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Spencer APC, Goodfellow M, Chakkarapani E, Brooks JCW. Resting-state functional connectivity in children cooled for neonatal encephalopathy. Brain Commun 2024; 6:fcae154. [PMID: 38741661 PMCID: PMC11089421 DOI: 10.1093/braincomms/fcae154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 03/21/2024] [Accepted: 04/28/2024] [Indexed: 05/16/2024] Open
Abstract
Therapeutic hypothermia improves outcomes following neonatal hypoxic-ischaemic encephalopathy, reducing cases of death and severe disability such as cerebral palsy compared with normothermia management. However, when cooled children reach early school-age, they have cognitive and motor impairments which are associated with underlying alterations to brain structure and white matter connectivity. It is unknown whether these differences in structural connectivity are associated with differences in functional connectivity between cooled children and healthy controls. Resting-state functional MRI has been used to characterize static and dynamic functional connectivity in children, both with typical development and those with neurodevelopmental disorders. Previous studies of resting-state brain networks in children with hypoxic-ischaemic encephalopathy have focussed on the neonatal period. In this study, we used resting-state fMRI to investigate static and dynamic functional connectivity in children aged 6-8 years who were cooled for neonatal hypoxic-ischaemic without cerebral palsy [n = 22, median age (interquartile range) 7.08 (6.85-7.52) years] and healthy controls matched for age, sex and socioeconomic status [n = 20, median age (interquartile range) 6.75 (6.48-7.25) years]. Using group independent component analysis, we identified 31 intrinsic functional connectivity networks consistent with those previously reported in children and adults. We found no case-control differences in the spatial maps of these intrinsic connectivity networks. We constructed subject-specific static functional connectivity networks by measuring pairwise Pearson correlations between component time courses and found no case-control differences in functional connectivity after false discovery rate correction. To study the time-varying organization of resting-state networks, we used sliding window correlations and deep clustering to investigate dynamic functional connectivity characteristics. We found k = 4 repetitively occurring functional connectivity states, which exhibited no case-control differences in dwell time, fractional occupancy or state functional connectivity matrices. In this small cohort, the spatiotemporal characteristics of resting-state brain networks in cooled children without severe disability were too subtle to be differentiated from healthy controls at early school-age, despite underlying differences in brain structure and white matter connectivity, possibly reflecting a level of recovery of healthy resting-state brain function. To our knowledge, this is the first study to investigate resting-state functional connectivity in children with hypoxic-ischaemic encephalopathy beyond the neonatal period and the first to investigate dynamic functional connectivity in any children with hypoxic-ischaemic encephalopathy.
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Affiliation(s)
- Arthur P C Spencer
- Clinical Research and Imaging Centre, University of Bristol, Bristol BS2 8DX, UK
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1TH, UK
- Department of Radiology, Lausanne University Hospital, 1011 Lausanne, Switzerland
| | - Marc Goodfellow
- Living Systems Institute, University of Exeter, Exeter EX4 4QD, UK
- Department of Mathematics and Statistics, University of Exeter, Exeter EX4 4QF, UK
| | - Ela Chakkarapani
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1TH, UK
- Neonatal Intensive Care Unit, St Michaels Hospital, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol BS2 8EG, UK
| | - Jonathan C W Brooks
- Clinical Research and Imaging Centre, University of Bristol, Bristol BS2 8DX, UK
- University of East Anglia Wellcome Wolfson Brain Imaging Centre (UWWBIC), University of East Anglia, Norwich NR4 7TJ, UK
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Boerwinkle VL, Manjón I, Sussman BL, McGary A, Mirea L, Gillette K, Broman-Fulks J, Cediel EG, Arhin M, Hunter SE, Wyckoff SN, Allred K, Tom D. Resting-State Functional Magnetic Resonance Imaging Network Association With Mortality, Epilepsy, Cognition, and Motor Two-Year Outcomes in Suspected Severe Neonatal Acute Brain Injury. Pediatr Neurol 2024; 152:41-55. [PMID: 38198979 DOI: 10.1016/j.pediatrneurol.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 11/14/2023] [Accepted: 12/06/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND AND OBJECTIVES In acute brain injury of neonates, resting-state functional magnetic resonance imaging (MRI) (RS) showed incremental association with consciousness, mortality, cognitive and motor development, and epilepsy, with correction for multiple comparisons, at six months postgestation in neonates with suspected acute brain injury (ABI). However, there are relatively few developmental milestones at six months to benchmark against, thus, we extended this cohort study to evaluate two-year outcomes. METHODS In 40 consecutive neonates with ABI and RS, ordinal scores of resting-state networks; MRI, magnetic resonance spectroscopy, and electroencephalography; and up to 42-month outcomes of mortality, general and motor development, Pediatric Cerebral Performance Category Scale (PCPC), and epilepsy informed associations between tests and outcomes. RESULTS Mean gestational age was 37.8 weeks, 68% were male, and 60% had hypoxic-ischemic encephalopathy. Three died in-hospital, four at six to 42 months, and five were lost to follow-up. Associations included basal ganglia network with PCPC (P = 0.0003), all-mortality (P = 0.005), and motor (P = 0.0004); language/frontoparietal network with developmental delay (P = 0.009), PCPC (P = 0.006), and all-mortality (P = 0.01); default mode network with developmental delay (P = 0.003), PCPC (P = 0.004), neonatal intensive care unit mortality (P = 0.01), and motor (P = 0.009); RS seizure onset zone with epilepsy (P = 0.01); and anatomic MRI with epilepsy (P = 0.01). CONCLUSION For the first time, at any age, resting state functional MRI in ABI is associated with long-term epilepsy and RSNs predicted mortality in neonates. Severity of RSN abnormality was associated with incrementally worsened neurodevelopment including cognition, language, and motor function over two years.
