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Zhang Q, Dong X, Jin W, Fan J. Early brain cognitive development in late preterm infants: an event-related potential and resting EEG study. Ital J Pediatr 2024; 50:26. [PMID: 38355639 PMCID: PMC10865666 DOI: 10.1186/s13052-023-01567-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/06/2023] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Late preterm infants (LPIs) are at risk of neurodevelopmental delay. Research on their cognitive development is helpful for early intervention and follow-up. METHODS Event-related potential (ERP) and resting electroencephalography (RS-EEG) were used to study the brain cognitive function of LPIs in the early stage of life. The Gesell Developmental Scale (GDS) was used to track the neurodevelopmental status at the age of 1 year after correction, and to explore the neurophysiological indicators that could predict the outcome of cognitive development in the early stage. RESULTS The results showed that mismatch response (MMR) amplitude, RS-EEG power spectrum and functional connectivity all suggested that LPIs were lagging behind. At the age of 1 year after correction, high-risk LPIs showed no significant delay in gross motor function, but lagged behind in fine motor function, language, personal social interaction and adaptability. The ROC curve was used to evaluate the predictive role of MMR amplitude in the brain cognitive development prognosis at 1 year, showing a sensitivity of 80.00% and a specificity of 90.57%. The area under the curve (AUC) was 0.788, with a P-value of 0.007. CONCLUSIONS Based on our findings we supposed that the cognitive function of LPI lags behind that of full-term infants in early life. Preterm birth and perinatal diseases or high risk factors affected brain cognitive function in LPIs. MMR amplitude can be used as an early predictor of brain cognitive development in LPIs. TRIAL REGISTRATION This clinical trial is registered with the Chinese Clinical Trial Registry (ChiCTR). TRIAL REGISTRATION NUMBER ChiCTR2100041929. Date of registration: 2021-01-10. URL of the trial registry record: https://www.chictr.org.cn/ .
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Affiliation(s)
- Qinfen Zhang
- Children' s Health Research Center, Changzhou Children ' s Hospital of Nantong University, 468 Yanling Middle Road, Tianning District, Changzhou, 213003, Jiangsu, China.
| | - Xuan Dong
- Children' s Health Research Center, Changzhou Children ' s Hospital of Nantong University, 468 Yanling Middle Road, Tianning District, Changzhou, 213003, Jiangsu, China
| | - Wenjie Jin
- Children' s Health Research Center, Changzhou Children ' s Hospital of Nantong University, 468 Yanling Middle Road, Tianning District, Changzhou, 213003, Jiangsu, China
| | - Jiaojiao Fan
- Children' s Health Research Center, Changzhou Children ' s Hospital of Nantong University, 468 Yanling Middle Road, Tianning District, Changzhou, 213003, Jiangsu, China
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2
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Bulgarelli C, Blasi A, McCann S, Milosavljevic B, Ghillia G, Mbye E, Touray E, Fadera T, Acolatse L, Moore SE, Lloyd-Fox S, Elwell CE, Eggebrecht AT. Growth in early infancy drives optimal brain functional connectivity which predicts cognitive flexibility in later childhood. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.02.573930. [PMID: 38260280 PMCID: PMC10802370 DOI: 10.1101/2024.01.02.573930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Functional brain network organization, measured by functional connectivity (FC), reflects key neurodevelopmental processes for healthy development. Early exposure to adversity, e.g. undernutrition, affects neurodevelopment, observable via disrupted FC, and leads to poorer outcomes from preschool age onward. We assessed longitudinally the impact of early growth trajectories on developmental FC in a rural Gambian population from age 5 to 24 months. To investigate how these early trajectories relate to later childhood outcomes, we assessed cognitive flexibility at 3-5 years. We observed that early physical growth before the fifth month of life drove optimal developmental trajectories of FC that in turn predicted cognitive flexibility at pre-school age. In contrast to previously studied developmental populations, this Gambian sample exhibited long-range interhemispheric FC that decreased with age. Our results highlight the measurable effects that poor growth in early infancy has on brain development and the subsequent impact on pre-school age cognitive development, underscoring the need for early life interventions throughout global settings of adversity.
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Affiliation(s)
- Chiara Bulgarelli
- Centre for Brain and Cognitive Development, Birkbeck, University of London, UK
- Department of Medical Physics and Biomedical Engineering, University College London, UK
| | - Anna Blasi
- Department of Medical Physics and Biomedical Engineering, University College London, UK
| | - Samantha McCann
- Department of Women and Children’s Health, King’s College London, UK
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia
| | - Bosiljka Milosavljevic
- Department of Psychology, University of Cambridge, UK
- School of Biological and Experimental Psychology, Queen Mary University of London, UK
| | - Giulia Ghillia
- Department of Women and Children’s Health, King’s College London, UK
| | - Ebrima Mbye
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia
| | - Ebou Touray
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia
| | - Tijan Fadera
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia
| | - Lena Acolatse
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia
- Nutrition Innovation Centre for Food and Health, School of Biomedical Sciences, Ulster University, Ireland
| | - Sophie E. Moore
- Department of Women and Children’s Health, King’s College London, UK
- Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia
| | | | - Clare E. Elwell
- Department of Medical Physics and Biomedical Engineering, University College London, UK
| | - Adam T. Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, USA
| | - BRIGHT Study Team
- The BRIGHT team are (in alphabetic order): Muhammed Ceesay, Kassa Kora, Fabakary Njai, Andrew Prentice, Mariama Saidykhan
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3
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Lopez KL, Monachino AD, Vincent KM, Peck FC, Gabard-Durnam LJ. Stability, change, and reliable individual differences in electroencephalography measures: a lifespan perspective on progress and opportunities. Neuroimage 2023; 275:120116. [PMID: 37169118 DOI: 10.1016/j.neuroimage.2023.120116] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/27/2023] [Accepted: 04/13/2023] [Indexed: 05/13/2023] Open
Abstract
Electroencephalographic (EEG) methods have great potential to serve both basic and clinical science approaches to understand individual differences in human neural function. Importantly, the psychometric properties of EEG data, such as internal consistency and test-retest reliability, constrain their ability to differentiate individuals successfully. Rapid and recent technological and computational advancements in EEG research make it timely to revisit the topic of psychometric reliability in the context of individual difference analyses. Moreover, pediatric and clinical samples provide some of the most salient and urgent opportunities to apply individual difference approaches, but the changes these populations experience over time also provide unique challenges from a psychometric perspective. Here we take a developmental neuroscience perspective to consider progress and new opportunities for parsing the reliability and stability of individual differences in EEG measurements across the lifespan. We first conceptually map the different profiles of measurement reliability expected for different types of individual difference analyses over the lifespan. Next, we summarize and evaluate the state of the field's empirical knowledge and need for testing measurement reliability, both internal consistency and test-retest reliability, across EEG measures of power, event-related potentials, nonlinearity, and functional connectivity across ages. Finally, we highlight how standardized pre-processing software for EEG denoising and empirical metrics of individual data quality may be used to further improve EEG-based individual differences research moving forward. We also include recommendations and resources throughout that individual researchers can implement to improve the utility and reproducibility of individual differences analyses with EEG across the lifespan.
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Affiliation(s)
- K L Lopez
- Northeastern University, 360 Huntington Ave, Boston, MA, United States
| | - A D Monachino
- Northeastern University, 360 Huntington Ave, Boston, MA, United States
| | - K M Vincent
- Northeastern University, 360 Huntington Ave, Boston, MA, United States
| | - F C Peck
- University of California, Los Angeles, Los Angeles, CA, United States
| | - L J Gabard-Durnam
- Northeastern University, 360 Huntington Ave, Boston, MA, United States.
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Lopera‐Perez DC, Nayak S, Stangier G, Tuladhar CT, St. John AM, Grieve PG, Tarullo AR. Infants’ neural sensitivity to social interactions varies by income and infant‐directed speech. Dev Psychobiol 2022; 64:e22265. [DOI: 10.1002/dev.22265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 10/13/2021] [Accepted: 11/24/2021] [Indexed: 11/12/2022]
Affiliation(s)
- Diana C. Lopera‐Perez
- Department of Psychological and Brain Sciences Boston University Boston Massachusetts USA
| | - Srishti Nayak
- Department of Psychological and Brain Sciences Boston University Boston Massachusetts USA
- Department of Otolaryngology—Head & Neck Surgery Vanderbilt University Medical Center Nashville Tennessee USA
| | - Giulia Stangier
- Department of Psychological and Brain Sciences Boston University Boston Massachusetts USA
- Department of Clinical Psychology and Psychotherapy Philipps‐University of Marburg Marburg Germany
| | - Charu T. Tuladhar
- Department of Psychological and Brain Sciences Boston University Boston Massachusetts USA
| | - Ashley M. St. John
- Department of Psychological and Brain Sciences Boston University Boston Massachusetts USA
| | - Philip G. Grieve
- Department of Pediatrics Columbia University Medical Center New York New York USA
| | - Amanda R. Tarullo
- Department of Psychological and Brain Sciences Boston University Boston Massachusetts USA
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Schmidt LA, Poole KL, Krzeczkowski J, Van Lieshout RJ, Saigal S, Mathewson KJ. Long‐term stability of frontal electroencephalogram alpha power and asymmetry at rest in adults born at extremely low or normal birth weight: A 10‐year longitudinal study. Dev Psychobiol 2022; 64:e22256. [DOI: 10.1002/dev.22256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 12/30/2021] [Accepted: 01/23/2022] [Indexed: 11/10/2022]
Affiliation(s)
- Louis A. Schmidt
- Department of Psychology, Neuroscience & Behaviour McMaster University Hamilton Ontario Canada
| | - Kristie L. Poole
- Department of Psychology, Neuroscience & Behaviour McMaster University Hamilton Ontario Canada
| | - John Krzeczkowski
- Department of Psychiatry and Behaviour Neurosciences McMaster University Hamilton Ontario Canada
| | - Ryan J. Van Lieshout
- Department of Psychiatry and Behaviour Neurosciences McMaster University Hamilton Ontario Canada
| | - Saroj Saigal
- Department of Pediatrics McMaster University Hamilton Ontario Canada
| | - Karen J. Mathewson
- Department of Psychology, Neuroscience & Behaviour McMaster University Hamilton Ontario Canada
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6
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Early development of sleep and brain functional connectivity in term-born and preterm infants. Pediatr Res 2022; 91:771-786. [PMID: 33859364 DOI: 10.1038/s41390-021-01497-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 03/11/2021] [Accepted: 03/11/2021] [Indexed: 12/22/2022]
Abstract
The proper development of sleep and sleep-wake rhythms during early neonatal life is crucial to lifelong neurological well-being. Recent data suggests that infants who have poor quality sleep demonstrate a risk for impaired neurocognitive outcomes. Sleep ontogenesis is a complex process, whereby alternations between rudimentary brain states-active vs. wake and active sleep vs. quiet sleep-mature during the last trimester of pregnancy. If the infant is born preterm, much of this process occurs in the neonatal intensive care unit, where environmental conditions might interfere with sleep. Functional brain connectivity (FC), which reflects the brain's ability to process and integrate information, may become impaired, with ensuing risks of compromised neurodevelopment. However, the specific mechanisms linking sleep ontogenesis to the emergence of FC are poorly understood and have received little investigation, mainly due to the challenges of studying causal links between developmental phenomena and assessing FC in newborn infants. Recent advancements in infant neuromonitoring and neuroimaging strategies will allow for the design of interventions to improve infant sleep quality and quantity. This review discusses how sleep and FC develop in early life, the dynamic relationship between sleep, preterm birth, and FC, and the challenges associated with understanding these processes. IMPACT: Sleep in early life is essential for proper functional brain development, which is essential for the brain to integrate and process information. This process may be impaired in infants born preterm. The connection between preterm birth, early development of brain functional connectivity, and sleep is poorly understood. This review discusses how sleep and brain functional connectivity develop in early life, how these processes might become impaired, and the challenges associated with understanding these processes. Potential solutions to these challenges are presented to provide direction for future research.
