» Articles » PMID: 33940145

White Matter Analysis of the Extremely Preterm Born Adult Brain

Overview
Journal Neuroimage
Specialty Radiology
Date 2021 May 3
PMID 33940145
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

The preterm brain has been analysed after birth by a large body of neuroimaging studies; however, few studies have focused on white matter alterations in preterm subjects beyond infancy, especially in individuals born at extremely low gestation age - before 28 completed weeks. Neuroimaging data of extremely preterm young adults are now available to investigate the long-term structural alterations of disrupted neurodevelopment. We examined white matter hierarchical organisation and microstructure in extremely preterm young adults. Specifically, we first identified the putative hubs and peripheral regions in 85 extremely preterm young adults and compared them with 53 socio-economically matched and full-term born peers. Moreover, we analysed Fractional Anisotropy (FA), Mean Diffusivity (MD), Neurite Density Index (NDI), and Orientation Dispersion Index (ODI) of white matter in hubs, peripheral regions, and over the whole brain. Our results suggest that the hierarchical organisation of the extremely preterm adult brain remains intact. However, there is evidence of significant alteration of white matter connectivity at both the macro- and microstructural level, with overall diminished connectivity, reduced FA and NDI, increased MD, and comparable ODI; suggesting that, although the spatial configuration of WM fibres is comparable, there are less WM fibres per voxel. These alterations are found throughout the brain and are more prevalent along the pathways between deep grey matter regions, frontal regions and cerebellum. This work provides evidence that white matter abnormalities associated with the premature exposure to the extrauterine environment not only are present at term equivalent age but persist into early adulthood.

Citing Articles

The cumulative impact of clinical risk on brain networks and associations with executive function impairments in adolescents with congenital heart disease.

Ehrler M, Speckert A, Kretschmar O, Tuura OGorman R, Latal B, Jakab A Hum Brain Mapp. 2024; 45(14):e70028.

PMID: 39377685 PMC: 11459682. DOI: 10.1002/hbm.70028.


Long-term brain structural and cognitive outcomes in a low-risk preterm-born sample.

de Gamarra-Oca L, Ojeda N, Ontanon J, Loureiro-Gonzalez B, Gomez-Gastiasoro A, Pena J Sci Rep. 2024; 14(1):21110.

PMID: 39256424 PMC: 11387778. DOI: 10.1038/s41598-024-70355-0.


Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome.

Li H, Wang J, Li Z, Cecil K, Altaye M, Dillman J Neuroimage. 2024; 291:120579.

PMID: 38537766 PMC: 11059107. DOI: 10.1016/j.neuroimage.2024.120579.


Potential Role of Endoplasmic Reticulum Stress in Modulating Protein Homeostasis in Oligodendrocytes to Improve White Matter Injury in Preterm Infants.

Liu C, Ju R Mol Neurobiol. 2024; 61(8):5295-5307.

PMID: 38180617 DOI: 10.1007/s12035-023-03905-8.


Increased white matter fibre dispersion and lower IQ scores in adults born preterm.

Lapidaire W, Clayden J, Fewtrell M, Clark C Hum Brain Mapp. 2023; 45(1):e26545.

PMID: 38070181 PMC: 10789207. DOI: 10.1002/hbm.26545.


References
1.
Silbereis J, Pochareddy S, Zhu Y, Li M, Sestan N . The Cellular and Molecular Landscapes of the Developing Human Central Nervous System. Neuron. 2016; 89(2):248-68. PMC: 4959909. DOI: 10.1016/j.neuron.2015.12.008. View

2.
Moore T, Hennessy E, Myles J, Johnson S, Draper E, Costeloe K . Neurological and developmental outcome in extremely preterm children born in England in 1995 and 2006: the EPICure studies. BMJ. 2012; 345:e7961. PMC: 3514471. DOI: 10.1136/bmj.e7961. View

3.
Rubinov M, Sporns O . Complex network measures of brain connectivity: uses and interpretations. Neuroimage. 2009; 52(3):1059-69. DOI: 10.1016/j.neuroimage.2009.10.003. View

4.
Zhang H, Schneider T, Wheeler-Kingshott C, Alexander D . NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage. 2012; 61(4):1000-16. DOI: 10.1016/j.neuroimage.2012.03.072. View

5.
Latora V, Marchiori M . Efficient behavior of small-world networks. Phys Rev Lett. 2001; 87(19):198701. DOI: 10.1103/PhysRevLett.87.198701. View