ABSTRACT
OBJECTIVE: To describe the association between intermittent hypoxemic events (IHEs) and severe neurodevelopmental impairment (SNDI) or death in extremely premature infants. STUDY DESIGN: Retrospective study of extremely premature infants 230/7-276/7 weeks gestational age (GA) and birthweight (BW) ≤1250 grams (g) admitted to a level IV neonatal intensive care unit (NICU) from 2013 to 2017. IHEs, defined as events with SpO2 ≤ 80 % lasting 10 s to 5 min, were algorithmically identified using data extracted from bedside monitors at 2 s intervals (0.5 Hz). The primary outcome was SNDI at 18-24 months corrected age (CA), defined as a Bayley-III motor, language or cognitive composite score ≤69, or death before discharge while the secondary outcome was SNDI alone. We used mixed-effects regression models to evaluate the relationship between mean daily IHE rate per postnatal week of life for the first 12 weeks and the outcomes, and logistic regression models to assess the association between outcomes and summary measures of hypoxic burden for the entire NICU hospitalization. RESULTS: The mortality rate was 7 % (18/249) during NICU hospitalization. Of 249 infants born during this time period, IHE and neurodevelopmental outcome data were fully available for 65 infants (mean GA 26 ± 1.4 weeks, mean birth weight (BW) 738 ± 199 g. The outcome of SNDI alone occurred in 34 % (22/65) with a majority demonstrating motor or language delay on the Bayley-III. Although mean daily IHE rate/week was not associated with SNDI or death, total IHE duration was associated with increased odds of SNDI (OR (95 % CI) 1.03 (1.01, 1.05), p = 0.008) in models adjusted for GA. CONCLUSIONS: In a cohort of extremely premature infants 23-27 weeks GA, each hour of total IHE duration (SpO2 ≤ 80 %) was associated with a 2.7 % (0.7 %, 4.8 %) increase in the odds of SNDI at 18-24 months CA.
Subject(s)
Language Development Disorders , Neurodevelopmental Disorders , Infant, Newborn , Infant , Humans , Infant, Extremely Premature , Retrospective Studies , Hypoxia/epidemiology , Gestational Age , Neurodevelopmental Disorders/epidemiologyABSTRACT
Age-related structural and functional changes that occur during brain development are critical for cortical development and functioning. Previous electroencephalography (EEG) and magnetoencephalography (MEG) studies have highlighted the utility of power spectra analyses and have uncovered age-related trends that reflect perceptual, cognitive, and behavioural states as well as their underlying neurophysiology. The aim of the current study was to investigate age-related change in aperiodic and periodic alpha activity across a large sample of pre- and school-aged children (N = 502, age range 4 -11-years-of-age). Power spectra were extracted from baseline EEG recordings (eyes closed, eyes open) for each participant and parameterized into aperiodic activity to derive the offset and exponent parameters and periodic alpha oscillatory activity to derive the alpha peak frequency and the associated power estimates. Multilevel models were run to investigate age-related trends and condition-dependent changes for each of these measures. We found quadratic age-related effects for both the aperiodic offset and exponent. In addition, we observed increases in periodic alpha peak frequency as a function of age. Aperiodic measures and periodic alpha power were larger in magnitude during eyes closed compared to the eyes open baseline condition. Taken together, these results advance our understanding of the maturational patterns/trajectories of brain development during early- to middle-childhood.
