Machine Learning-Derived Active Sleep as an Early Predictor of White Matter Development in Preterm Infants DOI Creative Commons
Xiaowan Wang, Eline R. de Groot, Maria Luisa Tataranno

и другие.

Journal of Neuroscience, Год журнала: 2023, Номер 44(5), С. e1024232023 - e1024232023

Опубликована: Дек. 11, 2023

White matter dysmaturation is commonly seen in preterm infants admitted to the neonatal intensive care unit (NICU). Animal research has shown that active sleep essential for early brain plasticity. This study aimed determine potential of as an predictor subsequent white development infants. Using heart and respiratory rates routinely monitored NICU, we developed a machine learning-based automated stage classifier cohort 25 (12 females). The was subsequently applied 58 (31 females) extract percentage over 5–7 consecutive days during 29–32 weeks postmenstrual age. Each underwent high-quality T2-weighted magnetic resonance imaging at term-equivalent age, which used measure total volume. association between volume examined using multiple linear regression model adjusted confounders. with superior classification performance [mean area under receiver operating characteristic curve (AUROC) = 0.87, 95% CI 0.83–0.92], found higher period significantly associated increased age [ β 0.31, 0.09–0.53, false discovery rate (FDR)-adjusted p -value 0.021]. Our results extend positive animal human emphasize benefit preservation NICU setting.

Язык: Английский

Creating an optimal observational sleep stage classification system for very and extremely preterm infants DOI Creative Commons
Eline R. de Groot, Anne Bik, Chanel Sam

и другие.

Sleep Medicine, Год журнала: 2022, Номер 90, С. 167 - 175

Опубликована: Фев. 1, 2022

Sleep plays a major role in neuronal survival and guiding the fetal brain's development. Preterm infants neonatal intensive care unit are exposed to numerous external stimuli that can severely disrupt their sleep/wake patterns. Currently, almost no behavioral classification scales validated for preterm infants. This study aims develop new, easy-to-use, visual sleep stage system with gestational age between 25 37 weeks. The Behavioral Infants (BeSSPI) consists of four sleep-wake stages; active (AS), quiet (QS), intermediate (IS) wake (W), which classified using seven items. Items include eye movements, body facial vocalizations, heart rate, respiratory pattern activity level. 69 were observed (24 + 6–36 0 weeks GA at birth; 2–36 6 PMA observation; 57.3% male). Across all infants, BeSSPI was based on 10,922 min behavior, 4264 AS (38.83%), 2873 QS (26.16%), 2887 IS (26.29%), 957 W (8.72%). For final BeSSPI, an interrater agreement κ = 0.80 reached. Additionally, construct, content, face validity, expert validity carefully assessed deemed satisfactory. We developed method evaluate stages is simple healthcare providers learn use. high reliability validity. Furthermore, it be used age-groups. Therefore, this novel instrument may improve rigor reproducibility future research.

Язык: Английский

Процитировано

18
The Sleep Well Baby project: an automated real-time sleep–wake state prediction algorithm in preterm infants DOI Creative Commons

Thom Sentner,

Xiaowan Wang, Eline R. de Groot

и другие.

SLEEP, Год журнала: 2022, Номер 45(10)

Опубликована: Июнь 24, 2022

Abstract Study Objectives Sleep is an important driver of early brain development. However, sleep often disturbed in preterm infants admitted to the neonatal intensive care unit (NICU). We aimed develop automated algorithm based on routinely measured vital parameters classify sleep–wake states real-time at bedside. Methods In this study, state observations were obtained 1-minute epochs using a behavioral scale developed in-house while signs recorded simultaneously. Three types parameter data, namely, heart rate, respiratory and oxygen saturation, collected low-frequency sampling rate 0.4 Hz. A supervised machine learning workflow was used train classifier predict states. Independent training (n = 37) validation datasets n 9) used. Finally, setup designed for implementation Results The macro-averaged area-under-the-receiver-operator-characteristic (AUROC) staging ranged between 0.69 0.82 0.61 0.78 data. provided most accurate prediction wake (AUROC 0.80). These findings well validated independent sample 0.77). Conclusions With best our knowledge, reliable, nonobtrusive, first time infants. Deploying NICU environment may assist adapt bedside clinical work infants’ states, potentially promoting development well-being

Язык: Английский

Процитировано

18
The Relationship Between Sleep, Epilepsy, and Development: a Review DOI
Annie H. Roliz, Sanjeev V. Kothare

Current Neurology and Neuroscience Reports, Год журнала: 2023, Номер 23(9), С. 469 - 477

Опубликована: Июль 17, 2023

Язык: Английский

Процитировано

10
Sleep duration trajectories and cognition in early childhood: A systematic review DOI

Elaine Kh Tham,

Nur K. Abdul Jafar,

Celeste TR. Koh

и другие.