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7
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Bosch-Bayard J, Biscay RJ, Fernandez T, Otero GA, Ricardo-Garcell J, Aubert-Vazquez E, Evans AC, Harmony T. EEG effective connectivity during the first year of life mirrors brain synaptogenesis, myelination, and early right hemisphere predominance. Neuroimage 2022; 252:119035. [PMID: 35218932 DOI: 10.1016/j.neuroimage.2022.119035] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 11/25/2021] [Accepted: 02/22/2022] [Indexed: 10/19/2022] Open
Abstract
INTRODUCTION The maturation of electroencephalogram (EEG) effective connectivity in healthy infants during the first year of life is described. METHODS Participants: A cross-sectional sample of 125 healthy at-term infants, from 0 to 12 months of age, underwent EEG in a state of quiet sleep. PROCEDURES The EEG primary currents at the source were described with the sLoreta method. An unmixing algorithm was applied to reduce the leakage, and the isolated effective coherence, a direct and directed measurement of information flow, was calculated. RESULTS AND DISCUSSION Initially, the highest indices of connectivity are at the subcortical nuclei, continuing to the parietal lobe, predominantly the right hemisphere, then expanding to temporal, occipital, and finally the frontal areas, which is consistent with the myelination process. Age-related connectivity changes were mostly long-range and bilateral. Connections increased with age, mainly in the right hemisphere, while they mainly decreased in the left hemisphere. Increased connectivity from 20 to 30 Hz, mostly at the right hemisphere. These findings were consistent with right hemisphere predominance during the first three years of life. Theta and alpha connections showed the greatest changes with age. Strong connectivity was found between the parietal, temporal, and occipital regions to the frontal lobes, responsible for executive functions and consistent with behavioral development during the first year. The thalamus exchanges information bidirectionally with all cortical regions and frequency bands. CONCLUSIONS The maturation of EEG connectivity during the first year in healthy infants is very consistent with synaptogenesis, reductions in synaptogenesis, myelination, and functional and behavioral development.
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Affiliation(s)
- Jorge Bosch-Bayard
- McGill Center for Integrative Neuroscience (MCIN), Ludmer Center for Neuroinformatics and Mental Health, Montreal Neurological Institute (MNI), McGill University, Montreal H3A2B4, Canada
| | - Rolando J Biscay
- Centro de Investigación en Matemáticas, Guanajuato 36023, Mexico
| | - Thalia Fernandez
- Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Boulevard Juriquilla 3001, Querétaro 76230, Mexico
| | - Gloria A Otero
- Facultad de Medicina, Universidad Autónoma del Estado de México, Toluca de Lerdo 50180, Mexico
| | - Josefina Ricardo-Garcell
- Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Boulevard Juriquilla 3001, Querétaro 76230, Mexico
| | | | - Alan C Evans
- McGill Center for Integrative Neuroscience (MCIN), Ludmer Center for Neuroinformatics and Mental Health, Montreal Neurological Institute (MNI), McGill University, Montreal H3A2B4, Canada
| | - Thalia Harmony
- Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Boulevard Juriquilla 3001, Querétaro 76230, Mexico.
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Savelyeva N, Palchik A, Kalashnikova T, Anisimov G. Features of the formation of interzonal connections of the brain according to quantitative electroencephalography in full-term and premature infants. Zh Nevrol Psikhiatr Im S S Korsakova 2022; 122:74-80. [DOI: 10.17116/jnevro202212209274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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9
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Pham NT, Nishijo M, Nghiem TTG, Pham TT, Tran NN, Le VQ, Vu TH, Tran HA, Phan HAV, Do Q, Takiguchi T, Nishino Y, Nishijo H. Effects of perinatal dioxin exposure on neonatal electroencephalography (EEG) activity of the quiet sleep stage in the most contaminated area from Agent Orange in Vietnam. Int J Hyg Environ Health 2020; 232:113661. [PMID: 33296778 DOI: 10.1016/j.ijheh.2020.113661] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 10/23/2020] [Accepted: 11/01/2020] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To investigate the effects of perinatal dioxin exposure indicated by dioxins in breast milk on neonatal electroencephalography (EEG) power in the quiet sleep stage, and associations with neurodevelopmental outcomes at 2 years of age. STUDY DESIGN Fifty-one mother-newborn pairs were enrolled for neonatal EEG analysis in the quiet sleep stage from a birth cohort recruited at a prefecture hospital in Bien Hoa city, Vietnam. Relative EEG power in intra-burst-intervals and high-voltage-bursts in the trace alternant pattern were computed from EEG data during the quiet sleep stage. Forty-three mother-child pairs participated in a 2-year follow-up survey to examine neurodevelopment using the Bayley-III scale and gaze behavior exhibited by fixation duration on the face of a child talking in videos. The general linear model and regression linear model were used for data analysis after adjusting for confounding factors. RESULTS Perinatal dioxin exposure, particularly 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) exposure, influenced relative EEG power values mainly in the intra-burst-interval part of the trace alternant pattern in the quiet sleep stage. In intra-burst-intervals, decreased frontal delta power and increased frontal and parietal alpha power values in the left hemisphere and temporal beta power values in the right hemisphere were associated with increased TCDD exposure, with significant dose-response relationships. Almost none of the relative power values in these brain regions were associated with Bayley III scores, but relative delta power values were significantly associated with face fixation duration in left frontal and parietal regions at 2 years of age. CONCLUSION Perinatal dioxin exposure influences neuronal activity in the quiet sleep stage, leading to poor communication ability indicated by gaze behavior in early childhood.
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Affiliation(s)
- Ngoc Thao Pham
- Department of Epidemiology and Public Health, Kanazawa Medical University, Ishikawa, 920-0293, Japan
| | - Muneko Nishijo
- Department of Epidemiology and Public Health, Kanazawa Medical University, Ishikawa, 920-0293, Japan.
| | - Thi Thuy Giang Nghiem
- System Emotional Science, Graduate School of Medicine, University of Toyama, Toyama, Japan
| | - The Tai Pham
- Vietnam Military Medical University, 160 Phung Hung, Ha Dong, Ha Noi, Viet Nam
| | - Ngoc Nghi Tran
- Ministry of Health, Vietnamese Government, Hanoi, Viet Nam
| | - Van Quan Le
- Vietnam Military Medical University, 160 Phung Hung, Ha Dong, Ha Noi, Viet Nam
| | - Thi Hoa Vu
- Department of Epidemiology and Public Health, Kanazawa Medical University, Ishikawa, 920-0293, Japan
| | - Hai Anh Tran
- Vietnam Military Medical University, 160 Phung Hung, Ha Dong, Ha Noi, Viet Nam
| | - Huy Anh Vu Phan
- Department of Health, Dongnai Prefectural Government, Bienhoa, Dongnai, Viet Nam
| | - Quyet Do
- Vietnam Military Medical University, 160 Phung Hung, Ha Dong, Ha Noi, Viet Nam
| | - Tomoya Takiguchi
- Department of Epidemiology and Public Health, Kanazawa Medical University, Ishikawa, 920-0293, Japan
| | - Yoshikazu Nishino
- Department of Epidemiology and Public Health, Kanazawa Medical University, Ishikawa, 920-0293, Japan
| | - Hisao Nishijo
- System Emotional Science, Graduate School of Medicine, University of Toyama, Toyama, Japan
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Wallois F, Routier L, Heberlé C, Mahmoudzadeh M, Bourel-Ponchel E, Moghimi S. Back to basics: the neuronal substrates and mechanisms that underlie the electroencephalogram in premature neonates. Neurophysiol Clin 2020; 51:5-33. [PMID: 33162287 DOI: 10.1016/j.neucli.2020.10.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 10/05/2020] [Accepted: 10/05/2020] [Indexed: 02/06/2023] Open
Abstract
Electroencephalography is the only clinically available technique that can address the premature neonate normal and pathological functional development week after week. The changes in the electroencephalogram (EEG) result from gradual structural and functional modifications that arise during the last trimester of pregnancy. Here, we review the structural changes over time that underlie the establishment of functional immature neural networks, the impact of certain anatomical specificities (fontanelles, connectivity, etc.) on the EEG, limitations in EEG interpretation, and the utility of high-resolution EEG (HR-EEG) in premature newborns (a promising technique with a high degree of spatiotemporal resolution). In particular, we classify EEG features according to whether they are manifestations of endogenous generators (i.e. theta activities that coalesce with a slow wave or delta brushes) or come from a broader network. Furthermore, we review publications on EEG in premature animals because the data provide a better understanding of what is happening in premature newborns. We then discuss the results and limitations of functional connectivity analyses in premature newborns. Lastly, we report on the magnetoelectroencephalographic studies of brain activity in the fetus. A better understanding of complex interactions at various structural and functional levels during normal neurodevelopment (as assessed using electroencephalography as a benchmark method) might lead to better clinical care and monitoring for premature neonates.