Subject(s)
Electroencephalography , Magnetoencephalography , Child , Humans , Child, Preschool , Electroencephalography/methods , Eye , Brain/physiologyABSTRACT
BACKGROUND: Heart rate characteristics aid early detection of late-onset sepsis (LOS), but respiratory data contain additional signatures of illness due to infection. Predictive models using cardiorespiratory data may improve early sepsis detection. We hypothesized that heart rate (HR) and oxygenation (SpO2) data contain signatures that improve sepsis risk prediction over HR or demographics alone. METHODS: We analyzed cardiorespiratory data from very low birth weight (VLBW, <1500 g) infants admitted to three NICUs. We developed and externally validated four machine learning models to predict LOS using features calculated every 10 m: mean, standard deviation, skewness, kurtosis of HR and SpO2, and cross-correlation. We compared feature importance, discrimination, calibration, and dynamic prediction across models and cohorts. We built models of demographics and HR or SpO2 features alone for comparison with HR-SpO2 models. RESULTS: Performance, feature importance, and calibration were similar among modeling methods. All models had favorable external validation performance. The HR-SpO2 model performed better than models using either HR or SpO2 alone. Demographics improved the discrimination of all physiologic data models but dampened dynamic performance. CONCLUSIONS: Cardiorespiratory signatures detect LOS in VLBW infants at 3 NICUs. Demographics risk-stratify, but predictive modeling with both HR and SpO2 features provides the best dynamic risk prediction. IMPACT: Heart rate characteristics aid early detection of late-onset sepsis, but respiratory data contain signatures of illness due to infection. Predictive models using both heart rate and respiratory data may improve early sepsis detection. A cardiorespiratory early warning score, analyzing heart rate from electrocardiogram or pulse oximetry with SpO2, predicts late-onset sepsis within 24 h across multiple NICUs and detects sepsis better than heart rate characteristics or demographics alone. Demographics risk-stratify, but predictive modeling with both HR and SpO2 features provides the best dynamic risk prediction. The results increase understanding of physiologic signatures of neonatal sepsis.
Subject(s)
Neonatal Sepsis , Sepsis , Infant, Newborn , Infant , Humans , Neonatal Sepsis/diagnosis , Infant, Very Low Birth Weight , Sepsis/diagnosis , Intensive Care Units, Neonatal , Heart RateABSTRACT
This study is the first to examine spectrum-wide (1 to 250 Hz) differences in electroencephalogram (EEG) power between eyes open (EO) and eyes closed (EC) resting state conditions in 486 children. The results extend the findings of previous studies by characterizing EEG power differences from 30 to 250 Hz between EO and EC across childhood. Developmental changes in EEG power showed spatial and frequency band differences as a function of age and EO/EC condition. A 64-electrode system was used to record EEG at 4, 5, 7, 9, and 11 years of age. Specific findings were: (1) the alpha peak shifts from 8 Hz at 4 years to 9 Hz at 11 years, (2) EC results in increased EEG power (compared to EO) at lower frequencies but decreased EEG power at higher frequencies for all ages, (3) the EEG power difference between EO and EC changes from positive to negative within a narrow frequency band which shifts toward higher frequencies with age, from 9 to 12 Hz at 4 years to 32 Hz at 11 years, (4) at all ages EC is characterized by an increase in lower frequency EEG power most prominently over posterior regions, (5) at all ages, during EC, decreases in EEG power above 30 Hz are mostly over anterior regions of the scalp. This report demonstrates that the simple challenge of opening and closing the eyes offers the potential to provide quantitative biomarkers of phenotypic variation in brain maturation by employing a brief, minimally invasive protocol throughout childhood.
Subject(s)
Electroencephalography , Scalp , Child , Humans , Child, Preschool , ElectrodesABSTRACT
The electrocardiogram (ECG) is a common source of electrical artifact in electroencephalogram (EEG). Here, we present a novel method for removing ECG artifact that requires neither simultaneous ECG nor transformation of the EEG signals. The approach relies upon processing a subset of EEG channels that contain ECG artifact to identify the times of each R-wave of the ECG. Within selected brief epochs, data in each EEG channel is signal-averaged ± 60 ms around each R-wave to derive an ECG template specific to each channel. This template is subtracted from each EEG channel which are aligned with the R-waves. The methodology was developed using two cohorts of infants: one with 128-lead EEG including an ECG reference and another with 32-lead EEG without ECG reference. The results for the first cohort validated the methodology the ECG reference and the second demonstrated its feasibility when ECG was not recorded. This method does not require independent, simultaneous recording of ECG, nor does it involve creation of an artifact template based on a mixture of EEG channel data as required by other methods such as Independent Component Analysis (ICA). Spectral analysis confirms that the method compares favorably to results using simultaneous recordings of ECG. The method removes ECG artifact on an epoch by epoch level and does not require stationarity of the artifact. Clinical Relevance - This approach facilitates the removal of ECG noise in frequency bands known to play a central role in brain mechanisms underlying cognitive processes.