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Affiliation(s)
- Varina L Boerwinkle
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina.
| | - Iliana Manjón
- University of Arizona College of Medicine - Tucson, Tucson, Arizona
| | - Bethany L Sussman
- Division of Neuroscience Research, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona
| | - Alyssa McGary
- Department of Clinical Research, Phoenix Children's Hospital, Phoenix, Arizona
| | - Lucia Mirea
- Department of Clinical Research, Phoenix Children's Hospital, Phoenix, Arizona
| | - Kirsten Gillette
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina
| | - Jordan Broman-Fulks
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina
| | - Emilio G Cediel
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina
| | - Martin Arhin
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina
| | - Senyene E Hunter
- Division of Child Neurology, University of North Carolina Medical School, Chapel Hill, North Carolina
| | - Sarah N Wyckoff
- Division of Neuroscience Research, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona
| | - Kimberlee Allred
- Division of Neonatology, Phoenix Children's Hospital, Phoenix, Arizona
| | - Deborah Tom
- Division of Neonatology, Phoenix Children's Hospital, Phoenix, Arizona
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Association of network connectivity via resting state functional MRI with consciousness, mortality, and outcomes in neonatal acute brain injury. Neuroimage Clin 2022; 34:102962. [PMID: 35152054 PMCID: PMC8851268 DOI: 10.1016/j.nicl.2022.102962] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 02/05/2022] [Accepted: 02/07/2022] [Indexed: 01/07/2023]
Abstract
Basal ganglia and seizure onset zone networks were associated with motor outcomes. Broad language/cognitive region networks were associated with developmental delay. Discharge with mortality was linked to default mode and language/cognitive networks. Exams were not linked to networks after multiple testing corrections. Lack of detection of all studied networks only occurred in those who did not survive.
Background An accurate and comprehensive test of integrated brain network function is needed for neonates during the acute brain injury period to inform on morbidity. This retrospective cohort study assessed whether integrated brain network function acquired by resting state functional MRI during the acute period in neonates with brain injury, is associated with acute exam, neonatal mortality, and 6-month outcomes. Methods Study subjects included 40 consecutive neonates with resting state functional MRI acquired within 31 days after suspected brain insult from March 2018 to July 2019 at Phoenix Children’s Hospital. Acute-period exam and test results were assigned ordinal scores based on severity as documented by respective treating specialists. Analyses (Fisher exact, Wilcoxon-rank sum test, ordinal/multinomial logistic regression) examined association of resting state networks with demographics, presentation, neurological exam, electroencephalogram, anatomical MRI, magnetic resonance spectroscopy, passive task functional MRI, and outcomes of discharge condition, outpatient development, motor tone, seizure, and mortality. Results Subjects had a mean (standard deviation) gestational age of 37.8 (2.6) weeks, a majority were male (63%), with a diagnosis of hypoxic ischemic encephalopathy (68%). Findings at birth included mild distress (48%), moderately abnormal neurological exam (33%), and consciousness characterized as awake but irritable (40%). Significant associations after multiple testing corrections were detected for resting state networks: basal ganglia with outpatient developmental delay (odds ratio [OR], 14.5; 99.4% confidence interval [CI], 2.00–105; P < .001) and motor tone/weakness (OR, 9.98; 99.4% CI, 1.72–57.9; P < .001); language/frontoparietal network with discharge condition (OR, 5.13; 99.4% CI, 1.22–21.5; P = .002) and outpatient developmental delay (OR, 4.77; 99.4% CI, 1.21–18.7; P=.002); default mode network with discharge condition (OR, 3.72; 99.4% CI, 1.01–13.78; P=.006) and neurological exam (P = .002 (FE); OR, 11.8; 99.4% CI, 0.73–191; P = .01 (OLR)); and seizure onset zone with motor tone/weakness (OR, 3.31; 99.4% CI, 1.08–10.1; P=.003). Resting state networks were not detected in three neonates, who died prior to discharge. Conclusions This study provides level 3 evidence (OCEBM Levels of Evidence Working Group) demonstrating that in neonatal acute brain injury, the degree of abnormality of resting state networks is associated with acute exam and outcomes. Total lack of brain network detection was only found in patients who did not survive.