Sleep Medicine Reviews, Год журнала: 2024, Номер 74, С. 101912 - 101912

Опубликована: Фев. 24, 2024

Язык: Английский

Процитировано

3
Sleep for infants after discharge from a neonatal ward: Expert- and parent endorsed strategies DOI
Eline R. de Groot, Agnes van den Hoogen, Mary Anne Ryan

и другие.

Pediatric Research, Год журнала: 2025, Номер unknown

Опубликована: Янв. 18, 2025

Язык: Английский

Процитировано

0
Postnatal sleep restriction in male mice impairs the development of parvalbumin-positive neurons in the prefrontal cortex and increases anxiety-like behaviour DOI

Eriko Kitano,

Hiroshi Ueno, Yu Takahashi

и другие.

Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Impact of Developmental Alcohol Exposure on Sleep Physiology DOI
Valentina Licheri, Jonathan L. Brigman

Advances in experimental medicine and biology, Год журнала: 2025, Номер unknown, С. 111 - 127

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Pediatric sleep electrophysiology: Using polysomnography in developmental cognitive neuroscience DOI Creative Commons

Lena Gaudette,

A Swift,

Melissa N. Horger

и другие.

Developmental Cognitive Neuroscience, Год журнала: 2025, Номер unknown, С. 101562 - 101562

Опубликована: Апрель 1, 2025

Research suggests a bidirectional relationship between brain and cognitive development sleep in early childhood. Polysomnography is essential for the investigation of mechanisms underlying sleep's role development. This paper outlines methods integrating measures physiology into developmental neuroscience research. There are various options when choosing polysomnography system depending on research question. We offer considerations such as application time, recording montage density analysis options, cost. also review suggestions modifying procedures with populations to support high quality data collection. hope that this overview will facilitate more studies advance our understanding

Язык: Английский

Процитировано

0
Maturation of infant sleep during the first 6 months of life: a mini-scoping review DOI Creative Commons

Angela Gilchrist,

Brandon S. Aylward, Christine Lainé

и другие.

Frontiers in Neuroscience, Год журнала: 2025, Номер 19

Опубликована: Апрель 30, 2025

Several foundational aspects of neurodevelopment occur during the early months infant life, most notably maturation and consolidation wake/sleep cycles. Past studies have had difficulty quantifying sleep, with researchers relying on low-resolution caregiver surveys. Data obtained from nightly measurements not yet been aggregated across to clarify developmental trajectories population norms. This mini-scoping review assesses data collected actigraphy sleep diaries; two common measurement techniques. The PubMed database was used identify 2000 2024 utilizing and/or diaries, which report total night (TNS), longest stretch (LSS), frequency wakings (NW) first 6 life. then compiled per metric reveal extent inter-and intra-study variability, curves were fit highlight trajectories. A 35 articles met inclusion criteria (16 using only, 8 diary 11 both diaries). sample sizes these ranged 13 320 infants. majority (N = 28) reported or fewer age points. Aggregation regression revealed longitudinal trends, but highlighted variability within between studies, as well systematic differences methods. In order establish reliable benchmarks, future must include defined, objective measures greater methodological consistency, larger cohorts, more frequent sampling, clear disclosure limitations.

Язык: Английский

Процитировано

0
Intrinsic maturation of sleep output neurons regulates sleep ontogeny in Drosophila DOI Creative Commons
Naihua N. Gong, Ngoc Bao Hang Luong,

An H. Dang

и другие.

Current Biology, Год журнала: 2022, Номер 32(18), С. 4025 - 4039.e3

Опубликована: Авг. 18, 2022

The maturation of sleep behavior across a lifespan (sleep ontogeny) is an evolutionarily conserved phenomenon. Mammalian studies have shown that in addition to increased duration, early life exhibits stark differences compared with mature regard states. How the intrinsic output circuits contributes ontogeny poorly understood. fruit fly Drosophila melanogaster multifaceted changes from juvenile adulthood. Here, we use non-invasive probabilistic approach investigate architecture and flies. Increased flies driven primarily by decreased probability transitioning wake characterized more time deeper Functional manipulations sleep-promoting neurons dorsal fan-shaped body (dFB) suggest these differentially regulate Transcriptomic analysis dFB at different ages subsequent RNAi screen implicate genes involved circuit maturation. These results reveal dynamic transcriptional states contribute lifespan.

Язык: Английский

Процитировано

13