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Štuikienė K, Griesmaier E, Aldakauskienė I, Garčinskienė J, Paškauskė M, Šmigelskas K, Rimdeikienė I, Marmienė V, Tamelienė R. The Predictive Value of Amplitude-Integrated Electroencephalography for the Neurodevelopmental Outcomes of Preterm Newborns at 12 Months Corrected Age. CHILDREN (BASEL, SWITZERLAND) 2024; 11:979. [PMID: 39201913 PMCID: PMC11352888 DOI: 10.3390/children11080979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 08/09/2024] [Accepted: 08/13/2024] [Indexed: 09/03/2024]
Abstract
BACKGROUND In clinical practice, it is crucial to identify diagnostic methods that can forecast the neurodevelopmental outcomes of very preterm neonates. Our study aimed to assess the predictive significance of amplitude-integrated electroencephalography (aEEG) for the neurodevelopmental outcomes of preterm infants at 12 months corrected age and to establish the cut-off score that could indicate potential neurodevelopmental impairments. METHODS Preterm neonates born before 32 weeks of gestational age between June 2020 and July 2022 were included in a prospective manner. Amplitude-integrated electroencephalography recordings were conducted at five age intervals (days 1-3; first, second, third and fourth weeks). Recordings were analyzed using the Burdjalov scoring system. The neurodevelopment assessment with Bayley Scales of Infant Development-Second Edition was carried out at 12 months corrected age. RESULTS A total of 140 newborns were included in the study. Neurodevelopment was assessed in 108 infants at 12 months corrected age. Higher total aEEG Burdjalov scores were observed in groups with normal cognitive and motor development. The most sensitive and specific score for prediction of cognitive impairment in 12 months corrected age was an aEEG evaluation of 5.5 according to Burdjalov score within the first three days. The most sensitive and specific score for prediction of motor impairment was 8.5 within the first week. CONCLUSIONS According to our research there is currently not enough data to accurately foresee the development of newborns at 12 months corrected age according to early aEEG test results. However, conducting a research with bigger sample size and repeated evaluations at a later age might increase the prognostic value of aEEG. In this study cut-off scores of aEEG performed early in life to predict later neurodevelopment outcomes were determined.
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Affiliation(s)
- Kristina Štuikienė
- Department of Neonatology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania
| | - Elke Griesmaier
- Department of Pediatrics II, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Ilona Aldakauskienė
- Department of Neonatology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania
| | - Jurgita Garčinskienė
- Department of Neonatology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania
| | - Marija Paškauskė
- Department of Neonatology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania
| | - Kastytis Šmigelskas
- Faculty of Public Health, Health Research Institute, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania
| | - Inesa Rimdeikienė
- Department of Rehabilitation, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania
| | - Vitalija Marmienė
- Department of Psychiatry, Lithuanian University of Health Sciences, 50161 Kaunas, Lithuania
| | - Rasa Tamelienė
- Department of Neonatology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania
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van 't Westende C, Geraedts VJ, van Ramesdonk T, Dudink J, Schoonmade LJ, van der Knaap MS, Stam CJ, van de Pol LA. Neonatal quantitative electroencephalography and long-term outcomes: a systematic review. Dev Med Child Neurol 2022; 64:413-420. [PMID: 34932822 DOI: 10.1111/dmcn.15133] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 10/22/2021] [Accepted: 11/08/2021] [Indexed: 11/29/2022]
Abstract
AIM To evaluate quantitative electroencephalogram (EEG) measures as predictors of long-term neurodevelopmental outcome in infants with a postconceptional age below 46 weeks, including typically developing infants born at term, infants with heterogeneous underlying pathologies, and infants born preterm. METHOD A comprehensive search was performed using PubMed, Embase, and Web of Science from study inception up to 8th January 2021. Studies that examined associations between neonatal quantitative EEG measures, based on conventional and amplitude-integrated EEG, and standardized neurodevelopmental outcomes at 2 years of age or older were reviewed. Significant associations between neonatal quantitative EEG and long-term outcome measures were grouped into one or more of the following categories: cognitive outcome; motor outcome; composite scores; and other standardized outcome assessments. RESULTS Twenty-four out of 1740 studies were included. Multiple studies showed that conventional EEG-based absolute power in the delta, theta, alpha, and beta frequency bands and conventional and amplitude-integrated EEG-related amplitudes were positively associated with favourable long-term outcome across several domains, including cognition and motor performance. Furthermore, a lower presence of discontinuous background pattern was also associated with favourable outcomes. However, interpretation of the results is limited by heterogeneity in study design and populations. INTERPRETATION Neonatal quantitative EEG measures may be used as prognostic biomarkers to identify those infants who will develop long-term difficulties and who might benefit from early interventions.
