Identifying imaging biomarkers in the neonatal brain

Dr Jessica Edwards


Jessica received her MA in Biological Sciences and her DPhil in Neurobehavioural Genetics from the University of Oxford (Magdalen College). After completing her post-doctoral research, she moved into scientific editing and publishing, first working for Spandidos Publications (London, UK) and then moving to Nature Publishing Group. Jessica is now a freelance editor and science writer, and started writing for “The Bridge” in December 2017.

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The past decade has seen great improvements in magnetic resonance imaging technologies, such that it is now possible to image the developing brain in utero. In 2018, Dafnis Batalle and colleagues compiled an Annual Research Review for the Journal of Child Psychology and Psychiatry, where they evaluated the current status of neuroimaging research in neonates and paediatrics to determine the origins of neuropsychiatric and neurodevelopmental disorders.

The researchers highlighted some interesting points regarding the effects of preterm birth on neurological, behavioural and cognitive outcomes. Numerous imaging studies have shown that white matter1 and cortical connectivity abnormalities2 in preterm babies might be associated with late language development and impaired cognitive performance in children, respectively. They also outlined some of the recent studies that have started to identify putative infant brain markers that might be associated with neurodevelopmental disorders.

Most advances have been in autism, where such markers might include cortical surface area expansion3 and increased extra-axial cerebral spinal fluid volume4. Batalle et al. urge caution, however, when translating such neurodevelopmental “risk factors” to a complex pathological phenotype such as autism. Many of the studies to date have focused on at-risk subgroups of children, and it is unclear whether imaging findings can be applied to broader groups. In addition, imaging biomarkers of neurodevelopmental disorders typically have a small effect size and thus much larger, longitudinal cohort studies are needed to derive truly empirical evidence.

Predicting true behavioural or disease outcomes from brain imaging data is clearly a challenge. Batalle et al. are reassured, however, that the expansion of neonatal neuroimaging research over recent years reflects the increased awareness that psychiatric diseases might be better described as disorders of brain development.

Batalle, D., Edwards, A.D. and O’Muircheartaigh, J. (2018), Annual Research Review: Not just a small adult brain: understanding later neurodevelopment through imaging the neonatal brain. J. Child Psychol. Psychiatr. 59: 350-371. doi:10.1111/jcpp.12838

A pdf version of this article is available to download.

 Accompanying commentary

 Gilmore, J.H. et al. (2018), Commentary: The neonatal brain and the challenge of imaging biomarkers, reflections on Batalle et al. (2018). J. Child Psychol. Psychiatr. 59: 372-373. doi:10.1111/jcpp.12890

Further reading

1Salvan, P. et al. (2017), Language ability in preterm children is associated with arcuate fasciculi microstructure at term. Human Brain Mapp. 38: 582-592. doi:10.1002/hbm.23632

2Ball, G. et al. (2015), Thalamocortical connectivity predicts cognition in children born preterm. Cereb. Cortex 25: 4310-4318. doi:10.1093/cercor/bhu331

3Hazlett, H.C. et al. (2017), Early brain development in infants at high risk for autism spectrum disorder. Nature 542: 348-351. doi:10.1038/nature21369

4Shen, M.D. et al. (2017), Increased extra-axial cerebrospinal fluid in high-risk infants who later develop autism. Biol. Psychiatry 82: 186-193. doi:10.1016/j.biopsych.2017.02.1095

Discussion

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I think that it would be more appropriate to look at children undertaking specific interventions to improve their cognitive function so that you can observe changes in the “environment” and how that improves the brain’s ability to perceive messages from the motor skills and the senses especially sound and vision processing.
In our practical experience moving factors such as motor skills, sound and visual processing can all be improved to radically change cognitive processing. “Neurodiverse” is a dangerous concept which suggests that nothing can be done, but humans are far more complex than a binary switch.

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