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Affiliation(s)
- Fabrice Wallois
- INSERM U1105, Research Group on Multimodal Analysis of Brain Function, Jules Verne University of Picardie, Amiens, France; Service d'Explorations Fonctionnelles du Système Nerveux Pédiatrique, Amiens-Picardie Medical Center, Amiens, France.
| | - Laura Routier
- INSERM U1105, Research Group on Multimodal Analysis of Brain Function, Jules Verne University of Picardie, Amiens, France; Service d'Explorations Fonctionnelles du Système Nerveux Pédiatrique, Amiens-Picardie Medical Center, Amiens, France
| | - Claire Heberlé
- INSERM U1105, Research Group on Multimodal Analysis of Brain Function, Jules Verne University of Picardie, Amiens, France; Service d'Explorations Fonctionnelles du Système Nerveux Pédiatrique, Amiens-Picardie Medical Center, Amiens, France
| | - Mahdi Mahmoudzadeh
- INSERM U1105, Research Group on Multimodal Analysis of Brain Function, Jules Verne University of Picardie, Amiens, France; Service d'Explorations Fonctionnelles du Système Nerveux Pédiatrique, Amiens-Picardie Medical Center, Amiens, France
| | - Emilie Bourel-Ponchel
- INSERM U1105, Research Group on Multimodal Analysis of Brain Function, Jules Verne University of Picardie, Amiens, France; Service d'Explorations Fonctionnelles du Système Nerveux Pédiatrique, Amiens-Picardie Medical Center, Amiens, France
| | - Sahar Moghimi
- INSERM U1105, Research Group on Multimodal Analysis of Brain Function, Jules Verne University of Picardie, Amiens, France; Service d'Explorations Fonctionnelles du Système Nerveux Pédiatrique, Amiens-Picardie Medical Center, Amiens, France
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Hassan R, MacMillan HL, Saigal S, Schmidt LA. Brain, interrupted: alpha/delta EEG ratio in survivors of pre- and post-natal adversity. Int J Neurosci 2020; 132:31-37. [PMID: 32700609 DOI: 10.1080/00207454.2020.1797724] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
RESULTS Young adults born at extremely low birth weight (prenatal adversity; N = 64, Mage = 23.14 years, SDage = 1.26 years) had a lower alpha/delta ratio score compared to normal birth weight controls (N = 76, Mage = 23.60 years, SDage = 1.09 years), while youth exposed to child maltreatment (postnatal adversity; N = 39, Mage = 16.18 years, SDage = 1.15) had a higher alpha/delta ratio compared to controls (N = 23, Mage = 16.00 years, SDage = 1.50 years). CONCLUSIONS Our results suggest that being exposed to pre- and post-natal adversity may have different long-term consequences on brain development. We speculate that these differences might be associated with some of the different functional outcomes known to characterize each type of adverse experience.
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Affiliation(s)
- Raha Hassan
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Harriet L MacMillan
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.,Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Saroj Saigal
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Louis A Schmidt
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada
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12
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White matter injury and neurodevelopmental disabilities: A cross-disease (dis)connection. Prog Neurobiol 2020; 193:101845. [PMID: 32505757 DOI: 10.1016/j.pneurobio.2020.101845] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 05/19/2020] [Accepted: 06/01/2020] [Indexed: 12/13/2022]
Abstract
White matter (WM) injury, once known primarily in preterm newborns, is emerging in its non-focal (diffused), non-necrotic form as a critical component of subtle brain injuries in many early-life diseases like prematurity, intrauterine growth restriction, congenital heart defects, and hypoxic-ischemic encephalopathy. While advances in medical techniques have reduced the number of severe outcomes, the incidence of tardive impairments in complex cognitive functions or psychopathology remains high, with lifelong detrimental effects. The importance of WM in coordinating neuronal assemblies firing and neural groups synchronizing within multiple frequency bands through myelination, even mild alterations in WM structure, may interfere with the cognitive performance that increasing social and learning demands would exploit tardively during children growth. This phenomenon may contribute to explaining longitudinally the high incidence of late-appearing impairments that affect children with a history of perinatal insults. Furthermore, WM abnormalities have been highlighted in several neuropsychiatric disorders, such as autism and schizophrenia. In this review, we gather and organize evidence on how diffused WM injuries contribute to neurodevelopmental disorders through different perinatal diseases and insults. An insight into a possible common, cross-disease, mechanism, neuroimaging and monitoring, biomarkers, and neuroprotective strategies will also be presented.
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13
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Electroencephalographic functional connectivity in extreme prematurity: a pilot study based on graph theory. Pediatr Res 2020; 87:753-759. [PMID: 31726463 DOI: 10.1038/s41390-019-0621-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 09/06/2019] [Accepted: 10/08/2019] [Indexed: 01/18/2023]
Abstract
BACKGROUND Connectivity studies based on functional magnetic resonance imaging (MRI) provided new insights in neonatal brain development but cannot be performed at bedside in the clinical setting. The electroencephalogram (EEG) connectivity has been less studied, particularly using the new approach based on graph theory. This study aimed to explore the functional EEG connectivity using graph theory analysis at an early post-conception age in extremely premature and late-preterm babies free of medical complications and overt brain damage. METHODS Sixteen neonates (8 extremely low gestational age (ELGA) and 8 late-preterm infants), both groups having performed multichannel EEG recordings at 35 weeks' post-conception, were recruited in a single tertiary-level neonatal intensive care unit and well-baby nursery, respectively. Global (i.e., small-worldness) and local (i.e., clustering and strength) connectivity measures were calculated on a single-subject connectivity matrix of EEG data. RESULTS Both ELGA and late-preterm infants showed small-worldness organization at 35 weeks' post-conception. The ELGA group had the strength parameter of the theta frequency band lower in the right than in the left hemisphere. This asymmetry did not emerge in the late-preterm group. Moreover, the mean strength parameter was significantly greater in the right hemisphere in the late preterms than in the ELGA group. CONCLUSION EEG connectivity measures could represent an index of left-to-right maturation and developmental disadvantage in extremely preterm infants.
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14
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Sokoloff G, Hickerson MM, Wen RY, Tobias ME, McMurray B, Blumberg MS. Spatiotemporal organization of myoclonic twitching in sleeping human infants. Dev Psychobiol 2020; 62:697-710. [PMID: 32037557 DOI: 10.1002/dev.21954] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 01/15/2020] [Accepted: 01/18/2020] [Indexed: 11/11/2022]
Abstract
During the perinatal period in mammals when active sleep predominates, skeletal muscles twitch throughout the body. We have hypothesized that myoclonic twitches provide unique insight into the functional status of the human infant's nervous system. However, assessments of the rate and patterning of twitching have largely been restricted to infant rodents. Thus, here we analyze twitching in human infants over the first seven postnatal months. Using videography and behavioral measures of twitching during bouts of daytime sleep, we find at all ages that twitching across the body occurs predominantly in bursts at intervals of 10 s or less. We also find that twitching is expressed differentially across the body and with age. For example, twitching of the face and head is most prevalent shortly after birth and decreases over the first several months. In addition, twitching of the hands and feet occurs at a consistently higher rate than does twitching elsewhere in the body. Finally, the patterning of twitching becomes more structured with age, with twitches of the left and right hands and feet exhibiting the strongest coupling. Altogether, these findings support the notion that twitches can provide a unique source of information about typical and atypical sensorimotor development.
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Affiliation(s)
- Greta Sokoloff
- Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, USA.,DeLTA Center, The University of Iowa, Iowa City, IA, USA.,Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, USA
| | - Meredith M Hickerson
- Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, USA
| | - Rebecca Y Wen
- Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, USA
| | - Megan E Tobias
- Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, USA
| | - Bob McMurray
- Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, USA.,DeLTA Center, The University of Iowa, Iowa City, IA, USA.,Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, USA
| | - Mark S Blumberg
- Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, USA.,DeLTA Center, The University of Iowa, Iowa City, IA, USA.,Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, USA
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15
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Yu YT, Huang WC, Hsieh WS, Chang JH, Lin CH, Hsieh S, Lu L, Yao NJ, Fan PC, Lee CL, Tu YK, Jeng SF. Family-Centered Care Enhanced Neonatal Neurophysiological Function in Preterm Infants: Randomized Controlled Trial. Phys Ther 2019; 99:1690-1702. [PMID: 31504897 DOI: 10.1093/ptj/pzz120] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 07/24/2018] [Accepted: 04/26/2019] [Indexed: 11/14/2022]
Abstract
BACKGROUND Family-centered intervention for preterm infants has shown short- to medium-term developmental benefits; however, the neurological effects of intervention have rarely been explored. OBJECTIVE The objectives of this study were to examine the effect of a family-centered intervention program (FCIP) on neurophysiological functions in preterm infants with very low birth weight (VLBW; birth weight of < 1500 g) in Taiwan, to compare the effect of the FCIP with that of a usual-care program (UCP), and to explore the FCIP-induced changes in neurobehavioral and neurophysiological functions. DESIGN This was a multicenter, single-blind randomized controlled trial. SETTING The study took place in 3 medical centers in northern and southern Taiwan. PARTICIPANTS Two hundred fifty-one preterm infants with VLBW were included. INTERVENTION The FCIP group received a family-centered intervention and the UCP group received standard care during hospitalization. MEASUREMENTS Infants were assessed in terms of neurobehavioral performance using the Neonatal Neurobehavioral Examination-Chinese version, and their neurophysiological function was assessed using electroencephalography/event-related potentials during sleep and during an auditory oddball task during the neonatal period. RESULTS The FCIP promoted more mature neurophysiological function than the UCP, including greater negative mean amplitudes of mismatch negativities in the left frontal region in the oddball task in all infants, lower intrahemispheric prefrontal-central coherence during sleep in infants who were small for gestational age, and higher interhemispheric frontal coherence during sleep in those who were appropriate for gestational age. Furthermore, interhemispheric coherence was positively associated with the total neurobehavioral score in preterm infants who were appropriate for gestational age (r = 0.20). LIMITATIONS The fact that more parental adherence strategies were used in the FCIP group than in the UCP group might have favored the intervention effect in this study. CONCLUSIONS Family-centered intervention facilitates short-term neurophysiological maturation in preterm infants with VLBW in Taiwan.
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Affiliation(s)
- Yen-Ting Yu
- Institute of Physical Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan; and Department of Psychology, National Cheng Kung University, Tainan, Taiwan
| | - Wan-Chi Huang
- Institute of Physical Therapy, College of Medicine, National Taiwan University; and Department of Physical Medicine and Rehabilitation, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan
| | - Wu-Shiun Hsieh
- Department of Pediatrics, National Taiwan University Hospital, Taipei, Taiwan
| | - Jui-Hsing Chang
- Department of Pediatrics, MacKay Memorial Hospital, Taipei, Taiwan
| | - Chyi-Her Lin
- Department of Psychology, National Cheng Kung University
| | - Shulan Hsieh
- Department of Psychology, National Cheng Kung University; Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University; and Department and Institute of Public Health, National Cheng Kung University
| | - Lu Lu
- Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital
| | - Nai-Jia Yao
- Institute of Physical Therapy, College of Medicine, National Taiwan University
| | - Pi-Chuan Fan
- Department of Pediatrics, National Taiwan University Hospital
| | - Chia-Lin Lee
- Institute of Linguistics, National Taiwan University
| | - Yu-Kang Tu
- Institute of Epidemiology, College of Public Health, National Taiwan University
| | - Suh-Fang Jeng
- Institute of Physical Therapy, College of Medicine, National Taiwan University, Floor 3, No 17, Xu-Zhou Road, 100 Taipei, Taiwan; and Physical Therapy Center, National Taiwan University Hospital
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16
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Nghiem GT, Nishijo M, Pham TN, Ito M, Pham TT, Tran AH, Nishimaru H, Nishino Y, Nishijo H. Adverse effects of maternal dioxin exposure on fetal brain development before birth assessed by neonatal electroencephalography (EEG) leading to poor neurodevelopment; a 2-year follow-up study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 667:718-729. [PMID: 30849612 DOI: 10.1016/j.scitotenv.2019.02.395] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Revised: 02/13/2019] [Accepted: 02/25/2019] [Indexed: 06/09/2023]
Abstract
We previously reported the adverse effects of perinatal dioxin exposure on child neurodevelopment around a former US military airbase in Vietnam. In the present study, we investigated the effects of maternal dioxin exposure on fetal brain development, which may predict neurodevelopmental outcomes in early childhood. A total of 55 newborns with mothers from dioxin-contaminated areas were recruited in the prefecture hospital in Bien Hoa, Vietnam. Dioxins in maternal breast milk collected 1 month after birth were used as a maternal exposure marker. Relative powers and coherence were computed from neonatal electroencephalogram (EEG) records during active sleep stages. Relationships between the EEG parameters and dioxin exposure markers were analyzed using linear regression and a general linear model after adjusting for gestational age, body length, and head circumference of infants at birth. Using data from 47 infants whose neurodevelopment was examined in a 2-year follow-up study, associations between EEG parameters and neurodevelopment were analyzed after adjusting for confounding factors. On the right frontal and parietal regions, relative delta powers were significantly decreased, and relative alpha and beta powers were significantly increased with increasing dioxin exposure. Increases in delta power and decreases in alpha power on the right frontal and parietal regions were associated with an increase in language scores at 2 years of age. Furthermore, intra- and inter-hemispheric coherence in theta and alpha bands were positively and inversely correlated with dioxin exposure, respectively, and increased intra-coherence in the right hemisphere was associated with lower language scores. These findings suggest that prenatal dioxin exposure affects neuronal activity and functional connectivity between brain regions, and may lead to poor language development.
