Resting-state functional MRI studies on infant brains: a decade of gap-filling efforts
Resting-state functional MRI (rs-fMRI) is one of the most prevalent brain functional imaging
modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects …
modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects …
Advanced neuroimaging and its role in predicting neurodevelopmental outcomes in very preterm infants
NA Parikh - Seminars in perinatology, 2016 - Elsevier
Up to 35% of very preterm infants survive with neurodevelopmental impairments (NDI) such
as cognitive deficits, cerebral palsy, and attention deficit disorder. Advanced MRI …
as cognitive deficits, cerebral palsy, and attention deficit disorder. Advanced MRI …
A novel transfer learning approach to enhance deep neural network classification of brain functional connectomes
Early diagnosis remains a significant challenge for many neurological disorders, especially
for rare disorders where studying large cohorts is not possible. A novel solution that …
for rare disorders where studying large cohorts is not possible. A novel solution that …
[HTML][HTML] The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants
Abstract The developing Human Connectome Project (dHCP) aims to create a detailed 4-
dimensional connectome of early life spanning 20–45 weeks post-menstrual age. This is …
dimensional connectome of early life spanning 20–45 weeks post-menstrual age. This is …
Functional connectome of the fetal brain
E Turk, MI Van Den Heuvel, MJ Benders… - Journal of …, 2019 - Soc Neuroscience
Large-scale functional connectome formation and reorganization is apparent in the second
trimester of pregnancy, making it a crucial and vulnerable time window in connectome …
trimester of pregnancy, making it a crucial and vulnerable time window in connectome …
A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants
Survivors following very premature birth (ie,≤ 32 weeks gestational age) remain at high risk
for neurodevelopmental impairments. Recent advances in deep learning techniques have …
for neurodevelopmental impairments. Recent advances in deep learning techniques have …
[HTML][HTML] Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework
Investigation of the brain's functional connectome can improve our understanding of how an
individual brain's organizational changes influence cognitive function and could result in …
individual brain's organizational changes influence cognitive function and could result in …
Altered functional network connectivity in preterm infants: antecedents of cognitive and motor impairments?
Very preterm infants (≤ 31 weeks gestational age) are at high risk for brain injury and
delayed development. Applying functional connectivity and graph theory methods to resting …
delayed development. Applying functional connectivity and graph theory methods to resting …
Neonatal stress, health, and development in preterms: a systematic review
NH van Dokkum, MLA de Kroon, SA Reijneveld… - …, 2021 - publications.aap.org
Neonatal Stress, Health, and Development in Preterms: A Systematic Review | Pediatrics |
American Academy of Pediatrics Skip to Main Content Disclaimer » Advertising AAP logo Search …
American Academy of Pediatrics Skip to Main Content Disclaimer » Advertising AAP logo Search …
Deep multimodal learning from MRI and clinical data for early prediction of neurodevelopmental deficits in very preterm infants
The prevalence of disabled survivors of prematurity has increased dramatically in the past 3
decades. These survivors, especially, very preterm infants (VPIs), born≤ 32 weeks …
decades. These survivors, especially, very preterm infants (VPIs), born≤ 32 weeks …