Jennifer Hammond, Rakesh Sahni, Philip Grieve, Joseph Isler, Elizabeth Werner, Brendan Ostlund, Daniel Alschuler, Seonjoo Lee, Catherine Monk
{"title":"早产儿和足月儿脑电图功率谱密度斜率的差异。","authors":"Jennifer Hammond, Rakesh Sahni, Philip Grieve, Joseph Isler, Elizabeth Werner, Brendan Ostlund, Daniel Alschuler, Seonjoo Lee, Catherine Monk","doi":"10.1002/dev.70001","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>A growing body of literature suggests that power spectral density (PSD) slope, measured using electroencephalography (EEG), might reflect synaptic activity and be a useful marker of early brain development. The objective of this article is to identify differences between preterm and full-term infants in PSD slope in active and quiet sleep. This is a secondary analysis of two studies, including premature (<i>N</i> = 33) (30 0/7 and 36 0/7 weeks’ gestation) and full-term infants (<i>N</i> = 22). EEG was performed at near term-equivalent age in premature infants and within 36 h after birth in full-term infants. The natural log of the EEG power spectrum was plotted versus the natural log of the frequency spectrum. To estimate PSD slope, the power law exponent derived from the slope of the log(power) versus log(frequency) was calculated for the 1–20 Hz range and the 21–40 Hz range. Linear regression models were fit for each region in active and quiet sleep to examine the association between the PSD slope and infant age group. Preterm versus full-term infants demonstrated a less negative slope across multiple brain regions in active and quiet sleep. PSD slope may be an early measure of altered brain development in premature infants.</p>\n </div>","PeriodicalId":11086,"journal":{"name":"Developmental psychobiology","volume":"66 8","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Differences Between Preterm and Full-Term Infants in Electroencephalogram Power Spectral Density Slope\",\"authors\":\"Jennifer Hammond, Rakesh Sahni, Philip Grieve, Joseph Isler, Elizabeth Werner, Brendan Ostlund, Daniel Alschuler, Seonjoo Lee, Catherine Monk\",\"doi\":\"10.1002/dev.70001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>A growing body of literature suggests that power spectral density (PSD) slope, measured using electroencephalography (EEG), might reflect synaptic activity and be a useful marker of early brain development. The objective of this article is to identify differences between preterm and full-term infants in PSD slope in active and quiet sleep. This is a secondary analysis of two studies, including premature (<i>N</i> = 33) (30 0/7 and 36 0/7 weeks’ gestation) and full-term infants (<i>N</i> = 22). EEG was performed at near term-equivalent age in premature infants and within 36 h after birth in full-term infants. The natural log of the EEG power spectrum was plotted versus the natural log of the frequency spectrum. To estimate PSD slope, the power law exponent derived from the slope of the log(power) versus log(frequency) was calculated for the 1–20 Hz range and the 21–40 Hz range. Linear regression models were fit for each region in active and quiet sleep to examine the association between the PSD slope and infant age group. Preterm versus full-term infants demonstrated a less negative slope across multiple brain regions in active and quiet sleep. PSD slope may be an early measure of altered brain development in premature infants.</p>\\n </div>\",\"PeriodicalId\":11086,\"journal\":{\"name\":\"Developmental psychobiology\",\"volume\":\"66 8\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Developmental psychobiology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/dev.70001\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"DEVELOPMENTAL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Developmental psychobiology","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/dev.70001","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEVELOPMENTAL BIOLOGY","Score":null,"Total":0}
Differences Between Preterm and Full-Term Infants in Electroencephalogram Power Spectral Density Slope
A growing body of literature suggests that power spectral density (PSD) slope, measured using electroencephalography (EEG), might reflect synaptic activity and be a useful marker of early brain development. The objective of this article is to identify differences between preterm and full-term infants in PSD slope in active and quiet sleep. This is a secondary analysis of two studies, including premature (N = 33) (30 0/7 and 36 0/7 weeks’ gestation) and full-term infants (N = 22). EEG was performed at near term-equivalent age in premature infants and within 36 h after birth in full-term infants. The natural log of the EEG power spectrum was plotted versus the natural log of the frequency spectrum. To estimate PSD slope, the power law exponent derived from the slope of the log(power) versus log(frequency) was calculated for the 1–20 Hz range and the 21–40 Hz range. Linear regression models were fit for each region in active and quiet sleep to examine the association between the PSD slope and infant age group. Preterm versus full-term infants demonstrated a less negative slope across multiple brain regions in active and quiet sleep. PSD slope may be an early measure of altered brain development in premature infants.
期刊介绍:
Developmental Psychobiology is a peer-reviewed journal that publishes original research papers from the disciplines of psychology, biology, neuroscience, and medicine that contribute to an understanding of behavior development. Research that focuses on development in the embryo/fetus, neonate, juvenile, or adult animal and multidisciplinary research that relates behavioral development to anatomy, physiology, biochemistry, genetics, or evolution is appropriate. The journal represents a broad phylogenetic perspective on behavior development by publishing studies of invertebrates, fish, birds, humans, and other animals. The journal publishes experimental and descriptive studies whether carried out in the laboratory or field.
The journal also publishes review articles and theoretical papers that make important conceptual contributions. Special dedicated issues of Developmental Psychobiology , consisting of invited papers on a topic of general interest, may be arranged with the Editor-in-Chief.
Developmental Psychobiology also publishes Letters to the Editor, which discuss issues of general interest or material published in the journal. Letters discussing published material may correct errors, provide clarification, or offer a different point of view. Authors should consult the editors on the preparation of these contributions.