Study Results
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View full resultsBasic Information
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COMPLETED
21 participants
OBSERVATIONAL
2018-06-08
2020-02-17
Brief Summary
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Detailed Description
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Using magnetic resonance diffusion tensor imaging, structural integrity of dopaminergic circuits will be quantified and compared in post-hypoxic former preterm children versus healthy control children born at term closely matched by age/sex/race.
Functional activity during executive function tasks will be quantified and compared in post-hypoxic former preterm children versus healthy control children born at term using functional magnetic resonance imaging-blood oxygen level dependent (fMRI-BOLD). Assessment of motor function (grooved pegboard task) will also be performed.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Post-hypoxic former preterm
Born in the years 2005-2009 with birth gestational age between 23-28 weeks and birth weight appropriate for gestational age (AGA). Part of a research cohort with available oxygen saturation level data recorded continuously from the first day of life to 8 weeks postnatal age (n=11).Children will undergo Magnetic Resonance Imaging and Cognitive Performance Testing.
Magnetic Resonance Imaging
MRI uses a strong magnetic field and radio waves to create detailed images of the brain while the person's head is positioned inside a round tunnel.
Cognitive Performance Testing
For the Grooved Pegboard task: After the MRI scan, children will be timed as they place pegs into holes with randomly positioned slots.
Healthy term-born children
Born in the years 2005-2009 with birth gestational age ≥ 38 weeks gestation and birth weight appropriate for term gestation (n=10) matched by age/sex/race to participating cohort children with no history of respiratory difficulty suggesting hypoxic exposure. Children will undergo Magnetic Resonance Imaging and Cognitive Performance Testing.
Magnetic Resonance Imaging
MRI uses a strong magnetic field and radio waves to create detailed images of the brain while the person's head is positioned inside a round tunnel.
Cognitive Performance Testing
For the Grooved Pegboard task: After the MRI scan, children will be timed as they place pegs into holes with randomly positioned slots.
Interventions
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Magnetic Resonance Imaging
MRI uses a strong magnetic field and radio waves to create detailed images of the brain while the person's head is positioned inside a round tunnel.
Cognitive Performance Testing
For the Grooved Pegboard task: After the MRI scan, children will be timed as they place pegs into holes with randomly positioned slots.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. For Healthy Control Children: Birth gestational age ≥ 38 weeks gestation and birth weight appropriate for term gestation (n=10) matched by age/sex/race to participating cohort children.
3. Born in years 2005-2009 (age range will be 8-15 years during the funding period)
4. Ability of the child to provide assent, with the parent/legal guardian able to provide written informed consent for study procedures.
5. Sensory and motor capability to complete study tasks (i.e. Grooved Pegboard test). Mental Development index must be \> 80 at 2-year-old follow-up for preterm cohort.
Exclusion Criteria
2. Current diagnosis of autism.
3. Child who suffers from claustrophobia (per parent report).
4. Unable to participate in neuroimaging due to claustrophobia, or medical contraindication to MRI including any implanted medical device, dental braces, surgical clips for aneurysms in the head, heart valve prostheses, electrodes or other metallic objects, pregnancy.
5. Healthy control children who were treated in the Neonatal ICU in the newborn period for breathing difficulties.
6. Healthy control children who were hospitalized for breathing problems in the first 3 months of infancy.
8 Years
15 Years
ALL
Yes
Sponsors
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Case Western Reserve University
OTHER
Responsible Party
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Michael J. Decker
Associate Professor
Principal Investigators
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Michael J Decker, PhD
Role: PRINCIPAL_INVESTIGATOR
Case Western Reserve University
Locations
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Case Western Reserve University
Cleveland, Ohio, United States
Countries
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References
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Huppi PS, Murphy B, Maier SE, Zientara GP, Inder TE, Barnes PD, Kikinis R, Jolesz FA, Volpe JJ. Microstructural brain development after perinatal cerebral white matter injury assessed by diffusion tensor magnetic resonance imaging. Pediatrics. 2001 Mar;107(3):455-60. doi: 10.1542/peds.107.3.455.
Inder TE, Volpe JJ. Mechanisms of perinatal brain injury. Semin Neonatol. 2000 Feb;5(1):3-16. doi: 10.1053/siny.1999.0112.
Poets CF, Roberts RS, Schmidt B, Whyte RK, Asztalos EV, Bader D, Bairam A, Moddemann D, Peliowski A, Rabi Y, Solimano A, Nelson H; Canadian Oxygen Trial Investigators. Association Between Intermittent Hypoxemia or Bradycardia and Late Death or Disability in Extremely Preterm Infants. JAMA. 2015 Aug 11;314(6):595-603. doi: 10.1001/jama.2015.8841.
