{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T12:58:21Z","timestamp":1783688301267,"version":"3.55.0"},"reference-count":54,"publisher":"BMJ","issue":"5","license":[{"start":{"date-parts":[[2020,5,12]],"date-time":"2020-05-12T00:00:00Z","timestamp":1589241600000},"content-version":"unspecified","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"National Health and Medical Research Council of Australia","award":["GNT1161998"],"award-info":[{"award-number":["GNT1161998"]}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"published-print":{"date-parts":[[2020,5]]},"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>Infants born very preterm are at risk of adverse neurodevelopmental outcomes, including cognitive deficits, motor impairments and cerebral palsy. Earlier identification enables targeted early interventions to be implemented with the aim of improving outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods and analysis<\/jats:title><jats:p>Protocol for 6-year follow-up of two cohorts of infants born &lt;31 weeks gestational age (PPREMO: Prediction of Preterm Motor Outcomes; PREBO: Prediction of Preterm Brain Outcomes) and a small term-born reference sample in Brisbane, Australia. Both preterm cohorts underwent very early MRI and concurrent clinical assessment at 32 and 40\u2009weeks postmenstrual age (PMA) and were followed up at 3, 12 and 24\u2009months corrected age (CA). This study will perform MRI and electroencephalography (EEG). Primary outcomes include the Movement Assessment Battery for Children second edition and Full-Scale IQ score from the Wechsler Intelligence Scale for Children fifth edition (WISC-V). Secondary outcomes include the Gross Motor Function Classification System for children with cerebral palsy; executive function (Behavior Rating Inventory of Executive Function second edition, WISC-V Digit Span and Picture Span, Wisconsin Card Sorting Test 64 Card Version); attention (Test of Everyday Attention for Children second edition); language (Clinical Evaluation of Language Fundamentals fifth edition), academic achievement (Woodcock Johnson IV Tests of Achievement); mental health and quality of life (Development and Well-Being Assessment, Autism Spectrum Quotient-10 Items Child version and Child Health Utility-9D).<\/jats:p><\/jats:sec><jats:sec><jats:title>Aims<\/jats:title><jats:list list-type=\"order\"><jats:list-item><jats:p>Examine the ability of early neonatal MRI, EEG and concurrent clinical measures at 32 weeks PMA to predict motor, cognitive, language, academic achievement and mental health outcomes at 6 years CA.<\/jats:p><\/jats:list-item><jats:list-item><jats:p>Determine if early brain abnormalities persist and are evident on brain MRI at 6 years CA and the relationship to EEG and concurrent motor, cognitive, language, academic achievement and mental health outcomes.<\/jats:p><\/jats:list-item><\/jats:list><\/jats:sec><jats:sec><jats:title>Ethics and dissemination<\/jats:title><jats:p>Ethical approval has been obtained from Human Research Ethics Committees at Children\u2019s Health Queensland (HREC\/19\/QCHQ\/49800) and The University of Queensland (2019000426). Study findings will be presented at national and international conferences and published in peer-reviewed journals.<\/jats:p><\/jats:sec><jats:sec><jats:title>Trial registration number<\/jats:title><jats:p>ACTRN12619000155190p.<\/jats:p><\/jats:sec><jats:sec><jats:title>Web address of trial<\/jats:title><jats:p><jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/www.anzctr.org.au\/Trial\/Registration\/TrialReview.aspx?ACTRN=12619000155190p\">http:\/\/www.anzctr.org.au\/Trial\/Registration\/TrialReview.aspx?ACTRN=12619000155190p<\/jats:ext-link><\/jats:p><\/jats:sec>","DOI":"10.1136\/bmjopen-2019-036480","type":"journal-article","created":{"date-parts":[[2020,5,13]],"date-time":"2020-05-13T09:46:39Z","timestamp":1589363199000},"page":"e036480","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":17,"title":["Prediction of childhood brain outcomes in infants born preterm using 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