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Affiliation(s)
- GiangThi Thuy Nghiem
- System Emotional Science, Graduate School of Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Muneko Nishijo
- Department of Public Health, Kanazawa Medical University, Ishikawa 920-0293, Japan.
| | - Thao Ngoc Pham
- Department of Public Health, Kanazawa Medical University, Ishikawa 920-0293, Japan
| | - Mika Ito
- Department of Obstetrics and Gynecology, University of Toyama, Toyama 930-0194, Japan
| | - Tai The Pham
- Biomedical and Pharmaceutical Research Center, Vietnamese Military Medical University, Hanoi, Viet Nam
| | - Anh Hai Tran
- Biomedical and Pharmaceutical Research Center, Vietnamese Military Medical University, Hanoi, Viet Nam
| | - Hiroshi Nishimaru
- System Emotional Science, Graduate School of Medicine, University of Toyama, Toyama 930-0194, Japan
| | - Yoshikazu Nishino
- Department of Public Health, Kanazawa Medical University, Ishikawa 920-0293, Japan
| | - Hisao Nishijo
- System Emotional Science, Graduate School of Medicine, University of Toyama, Toyama 930-0194, Japan
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17
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Brito NH, Fifer WP, Amso D, Barr R, Bell MA, Calkins S, Flynn A, Montgomery-Downs HE, Oakes LM, Richards JE, Samuelson LM, Colombo J. Beyond the Bayley: Neurocognitive Assessments of Development During Infancy and Toddlerhood. Dev Neuropsychol 2019; 44:220-247. [PMID: 30616391 PMCID: PMC6399032 DOI: 10.1080/87565641.2018.1564310] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2018] [Revised: 12/15/2018] [Accepted: 12/17/2018] [Indexed: 10/27/2022]
Abstract
The use of global, standardized instruments is conventional among clinicians and researchers interested in assessing neurocognitive development. Exclusively relying on these tests for evaluating effects may underestimate or miss specific effects on early cognition. The goal of this review is to identify alternative measures for possible inclusion in future clinical trials and interventions evaluating early neurocognitive development. The domains included for consideration are attention, memory, executive function, language, and socioemotional development. Although domain-based tests are limited, as psychometric properties have not yet been well-established, this review includes tasks and paradigms that have been reliably used across various developmental psychology laboratories.
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Affiliation(s)
- Natalie H Brito
- a Department of Applied Psychology , New York University , New York , NY , USA
| | - William P Fifer
- b Division of Developmental Neuroscience , New York State Psychiatric Institute , New York , NY , USA
| | - Dima Amso
- c Department of Cognitive, Linguistic, and Psychological Sciences , Brown University , Providence , RI , USA
| | - Rachel Barr
- d Department of Psychology , Georgetown University , Washington , DC , USA
| | - Martha Ann Bell
- e Department of Psychology , Virginia Tech , Blacksburg , VA , USA
| | - Susan Calkins
- f Department of Human Development and Family Studies , University of North Carolina at Greensboro , Greensboro , NC , USA
| | - Albert Flynn
- g School of Food and Nutritional Sciences , University College Cork , Cork , Ireland
| | | | - Lisa M Oakes
- i Department of Psychology , University of California , Davis , CA , USA
| | - John E Richards
- j Department of Psychology , University of South Carolina , Columbia , SC , USA
| | | | - John Colombo
- l Department of Psychology , University of Kansas , Lawrence , KS , USA
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18
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van de Pol LA, van ’t Westende C, Zonnenberg I, Koedam E, van Rossum I, de Haan W, Steenweg M, van Straaten EC, Stam CJ. Strong Relation Between an EEG Functional Connectivity Measure and Postmenstrual Age: A New Potential Tool for Measuring Neonatal Brain Maturation. Front Hum Neurosci 2018; 12:286. [PMID: 30065640 PMCID: PMC6056611 DOI: 10.3389/fnhum.2018.00286] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Accepted: 06/26/2018] [Indexed: 01/08/2023] Open
Abstract
Fetal and neonatal brain connectivity development is highly complex. Studies have shown that functional networks change dramatically during development. The purpose of the current study was to determine how the mean phase lag index (mPLI), a measure of functional connectivity (FC), assessed with electroencephalography (EEG), changes with postmenstrual age (PMA) during the early stages of brain development after birth. Neonates (N = 131) with PMA 27.6-45.3 weeks who underwent an EEG for a medical reason were retrospectively studied. For each recording, global FC was assessed by obtaining a whole-head average of all local PLI values (pairwise between sensor space EEG signals). Global FC results were consequently correlated with PMA values in seven frequency bands. Local results were obtained for the frequency band with the strongest global association. There was a strong negative correlation between mPLI and PMA in most frequency bands. The strongest association was found in the delta frequency band (R = -0.616, p < 0.001) which was therefore topographically explored; the strongest correlations were between pairs of electrodes with at least one electrode covering the central sulcus. Even in this heterogeneous group of neonates, global FC strongly reflects PMA. The decrease in PLI may reflect the process of segregation of specific brain regions with increasing PMA. This was mainly found in the central brain regions, in parallel with myelination of these areas during early development. In the future, there may be a role for PLI in detecting atypical FC maturation. Moreover, PLI could be used to develop biomarkers for brain maturation and expose segregation processes in the neonatal brain.
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Affiliation(s)
| | | | - Inge Zonnenberg
- Department of Neonatology, VU University Medical Center, Amsterdam, Netherlands
| | - Esther Koedam
- Department of Neurology, VU University Medical Center, Amsterdam, Netherlands
| | - Ineke van Rossum
- Department of Neurology, VU University Medical Center, Amsterdam, Netherlands
| | - Willem de Haan
- Department of Neurology, VU University Medical Center, Amsterdam, Netherlands
| | - Marjan Steenweg
- Department of Child Neurology, VU University Medical Center, Amsterdam, Netherlands
| | | | - Cornelis Jan Stam
- Department of Clinical Neurophysiology, VU University Medical Center, Amsterdam, Netherlands
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19
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Lavanga M, De Wel O, Caicedo A, Jansen K, Dereymaeker A, Naulaers G, Van Huffel S. A brain-age model for preterm infants based on functional connectivity. Physiol Meas 2018; 39:044006. [DOI: 10.1088/1361-6579/aabac4] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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20
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Bulgarelli C, Blasi A, Arridge S, Powell S, de Klerk CCJM, Southgate V, Brigadoi S, Penny W, Tak S, Hamilton A. Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset. Neuroimage 2018; 175:413-424. [PMID: 29655936 PMCID: PMC5971219 DOI: 10.1016/j.neuroimage.2018.04.022] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Revised: 03/19/2018] [Accepted: 04/09/2018] [Indexed: 01/25/2023] Open
Abstract
Tracking the connectivity of the developing brain from infancy through childhood is an area of increasing research interest, and fNIRS provides an ideal method for studying the infant brain as it is compact, safe and robust to motion. However, data analysis methods for fNIRS are still underdeveloped compared to those available for fMRI. Dynamic causal modelling (DCM) is an advanced connectivity technique developed for fMRI data, that aims to estimate the coupling between brain regions and how this might be modulated by changes in experimental conditions. DCM has recently been applied to adult fNIRS, but not to infants. The present paper provides a proof-of-principle for the application of this method to infant fNIRS data and a demonstration of the robustness of this method using a simultaneously recorded fMRI-fNIRS single case study, thereby allowing the use of this technique in future infant studies. fMRI and fNIRS were simultaneously recorded from a 6-month-old sleeping infant, who was presented with auditory stimuli in a block design. Both fMRI and fNIRS data were preprocessed using SPM, and analysed using a general linear model approach. The main challenges that adapting DCM for fNIRS infant data posed included: (i) the import of the structural image of the participant for spatial pre-processing, (ii) the spatial registration of the optodes on the structural image of the infant, (iii) calculation of an accurate 3-layer segmentation of the structural image, (iv) creation of a high-density mesh as well as (v) the estimation of the NIRS optical sensitivity functions. To assess our results, we compared the values obtained for variational Free Energy (F), Bayesian Model Selection (BMS) and Bayesian Model Average (BMA) with the same set of possible models applied to both the fMRI and fNIRS datasets. We found high correspondence in F, BMS, and BMA between fMRI and fNIRS data, therefore showing for the first time high reliability of DCM applied to infant fNIRS data. This work opens new avenues for future research on effective connectivity in infancy by contributing a data analysis pipeline and guidance for applying DCM to infant fNIRS data. Connectivity studies give important insights into infant brain development. fNIRS is a valuable method for infancy studies, but can we analyse connectivity? On fMRI-fNIRS acquired simultaneously, we estimate effective connectivity with DCM. We showed high correspondence of DCM values between fMRI and fNIRS data. We validated DCM on fNIRS infant data, providing guidance for future projects.
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Affiliation(s)
- Chiara Bulgarelli
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, United Kingdom.
| | - Anna Blasi
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, United Kingdom
| | - Simon Arridge
- Centre for Medical Image Computing, University College London, United Kingdom
| | - Samuel Powell
- Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom
| | - Carina C J M de Klerk
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, United Kingdom
| | | | - Sabrina Brigadoi
- Department of Developmental Psychology, University of Padova, Italy
| | - William Penny
- School of Psychology, University of East Anglia, Norwich, United Kingdom
| | - Sungho Tak
- Bioimaging Research Team, Korea Basic Science Institute, South Korea
| | - Antonia Hamilton
- Institute of Cognitive Neuroscience, University College London, United Kingdom
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21
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Newborn electroencephalographic correlates of maternal prenatal depressive symptoms. J Dev Orig Health Dis 2018; 9:381-385. [PMID: 29508679 DOI: 10.1017/s2040174418000089] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Maternal perinatal depression exerts pervasive effects on the developing brain, as evidenced by electroencephalographic (EEG) patterns that differ between children of women who do and do not meet DSM or ICD diagnostic criteria. However, little research has examined if the same EEG pattern of right-frontal alpha asymmetry exists in newborns and thus originates in utero independent of postnatal influences, and if depressive symptoms are associated with this neural signature. Utilizing 125-lead EEG (n=18), this study considered clinician-rated maternal prenatal depressive symptoms in relation to newborn EEG. Maternal depressive symptomatology was associated with greater relative right-frontal alpha asymmetry during quiet sleep. These results suggest that even subclinical levels of maternal depression may influence infant brain development, and further support the role of the prenatal environment in shaping children's future neurobehavioral trajectories.
