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Al‐Sa'd M, Vanhatalo S, Tokariev A. Multiplex dynamic networks in the newborn brain disclose latent links with neurobehavioral phenotypes. Hum Brain Mapp 2024; 45:e26610. [PMID: 38339895 PMCID: PMC10839739 DOI: 10.1002/hbm.26610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 01/08/2024] [Accepted: 01/16/2024] [Indexed: 02/12/2024] Open
Abstract
The higher brain functions arise from coordinated neural activity between distinct brain regions, but the spatial, temporal, and spectral complexity of these functional connectivity networks (FCNs) has challenged the identification of correlates with neurobehavioral phenotypes. Characterizing behavioral correlates of early life FCNs is important to understand the activity dependent emergence of neurodevelopmental performance and for improving health outcomes. Here, we develop an analysis pipeline for identifying multiplex dynamic FCNs that combine spectral and spatiotemporal characteristics of the newborn cortical activity. This data-driven approach automatically uncovers latent networks that show robust neurobehavioral correlations and consistent effects by in utero drug exposure. Altogether, the proposed pipeline provides a robust end-to-end solution for an objective assessment and quantitation of neurobehaviorally meaningful network constellations in the highly dynamic cortical functions.
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Affiliation(s)
- Mohammad Al‐Sa'd
- BABA Center, Pediatric Research Center, Department of Clinical Neurophysiology, Children's Hospital, HUS imaging, HUS Diagnostic CenterUniversity of Helsinki and Helsinki University HospitalHelsinkiFinland
- Department of PhysiologyUniversity of HelsinkiHelsinkiFinland
- Faculty of Information Technology and Communication SciencesTampere UniversityTampereFinland
| | - Sampsa Vanhatalo
- BABA Center, Pediatric Research Center, Department of Clinical Neurophysiology, Children's Hospital, HUS imaging, HUS Diagnostic CenterUniversity of Helsinki and Helsinki University HospitalHelsinkiFinland
- Department of PhysiologyUniversity of HelsinkiHelsinkiFinland
| | - Anton Tokariev
- BABA Center, Pediatric Research Center, Department of Clinical Neurophysiology, Children's Hospital, HUS imaging, HUS Diagnostic CenterUniversity of Helsinki and Helsinki University HospitalHelsinkiFinland
- Department of PhysiologyUniversity of HelsinkiHelsinkiFinland
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Skadorwa T, Strzelecka J. QEEG findings in nonsyndromic sagittal craniosynostosis. Sci Rep 2024; 14:1301. [PMID: 38221524 PMCID: PMC10788330 DOI: 10.1038/s41598-024-51858-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 01/10/2024] [Indexed: 01/16/2024] Open
Abstract
Despite the undertaken treatment, children with nonsyndromic sagittal craniosynostosis (NSC) are burdened with problems with speech development, visuospatial and other cognitive deficits. The electroencephalographic assessment has not influenced the diagnostics and treatment strategy of craniosynostosis so far but the introduction of quantitative EEG (QEEG) protocols renewed an interest in the functional aspect of this disease. In this study we retrospectively assessed the QEEG records of 25 children with NSC aged 1-18 months (mean age 9.62 months) before and after surgery. In each case, the amplitude, interhemispheric (ICoh) and intrahemispheric (HCoh) coherence indices were calculated. Obtained data were compared to age-matched control group of 25 normocephalic children. Children with NSC presented significantly lower values of amplitudes and intrahemispheric coherence in occipital, posterior parietal and posterior temporal regions than normocephalic children. The values of amplitudes, ICoh and HCoh in pre- and postoperative QEEG records mostly remained unchanged, with a slight improvement in HCoh in centro-parietal area. These findings suggest that NSC children present their own QEEG profile. The operative treatment improves an intrahemispheric connectivity, but there still exists a significant difference in the occipitotemporal, frontotemporal and centro-frontal areas, which may be considered as a functional substrate of reported speech and neurocognitive problems. QEEG findings in nonsyndromic sagittal craniosynostosis.
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Affiliation(s)
- Tymon Skadorwa
- Department of Pediatric Neurosurgery, Bogdanowicz Memorial Hospital for Children, 4/24 Nieklanska St., 03924, Warsaw, Poland.