Subject(s)
Algorithms , Artifacts , Brain , Electrocardiography/methods , Electroencephalography/methods , HumansABSTRACT
Approximately 7% of preterm infants receive an autism spectrum disorder (ASD) diagnosis. Yet, there is a significant gap in the literature in identifying prospective markers of neurodevelopmental risk in preterm infants. The present study examined two electroencephalography (EEG) parameters during infancy, absolute EEG power and aperiodic activity of the power spectral density (PSD) slope, in association with subsequent autism risk and cognitive ability in a diverse cohort of children born preterm in South Africa. Participants were 71 preterm infants born between 25 and 36 weeks gestation (34.60 ± 2.34 weeks). EEG was collected during sleep between 39 and 41 weeks postmenstrual age adjusted (40.00 ± 0.42 weeks). The Bayley Scales of Infant Development and Brief Infant Toddler Social Emotional Assessment (BITSEA) were administered at approximately 3 years of age adjusted (34 ± 2.7 months). Aperiodic activity, but not the rhythmic oscillatory activity, at multiple electrode sites was associated with subsequent increased autism risk on the BITSEA at three years of age. No associations were found between the PSD slope or absolute EEG power and cognitive development. Our findings highlight the need to examine potential markers of subsequent autism risk in high-risk populations other than infants at familial risk.
Subject(s)
Autism Spectrum Disorder , Autistic Disorder , Autism Spectrum Disorder/diagnosis , Child, Preschool , Electroencephalography , Humans , Infant , Infant, Newborn , Infant, Premature , Prospective StudiesABSTRACT
OBJECTIVE: This trial (RCT-2) sought to replicate the EEG findings of a randomized controlled trial of Family Nurture Intervention in the NICU (FNI-NICU) (RCT-1) comparing infants receiving standard care (SC) with infants receiving SC plus FNI . METHODS: RCT-2 (NCT02710474) was conducted at two NICUs. Subjects were randomly assigned to receive SC or FNI during their NICU stay. The primary outcome was EEG power in the frontal polar region at 39-41 weeks gestational age (GA). Sixty preterm infants (26-34 weeks GA; 33 SC, 27 FNI) were assessed. FNI-NICU consisted of repeated calming sessions (â¼4 times/week) facilitated by Nurture Specialists during which mothers engaged in emotional expression during clothed or skin-to-skin holding, vocal soothing, and eye contact. EEGs were collected from 128 leads. EEG power was computed using Fast Fourier Transforms. RESULTS: RCT-2 replicated RCT-1 results; FNI-NICU led to significantly increased frontal polar power at frequencies > 12 Hz. Effects were spatially more widespread than in RCT-1, with substantial effect sizes (â¼0.50) in frontal and parietal regions. CONCLUSIONS: RCT-2 results provide further evidence that FNI-NICU increases term age brain activity. SIGNIFICANCE: FNI-NICU is designed to facilitate autonomic emotional connection and coregulation between mothers and infants in the NICU resulting in profound effects on early brain development.
