Kristin Keunen1, Ivana Išgum2, Britt J M van Kooij3, Petronella Anbeek4, Ingrid C van Haastert3, Corine Koopman-Esseboom3, Petronella C Fieret-van Stam5, Rutger A J Nievelstein6, Max A Viergever2, Linda S de Vries1, Floris Groenendaal1, Manon J N L Benders7. 1. Department of Neonatology, University Medical Center Utrecht, Utrecht, The Netherlands; Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands. 2. Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands; Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands. 3. Department of Neonatology, University Medical Center Utrecht, Utrecht, The Netherlands. 4. Department of Neonatology, University Medical Center Utrecht, Utrecht, The Netherlands; Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands. 5. Department of Medical Psychology, University Medical Center Utrecht, Utrecht, The Netherlands. 6. Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands. 7. Department of Neonatology, University Medical Center Utrecht, Utrecht, The Netherlands; Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: m.benders@umcutrecht.nl.
Abstract
OBJECTIVE: To evaluate the relationship between brain volumes at term and neurodevelopmental outcome through early school age in preterm infants. STUDY DESIGN: One hundred twelve preterm infants (born mean gestational age 28.6 ± 1.7 weeks) were studied prospectively with magnetic resonance imaging (imaged at mean 41.6 ± 1.0 weeks). T2- and T1-weighted images were automatically segmented, and volumes of 6 tissue types were related to neurodevelopmental outcome assessed using the Bayley Scales of Infant and Toddler Development, Third Edition (cognitive, fine, and gross motor scores) at 24 months corrected age (n = 112), Griffiths Mental Development Scales (developmental quotient) at age 3.5 years (n = 98), Movement Assessment Battery for Children, Second Edition (n = 85), and Wechsler Preschool and Primary Scale of Intelligence, Third Edition at age 5.5 years (n = 44). Corrections were made for intracranial volume, maternal education, and severe brain lesions. RESULTS: Ventricular volumes were negatively related to neurodevelopmental outcome at age 24 months and 3.5 years, as well as processing speed at age 5.5 years. Unmyelinated white matter (UWM) volume was positively associated with motor outcome at 24 months and with processing speed at age 5.5 years. Cortical gray matter (CGM) volume demonstrated a negative association with motor performance and cognition at 24 months and with developmental quotient at age 3.5 years. Cerebellar volume was positively related to cognition at these time points. Adjustment for brain lesions attenuated the relations between cerebellar and CGM volumes and cognition. CONCLUSIONS: Brain volumes of ventricles, UWM, CGM, and cerebellum may serve as biomarkers for neurodevelopmental outcome in preterm infants. The relationship between larger CGM volumes and adverse neurodevelopment may reflect disturbances in neuronal and/or axonal migration at the UWM-CGM boundary and warrants further investigation.
OBJECTIVE: To evaluate the relationship between brain volumes at term and neurodevelopmental outcome through early school age in preterm infants. STUDY DESIGN: One hundred twelve preterm infants (born mean gestational age 28.6 ± 1.7 weeks) were studied prospectively with magnetic resonance imaging (imaged at mean 41.6 ± 1.0 weeks). T2- and T1-weighted images were automatically segmented, and volumes of 6 tissue types were related to neurodevelopmental outcome assessed using the Bayley Scales of Infant and Toddler Development, Third Edition (cognitive, fine, and gross motor scores) at 24 months corrected age (n = 112), Griffiths Mental Development Scales (developmental quotient) at age 3.5 years (n = 98), Movement Assessment Battery for Children, Second Edition (n = 85), and Wechsler Preschool and Primary Scale of Intelligence, Third Edition at age 5.5 years (n = 44). Corrections were made for intracranial volume, maternal education, and severe brain lesions. RESULTS: Ventricular volumes were negatively related to neurodevelopmental outcome at age 24 months and 3.5 years, as well as processing speed at age 5.5 years. Unmyelinated white matter (UWM) volume was positively associated with motor outcome at 24 months and with processing speed at age 5.5 years. Cortical gray matter (CGM) volume demonstrated a negative association with motor performance and cognition at 24 months and with developmental quotient at age 3.5 years. Cerebellar volume was positively related to cognition at these time points. Adjustment for brain lesions attenuated the relations between cerebellar and CGM volumes and cognition. CONCLUSIONS: Brain volumes of ventricles, UWM, CGM, and cerebellum may serve as biomarkers for neurodevelopmental outcome in preterm infants. The relationship between larger CGM volumes and adverse neurodevelopment may reflect disturbances in neuronal and/or axonal migration at the UWM-CGM boundary and warrants further investigation.
Authors: Moriah E Thomason; Jasmine Hect; Rebecca Waller; Janessa H Manning; Ann M Stacks; Marjorie Beeghly; Jordan L Boeve; Kristyn Wong; Marion I van den Heuvel; Edgar Hernandez-Andrade; Sonia S Hassan; Roberto Romero Journal: Dev Psychopathol Date: 2018-08
Authors: Chandler Rebecca Lee Mongerson; Russell William Jennings; David Zurakowski; Dusica Bajic Journal: Int J Dev Neurosci Date: 2019-09-26 Impact factor: 2.457
Authors: Shaili C Jha; Kai Xia; Mihye Ahn; Jessica B Girault; Gang Li; Li Wang; Dinggang Shen; Fei Zou; Hongtu Zhu; Martin Styner; John H Gilmore; Rebecca C Knickmeyer Journal: Cereb Cortex Date: 2019-03-01 Impact factor: 5.357
Authors: Lotte G van den Heuij; Mhoyra Fraser; Suzanne L Miller; Graham Jenkin; Euan M Wallace; Joanne O Davidson; Christopher A Lear; Rebecca Lim; Guido Wassink; Alistair J Gunn; Laura Bennet Journal: J Cereb Blood Flow Metab Date: 2017-09-12 Impact factor: 6.200
Authors: Femke J Drost; Kristin Keunen; Pim Moeskops; Nathalie H P Claessens; Femke van Kalken; Ivana Išgum; Elsbeth S M Voskuil-Kerkhof; Floris Groenendaal; Linda S de Vries; Manon J N L Benders; Jacqueline U M Termote Journal: Pediatr Res Date: 2018-02-07 Impact factor: 3.756
Authors: T Vanderhasselt; M Naeyaert; N Watté; G-J Allemeersch; S Raeymaeckers; J Dudink; J de Mey; H Raeymaekers Journal: AJNR Am J Neuroradiol Date: 2020-04-16 Impact factor: 3.825
Authors: Marine Bouyssi-Kobar; Adré J du Plessis; Robert McCarter; Marie Brossard-Racine; Jonathan Murnick; Laura Tinkleman; Richard L Robertson; Catherine Limperopoulos Journal: Pediatrics Date: 2016-11 Impact factor: 7.124