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22
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Welch MG, Stark RI, Grieve PG, Ludwig RJ, Isler JR, Barone JL, Myers MM. Family nurture intervention in preterm infants increases early development of cortical activity and independence of regional power trajectories. Acta Paediatr 2017; 106:1952-1960. [PMID: 28850710 DOI: 10.1111/apa.14050] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 08/17/2017] [Accepted: 08/23/2017] [Indexed: 12/15/2022]
Abstract
AIM Premature delivery and maternal separation during hospitalisation increase infant neurodevelopmental risk. Previously, a randomised controlled trial of Family Nurture Intervention (FNI) in the neonatal intensive care unit demonstrated improvement across multiple mother and infant domains including increased electroencephalographic (EEG) power in the frontal polar region at term age. New aims were to quantify developmental changes in EEG power in all brain regions and frequencies and correlate developmental changes in EEG power among regions. METHODS EEG (128 electrodes) was obtained at 34-44 weeks postmenstrual age from preterm infants born 26-34 weeks. Forty-four infants were treated with Standard Care and 53 with FNI. EEG power was computed in 10 frequency bands (1-48 Hz) in 10 brain regions and in active and quiet sleep. RESULTS Percent change/week in EEG power was increased in FNI in 132/200 tests (p < 0.05), 117 tests passed a 5% False Discovery Rate threshold. In addition, FNI demonstrated greater regional independence in those developmental rates of change. CONCLUSION This study strengthens the conclusion that FNI promotes cerebral cortical development of preterm infants. The findings indicate that developmental changes in EEG may provide biomarkers for risk in preterm infants as well as proximal markers of effects of FNI.
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Affiliation(s)
- Martha G. Welch
- Department of Pediatrics; Columbia University College of Physicians & Surgeons; New York USA
- Department of Psychiatry; Columbia University College of Physicians & Surgeons; New York USA
- Department of Developmental Neuroscience; New York State Psychiatric Institute; New York USA
- Department of Pathology & Cell Biology; Columbia University College of Physicians & Surgeons; New York USA
| | - Raymond I. Stark
- Department of Pediatrics; Columbia University College of Physicians & Surgeons; New York USA
| | - Philip G. Grieve
- Department of Pediatrics; Columbia University College of Physicians & Surgeons; New York USA
| | - Robert J. Ludwig
- Department of Pediatrics; Columbia University College of Physicians & Surgeons; New York USA
| | - Joseph R. Isler
- Department of Pediatrics; Columbia University College of Physicians & Surgeons; New York USA
| | - Joseph L. Barone
- Department of Pediatrics; Columbia University College of Physicians & Surgeons; New York USA
| | - Michael M. Myers
- Department of Pediatrics; Columbia University College of Physicians & Surgeons; New York USA
- Department of Psychiatry; Columbia University College of Physicians & Surgeons; New York USA
- Department of Developmental Neuroscience; New York State Psychiatric Institute; New York USA
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23
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Kaminska A, Delattre V, Laschet J, Dubois J, Labidurie M, Duval A, Manresa A, Magny JF, Hovhannisyan S, Mokhtari M, Ouss L, Boissel A, Hertz-Pannier L, Sintsov M, Minlebaev M, Khazipov R, Chiron C. Cortical Auditory-Evoked Responses in Preterm Neonates: Revisited by Spectral and Temporal Analyses. Cereb Cortex 2017; 28:3429-3444. [DOI: 10.1093/cercor/bhx206] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Indexed: 11/12/2022] Open
Affiliation(s)
- A Kaminska
- INSERM U1129, Paris, France
- Paris Descartes University, Sorbonne Paris Cité, Paris, France
- CEA, 91191 Gif sur Yvette, France
- Department of Clinical Neurophysiology, AP-HP, Necker-Enfants Malades Hospital, Paris, France
| | - V Delattre
- INSERM U1129, Paris, France
- Paris Descartes University, Sorbonne Paris Cité, Paris, France
- CEA, 91191 Gif sur Yvette, France
- Neurospin, UNIACT, CEA, Gif sur Yvette, France
| | - J Laschet
- INSERM U1129, Paris, France
- Paris Descartes University, Sorbonne Paris Cité, Paris, France
- CEA, 91191 Gif sur Yvette, France
| | - J Dubois
- INSERM U992, CEA/DRF/I2BM/Neurospin/UNICOG, Gif-sur-Yvette, France
- Paris Saclay University, Paris-Sud University, Gif-sur-Yvette, France
| | - M Labidurie
- INSERM U1129, Paris, France
- Paris Descartes University, Sorbonne Paris Cité, Paris, France
- CEA, 91191 Gif sur Yvette, France
| | - A Duval
- INSERM U1129, Paris, France
- Paris Descartes University, Sorbonne Paris Cité, Paris, France
- CEA, 91191 Gif sur Yvette, France
- Neurospin, UNIACT, CEA, Gif sur Yvette, France
| | - A Manresa
- Laboratory of Psychology and Neurosciences (LPN) (EA 47000), Rouen University, Rouen, France
| | - J -F Magny
- Neonatal Intensive Care Unit, AP-HP, Necker-Enfants Malades Hospital, Paris, France
| | - S Hovhannisyan
- Neonatal Intensive Care Unit, AP-HP, Necker-Enfants Malades Hospital, Paris, France
| | - M Mokhtari
- Neonatal Intensive Care Unit, AP-HP, Bicetre Hospital, Kremlin-Bicetre, France
| | - L Ouss
- Department of Pediatric Neurology, AP-HP, Necker-Enfants Malades Hospital, Paris, France
| | - A Boissel
- Laboratory of Psychology and Neurosciences (LPN) (EA 47000), Rouen University, Rouen, France
| | - L Hertz-Pannier
- INSERM U1129, Paris, France
- Paris Descartes University, Sorbonne Paris Cité, Paris, France
- CEA, 91191 Gif sur Yvette, France
- Neurospin, UNIACT, CEA, Gif sur Yvette, France
| | - M Sintsov
- Laboratory of Neurobiology, Kazan Federal University, Kazan, Russia
| | - M Minlebaev
- Laboratory of Neurobiology, Kazan Federal University, Kazan, Russia
- INSERM U901/ INMED, Aix-Marseille University, Marseille, France
| | - R Khazipov
- Laboratory of Neurobiology, Kazan Federal University, Kazan, Russia
- INSERM U901/ INMED, Aix-Marseille University, Marseille, France
| | - C Chiron
- INSERM U1129, Paris, France
- Paris Descartes University, Sorbonne Paris Cité, Paris, France
- CEA, 91191 Gif sur Yvette, France
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24
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Kota S, du Plessis A, Massaro AN, Al-Shargabi T, Govindan RB. A frequency based spatial filter to mitigate volume conduction in electroencephalogram signals. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2017; 2016:4001-4004. [PMID: 28269162 DOI: 10.1109/embc.2016.7591604] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Volume conduction is a major problem in spatial-temporal electroencephalogram (EEG) signals. We propose a frequency dependent subtraction approach to address the volume conduction problem in EEG signals. We validate the proposed approach using simulated data and discuss the application of the approach to the EEG data recorded from three sick infants. The frequency dependent subtraction mitigated the common signal better than the traditionally used re-referencing the EEG signals to the global average of EEG from all electrodes. Furthermore, the frequency-based approach also attenuated the other interfering signals such as noise from power line and mechanical ventilators used to support patients.
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Tóth B, Urbán G, Háden GP, Márk M, Török M, Stam CJ, Winkler I. Large-scale network organization of EEG functional connectivity in newborn infants. Hum Brain Mapp 2017; 38:4019-4033. [PMID: 28488308 DOI: 10.1002/hbm.23645] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Revised: 04/26/2017] [Accepted: 04/28/2017] [Indexed: 12/12/2022] Open
Abstract
The organization of functional brain networks changes across human lifespan. The present study analyzed functional brain networks in healthy full-term infants (N = 139) within 1-6 days from birth by measuring neural synchrony in EEG recordings during quiet sleep. Large-scale phase synchronization was measured in six frequency bands with the Phase Lag Index. Macroscopic network organization characteristics were quantified by constructing unweighted minimum spanning tree graphs. The cortical networks in early infancy were found to be significantly more hierarchical and had a more cost-efficient organization compared with MST of random control networks, more so in the theta and alpha than in other frequency bands. Frontal and parietal sites acted as the main hubs of these networks, the topological characteristics of which were associated with gestation age (GA). This suggests that individual differences in network topology are related to cortical maturation during the prenatal period, when functional networks shift from strictly centralized toward segregated configurations. Hum Brain Mapp 38:4019-4033, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Brigitta Tóth
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
| | - Gábor Urbán
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.,Department of Cognitive Science, Faculty of Natural Sciences, Budapest University of Technology and Economics, Budapest, Hungary
| | - Gábor P Háden
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
| | - Molnár Márk
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
| | - Miklós Török
- Department of Obstetrics-Gynaecology and Perinatal Intensive Care Unit, Military Hospital, Budapest, Hungary
| | - Cornelis Jan Stam
- Department of Clinical Neurophysiology, VU University Medical Center, Amsterdam, Netherlands
| | - István Winkler
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
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Isler JR, Thai T, Myers MM, Fifer WP. An automated method for coding sleep states in human infants based on respiratory rate variability. Dev Psychobiol 2016; 58:1108-1115. [PMID: 27761898 PMCID: PMC5119274 DOI: 10.1002/dev.21482] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 06/24/2016] [Indexed: 11/05/2022]
Abstract
A novel quantitative method for coding epochs of active and quiet sleep in infants using respiration is reported. The approach uses the variance of the instantaneous breathing rate within brief epochs of sleep. Variances are normalized within subject by dividing by the 75th percentile variance across epochs. Then, a normalized variance active sleep threshold of 0.29 was determined to produce the highest concordance with a method based on visual inspection of respiratory variability (100% and 90% for quiet and active sleep, respectively). The method was independently validated by comparing to standard polysomnographic state coding (87% and 80% concordance for quiet and active sleep) as well as with behavioral state coding (92% and 78% for quiet and active sleep). Validity was also demonstrated by showing that sleep states identified by the method resulted in the expected state differences in infant heart rate variability and electrocortical activity.