- Department of Descriptive and Clinical Anatomy, Medical University of Warsaw, 5 Chalubinskiego St., 02004, Warsaw, Poland.
| | - Jolanta Strzelecka
- Department of Pediatric Neurology, Medical University of Warsaw, 63A Żwirki i Wigury St., 02091, Warsaw, Poland
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Milman NE, Tinsley CE, Raju RM, Lim MM. Loss of sleep when it is needed most - Consequences of persistent developmental sleep disruption: A scoping review of rodent models. Neurobiol Sleep Circadian Rhythms 2023; 14:100085. [PMID: 36567958 PMCID: PMC9768382 DOI: 10.1016/j.nbscr.2022.100085] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 12/12/2022] Open
Abstract
Sleep is an essential component of development. Developmental sleep disruption (DSD) impacts brain maturation and has been associated with significant consequences on socio-emotional development. In humans, poor sleep during infancy and adolescence affects neurodevelopmental outcomes and may be a risk factor for the development of autism spectrum disorder (ASD) or other neuropsychiatric illness. Given the wide-reaching and enduring consequences of DSD, identifying underlying mechanisms is critical to best inform interventions with translational capacity. In rodents, studies have identified some mechanisms and neural circuits by which DSD causes later social, emotional, sensorimotor, and cognitive changes. However, these studies spanned methodological differences, including different developmental timepoints for both sleep disruption and testing, different DSD paradigms, and even different rodent species. In this scoping review on DSD in rodents, we synthesize these various studies into a cohesive framework to identify common neural mechanisms underlying DSD-induced dysfunction in brain and behavior. Ultimately, this review serves the goal to inform the generation of novel translational interventions for human developmental disorders featuring sleep disruption.
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Affiliation(s)
- Noah E.P. Milman
- Oregon Health and Science University, Dept. of Behavioral and Systems Neuroscience, Portland, OR, 97214, USA
- Veterans Affairs Portland Health Care System, Portland, OR, 97214, USA
| | - Carolyn E. Tinsley
- Oregon Health and Science University, Dept. of Behavioral and Systems Neuroscience, Portland, OR, 97214, USA
- Veterans Affairs Portland Health Care System, Portland, OR, 97214, USA
| | - Ravikiran M. Raju
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Miranda M. Lim
- Oregon Health and Science University, Dept. of Behavioral and Systems Neuroscience, Portland, OR, 97214, USA
- Veterans Affairs Portland Health Care System, Portland, OR, 97214, USA
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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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Koskela T, Kendall GS, Memon S, Sokolska M, Mabuza T, Huertas-Ceballos A, Mitra S, Robertson NJ, Meek J, Whitehead K. Prognostic value of neonatal EEG following therapeutic hypothermia in survivors of hypoxic-ischemic encephalopathy. Clin Neurophysiol 2021; 132:2091-2100. [PMID: 34284244 PMCID: PMC8407358 DOI: 10.1016/j.clinph.2021.05.031] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 05/10/2021] [Accepted: 05/25/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Early prediction of neurological deficits following neonatal hypoxic-ischemic encephalopathy (HIE) may help to target support. Neonatal animal models suggest that recovery following hypoxia-ischemia depends upon cortical bursting. To test whether this holds in human neonates, we correlated the magnitude of cortical bursting during recovery (≥postnatal day 3) with neurodevelopmental outcomes. METHODS We identified 41 surviving infants who received therapeutic hypothermia for HIE (classification at hospital discharge: 19 mild, 18 moderate, 4 severe) and had 9-channel electroencephalography (EEG) recordings as part of their routine care. We correlated burst power with Bayley-III cognitive, motor and language scores at median 24 months. To examine whether EEG offered additional prognostic information, we controlled for structural MRI findings. RESULTS Higher power of central and occipital cortical bursts predicted worse cognitive and language outcomes, and higher power of central cortical bursts predicted worse motor outcome, all independently of structural MRI findings. CONCLUSIONS Clinical EEG after postnatal day 3 may provide additional prognostic information by indexing persistent active mechanisms that either support recovery or exacerbate brain damage, especially in infants with less severe encephalopathy. SIGNIFICANCE These findings could allow for the effect of clinical interventions in the neonatal period to be studied instantaneously in the future.
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Affiliation(s)
- Tuomas Koskela
- Research IT Services, University College London, London WC1E 7HB, UK.
| | - Giles S Kendall
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK; Academic Neonatology, Institute for Women's Health, University College London, London WC1E 6HU, UK.
| | - Sara Memon
- Department of Neuroscience, Physiology & Pharmacology, University College London, London WC1E 6BT, UK.
| | - Magdalena Sokolska
- Department of Medical Physics and Biomedical Engineering, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK.
| | - Thalitha Mabuza
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK.
| | - Angela Huertas-Ceballos
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK.
| | - Subhabrata Mitra
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK; Academic Neonatology, Institute for Women's Health, University College London, London WC1E 6HU, UK.
| | - Nicola J Robertson
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK; Academic Neonatology, Institute for Women's Health, University College London, London WC1E 6HU, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Chancellors Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK.
| | - Judith Meek
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK.
| | - Kimberley Whitehead
- Neonatal Intensive Care Unit, Elizabeth Garrett Anderson Wing, University College London Hospitals, London WC1E 6DB, UK; Department of Neuroscience, Physiology & Pharmacology, University College London, London WC1E 6BT, UK.
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