Subject(s)
Infant, Premature , Mother-Child Relations , Electroencephalography , Female , Humans , Infant , Infant, Newborn , Infant, Premature/physiology , Intensive Care Units, Neonatal , Mother-Child Relations/psychology , ProsencephalonABSTRACT
BACKGROUND: Cardiac complications after premature birth are associated with negative long-term consequences to health. The Family Nurture Intervention (FNI) has been designed to support mother-infant parasympathetic calming sessions in the neonatal intensive care unit (NICU). FNI has shown neurodevelopmental and autonomic benefit across infant development. AIMS: We tested the hypothesis that heart rate (HR) will decrease after FNI over the course of the NICU stay, compared to matched controls. STUDY DESIGN: We used a case-matched design. The intervention included on average four ~1-hour facilitated mother-infant 'calming' sessions per week. We collected 24/7 real time heart rate data from a central monitoring system and analyzed data from two time-periods. SUBJECTS: The intervention group comprised 37 infants born ~30 weeks gestational age (GA) in a level IV NICU, treated with FNI. From the same NICU and time-period, we created a contemporaneous comparison group of 32 infants who were case-matched to each intervention infant for sex, age-at-birth, singleton or twin status, month of admission and length of stay. OUTCOME MEASURES: Using generalized estimating equation (GEE) modeling, we analyzed 24/7 HR data during a 1-hour period between 4:30 and 5:30 am each day in the NICU, when all infants were least disturbed. Using repeated measures ANOVA, we analyzed 24/7 HR data during a 6-week period starting 1 week prior to the start of FNI and ending 5 weeks after start. RESULTS: GEE modeling of the 1-hour data from all subjects showed significant lower HR in the FNI group, compared with controls. ANOVA modeling on a subset of subjects over the five-week period showed that FNI infant HR decreased in a dose-response manner relative to SC HR. CONCLUSION: This study suggests FNI may condition lower infant HR in a dose-response manner during the NICU stay.
Subject(s)
Infant, Premature , Intensive Care Units, Neonatal , Child , Female , Heart Rate , Humans , Infant , Infant, Newborn , Infant, Premature/physiology , Mother-Child Relations , Mothers , PregnancyABSTRACT
BACKGROUND: Continuous heart rate (HR) and oxygenation (SpO2) metrics can be useful for predicting adverse events in very low birth weight (VLBW) infants. To optimize the utility of these tools, inter-site variability must be taken into account. METHODS: For VLBW infants at three neonatal intensive care units (NICUs), we analyzed the mean, standard deviation, skewness, kurtosis, and cross-correlation of electrocardiogram HR, pulse oximeter pulse rate, and SpO2. The number and durations of bradycardia and desaturation events were also measured. Twenty-two metrics were calculated hourly, and mean daily values were compared between sites. RESULTS: We analyzed data from 1168 VLBW infants from birth through day 42 (35,238 infant-days). HR and SpO2 metrics were similar at the three NICUs, with mean HR rising by ~10 beats/min over the first 2 weeks and mean SpO2 remaining stable ~94% over time. The number of bradycardia events was higher at one site, and the duration of desaturations was longer at another site. CONCLUSIONS: Mean HR and SpO2 were generally similar among VLBW infants at three NICUs from birth through 6 weeks of age, but bradycardia and desaturation events differed in the first 2 weeks after birth. This highlights the importance of developing predictive analytics tools at multiple sites. IMPACT: HR and SpO2 analytics can be useful for predicting adverse events in VLBW infants in the NICU, but inter-site differences must be taken into account in developing predictive algorithms. Although mean HR and SpO2 patterns were similar in VLBW infants at three NICUs, inter-site differences in the number of bradycardia events and duration of desaturation events were found. Inter-site differences in bradycardia and desaturation events among VLBW infants should be considered in the development of predictive algorithms.
