Literature DB >> 29574734

Commentary: The neonatal brain and the challenge of imaging biomarkers, reflections on Batalle et al. (2018).

John H Gilmore1.   

Abstract

This review by Batalle et al. comes at an important time in the field as neonatal imaging has matured to a point that important questions can now be asked in a more definitive way. Identifying imaging biosmarkers that reflect the prenatal and early childhood origins of cognitive ability, behavior, and risk for neuropsychiatric disorders is now possible, and this commentary offers suggestions for addressing some of the challenges that lie ahead.
© 2018 Association for Child and Adolescent Mental Health.

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Year:  2018        PMID: 29574734      PMCID: PMC8056855          DOI: 10.1111/jcpp.12890

Source DB:  PubMed          Journal:  J Child Psychol Psychiatry        ISSN: 0021-9630            Impact factor:   8.982


  7 in total

1.  Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y.

Authors:  Seung Jae Lee; Rachel J Steiner; Yang Yu; Sarah J Short; Michael C Neale; Martin Andreas Styner; Hongtu Zhu; John H Gilmore
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-19       Impact factor: 11.205

Review 2.  Prediction as a humanitarian and pragmatic contribution from human cognitive neuroscience.

Authors:  John D E Gabrieli; Satrajit S Ghosh; Susan Whitfield-Gabrieli
Journal:  Neuron       Date:  2015-01-07       Impact factor: 17.173

Review 3.  Imaging structural and functional brain development in early childhood.

Authors:  John H Gilmore; Rebecca C Knickmeyer; Wei Gao
Journal:  Nat Rev Neurosci       Date:  2018-02-16       Impact factor: 34.870

Review 4.  From Maps to Multi-dimensional Network Mechanisms of Mental Disorders.

Authors:  Urs Braun; Axel Schaefer; Richard F Betzel; Heike Tost; Andreas Meyer-Lindenberg; Danielle S Bassett
Journal:  Neuron       Date:  2018-01-03       Impact factor: 17.173

Review 5.  Building better biomarkers: brain models in translational neuroimaging.

Authors:  Choong-Wan Woo; Luke J Chang; Martin A Lindquist; Tor D Wager
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

6.  Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation.

Authors:  Jakob Seidlitz; František Váša; Maxwell Shinn; Rafael Romero-Garcia; Kirstie J Whitaker; Petra E Vértes; Konrad Wagstyl; Paul Kirkpatrick Reardon; Liv Clasen; Siyuan Liu; Adam Messinger; David A Leopold; Peter Fonagy; Raymond J Dolan; Peter B Jones; Ian M Goodyer; Armin Raznahan; Edward T Bullmore
Journal:  Neuron       Date:  2017-12-21       Impact factor: 17.173

Review 7.  Annual Research Review: Not just a small adult brain: understanding later neurodevelopment through imaging the neonatal brain.

Authors:  Dafnis Batalle; A David Edwards; Jonathan O'Muircheartaigh
Journal:  J Child Psychol Psychiatry       Date:  2017-11-03       Impact factor: 8.982

  7 in total

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