Hengye Huang , Karol Kexin Sun , Dan Wu , Chuncao Zhang , Yanyan Huo , Yuan Tian , Guangjun Yu
{"title":"早产儿整体发育迟缓的静息态脑网络分析和应用评估:功能性近红外光谱研究","authors":"Hengye Huang , Karol Kexin Sun , Dan Wu , Chuncao Zhang , Yanyan Huo , Yuan Tian , Guangjun Yu","doi":"10.1016/j.biosx.2024.100546","DOIUrl":null,"url":null,"abstract":"<div><div>Global developmental delay (GDD) is a common neurodevelopmental disorder in children under 5 years of age. This study assessed the potential of functional Near-Infrared Spectroscopy (fNIRS) technology aiding diagnosis of GDD in premature infants and explored brain pathogenesis of GDD. This prospective cohort study was conducted between December 2020 and June 2023 among preterm infants in five hospitals in China. The primary outcome was the diagnosis of GDD. A 5-min fNIRS brain scan was performed in preterm infants at 4-, 8-, and 12-month corrected age in two hospitals. A diagnostic model based on fNIRS brain network and an integrated diagnostic model built on fNIRS data as well as birth head circumference was developed. Diagnostic models were assessed using the area under the curve (AUC) from receiver operating characteristic curves. Brain network analysis revealed significantly worse left-sided functional connectivity in GDD preterm infants. The fNIRS technique had satisfactory diagnostic value for GDD in all age groups. The diagnostic accuracy of the combined diagnostic model significantly improved. This study suggested that fNIRS could be considered for early screening and late auxiliary diagnosis of GDD in preterm infants. Furthermore, it can also be used to explore GDD brain pathogenesis.</div></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"21 ","pages":"Article 100546"},"PeriodicalIF":10.6100,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resting-state brain network analysis and applied evaluation of global developmental delay in preterm infants: A functional near-infrared spectroscopic study\",\"authors\":\"Hengye Huang , Karol Kexin Sun , Dan Wu , Chuncao Zhang , Yanyan Huo , Yuan Tian , Guangjun Yu\",\"doi\":\"10.1016/j.biosx.2024.100546\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Global developmental delay (GDD) is a common neurodevelopmental disorder in children under 5 years of age. This study assessed the potential of functional Near-Infrared Spectroscopy (fNIRS) technology aiding diagnosis of GDD in premature infants and explored brain pathogenesis of GDD. This prospective cohort study was conducted between December 2020 and June 2023 among preterm infants in five hospitals in China. The primary outcome was the diagnosis of GDD. A 5-min fNIRS brain scan was performed in preterm infants at 4-, 8-, and 12-month corrected age in two hospitals. A diagnostic model based on fNIRS brain network and an integrated diagnostic model built on fNIRS data as well as birth head circumference was developed. Diagnostic models were assessed using the area under the curve (AUC) from receiver operating characteristic curves. Brain network analysis revealed significantly worse left-sided functional connectivity in GDD preterm infants. The fNIRS technique had satisfactory diagnostic value for GDD in all age groups. The diagnostic accuracy of the combined diagnostic model significantly improved. This study suggested that fNIRS could be considered for early screening and late auxiliary diagnosis of GDD in preterm infants. Furthermore, it can also be used to explore GDD brain pathogenesis.</div></div>\",\"PeriodicalId\":260,\"journal\":{\"name\":\"Biosensors and Bioelectronics: X\",\"volume\":\"21 \",\"pages\":\"Article 100546\"},\"PeriodicalIF\":10.6100,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosensors and Bioelectronics: X\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590137024001109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosensors and Bioelectronics: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590137024001109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
Resting-state brain network analysis and applied evaluation of global developmental delay in preterm infants: A functional near-infrared spectroscopic study
Global developmental delay (GDD) is a common neurodevelopmental disorder in children under 5 years of age. This study assessed the potential of functional Near-Infrared Spectroscopy (fNIRS) technology aiding diagnosis of GDD in premature infants and explored brain pathogenesis of GDD. This prospective cohort study was conducted between December 2020 and June 2023 among preterm infants in five hospitals in China. The primary outcome was the diagnosis of GDD. A 5-min fNIRS brain scan was performed in preterm infants at 4-, 8-, and 12-month corrected age in two hospitals. A diagnostic model based on fNIRS brain network and an integrated diagnostic model built on fNIRS data as well as birth head circumference was developed. Diagnostic models were assessed using the area under the curve (AUC) from receiver operating characteristic curves. Brain network analysis revealed significantly worse left-sided functional connectivity in GDD preterm infants. The fNIRS technique had satisfactory diagnostic value for GDD in all age groups. The diagnostic accuracy of the combined diagnostic model significantly improved. This study suggested that fNIRS could be considered for early screening and late auxiliary diagnosis of GDD in preterm infants. Furthermore, it can also be used to explore GDD brain pathogenesis.
期刊介绍:
Biosensors and Bioelectronics: X, an open-access companion journal of Biosensors and Bioelectronics, boasts a 2020 Impact Factor of 10.61 (Journal Citation Reports, Clarivate Analytics 2021). Offering authors the opportunity to share their innovative work freely and globally, Biosensors and Bioelectronics: X aims to be a timely and permanent source of information. The journal publishes original research papers, review articles, communications, editorial highlights, perspectives, opinions, and commentaries at the intersection of technological advancements and high-impact applications. Manuscripts submitted to Biosensors and Bioelectronics: X are assessed based on originality and innovation in technology development or applications, aligning with the journal's goal to cater to a broad audience interested in this dynamic field.