Subject(s)
Algorithms , Infant, Very Low Birth Weight , Intensive Care Units, Neonatal , Vital Signs , Female , Heart Rate , Humans , Infant, Newborn , Male , OximetryABSTRACT
BACKGROUND: Near-infrared spectroscopy (NIRS) is being increasingly used to investigate regional oxygenation (rSO2) and perfusion in areas such as the abdomen in preterm infants prone to feeding intolerance. Lower abdominal rSO2 values are extremely variable, high sensitivity and currently low specificity tools. The liver, a solid organ, could provide a more reliable site for splanchnic oxygenation and perfusion monitoring. AIMS: Compare liver and lower abdomen rSO2 values in stable preterm infants in response to feeding. STUDY DESIGN: We prospectively evaluated the correlation between rSO2 over the liver and lower abdomen in 16 preterm infants born between 28 and 32 weeks' gestational age using 48 h of continuous NIRS data. OUTCOME MEASURES: Mean liver and lower abdomen rSO2 values. RESULTS: The overall mean liver rSO2 were higher than the overall mean lower abdomen values, 78.4 ± 7.1 vs. 65.1 ± 24.9 respectively. Time series analysis showed a mean maximum cross correlation between the liver and lower abdomen of 0.28 (SD ± 0.03; p < 0.001); the liver signal lagged the lower abdomen by an average of 5.4 s (SD ± 1.2 s, Range 0-16 s). Mixed models analysis showed that during bolus feeding, liver values increased 10 to 30 min after the start of feeding (p < 0.01) while lower abdomen increased from 20 to 60 min after the start of feeding (p < 0.05) and liver values were less variable than lower abdomen values. CONCLUSION: Liver rSO2 appears to be a more stable surrogate for splanchnic oxygenation and perfusion than lower abdomen rSO2.
Subject(s)
Abdomen/diagnostic imaging , Enterocolitis, Necrotizing/diagnostic imaging , Infant Nutritional Physiological Phenomena , Infant, Premature, Diseases/diagnostic imaging , Infant, Premature/physiology , Liver/diagnostic imaging , Enterocolitis, Necrotizing/diagnosis , Feeding Methods , Female , Humans , Infant, Newborn , Infant, Premature, Diseases/diagnosis , Liver/metabolism , Male , Oxygen Consumption , Sensitivity and Specificity , Spectroscopy, Near-Infrared/methods , Spectroscopy, Near-Infrared/standardsABSTRACT
OBJECTIVE: Family Nurture Intervention (FNI) facilitates mother/infant emotional connection, improves neurodevelopmental outcomes and increases electroencephalogram (EEG) power at term age. Here we explored whether delta brushes (DB), early EEG bursts that shape brain development, are altered by FNI and mediate later effects of FNI on EEG. METHODS: We assessed DB characteristics in EEG data from a randomized controlled trial comparing infants with standard care (SC, n = 31) versus SC + FNI (n = 33) at ~35 and ~40 weeks GA. RESULTS: Compared to SC infants, FNI infant DB amplitude increased more from ~35 to ~40 weeks, and FNI infants had longer duration DBs. DB parameters (rate, amplitude, brush frequency) at ~35 weeks were correlated with power at ~40 weeks, but only in SC infants. FNI effects on DB parameters do not mediate FNI effects on EEG power or coherence at term. CONCLUSIONS: DBs are related to subsequent brain activity and FNI alters DB parameters. However, FNI's effects on electrocortical activity at term age are not dependent on its earlier effects on DBs. SIGNIFICANCE: While early DBs can have important effects on later brain activity in preterm infants, facilitating emotional connection with FNI may allow brain maturation to be less dependent on early bursts.