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Affiliation(s)
- Joseph R. Isler
- Department of Pediatrics, Columbia University Medical Center, New York, NY
| | - Tracy Thai
- Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY
| | - Michael M. Myers
- Department of Pediatrics, Columbia University Medical Center, New York, NY
- Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY
- Department of Psychiatry, Columbia University Medical Center, New York, NY
| | - William P. Fifer
- Department of Pediatrics, Columbia University Medical Center, New York, NY
- Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY
- Department of Psychiatry, Columbia University Medical Center, New York, NY
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Parikh NA. Advanced neuroimaging and its role in predicting neurodevelopmental outcomes in very preterm infants. Semin Perinatol 2016; 40:530-541. [PMID: 27863706 PMCID: PMC5951398 DOI: 10.1053/j.semperi.2016.09.005] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Up to 35% of very preterm infants survive with neurodevelopmental impairments (NDI) such as cognitive deficits, cerebral palsy, and attention deficit disorder. Advanced MRI quantitative tools such as brain morphometry, diffusion MRI, magnetic resonance spectroscopy, and functional MRI at term-equivalent age are ideally suited to improve current efforts to predict later development of disabilities. This would facilitate application of targeted early intervention therapies during the first few years of life when neuroplasticity is optimal. A systematic search and review identified 47 published studies of advanced MRI to predict NDI. Diffusion MRI and morphometry studies were the most commonly studied modalities. Despite several limitations, studies clearly showed that brain structural and metabolite biomarkers are promising independent predictors of NDI. Large representative multicenter studies are needed to validate these studies.
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Affiliation(s)
- Nehal A. Parikh
- Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH,Correspondence address: Cincinnati Children’s Hospital, Perinatal Institute, 3333 Burnet Ave., MLC 7009, Cincinnati, OH.
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Meijer EJ, Niemarkt HJ, Raaijmakers IPPC, Mulder AM, van Pul C, Wijn PFF, Andriessen P. Interhemispheric connectivity estimated from EEG time-correlation analysis in preterm infants with normal follow-up at age of five. Physiol Meas 2016; 37:2286-2298. [DOI: 10.1088/1361-6579/37/12/2286] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Birca A, Vakorin VA, Porayette P, Madathil S, Chau V, Seed M, Doesburg SM, Blaser S, Nita DA, Sharma R, Duerden EG, Hickey EJ, Miller SP, Hahn CD. Interplay of brain structure and function in neonatal congenital heart disease. Ann Clin Transl Neurol 2016; 3:708-22. [PMID: 27648460 PMCID: PMC5018583 DOI: 10.1002/acn3.336] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2016] [Accepted: 07/05/2016] [Indexed: 12/16/2022] Open
Abstract
Objective To evaluate whether structural and microstructural brain abnormalities in neonates with congenital heart disease (CHD) correlate with neuronal network dysfunction measured by analysis of EEG connectivity. Methods We studied a prospective cohort of 20 neonates with CHD who underwent continuous EEG monitoring before surgery to assess functional brain maturation and network connectivity, structural magnetic resonance imaging (MRI) to determine the presence of brain injury and structural brain development, and diffusion tensor MRI to assess brain microstructural development. Results Neonates with MRI brain injury and delayed structural and microstructural brain development demonstrated significantly stronger high‐frequency (beta and gamma frequency band) connectivity. Furthermore, neonates with delayed microstructural brain development demonstrated significantly weaker low‐frequency (delta, theta, alpha frequency band) connectivity. Neonates with brain injury also displayed delayed functional maturation of EEG background activity, characterized by greater background discontinuity. Interpretation These data provide new evidence that early structural and microstructural developmental brain abnormalities can have immediate functional consequences that manifest as characteristic alterations of neuronal network connectivity. Such early perturbations of developing neuronal networks, if sustained, may be responsible for the persistent neurocognitive impairment prevalent in adolescent survivors of CHD. These foundational insights into the complex interplay between evolving brain structure and function may have relevance for a wide spectrum of neurological disorders manifesting early developmental brain injury.
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Affiliation(s)
- Ala Birca
- Division of Neurology Department of Paediatrics The Hospital for Sick Children and the University of Toronto Toronto Canada; Division of Neurology Department of Neuroscience CHU Sainte-Justine and the University of Montreal Montreal Canada
| | - Vasily A Vakorin
- Department of Biomedical Physiology and Kinesiology Simon Fraser University Burnaby Canada
| | - Prashob Porayette
- Division of Cardiology Department of Paediatrics The Hospital for Sick Children and the University of Toronto Toronto Canada
| | - Sujana Madathil
- Program in Neurosciences and Mental Health SickKids Research Institute Toronto Canada
| | - Vann Chau
- Division of Neurology Department of Paediatrics The Hospital for Sick Children and the University of Toronto Toronto Canada; Program in Neurosciences and Mental Health Sick Kids Research Institute Toronto Canada
| | - Mike Seed
- Division of Cardiology Department of PaediatricsThe Hospital for Sick Children and the University of Toronto Toronto Canada; Program in Neurosciences and Mental Health Sick Kids Research Institute Toronto Canada
| | - Sam M Doesburg
- Department of Biomedical Physiology and Kinesiology Simon Fraser University Burnaby Canada
| | - Susan Blaser
- Program in Neurosciences and Mental Health Sick Kids Research Institute Toronto Canada; Department of Diagnostic Imaging The Hospital for Sick Children Toronto Canada
| | - Dragos A Nita
- Division of Neurology Department of Paediatrics The Hospital for Sick Children and the University of Toronto Toronto Canada; Program in Neurosciences and Mental Health Sick Kids Research Institute Toronto Canada
| | - Rohit Sharma
- Division of Neurology Department of Paediatrics The Hospital for Sick Children and the University of Toronto Toronto Canada
| | - Emma G Duerden
- Program in Neurosciences and Mental Health SickKids Research Institute Toronto Canada
| | - Edward J Hickey
- Program in Neurosciences and Mental Health Sick Kids Research Institute Toronto Canada; Division of Cardiovascular Surgery Department of Surgery The Hospital for Sick Children and the University of Toronto Toronto Canada
| | - Steven P Miller
- Division of Neurology Department of Paediatrics The Hospital for Sick Children and the University of Toronto Toronto Canada; Program in Neurosciences and Mental Health Sick Kids Research Institute Toronto Canada
| | - Cecil D Hahn
- Division of Neurology Department of Paediatrics The Hospital for Sick Children and the University of Toronto Toronto Canada; Program in Neurosciences and Mental Health Sick Kids Research Institute Toronto Canada
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Govindan RB, Kota S, Al-Shargabi T, Massaro AN, Chang T, du Plessis A. Effect of electrocardiogram interference on cortico-cortical connectivity analysis and a possible solution. J Neurosci Methods 2016; 270:76-84. [PMID: 27291356 DOI: 10.1016/j.jneumeth.2016.06.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Revised: 06/07/2016] [Accepted: 06/08/2016] [Indexed: 12/30/2022]
Abstract
BACKGROUND Electroencephalogram (EEG) signals are often contaminated by the electrocardiogram (ECG) interference, which affects quantitative characterization of EEG. NEW METHOD We propose null-coherence, a frequency-based approach, to attenuate the ECG interference in EEG using simultaneously recorded ECG as a reference signal. After validating the proposed approach using numerically simulated data, we apply this approach to EEG recorded from six newborns receiving therapeutic hypothermia for neonatal encephalopathy. We compare our approach with an independent component analysis (ICA), a previously proposed approach to attenuate ECG artifacts in the EEG signal. The power spectrum and the cortico-cortical connectivity of the ECG attenuated EEG was compared against the power spectrum and the cortico-cortical connectivity of the raw EEG. RESULTS The null-coherence approach attenuated the ECG contamination without leaving any residual of the ECG in the EEG. COMPARISON WITH EXISTING METHOD We show that the null-coherence approach performs better than ICA in attenuating the ECG contamination without enhancing cortico-cortical connectivity. CONCLUSION Our analysis suggests that using ICA to remove ECG contamination from the EEG suffers from redistribution problems, whereas the null-coherence approach does not. We show that both the null-coherence and ICA approaches attenuate the ECG contamination. However, the EEG obtained after ICA cleaning displayed higher cortico-cortical connectivity compared with that obtained using the null-coherence approach. This suggests that null-coherence is superior to ICA in attenuating the ECG interference in EEG for cortico-cortical connectivity analysis.
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Affiliation(s)
- R B Govindan
- Division of Fetal and Transitional Medicine, Fetal Medicine Institute, Children's National Health System, 111 Michigan Ave., NW, Washington, DC 20010, USA.
| | - Srinivas Kota
- Division of Fetal and Transitional Medicine, Fetal Medicine Institute, Children's National Health System, 111 Michigan Ave., NW, Washington, DC 20010, USA
| | - Tareq Al-Shargabi
- Division of Fetal and Transitional Medicine, Fetal Medicine Institute, Children's National Health System, 111 Michigan Ave., NW, Washington, DC 20010, USA
| | - An N Massaro
- Division of Neonatology, Children's National - 111 Michigan Ave., NW, Washington, DC 20010, USA
| | - Taeun Chang
- Division of Neurology, Children's National - 111 Michigan Ave., NW, Washington, DC 20010, USA
| | - Adre du Plessis
- Division of Fetal and Transitional Medicine, Fetal Medicine Institute, Children's National Health System, 111 Michigan Ave., NW, Washington, DC 20010, USA
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Tokariev A, Vanhatalo S, Palva JM. Analysis of infant cortical synchrony is constrained by the number of recording electrodes and the recording montage. Clin Neurophysiol 2016; 127:310-323. [DOI: 10.1016/j.clinph.2015.04.291] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Revised: 03/18/2015] [Accepted: 04/24/2015] [Indexed: 12/11/2022]
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Schumacher E, Stiris T, Larsson P. Effective connectivity in long-term EEG monitoring in preterm infants. Clin Neurophysiol 2015; 126:2261-8. [DOI: 10.1016/j.clinph.2015.01.017] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Revised: 12/28/2014] [Accepted: 01/19/2015] [Indexed: 01/07/2023]
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Gargiulo P, Belfiore P, Friðgeirsson E, Vanhatalo S, Ramon C. The effect of fontanel on scalp EEG potentials in the neonate. Clin Neurophysiol 2015; 126:1703-10. [DOI: 10.1016/j.clinph.2014.12.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2014] [Revised: 11/05/2014] [Accepted: 12/04/2014] [Indexed: 10/24/2022]
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Myers MM, Grieve PG, Stark RI, Isler JR, Hofer MA, Yang J, Ludwig RJ, Welch MG. Family Nurture Intervention in preterm infants alters frontal cortical functional connectivity assessed by EEG coherence. Acta Paediatr 2015; 104:670-7. [PMID: 25772627 DOI: 10.1111/apa.13007] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Revised: 03/03/2015] [Accepted: 03/11/2015] [Indexed: 11/30/2022]
Abstract
AIM To assess the impact of Family Nurture Intervention (FNI) on cortical function in preterm infants at term age. METHODS Family Nurture Intervention is a NICU-based intervention designed to establish emotional connection between mothers and preterm infants. Infants born at 26-34 weeks postmenstrual age (PMA) were divided into two groups, standard care (SC, N = 49) and FNI (FNI, N = 56). Infants had EEG recordings of ~one hour duration with 124 lead nets between 37 and 44 weeks PMA. Coherence was measured between all pairs of electrodes in ten frequency bands. Data were summarised both within and between 12 regions during two sleep states (active, quiet). RESULTS Coherence levels were negatively correlated with PMA age in both groups. As compared to SC infants, FNI infants showed significantly lower levels of EEG coherence (1-18 Hz) largely within and between frontal regions. CONCLUSION Coherence in FNI infants was decreased in regions where we previously found robust increases in EEG power. As coherence decreases with age, results suggest that FNI may accelerate brain maturation particularly in frontal brain regions, which have been shown in research by others to be involved in regulation of attention, cognition and emotion regulation; domains deficient in preterm infants.