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Jiang L, El-Metwally D, Sours Rhodes C, Zhuo J, Almardawi R, Medina AE, Wang L, Gullapalli RP, Raghavan P. Alterations in motor functional connectivity in Neonatal Hypoxic Ischemic Encephalopathy. Brain Inj 2022; 36:287-294. [PMID: 35113755 DOI: 10.1080/02699052.2022.2034041] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
BACKGROUND Neonatal hypoxic-ischemic encephalopathy (HIE) is the result of global hypoxic-ischemic brain injury in neonates due to asphyxia during birth and is one of the most common causes of severe, long-term neurologic deficits in children. Methods: Resting state fMRI (rs-fMRI) was used to assess potential functional disruptions in the primary and association motor areas in HIE neonates (n = 16) compared to healthy controls (n = 11). RESULTS Results demonstrate reduced intra-hemispheric resting state functional connectivity (rs-FC) between primary motor regions (upper extremity and facial motor regions) as well as reduced inter-hemispheric rs-FC in the HIE group. In addition, HIE neonates demonstrated increased rs-FC between motor regions and frontal, temporal and parietal cortices but decreased rs-FC with the cerebellum. DISCUSSION These preliminary results provide initial evidence for the disruption of functional communication with the motor network in neonates with HIE. Further studies are necessary to both validate these findings in a larger dataset as well as to determine if rs-fMRI measurements collected at birth may have the potential to serve as a prognostic marker in addition to the traditional combination of clinical measurements and conventional MRI.
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Affiliation(s)
- Li Jiang
- Center for Advanced Imaging Research (Cair), 670 W Baltimore St, University of Maryland School of Medicine, Baltimore, USA.,Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA
| | - Dina El-Metwally
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, USA
| | - Chandler Sours Rhodes
- Center for Advanced Imaging Research (Cair), 670 W Baltimore St, University of Maryland School of Medicine, Baltimore, USA.,Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA.,National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, USA
| | - Jiachen Zhuo
- Center for Advanced Imaging Research (Cair), 670 W Baltimore St, University of Maryland School of Medicine, Baltimore, USA.,Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA
| | - Ranyah Almardawi
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA
| | - Alexandre E Medina
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, USA
| | - Li Wang
- Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Rao P Gullapalli
- Center for Advanced Imaging Research (Cair), 670 W Baltimore St, University of Maryland School of Medicine, Baltimore, USA.,Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA
| | - Prashant Raghavan
- Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA
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Wisnowski JL, Wintermark P, Bonifacio SL, Smyser CD, Barkovich AJ, Edwards AD, de Vries LS, Inder TE, Chau V. Neuroimaging in the term newborn with neonatal encephalopathy. Semin Fetal Neonatal Med 2021; 26:101304. [PMID: 34736808 PMCID: PMC9135955 DOI: 10.1016/j.siny.2021.101304] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Neuroimaging is widely used to aid in the diagnosis and clinical management of neonates with neonatal encephalopathy (NE). Yet, despite widespread use clinically, there are few published guidelines on neuroimaging for neonates with NE. This review outlines the primary patterns of brain injury associated with hypoxic-ischemic injury in neonates with NE and their frequency, associated neuropathological features, and risk factors. In addition, it provides an overview of neuroimaging methods, including the most widely used scoring systems used to characterize brain injury in these neonates and their utility as predictive biomarkers. Last, recommendations for neuroimaging in neonates with NE are presented.
