CanadaSainte-Justine Hospital and Research Center, Department of Pediatrics, Université de MontréalMontreal, QC, CanadaSainte-Justine Hospital and Research Center, Department of Pediatrics, Université de MontréalMontreal, QC, CanadaMontreal Heart Institute, Research CenterMontreal, QC, CanadaDepartment of Electrical Engineering, École Polytechnique de MontréalMontreal, QC, CanadaSainte-Justine Hospital and Research Center, Department of Pediatrics, Université de MontréalMontreal, QC, CanadaMontreal Heart Institute, Research CenterMontreal, QC, CanadaDepartment of Pharmacology, Université de MontréalMontreal, QC, CanadaDepartment of Neuroscience, Université de MontréalMontreal, QC, CanadaVery preterm newborns have an increased risk of developing an inflammatory cerebral white matter injury that may lead to severe neuro-cognitive impairment. In this study we performed functional connectivity (fc) analysis using resting-state optical imaging of intrinsic signals (rs-OIS) to assess the impact of inflammation on resting-state networks (RSN) in a pre-clinical model of perinatal inflammatory brain injury. Lipopolysaccharide (LPS) or saline injections were administered in postnatal day (P3) rat pups and optical imaging of intrinsic signals were obtained 3 weeks later. (rs-OIS) fc seed-based analysis including spatial extent were performed. A support vector machine (SVM) was then used to classify rat pups in two categories using fc measures and an artificial neural network (ANN) was implemented to predict lesion size from those same fc measures. A significant decrease in the spatial extent of fc statistical maps was observed in the injured group, across contrasts and seeds (*p = 0.0452 for HbO2 and **p = 0.0036 for HbR). Both machine learning techniques were applied successfully, yielding 92% accuracy in group classification and a significant correlation r = 0.9431 in fractional lesion volume prediction (**p = 0.0020). Our results suggest that fc is altered in the injured newborn brain, showing the long-standing effect of inflammation.http://journal.frontiersin.org/article/10.3389/fnins.2017.00358/fullwhite matter injuryinflammationprematurityresting state functional connectivityoptical imaging of intrinsic signalssupport vector machines |
| spellingShingle | Edgar Guevara Wyston C. Pierre Camille Tessier Luis Akakpo Irène Londono Frédéric Lesage Frédéric Lesage Gregory A. Lodygensky Gregory A. Lodygensky Gregory A. Lodygensky Gregory A. Lodygensky Altered Functional Connectivity Following an Inflammatory White Matter Injury in the Newborn Rat: A High Spatial and Temporal Resolution Intrinsic Optical Imaging Study Frontiers in Neuroscience white matter injury inflammation prematurity resting state functional connectivity optical imaging of intrinsic signals support vector machines |
| title | Altered Functional Connectivity Following an Inflammatory White Matter Injury in the Newborn Rat: A High Spatial and Temporal Resolution Intrinsic Optical Imaging Study |
| title_full | Altered Functional Connectivity Following an Inflammatory White Matter Injury in the Newborn Rat: A High Spatial and Temporal Resolution Intrinsic Optical Imaging Study |
| title_fullStr | Altered Functional Connectivity Following an Inflammatory White Matter Injury in the Newborn Rat: A High Spatial and Temporal Resolution Intrinsic Optical Imaging Study |
| title_full_unstemmed | Altered Functional Connectivity Following an Inflammatory White Matter Injury in the Newborn Rat: A High Spatial and Temporal Resolution Intrinsic Optical Imaging Study |
| title_short | Altered Functional Connectivity Following an Inflammatory White Matter Injury in the Newborn Rat: A High Spatial and Temporal Resolution Intrinsic Optical Imaging Study |
| title_sort | altered functional connectivity following an inflammatory white matter injury in the newborn rat a high spatial and temporal resolution intrinsic optical imaging study |
| topic | white matter injury inflammation prematurity resting state functional connectivity optical imaging of intrinsic signals support vector machines |
| url | http://journal.frontiersin.org/article/10.3389/fnins.2017.00358/full |
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