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Affiliation(s)
- Charlotte van 't Westende
- Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Amsterdam, The Netherlands.,Department of Clinical Neurophysiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Victor J Geraedts
- Departments of Neurology and Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Tino van Ramesdonk
- Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Jeroen Dudink
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Marjo S van der Knaap
- Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Amsterdam, The Netherlands.,Department of Functional Genomics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, the Netherlands
| | - Cornelis J Stam
- Department of Clinical Neurophysiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Laura A van de Pol
- Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Amsterdam, The Netherlands
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Ferber SG, Als H, McAnulty G, Klinger G, Weller A. Multi-level hypothalamic neuromodulation of self-regulation and cognition in preterm infants: Towards a control systems model. COMPREHENSIVE PSYCHONEUROENDOCRINOLOGY 2022; 9:100109. [PMID: 35755927 PMCID: PMC9216652 DOI: 10.1016/j.cpnec.2021.100109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 12/28/2021] [Indexed: 11/21/2022] Open
Abstract
Preterm infants, age-corrected for prematurity, score on average, 10 points lower on IQ tests than full-term infants tested at comparable ages. This review focuses on the potential contribution of the hypothalamus to cognitive neuro-regulatory development in preterm infants through its bidirectional neural connections with the prefrontal cortex and its neuroendocrine activity. It aims to clarify the central role of the hypothalamus in preterm high stress situations and in influencing cognitive development via its connectivity to the cerebral cortex. The review further evaluates epigenomic sensitivity to environmental inputs. Recent results suggest that an optimal range of DNA methylations (via a continuous process of decreasing levels of receptor methylations that are too high, and increasing levels that are too low) appears necessary in order to reach an adaptive level of receptor availability. Several studies have demonstrated amelioration of preterm infants' stress while in the Newborn Intensive Care Unit (NICUs) and following discharge. The authors postulate that feedback mechanisms and correction signals are the basis for a hypothalamic homeostatic modulating function, a "hypothalamic resistance response", which may account for the stress reduction brought about by in- and post-NICU early interventions and their results of promoting self-regulation and cognition.
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Key Words
- Cognitive
- Controlled process variable, (CPV)
- Corticotropin-releasing hormone, (CRH)
- Epigenetics
- Hypothalamic pituitary adrenal axis, (HPA axis)
- Hypothalamic pituitary gonadal axis, (HPG axis)
- Hypothalamic pituitary thyroid axis, (HPT axis)
- Hypothalamus
- Lateral hypothalamus, (LH)
- Magnetic resonance imaging, (MRI)
- Neuro-regulatory development
- Newborn intensive care unit, (NICU)
- Oxytocin, (OT)
- Prefrontal cortex
- Prefrontal cortex, (PFC)
- Premature infants
- Set point, (SP)
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Affiliation(s)
- Sari Goldstein Ferber
- Department of Psychology and the Leslie and Susan Gonda (Goldschmied) Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel
| | - Heidelise Als
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Gloria McAnulty
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Gil Klinger
- Department of Neonatology, Schneider Children's Medical Center, Sackler Medical School, Tel Aviv University, Petach Tikvah, Israel
| | - Aron Weller
- Department of Psychology and the Leslie and Susan Gonda (Goldschmied) Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, Israel
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Nordvik T, Schumacher EM, Larsson PG, Pripp AH, Løhaugen GC, Stiris T. Early spectral EEG in preterm infants correlates with neurocognitive outcomes in late childhood. Pediatr Res 2022; 92:1132-1139. [PMID: 35013563 PMCID: PMC9586859 DOI: 10.1038/s41390-021-01915-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 10/04/2021] [Accepted: 10/31/2021] [Indexed: 11/09/2022]
Abstract
BACKGROUND Evidence regarding the predictive value of early amplitude-integrated electroencephalography (aEEG)/EEG on neurodevelopmental outcomes at school age and beyond is lacking. We aimed to investigate whether there is an association between early postnatal EEG and neurocognitive outcomes in late childhood. METHODS This study is an observational prospective cohort study of premature infants with a gestational age <28 weeks. The total absolute band powers (tABP) of the delta, theta, alpha, and beta bands were analyzed from EEG recordings during the first three days of life. At 10-12 years of age, neurocognitive outcomes were assessed using the Wechsler Intelligence Scale for Children 4th edition (WISC-IV), Vineland adaptive behavior scales 2nd edition, and Behavior Rating Inventory of Executive Function (BRIEF). The mean differences in tABP were assessed for individuals with normal versus unfavorable neurocognitive scores. RESULTS Twenty-two infants were included. tABP values in all four frequency bands were significantly lower in infants with unfavorable results in the main composite scores (full intelligence quotient, adaptive behavior composite score, and global executive composite score) on all three tests (p < 0.05). CONCLUSIONS Early postnatal EEG has the potential to assist in predicting cognitive outcomes at 10-12 years of age in extremely premature infants <28 weeks' gestation. IMPACT Evidence regarding the value of early postnatal EEG in long-term prognostication in preterm infants is limited. Our study suggests that early EEG spectral analysis correlates with neurocognitive outcomes in late childhood in extremely preterm infants. Early identification of infants at-risk of later impairment is important to initiate early and targeted follow-up and intervention.