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Affiliation(s)
- Jessica L. Wisnowski
- Departments of Radiology and Pediatrics (Neonatology), Children’s Hospital Los Angeles, 4650 Sunset Blvd. MS #81, Los Angeles CA 90027, USA
| | - Pia Wintermark
- Department of Pediatrics (Neonatology), McGill University/Montreal Children's Hospital, Division of Newborn Medicine, Research Institute of the McGill University Health Centre, 1001 boul. Décarie, Site Glen Block E, EM0.3244, Montréal, QC H4A 3J1, Canada.
| | - Sonia L. Bonifacio
- Division of Neonatal and Developmental Medicine, Department of Pediatrics (Neonatology), Lucile Packard Children’s Hospital, Stanford University School of Medicine, 750 Welch Road, Suite 315, Palo Alto, CA 94304, USA
| | - Christopher D. Smyser
- Departments of Neurology, Radiology, and Pediatrics, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8111, St Louis, MO 63110-1093, USA
| | - A. James Barkovich
- Department of Radiology, UCSF Benioff Children’s Hospital, University of California San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA 94143-0628, USA
| | - A. David Edwards
- Evelina London Children’s Hospital, Centre for Developing Brain, King’s College London, Westminster Bridge Road, London, SE1 7EH, United Kingdom
| | - Linda S. de Vries
- Department of Neonatology, University Medical Center Utrecht, Utrecht University, Lundlaan 6, 3584 EA, Utrecht, the Netherlands
| | - Terrie E. Inder
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Vann Chau
- Department of Pediatrics (Neurology), The Hospital for Sick Children, University of Toronto, 555 University Avenue, Room 6513, Toronto, ON M5G 1X8, Canada.
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Poor speech recognition, sound localization and reorganization of brain activity in children with unilateral microtia-atresia. Brain Imaging Behav 2021; 16:78-90. [PMID: 34245431 PMCID: PMC8825362 DOI: 10.1007/s11682-021-00478-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2021] [Indexed: 10/31/2022]
Abstract
Microtia-atresia is a congenital malformation of the external ear, often affecting one side and being associated with severe-to-profound unilateral conductive hearing loss (UCHL). Although the impact of unilateral hearing loss (UHL) on speech recognition, sound localization and brain plasticity has been intensively investigated, less is known about the subjects with unilateral microtia-atresia (UMA). Considering these UMA subjects have hearing loss from birth, we hypothesize it has a great effect on brain organization. A questionnaire on speech recognition and spatial listening ability was administered to 40 subjects with UMA and 40 age- and sex-matched controls. UMA subjects showed poorer speech recognition in laboratory and poorer spatial listening ability. However, cognitive scores determined by the Montreal Cognitive Assessment (MoCA) and Wechsler Intelligence Scale for Children (WISC-IV) did not differ significantly in these two groups. The impact of hearing loss in UMA on brain functional organization was examined by comparing resting-state fMRIs (rs-fMRI) in 27 subjects with right-sided UMA and 27 matched controls. UMA subjects had increased nodal betweenness in visual networks and DMN but decreases in auditory and attention networks. These results indicate that UCHL in UMA causes significant abnormalities in brain organization. The impact of UCHL on cognition should be further examined with a battery of tests that are more challenging and better focused on the cognitive networks identified.
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Ní Bhroin M, Molloy EJ, Bokde ALW. Relationship between resting-state fMRI functional connectivity with motor and language outcome after perinatal brain injury - A systematic review. Eur J Paediatr Neurol 2021; 33:36-49. [PMID: 34058624 DOI: 10.1016/j.ejpn.2021.05.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 03/29/2021] [Accepted: 05/06/2021] [Indexed: 12/11/2022]
Abstract
Perinatal brain injury is a significant cause of adverse neurodevelopmental outcomes. The objective of this systematic review was to identify patterns of altered brain function, quantified using functional connectivity (FC) changes in resting-state fMRI (rs-fMRI) data, that were associated with motor and language outcomes in individuals with a history of perinatal brain injury. A systematic search using electronic databases was conducted to identify relevant studies. A total of 10 studies were included in the systematic review, representing 260 individuals with a history of perinatal brain injury. Motor and language outcomes were measured at time points ranging from 4 months to 29 years 1 month. Relations between FC and motor measures revealed increased intra-hemispheric FC, reduced inter-hemispheric FC and impaired lateralization of motor-related brain regions associated with motor outcomes. Altered FC within sensorimotor, visual, cerebellum and frontoparietal networks, and between sensorimotor, visual, auditory and higher-order networks, including cerebellum, frontoparietal, default-mode, salience, self-referential and attentional networks were also associated with motor outcomes. In studies assessing the relationship between rs-fMRI and language outcome, reduced intra-hemispheric FC, increased inter-hemispheric FC and right-hemisphere lateralization of language-related brain regions correlated with language outcomes. Evidence from this systematic review suggests a possible association between diaschisis and motor and language impairments in individuals after perinatal brain lesions. These findings support the need to explore the contributions of additional brain regions functionally connected but remote from the primary lesioned brain area for targeted treatments and appropriate intervention, though more studies with increased standardization across neuroimaging and neurodevelopmental assessments are needed.