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Affiliation(s)
- MM Myers
- Department of Pediatrics; Columbia University Medical Center; New York NY USA
- Department of Psychiatry; Columbia University College of Physicians and Surgeons; New York NY USA
- Division of Developmental Neuroscience; New York State Psychiatric Institute; New York NY USA
| | - PG Grieve
- Department of Pediatrics; Columbia University Medical Center; New York NY USA
- Department of Biomedical Engineering; Columbia University; New York NY USA
| | - RI Stark
- Department of Pediatrics; Columbia University Medical Center; New York NY USA
| | - JR Isler
- Department of Pediatrics; Columbia University Medical Center; New York NY USA
| | - MA Hofer
- Department of Psychiatry; Columbia University College of Physicians and Surgeons; New York NY USA
- Division of Developmental Neuroscience; New York State Psychiatric Institute; New York NY USA
| | - J Yang
- Department of Psychiatry; Columbia University College of Physicians and Surgeons; New York NY USA
- Division of Developmental Neuroscience; New York State Psychiatric Institute; New York NY USA
| | - RJ Ludwig
- Department of Pediatrics; Columbia University Medical Center; New York NY USA
| | - MG Welch
- Department of Pediatrics; Columbia University Medical Center; New York NY USA
- Department of Psychiatry; Columbia University College of Physicians and Surgeons; New York NY USA
- Division of Developmental Neuroscience; New York State Psychiatric Institute; New York NY USA
- Department of Pathology and Cell Biology; Columbia University College of Physicians and Surgeons; New York NY USA
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Functional connectivity in preterm infants derived from EEG coherence analysis. Eur J Paediatr Neurol 2014; 18:780-9. [PMID: 25205233 DOI: 10.1016/j.ejpn.2014.08.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2014] [Revised: 08/12/2014] [Accepted: 08/16/2014] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To quantify the neuronal connectivity in preterm infants between homologous channels of both hemispheres. METHODS EEG coherence analysis was performed on serial EEG recordings collected from preterm infants with normal neurological follow-up. The coherence spectrum was divided in frequency bands: δnewborn(0-2 Hz), θnewborn(2-6 Hz), αnewborn(6-13 Hz), βnewborn(13-30 Hz). Coherence values were evaluated as a function of gestational age (GA) and postnatal maturation. RESULTS All spectra show two clear peaks in the δnewborn and θnewborn-band, corresponding to the delta and theta EEG waves observed in preterm infants. In the δnewborn-band the peak magnitude coherence decreases with GA and postnatal maturation for all channels. In the θnewborn-band, the peak magnitude coherence decreases with GA for all channels, but increases with postnatal maturation for the frontal polar channels. In the βnewborn-band a modest magnitude coherence peak was observed in the occipital channels, which decreases with GA. CONCLUSIONS Interhemispherical connectivity develops analogously with electrocortical maturation: signal intensities at low frequencies decrease with GA and postnatal maturation, but increase at high frequencies with postnatal maturation. In addition, peak magnitude coherence is a clear trend indicator for brain maturation. SIGNIFICANCE Coherence analysis can aid in the clinical assessment of the functional connectivity of the infant brain with maturation.
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Odabaee M, Tokariev A, Layeghy S, Mesbah M, Colditz PB, Ramon C, Vanhatalo S. Neonatal EEG at scalp is focal and implies high skull conductivity in realistic neonatal head models. Neuroimage 2014; 96:73-80. [DOI: 10.1016/j.neuroimage.2014.04.007] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Revised: 03/26/2014] [Accepted: 04/04/2014] [Indexed: 11/29/2022] Open
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Welch MG, Myers MM, Grieve PG, Isler JR, Fifer WP, Sahni R, Hofer MA, Austin J, Ludwig RJ, Stark RI. Electroencephalographic activity of preterm infants is increased by Family Nurture Intervention: a randomized controlled trial in the NICU. Clin Neurophysiol 2013; 125:675-684. [PMID: 24140072 DOI: 10.1016/j.clinph.2013.08.021] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Revised: 07/23/2013] [Accepted: 08/17/2013] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To assess the impact of Family Nurture Intervention (FNI) on electroencephalogram (EEG) activity in preterm infants (26-34 weeks gestation). METHODS Two groups were tested in a single, level IV neonatal intensive care unit (NICU; standard care or standard care plus FNI) using a randomized controlled trial design. The intervention consists of sessions designed to achieve mutual calm and promote communication of affect between infants and their mothers throughout the NICU stay. EEG recordings were obtained from 134 infants during sleep at ∼35 and ∼40 weeks postmenstrual age (PMA). Regional brain activity (power) was computed for 10 frequency bands between 1 and 48 Hz in each of 125 electrodes. RESULTS Near to term age, compared to standard care infants, FNI infants showed robust increases in EEG power in the frontal polar region at frequencies 10 to 48 Hz (20% to 36% with p-values <0.0004). Effects were significant in both quiet and active sleep, regardless of gender, singleton-twin status, gestational age (26-30 or 30-35 weeks) or birth weight (<1500 or >1500 g). CONCLUSION FNI leads to increased frontal brain activity during sleep, which other investigators find predictive of better neurobehavioral outcomes. SIGNIFICANCE FNI may be a practicable means of improving outcomes in preterm infants.
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Affiliation(s)
- Martha G Welch
- Department of Psychiatry, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA; Department of Pediatrics, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA; Department of Pathology & Cell Biology, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA; Department of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY 10032, USA.
| | - Michael M Myers
- Department of Psychiatry, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA; Department of Pediatrics, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA; Department of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY 10032, USA
| | - Philip G Grieve
- Department of Pediatrics, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA; Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Joseph R Isler
- Department of Pediatrics, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA
| | - William P Fifer
- Department of Psychiatry, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA; Department of Pediatrics, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA; Department of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY 10032, USA
| | - Rakesh Sahni
- Department of Pediatrics, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA
| | - Myron A Hofer
- Department of Psychiatry, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA; Department of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY 10032, USA
| | - Judy Austin
- Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Robert J Ludwig
- Department of Psychiatry, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA
| | - Raymond I Stark
- Department of Pediatrics, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA
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Boersma M, de Bie HMA, Oostrom KJ, van Dijk BW, Hillebrand A, van Wijk BCM, Delemarre-van de Waal HA, Stam CJ. Resting-State Oscillatory Activity in Children Born Small for Gestational Age: An MEG Study. Front Hum Neurosci 2013; 7:600. [PMID: 24068993 PMCID: PMC3781344 DOI: 10.3389/fnhum.2013.00600] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2013] [Accepted: 09/04/2013] [Indexed: 02/03/2023] Open
Abstract
Growth restriction in utero during a period that is critical for normal growth of the brain, has previously been associated with deviations in cognitive abilities and brain anatomical and functional changes. We measured magnetoencephalography (MEG) in 4- to 7-year-old children to test if children born small for gestational age (SGA) show deviations in resting-state brain oscillatory activity. Children born SGA with postnatally spontaneous catch-up growth [SGA+; six boys, seven girls; mean age 6.3 year (SD = 0.9)] and children born appropriate for gestational age [AGA; seven boys, three girls; mean age 6.0 year (SD = 1.2)] participated in a resting-state MEG study. We calculated absolute and relative power spectra and used non-parametric statistics to test for group differences. SGA+ and AGA born children showed no significant differences in absolute and relative power except for reduced absolute gamma band power in SGA children. At the time of MEG investigation, SGA+ children showed significantly lower head circumference (HC) and a trend toward lower IQ, however there was no association of HC or IQ with absolute or relative power. Except for reduced absolute gamma band power, our findings suggest normal brain activity patterns at school age in a group of children born SGA in which spontaneous catch-up growth of bodily length after birth occurred. Although previous findings suggest that being born SGA alters brain oscillatory activity early in neonatal life, we show that these neonatal alterations do not persist at early school age when spontaneous postnatal catch-up growth occurs after birth.
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Affiliation(s)
- Maria Boersma
- Department of Clinical Neurophysiology, VU University Medical Center , Amsterdam , Netherlands ; Neuroscience Campus Amsterdam , Amsterdam , Netherlands
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Räsänen O, Metsäranta M, Vanhatalo S. Development of a novel robust measure for interhemispheric synchrony in the neonatal EEG: Activation Synchrony Index (ASI). Neuroimage 2013; 69:256-66. [DOI: 10.1016/j.neuroimage.2012.12.017] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2012] [Revised: 12/09/2012] [Accepted: 12/11/2012] [Indexed: 01/19/2023] Open
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Williams IA, Tarullo AR, Grieve PG, Wilpers A, Vignola EF, Myers MM, Fifer WP. Fetal cerebrovascular resistance and neonatal EEG predict 18-month neurodevelopmental outcome in infants with congenital heart disease. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2012; 40:304-9. [PMID: 22351034 PMCID: PMC3612978 DOI: 10.1002/uog.11144] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/08/2012] [Indexed: 05/21/2023]
Abstract
OBJECTIVES The purpose of this study was to investigate early markers of risk for neurobehavioral compromise in survivors with congenital heart disease (CHD). METHODS Pregnant women in whom a fetal CHD had been diagnosed before 24 weeks' gestational age (GA) were enrolled in this prospective pilot study for serial Doppler ultrasound assessment of the fetal middle cerebral artery (MCA) and umbilical arteries. The cerebral-to-placental resistance ratio (CPR) and MCA pulsatility index (PI) Z-scores for GA were calculated. After birth, subjects underwent high-density (128-lead) electroencephalography (EEG), and beta frequency (12-24 Hz) band EEG power, a measure of local neural synchrony, was analyzed. Neurodevelopment was assessed at 18 months with the Bayley Scales of Infant Development (BSID)-III. RESULTS Thirteen subjects were enrolled: four with hypoplastic left heart syndrome (HLHS), four with transposition of the great arteries (TGA) and five with tetralogy of Fallot (TOF). Compared with subjects with normal CPR, those with CPR < 1 (n = 7) had lower mean BSID cognitive scores (91.4 ± 4.8 vs. 99.2 ± 3.8, P = 0.008). Fetal MCA-PI Z-score also correlated with BSID cognitive score (r = 0.589, P = 0.03) as did neonatal EEG left frontal polar (r = 0.58, P = 0.037) and left frontal (r = 0.77, P = 0.002) beta power. Furthermore, fetal Doppler measures were associated with EEG power: fetuses with CPR < 1 had lower left frontal polar (t = 2.36, P = 0.038) and left frontal (t = 2.85, P = 0.016) beta power as newborns than did fetuses with normal CPR, and fetal MCA-PI Z-score correlated with neonatal EEG left frontal polar (r = 0.596, P = 0.04) and left frontal (r = 0.598, P = 0.04) beta power. CONCLUSION In fetuses with HLHS, TGA and TOF, abnormal cerebrovascular resistance predicts decreased neonatal EEG left frontal beta power and lower 18-month cognitive development scores.
