Functional connectivity in preterm infants with intraventricular hemorrhage using fNIRS
Kebaya, L. M. N.; Tang, L.; Altamimi, T.; Kowalczyk, A.; Musabi, M.; Roychaudhuri, S.; Vahidi, H.; Meyerink, P.; Camila Mayorga, P.; de Ribaupierre, S.; Bhattacharya, S.; Tristao Abi Ramia de Moraes, L.; St. Lawrence, K.; Duerden, E. G.
Show abstract
IntroductionIntraventricular hemorrhage (IVH) is a common neurological complication following very preterm birth. Resting-state functional connectivity (RSFC) using functional magnetic resonance imaging (fMRI) is associated with injury severity; yet fMRI is impractical for use in intensive care settings. Sensitive bedside neuroimaging biomarkers are needed to characterize injury patterns. Functional near-infrared spectroscopy (fNIRS) measures RSFC through cerebral hemodynamics and has greater accessibility. We aimed to determine comparability of RSFC in preterm infants with IVH using fNIRS and fMRI at term equivalent age (TEA), then examine fNIRS connectivity with the severity of IVH. MethodsVery preterm born infants with IVH were scanned with both modalities at rest at TEA (postmenstrual age=37{+/-}0.92 weeks). Connectivity maps of IVH infants were compared between fNIRS and fMRI with the Euclidean and Jaccard distances. The severity of IVH in relation to fNIRS RSFC strength was examined using generalized linear models. ResultsfNIRS and fMRI RSFC maps showed good correspondence. At TEA, connectivity strength was significantly lower in healthy newborns (p-value = 0.023) and preterm infants with mild IVH (p-value = 0.026) compared to infants with moderate/severe IVH. ConclusionfNIRS has potential to be a new tool for assessing brain injury and monitoring cerebral hemodynamics and a promising marker for IVH severity in very preterm born infants. HighlightsO_LIThere is no previous study combining fNIRS and fMRI focused on preterm neonates with IVH. C_LIO_LIThis is the first study associating functional connectivity strength yielded from fNIRS with severity of IVH. C_LIO_LIGood correspondence of functional connectivity was shown between fNIRS and fMRI. C_LIO_LIPreterm neonates showed increased functional connectivity strength compared to healthy term born neonates. This can potentially be a marker for clinical assessment of severity of IVH. C_LIO_LIfNIRS was demonstrated to have potential as a new bedside neuromonitoring tool for assessing early brain injuries of neonates. C_LI
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Automated brain morphometric biomarkers from MRI at term predict motor development in very preterm infants 94%
- Atypical neuromagnetic resting activity associated with thalamic volume and cognitive outcome in very preterm children 93%
- Early alterations in cortical and cerebellar regional brain growth in Down Syndrome: An in-vivo fetal and neonatal MRI assessment 93%
Similar papers in this journal
- Abnormal Functional Network Topology and its Dynamics during Sustained Attention Processing Significantly Implicate Post-TBI Attention Deficits in Children 95%
- Noninvasive optical monitoring of cerebral blood flow and EEG Spectral responses after Severe Traumatic Brain Injury: A Case Report 92%
- Does the Heart Fall Asleep? – Diurnal Variations of Heart Rate Variability in Patients with Disorders of Consciousness 91%
Similar papers in this journal
- Developmental trajectories and differences in functional brain network properties of preterm and at-term neonates 96%
- Altered connectome topology in newborns at risk for cognitive developmental delay: a cross-etiologic study 93%
- Effects of gestational age at birth on perinatal structural brain development in healthy term-born babies 93%
Similar papers in this journal
- Clinical Factors Associated with Microstructural Connectome Related Brain Dysmaturation in Term Neonates with Congenital Heart Disease 95%
- Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry 93%
- The influence of heart rate variability biofeedback on cardiac regulation and functional brain connectivity 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.