Subject(s)
Delta Rhythm , Infant, Premature/physiology , Intensive Care, Neonatal/methods , Adult , Family/psychology , Humans , Infant, Newborn , Infant, Premature/growth & development , Infant, Premature/psychology , Mother-Child RelationsABSTRACT
Characteristics of the home language environment, independent of socioeconomic background, may account for disparities in early language abilities. Past studies have reported links between the quantity of language input within the home and differences in brain function during early childhood. The current study examined associations between home language input and EEG brain activity in a socioeconomically diverse sample of 6- to 12-month-old infants (Nâ¯=â¯94). Replicating past studies, a positive correlation was found between measures of socioeconomic status and language input. Examining links between language input and brain activity, analyses yielded a negative association, with children who heard more adult words in the home demonstrating reduced EEG beta power (13-19â¯Hz) in the parietal region. Exploratory analyses revealed a significant interaction between language input and the amount of chaos and disorganization in the home. Specifically, among children living in high-chaos households, children who heard more adult words tended to have reduced EEG activity. Among children living in low-chaos homes, there was no link between adult word count and children's EEG activity. These findings demonstrate the importance of the early home environment context in shaping neurocognitive trajectories.
Subject(s)
Language Development , Neurons/physiology , Environment , Female , Humans , Infant , Male , Social ClassABSTRACT
Importance: Research to date has not determined a safe level of alcohol or tobacco use during pregnancy. Electroencephalography (EEG) is a noninvasive measure of cortical function that has previously been used to examine effects of in utero exposures and associations with neurodevelopment. Objective: To examine the association of prenatal exposure to alcohol (PAE) and tobacco smoking (PTE) with brain activity in newborns. Design, Setting, and Participants: This prospective cohort study enrolled mother-newborn dyads from December 2011 through August 2015, with data analyzed from June 2018 through June 2019. Pregnant women were recruited from clinical sites in Cape Town, South Africa, and the Northern Plains region of the US. Participants were a subset of newborns enrolled in the Safe Passage Study. Exclusions included birth at less than 37 or more than 41 weeks' gestation, multiple birth, or maternal use of psychiatric medication during pregnancy. Exposures: PAE and PTE groups were determined by cluster analysis. Main Outcomes and Measures: Analyses of covariance were run on EEG spectral power at 12 scalp locations across the frequency spectrum from 1 to 45 Hz in 3-Hz bins by sleep state. Results: The final sample consisted of 1739 newborns (median [interquartile range] gestational age at birth, 39.29 [1.57] weeks; 886 [50.9%] were female; median [interquartile range] newborn age at assessment, 48.53 [44.96] hours). Newborns whose mothers were in the low continuous (95% CI, -0.379 to -0.031; P < .05; 95% CI, -0.379 to -0.045; P < .05), quit (95% CI, -0.419 to -0.127; P < .001; 95% CI, -0.398 to -0.106; P < .005), and moderate or high continuous (95% CI, -0.430 to -0.124; P < .001; 95% CI, -0.420 to -0.119; P < .005) PAE clusters had increased 4- to 6-Hz and 7- to 9-Hz left-temporal EEG power. Newborns with moderate or high continuous PTE had decreased 19- to 21-Hz (95% CI, 0.034 to 0.327; P < .05) and 22- to 24-Hz (95% CI, 0.022 to 0.316; P < .05) right-central EEG compared with newborns with no PTE. Newborns with moderate or high continuous PTE had significantly decreased 22- to 36-Hz right-central EEG power compared with the quit smoking group (22-24 Hz, 95% CI, 0.001 to 0.579; P < .05; 25-27 Hz, 95% CI, 0.008 to 0.586; P < .05; 28-30 Hz, 95% CI, 0.028 to 0.607; P < .05; 31-33 Hz, 95% CI, 0.038 to 0.617; P < .05; 34-36 Hz, 95% CI, 0.057 to 0.636; P < .05). Conclusions and Relevance: These findings suggest that even low levels of PAE or PTE are associated with changes in offspring brain development.