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Affiliation(s)
- Tone Nordvik
- grid.5510.10000 0004 1936 8921Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway ,grid.55325.340000 0004 0389 8485Department of Neonatal Intensive Care, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Eva M. Schumacher
- grid.55325.340000 0004 0389 8485Department of Neonatal Intensive Care, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Pål G. Larsson
- grid.55325.340000 0004 0389 8485Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
| | - Are H. Pripp
- grid.55325.340000 0004 0389 8485Oslo Center of Biostatistics and Epidemiology, Research Support Services, Oslo University Hospital, Oslo, Norway
| | - Gro C. Løhaugen
- grid.414311.20000 0004 0414 4503Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - Tom Stiris
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway. .,Department of Neonatal Intensive Care, Oslo University Hospital, Ullevål, Oslo, Norway.
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Guo X, Geng Y, Zhang L, Niu S, Xue J. Early Diagnosis of Brain Injury in Premature Infants Based on Amplitude-Integrated EEG Scoring System. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:6684818. [PMID: 33791086 PMCID: PMC7984883 DOI: 10.1155/2021/6684818] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/23/2021] [Accepted: 03/02/2021] [Indexed: 02/03/2023]
Abstract
Analyzing and discussing the relationship between brain injury in preterm infants and related risk factors can provide evidence for perinatal prevention and early intervention of brain injury in preterm infants, thereby improving the quality of life of preterm infants. This paper selects term preterm infants diagnosed with preterm infant asphyxia in the NICU of a university's First Affiliated Hospital from January 2018 to February 2019 as the research object. In addition, healthy term infants born at the same time in the obstetric department of this hospital are selected as the control group. Both groups of premature infants were monitored for brain function within 6 hours after birth. The aEEG results range from background activity (continuous normal voltage, discontinuous normal voltage, burst suppression, continuous low voltage, and plateau) and sleep-wake cycle (no sleep-wake cycle, immature, and mature sleep-wake cycle) to epileptic activity (single seizures, recurrent seizures, and status epilepticus), three aspects to judge. Statistical analysis uses SPSS 17.0 software. Amplitude-integrated EEG is a simplified form of continuous EEG recording. The trace of the trace represents the voltage change signal of the entire EEG background activity, which can reflect the EEG amplitude, frequency, burst-inhibition, and other pieces of information. aEEG can reflect the degree of HIE lesions in premature infants and the long-term prognosis. It is easy to operate and effective in diagnosis and can be continuously monitored. It is worthy of clinical popularization. There is a good correlation between the expression of EEG and biomarkers. Combining multiple methods can diagnose HIE earlier and evaluate the prognosis.
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Affiliation(s)
- Xinyuan Guo
- Department of Neonatology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250033, China
| | - Yanfang Geng
- Huantai County Maternal and Child Health Care Hospital of Zibo City, Zibo, Shandong, 256400, China
| | - Lei Zhang
- Zaozhuang Maternal and Children's Hospital, Zaozhuang, Shandong, 277100, China
| | - Shiping Niu
- Zibo Maternity and Child Health Care Hospital, Zibo, Shandong, 256400, China
| | - Jiang Xue
- Department of Neonatology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250033, China
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