Janvier A, Khairy M, Kokkotis A, Cormier C, Messmer D, Barrington KJ. Apnea is associated with neurodevelopmental impairment in very low birth weight infants. J Perinatol. 2004 Dec;24(12):763-8. doi: 10.1038/sj.jp.7211182.
Perna R, Cooper D. Perinatal cyanosis: long-term cognitive sequelae and behavioral consequences. Appl Neuropsychol Child. 2012;1(1):48-52. doi: 10.1080/09084282.2011.643946.
Smith TF, Schmidt-Kastner R, McGeary JE, Kaczorowski JA, Knopik VS. Pre- and Perinatal Ischemia-Hypoxia, the Ischemia-Hypoxia Response Pathway, and ADHD Risk. Behav Genet. 2016 May;46(3):467-77. doi: 10.1007/s10519-016-9784-4. Epub 2016 Feb 26.
Decker MJ, Hue GE, Caudle WM, Miller GW, Keating GL, Rye DB. Episodic neonatal hypoxia evokes executive dysfunction and regionally specific alterations in markers of dopamine signaling. Neuroscience. 2003;117(2):417-25. doi: 10.1016/s0306-4522(02)00805-9.
Decker MJ, Jones KA, Solomon IG, Keating GL, Rye DB. Reduced extracellular dopamine and increased responsiveness to novelty: neurochemical and behavioral sequelae of intermittent hypoxia. Sleep. 2005 Feb;28(2):169-76. doi: 10.1093/sleep/28.2.169.
Decker MJ, Jones KA, Keating GL, Rye DB. Postnatal hypoxia evokes persistent changes within the male rat's dopaminergic system. Sleep Breath. 2018 May;22(2):547-554. doi: 10.1007/s11325-017-1558-6. Epub 2017 Aug 22.
Rocha-Ferreira E, Hristova M. Plasticity in the Neonatal Brain following Hypoxic-Ischaemic Injury. Neural Plast. 2016;2016:4901014. doi: 10.1155/2016/4901014. Epub 2016 Mar 7.
Nyakas C, Buwalda B, Luiten PG. Hypoxia and brain development. Prog Neurobiol. 1996 May;49(1):1-51. doi: 10.1016/0301-0082(96)00007-x.
Stollstorff M, Foss-Feig J, Cook EH Jr, Stein MA, Gaillard WD, Vaidya CJ. Neural response to working memory load varies by dopamine transporter genotype in children. Neuroimage. 2010 Nov 15;53(3):970-7. doi: 10.1016/j.neuroimage.2009.12.104. Epub 2010 Jan 4.
Langer N, von Bastian CC, Wirz H, Oberauer K, Jancke L. The effects of working memory training on functional brain network efficiency. Cortex. 2013 Oct;49(9):2424-38. doi: 10.1016/j.cortex.2013.01.008. Epub 2013 Jan 31.
Allin MP, Kontis D, Walshe M, Wyatt J, Barker GJ, Kanaan RA, McGuire P, Rifkin L, Murray RM, Nosarti C. White matter and cognition in adults who were born preterm. PLoS One. 2011;6(10):e24525. doi: 10.1371/journal.pone.0024525. Epub 2011 Oct 12.
Alexander AL, Lee JE, Lazar M, Field AS. Diffusion tensor imaging of the brain. Neurotherapeutics. 2007 Jul;4(3):316-29. doi: 10.1016/j.nurt.2007.05.011.
D'Ardenne K, McClure SM, Nystrom LE, Cohen JD. BOLD responses reflecting dopaminergic signals in the human ventral tegmental area. Science. 2008 Feb 29;319(5867):1264-7. doi: 10.1126/science.1150605.
Kim SG, Ogawa S. Biophysical and physiological origins of blood oxygenation level-dependent fMRI signals. J Cereb Blood Flow Metab. 2012 Jul;32(7):1188-206. doi: 10.1038/jcbfm.2012.23. Epub 2012 Mar 7.
Goncalves SI, de Munck JC, Pouwels PJ, Schoonhoven R, Kuijer JP, Maurits NM, Hoogduin JM, Van Someren EJ, Heethaar RM, Lopes da Silva FH. Correlating the alpha rhythm to BOLD using simultaneous EEG/fMRI: inter-subject variability. Neuroimage. 2006 Mar;30(1):203-13. doi: 10.1016/j.neuroimage.2005.09.062. Epub 2005 Nov 14.
Galan RF, Ermentrout GB, Urban NN. Efficient estimation of phase-resetting curves in real neurons and its significance for neural-network modeling. Phys Rev Lett. 2005 Apr 22;94(15):158101. doi: 10.1103/PhysRevLett.94.158101. Epub 2005 Apr 19.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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05-17-23
Identifier Type: OTHER
Identifier Source: secondary_id
12266077
Identifier Type: -
Identifier Source: org_study_id
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