Subject(s)
Alcohol Drinking , Brain/physiopathology , Maternal Exposure , Sleep/physiology , Smoking , Electroencephalography , Female , Humans , Infant, Newborn , Male , Pregnancy , Prenatal Exposure Delayed Effects , Prospective Studies , South Africa , United StatesABSTRACT
Chronic stress has been increasingly linked with aberrations in children's behavioral, cognitive, and social development, yet the effect of chronic physiological stress on neural development during the first year of life is largely unknown. The present study aims to link a physiological index of chronic stress (maternal hair cortisol concentration) to maturational differences in infant functional brain development during the first year of life. Participants were 94 mother-infant dyads. To index chronic physiological stress, maternal hair samples were assayed for the previous three months' cortisol output. To examine the development of brain function during the first year of life, six-to-twelve-month-old infants (N = 94) completed a resting electroencephalography (EEG) recording. Infants of mothers with evidence of higher physiological stress showed increased relative low-frequency (theta) power and reduced relative high-frequency (alpha, high-gamma) power, compared to infants of mothers with evidence of low physiological stress. This pattern of findings is consistent with other studies suggesting that early life stress may lead to alterations in patterns of infant brain development. These findings are important given that maturational lags in brain development can be long-lasting and are associated with deficits in cognitive and emotional development. The present research also suggests that reducing maternal physiological stress may be a useful target for future interventions aiming to foster neurodevelopment during the first year of life.
Subject(s)
Hydrocortisone , Mothers , Brain , Child , Child Development , Female , Humans , Infant , Mother-Child Relations , Stress, Physiological , Stress, PsychologicalABSTRACT
PURPOSE: The Neonatal Intensive Care Unit Hospital Exposures and Long-Term Health (NICU-HEALTH) longitudinal preterm birth cohort studies the impact of the NICU exposome on early-life development. NICU-HEALTH collects multiple biospecimens, complex observational and survey data and comprehensive multisystem outcome assessments to allow measurement of the impact of modifiable environmental exposures during the preterm period on neurodevelopmental, pulmonary and growth outcomes. PARTICIPANTS: Moderately preterm infants without genetic or congenital anomalies and their mothers are recruited from an urban academic medical centre level IV NICU in New York City, New York, USA. Recruitment began in 2011 and continues through multiple enrolment phases to the present with goal enrolment of 400 infants. Follow-up includes daily data collection throughout the NICU stay and six follow-up visits in the first 2 years. Study retention is 77% to date, with the oldest patients turning age 8 in 2019. FINDINGS TO DATE: NICU-HEALTH has already contributed significantly to our understanding of phthalate exposure in the NICU. Phase I produced the first evidence of the clinical impact of phthalate exposure in the NICU population. Further study identified specific sources of exposure to clinically relevant phthalate mixtures in the NICU. FUTURE PLANS: Follow-up from age 3 to 12 is co-ordinated through integration with the Environmental Influences on Child Health Outcomes (ECHO) programme. The NICU-HEALTH cohort will generate a wealth of biomarker, clinical and outcome data from which future studies of the impact of early-life chemical and non-chemical environmental exposures can benefit. Findings from study of this cohort and other collaborating environmental health cohorts will likely translate into improvements in the hospital environment for infant development. TRIAL REGISTRATION NUMBERS: This observational cohort is registered with ClinicalTrials.gov (NCT01420029 and NCT01963065).
Subject(s)
Environmental Exposure/adverse effects , Infant, Premature , Infant, Very Low Birth Weight , Intensive Care Units, Neonatal , Phthalic Acids/adverse effects , Child Development , Developmental Disabilities/etiology , Female , Humans , Infant , Infant, Newborn , Male , New York City , Prospective Studies , Research DesignABSTRACT
Research using electroencephalography (EEG) as a measure of brain function and maturation has demonstrated links between cortical activity and cognitive processes during infancy and early childhood. The current study examines whether neonatal EEG is correlated with later atypical socioemotional behaviors or neurocognitive delays. Parental report developmental assessments were administered to families with children ages 24 to 36 months who had previously participated in a neonatal EEG study (N = 129). Significant associations were found between neonatal EEG (higher frequencies in the frontal polar, temporal, and parietal brain regions) and BITSEA ASD risk scores. Infants with lower EEG power in these brain areas were more likely to have higher risk of socioemotional problems. When examining sex differences, significant links were found for males but not for females. These results demonstrate some promising associations between early neural biomarkers and later risk for atypical behaviors, which may shape early neurobehavioral development and could lead to earlier identification and intervention.