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Affiliation(s)
- I A Williams
- Morgan Stanley Children's Hospital of New York-Presbyterian, Columbia University Medical Center, Department of Pediatrics, New York, NY 10032, USA.
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Welch MG, Hofer MA, Brunelli SA, Stark RI, Andrews HF, Austin J, Myers MM. Family nurture intervention (FNI): methods and treatment protocol of a randomized controlled trial in the NICU. BMC Pediatr 2012; 12:14. [PMID: 22314029 PMCID: PMC3394087 DOI: 10.1186/1471-2431-12-14] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2011] [Accepted: 02/07/2012] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The stress that results from preterm birth, requisite acute care and prolonged physical separation in the Neonatal Intensive Care Unit (NICU) can have adverse physiological/psychological effects on both the infant and the mother. In particular, the experience compromises the establishment and maintenance of optimal mother-infant relationship, the subsequent development of the infant, and the mother's emotional well-being. These findings highlight the importance of investigating early interventions that are designed to overcome or reduce the effects of these environmental insults and challenges. METHODS This study is a randomized controlled trial (RCT) with blinded assessment comparing Standard Care (SC) with a novel Family Nurture Intervention (FNI). FNI targets preterm infants born 26-34 weeks postmenstrual age (PMA) and their mothers in the NICU. The intervention incorporates elements of mother-infant interventions with known efficacy and organizes them under a new theoretical context referred to collectively as calming activities. This intervention is facilitated by specially trained Nurture Specialists in three ways: 1) In the isolette through calming interactions between mother and infant via odor exchange, firm sustained touch and vocal soothing, and eye contact; 2) Outside the isolette during holding and feeding via the Calming Cycle; and 3) through family sessions designed to engage help and support the mother. In concert with infant neurobehavioral and physiological assessments from birth through 24 months corrected age (CA), maternal assessments are made using standard tools including anxiety, depression, attachment, support systems, temperament as well as physiological stress parameters. Quality of mother-infant interaction is also assessed. Our projected enrolment is 260 families (130 per group). DISCUSSION The FNI is designed to increase biologically important activities and behaviors that enhance maternally-mediated sensory experiences of preterm infants, as well as infant-mediated sensory experiences of the mother. Consequently, we are enlarging the testing of preterm infant neurodevelopment beyond that of previous research to include outcomes related to mother-infant interactions and mother-infant co-regulation. Our primary objective is to determine whether repeated engagement of the mother and her infant in the intervention's calming activities will improve the infant's developmental trajectory with respect to multiple outcomes. Our secondary objective is to assess the effectiveness of FNI in the physiological and psychological co-regulation of the mother and infant. We include aspects of neurodevelopment that have not been comprehensively measured in previous NICU interventions. TRIAL REGISTRATION ClinicalTrials.gov: NCT01439269.
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Affiliation(s)
- Martha G Welch
- Department of Psychiatry, College of Physicians & Surgeons, 1051 Riverside Drive, Unit 40, New York, NY,10032, USA.
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Tokariev A, Palmu K, Lano A, Metsäranta M, Vanhatalo S. Phase synchrony in the early preterm EEG: development of methods for estimating synchrony in both oscillations and events. Neuroimage 2012; 60:1562-73. [PMID: 22245347 DOI: 10.1016/j.neuroimage.2011.12.080] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2011] [Revised: 11/12/2011] [Accepted: 12/15/2011] [Indexed: 12/31/2022] Open
Abstract
Development of neuronal connections relies on proper neuronal activity, and it starts during the time when early preterm babies are treated in the neonatal intensive care units. While synchrony has been a key element in visual assessment of neonatal EEG signals, there has been no unambiguous definitions for synchrony, and no objective measures available for neonatal signals. Estimation of phase locking value (PLV) has been an established paradigm in adults, but many unique characteristics of the neonatal EEG have precluded its applicability in them. In the present paper, we developed the existing PLV-based methods further to be applicable for neonatal signals at two different temporal scales, oscillations and events, where the latter refers technically to quantitating phase synchrony (PS) between band-specific amplitude envelopes (bafPS). In addition, we present a measure for quantitation based on assessing cumulative proportion of time with statistically significant synchrony between the given signal pair. The paper uses real EEG examples and the prior neurobiological knowledge in the process of defining optimal parameters in each step of the procedure. Finally, we apply the method to a set of dense array EEG recordings from very early preterm babies, recorded at conceptional age of less than 30 weeks. By comparing PS and bafPS from babies without and with major cerebrovascular lesion, we show that the effects of brain lesions may be selective both in space and in frequency. These findings do by nature escape visual detection in the conventional EEG reading, however they have intriguing correlates in the current concept of how somatosensory networks are thought to develop and/or become disorganized in the early preterm babies.
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Affiliation(s)
- Anton Tokariev
- Department of Biosciences, University of Helsinki, Finland
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de Souza TKM, e Silva MB, Gomes AR, de Oliveira HM, Moraes RB, de Freitas Barbosa CT, Guedes RCA. Potentiation of spontaneous and evoked cortical electrical activity after spreading depression: in vivo analysis in well-nourished and malnourished rats. Exp Brain Res 2011; 214:463-9. [PMID: 21863260 DOI: 10.1007/s00221-011-2844-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2011] [Accepted: 08/10/2011] [Indexed: 11/25/2022]
Abstract
Cortical spreading depression (CSD) is influenced by brain excitability and is related to neurological diseases, such as epilepsy. In vitro evidence indicates that neuronal electrical activity is potentiated after CSD. Malnutrition can cause electrophysiological changes in the brain, both in animals and in humans. Here, we investigated in vivo whether CSD potentiates the amplitude of electrocorticogram (ECoG) and of transcallosal evoked responses in adult well-nourished (W), early-malnourished (M), and food-restricted rats. ECoG amplitudes were compared before and after CSD, at two parietal regions (designated the anterior and posterior regions). In the anterior region, post-CSD amplitudes of the ECoG waves were 13-23% higher (P < 0.05) than the pre-CSD values in all groups. In the posterior region, amplitudes increased 22% in the M group only (P < 0.05). In a fourth CSD-free group, ECoG amplitude did not change during the four recording hours. Transcallosal electrically evoked cortical responses also increased 21.5 ± 9.6% and 41.8 ± 28.5%, after CSD, in the W and M conditions, respectively, as compared to pre-CSD values. The data support the hypothesis of an in vivo CSD potentiation on cortical excitability as recorded by spontaneous and evoked electrical activity and modulation by nutritional status.
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Doesburg SM, Ribary U, Herdman AT, Moiseev A, Cheung T, Miller SP, Poskitt KJ, Weinberg H, Whitfield MF, Synnes A, Grunau RE. Magnetoencephalography reveals slowing of resting peak oscillatory frequency in children born very preterm. Pediatr Res 2011; 70:171-5. [PMID: 21544009 PMCID: PMC3150785 DOI: 10.1203/pdr.0b013e3182225a9e] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Resting cortical activity is characterized by a distinct spectral peak in the alpha frequency range. Slowing of this oscillatory peak toward the upper theta-band has been associated with a variety of neurological and neuropsychiatric conditions and has been attributed to altered thalamocortical dynamics. Children born very preterm exhibit altered development of thalamocortical systems. To test the hypothesis that peak oscillatory frequency is slowed in children born very preterm, we recorded resting magnetoencephalography (MEG) from school age children born very preterm (≤ 32 wk gestation) without major intellectual or neurological impairment and age-matched full-term controls. Very preterm children exhibit a slowing of peak frequency toward the theta-band over bilateral frontal cortex, together with reduced alpha-band power over bilateral frontal and temporal cortex, suggesting that mildly dysrhythmic thalamocortical interactions may contribute to altered spontaneous cortical activity in children born very preterm.
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Affiliation(s)
- Sam M Doesburg
- Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto M5G 1X8, Canada.
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González JJ, Mañas S, De Vera L, Méndez LD, López S, Garrido JM, Pereda E. Assessment of electroencephalographic functional connectivity in term and preterm neonates. Clin Neurophysiol 2011; 122:696-702. [DOI: 10.1016/j.clinph.2010.08.025] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2009] [Revised: 07/14/2010] [Accepted: 08/11/2010] [Indexed: 10/18/2022]
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Phase brings a new phase to the exploration of the elusive neonatal EEG. Clin Neurophysiol 2011; 122:645-7. [DOI: 10.1016/j.clinph.2010.10.032] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2010] [Accepted: 10/15/2010] [Indexed: 11/19/2022]
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Doesburg SM, Ribary U, Herdman AT, Miller SP, Poskitt KJ, Moiseev A, Whitfield MF, Synnes A, Grunau RE. Altered long-range alpha-band synchronization during visual short-term memory retention in children born very preterm. Neuroimage 2010; 54:2330-9. [PMID: 20974268 DOI: 10.1016/j.neuroimage.2010.10.044] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2010] [Revised: 09/20/2010] [Accepted: 10/14/2010] [Indexed: 11/28/2022] Open
Abstract
Children born very preterm, even when intelligence is broadly normal, often experience selective difficulties in executive function and visual-spatial processing. Development of structural cortical connectivity is known to be altered in this group, and functional magnetic resonance imaging (fMRI) evidence indicates that very preterm children recruit different patterns of functional connectivity between cortical regions during cognition. Synchronization of neural oscillations across brain areas has been proposed as a mechanism for dynamically assigning functional coupling to support perceptual and cognitive processing, but little is known about what role oscillatory synchronization may play in the altered neurocognitive development of very preterm children. To investigate this, we recorded magnetoencephalographic (MEG) activity while 7-8 year old children born very preterm and age-matched full-term controls performed a visual short-term memory task. Very preterm children exhibited reduced long-range synchronization in the alpha-band during visual short-term memory retention, indicating that cortical alpha rhythms may play a critical role in altered patterns functional connectivity expressed by this population during cognitive and perceptual processing. Long-range alpha-band synchronization was also correlated with task performance and visual-perceptual ability within the very preterm group, indicating that altered alpha oscillatory mechanisms mediating transient functional integration between cortical regions may be relevant to selective problems in neurocognitive development in this vulnerable population at school age.
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Affiliation(s)
- Sam M Doesburg
- Pediatrics, University of British Columbia, Vancouver, Canada.
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Regional electroencephalogram (EEG) spectral power and hemispheric coherence in young adults born at extremely low birth weight. Clin Neurophysiol 2009; 120:231-8. [DOI: 10.1016/j.clinph.2008.11.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2008] [Revised: 10/07/2008] [Accepted: 11/04/2008] [Indexed: 11/20/2022]
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