Cumulative procedural pain and brain development in very preterm infants: A systematic review of clinical and preclinical studies

T Boggini, S Pozzoli, P Schiavolin, R Erario… - Neuroscience & …, 2021 - Elsevier
Very preterm infants may manifest neurodevelopmental impairments, even in the absence of
brain lesions. Pathogenesis is complex and multifactorial. Evidence suggests a role of early …

[HTML][HTML] Diffusion tensor imaging in very preterm, moderate-late preterm and term-born neonates: a systematic review

M Dibble, JZ Ang, L Mariga, EJ Molloy… - The Journal of …, 2021 - Elsevier
Objective To examine white matter abnormalities, measured by Diffusion Tensor Imaging
(DTI), in very preterm (< 32 weeks) and moderate-late preterm neonates (32-37 weeks) at …

[HTML][HTML] A systematic review of immune-based interventions for perinatal neuroprotection: closing the gap between animal studies and human trials

SB Kelly, NT Tran, GR Polglase, RW Hunt… - Journal of …, 2023 - Springer
Background Perinatal infection/inflammation is associated with a high risk for neurological
injury and neurodevelopmental impairment after birth. Despite a growing preclinical …

[HTML][HTML] Neonatal morphometric similarity mapping for predicting brain age and characterizing neuroanatomic variation associated with preterm birth

P Galdi, M Blesa, DQ Stoye, G Sullivan, GJ Lamb… - NeuroImage: Clinical, 2020 - Elsevier
Multi-contrast MRI captures information about brain macro-and micro-structure which can be
combined in an integrated model to obtain a detailed “fingerprint” of the anatomical …

[HTML][HTML] General factors of white matter microstructure from DTI and NODDI in the developing brain

K Vaher, P Galdi, MB Cabez, G Sullivan, DQ Stoye… - Neuroimage, 2022 - Elsevier
Preterm birth is closely associated with diffuse white matter dysmaturation inferred from
diffusion MRI and neurocognitive impairment in childhood. Diffusion tensor imaging (DTI) …

[HTML][HTML] A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images

B Jafrasteh, SP Lubián-López… - Computer Methods and …, 2023 - Elsevier
Preterm infants are a highly vulnerable population. The total brain volume (TBV) of these
infants can be accurately estimated by brain ultrasound (US) imaging which enables a …

Structural and functional connectivity in premature neonates

RG Brenner, MD Wheelock, JJ Neil, CD Smyser - Seminars in perinatology, 2021 - Elsevier
Advances in neuroimaging have increasingly enabled researchers to investigate whether
alterations in brain development commonly identified in preterm infants underlie their high …

Benchmarking geometric deep learning for cortical segmentation and neurodevelopmental phenotype prediction

A Fawaz, LZJ Williams, A Alansary, C Bass, K Gopinath… - bioRxiv, 2021 - biorxiv.org
The emerging field of geometric deep learning extends the application of convolutional
neural networks to irregular domains such as graphs, meshes and surfaces. Several recent …

Racial and ethnic socioenvironmental inequity and neuroimaging in psychiatry: a brief review of the past and recommendations for the future

NG Harnett, LC Merrill, N Fani - Neuropsychopharmacology, 2024 - nature.com
Neuroimaging is a major tool that holds immense translational potential for understanding
psychiatric disorder phenomenology and treatment. However, although epidemiological and …

[HTML][HTML] Deficits in neural encoding of speech in preterm infants

N Novitskiy, PHY Chan, M Chan, CM Lai… - Developmental …, 2023 - Elsevier
Preterm children show developmental cognitive and language deficits that can be subtle
and sometimes undetectable until later in life. Studies of brain development in children who …