Subject(s)
Autism Spectrum Disorder/physiopathology , Cerebral Cortex/physiology , Child Development/physiology , Electroencephalography , Emotions/physiology , Individuality , Social Skills , Biomarkers , Cerebral Cortex/physiopathology , Child, Preschool , Female , Humans , Infant, Newborn , Longitudinal Studies , Male , Sex FactorsABSTRACT
OBJECTIVE: To determine normative values for heart rate patterns in healthy fetuses. METHODS: This research is from the Safe Passage Study conducted by the Prenatal Alcohol and SIDS and Stillbirth (PASS) Network. A standardized protocol assessed fetal heart rate (FHR), heart rate variability (HRV), and movement from 1655 fetuses at three-time points during gestation (20-24 weeks, 28-32 weeks, 34-38 weeks gestation). RESULTS: FHR decreased while HRV increased over gestation. At the latter two ages, males had significantly lower FHR than females while there were no sex differences in FHR at 20-24 weeks. When accounting for the fetal state during late gestation (34-28 weeks), we found that males had significantly lower FHR than females in the active fetal state only. CONCLUSION: Results demonstrate significant state, gestational age, and sex-related changes in cardiac activity, somatic activity, and autonomic function as the fetus approaches birth.
Subject(s)
Fetal Monitoring , Gestational Age , Heart Rate, Fetal , Female , Humans , Male , Pregnancy , Reference Values , Regression Analysis , Sex FactorsABSTRACT
OBJECTIVES: The objective of this study was to define the association between the burden of severe hypoxemia (SpO2 ≤70%) in the first week of life and development of severe ICH (grade III/IV) in preterm infants. STUDY DESIGN: Infants born at <32 weeks or weighing <1500 g underwent prospective SpO2 recording from birth through 7 days. Severe hypoxemia burden was calculated as the percentage of the error-corrected recording where SpO2 ≤70%. Binary logistic regression was used to model the relationship between hypoxemia burden and severe ICH. RESULTS: A total of 163.3 million valid SpO2 data points were collected from 645 infants with mean EGA = 27.7 ± 2.6 weeks, BW = 1005 ± 291 g; 38/645 (6%) developed severe ICH. There was a greater mean hypoxemia burden for infants with severe ICH (3%) compared to those without (0.1%) and remained significant when controlling for multiple confounding factors. CONCLUSION: The severe hypoxemia burden in the first week of life is strongly associated with severe ICH.
Subject(s)
Hypoxia , Infant, Premature, Diseases , Intracranial Hemorrhages , Correlation of Data , Female , Gestational Age , Humans , Hypoxia/blood , Hypoxia/diagnosis , Hypoxia/epidemiology , Infant, Newborn , Infant, Premature , Infant, Premature, Diseases/blood , Infant, Premature, Diseases/diagnosis , Infant, Premature, Diseases/epidemiology , Infant, Very Low Birth Weight , Intracranial Hemorrhages/blood , Intracranial Hemorrhages/diagnosis , Intracranial Hemorrhages/epidemiology , Intracranial Hemorrhages/etiology , Male , Oximetry/methods , Oxygen/analysis , Severity of Illness Index , United States/epidemiologyABSTRACT
A putative quantifier of consciousness, integrated information, was applied to preterm infant EEG data after novel pre-processing. Integrated information had a non-random structure as a function of the time lag over which it was computed. For most lags, it increased with age in early life, but even more so in infants exposed to Family Nurture Intervention (FNI), providing further evidence that FNI advances brain maturation in preterm infants. Also, it discriminated between conscious states (awake, REM sleep, NREM sleep), providing empirical support for the Integrated Information Theory of Consciousness in human infants.