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Affiliation(s)
- Megan Ní Bhroin
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland; Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Dublin, Ireland.
| | - Eleanor J Molloy
- Paediatrics and Child Health, Trinity College Dublin, Dublin, Ireland; Department of Neonatology, Children's Hospital Ireland at Crumlin and Tallaght, Coombe Women and Infants University Hospital, Dublin, Ireland
| | - Arun L W Bokde
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland; Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Dublin, Ireland
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Benninger KL, Inder TE, Goodman AM, Cotten CM, Nordli DR, Shah TA, Slaughter JC, Maitre NL. Perspectives from the Society for Pediatric Research. Neonatal encephalopathy clinical trials: developing the future. Pediatr Res 2021; 89:74-84. [PMID: 32221474 PMCID: PMC7529683 DOI: 10.1038/s41390-020-0859-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/27/2020] [Accepted: 02/20/2020] [Indexed: 12/18/2022]
Abstract
The next phase of clinical trials in neonatal encephalopathy (NE) focuses on hypothermia adjuvant therapies targeting alternative recovery mechanisms during the process of hypoxic brain injury. Identifying infants eligible for neuroprotective therapies begins with the clinical detection of brain injury and classification of severity. Combining a variety of biomarkers (serum, clinical exam, EEG, movement patterns) with innovative clinical trial design and analyses will help target infants with the most appropriate and timely treatments. The timing of magnetic resonance imaging (MRI) and MR spectroscopy after NE both assists in identifying the acute perinatal nature of the injury (days 3-7) and evaluates the full extent and evolution of the injury (days 10-21). Early, intermediate outcome of neuroprotective interventions may be best defined by the 21-day neuroimaging, with recognition that the full neurodevelopmental trajectory is not yet defined. An initial evaluation of each new therapy at this time point may allow higher-throughput selection of promising therapies for more extensive investigation. Functional recovery can be assessed using a trajectory of neurodevelopmental evaluations targeted to a prespecified and mechanistically derived hypothesis of drug action. As precision medicine revolutionizes healthcare, it should also include the redesign of NE clinical trials to allow safe, efficient, and targeted therapeutics. IMPACT: As precision medicine revolutionizes healthcare, it should also include the redesign of NE clinical trials to allow faster development of safe, effective, and targeted therapeutics. This article provides a multidisciplinary perspective on the future of clinical trials in NE; novel trial design; study management and oversight; biostatistical methods; and a combination of serum, imaging, and neurodevelopmental biomarkers can advance the field and improve outcomes for infants affected by NE. Innovative clinical trial designs, new intermediate trial end points, and a trajectory of neurodevelopmental evaluations targeted to a prespecified and mechanistically derived hypothesis of drug action can help address common challenges in NE clinical trials and allow for faster selection and validation of promising therapies for more extensive investigation.
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MESH Headings
- Biomarkers/blood
- Biomedical Research/trends
- Brain Diseases/diagnostic imaging
- Brain Diseases/etiology
- Brain Diseases/physiopathology
- Brain Diseases/therapy
- Clinical Trials as Topic
- Consensus
- Delphi Technique
- Diffusion of Innovation
- Forecasting
- Humans
- Infant, Newborn
- Infant, Newborn, Diseases/diagnostic imaging
- Infant, Newborn, Diseases/etiology
- Infant, Newborn, Diseases/physiopathology
- Infant, Newborn, Diseases/therapy
- Neonatology/trends
- Neuroimaging
- Research Design/trends
- Societies, Medical
- Societies, Scientific
- Time Factors
- Treatment Outcome
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Affiliation(s)
- Kristen L Benninger
- Division of Neonatology and Center for Perinatal Research, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA.
| | - Terrie E Inder
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Amy M Goodman
- Division of Child Neurology, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | | | - Douglas R Nordli
- Section of Child Neurology, Department of Pediatrics, University of Chicago Pritzker School of Medicine, Chicago, IL, USA
| | - Tushar A Shah
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Children's Hospital of The King's Daughters, Eastern Virginia Medical School, Norfolk, VA, USA
| | - James C Slaughter
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nathalie L Maitre
- Division of Neonatology and Center for Perinatal Research, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA
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Wang J, Huo J, Zhang L. Thermodynamic edge entropy in Alzheimer’s disease. Pattern Recognit Lett 2019. [DOI: 10.1016/j.patrec.2019.06.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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